P001 Reduced cellular respiration and ATP production in an in vitro model of sepsis
V Herwanto1, Y Wang1, M Shojaei1, B Tang2, AS McLean2
1University of Sydney, Westmead, Australia; 2Nepean Hospital University of Sydney, Nepean Clinical School, Kingswood, Australia
P002 Noninvasive technique using fluorescence imaging to assess vascular permeability in sepsis
T Shimazui1, T Nakada1, L Fujimura2, A Sakamoto2, M Hatano2, S Oda1
1Chiba University Hospital, Chiba; Japan, 2Chiba University, Chiba, Japan
P003 Correlation of systemic and regional glycocalyx injury parameters in non-septic critically ill patients
T Tamosuitis1, A Pranskunas1, N Balciuniene1, D Damanskyte1, E Sirvinskas1, A Vitkauskiene1, E Sneideris1, C Boerma2
1Lithuanian University of Health Sciences, Kaunas, Lithuania, 2Medical Center Leeuwarden, Leeuwarden, Netherlands
P004 Glycocalyx degradation in sepsis at admission
D Beurskens1, M Bol2, B Broddin2, C Reutelingsperger1, T Delhaas1, M Poll2, G Nicolaes2, J Sels2
1Maastricht University, Maastricht, Netherlands; 2MUMC, Maastricht, Netherlands
P005 The role of glycocalyx shedding and platelet adhesion in sepsis-induced microvascular dysfunction
CL Manrique-Caballero, CJ Baty, MH Oberbarnscheidt, A Frank, FG Lakkis, BS Zuckerbraun, MR Pinsky, JA Kellum, H Gomez
University of Pittsburgh, Pittsburgh, PA, USA
P006 AMPK protects against sepsis-induced endothelial dysfunction through cytoskeleton modulation
M Angé1, L Bertrand1, C Beauloye1, S Horman1, D Castanares-Zapatero2
1Institut de Recherche Experimentale et Clinique - Pôle de Recherche Cardiovasculaire, Brussels, Belgium; 2Cliniques Universitaires Saint Luc - Intensive Care Unit, Brussels, Belgium
P007 Melusin protects from LPS-induced cardiomyopathy through modulation of calcium channel signalling
P Arina1, A Costamagna1, L Brazzi1, M Brancaccio2, R Giuseppe1, N Vitale2, L Del Sorbo1, P Capello3, A Mazzeo4, L Mascia5, VM Ranieri6, M Sorge2, V Fanelli4
1Università di Torino, Dipartimento di Anestesia e Rianimazione, Torino, Italy; 2Università di Torino, Molecular Biotechnology Center - Torino, Torino, Italy; 3Università di Torino, Department of Molecular Biotechnology and Health Sciences, Torino, Italy; 4Università di Torino, Dipartimento di Scienze Chirurgiche, Torino, Italy; 5Università degli Studi di ROMA "La Sapienza", Dipartimento di Scienze E Biotecnologie Medico-Chirurgiche, Roma, Italy; 6Università degli Studi di ROMA "La Sapienza", Dipartimento di Scienze Cardiovascolari, Respiratorie, Nefrologiche, Anestesiologiche E Geriatriche, Roma, Italy
P008 Hepatic function is impaired after abdominal surgery and prolonged sedation and mechanical ventilation
S Liu1, M Jakob2, A Kohler2, D Berger1, S Jakob1
1Inselspital, Bern University Hospital, University of Bern, Department of Intensive Care Medicine, Bern, Switzerland; 2Inselspital, Bern University Hospital, University of Bern, Department of Visceral Surgery and Medicine, Bern, Switzerland
Parameter | Group | Baseline [Median, (quartile)] | SI + 80h [Median, (quartile)] | P value (Friedman) |
---|---|---|---|---|
ICG R15 (%) | Sepsis (n=4)/Control (n=4) | 6.2 (5.3, 19.3)/4.3 (3.3, 19.5) | 35.4 (18.7, 47.5)/20.2 (17.4, 33.8) | 0.02/0.04 |
PV (L) | Sepsis (n=4)/Control (n=4) | 2.8 (2.5, 3.1)/2.5 (2.4, 2.7) | 3.0 (2.3, 3.7)/3.2 (3.0, 3.5) | 0.83/0.02 |
HF (ml/min) | Sepsis (n=4)/Control (n=4) | 819 (634, 1054)/1319 (1036, 1969) | 890 (631, 1062)/1058 (814, 1265) | 0.21/0.44 |
Bilirubin (μ mol/L) | Sepsis (n=4)/Control (n=4) | 0.7 (0.4, 1.0)/1.6 (1.0, 1.9) | 4.6 (0.8, 16.3)/0.9 (0.4, 1.8) | 0.06/0.13 |
ALT (IU) | Sepsis (n=4)/Control (n=4) | 38.5 (27.0, 49.3)/30.5 (17.2, 36.3) | 29.0 (22.5, 40.8)/22.0 (18.8, 24.5) | 0.27/0.62 |
AST (IU) | Sepsis (n=4)/Control (n=4) | 60.5 (41.3, 67.0)/68.5 (31.8, 116.5) | 60.5 (35.8, 78.5)/39.0 (25.5, 41.3) | 0.15/0.02 |
PT (s) | Sepsis (n=4)/Control (n=4) | 13.6 (13.2, 14.5)/13.3 (12.7, 13.8) | 14.3 (13.9, 14.7)/13.4 (12.9, 14.2) | 0.24/0.27 |
P009 Preclinical evaluation of non-anticoagulant heparin in mouse models of inflammation and sepsis.
GA Nicolaes1, DM Beurskens1, P Garcia de Frutos2, J Van Daal3, R Schrijver3, B Kool3, C Aresté2, S De Kimpe3, CP Reutelingsperger1
1Cardiovascular Research Institute Maastricht, Maastricht, Netherlands; 2Department of Cell Death and Proliferation, Institute of Biomedical Research of Barcelona, Barcelona, Spain; 3Matisse Pharmaceuticals BV, Geleen, Netherlands
P010 Differential modulation of plasminogen activator mediated thrombolysis by recombinant thrombomodulin and activated protein c
Z Siddiqui1, S Raghuvir1, J Fareed1, R Wasmund1, O Iqbal1, W Jeske1, D Hoppensteadt1, K Tanaka2, K Tsuruta2
1Loyola University Medical Center, Maywood, IL, USA; 2Asahai Kasei Pharma America Corporation, Waltham, MA, USA
P011 Anticoagulant actions of recombinant thrombomodulin and activated protein c and their neutralization by factor viii inhibitor bypass activity (FEIBA)
Z Siddiqui1, W Jeske1, M Lewis1, P Aggarwal1, O Iqbal1, D Hoppensteadt1, K Tsuruta2, J Fareed1, S Mehrota1, R Wahi1
1Loyola University Medical Center, Maywood, IL, USA; 2Asahai Kasei Pharma America Corporation, Waltham, MA, USA
P012 HLA-DRA and CD74 on intensive care unit admission related to outcome in sepsis
S Cajander1, B Stammler Jaliff2, A Somell2, A Bäckman1, H Alpkvist2, V Özenci2, J Wernerman2, K Strålin2
1Faculty of Medicine and Health, Örebro University, Örebro, Sweden; 2Karolinska University Hospital, Stockholm, Sweden
Event | HLA-DRA (IQR) | CD74 (IQR) |
---|---|---|
Death (n=36) | 1.14 (0.73-2.19) vs 1.64 (1.01-2.78) p=0.017 | 2.05 (1.52-3.64) vs 2.70 (1.71-4.18) p=0.22 |
Secondary infection (n=32) | 1.37 (0.65-2.53) vs 1.51 (0.96-2.62) p=0.045 | 2.25 (1.39-3.43) vs 2.82 (1.74-4.18) p=0.062 |
Death and/or secondary infection (n=60) | 1.21 (0.72-2.53) vs 1.71 (1.06-2.78) p=0.007 | 2.10 (1.52-3.64) vs 2.99 (1.75-4.19) p=0.070 |
P013 Acid-base profile of patients with infection during the first 24 hours of intensive care unit admission
RM Roepke, BA Besen, PV Mendes, LU Taniguchi, M Park
Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
P014 The relationship between serum zinc level and sepsis-induced coagulopathy
Y Irie, H Ishikura, R Hokama, M Koie, K Muranishi, K Hoshino, R Yuge, T Kitamura, M Iwaasa
Fukuoka University Hospital, Fukuoka city, Japan
P015 Association between inflammatory markers and cognitive outcome in patients with acute brain dysfunction due to sepsis
G Orhun1, E Tuzun2, P Ergin Ozcan1, C Ulusoy2, E Yildirim2, M Kucukerden2, H Gurvit3, F Esen1
1Istanbul University; Medical Faculty of Istanbul, Anesthesiology and Intensive Care, Istanbul, Turkey,2Istanbul University, Institute of Experimental Medicine, Neuroscience, Istanbul, Turkey,3Istanbul University; Medical Faculty of Istanbul, Department of Neurology, Behavioral Neurology and Movement Disorders Unit, Istanbul, Turkey
P016 Altered serum profile of aromatic metabolites reflects the biodiversity reduction of gut microbiota in critically ill patients
N Beloborodova, E Chernevskaya, A Pautova, A Bedova, A Sergeev
Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia
P017 Can biomarkers help identifying the type of blood stream infection in septic patients?
H Brodska 1, V Adamkova1, K Pelinkova1, A Studena1, J Zavora1, T Drabek2
1Charles University, Prague, Czech Republic,2University of Pittsburgh, Pittsburgh, PA, USA
P018 Clinical and diagnostic value of plasma concentration of nitrogen oxide in newborns with respiratory diseases
MG Pukhtinskaya, V Estrin
State Medical University, Rostov-on-Don, Russia
P019 Plasma myeloperoxidase conjugated-DNA level as predictors of outcome and organ dysfunction in septic shock patients: possible therapeutic effect of hemoperfusion with a polymyxin B immobilized fiber column
N Takeyama, Y Maruchi, T Gocho, H Mori, N Takenaka, M Tsuda, H Noguchi
Aichi Medical University, Aichi, Japan
P020 Prognostic role of neutrophil lymphocyte ratio (NLR) in critical illness
M Ferrari, G Keegan, K Williams, ID Welters
Royal Liverpool University Hospital, Liverpool, UK
P021 The platelet, eosinophil, age, red cell distribution width (PEAR) score and out-of-hospital outcomes in critical illness survivors
L Maher1, L Roeker2, T Moromizato3, F Gibbons4, KB Christopher5
1The Lahey Hospital & Medical Center, Burlington, VT, USA,2Memorial Sloan Kettering Cancer Center, New York, NY, USA,3Okinawa Southern Medical Center and Children’s Hospital, Naha, Japan,4Massachusetts General Hospital, Boston, MA, USA,5Brigham and Women's Hospital, Boston, MA, USA
P022 Validation of the neutrophil-lymphocyte count ratio and leukocyte score as prognostic markers in community acquired pneumonia
M Morales-Codina, R Subirana, A Pérez, N Bacelar, J Font, N Angrill, M Gallego, E Diaz, J Vallés
CSU Parc Tauli, Sabadell, Spain
P023 Biomarkers of platelet activation and their prognostic value in patients in sepsis associated coagulopathy
D Hoppensteadt1, G Wegryzn1, A Walborn1, P Maia1, S Walborn1, R Green1, M Mosier1, M Rondina2, J Fareed1
1Loyola University Medical Center, Maywood, IL USA, 2University of Utah School of Medicine, Salt Lake City, UT, USA
<50 (k/ul) | 50-99 (k/ul) | 100-149 (k/ul) | >150 (k/ul) | |
---|---|---|---|---|
CD40L (pg/ml) | 127.0 ± 46.0 | 158.0 ± 42.0 | 274.0 ± 37.0 | 496.0 ± 94.0 |
vWF (%) | 218.0 ± 35.0 | 268.0 ± 18.0 | 274.0 ± 16.0 | 232.0 ± 8.6 |
PF4 (ng/ml) | 46.0 ± 3.4 | 52.0 ± 5.6 | 81.0 ± 8.2 | 84.0 ± 4.6 |
MP (nM) | 20.0 ± 4.8 | 20.0 ± 5.5 | 29.0 ± 4.3 | 47.0 ± 4.0 |
n | 5 | 16 | 20 | 61 |
P024 Prognostic value of mean platelet volume in septic patients: a prospective study
A Chaari
King Hamad University Hospital, Bussaiteen, Bahrain
P025 Endotoxin activity assay levels measured within 24 hours after ICU admission affected patients’ severity assessments
A Kodaira1, T Ikeda2, S Ono2, S Suda2, T Nagura2
1Tokyo Medical University, Tokyo, Japan,2Tokyo Medical University, Hachioji Medical Center, Tokyo, Japan
P026 Interleukin 10 release after ex vivo stimulation of whole blood predicts clinical outcomes in sepsis
H Perrichet1, C Martin-Chouly2, JT Ross3, C Rousseau2, P Seguin1, N Nesseler1
1University Hospital Pontchaillou, Rennes, France,2Rennes 1 University, Rennes, France,3University of California, San Francisco, CA, USA
Patients who decrease IL10 release (n=11) | Patients who increase IL10 release (n=24) | p | |
---|---|---|---|
Age (years, mean ± SD) | 58 ± 17 | 61 ± 15 | 0.4 |
SOFA score at day 1 (mean ± SD) | 9 ± 4 | 6 ± 3 | 0.02 |
SOFA score at day 7 (mean ± SD) | 5 ± 5 | 2 ± 2 | 0.02 |
ICU free-days (days, mean ± SD) | 12 ± 10 | 20 ± 6 | 0.04 |
Ventilation free-days (days, mean ± SD) | 20 ± 9 | 25 ± 4 | 0.2 |
Dialysis (n, %) | 6 (54) | 1 (4) | 0.002 |
3-month mortality (n, %) | 1 (9) | 2 (8) | 1 |
P027 Is serum procalcitonin a reliable marker of bacterial sepsis after hyperthermic intraperitoneal chemotherapy with cytoreductive surgery (HIPEC-CRS)?
Y Al Drees, A Alrbiaan, A Elhazmi, T Amin, N Salahuddin
King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
P028 Early prognostic value of serum procalcitonin in post cardiac surgery patients with fever.
S Sudarsanan, A Pattath, A Omar, P Sivadasan, S Aboulnaga, F Hamwi, A Al Khulaifi
Heart Hospital, Hamad Medical Corporation, Doha, Qatar
P029 Analysis of the trend of procalictonin levels in post cardiac surgery patients
S Sudarsanan, A Pattath, A Omar, P Sivadasan, S Aboulnaga, F Hamwi, A Al Khulaifi
Heart Hospital, Hamad Medical Corporation, Doha, Qatar
P030 Prognostic value of procalcitonin, pro-adrenomedullin, copeptin and atrial natriuretic peptide as predictors of duration of artificial lung ventilation and length of stay in intensive care unit for newborns and children of the first year of life after cardiac surgery with cardiopulmonary bypass
A. Khrustalev, D. Popov, O. Stepanicheva
Bakoulev Scientific Center for Cardiovascular Surgery, Moscow, Russia
P031 Association of inflammatory and hemostatic biomarkers with inflammasomes in septic patients at risk of developing coagulopathy
D Hoppensteadt, R Green, A Walborn, G Wegrzyn, S Walborn, M Mosier, J Fareed
Loyola University Medical Center, Maywood, IL, USA
NLRP-3 Inflammasome Correlation | p (Mann-Whitney) | Spearman r |
---|---|---|
CD40L | 0.5716 | -0.08028 |
PAI-1 | 0.0041 | 0.3915 |
MP-TF | 0.1491 | 0.2528 |
Fibrinogen | 0.7685 | 0.04314 |
Fibronectin | 0.8291 | -0.03067 |
Cortisol | 0.0758 | 0.2484 |
D-Dimer | 0.3272 | 0.1495 |
P032 Heparin-binding protein (HBP) as an index of pro-inflammation in sepsis
T Gkavogianni, E Tzouveli, D Benas, G Papagiannopoulou, S Grigoropoulou, A Spanos, E Giamarellos-Bourboulis
ATTIKON University Hospital, Athens, Greece
P033 Integration of heparin-binding protein (HBP) and one sign of quick SOFA score (qSOFA) to predict 30-day outcome.
E Kyriazopoulou, C Psarrakis, C Moschopoulos, I Christou, P Fragkou, T Marantos, E Karofyllakis, K Roussakis, E Giamarellos-Bourboulis
Attikon University Hospital, Athens, Greece
P034 Usefulness of heparin binding protein in early diagnosis of septic shock
C Balci, E Haftaci, B Koyun
Health Sciences University, Kocaeli Derince Traning Hospital, Kocaeli, Turkey
P035 Change of ADAMTS-13 during sepsis is associated with outcome
I Vasileiadis1, M Politou2, N Rovina1, S Dimopoulos2, E Tripodaki3, A Kyriakoudi1, E Ntouka1, E Stavrou1, A Koutsoukou1
1Sotiria Hospital, National and Kapodistrian University of Athens, Athens, Greece,2Onasseio Cardiac Surgery Center, Athens, Greece,3Agios Savvas Regional Cancer Hospital, Athens, Greece
P036 Integration of biomarkers and clinical signs for the early diagnosis of sepsis
L Lazaridis1, S Karatzas2, A Prekates3, K Toutouzas2, C Mathas4, J Popp5, J Olsen6, E Giamarellos-Bourboulis1
1Attikon University Hospital, Athens, Greece,2Ippokrateion General Hospital, Athens, Greece,3Tzaneion Hospital, Piraeus, Greece,4Aghia Olga Hospital, Athens, Greece,5Leibniz Instiute for Photonic Technology, Jena, Germany,6Virogates SA, Copenhagen, Denmark
P037 TRIAGE Study protocol: Assessment of biomarkers to predict clinical worsening of patients with sepsis admitted in the Emergency Department
T Lafon1, C Vallejo1, L Barbier2, MA Cazalis2, T Daix1, A Desachy1, V Gissot3, PF Laterre4, K Tazarourte5, B François1
1Centre Hospitalier Universitaire Dupuytren, Limoges, France,2bioMérieux SA, Marcy l’Etoile, France,3CHU de Tours/Université François Rabelais, Tours, France,4Cliniqies Saint-Luc, Brussels, Belgium,5Groupement Hospitalier Edouard Herriot - Hospices Civils de Lyon, Lyon, France
P038 Immune profiling of host response biomarkers through transcriptomic analysis using the FilmArray® system.
DM Tawfik1, L Ganee1, A Bocquet1, V Moucadel1, J Textoris1, T Rimmele2, G Monneret 2, S Blein 1, M Rol 3, J Montgomery4, F Mallet1, A Pachot 1, J Yugueros Marcos 1,.REALISM Study group5
1bioMerieux, Lyon, France,2Hospices Civils de Lyon, Lyon, France,3Bioaster Technology Research Institute, Lyon, France,4BioFire Diagnostics LLC Salt Lake City, UT, USA,5REALISM Study group, Lyon, France
P039 Rapid biophysical analysis of host immune cells enables diagnosis of sepsis in the emergency department
M Macdonald1, R Sheybani1, A DeWitt2, S Brierre3, T Caffery3, T Jagneaux3, C Thomas3, D Di Carlo4, H Tse1, A Shah1, H O’Neal3
1CytoVale, San Francisco, CA, USA,2Baton Rouge General Medical Center, Baton Rouge, LA, USA,3Louisiana State University Health Sciences Center, Baton Rouge, LA, USA,4University of California, Los Angeles, CA, USA
P040 Oxidative stress and other biomarkers to predict the presence of sepsis in ICU patients
V Tsolaki, M Karapetsa, G Ganeli, E Zakynthinos
ICU, Larissa, Greece
P041 Relationship between pre-operative C-reactive protein elevation and major cardiovascular events after vascular surgery
I Ben Naoui, A El Ghali, AG Ammous, I Nefzi, A Saidi, A Ammous, A Cherif
La Rabta Hospital, Tunis, Tunisia
Cardio-vascular complications | percentage |
---|---|
Chest pain | 2 (6.6%) |
Ths elevation | 13 (43.3%) |
Electrocardiogram changes | 1(3.3%) |
Arrhythmia | 2(6.6%) |
Pulmonary embolism | 1(3.3%) |
Stroke | 1(3.3%) |
P042 Impact of age in critically ill infected patients: a post-hoc analysis of the INFAUCI study
S Moreira1, J Baptista1, F Froes2, J Pereira3, J Gonçalves-Pereira4, C Dias5, J Paiva3
1Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal,2Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisboa, Portugal,3Centro Hospitalar São João, Porto, Portugal,4Hospital Vila Franca de Xira, Vila Franca de Xira, Portugal,5Centro de Investigação em Tecnologias e em Serviços de Saúde, Porto, Portugal
P043 Review of rejected microbiology specimens from intensive care
AR Garg1, E Sherry1, L Verrinder1, JM Patel2
1University Hospital Birmingham, Birmingham, UK,2University of Birmingham, Birmingham, UK
Reason for rejection | n |
---|---|
Insufficient sample | 46/143 (32%) |
Wrong sample type | 37/143 (25%) |
Patient Identification error | 24/143 (16%) |
Incorrect info on form | 23/143 (16%) |
Incorrect timing | 9/143 (6%) |
Others (Wrong lab, Test unavailable) | 2/143 |
P044 Microbiological colonization of ICU healthcare workers’ mobile phones
A Galazzi1, E Broggi1, A Grancini1, M Panigada1, I Zainaghi1, F Binda1, T Mauri2, G Grasselli2, I Adamini1, A Pesenti2
1Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, Milano, Italy,2Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, University of Milan, Milan, Italy
P045 Microbiological contamination of mobile phones carried by health care workers in intensive care units and operating room
P Mogrovejo, S Castro, V Arízaga, E Guerrero, A Loja, L Tamayo, H Aguirre
Santa Inés Hospital, Cuenca, Ecuador
Department | Non pathogenic bacteria | Pathogenic bacteria | Pathogenic bacteria | Negative |
---|---|---|---|---|
Non drug resistant | Drug resistant | |||
AICU | 5 (20%) | 8 (32%) | 9 (36%) | 3 (12%) |
PICU | 8 (54%) | 4 (26%) | 3 (20%) | - |
OR | 7 (35%) | 10 (50%) | 3 (15%) | - |
Total | 20 (33%) | 22 (37%) | 15 (25%) | 3 (5%) |
P046 Assessment of the variability of airborne contamination levels in an intensive care unit over a 24 hour period
M Booth1, L Dougall2, E Khoo3, H Hood3, S MacGregor2, M Maclean2
1Glasgow Royal Infirmary, Glasgow, UK,2University of Strathclyde, Glasgow, UK,3University of Glasgow, Glasgow, UK
P047 New practice of fixing the venous catheter of the jugular on the thorax and its impact on the infection
F Goldstein, C Carius, A Coscia
QuintaD’or, Rio de Janeiro, Brazil
P048 The Oral Biofilm Index in patients hospitalized on an intensive care unit
R Marinho1, J Marinho1, A Marinho1, J Frias-Bulhosa2
1Centro Hospitalar do Porto, Porto, Portugal,2Universidade Fernando Pessoa, Porto, Portugal
P049 Positive pocket cultures and infection risk after cardiac electronic device implantation-a retrospective observational single-center cohort study
P Pekić1, M Bura2, N Marić1
1University Hospital "Sveti Duh", Zagreb, Croatia,2Neuropsychiatric hospital "dr. Ivan Barbot", Popovača, Croatia
P050 Use of dry bathing for intensive care patients
W Yacov, Y Polishuk, A Geal-dor, G Yosef- hay
Kaplan Medical Center, Rehovot, Israel
P051 Pragmatic selective digestive decontamination (SDD): ventilator-associated pneumonia (VAP) rates & local antibiotic resistance
J Highgate1, A Rashid2, J Kilic1, F Baldwin1
1Brighton and Sussex University Hospitals NHS Trust, Brighton, UK,2University of Brighton, Brighton, UK
SDD Period | Protocol | Adherence % NG Gentamicin | Adherence % IV antibiotics | VAP cases per 1000 ventilator days (P=0.8) |
---|---|---|---|---|
Pre | Oral chlorhexidine | N/A | N/A | 16.6 |
Full | Oropharyngeal SDD paste & NG gentamicin/nystatin | 80.3 | 45 | 20.1 |
Partial | NG gentamicin/nystatin | 70 | 60 | 16.7 |
Organism & resistance | Pre | Full | Partial |
---|---|---|---|
Enterobacteriaceae | N=24 | N=22 | N=23 |
Ceftazidime | 4 | 2 | 6 |
Gentamicin | 0 | 0 | 1 |
Pseudomonas sp. | N=10 | N=12 | N=11 |
Ceftazidime | 2 | 0 | 1 |
Meropenem | 0 | 0 | 2 |
MRSA | N=1 | N=1 | N=3 |
P052 Arterial catheter colonization and related bloodstream infection in ICU: is this an issue?
S Moreira, C Silva, JP Baptista, C Monteiro, A Marques, P Coutinho, J Pimentel
Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
P053 A multimodality approach to decreasing ICU infections by hydrogen peroxide, silver cations and compartmentalization and applying acinetobacter as infection marker
A Al Bshabshe1, M Hamid 1, A Assiri2, M Joseph1
1King Khalid University, Abha, Saudi Arabia, 2Aseer Central Hospital, Abha, Saudi Arabia
P054 A review of current practice of continuous antibiotic infusions on intensive care units in England
G Page, E Turner, C Day
Royal Devon and Exeter Hospital, Exeter, UK
-
Are you using continuous or extended antibiotic infusions?
-
Which antibiotics are you using for continuous or extended infusions?
-
If not currently using has it been considered?
P055 Infections in a tertiary referral hospital intensive care unit in Rwanda
J Mvukiyehe1, P Banguti1, R Elisabeth2, J Richard3, E Tuyishime1
1University of Rwanda, Kigali, Rwanda,2Harvard University, Boston, MA, USA,3Minnesota University, Minneapolis, MN, USA
P056 The last three days
G Latten1, P Stassen2
1Zuyderland MC, Sittard-Geleen, Netherlands,2Maastricht UMC+, Maastricht, Netherlands
P057 Severe tetanus: clinical data in a Moroccan medical intensive care unit
H Ezzouine, Z Sghier, Y Hafiani, K Mediouni, A Benslama
Faculty of medicine and pharmacy.University Hassan II.Casablanca, Casablanca, Morocco
P058 Bloodstream infections in the ICU of a tertiary care hospital: analysis of resistance patterns
T Melissopoulou, S Kolovou, M Panoutsopoulou, T Kypraiou, M Papadimitriou, O Apostolou, J Deliolanis, A Pantazatou, A Skiada, J Pavleas, J Floros
Laiko Hospital, Athens, Greece
P059 Nosocomial sinusitis in intensive care unit patients
I Titov 1, S Melnyk2, M Grynovska1
1Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine,2Ivano-Frankivsk Regional Clinical Hospital, Ivano-Frankivsk, Ukraine
P060 The impact of TB on ICU in a high incidence area of the UK: a ten year analysis
J Barrett1, A Keeley1, D Keane1, L John1, W Lynn2, N Sabir1
1Northwick Park Hospital, London, UK,2Ealing Hospital, London, UK
Reason for admission | No (%) |
---|---|
Type 1 respiratory failure | 30 |
Type 2 respiratory failure | 8 (10) |
Sepsis/septic shock | 18 (23) |
Renal failure | 12 (15) |
Neurological dysfunction | 7 (9) |
>1 reason for admission | 24 (31) |
ICU TB patients (n=78) | Non-ICU TB patients (n=3933) | |
---|---|---|
Mean age | 56 (range 17-84) | 28 (range 0-96) |
%Male | 68% | 58% |
TB smear +/culture + | 28%/54% | 20%/49% |
Pulmonary TB | 64% | 44% |
Abdominal TB | 17% | 8% |
Miliary TB | 13% | 3% |
TB meningitis | 12% | 2% |
P061 Short term antibiotics prevent early VAP in patients treated with mild therapeutic hypothermia after cardiac arrest
T Daix1, A Cariou2, F Meziani3, PF Dequin4, C Guitton5, N Deye6, G Plantefève7, JP Quenot8, A Desachy9, T Kamel10, S Bedon-Carte11, JL Diehl12, N Chudeau13, E Karam14, F Renon-Carron1, A Hernandez Padilla 1, P Vignon1, A Le Gouge4, B François1
1Centre Hospitalier Universitaire Dupuytren, Limoges, France,2hôpital Cochin (APHP) et université Paris Descartes, Paris, France,3Université de Strasbourg (UNISTRA), Faculté de Médecine, Hôpitaux universitaires de Strasbourg/Nouvel hôpital civil, Strasbourg, France,4CHU Bretonneau, Tours, France,5CHU de Nantes, Nantes, France,6CHU Lariboisière, APHP, Paris, France,7CH Victor Dupouy, Argenteuil, France,8CHU François Mitterrand, Dijon, France,9Centre Hospitalier d’Angoulême, Angoulême, France,10CHR d’Orléans, Orléans, France,11Centre Hospitalier de Périgueux, Périgueux, France,12HEGP, AP-HP, Paris, France,13Centre hospitalier du Mans, Le Mans, France,14Centre hospitalier général, Brive la Gaillarde, France
P062 Withdrawn
P063 Clinical burden of inappropriate empirical antimicrobial therapy of in-hospital complicated intra-abdominal infections
S Carelli, T Taccheri, MS Vallecoccia, SL Cutuli, V Di Gravio, G De Pascale, M Antonelli
Fondaz. Policlinico A. Gemelli, Rome, Italy
P064 Prospective observational study evaluating antibiotic prescription pattern and microbial isolates and their correlation with hemodynamic stability in icu patients
M Bhattacharyya 1, A Saha2, T Chatterjee2, S Todi1
1AMRI Hospitals, Kolkata, India,2Jadavpur University, Kolkata, India
P065 The clinical significance of Candida score in critically ill patients with candida infection
H Al-Dorzi1, R Khan1, T Aldabbagh1, A Toledo1, S Al Johani1, A Almutairi2, S Khalil2, F Siddiqui2, Y Arabi3
1King Abdulaziz Medical City, Riyadh, Saudi Arabia,2MSD, Riyadh, Saudi Arabia,3King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
P066 Poor reliability of creatinine clearance estimates in predicting fluconazole exposure in liver transplant patients
M Lugano, P Cojutti, F Pea
ASUIUD, Udine, Italy
P067 Outcomes of a candidiasis screening protocol in a medical ICU
M Boujelbèn1, I Fathallah1, H Kallel1, D Sakis1, M Tobich1, S Habacha1, N Ben Salah1, M Bouchekoua2, S Trabelsi2, S Khaled2, N Kouraichi1
1Hôpital Régional Yasminette, Ben Arous, Tunisia, 2Hôpital Charles Nicolle, Tunis, Tunisia
Site/Candida species | Nasal | Oral | Axillary | Respiratory tract | Inguinal | Rectal | Urine | Chronic Wound | Total |
---|---|---|---|---|---|---|---|---|---|
C. albicans | 20 | 23 | 4 | 2 | 11 | 13 | 2 | 1 | 76 |
C. glabrata | 1 | 1 | 1 | 0 | 3 | 3 | 1 | 1 | 11 |
C. tropicalis | 1 | 2 | 0 | 2 | 0 | 1 | 1 | 0 | 7 |
C. krusei | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 4 |
C. famata | 0 | 3 | 0 | 0 | 1 | 2 | 0 | 0 | 6 |
C. parapsilosis | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 |
C. dubliniensis | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
C. lusitaniae | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 3 |
Unidentified Candida spp | 1 | 1 | 1 | 0 | 0 | 3 | 0 | 0 | 6 |
Total | 25 | 31 | 9 | 4 | 19 | 24 | 4 | 2 | 118 |
5-fluorocytosine | Amphotericin B | Fluconazole | Itraconazole | Voriconazole | |
---|---|---|---|---|---|
Susceptible n(%) | 47(92.1) | 48(94.7) | 46(90.2) | 44(86.3) | 48(94.7) |
Intermediate n(%) | 1(2.6) | 0(0) | 0(0) | 0(0) | 0(0) |
Resistant n(%) n(%) | 3(5.3) | 3(5.3) | 5(9.8) | 7(13.7) | 3(5.3) |
P068
P069 Invasive fungal infections (IFI) – harmonizing the guidelines for India
Y Mehta1, O Shrivastav2, K Bajan3, A Khurana4, A Qamra4
1Medanta The Medicity, Gurgaon, India,2Jaslok Hospital, Mumbai, India,3PD Hinduja Hospital, Mumbai, India,4Wockhardt, Mumbai, India
P070 Incidence of Trichosporon spp. urinary tract infections in ICU
E Belesiotou, C Routsi, C Vrettou, E Magira, E Douka, P Kaltsas, M Nepka, E Perivolioti, E Kraniotaki, S Zakinthinos
Evaggelismos General HOSPITAL, Athens, Greece
P071 Acinetobacter baumannii ventilator-associated pneumonia epidemiology, risk and prognosis factors
W Sellami, W Essmat, I Ben mrad, Z Hajjej, H Gharssallah, I Labbene, M Ferjani
Military Hospital, Tunis, Tunisia
P072 Single versus combination antibiotic therapy in the treatment of gram negative infections
S Chatterjee 1, A Bhakta1, J Basak2, S Todi1
1AMRI Hospitals, Kolkata, India,2Jadavpore University, Kolkata, India
P073 Pharmacokinetics of trimethoprim and sulfametrole in critically ill patients on continuous haemofiltration
R Welte1, J Hotter1, T Gasperetti1, R Beyer1, R Bellmann-Weiler1, S Eschertzhuber1, M Zaruba1, I Lorenz1, M Ströhle2, M Joannidis1, R Bellmann1
1Medical University of Innsbruck, Innsbruck, Austria,2General Hospital of Innsbruck, Innsbruck, Austria
P074 The positive impact of meropenem stewardship intervention at a Brazilian intensive care unit
W Freitas1, M Davi1, L Souza1, M Couto1, L Lourenço1, R Eiras1, H Primo1, J Páramo1, J Garcia1, M Alves2
1Hospital Casa de Portugal, Rio de Janeiro, Brazil,2Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil
P075 Colistin ‘MIC’ creep, a harbinger for resistance? Study for monitoring antimicrobial resistance trends (SMART) - South Africa 2015-2016
B Magazi, R Holl
MSD, Midrand, South Africa
P076 Ceftazidime/avibactam for treating severe infections in the critically ill due to carbapenemases producing Klebsiella pneumoniae
A Corona, A Veronese, S Antinori, S Santini, C Soru, M Corbellino, F Cantarero, E Catena
ASST Fatebenefratelli Sacco, PO SACCO - Milano, Milano, Italy
P077 Phage-based therapy against Acinetobacter baumannii lung infection in mice
SM Wienhold1, MC Brack1, C Rohde2, G Nouailles1, C Seitz3, A Ross3, H Ziehr3, K Dietert4, C Gurtner4, O Kershaw4, AD Gruber4, M Rohde5, N Suttorp1, M Witzenrath1
1Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany,2Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany,3Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM), Braunschweig, Germany,4Freie Universität Berlin, Berlin, Germany,5Helmholtz Centre for Infection Research, Braunschweig, Germany
P078 Efficacy of phage therapy against lethal methicillin resistant Staphylococcus aureus (MRSA) ventilator associated pneumonia in rats (VAP)
J Prazak1, P Reichlin2, D Grandgirard1, G Resch3, M Qiao1, S Nansoz1, Y Que1, M Haenggi1
1Inselspital, University Of Bern, Bern, Switzerland,2Medical School, University of Bern, Bern, Switzerland,3University of Lausanne, Lausanne, Switzerland
GROUP | cfu lung (log10 cfu/g tissue) | cfu spleen (log10 cfu/g tissue) | cfu blood (log10 cfu/ml blood) |
---|---|---|---|
antibiotic | 4.05 [3.58 - 5.03] n: 8 | 0 [0 - 1.81] n: 8 | 6.51 [0 - 44.64] n: 6 |
antibiotic + phages | 4.94 [4.31 - 6.91] n: 6 | 0 [0 - 0] n: 6 | 0 [0 - 0] n: 3 |
phages | 5.88 [3.84 - 7.01] n: 9 | 0 [0 - 3.52] n: 9 | 0 [0 – 41.76] n: 7 |
control | 4.26 [3.76 - 4.80] n: 5 | 4.51 [0 - 5.19] n: 5 | 34.77 [34.77 - 34.77] n: 2 |
P079 Influence of amikacin inhalation on the efficacy of ventilation-associated pneumonia and ventilation-associated tracheobronchitis treatment caused by multi-drug resistant gram-negative bacteria: comparative study
A Yaroshetskiy1, N Rezepov2, I Mandel3, V Khodak4, V Konanykhin3
1Pirogov Russian National Research Medical University, Moscow, Russia,2City Clinical Hospital 1 67, Moscow, Russia,3Sechenov University, Moscow, Russia,4City Hospital 135, Nigniy Novgorod, Russia
P080 Aerozolized colistin is an effective adjunct to systemic antibiotics in ventilator-associated pneumonia
A Kuzovlev, A Shabanov, A Goloubev, V Moroz, A Grechko
Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A. Negovsky research institute of general reanimatology, Moscow, Russia
P081 Factors associated with no de-escalation of empirical antimicrobial therapy in ICU settings with high rate of multi-drug resistant bacteria
C Routsi 1, K Arvaniti1, G Poulakou1, A Tourtoglou1, A Goufa1, A Vemvetsou1, A Kanavou1, E Hasou1, E Antoniadou1, C Nikolaou1, K Ntorlis1, S Kokkoris1, V Theodorou1, S Vasilliagkou2, H Giamarellou2
1National and Kapodistrian University of Athens, Athens, Greece,2Hellenic Society of Chemotherapy Study Group, Athens, Greece
P082 Corticosteroid treatment in patients with severe influenza pneumonia: a propensity score matching analysis.
G Moreno1, A Rodríguez1, LF Reyes2, J Sole-Violan3, E Díaz4, M Bodí1, S Trefler1, J Guardiola5, JC Yébenes6, A Soriano7, I Martín-Loeches8, MI Restrepo2
1Hospital Universitari Joan XXIII, Tarragona, Spain,2University of Texas Health at San Antonio, San Antonio, TX, USA, 3Hospital Dr. Negrín, Gran Canaria, Gran Canaria, Spain,4Hospital Parc Tauli, Sabadell, Spain,5University of Louisville and Robley Rex VA Medical Center, Louisville, Kentucky, USA,6Hospital de Mataró, Mataró, Spain,7Hospital Clinic, Barcelona, Spain,8Multidisciplinary Intensive Care Research Organization (MICRO). St James’s University Hospital. Trinity Centre for Health Sciences, Dublin, Ireland
P083 Tracheostomy dependence increases the risk of medical emergency team activation in pediatric patients
B McKelvie1, A Lobos2, J Chan2, F Momoli2, J McNally2
1London Health Sciences Centre - Children’s Hospital, London, Canada,2Children’s Hospital of Eastern Ontario, Ottawa, Canada
P084 qSOFA versus SIRS versus SOFA for predicting sepsis and adverse outcomes of patients in the intensive care unit. Preliminary report of Russian national study
M Astafeva1, V Rudnov1, V Kulabukhov2, V Bagin1
1City Clinical hospital №40, Yekaterinburg, Russia,2AV Vishnevsky Institute of Surgery, Moscow, Russia
P085 Detection of sepsis by qSOFA and SIRS in patients with infection in general wards
J Luo, W Jiang, L Weng, J Peng, X Hu, C Wang, G Liu, H Huang, B Du
Peking Union Medical College Hospital, Beijing, China
qSOFAmax | SIRSmax | SIRSmax | |
---|---|---|---|
Cutoff value | 2 | 2 | 3 |
Sensitivity, % (95% CI) | 53 (47-60) | 98 (95-99) | 86 (81-90) |
Specificity, % (95% CI) | 87 (81-91) | 18 (13-23) | 43 (36-51) |
Positive Predictive value, % (95% CI) | 84 (77-89) | 60 (55-65) | 66 (60-71) |
Negative Predictive value, % (95% CI) | 59 (53-65) | 86 (71-95) | 71 (61-79) |
Positive Likelihood ratio (95% CI) | 4.0 (2.7-5.9) | 1.2 (1.1-1.3) | 1.5 (1.3-1.7) |
Negative Likelihood ratio (95% CI) | 0.5 (0.5-0.6) | 0.1 (0.1-0.3) | 0.3 (0.2-0.5) |
P086 Prognostic accuracy of quick sequential organ failure assessment (qSOFA) score for mortality: systematic review and meta-analysis
B Brandao Barreto1, M Luz2, D Gusmao-Flores1
1Pós-graduação em Medicina e Saúde, Salvador, Brazil,2Hospital da Mulher, Salvador, Brazil
P087 Can early changes in SOFA score predict final outcome? An analysis of two cohorts
E Karakike1, I Tsangaris1, A Savva1, C Routsi1, K Leventogiannis1, M Tsilika1, V Apollonatou1, I Tomos1, JL Vincent2, EJ Giamarellos-Bourboulis1
1National and Kapodistrian University of Athens, Athens, Greece,2Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
Area Under the Curve (95% CI) | P vs day 2 | |
---|---|---|
Day 2 | 0.77 (0.72-0.81) | |
Day 3 | 0.77 (0.72-0.82) | 0.941 |
Day 5 | 0.80 (0.76-0.85) | 0.200 |
Day 7 | 0.84 (0.79-0.88) | 0.030 |
Day 14 | 0.87 (0.83-0.91) | 0.004 |
Day 28 | 0.90 (0.86-0.93) | <0.0001 |
P088 Delta SOFA scores for prediction of treatment outcome in sepsis and septic shock patients
T Lertwattanachai1, P Dilokpattanamongkol1, V Tangsujaritvijit2
1Faculty of Pharmacy, Mahidol University, Bangkok, Thailand,2Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
P089 Experience of having no set criteria for an outreach (rapid response) team in a new hospital
H Tan, J Teh, F Lee, G Soo, N Horsahamay, S Tan, Y Lee, F Khan
Ng Teng Fong General Hospital, Singapore, Singapore
P090 A novel model for early detection of patient deterioration in ICU
Y Lichter1, D Stavi1, U Keler2, IM Pessach3, H Artsi1, N Adi1, I Matot1
1Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel,2Intensix, Netanya, Israel,3Sheba Medical Center, Safra Children’s Hospital, Tel-Hashomer, Israel
P091 Detecting acute deterioration in hospital – the NEWS is not enough
T Buttle, P Parulekar, G Glover
Guys and St Thomas’ NHS Foundation Trust, London, UK
Diagnostic category | No (%) |
---|---|
Airway | 8 (25.8) |
Respiratory Failure | 7 (22.6) |
Cardiovascular (Arrhythmias/haemorrhage) | 6 (19.4) |
Acute Kidney Injury (inc. hyperkalaemia) | 8 (25.8) |
Neurological | 6 (19.4) |
Endocrine/Metabolic/Electrolytes (other) | 7 (22.6) |
Sepsis | 5 (16.1) |
P092 The impact of diurnal pattern of rapid response call activation on patients outcome
J Silvestre, N Candeias, A Ricardo, R Marques, F Brás, J Nunes
Hospital dos Lusiadas, Lisbon, Portugal
P093 Sepsis in medical and surgical patients: a 6 years retrospective study
G Zani, F Di Antonio, M Pichetti, A Garelli, C Gecele, F Menchise, M Valbonetti, S Mescolini, E Graziani, C Nencini, FD Baccarini, M Fusari
Santa Maria delle Croci Hospital, Ravenna, Italy
P094 The use of the medication based disease burden index and drug counts to quantify comorbidity during intensive care and to predict long term mortality
C McMechan1, M Booth2, J Kinsella1
1University of Glasgow, Glasgow, UK,2Glasgow Royal Infirmary, Glasgow, UK
P095 Adverse events among those admitted to the ICU: a retrospective cohort study using administrative data
KM Sauro, A Soo, HT Stelfox
University of Calgary, Calgary, Canada
P096 Clinical characteristics and outcomes of toxic epidermal necrolysis in a Tunisian tertiary critical care unit (icu)
I Ben Saida, W Zarrougui, E Ennouri, N Sma, N Fraj, S Kortli, N Fathallah, M Boussarsar
Farhat Hached Teaching hospital, Sousse, Tunisia
P097 D-dimer and the national early warning score: identifying medical patients at low risk of 30-day mortality in a Danish emergency department
H Lyngholm1, C Nickel2, J Kellett1, S Chang1, M Brabrand1
1Hospital of South West Jutland, Esbjerg, Denmark,2University Hospital Basel, Emergency Department, Basel, Switzerland
P098 Comparison of severity score models based on different sepsis definitions for predicting in-hospital mortality of sepsis patients in medical intensive care unit
T Songsangjinda, B Khwannimit
Prince of Songkla University, Hat Yai, Thailand
P099 Trends in infection and sepsis incidence and mortality in Germany
A Mikolajetz
Jena University Hospital, Jena, Germany
Infection in 2010 | Infection in 2015 | Infection and organ dysfunction in 2010 | Infection and organ dysfunction in 2015 | |
---|---|---|---|---|
Cases | 3,691,241 | 4,173,237 | 770,258 | 1,143,674 |
Incidence/100.000 (age- and sex-standardized) | 4,515 | 4,894 (mean annual increase +1.6%) | 942 | 1,315 (mean annual increase +7.0%) |
Deaths | 221,098 | 243,902 | 147,849 | 189,529 |
Mortality | 6.0% | 5.6% | 19.2% | 16.3% |
Discharge to hospice | 0.11% | 0.14% | 0.19% | 0.25% |
Discharge to nursing home | 3.56% | 4.41% | 5.03% | 6.62% |
Discharge to rehab | 2.79% | 2.33% | 4.51% | 3.65% |
Sepsis in 2010 | Sepsis in 2015 | Severe sepsis in 2010 | Severe sepsis in 2015 | |
---|---|---|---|---|
Cases | 229,214 | 320,198 | 87,973 | 136,542 |
Incidence/100.000 (age- and sex-standardized) | 280 | 371 (mean annual increase +5.8%) | 108 | 158 (mean annual increase +7.9%) |
Deaths | 61,068 | 75,227 | 42,084 | 56,875 |
Mortality | 26.6% | 23.1% | 47.8% | 41.2% |
Discharge to hospice | 0.17% | 0.23% | 0.12% | 0.19% |
Discharge to nursing home | 3.77% | 5.04% | 2.85% | 4.31% |
Discharge to rehab | 4.67% | 3.65% | 5.86% | 4.49% |
P100 Initial management of sepsis by day of the week in the north west of England
W Angus1, P Turton2, E Nsutebu2, C McGrath1
1Wirral University Teaching Hospital NHS Foundation Trust, Wirral, UK,2Royal Liverpool and Broadgreen University Hospitals NHS Trust, Liverpool, UK
P101 Weekend effect is not associated with delays in antibiotic administration in septic patients in the emergency department
R Passos, J Ramos, B Fahel, C Starteri, G Silva, M Manciola, M Barbosa, J Caldas, S Farias, M Teixeira, A Gobatto, M Ribeiro, P Batista
Hospital Sao Rafael, Salvador, Brazil
P102 Relationship between intensive care unit hypotension and morbidity in patients diagnosed with sepsis
K Maheswari1, M Stevens2, S Munson3, B Nathanson4, S Hwang3, A Khanna1
1Cleveland Clinic, Cleveland, OH, USA,2Edwards Lifesciences, Irvine, CA, USA,3Boston Strategic Partners, Inc., Boston, MA, USA,4OptiStatim, LLC, Longmeadow, MA, USA
P103 The role of hyperoxia in sepsis mortality
CV Cosgriff1, LA Celi2
1Harvard T.H. Chan School of Public Health, Boston, MA, USA,2Massachusetts Institute of Technology, Cambridge, MA, USA
P104 Treatment and outcomes of vasodilatory shock in an academic medical center
ND Nielsen 1, F Zeng2, ME Gerbasi3, G Oster3, A Grossman3, NI Shapiro4
1Tulane School of Medicine, New Orleans, LA, USA,2LaJolla Pharmaceutical Company, San Diego, CA, USA,3Policy Analysis Inc, Brookline, MA, USA,4Beth Israel Deaconess Medical Center, Boston, MA, USA
P105 Igm enriched immunoglobulins as adjunctive treatment to antimicrobial therapy for patient on septic shock
A Corona, A Veronese, C Soru, F Cantarero, S Santini, I Cigada, G Spagnolin, E Catena
ASST Fatebenefratelli Sacco, PO SACCO - Milano, Milano, Italy
P106 A phase 1b study of anti-PD-L1 (BMS-936559) in sepsis
RS Hotchkiss1, E Colston2, S Yende3, DC Angus4, LL Moldawer5, ED Crouser6, GS Martin7, CM Coopersmith8, S Brakenridge5, FB Mayr3, PK Park9, K Zhu2, M Wind-Rotolo2, T Duan2, J Ye2, Y Luo2, IM Catlett2, K Rana2, DM Grasela2
1Washington University School of Medicine, St Louis, MO, USA,2Bristol-Myers Squibb, Inc., Lawrenceville, NJ, & Wallingford, CT, USA,3Veterans Affairs Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, PA, USA,4University of Pittsburgh Critical Care Medicine CRISMA Laboratory, Pittsburgh, PA, USA,5University of Florida, Gainesville, FL, USA,6The Ohio State University, Columbus, OH, USA,7Dept. of Medicine, Division of Pulmonary, Allergy, Critical Care & Sleep Medicine, Emory University, Atlanta, GA, USA,8Dept. of Surgery, Emory University, Atlanta, GA, USA,9University of Michigan, Ann Arbor, MI, USA
P107 Effects of a non-neutralizing humanized monoclonal anti-adrenomedullin antibody in a porcine two-hit model of hemorrhage and septic shock
C Thiele1, TP Simon1, J Szymanski1, C Daniel2, C Golias1, J Struck3, G Marx1, T Schürholz4
1Uniklinik RWTH Aachen, Aachen, Germany,2Universität Erlangen-Nürnberg, Erlangen, Germany,3Adrenomed AG, Hennigsdorf, Germany,4Universitätsmedizin Rostock, Rostock, Germany
P108 Prognosis of patients excluded by the definition of septic shock based on their lactate levels after initial fluid resuscitation: a prospective multi-center observational study
B Ko1, W Kim2, T Lim1
1Hanyang University Hospital, Seoul, Korea, Seoul, South Korea,2University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea
Outcomes | Sepsis with restored perfusion (n=49) | Sepsis with restored perfusion (n=49) | p |
---|---|---|---|
28-day mortality | 4 (8.2%) | 111 (25.5%) | 0.02 |
In-hospital mortality | 6 (12.2%) | 131 (30.1%) | 0.03 |
SOFA score | 6.0 (4.0–8.0) | 7.0 (5.0–9.0) | 0.09 |
Max SOFA score | 9.0 (6.0–10.0) | 9.0 (7.0–12.0) | 0.03 |
APACHE II | 21.0 (15.0–26.0) | 21.0 (16.0–27.0) | 0.92 |
ICU stay (day) | 4.0 (3.0–5.3) | 5.0 (3.0–9.0) | 0.26 |
Hospital stay (day) | 12.0 (7.0–16.0) | 14.0 (7.0–26.0) | 0.26 |
P109 Apoptotic cells induce cytokine homeostasis following LPS treatment
D Mevorach
Hadassah-Hebrew University, Jerusalem, Israel
P110 Efficacy of continuous haemodiafiltration using a polymethylmethacrylate membrane haemofilter (PMMA-CHDF) in the treatment of sepsis and acute respiratory distress syndrome (ARDS)
M Sakai
12628 tomioka takeo-cho, Takeo, Japan
P111 The polymyxin b immobilized fiber column direct hemoperfusion has an effect for septic shock but has no effect on sepsis: a cohort study and propensity-matched analysis
K Hoshino1, H Ishikura1, Y Irie1, K Muranishi1, F Kiyomi1, M Hayakawa2, Y Kawano1, Y Nakamura1
1Fukuoka University Hospital, Fukuoka, Japan,2Hokkaido University Hospital, Sapporo, Japan
P112 A real world experience of novel extracorporeal cytokine adsorption therapy (Cytosorb) to manage sepsis and septic shock patients at tertiary care hospital in India
SK Garg, D Juneja, O Singh
Max Hospital, New Delhi, India
P113 Early cytokine adsorption in septic shock (ACESS-trial): results of a proof concept, pilot study
N Öveges1, F Hawchar1, I László1, M Forgács1, T Kiss1, P Hankovszky1, P Palágyi1, A Bebes1, B Gubán1, I Földesi1, Á Araczki1, M Telkes1, Z Ondrik1, Z Helyes2, Á Kemény2, Z Molnár1
1University of Szeged, Szeged, Hungary,2University of Pécs, Pécs, Hungary
P114 Usage pattern of polymyxin-b in clinical practice for critical care management in Indian patients: a multicentric prospective observational study
Y Mehta1, K Zirpe2, R Pande3, S Katare4, A Khurana4, S Motlekar4, A Qamra4, A Shah4
1Medanta The Medicity, Gurgaon, India,2Ruby Hall Clinic, Pune, India,3BLK Super Speciality Hospital, New Delhi, India,4Wockhardt Limited, Mumbai, India
System/s Involved | Percentage of cases |
---|---|
Pulmonary | 51.6 |
Neurological | 25.3 |
Cardio-vascular | 21.1 |
Abdominal | 18.9 |
Soft Tissue | 9.5 |
Renal | 6.3 |
Miscellaneous | 25.2 |
P115 Determinants & outcomes of polymyxin-b use: single center critical care experience, India
K Zirpe, A Deshmukh, S Patil
Ruby Hall Clinic, Pune, India
P116 Polymyxin b usage and outcomes: real world experience from an intensive care unit of tertiary care hospital in northern India
Y Mehta, C Mehta, S Nanda, J Chandel, J George
Medanta The Medicity, Gurgaon, India
Species | No. of cases (N = 73) | Percentage of cases |
---|---|---|
Klebsiella pneumoniae | 17 | 23.3 |
Acinetobacter baumannii | 4 | 5.5 |
Pseudomoas aeruginosa | 4 | 5.5 |
E.coli & Enterobactericae family | 6 | 8.2 |
Streptococcus | 2 | 2.7 |
Staphylococcus | 2 | 2.7 |
Miscellaneous or Pus cells (No isolation) | 6 | 8.2 |
P117 Effect of selective plasma exchange for treatment of patients with severe sepsis due to multiorgan failure
R Iscimen, P Rahimi, HZ Dundar, N Kelebek Girgin, F Kahveci
Uludag University, Bursa, Turkey
Age | 47.54±17.16 |
Sex | Male:35 Female:29 |
APACHE II score | 23.69±11.35 |
Hemodialysis | 28 |
SOFA score | Before | After | P Value |
---|---|---|---|
Renal | 0.82±2.25 | 0.56±0.80 | <0.001 |
Liver | 3.55±0.77 | 3.50±0.69 | <0.001 |
Coagulation | 1.43±1.36 | 1.34±1.22 | <0.001 |
Respiratory | 0.98 | 0.96 | <0.001 |
Cardiovascular | 1.33±1.88 | 1.28±1.77 | <0.001 |
P118 Troponin elevation in septic shock: a study of the prognosis
A Chaari, W Assar, K Abdelhakim, K Bousselmi, M El Koumy, V Kumar, V Kauts, M Al Ansari
King Hamad University Hospital, Bussaiteen, Bahrain
P119 Real time needle visualisation pericardiocentesis in acute traumatic pericardial tamponade
O Adi, A Azma Haryaty
Hospital Raja Permaisuri Bainun, Perak, Malaysia
P120 A novel method for early identification of cardiac tamponade in patients with continuous flow left ventricular assist devices by use of sublingual microcirculatory imaging
S Akin, C Ince, C Den Uil, A Struijs, R Muslem, I Ocak, G Guven, AA Constantinescu, OI Soliman, F Zijlstra, A J.J.C Bogers, K Caliskan
Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
P121 Survey on the use of cardiovascular drugs in shock (ucards) – inotropes
T Kaufmann1, I Van der Horst1, JL Teboul2, T Scheeren1
1University Medical Centre Groningen, Groningen, Netherlands,2Hôpitaux Universitaires Paris-Sud, Paris, France
P122 Thermoshock: thermography assessment of thermal patterns in patients with shock: preliminary results
M Tosi1, A Andreotti1, M Girardis1, F Despini2, A Muscio2, P Tartarini2
1University Hospital of Modena, Modena, Italy,2University of Modena, Modena, Italy
P123 Regional differences in the treatment of refractory septic shock – an analysis of the ATHOS-3 data
M Abril1, A Khanna2, C McNamara2, D Handisides3, L Busse4
1Emory University, Atlanta, GA, USA,2Cleveland Clinic, Cleveland, OH, USA,3La Jolla Phapmaceutical Company, La Jolla, CA, USA,4Emory St. Joseph’s Hospital, Atlanta, GA, USA
P124 Association of angiotensin II dose with all-cause mortality in patients with vasodilatory shock
M McCurdy1, LW Busse2, MN Gong3, DW Boldt4, SN Chock5, R Favory6, KR Ham7, K Krell8, XS Wang9, LS Chawla10, GF Tidmarsh10
1University of Maryland, School of Medicine, Baltimore, MD, USA,2Emory University, Atlanta, GA, USA,3Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA,4University of California, Los Angeles, Los Angeles, CA, USA,5Sunrise Hospital, Las Vegas, NV, USA,6CHU Lille, Critical Care Center and University of Lille School of Medicine, Lille, France,7Regions Hospital, University of Minnesota, St. Paul, MN, USA,8Eastern Idaho Regional Medical Center, Idaho Falls, ID, USA,9Duke University Medical Center, Durham, NC, USA,10La Jolla Pharmaceutical Company, San Diego, CA, USA
P125 Outcomes in patients with acute respiratory distress syndrome receiving angiotensin II for vasodilatory shock
L Busse1, T Albertson2, M Gong3, BT Thompson4, R Wunderink5, D Handisides6, G Tidmarsh6, L Chawla6
1Emory St. Joseph’s Hospital, Atlanta, GA, USA,2University of California, Davis, Davis, CA, USA,3Montefiore Medical Center, Bronx, NY, USA,4Harvard Medical School, Boston, MA, USA,5Northwestern University, Feinberg School of Medicine, Chicago, IL, USA,6La Jolla Pharmaceutical Company, San Diego, CA, USA
ARDS Category | Placebo | Angiotensin II |
---|---|---|
Mild | 53 (40 - 67) | 42 (30-56) |
Moderate | 55 (42 - 69) | 55 (42-69) |
Severe | 74 (53 - 90) | 50 (30-74) |
P126 Perioperative use of levosimendan: harmful or beneficious?
F Guarracino1, S Bouchet2, M Heringlake3, P Pollesello4
1Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy,2University Hospital, Ghent, Ghent, Belgium,3Universitätsklinikum Schleswig-Holstein, Lübeck, Germany,4Orion Pharma R&D, Espoo, Finland
P127 Effects of levosimendan on weaning from mechanical ventilation of patients with left ventricular dysfunction
I Kaltsi, C Gratsiou, S Nanas, C Routsi
National and Kapodistrian University of Athens, Athens, Greece
P128 Levosimendan for weaning veno-arterial ECMO (VA ECMO)
G Haffner, G Ajob, M Cristinar, S Marguerite, W Oulehri, B Heger, M Kindo, PM Mertes, A Steib
Hôpitaux Universitaires, Strasbourg, France
P129 Renal outcomes of vasopressin and its analogues in distributive shock: a systematic review and meta-analysis of randomized trials
T Rech, W Nedel, J Pellegrini, R Moraes
Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
P130 The effect of norepinephrine on venous return during VA-ECMO
A Hana1, PW Moller2, PP Heinisch1, J Takala1, D Berger1
1Inselspital, Bern University Hospital, Bern, Switzerland,2Institute of Clinical Sciences at the Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
MSFP; mmHg | Max. QECMO; mL/min | Max. pressure head; mmHg | Hemoglobin; g/L | |
---|---|---|---|---|
Euvolemia | 7.1 ± 1.1 | 4376 ± 887 | 93 ± 27 | 94 ± 6 |
NE 1 | 6.7 ± 0.6 | 4369 ± 802 | 102 ± 21 | 100 ± 7 |
NE 2 | 7.4 ± 1.0 | 4670 ± 746 | 114 ± 36 | 106 ± 7 |
NE 3 | 7.9 ± 0.6 | 4967 ± 977 | 107 ± 37 | 108 ± 7 |
p value (RM ANOVA) | 0.021 | 0.012 | 0.056 | <0.001 |
P131 Predictive value of right heart hemodynamics for acute kidney injury after heart transplantation
G Guven, M Brankovic, AA Constantinescu, JJ Brugts, DA Hesselink, S Akin, A Struijs, O Birim, C Ince, OC Manintveld, K Caliskan
Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
P132 Haemorrhage versus sepsis in maternity HDU
A Taylor, S Stevenson, J Gardner, K Lake, K Litchfield
Princess Royal Maternity Unit, Glasgow Royal Infirmary, Glasgow, UK
Haemorrhage | Sepsis | P value | |
---|---|---|---|
Number of patients | 151 | 108 | |
Mean length of stay (unit days) | 0.91 Median 0.6 SD 0.88 | 1.38 Median 0.9 SD 1.29 | |
Arterial line | 50 (33%) | 23 (21%) | 0.038 |
Central line | 9 (5.9%) | 8 (7%) | 0.65 |
CVS instability | 63 (41.7%) | 21 (19.4%) | <0.01 |
Single vasoactive drug | 9 (5.9%) | 3 (2.7%) | 0.23 |
Baby with mum if postpartum | 115 (84%) | 44 (62%) | <0.01 |
P133 Real-time guidance or prelocation using ultrasound for pediatric central venous catheterization; a systematic review and network meta-analysis
K Hosokawa, N Shime, M Kyo, Y Iwasaki, Y Kida
Hiroshima University Hospital, Hiroshima, Japan
P134 A beriberi bad heart - a case report
M Charalambos, A Revill, D Howland
Torbay Hospital, Torquay, UK
P135 Wells score is not a reliable predictor of the risk of pulmonary embolism in critically ill patients: a retrospective cohort study
T Rech, A Girardi, R Bertiol, M Gazzana
Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
P136 Acute kidney injury in cardiogenic shock syndrome: prevalence and outcome
C Facciorusso, M Bottiroli, A Calini, D De Caria, S Nonini, R Pinciroli, F Milazzo, M Gagliardone
ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
NON AKI | AKI | |
---|---|---|
AGE y | 43 (29-62) | 49 (37-63) |
SOFA | 8 (7-10) | 11 (8-13) |
MAP mmHg | 66 (58-78) | 67 (56-74) |
LACTATE* mmol | 2.1(0.8-4) | 4.8(1.9-9) |
INOTROPIC SCORE | 10 (6-15) | 18 (11-26) |
CREATININE* mg/dl | 0.8 (0.7-1.3) | 1.9 (1.4-2.8) |
LVEF % | 20 (15-28) | 20 (15-25) |
P137 Takotsubo syndrome in critically ill patients
A Shilova, M Gilyarov, E Gilyarova, A Nesterov, A Svet
Moscow City Hospital #1 n.a. N. Pirogoff, Moscow, Russia
P138 Institutional case-volume and in-hospital mortality after orthotopic heart transplantation: a nationwide study between 2007 and 2016 in Korea
S Choi1, E Jang2, K Nam1, G Kim3, H Ryu1
1Seoul National University College of Medicine, Seoul, South Korea, 2Andong National University, Andong, South Korea, 3Kyungpook National University, Daegu, South Korea
P139 Intensive care unit readmission following left ventricular assist device implantation: causes, associated factors, and association with patient mortality
J Hui1, W Mauermann1, J Stulak2, A Hanson3, S Maltais2, D Barbara1
1Department of Anesthesiology and Perioperative Medicine, Rochester, USA; 2Department of Cardiovascular Surgery, Rochester, USA; 3Department of Biostatistics, Rochester, USA
P140 Atrial fibrillation and infection among acute patients in the emergency department: a multicentre cohort study of prevalence and prognosis
T Graversgaard
Odense University Hospital, Odense, Denmark
P141 Effect of positive end expiratory pressure on left ventricular contractility
M Gruebler, O Wigger, S Bloechlinger, D Berger
Inselspital, University Hospital Bern, Bern, Switzerland
P142 Biventricular 3D volumetric analysis with transthoracic echocardiography in the critically ill
S Orde1, M Slama2, N Stanley3, SJ Huang4, AS Mclean4
1ICU, Sydney, NSW, Australia; 2Amiens University Hospital, Amiens, France; 3Midland Hospital, Perth, Australia; 4Nepean Hospital, Sydney, Australia
Parameter | Feasibility, n(%) | Stroke volume, Median (IQR) | Bias, mean difference (ml) | 95% Confidence Interval |
---|---|---|---|---|
Doppler | 92 (100%) | 54 (43-64) | - | - |
2D Simpson’s biplane | 78 (85%) | 52.2 (40-65) | -0.17 | -2.9 to 2.5 |
3D LV | 66 (72%) | 49.5 (35-59) | -2.6 | -5.5 to 0.2 |
3D RV | 51 (55%) | 43 (33-58) | -4.1 | -9 to 0.9 |
P143 Determinants of venous return during trendelenburg position and effect of hepatic vascular waterfall
S Liu1, P Moller2, A Kohler1, G Beldi1, D Obrist3, A Hana1, D Berger1, J Takala1, S Jakob1
1Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; 2Institute of Clinical Sciences at the Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden; 3University of Bern, Bern, Switzerland
Parameters | Supine (n=13) | Trendelenburg (n=13) | P value (Paired t test) |
---|---|---|---|
RAP mmHg | 7.8 ± 2.5 | 10.4 ± 3.3 | <0.001 |
HVP mmHg | 9.0 ± 2.2 | 11.4 ± 3.2 | <0.001 |
PVP mmHg | 10.3 ± 1.8 | 12.8 ± 2.7 | <0.002 |
Qpv L/min | 1.14 ± 0.17 | 1.12 ± 0.24 | 0.661 |
Qha L/min | 0.13 ± 0.07 | 0.16 ± 0.08 | 0.007 |
Qivc L/min | 1.91 ± 0.43 | 1.75 ± 0.54 | 0.055 |
Qsma L/min | 0.83 ± 0.25 | 0.81 ± 0.22 | 0.636 |
Parameters | Body position | Expiration | Inspiration 30 | AWP effect/interaction of AWP and group |
---|---|---|---|---|
Qpv | Supine (n=12) / Trendelenburg (n=12) | 1.19 ± 0.13 / 1.14 ± 0.24 | 0.75 ± 0.11 / 0.89 ± 0.19 | 0.000 / 0.002 |
Qsma | Supine (n=12) / Trendelenburg (n=12) | 0.83 ± 0.25 / 0.81 ± 0.23 | 0.56 ± 0.16 / 0.65 ± 0.20 | 0.000 / 0.203 |
Qha | Supine (n=12) / Trendelenburg (n=12) | 0.13 ± 0.07 / 0.15 ± 0.09 | 0.07 ± 0.03 / 0.09 ± 0.04 | 0.001 / 0.849 |
Qivc | Supine (n=12) / Trendelenburg (n=12) | 2.01 ± 0.38 / 1.78 ± 0.56 | 1.22 ± 0.25 / 1.33 ± 0.38 | 0.000 / 0.414 |
Qca | Supine (n=12) / Trendelenburg (n=12) | 0.22 ± 0.07 / 0.25 ± 0.09 | 0.14 ± 0.04 / 0.17 ± 0.06 | 0.000 / 0.362 |
Qpv-Qsma | Supine (n=12) / Trendelenburg (n=12) | 0.36 ± 0.33 / 0.31 ± 0.35 | 0.18 ± 0.23 / 0.23 ± 0.29 | 0.000 / 0.043 |
P144 Link between bioelectrical impedance analysis derived phase angle and late mortality in cardiac surgery patients
D Ringaitiene, D Grazulyte, D Zokaityte, L Puodziukaite, V Vicka, J Sipylaite
Department of Anesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
P145 Screening ultrasound compression testing in critically ill patients performed by general nurses - validation study
R Skulec1, A Kohlova2, L Miksova1, J Benes1, V Cerny1
1Masaryk Hospital Usti nad Labem, JEP University, Usti nad Labem, Czech Republic; 2J.E. Purkinje University, Usti nad Labem, Czech Republic
P146 Effect of cytoadsorbant device on coagulation factors during cardio-pulmonary bypass
E Poli, L Alberio, A Bauer-Doerries, C Marcucci, A Roumy, M Kirsch, E De Stefano, C Gerschheimer, L Liaudet, A Schneider
Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
P147 Changes in microvascular perfusion during blood purification with cytosorb in septic shock
S Zuccari, V Monaldi, S Vannicola, R Castagnani, A Damia Paciarini, A Donati
Università Politecnica delle Marche, Ancona, Italy
P148 Renal replacement therapy with the OXIRIS filter decreases inflammatory mediators and improves cardiorenal function in septic patients better then CVHDF.A cohort study and a propensity–matched analysis
F Turani 1, S Busatti1, S Martini1, M Falco2, F Gargano2, R Barchetta2, L Weltert2, F Leonardis3
1Aurelia Hospital, Rome, Italy; 2European Hospital, Rome, Italy; 3University of Tor Vergata, Rome, Italy
P149 ADVOS reduces liver and kidney disease markers and corrects acidosis: the Hamburg experience
VH Fuhrmann, D Jarczak, O Boenisch, S Kluge
University Medical Center Hamburg-Eppendorf, Hamburg, Germany
P150 Score for timely prescribing (STOP) renal replacement therapy in intensive care unit - preliminary study of a mneumonic approach
E Leal Bastos de Moura, A Alves de Sousa, F Ferreira Amorim, J Rodrigues Trindade Jr, M De Oliveira Maia
Hospital Santa Luzia Rede D’Or São Luiz, Brasília, Brazil
P151 Intraoperative continuous renal replacement therapy in liver transplantation: a pilot randomized controlled trial (INCEPTION study)
C Karvellas, S Taylor, T Ozelzel, E Bishop, D Cave, D Bigam, S Bagshaw
University of Alberta, Edmonton, Canada
P152 The uptake of citrate anticoagulation for continuous renal replacement therapy in intensive care units across the United Kingdom
A Soni, M Borthwick
Oxford University Hospitals NHS Foundation Trust, Oxford, UK
P153 Is vasopressor/inotrope requirement effected by ultrafiltrate volume and 24 hour fluid balance in intensive care patients undergoing acute renal replacement therapy?
A Lal1, M Shaw2, A Puxty1
1Glasgow Royal Infirmary, Glasgow, UK; 2University of Glasgow, Glasgow, UK
P154 Hemostatis parameter changes induced by filter change in infants on continuous renal replacement therapy
A Akcan Arikan, PR Srivaths, N Tufan Pekkucuksen, JR Angelo, TM Mottes, MC Braun
Baylor College of Medicine, Houston, TX, USA
P155 Intensive monitoring of post filter ionized calcium concentrations during CVVHD with regional citrate anticoagulation: is it still required?
D Khadzhynov, F Halleck, O Staeck, L Lehner, T Slowinski
Charite Universitaetsmedizin, Berlin, Germany
P156
P157 Association of pain in the critically ill patient with acute kidney injury risk in the intensive care unit (ICU)
JM Vieira Junior, LB Herranz, LC Pontes de Azevedo, I Castro
Hospital Sírio Libanês, Sao Paulo, Brazil
P158 Incidence and outcomes of acute kidney injury in 3 large inner city hospitals
S Channon1, B Girling1, B Trivedi2, S DeFreitas2, C Kirwan2, J Prowle1
1Queen Mary University, London, UK; 2Barts Health NHS Trust, London, UK
All | All AKI | No AKI | AKI-1 | AKI-2 | AKI-3 | p AKI vs No AKI | |
---|---|---|---|---|---|---|---|
Number | 18987 | 3145 | 15842 | 2087 | 566 | 492 | - |
Mortality (%) | 4.6 | 15.9 | 2.4 | 12.6 | 20.8 | 24.2 | p<0.001 |
Age (median) | 65 | 70 | 63 | 70 | 69 | 69 | p<0.001 |
Medical (%) | 65.1 | 69.1 | 64.3 | 68.3 | 69.8 | 71.5 | p<0.001 |
Sepsis (%) | 7.2 | 8.7 | 6.9 | 9.0 | 7.8 | 8.3 | p<0.001 |
P159 Loop diuretics to treat acute kidney injury in critically ill patients: a systematic review and meta-analysis
K Rosas1, D Gutierrez2
1Hospital Espanol de Mexico, Ciudad de Mexico, Mexico; 2Hospital Angeles Acoxpa, Ciudad de Mexico, Mexico
P160 Alterations in portal vein flow and intra-renal venous flow are associated with acute kidney injury after cardiac surgery: a prospective cohort study
W Beaubien-Souligny1, A Benkreira1, P Robillard1, Y Lamarche1, J Bouchard2, A Denault1
1Montreal Heart Institute, Montréal, Canada; 2Hôpital Sacré-Coeur, Montréal, Canada
Echographic markers | N (%) of AKI | OR (CI) p-value | Adjusted OR* (CI) p-value |
---|---|---|---|
Normal portal flow (PF<50%) | 23/122 (18.9%) | 1.0 | 1.0 |
Portal pulsatility (PF>=50%) | 12/21 (57.1%) | 5.7 (2.2-15.2)<0.01 | 3.7 (1.3-10.5) 0.02 |
Renal pattern 1 | 17/97 (17.5%) | 1.0 | 1.0 |
Renal pattern 2 | 6/23 (26.1%) | 1.7 (0.6-4.8) 0.35 | 1.4 (0.5-4.3) 0.54 |
Renal pattern 3 | 11/18 (61.1%) | 7.4 (2.5-21.8)<0.01 | 4.8 (1.5-15.8) 0.01 |
Portal flow pulsatility (PF>50%) | Renal pattern 2 | Renal pattern 3 | |
---|---|---|---|
OR (CI) p | OR (CI) p | OR (CI) p | |
NT-pro-BNP (per 1 log increase) | 10.7 (4.1-27.4) <0.01 | 6.9 (2.8-17.1) <0.01 | 10.4 (3.9-27.9) <0.01 |
Inferior vena cava diameter (per cm increase) | 1.8 (1.1-2.9) 0.02 | 2.1 (1.4-3.2) <0.01 | 2.0 (1.4-2.9) <0.01 |
Perfusion pressure (DBP-CVP) (per 10 mmHg) | 0.6 (0.4-0.9) 0.01 | 0.7 (0.5-1.0) <0.02 | 0.5 (0.3-0.8) <0.02 |
Cumulative fluid balance (per 1L increase) | 1.3 (1.1-1.5) <0.01 | 1.1 (0.9-1.2) 0.34 | 1.1 (0.9-1.3) 0.34 |
P161 A clinical prediction model for severe AKI after pediatric cardiac surgery
I Scharlaeken1, M Flechet2, D Vlasselaers1, L Desmet1, G Van den Berghe1, F Güiza2, G Meyfroidt1
1University Hospitals Leuven, Leuven, Belgium; 2KU Leuven, Leuven, Belgium
P162 Renal perfusion, function and oxygenation in early clinical septic shock
J Skytte Larsson, V Krumbholz, A Enskog, G Bragadottir, B Redfors, S Ricksten
Institution for clinical sciences, Göteborg, Sweden
Control group (n=58) | Septic shock (n=8) | p-value | |
---|---|---|---|
Renal oxygen extraction | 0.097 ± 0.027 | 0.124 ± 0.039 | 0.022 |
Renal blood flow (ml/min) | 858 ± 26 | 696 ± 166 | 0.068 |
Renal vascular resistance (mmHg/ml/min) | 0.082 ± 0.023 | 0.098 ± 0.023 | 0.069 |
Glomerular filtration rate (ml/min) | 79.8 ± 24.3 | 54.4 ± 17.6 | 0.006 |
Renal blood flow/cardiac index | 0.31 ± 0.79 | 0.22 ± 0.67 | 0.003 |
Renal oxygen delivery (ml/min) | 122.3 ± 42.4 | 92.7 ± 23.5 | 0.037 |
Renal oxygen consumption (ml/min) | 11.4 ± 3.1 | 11.4 ± 4.0 | 0.956 |
P163 Utility of daily creatine kinase measurement within adult intensive care
P Henderson1, J Adams2, A Blunsum1, M Casey3, N Killeen1, S Linnen1, J McKechnie3, A Puxty1
1Glasgow Royal Infirmary, Glasgow, UK; 2Royal Alexandra Hospital, Paisley, UK; 3Queen Elizabeth University Hospital, Glasgow, UK
Action Taken | Number of patients (%) |
---|---|
Discontinuation of drugs | 3 (1.1) |
Fluid resuscitation/forced diuresis | 54 (19.6) |
Renal replacement therapy | 25 (9.1) |
Surgery | 6 (2.2) |
Diagnostic imaging | 7 (2.5) |
No action taken | 181 (65.5) |
Total | 276 (100) |
P164 Creatinine-based formula (MDRD) versus cystatin c-based formula (simple cystatin c formula) for estimation of GFR in critically ill patients
R Marinho1, T Neves2, M Santos3, A Marinho1
1Centro Hospitalar do Porto, Porto, Portugal; 2Instituto de Ciencias Biomedicas Abel Salazar – Universidade do Porto, Porto, Portugal; 3Faculdade de Ciencias da Nutricao e Alimentacao da Universidade do Porto, Porto, Portugal
P165 Perioperative chloride levels and acute kidney injury after liver transplantation: a retrospective observational study
S Choi1, C Jung1, H Lee1, S Yoo1, H Ryu1, H Jang2
1Seoul National University College of Medicine, Seoul, South Korea; 2Samsung Medical Center, Sungkyunkwan University College of Medicine, Seoul, South Korea
P166 Urinary strong ion difference as an early marker of acute kidney injury in septic patients
M Cicetti, A Dell’anna, C Dominedò, A Ionescu, C Sonnino, E Tarascio, I Barattucci, SL Cutuli, M Antonelli
Fondazione Policlinico A. Gemelli Università Cattolica Sacro Cuore, Rome, Italy
AKIyes (19) | AKIno (36) | P | |
---|---|---|---|
Age (years) | 59±16 | 57±17 | ns |
SAPS II | 41[31-50] | 37.5[27.5-44.5] | ns |
SOFA score | 5[3-7] | 5[3.5-8] | ns |
IN (mL) | 3189[2474-3751] | 3202[2725-3615] | ns |
OUT (mL) | 1955[1381-2421] | 2765[2215-3600] | 0.007 |
Urine Output (mL) | 1890[1381-2081] | 2735[2075-3462] | 0.0017 |
Balance (mL) | 885[162-1623] | 191[-653-1425] | 0.0505 |
AKIyes (19) | AKIno (36) | P | |
---|---|---|---|
pH | 7.43[7.39-7.49] | 7.43[7.40-7.46] | ns |
Na+(mmol/L) | 142±6 | 143±5 | ns |
Cl- (mmol/L) | 105±5 | 106±4 | ns |
SIDa(mmol/L) | 38.3±4 | 39±4 | ns |
Na+u (mmol/L) | 36.5[13-76 | 91[51-139] | 0.006 |
Cl-u (mmol/L) | 51[33-70] | 110[66-170] | 0.047 |
SIDu (mmol/L) | 11[-2-29] | 14[1-42] | ns |
P167 Urinary electrolytes as early indicators of acute kidney injury after major abdominal surgery
D Marouli, E Papadakis, P Sirogianni, G Papadopoulos, E Lilitsis, E Pediaditis, A Papaioannou, D Georgopoulos, H Askitopoulou
University Hospital Heraklion, Heraklion, Greece
P168 Urinary liver-type fatty acid-binding protein is the novel biomarker for diagnosis of acute kidney injury secondary to sepsis
T Komuro, T Ota
Shonan Kamakura General Hospital, Kamakura, Kanagawa, Japan
P169 Vitamin D metabolite concentrations in critically ill patients with acute kidney injury
L Cameron, U Blanco Alonso, A Bociek, A Kelly, G Hampson, M Ostermann
Guy’s and St Thomas’ NHS Foundation Trust, London, UK
P170 Effects of fenoldopam on renal function in critically ill patients undergoing a strictly conservative strategy of fluid management
S Tribuzi, LP Bucci, C Scaramucci, V Vano, A Naccarato, M Mercieri
Sant’Andrea, Rome, Italy
P171 Dysphagia triage protocol as a tool in the intensive care risk management
CE Bosso1, PC Dutil Ribeiro2, M Valerio2, O Alves de Souza2, A Pireneus Cardoso1, RD Jorge Caetano3, L De Oliveira3, BR Correa3, F Fernandes Lanziani3
1Instituto do Coração de Presidente Prudente, Presidente Prudente, Brazil; 2UNOESTE, Presidente Prudente, Brazil; 3Santa Casa de Misericórdia de Presidente Prudente, Presidente Prudente, Brazil
P172 Apnea oxygenation : a novel respiratory system model for physiological studies using high-flow nasal cannula oxygen therapy
V Masy, B Bihin, J Petit
CHU UCL Namur - Godinne, Yvoir, Belgium
P173 Effect of 4% nebulized lignocaine versus 2% nebulized lignocaine for awake fibreoptic nasotracheal intubation in maxillofacial injuries in emergency department
H Abbas, L Kumar
King George’s Medical University,Lucknow,India, Lucknow, India
1 | No reaction | 1 |
2 | Slight grimacing | 2 |
3 | Heavy grimacing | 3 |
4 | Verbal objection | 4 |
5 | Defensive movements of head and hands | 5 |
P174 Video laryngoscopy versus direct laryngoscopy for emergency orotracheal intubation outside the operating room - a systematic review and meta-analysis
V Bennett1, N Arulkumaran2, J Lowe3, R Ions4, M Mendoza Ruano5, M Dunser6
1St George’s Hospital, London, UK; 2University College London, London, UK; 3Arrowe Park Hospital, Merseyside, UK; 4Musgrove Park Hospital, Taunton, UK; 5Hospital Universitario y Politecnico La Fe, Valencia, Spain; 6Innsbruck Medical University, Innsbruck, Austria
P175 Compared success rate between direct laryngoscope and video laryngoscope for emergency intubation, in Emergency Department: Randomized Control Trial
P Sanguanwit, N Laowattana
Ramathibodi Hospital, Bangkok, Thailand
P176 10-year cohort of prehospital intubations and rescue airway techniques by helicopter emergency medical service physicians: a retrospective database study
P De Jong, C Slagt, N Hoogerwerf
Radboudumc, Nijmegen, Netherlands
Number of patients (%) | |
---|---|
I | 1632 (64.0) |
II | 644 (25.3) |
III | 218 (8.6) |
IV | 57 (2.2) |
Unknown | 681 (21.1) |
Number of patients (%) | |
---|---|
1 | 1960 (70.3) |
2 | 630 (22.6) |
3 | 160 (5.7) |
>3 | 40 (1.4) |
Unknown | 443 (13.7) |
P177 Identification of factors associated with event occurrence due to unsafe management of endotracheal tubes
E Ishida1, K Kobayashi1, Y Kobayashi1, Y Shiraishi1, M Yamamoto1, T Kuroda1, Y Iesaki1, Y Tsutsumi1, R Hosoya1, H Yasuda2
1Japanese Red Cross Musashino Hospital, Tokyo, Japan; 2Kameda Medical Center, Chiba, Japan
P178 Critical care extubation in Type II respiratory failure with nasal high flow therapy
R D’Espiney, J Martin-Lazaro, M Brys, J Grundlingh, J Napier
Newham University Hospital, London, UK
P179 High flow nasal oxygen in critical care: an audit of practice and outcome
T Tasnim1, A Kuravi2
1University Hospital Birmingham, Birmingham, UK; 2Walsall Manor Hospital, Walsall, UK
P180 Infusion of antiseptic in an oral model. An innovative technique for possible prevention of ventilator associated pneumonia
A Omar, F Teunissen, S Aboulnaga, S Hanoura, S Doiphode, A Alkhulaifi
Hamad medical corporation, Doha, Qatar
P181 Non invasive measurement of particle flow from the small airways using PExA in vivo and during ex vivo lung perfusion in DCD donation
E. Broberg, L. Pierre, M. Wlosinska, L. Algotsson, S. Lindstedt
Skane University Hospital, Lund, Sweden
P183 Incentive to better practices in non-invasive ventilation
N Matsud, G Correa, D Tucunduva, L Silva, V Veiga, T Alvarisa, N Postalli, P Travasos, R Vale, S Rojas
Hospital BP - A Beneficência Portuguêsa de São Paulo, São Paulo, Brazil
P184 Can non-invasive ventilation change the result of malaria with pulmonary dysfunction?
A Costa e Silva, R Barbara, L Figueirôa
Clínica Multiperfil, Luanda, Angola
Outcomes | Number of patients* | Days of hospitalization* | Days of NIV* | Time of NIV (minutes)* |
---|---|---|---|---|
NIV/Intubation/Death | 2 | 11 | 1 | 75 |
NIV/Discharge | 20 | 9.8 | 3.9 | 57.3 |
Intubation/NIV/Dischargeb | 1 | 23 | 7 | 60 |
NIV/Intubation/NIV/Discharge | 8 | 16.1 | 5.1 | 75 |
P185 Factors predicting postoperative noninvasive ventilation failure in a tertiary care university hospital: a retrospective study
S Chatmongkolchart, B Choochot
Faculty of Medicine, Prince of Songkla University, Songkla, Thailand
Predicting factor | Adjusted OR (95% CI) | P-value (Wald’s test) |
---|---|---|
Smoking | 3.24 (1.63,6.44) | <0.001 |
Functional status: Independent vs Dependent | 2.05 (1.05,4.03) | 0.036 |
ASA status: 4-5 vs 2-3 | 2.72 (1.36,5.46) | 0.005 |
Intracranial surgery | 2.66 (1.19,5.96) | 0.017 |
P186 Noninvasive ventilation (NIV) failure in critically ill patients with COPD and influenza infection: risk factors and outcomes
C Domínguez-Curell1, A Rodríguez1, L Reyes2, M Bodi1, A Esteban3, F Gordo3, I Martín-Loeches3, J Solé-Violán4, E Díaz5, A Anzueto2, M Restrepo2
1Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain; 2University of Texas Health Science Center at San Antonio and South Texas Veterans Health Care System, San Antonio, Texas, USA; 3Multidisciplinary Intensive Care Research Organization (MICRO), St.James’s University Hospital, Trinity Centre for Health Science, Dublin, Ireland; 4Hospital Dr. Negrín, Gran Canaria, Las Palmas, Spain; 5Hospital Parc Tauli, CIBERES, Sabadell, Spain
P187 Non-invasive ventilation and oxygen therapy after extubation in patients with acute respiratory failure: a meta-analysis of randomized controlled trials
S Bhattacharjee, S Maitra
All India Institute of Medical Sciences, New Delhi, New Delhi, India
P188 A randomized comparative study of helmet CPAP versus facemask CPAP in acute respiratory failure (ARF)
O Adi, S Salleh
Raja Permaisuri Bainun Hospital, Ipoh, Perak, Malaysia
P189 Effects of varying ventilatory parameters on FiO2 delivery of a boussignac CPAP in a mechanical model of acute respiratory distress
M Bibombe1, A Penaloza Baeza2, G Liistro2, N Delvau2
1Université Catholique de Louvain, Brussels, Belgium; 2Cliniques Universitaires St-Luc, Université Catholique de Louvain, Brussels, Belgium
P190 Recurrent respiratory deterioration events during intensive care unit stay and mortality among mechanical ventilated patients
D Stavi1, Y Lichter1, H Artsi1, U Keler2, AM Lipsky3, N Adi1, I Matot1
1Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; 2Intensix, Netanya, Israel; 3Rambam Health Care Campus, Haifa, Israel
No. of Deteriorations | No. of Patients | Age – mean (+/-SD) | ICU mortality (%) | Median LOS days (interquartile range) |
---|---|---|---|---|
0 | 3890 | 59.4 (20.6) | 385 (9.9) | 2.2 (0.8-5.1) |
1 | 764 | 59.2 (19.4) | 226 (29.6) | 7.4 (3.3-13.3) |
2 | 328 | 58.6 (19.1) | 122 (37.2) | 10.6 (5.5-16.7) |
3 | 166 | 60.1 (17.2) | 60 (36.1) | 15.4 (8.9-22.6) |
>=4 | 228 | 56.4 (19.3) | 94 (41.2) | 21.3 (13.9-30.6) |
P191 Association of lung ultrasound score with mortality in mechanically ventilated patients
J Taculod, JT Sahagun, Y Tan, V Ong, K See
National University Hospital Singapore, Singapore, Singapore
P192 A survey on mechanical ventilator practice and synchrony management in Thailand
N Kongpolprom
King Chulalongkorn Memorial Hospital, Bangkok, Thailand
P193 Single step versus intermittent evacuation of simple pleural effusion in ventilated patients
N Makhoul
Galilee Medical Center, Naharia, Israel
P194 Positional effects on the distributions of ventilation and end-expiratory gas volume in the asymmetric chest –a quantitative lung computed tomographic analysis
GA Cortes-Puentes1, K Gard2, A Adams2, D Dries3, R Oeckler1, M Quintel4, L Gattinoni4, JJ Marini3
1Mayo Clinic, Rochester, MN, USA; 2Regions Hospital, Saint Paul, MN, USA; 3University of Minnesota, Minneapolis, MN, USA; 4University of Göttingen, Göttingen, Germany
P195 Intensive care unit doctors’ self-reported preferences for arterial oxygen tensions in mechanically ventilated patients
OL Schjørring1, AP Toft-Petersen2, KH Kusk1, EE Sørensen1, P Mouncey2, A Perner3, J Wetterslev3, BS Rasmussen1
1Aalborg University Hospital, Aalborg, Denmark; 2Intensive Care National Audit & Research Centre (ICNARC), London, UK; 3Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
PaO2 | Increase | No change | Decrease |
---|---|---|---|
8 kPa | 53% (49%-56%) | 47% (43%-51%) | 0% (0%-1%) |
10 kPa | 2% (1%-3%) | 73% (70%-76%)* | 25% (22%-28%) |
12 kPa | 0% (0%-1%) | 26% (23%-29%)* | 74% (71%-77%) |
14 kPa | 0% (0%-0%) | 3% (2%-4%)* | 97% (96%-98%) |
PaO2 | Increase | No change | Decrease |
---|---|---|---|
8 kPa | 11% (9%-14%) | 85% (82%-87%) | 4% (3%-6%) |
10 kPa | 1% (0%-2%) | 38% (34%-42%)* | 61% (58%-65%) |
12 kPa | 0% (0%-1%) | 4% (3%-6%)* | 95%(93%-96%) |
14 kPa | 0% (0%-1%) | 1% (0%-2%)* | 99% (97%-99%) |
P196 Diaphragm ultrasound to predict weaning outcomes in mechanically ventilated patients
S Abdallah, A Ben Souissi, W Yaakoubi, S Kamoun, I Ben Naoui, MS Mebazaa
Mongi Slim university Hospital, Tunis, Tunisia
P197 Impact of adhesion of ventilatory weaning protocol on the incidence rate of pneumonia associated with mechanical ventilation in the tracheostomized patient
P Travassos1, E Teixeira2, L Freitas2, P Darin2, L Junqueira2, T Kawagoe2, N Postalli2, R Vale2, V Veiga2, S Rojas2
1Sao Paulo, Sao Paulo, Brazil; 2Hospital BP - A Beneficência Portuguesa de São Paulo, São Paulo, Brazil
P198 Evaluation of diaphragmatic thickness with ultrasound in patients undergoing controlled and assisted mechanical ventilation
C Abbruzzese 1, D Ferlicca2, S Francesconi2, V Ormas3, E Lupieri3, S Calcinati4, S Cenci3, E Chiodaroli5, A Facchini2, A Pesenti1, G Foti4, G Bellani3
1Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy; 2ASST Monza, Desio Hospital, Desio, Italy; 3University of Milano-Bicocca, Monza, Italy; 4ASST Monza, San Gerardo Hospital, Monza, Italy; 5Università degli Studi di Milano, Milan, Italy
>=10% increase in diaphragm thickness (n=17) | <10% increase in diaphragm thickness (n=9) | P value | |
---|---|---|---|
Age, mean (SD) | 59 (10) | 59 (13) | 0,973 |
SOFA score at baseline, median (IQR) | 7 (6-9) | 9 (6-10) | 0,181 |
Tidal Volume, ml/kg mean (SD) | 7 (2) | 7 (2) | 0,977 |
Pressure Support, cmH2O median (IQR) | 8 (7-9) | 8 (7-10) | 0,598 |
PEEP, cmH2O mean (SD) | 8 (2) | 10 (2) | 0,04 |
Days in hospital for survivors, median (IQR) | 36 (24-44) | 62 (45-81) | 0,048 |
ICU outcome, n death (%) | 1 (6) | 3 (33) | 0,116 |
P199 Prediction of intrinsic positive end-expiratory pressure using diaphragmatic electrical activity in neutrally-triggered and pneumatically-triggered pressure support
F Xia
Nanjing Zhongda Hospital, Southeast University, Nanjing, China
P200 Distribution of ventilation in obese and non-obese patients: obesity greatly attenuates peep-induced hyperdistension.
G Alcala1, C Morais1, R De Santis2, M Tucci1, M Nakamura1, E Costa1, M Amato1
1University of Sao Paulo School of Medicine, Sao Paulo, Brazil; 2Massachusetts General Hospital, Boston, MA, USA
P201 Low flow CO2 removal in combination with renal replacement therapy effectively reduces ventilation requirements in hypercapnic patients – results of a pilot study
J Nentwich1, S Kluge2, D Wichmann2, H Mutlak3, S Lindau3, S John1
1Klinikum Nürnberg, Nuremberg, Germany; 2University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 3University Hospital Frankfurt, Frankfurt, Germany
P202 Is the filters setting relevant in terms of performances during low flow(lf)-ECCO2R in combination with CRRT?
S Mantovani1, F Biagi1, R Baldini1, A Gmerek1, C Barth1, VM Ranieri2
1B. Braun Avitum AG, Melsungen, Germany; 2Sapienza University, Rome, Italy
Setting | baseline | 24 h | 48 h | 72 h |
---|---|---|---|---|
up-stream PFP (mmHg) | 278.4 ± 9.4 | 370.0 ± 7.6 | 415.0 ± 5.2 | 451.4 ± 7.6 |
down-stream PFP (mmHg) | 380.8 ± 7.2 | 447.0 ± 4.7 | 488.2 ± 5.1 | 481.8 ± 6.0 |
P203 Low-flow combined extracorporeal renal-pulmunary support: a retrospective observational case series
G Consales1, L Zamidei1, G Michelagnoli1, B Ammannati2, G Boscolo3, G Dipalma4, P Isoni5, F Turani6
1Santo Stefano Hospital, Prato, Italy; 2University of Florence, Florence, Italy; 3Ospedale dell’Angelo, Maestre, Italy; 4IRCCS Policlinico San Donato, San Donato, Italy; 5 Marino Hospital, Cagliari, Italy; 6Aurelia and European Hospital, Rome, Italy
P204 Systemic IL-18 production and spontaneous breathing trial (SBT) outcome: the effect of sepsis
A Kyriakoudi, N Rovina, O Koltsida, M Kardara, I Vasileiadis, M Daganou, N Koulouris, A Koutsoukou
National and Kapodestrian University of Athens Medical school, Athens, Greece
P205 Assessing the effects of duration of apnea on adequacy of ventilation in the post-operative environment
JE Freeman1, H Essber2, B Cohen2, M Walters2, D Chelnick2, L Glosser2, C Hanline2, A Turan2
1Respiratory Motion, inc., Waltham, MA, USA; 2Cleveland Clinic Foundation, Cleveland, OH, USA
P206 Spectrum of histopathological findings and underlying causes in 59 patients with diffuse alveolar hemorrhage
S Sangli, M Baqir, J Ryu
Mayo Clinic, Rochester, MN, USA
Histopathology: | Clinical Diagnoses: |
---|---|
AH with capillaritis(11) | Microscopic polyangitis(4) |
Granulomatosis polyangitis(4) | |
AH without capillaritis(7) | Antiphospholipid syndrome(1) |
Microscopic polyangitis(1) | |
AH with diffuse alveolar damage(4) | Microscopic polyangitis(3) |
AH with Pulmonary vascular changes(1) | Pulmonary hypertension(1) |
Histopathology: | Clinical Diagnoses: |
AH without capillaritis (22) | Granulomatosis polyangitis (4) |
Microscopic polyangitis (3) | |
AH with capillaritis (11) | Granulomatosis polyangitis (7) |
Drug induced (1) | |
AH with diffuse alveolar damage (1) | Enterococcus bacteremia in AIDS (1) |
P207 Cardiovascular risk in patients with severe COPD in early stages of renal dysfunction: the role of vitamin D
N Trembach, V Yavlyanskaya
Kuban State Medical University, Krasnodar, Russia
P208 Intravenous magnesium sulfate in the treatment of acute exacerbations of COPD: a randomized controlled trial
E Pishbin, E Vafadar Moradi
Mashhad University of Medical Sciences, Mashhad, Iran
P209 Assessment of peripheral chemoreflex sensitivity in patients with COPD
N Trembach, I Zabolotskikh
Kuban State Medical University, Krasnodar, Russia
P209A Outcomes of patients admitted to the intensive care unit with acute exacerbation of pulmonary fibrosis.
S Sahota, J Paddle, C Powell
Royal Cornwall Hospital, Truro, UK
P210 Acute respiratory failure (ARF): differences in diaphragmatic ultrasonography in medical and surgical patients
G Zani, F Di Antonio, M Pichetti, V Cricca, A Garelli, C Gecele, M Campi, F Menchise, M Valbonetti, S Mescolini, E Graziani, M Diamanti, C Nencini, FD Baccarini, M Fusari
Santa Maria delle Croci Hospital, Ravenna, Italy
P211 Ultrasound and diaphragmatic dysfunction: impact of surgical approach
M Luperto1, M Bouard2, S Mongodi1, F Mojoli1, B Bouhemad2
1Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy; 2Centre Hospitalier Régional Universitaire de Dijon Bourgogne, Dijon, France
Laparotomy (n=12) | Sternotomy (n=23) | Thoracotomy (n=8) | p | |
---|---|---|---|---|
Age (years) | 68.0 [60.5-81.5] | 72.0 [63.0-81.0] | 76.0 [68.0-79.5] | 0.7809 |
Males | 7 (58.3%) | 13 (56.5%) | 5 (62.5%) | 0.9570 |
BMI | 27.2 [23.4-32.0] | 26.0 [23.2-29.3] | 26.7 [23.2-29.6] | 0.6588 |
Weaning failure | 3 (25.0%) | 7 (30.4%) | 7 (87.5%)# | 0.0080 |
MV length (min) | 285 [220-375] | 285 [240-360] | 300 [240-450] | 0.8595 |
ICU stay (days) | 1 [1-3] | 1 [1-2] | 2 [2-6] | 0.2156 |
Laparotomy (n=12) | Sternotomy (n=23) | Thoracotomy (n=8) | p | |
---|---|---|---|---|
Right CD (cm) | 1.23 [0.82-1.71] | 1.43 [1.01-1.79] | 0.74 [0.54-1.22]# | 0.0375 |
Right TR (%) | 25.6 [16.6-31.5] | 26.0 [13.5-31.4] | 11.4 [4.2-18.6]# | 0.0393 |
Left CD (cm) | 0.98 [0.68-1.61] | 1.43 [1.21-2.0] | 1.61 [1.25 -2.16] | 0.0999 |
Left TR ratio (%) | 21.1 [16.4-34.4] | 25.7 [19.0-36.5] | 22.0 [14.7-29.4] | 0.5091 |
P212 Does it make difference to measure diaphragm thickness with M mode or B mode?
B Kalın, G Gursel
Gazi University School of Medicine, Ankara, Turkey
P213 Diaphragmatic dysfunction in critically ill patients and its impact on outcome. Assessment of diaphragmatic thickness and excursion by ultrasound
Y Nassar, M Amin, M Ghonemy, H Abulwafa
Cairo University, Giza, Egypt
P214 Multimodal evaluation of diaphragm function after cardiac surgery
R Pinciroli1, M Bottiroli2, D Ceriani2, S Checchi1, A Danieli3, A Calini2, MP Gagliardone2, G Bellani1, R Fumagalli1
1University of Milan-Bicocca, Monza, Italy; 2ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; 3University of Milan, Milan, Italy
P215 Esophageal pressure and diaphragm
A Menis, D Makris, V Tsolaki, E Zakynthinos
University Hospital of Larisa, Larissa, Greece
P216 The relationship between transpulmonary pressure, end expiratory lung volume and intraabdominal pressure in patients with respiratory and intraabdominal pathologies
D Diktanaite1, A Kalenka2, M Fiedler1, E Simeliunas1
1University of Heidelberg, Heidelberg, Germany; 2Hospital Bergstrasse, Heppenheim, Germany
PEEP 5 | group 1 | group 2 | P value |
---|---|---|---|
EELV | 1226±547 | 1271±519 | 0.391 |
Cstat | 55 ±21 | 52 ±18 | 0.062 |
Pinsp | 18.2 ±2.8 | 22.3 ±4.5 | 0.001 |
Pesmin | 9.9 ±3.5 | 11.8 ±4.0 | 0.04 |
Pesmax | 13.7 ±3.2 | 16.9 ±4.3 | 0.002 |
Δ PL | 9.5 ±2.9 | 10.7 ±4.8 | 0.01 |
IAP | 8.7 ±3.2 | 11.1 ±3.3 | 0.007 |
P217 Occlusion test for esophageal manometry: large artifacts caused by fast compression
C Lima1, C Morais1, T Yoshida2, S Gomes1, G Plens1, O Ramos1, R Roldan3, S Pereira1, M Tucci1, E Costa1, M Amato1
1Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; 2University of Toronto, Toronto, Canada; 3Hospital Rebagliati, Lima, Peru
P218 Electrical impedance tomography guided ventilation
R Knafelj, M Noc, V Gorjup
University Medical Center Ljubljana, Ljubljana, Slovenia
P219 Validity of esophageal pressure measurement by a commercially available ventilator: a comparison with an in vivo calibration method
M Kyogoku1, S Mizuguchi2, T Miyasho3, Y Endo3, Y Inata4, T Ikeyama1, K Tachibana4, K Yamashita3, M Takeuchi4
1Aichi Children’s Health and Medical Center, Obu-shi, Aichi, Japan; 2Kyushu University, Fukuoka-city, Fukuoka, Japan; 3Rakuno Gakuen University, Ebetsu, Hokkaido, Japan; 4Osaka Women’s and Children’s Hospital, Izumi, Osaka, Japan
P220 Comparison of esophageal pressure and CVP-derived pleural pressure in spontaneously breathing children
N Okuda1, M Takeuchi2, M Kyogoku3, K Moon2, Y Inata2, T Hatachi2, Y Shimizu2
1Tokushima University Hospital, Tokushima, Japan; 2Osaka Women’s and Children’s Hospital, Osaka, Japan; 3Aichi Children’s Health and Medical Center, Aichi, Japan
P221 Driving pressure during assisted ventilation: an observational study
A Proklou1, E Akoumianaki1, E Pediaditis1, C Psarologakis1, E Koutsiana2, I Chouvarda2, E Kondili1, D Georgopoulos1, K Vaporidi1
1University Hospital of Heraklion, Heraklion, Greece; 2Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
P222 Comparison of respiratory volume monitoring vs. capnography during intravenous propofol-based anesthesia
JE Freeman1, S Pentakota2, E Blaney2, B Kodali2
1Respiratory Motion, inc., Waltham, MA, USA; 2Brigham and Women’s Hospital, Boston, MA, USA
RVM | Capnography | ||
---|---|---|---|
% Time with Data | MV/EtCO2 | 99.2 ± 1.3% | 89.5 ± 19.7% |
% Time with Data | RR | 99.2 ± 1.3% | 89.5 ± 19.7% |
High EtCO2 | Low EtCO2 | |
---|---|---|
Alarm criteria | EtCO2 > 50 mmHg or EtCO2 > 130% Baseline EtCO2 | EtCO2 < 20 mmHg or EtCO2 < 70% Baseline EtCO2 |
# of Alarms | 13 | 47 |
# of Alarms with corresponding LMVe | 13 | 43 |
Delay between LMVe and EtCO2 Alarm | 7.7 ± 2.7 min | 2.9 ± 0.6 min |
P223 Evaluation of the negative arterial to end-tidal co2 pressure gradient as a predictor of survival in acute respiratory failure
C Ko1, M Yeh1, Y Chen1, C Chen2
1Chang Gung Memorial Hospital, Yulin, Taiwan; 2National Chung Hsing University, Taichung, Taiwan
Negative value | Positive value | p value | |
---|---|---|---|
Age | 67.95±18.57 | 67.07±16.83 | NS |
Mortality(%) | 6/40(15) | 66/157 (42) | .001 |
FiO2 settting | 69.43±14.67 | 80.87±16.98 | .001 |
Respiratory Rate | 18.77±3.73 | 20.27±4.1 | .036 |
Mean artery pressure | 99.01±20.05 | 89.19±22.2 | .013 |
PEtCO2 | 43.35±14.49 | 32.75±10.64 | .001 |
PaO2 | 234.07±111.27 | 170.67±131 | .005 |
Negative value | Positive value | Odds ratio (95% CI) | p value | |
---|---|---|---|---|
[no. of deaths/no. of patients (%)] | [no. of deaths/no. of patients (%)] | |||
All patients | 6/40(15) | 66/157 (42) | 0.243(0.097-0.613) | 0.001 |
Age<65 | 1/16(6.3) | 30/65(46.2) | 0.078(0.010-0.624) | 0.003 |
Male | 3/28(10.7) | 47/105(44.8) | 0.148(0.042-0.521) | 0.001 |
Female | 6/12(50) | 22/52(42.3) | 0.579(0.139-2.403) | NS |
PaO2/FiO2<300 | 1/16(6.3) | 47/110(42.7) | 0.089(0.011-0.701) | 0.003 |
Minute volume>8 | 4/29(13.8) | 49/119(41.2) | 0.229(0.075-0.698) | 0.004 |
P224 Predictive indexes in the extubation success or failure: role of the expiratory peak flow
IR Porto, MM Silva, RS Zaponi, JL Jaskowiak, LR Abentroth, BA Kanezawa, ER Penteado, PS Quadros, TC Schnaufer, EF Osaku, CR Costa, SM Ogasawara, MA Leite, AC Jorge, P Duarte
Hospital Universitario do Oeste do Parana, Cascavel, Brazil
P225 Expression of proinflammatory and fibrogenetic biomarkers in ards: a case-series of 4 patients
M Cozzolino1, M Del Re2, E Rofi2, G Rombolà1, A Franci1, M Bonizzoli1, R Danesi2, A Peris1
1A.O.U. Careggi, Florence, Italy; 2University Hospital, Pisa, Italy
P226 Genetic modification of mesenchymal stem cells overexpressing angiotensin II type 2 receptor increase lung engraftment in LPS-induced acute lung injury mice
X Xu1, LL Huang1, LL Huang1, SL Hu1, JB Han1, HL He2, JY Xu1, JF Xie1, AR Liu1, SQ Liu1, L Liu1, YZ Huang1, FM Guo1, Y Yang1, HB Qiu1,
1Nanjing Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China; 2Affiliated Hospital of University of Electronic Science and Technology of China & Sichuan Provincial People’s Hospital, Chengdu, China
P227 Hepatocyte growth factor protects against lipopolysaccharide-induced endothelial barrier dysfunction with Akt/mTOR/STAT-3 pathway
S Meng, F Guo, X Zhang, W Chang, H Qiu, Y Yang
Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
P228 The circadian clock protein BMAL1 regulates the severity of ventilator-induced lung injury in mice
M Felten, LG Teixeira-Alves, E Letsiou, HC Müller-Redetzky, N Suttorp, A Kramer, B Maier, M Witzenrath
University Medicine Charité, Berlin, Germany
P229 Hemodynamic resuscitation with fluids bolus and norepinephrine increases severity of the lung damage in an experimental model of septic shock
P Guijo Gonzalez1, MI Monge García1, MA. Gracia Romero1, A Gil Cano1, M Cecconi2
1Jerez Hospital SAS, Jerez de la Frontera, Spain; 2St. George’s Healthcare NHS Trust, London, UK
P230
Withdrawn
P231 Titration of positive end-expiratory pressure in severely obese patients with acute respiratory distress syndrome
J Fumagalli1, R De Santis Santiago2, M Teggia Droghi2, G Larson2, S Kaneki2, S Palma2, D Fisher2, M Amato3, R Kacmarek2, L Berra2
1Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milano, Italy; 2 Massachusetts General Hospital, Boston, USA,3University of São Paulo, São Paulo, Brazil
N=13 | PEEP ICU | PEEP INCREMENTAL | PEEP DECREMENTAL |
---|---|---|---|
PEEP, cmH2O | 12.7 ± 0.3 | 22.1 ± 0.8 * | 21.7 ± 0.9 * |
Driving Pressure, cmH2O | 13.3 ± 1.1 | 10.9 ± 0.7 * | 9.6 ± 0.5 *# |
PLE, cmH2O | -5.5 ± 1.4 | 1.5 ± 1.0 * | 1.4 ± 1.1 * |
ElastanceL, cmH2O/L | 27.8 ± 2.9 | 23.6 ± 1.6 * | 19.6 ± 1.6 *# |
ElastanceCW, cmH2O/L | 8.1 ± 1.5 | 6.0 ± 0.9 * | 5.3 ± 0.8 * |
EELV, mL§ | - | 1040 ± 193 * | 1090 ± 233 * |
PaO2/FiO2 | 183.7 ± 30.1 | 242.6 ± 28.7 * | 324.1 ± 23.2 *# |
P232 hMSCs subjected to cyclic mechanical stretch change the damage of endothelial cell induced by LPS
J Li, C Pan, H Qiu
Nanjing Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
P233 Tidal volume reduction on ICU: a quality improvement project
R Samanta, V Wong, R Talker, A Ecole, C Summers
Addenbrooke’s Hospital, Cambridge, UK
P234 Size matters: how can we improve intra-operative ventilation?
L Raman, M Grover
Northwick Park Hospital, London, UK
Variable | Median | IQR |
---|---|---|
Actual body weight (Kg) | 72 | 23 |
Ideal body weight (Kg) | 61 | 17 |
Tidal volume (mL) | 500 | 100 |
Tidal volume (mL/Kg ABW) | 7.5 | 2.1 |
Tidal volume (mL/Kg IBW) | 8.7 | 2.2 |
PEEP (cmH2O) | 4 | 2 |
Duration of procedure (mins) | 90 | 60 |
P235 Protective mechanical ventilation to prevent acute respiratory distress syndrome
A Kuzovlev1, A Shabanov2, T Smelaya1, A Goloubev1, V Moroz1
1Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A. Negovsky research institute of general reanimatology, Moscow, Russia; 2N.V. Sklifosofsky Moscow City Research Institute of Emergency Care, Moscow, Russia
P236 Ultra-protective ventilation with coaxial endotracheal tube and moderately high respiratory rates reduces driving pressure
N Carvalho1, C Moraes1, A Beda2, M Nakamura1, M Volpe3, S Gomes1, O Stenqvist4, M Amato1
1University of São Paulo, São Paulo, Brazil; 2Federal University of Minas Gerais, Belo Horizonte, Brazil; 3Federal University of São Paulo, Guarujá, Brazil; 4Sahlgrenska Universty Hospital, Goteborg, Sweden
P237 The use of acute cor pulmonale risk score for the diagnosis of acute cor pulmonale in acute respiratory distress syndrome
H Elsayed, T Zaytoun, O Hassan, A Sarhan
Faculty of medicine - Alexandria university, Alexandria, Egypt
P238 Expiratory ventilation assistance improves arterial oxygenation in ARDS – a randomized controlled study in pigs
J Schmidt, C Wenzel, S Spassov, S Wirth, S Schumann
Medical Center - University of Freiburg, Freiburg, Germany
P239 Application of transpulmonary pressure measurement in severe ARDS
S Jog, J Mulchandani, A Garg, P Kalyani, P Rajhans, P Akole, B Pawar, B Bhurke, S Chavan, P Dalvi, S Sable, A Kulkarni, V Giri, N Kunjir, N Mahale, G Ranade, R Desai
Deenanath Mangeshkar Hospital, Pune, India
Variable | Pre TPP | Post TPP | |
---|---|---|---|
1 | Tidal Volume ml | 386 ± 32.61 | 412±71.24 |
2 | PEEP cm of H2O | 15.2±1.24 | 20.7±2.53 |
3 | Airway Pplat cm of H2O | 34.2±3.36 | 41.2± 2.54 |
4 | pH | 7.24±0.06 | 7.23±0.06 |
5 | PO2 mm Hg | 69.3±14.16 | 87.1±20.24 |
6 | PO2/FiO2 ratio | 80.9±17.54 | 105.9±23.81 |
7 | PCO2 mm Hg | 61.8±14.35 | 60.8±12.4 |
P240 Impact of a stepwise increase in PEEP (PEEP-trial) on haemodynamics, static compliance, functional residual capacity and tidal volume: a study in patients with picco-monitoring
W Huber, J Wettstein, S Rasch, T Lahmer, A Herner, M Heilmaier, G Batres-Baires, R Schmid, U Mayr
Klinikum rechts der Isar, Munich, Germany
P242 Restoration of homogenous ventilation does not impair the right heart function
M Teggia Droghi1, R De Santis Santiago2, J Fumagalli3, S Kaneki2, G Galli2, S Palma2, G Larson2, M Bottiroli4, R Pinciroli4, F Marrazzo2, A Bagchi2, K Shelton2, A Sonny2, M Amato5, R Kacmarek2, L Berra2
1University of Milano-Bicocca, Monza, Italy; 2Massachusetts General Hospital, Boston, MA, USA; 3Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy; 4ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; 5University of São Paulo, Heart Institute, São Paulo, Brazil
Baseline (n=17) | Incremental (n=17) | Decremental (n=17) | |
---|---|---|---|
PaO2/FiO2 ratio | 147 ± 86.7 | 194.1 ± 107.3 | 286.7 ± 95.9*^ |
PEEP (cmH2O) | 12.5 ± 1.5 | 21.8 ± 3.3* | 21.2 ± 3.3* |
Driving Pressure (cmH2O) | 13.5 ± 3.8 | 12.2 ± 3.0 | 10.1 ± 2.6*^ |
TAPSE (cm) | 2.38 ± 0.42 | 2.27 ± 0.39 | 2.22 ± 0.43 |
S’ (cm/s) | 13.85 ± 2.53 | 12.96 ± 2.35 | 12.78 ± 3.23 |
P243 Heparin-binding protein in ventilator induced lung injury
J Tyden1, N Larsson1, H Herwald2, M Hultin1, J Wallden1, J Johansson1
1Umea university, Umea, Sweden; 2Lund university, Lund, Sweden
Control n=6 | VILI n=6 | p value | |
---|---|---|---|
Weight (kg) | 35.5 (28 - 50) | 35.5 (29 - 47) | 0.818 |
Premature death (n) | 0 | 2 | |
Tidal volume (ml) | 280 (228 - 400) | 710 (575 - 940) | 0.002 |
Respiratory rate (breaths/min) | 30 (26 - 38) | 20 (20 - 20) | 0.002 |
Average peak inspiratory pressure (cmH2O) | 22 (20 - 23) | 43(39 - 48) | 0.002 |
FiO2 | 0.35 (0.29 – 0.40) | 1.0 (1.0 – 1.0) | 0.002 |
Worst P/F ratio (kPa) | 46 (34 - 52) | 14 (8 - 39) | 0.041 |
Last P/F ratio | 53 (43 - 64) | 25 (8 - 43) | 0.065 |
Last PCO2 (kPa) | 4.6 (3.8 – 5.0) | 5.9 (4.7 – 7.0) | 0.093 |
Last pH | 7.52 (7.47 – 7.55) | 7.41 (7.31 – 7.48) | 0.026 |
Total crystalloid (ml) | 2000 (975 - 3000) | 2500 (1800 - 3200) | 0.394 |
Total kolloid (ml) | 0 (0 - 500) | 375 (0 - 500) | 0.485 |
Average fluid admin. (ml/kg/h) | 7.7 (4.4 – 8.2) | 10.0 (8.5 – 12.0) | 0.026 |
Average CVP (mmHg) | 8 (7 - 8) | 7 (6 - 9) | 0.394 |
Average MAP (mmHg) | 70 (67 - 75) | 75 (53 - 102) | 0.24 |
Average heart rate (bpm) | 87 (82 - 95) | 103 (94 - 111) | 0.065 |
Average temp (Degr.C) | 39.4 (38.3 – 39.7) | 38.5 (38.0 – 39.3) | 0.394 |
Recovered BAL volume (percent) | 78 (62.5 – 84.0) | 71 (60.0 – 79.0)7 | 0.168 |
P244 Efficacy and safety of corticosteroids for acute respiratory distress syndrome: an updated meta-analysis
N Owattanapanich1, N Phaetthayanan 2
1Faculty of Medicine, Siriraj hospital, Bangkok, Thailand; 2Nakhonpathom hospital, Nakhonpathom, Thailand
P245 The effect of surfactant administration on outcomes of adult acute respiratory distress syndrome patients: a systematic review and meta-analysis of randomized controlled trials
S Meng, W Chang, Z Lu, J Xie, H Qiu, Y Yang, F Guo
Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
P246 Moderate to severe acute respiratory distress syndrome in a population of primarily non-sedated patients, an observational cohort study
L Bentsen, T Strøm, P Toft
Odense University Hospital, Odense C, Denmark
P247 A new quantitative ct parameter as a one stop-shop to describe status and outcome of patients with acute respiratory distress syndrome
P Leiser1, H Haubenreisser1, S Schönberg1, C Weiß2, M Hagmann2, J Schoettler3, FS Centner3, T Kirschning3, M Thiel3, J Krebs3
1Institute of Clinical Radiology and Nuclear Medicine, Mannheim, Germany; 2Department for Medical Statistics and Biomathematics, Mannheim, Germany; 3Department of Anaesthesiology and Intensive Care Medicine, Mannheim, Germany
P248 Bronchoalveolar lavage as a diagnostic and prognostic tool in acute respiratory failure
Y Iwasaki, Y Kida, M Kyo, K Hosokawa, S Ohshimo, N Shime
Hiroshima University, Hiroshima, Japan
P249 Oxygen delivery, carbon dioxide removal, energy transfer to the lungs and pulmonary hypertension behavior during venous-venous extracorporeal membrane oxygenation support: a mathematical modeling approach
BA Besen1, LM Melro1, TG Romano2, PV Mendes1, M Park1
1Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; 2ABC Medical School, Santo Andre, Brazil
P250 Early recovery from acute kidney injury during venovenous ECMO associates with improved survival in severe ARDS
S Gaião, C Meng, R Vilares-Morgado, R Roncon-Albuquerque, J Paiva
São João Hospital Center, Oporto, Portugal
P251 Feasibility and safety of low-flow extracorporeal CO2 removal managed with a renal replacement platform to enhance lung-protective ventilation of patients with mild-to-moderate ARDS
M Schmidt1, S Jaber2, E Zogheib3, T Godet4, G Capellier5, A Combes6
1APHP, Pitie Salpetrière, Paris, France; 2CHU de Montpellier, Montpellier, France; 3chu amiens, Amies, France; 4Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Clermont-Ferrand, France; 5Besançon University Hospital, Besançon, France; 6APHP, Paris, France
P252 Thromboelastography-based anticoagulation management during extracorporeal membrane oxygenation: a safety and feasibility pilot study
M Panigada1, G Iapichino2, M Brioni2, G Panarello3, A Protti1, G Grasselli1, G Occhipinti3, C Novembrino1, D Consonni1, A Arcadipane3, L Montalbano2, L Gattinoni4, A Pesenti1
1Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy; 2University of Milan, Milano, Italy; 3ISMETT IRCCS (Istituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione), Palermo, Italy; 4University of Göttingen, Göttingen, Germany
P253 Determinants and prognostic implications of the acute cor pulmonale clinical risk score in severe ARDS rescued with venovenous ECMO
C Basílio, J Artur Paiva, R Roncon-Albuquerque
Intensive Care Medicine Department, Centro Hospitalar de S.João, Porto, Portugal
P254 Mechanical power decreased in acute respiratory distress syndrome patients supported with extracorporeal membrane oxygenation
T Vossler, S Nonas
Oregon Health & Science University, Portland, OR, USA
P255 Attributable mortality of acute respiratory distress syndrome: a systematic review and meta-analysis
LK Torres, JS Harrington, C Oromendia, AM Choi, II Siempos
Weill Cornell Medicine, New York City, New York, USA
P256 Attributable mortality of acute respiratory distress syndrome in critically ill septic patients
LK Torres1, EJ Finkelsztein2, C Oromendia1, EJ Schenck1, A Higuera3, RM Baron3, LE Fredenburgh3, JW Huh4, AM Choi1, II Siempos1
1Weill Cornell Medicine, New York, USA; 2New York-Presbyterian Brooklyn Methodist Hospital, Brooklyn, New York, USA; 3Brighman and Women’s Hospital, Harvard Medical School, Boston, MA, USA; 4Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
P257 A multicenter study on the inter-rater reliability of HEART score among emergency physicians from three Italian emergency departments
N Parenti1, ML Bacchi Reggiani2, S Morselli1, G Pezzuto1, F Agrusta1, N Amadori1, V Casolari1, M Volpe1, G Farina2, A Di Miccoli2, L Bonfanti3, F Numeroso3, A Vegetti1, F Pileri1, S Menetti1, M Nuzzetti1, G Tomassoli1, M Ravazzini1, M Buda1, F Mori1, M Cavazza2, G Cervellin3, A Pietrangelo1, L Brugioni1, A Luciani1
1Via del Pozzo 71 Modena 41124, Bologna, Italy; 2Policlinico Sant’Orsola, Bologna, Italy; 3AOU Parma, Parma, Italy
P258 Influence of hypoxic and hyperoxic preconditioning on endothelial function markers in a model of myocardial ischemia/reperfusion injury: experimental study
I Mandel1, Y Podoksenov2, S Mikheev3, A Podoksenov2, J Svirko2, A Gusakova2, I Suhodolo4, V Shipulin2
1Sechenov University, Moscow, Russia; 2Cardiology Research Institute, Tomsk, Russia; 3Treatment and Rehabilitation Center, Moscow, Russia; 4Siberian State Medical University, Tomsk, Russia
P259 Upscaling hemodynamic and brain monitoring during major cancer surgery: a before-after comparison study
M Lima1, L Mondadori1, A Chibana1, D Gilio1, E Giroud1, F Michard2
1A.C. Camargo Cancer Center, São Paulo, Brazil; 2MiCo, Denens, Switzerland
P260 Base deficit and severe maternal outcomes in critically ill patients with severe preeclampsia
C Bello-Muñoz1, G Monsalve2, A Cardona1, A Paternina-Caicedo3, F Camargo4, C Lopez5, A Castro6, O Lavalle7, R Padron2, M Vasco2, J Rojas-Suarez8
1Clinica del Prado, Medellin, Colombia; 2Grupo de investigacion en medicina critica y cuidados intensivos (Gricio), Cartagena, Colombia; 3Universidad de cartagena, Cartagena, Colombia; 4Clinica casa del niño, Monteria, Colombia; 5ESE la divina misericordia, Magangue, Colombia; 6Clinica de la mujer, Bogota, Colombia; 7Clinica Santa cruz de bocagrande, Cartagena, Colombia; 8Gestion salud IPS, Cartagena, Colombia
P261 Comparison of two different laser speckle contrast imaging devices to assess skin microcirculatory blood flow
G Guven, Y Ince, OI Soliman, S Akin, C Ince
Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
P262 Microvascular effects of hyperoxia and mild hypoxia in anesthetized rats
E Damiani, C Scorcella, S Ciucani, S Bolognini, N Mininno, A Donati
Università Politecnica delle Marche, Ancona, Italy
P263 Relationship between high central venous oxygen saturation and mortality in patients with sepsis
T Sricharoenchai, A Kanitsap, N Saiphoklang, P Rujiwit, P Pirompanich
Thammasat University, Pathum Thani, Thailand
P264 Differences in the impact of lactate levels and ScvO2 on the prognosis of septic patients requiring mechanical ventilation
Y Kishihara1, H Yasuda2, S Fujitani3, Y Taira4, K Morisawa4, Y Honma3, A Katsumi1, S Suzaki1
1Red Cross Musashino Hospital, Tokyo, Japan; 2Kameda medical center, Chiba, Japan; 3Tokyo Bay Urayasu Ichikawa Medical Center, Chiba, Japan; 4St.marianna University School of Medical, Kanagawa, Japan
P265 Skin oxygenation, biomarkers of endothelial injury and their association with severity of illness in patients with septic shock
S Kazune1, A Grabovskis2, O Suba3
1Hospital of Traumatology and Orthopaedics, Riga, Latvia; 2Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia; 3Riga East University Hospital, Riga, Latvia
P266 Comparison between ultrasound guided technique and digital palpation technique for radial artery cannulation in adult patients: a meta-analysis of randomized controlled trials
S Maitra, S Bhattacharjee, D Baidya
All India Institute of Medical Sciences, New Delhi, New Delhi, India
P267 Comparison of real time ultrasound guidance versus palpation technique in radial artery catheterization in critically ill patients presenting with hypotension: a randomized controlled trial
MS Khan, S Myatra, V Bhagat, S Siddiqui, A Narkhede, N Prabhu, AP Kulkarni, J Divatia
Tata Memorial Hospital, Mumbai, India
P268 Relationship between inferior vena cava diameter and variability with mean arterial pressure and respiratory effort
B Kalin, K Inci, G Gursel
Gazi University School of Medicine, Ankara, Turkey
P269 Assessing the response to a fluid challenge with LiDCOplus: does it augment decision making?
J Patterson, C McCue, A Puxty, M Hughes
Glasgow Royal Infirmary, Glasgow, UK
P270 Continuous monitoring of blood pressure surge during laryngeal microsurgery using non-invasive pulse transit time
YS Park, SH Kim, SW Ku, GS Hwang
Asan Medical Center, Seoul, South Korea
r | P | |
---|---|---|
Pulse transit time | -0.636 | <0.001 |
PPG amplitude | 0.164 | 0.287 |
PPG maximum slope | 0.249 | 0.103 |
PPG minimum slope | -0.537 | <0.001 |
PPG width50 | -0.065 | 0.675 |
PPG area | 0.205 | 0.182 |
P271 Restrictive inter operative volume coupled with lung ultrasound in prevention of post operative cardiogenic pulmonary edema development at cardiac patients who undergone non cardiac surgical procedure-pilot study
M Karaman Ilic1, M Draguljic Svagusa2, I Leko2, K Slunjski2, I Kozul2, L Nikles2
1Clinical Hospital Sveti Duh, Faculty of Medicine JJ Strossmayer University Osijek, Zagreb, Croatia,2 Clinical Hospital Sveti Duh, Anesthesiology and ICU, Zagreb, Croatia
P272 Performance comparison of ventricular and peripheral dP/dtmax for the evaluation of the left ventricular systolic function
Monge Garcia1, Z Jian2, F Hatib2, C Hunley3, M Cecconi4, MR Pinsky5
1Hospital SAS de Jerez, Jerez de la Frontera, Spain,2Edwards Lifesciences, Irvine, California, USA,3Orlando Health, Orlando, Florida, USA,4St. George’s Healthcare NHS Trust and St George’s University of London, London, UK,5University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
P273 Perioperative hemodynamic monitoring in cytoreductive surgery with hyperthermic intraperitoneal chemotherapy
A Heijne, P Krijtenburg, LA Baggen, MA Swenne, C Slagt
Radboudumc, Nijmegen, Netherlands
CS | FT | PA | TD | |
---|---|---|---|---|
Mean (mL min−1∙m−2) | 3.2 | 3.1 | 3.2 | 3.3 |
Bias (95%-CI, mL∙min−1∙m−2) | -0.1 (-0.5 – 0.1) | -0.3 (-0.6 – -0.1) | -0.2 (-0.5 – -0.1) | 0 (0 – 0) |
LOA (95%-CI, mL∙min−1∙m−2) | ±1.6 (1.5 – 1.8) | ±1.6 (1.5 – 1.8) | ±1.7 (1.6 – 1.9) | ±1.1 (1.0 – 1.3) |
PE (95%-CI, %) | 50 (45 – 55) | 51 (46 – 56) | 53 (48 – 59) | 8 (8 – 9) |
RC (95%-CI, mL∙min−1∙m−2) | 0.5 (0.5 – 0.6) | 0.6 (0.5 – 0.6) | 0.6 (0.6 – 0.7) | 0.1 (0.1 – 0.2) |
CS | FT | PA | |
---|---|---|---|
Angular bias | 27° | 2° | 11° |
Radial LOA | ±24° | ±28° | ±19° |
Concordance | 90% | 64% | 82% |
P274 Comparison of cardiac index (CI) estimates by body surface temperatures combined with biometric data (CI_CIN), uncalibrated clearsight and flotrac vs. transpulmonary thermodilution derived CI_TD
W Huber, J Mangold, T Lahmer, A Herner, U Mayr, R Schmid, M Heilmaier
Klinikum rechts der Isar, Munich, Germany
P275 Features of oxygen extraction ratio and temperature homeostasis during early postoperative period after major abdominal surgery
I Zabolotskikh, T Musaeva
Kuban State Medical University, Krasnodar, Russia
P276 Relation between venous-arterial CO2 to arterial-venous O2 content difference ratio and renal resistive index in critically ill patients
G Fotopoulou, I Poularas, S Kokkoris, I Broutzos, A Baladima, C Routsi
National and Kapodistrian University of Athens, Athens, Greece
P277 Cerebral oxygen saturation measurement in patients on venoarterial extracorporeal membrane oxygenation – a potential therapeutic target
S Zoufaly, G Trummer, C Benk, T Wengenmayer, C Bode, DL Staudacher
Heart Center Freiburg University, Freiburg i. Br., Germany
P278 A software tool to quantify capillary hematocrit and microvascular hemodilution in sublingual incident dark field microscopy video clips
S Arend1, C Ince1, M Van Assen1, T Fevzi2, MP Hilty1
1Academic Medical Center, Amsterdam, Netherlands,2Acıbadem Mehmet Ali Aydınlar University School of Medicine, Istanbul, Turkey
P279 Cardiac preload expansion and cardiac output as related to patient outcome
I Douglas1, P Alapat2, K Corl3, L Forni4, A Holder5, D Kaufman6, M Levy3, G Martin5, J Sahatjian7, E Seeley8, W Self9, NI Shapiro10, A Wolff11, D Hansell12
1Denver Health Medical Center, Denver, Colorado, USA,2Ben Taub, Houston, Texas, USA,3Rhode Island Hospital, Providence, Rhode Island, USA,4Royal Surrey Hospital, Guilford, UK,5Grady Memorial Hospital, Atlanta, Georgia, USA,6New York Langone Medical Center, New York, New York, USA,7Cheetah Medical, Newton Center, Massachusetts, USA,8Univesity of California San Francisco, San Francisco, California, USA,9Vanderbilt, Nashville, Tennessee, USA,10Beth Israel Medical Center, Boston, Massachusetts, USA,11Bridgeport Hospital, Bridgeport, Connecticut, USA,12Massachusetts General Hospital, Boston, Massachusetts, USA
SV | ECHO LV/RV Dysfunction | - | + |
---|---|---|---|
Grp 3 | - | 2 | 7 |
Grp 1 | + | 5 | 1 |
Chi Square | P | 0.02 |
P280 Clinical measurement of plasma (PV) and blood volume (BV) at the bedside
BA Molitoris1, DJ Meier2, ES Riley2, RM Sandoval1, AD Shaw3, DV Rizk4, JP Muldoon2, JS Strickland2
1Indiana University School of Medicine, Indianapolis, Indiana, USA,2FAST Biomedical, Indianapolis, Indiana, USA,3Vanderbilt University Medical Center, Nashville, Tennessee, USA,4University of Alabama School of Medicine, Birmingham, Alabama, USA
P281 Age-dependent response to intravenous fluid restriction in a model of acute lung injury in rats
SA Ingelse, J Juschten, MA Maas, NP Juffermans, JB Van Woensel, RA Bem
Academic Medical Center, Amsterdam, Netherlands
P282 The effect of a change in organizational measures on (para)medical behavior and adherence to fluid resuscitation protocol
L Delmas Benito, J Haenen, M Koopmans, P Koetsier, E De Widt, EC Boerma
Medical Center Leeuwarden, Leeuwarden, Netherlands
P283 Using a protocol for fluid resuscitation: how well is it followed?
R Cowan, J Patterson, C McCue, M Hughes, A Puxty
Glasgow Royal Infirmary, Glasgow, UK
P284 A reappraisal of the effects of fluid administration on left ventricular loading conditions in critically ill patients
M Jozwiak1, S Millasseau2, C Richard1, X Monnet1, P Mercado1, F Dépret1, JE Alphonsine1, JL Teboul1, D Chemla3
1Hôpitaux universitaires Paris-Sud, Hôpital de Bicêtre, APHP, service de réanimation médicale; Inserm UMR S_999, Univ Paris-Sud, Le Kremlin-Bicêtre, France, 2Pulse Wave Consuting, Saint Leu La Foret, France, 3Hôpitaux universitaires Paris-Sud, Hôpital de Bicêtre, APHP, service de physiologie; Inserm UMR S_999, Univ Paris-Sud, Le Kremlin-Bicêtre, France
P285 Physiological determinants of the respiratory variations of the inferior vena cava diameter in ventilated critically ill patients
M Jozwiak, P Mercado, JL Teboul, F Dépret, C Richard, X Monnet
Hôpitaux universitaires Paris-Sud, Hôpital de Bicêtre, APHP, service de réanimation médicale; Inserm UMR S_999, Univ Paris-Sud, Le Kremlin-Bicêtre, France
P286 Role of lung ultrasonography for assessment of endpoints of fluid therapy in patients with hypovolemic and septic shock
A Moustafa, A Fahmy, M Soliman, G Hamid
Cairo University, Cairo, Egypt
P287 A study on the predictability of global end-diastolic volume index (GEDI) through brain natriuretic peptide (BNP) measurement in the initial infusion management of septic patients with mechanical ventilation
H Yasuda
Kameda Medical Center, Chiba, Japan
P288 Impact of nutritional support in the fluid balance
R Marinho1, H Castro1, J Moura2, J Valente3, P Martins4, P Castelões 5, C Magalhaes6, S Cabral7, M Santos8, B Oliveira8, A Salgueiro4, F Coelho7, M Lopes1, B Xavier9, M Melo9, S Castro6, S Duarte3, N Santos3, E Lafuente10, A Marinho1
1Centro Hospitalar do Porto, Porto, Portugal,2Unidade Local de Saude do Alto Minho, Viana do Castelo, Portugal,3Unidade de Saude Local de Castelo Branco, Castelo Branco, Portugal,4Centro Hospitalar e Universitario de Coimbra, Coimbra, Portugal,5Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal,6Centro Hospitalar do Algarve, Algarve, Portugal,7Instituto Portugues de Oncologia do Porto, Porto, Portugal,8Faculdade de Ciencias da Nutricao e Alimentacao da Universidade do Porto, Porto, Portugal,9Centro Hospitalar Baixo Vouga, Aveiro, Portugal,10Centro Hospitalar Tamega e Sousa, Penafiel, Portugal
P289 The effect of fluid overload on length of stay ICU and duration of mechanical ventilation after cardiac surgery
L Delmas Benito, J Haenen, M Koopmans, P Koetsier, E De Widt, EC Boerma
Medical Center Leeuwarden, Leeuwarden, Netherlands
Outcome variables | Odds ratio | CI 95% | P-value |
---|---|---|---|
Cumulative fluid balance (L) | 1.547 | 1.378-1.737 | <0.001 |
APACHE III score | 1.016 | 1.004-1.029 | 0.009 |
ECC (min) | 1.004 | 1.001-1.007 | 0.015 |
Additive euroSCORE 1 | 1.070 | 1.006-1.137 | 0.032 |
Outcome variables | Odds ratio | CI 95% | P-value |
---|---|---|---|
Cumulative fluid balance (L) | 2.015 | 1.737-2.337 | <0.001 |
APACHE III score | 1.028 | 1.014-1.042 | <0.001 |
ECC (min) | 1.007 | 1.004-1.011 | <0.001 |
Additive euroSCORE 1 | 1.109 | 1.033-1.191 | 0.004 |
Post-operative LVEF | 1.839 | 1.092-3.096 | 0.022 |
P290 Impact of fluid accumulation on the survival of patients with septic shock
C Villavicencio, J Leache, M Cartanya, R Carbonell, A Rodriguez, M Bodí
Juan XXIII University Hospital, Tarragona, Spain
General characteristics, ICU admission (n 64) | Survivors* (n 53) | Non-survivors* (n 11) | p |
---|---|---|---|
Age (mean, SD) | 66 ± 14 | 67 ± 9 | 0.825 |
Sex male (%) | 53 | 55 | 0.431 |
APACHE II (mean, SD) | 28 ± 7 | 28 ± 11 | 0.938 |
SAPS II (mean, SD) | 56 ± 18 | 53 ± 29 | 0.598 |
SOFA (mean, SD) | 8 ± 2 | 9 ± 3 | 0.123 |
Abdominal sepsis (%) | 38 | 6 | 0.361 |
28-day mortality 17%. ICU mortality 28% |
Logistic regression | Odds ratio CI 95% | p |
---|---|---|
Age | 1.016 (0.946-1.091) | 0.660 |
APACHE II | 0.940 (0.838-1.054) | 0.288 |
Hemodialysis | 0.899 (0.156-5.184) | 0.905 |
Fluid overload >20% | 9.421 (1.342-66.139) | 0.024 |
P291 Balance of fluids and its association with mortality in patients with ards
N Canedo, J Baltazar, A Esquivel, A Cano
IMSS Centro Medico La Raza. Hospital de Especialidades., Mexico City, Mexico
P292 Association between fluid overload and SOFA score kinetic from admission to day 5 during septic shock: results of EPIGOAL study
X Chapalain1, V Vermeersch1, P Egreteau2, J Oilleau1, G Prat1, O Huet1
1Brest University Hospital, Brest, France, 2Morlaix Hospital, Morlaix, France
Characteristics | All patients, (n = 129) * | No fluid overload, (n = 73) | Fluid overload, (n = 47) | p-value |
---|---|---|---|---|
Age, mean (SD), years | 65.69 (11.95) | 66.88 (10.08) | 63.20 (13.45) | 0.091§ |
Male sex, n (%) | 94 (73.4) | 56 (76.7) | 33 (70.2) | 0.562 |
Site of infection, n (%) | ||||
Pneumonia | 94 (75.2) | 55 (78.6) | 32 (69.6) | 0.381 |
Peritonitis | 32 (25.6) | 16 (22.9) | 14 (30.4) | 0.487 |
Daily fluid balance, mean (SD) | ||||
Day 1 | 1,604.44 (2,806.21) | 1,163.82 (1,848.98) | 2,117.77 (3,915.37) | 0.075§ |
Day 2 | 1,618.97 (1,547.52) | 1,142.68 (1,431.51) | 2,387.66 (1,443.90) | <0.001§ |
Day 3 | 1,263.71 (2,955.08) | 608.88 (1,387.50) | 2,475.89 (4,213.05) | 0.001§ |
Day 4 | 459.16 (1,642.37) | 88.68 (1,561.96) | 1,041.81 (1,653.48) | 0.002§ |
Day 5 | 91.20 (1,325.04) | -272.52 (1,184.24) | 691.45 (1,410.06) | <0.001§ |
Cumulative fluid balance from day 1 to day 5 | 5,041.86 (6,789.93) | 2,738.05 (4,217.44) | 8,715.49 (8,619.00) | <0.001§ |
Delta SOFA score between day 1 to day 5 | 3.55 (4.01) | 4.52 (3.74) | 2.15 (3.50) | 0.001§ |
Outcomes | ||||
ICU length of stay | 17.15 (19.06) | 11.71 (10.61) | 27.66 (25.35) | <0.001§ |
28-day mortality, n (%) | 44 (34.1) | 21 (28.8) | 15 (31.9) | 0.870 |
90-day mortality, n (%) | 55 (42.6) | 25 (34.2) | 22 (46.8) | 0.236 |
Ventilator free-days at day 28 | 10.81 (10.59) | 13.84 (10.96) | 7.19 (8.43) | 0.001§ |
Duration of RRT | 4.50 (3.17) | 5.21 (3.18) | 3.85 (2.83) | 0.019§ |
Catecholamine free-days at day 10 | 1.77 (4.47) | 1.47 (4.92) | 2.45 (4.04) | 0.257 |
§ represents p-value considered statistically sign | ||||
* Fluid overload status is lacking for 9 patients |
Variables | Unadjusted RR | CI 95% | p-value | Adjusted RR | CI 95% | p-value |
---|---|---|---|---|---|---|
Fluid overload status | 0.09 | [0.023 - 0.38] | 0.001§ | 0.15 | [0.03 - 0.63] | 0.009§ |
Covariates | ||||||
Age | 1.09 | [1.02 - 1.16] | 0.006§ | 1.03 | [0.97 - 1.09] | 0.4 |
Weight at baseline | 1.00 | [0.97 - 1.04] | 0.8 | 0.98 | [0.95 - 1.01] | 0.18 |
Cardiovascular disease | 6.6 | [1.55 - 28.5] | 0.011§ | 4.4 | [1.10 - 17.6] | 0.036§ |
Chronic renal insufficiency | 0.81 | [0.10 - 6.69] | 0.84 | 0.16 | [0.02 - 1.28] | 0.084 |
Fluid intake at baseline | 1.0 | [0.99 - 1.00006] | 0.122 | 1.0 | [0.9997 - 1.0002] | 0.68 |
SOFA score at baseline | 1.8 | [1.43 - 2.24] | <0.001§ | 1.72 | [1.39 - 2.13] | <0.001§ |
Heart rate at baseline | 1.0 | [0.97 - 1.29] | 0.83 | 1.0 | [0.97 - 1.03] | 0.998 |
Length of hydrocortisone infusion | 0.89 | [0.73 - 1.07] | 0.22 | 0.93 | [0.78 - 1.1] | 0.38 |
P293 Large-volume crystalloid fluid is associated with increased hyaluronan shedding and inflammation in a hemorrhagic shock model
L Smart1, C Boyd2, M Claus2, E Bosio1, G Hosgood2, A Raisis2
1Harry Perkins Institute of Medical Research, Perth, Australia, 2Murdoch University, Murdoch, Australia
P294 Immediate hemodynamic response to fluid challenge is independent of fluid type
BR Hipszer1, A Joosten2, P Van der Linden3, F Hatib1
1Edwards Lifesciences, Irvine, California, USA,2CUB Erasme, Université Libre de Bruxelles, Brussels, Belgium,3CHU Brugmann, Brussels, Belgium
Fluid Type | Crystalloid | Colloid |
---|---|---|
Number of Cases | 57 | 62 |
Number of Boluses | 873 | 578 |
Responder Rate | 49% | 51% |
Mean [SD] DSV | 5.6 [13.2] | 6.0 [12.0] |
P295 A low serum albumin level in patients with burn shock is an independent risk factor for death.
V Bagin, V Rudnov, M Astafeva, O Krasnoperova, I Korobko, V Vein
City Clinical hospital №40, Yekaterinburg, Russia
P296 Albumin use evaluation in a tertiary care hospital in United Arab Emirates
SH Rashid, M Ur Rahman, MF Osseni, N Gebran, MF Abumandil
Tawam Hospital, Al Ain, Abudhabi, United Arab Emirates
Location/Doses | Oct-Dec 2016 | Jun-Aug 2017 |
---|---|---|
Intensive Care Unit (ICU) | 576 | 213 |
High Dependence Unit (HDU) | 84 | 23 |
Total doses | 660 | 236 |
Cost | 2016 | Jan-Sep 2017 |
---|---|---|
Total Cost (dhs) | 1,254,077 | 669,814 (9 months) |
Cost / month (dhs) | 104,506/mth | 74,424/mth |
Cost / month (USD) | 29,029 $/mth | 20,673 $/mth |
Average cost /Year (USD) | 348,348 $ | 248,076 $ |
P297 Lactated Ringer versus albumin in early sepsis therapy (RASP study): a randomized clinical trial
C Park, F Galas, J Fukushima, R Nakamura, G Oliveira, J Almeida, S Rizk, L Hajjar
Cancer Institute of Sao Paulo, Sao Paulo, Brazil
P298 5% albumin vs 4% gelation as an early colloid resuscitation after 30 cc./kg of crystalloid resuscitation in surgical septic shock patients admitting to the general surgical ICU
S Kongsayreepong, A Piriyapatsom, T Yuyen
Department of Anesthesiology, Siriraj Hospital, Mahidol University, Bangkok, Thailand
P299 Hydroxylethyl starch 6% (130/0,4) on pump priming of cardiopulmonary bypass circuit during cardiac surgery: effects on intraoperative fluid balance, transfusion requirement and kidney function
M Küllmar1, C Schmidt1, C Windhorst1, G Brodner2, S Martens1, M Meersch1, A Zarbock1
1University Hospital Münster, Münster, Germany,2Hospital Hornheide, Münster, Germany
P300 A randomized trial comparing two balanced fluids in the critically ill
S Omar, LR Mathivha
University of Witwatersrand, Johannesburg, South Africa
P301 Effects of crystalloid vs. colloid volume replacement on microcirculatory perfusion in free flap surgery
I László1, Á Janovszky1, N Öveges1, Z Lóderer2, P József1, A Szabó1, V Vargán1, A Lovas1, T Tánczos1, A Mikor1, D Trásy1, Z Molnár1
1University of Szeged, Szeged, Hungary,2Markusovszky Hospital, Szombathely, Hungary
P302 Deciphering the immunomodulatory consequences of crystalloids
F Brillant-Marquis, JA Sauvé, P Laplante, P Thebault, M Chassé, FM Carrier, R Lapointe, JF Cailhier
CRCHUM/CHUM/Université de Montréal, Montreal, Canada
P303 Hypertonic versus isotonic saline for initial fluid bolus in emergency department patients with suspected infection: a pilot RCT
L Smart, E Bosio, S Macdonald, D Fatovich, C Neil, G Arendts
Harry Perkins Institute of Medical Research, Perth, Australia
T0 | T1 | T3 | T24 | |
---|---|---|---|---|
Syndecan-1 (ng/mL) | ||||
Isotonic | 1.5 (1.2-1.9) | 1.2 (1.0-1.6) | 1.4 (1.0-2.0) | 2.0 (1.6-2.5) |
Hypertonic | 1.4 (1.1-1.8) | 1.4 (1.1-1.8) | 1.5 (1.1-2.0) | 2.0 (1.5-2.7) |
Interleukin-10 (pg/mL) | ||||
Isotonic | 1.9 (0.6-6.3) | 1.3 (0.4-4.2) | 0.7 (0.2-2.2) | 0.4 (0.2-0.9) |
Hypertonic | 0.5 (0.2-1.3) | 0.5 (0.2-1.3) | 0.8 (0.3-2.1) | 0.5 (0.2-1.4) |
P304 Acid-base variations of whole blood and isolated plasma induced by acute changes in partial pressure of carbon dioxide in critically ill patients and healthy controls: an in-vitro study.
T Langer, S Brusatori, E Carlesso, F Zadek, V Castagna, R Limuti, G Giudici, T Mauri, A Zanella, G Grasselli, A Pesenti
University of Milan, Milan, Italy
P305 Impact of electrolyte imbalance on prognosis in patients with aneurysmal subarachnoid haemorrhage: a retrospective study
CWY Tam, HP Shum
Pamela Youde Nethersole Eastern Hospital, Hong Kong, China
Parameters | Odds ratio | 95% confidence interval | P-value |
---|---|---|---|
Age>55 years old | 5.730 | 2.346-13.993 | <0.001 |
APACHE IV score>50 | 4.314 | 1.752-10.622 | 0.001 |
WFNS grade>3 | 2.747 | 1.067-7.072 | 0.036 |
Fisher grade>2 | 2.878 | 1.125-7.361 | 0.027 |
Presence of ICH/IVH | 4.055 | 1.603-10.259 | 0.003 |
Use of mannitol | 4.318 | 1.027-18.159 | 0.046 |
Use of loop diuretic | 6.022 | 1.994-18.189 | 0.001 |
Aneurysm involving posterior circulation | 3.882 | 1.435-10.499 | 0.008 |
Day1-11 Sodium>146mmol/L | 3.003 | 1.166-7.732 | 0.023 |
Received IR procedures | 0.276 | 0.114-0.669 | 0.004 |
P306 Effect of hyponatraemia recorded within the first 24 hours on length of stay
A McManus, P Morgan, A Myers, S Ali, T Samuels
Surrey and Sussex Healthcare NHS Trust, Redhill, UK
P307 Effect of hypernatraemia recorded within the first 24 hours on length of stay
A McManus, T Samuels, A Myers, P Morgan
East Surrey Hospital, Redhill, UK
P308 Auscultation for bowel sounds in patients with ileus: an outdated practice in the ICU?
SHW Van Bree1, NP Juffermans2
1OLVG, Amsterdam, Netherlands,2AMC, Amsterdam, Netherlands
Postoperative day 2 | Auscultation of bowel sounds | n = | |
---|---|---|---|
No | Yes | ||
GC = 0 (paralytic ileus) | 1 | 6 | 7 |
GC < 2 (no recovery of colonic transit) | 0 | 41 | 41 |
GC <= 2 (recovery of colonic transit) | 1 | 11 | 12 |
Author | Design | Patients | Outcome | Results (%) | Limitations |
---|---|---|---|---|---|
Gu, Dig Surg, 2010 | Prospective | A: healthy volunteers | Correct classification of bowel sounds | A: 78/54 | Electronic recordings |
B: intestinal obstruction | Sensitivity/PPV | B: 42/72 | Patient characteristics unknown | ||
C: postoperative ileus | C: 84/93 | Small selection of bowel recordings | |||
Felder, J Surg Education, 2014 | Prospective | A: healthy volunteers | Correct classification of bowel sounds | A: 32/23/59 | Electronic recordings |
B: intestinal obstruction | & reliability | B: 22/28/52 | |||
C: postoperative ileus | Sensitivity/PPV /intra-observer reliability | C: 22/44/53 | |||
Breum, World J Gastroenterol., 2015 | Prospective | Patient clinically suspected of bowel obstruction | Sensitivity, specificity, PPV and NPV | Sens.: 42; Spec.: 78 | Shorter duration of electronic recordings:: |
A: intestinal obstruction (n=37) | pathological bowel sounds | PPV: 48; NPV: 76 | 25 seconds | ||
B: without obstruction (n=61) | intestinal obstruction & inter-observer agreement | kappa-value: 0.29 (low) |
P309 Stress ulcer prophylaxis in critically ill patients; when to stop?
Y Kato, H Uchino, T Kaihara, T Fukuoka
Kurashiki Central Hospital, Kurashiki Okayama, Japan
P310 Much ado about cutting: an audit of care pathway and outcomes in patients undergoing emergency laparotomy
Z Whitman, M Charlton, J Parker, N Flint
Leicester Royal Infirmary, Leicester, UK
Senior review? | |||
---|---|---|---|
Yes | No | Total | |
Admitted to surgery | 18 (50%) | 18 (50%) | 36 |
Admitted to medicine | 6 (37.5%) | 10 (62.5%) | 16 |
Length of Stay | Mean | Median | |
---|---|---|---|
ICU | 8.2 | 3 | |
Medicine | Hospital | 24.9 | 12 |
Post-operative | 18.5 | 8 | |
ICU | 3.6 | 3 | |
Surgery | Hospital | 15.0 | 11 |
Post-operative | 13.8 | 8 |
P311 Injury caused by colorectal surgery: the role of proteins S100A
J Maca, P Ihnat, M Peteja, O Jor, P Reimer, P Sevcik
University Hospital od Ostrava, Ostrava, Czech Republic
P312 Effect of institutional case-volume on in-hospital mortality after living donor liver transplantation: analysis of 7440 cases between 2007 and 2016 in Korea
L Lim1, S Yoo1, E Jang2, G Kim3, H Ryu1
1Seoul National University College of Medicine, Seoul, South Korea,2Department of Information Statistics, Andong National University, Andong, South Korea,3Department of Statistics, Kyungpook National University, Daegu, South Korea
P313 Outcome after a liver transplantation surgery from infected deceased donors
N Fioravanti Postalli, T Kawagoe Alvarisa, P Travassos, R Vale, V Cordeiro veiga, A Ibrahim David, J Padilla, A Bernal Filho, A Gustavo Pereira, G Peron Junior, C Gritti, S Soriano Ordinola Rojas
Hospital BP - A Beneficência Portuguesa de São Paulo, Sao Paulo, Brazil
P314 Prevalence and prognostic value of abnormal liver test results in critically ill children and the impact of nutrition hereon
R Haghedooren1, M Jenniskens1, M Jenniskens1, F Guïza 1, S Verbruggen2, G Guerra3, K Joosten2, L Langouche1, G Van den Berghe1
1KU Leuven, Leuven, Belgium,2Erasmus-MC Sophia Childern’s Hospital, Rotterdam, Netherlands,3University of Alberta, Stollery Children’s Hospital, Edmonton, Canada
P315 Positive fluid balance is an independent risk factor for intensive care unit mortality in patients with acute-on-chronic liver failure
F Sousa Cardoso1, A Laranjo1, V Gamelas1, R Pereira1, L Bagulho1, P Fidalgo1, C Karvellas2
1Curry Cabral Hospital, Lisbon, Portugal,2University of Alberta Hospital, Edmonton, Canada
OR | P | Adjusted OR | P | |
---|---|---|---|---|
Fluid balance per day in ICU (liter) | 1.52 (1.03-2.26) | 0.037 | 1.61 (1.06-2.44) | 0.030 |
INR | 2.60 (1.20-5.62) | 0.016 | ||
Vasopressors | 0.97 (0.36-2.63) | 0.96 | ||
Renal replacement therapy | 5.16 (1.38-19.3) | 0.008 | ||
Model: n = 84; AUC (95%CI) = 0.78 (0.67-0.88) |
P316 The psoas muscle in critically ill patients with acute pancreatitis
P Turton1, R Hay1, A Sud2, R Sutton2, I Welters2
1Royal Liverpool University Hospital, Liverpool, UK,2University of Liverpool, Liverpool, UK
Level | Mean change in CSA (%) [SD] | 95% CI | P-value |
---|---|---|---|
Upper plate of L4 | -13.98 [11.83] | -19.36 to -8.60 | <0.001 |
Mid L4 | -10.14 [6.07] | -13.07 to -7.21 | <0.001 |
Lower plate of L4 | -11.21 [5.70] | -13.96 to -8.46 | <0.001 |
P317 Penta-therapy for severe acute hyperlipidemic pancreatitis: a retrospective chart review over a 10-year period
J Lu, Y Xie, J Du, M Kang, W Jin, H Xie, R Cheng, R Tian, R Wang
Shanghai General Hospital, Shanghai, China
P318 Energy requirements in patients with acute severe pancreatitis: comparison between indirect calorimetry and validated equations
E Salciute1, J Liucvaikyte2, A Klimasauskas2, G Kekstas2, J Sipylaite2
1Vilnius University Hospital Santaros clinics, Vilnius, Lithuania,2Faculty of Medicine, Vilnius University, Vilnius, Lithuania
P319 Energy expenditure measured by indirect calorimetry and provision of energy and protein for patients with acute severe pancreatitis
E Salciute1, J Liucvaikyte2, A Klimasauskas2, G Kekstas2, J Sipylaite2
1Vilnius University Hospital Santaros clinics, Vilnius, Lithuania, 2Faculty of Medicine, Vilnius University, Vilnius, Lithuania
P320 Efficacy and safety of TAK-954 in critically ill patients with enteral feeding intolerance: a randomized phase 2a clinical trial
M Chapman1, A Deane1, K Jones1, C Barnes2, D Nguyen2, C Almansa3
1University of Adelaide, Adelaide, Australia,2Theravance Biopharma US, Inc., South San Francisco, California, USA,3Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA
Intervention [TAK-954 0.5 mg; n = 7] n (%) | Control [n = 6; metoclopramide 10 mg] n (%) | |
---|---|---|
Total number of AEs | 8 | 5 |
Patients reporting at least 1 AEa | 5 (71.4) | 4 (66.7) |
Any moderate or severe AEs | 3 (42.9)b | 3 (50.0)c |
Any serious AEsd | 2 (28.6)e | 3 (50.0)f |
AEs leading to discontinuation | 0 (0) | 0 (0) |
Any AEs leading to drug interruption | 0 (0) | 0 (0) |
Deaths | 2 (28.6) | 3 (50.0) |
P321 Method to assess gastric emptying in the fed state in enterally tube fed patients: comparison of the paracetamol absorption test to scintigraphy
J James1, W Doll2, S Harris1
1Lyric Pharmaceuticals, Inc., South San Francisco, California, USA,2Scintipharma, Inc, Lexington, Kentucky, USA
P322 Association of energy adequacy with 28-day mortality in mechanically ventillated critically ill patients
M Haliloglu1, B Bilgili2, I Sayan2, H Ozcelik1, A Kekecoglu1, I Cinel2
1Yedikule Chest and Thoracic Surgery Training and Research Hospital, Istanbul, Turkey,2Marmara University, School of Medicine, Department of Anesthesiology and Reanimation, Istanbul, Turkey
P323 Nutritional risk in elderly patients undergoing emergency surgery
D Alampi, R Boninsegna
Sapienza University of Rome, Rome, Italy
P324 Early multidisciplinairy screening of dysphagia at admission to the emergency department – a pilot study
D Melgaard, L Sørensen, D Sandager, A Christensen, A Jørgensen, M Ludwig, P Leutscher
North Denmark Regional Hospital, Hjørring, Denmark
P325 Delivering nutrition targets in an intensive care unit – a quality improvement initiative
L Shanahan
Mater Misericordiae University Hospital, Dublin, Ireland
MMUH 2014 | All sites 2014 | MMUH 2011 | All sites 2011 | |
---|---|---|---|---|
% Energy target achieved | 79 | 58 | 62 | 64 |
% Protein target achieved | 75 | 54 | 59 | 60 |
P326 Monitoring energy demand in the multiple trauma critically ill patient with sepsis based on indirect calorimetry. a prospective observational monocentric study
O Bedreag, A Rogobete, C Cradigati, M Sarandan, C Mihoc, S Popovici, D Sandesc
Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
P327 Measuring changes in muscle mass during critical illness: d3-creatine dilution
W. Evans1, J. James2
1University of California, Berkeley, Berkeley, California, USA,2Lyric Pharmaceuticals, Inc, South San Francisco, California, USA
P328 Enteral nutrition (EN) enriched with ω3 fatty acids modulates systemic inflammatory balance and cytokines after poor grade subarachnoid haemorrhage (SAH)
M Casadio1, M Zanello2, V Chiarini3, E Mariani4
1IRCCS Neurological Sciences Institute of Bologna, Bellaria Hospital, Bologna, Italy,2IRCCS Neurological Sciences Institute of Bologna, Bellaria Hospital, University of Bologna, Bologna, Italy,3University of Bologna, Bologna, Italy,4IRCCS Rizzoli Institute, Bologna, Italy
P329 The impact of supplemental parenteral nutrition early during critical illness on invasive fungal infections: a secondary analysis of the epanic randomised controlled trial
G De Vlieger, C Ingels, PJ Wouters, Y Debaveye, I Vanhorebeek, J Wauters, A Wilmer, MP Casaer, G Van den Berghe
KULeuven, Leuven, Belgium
Early-PN (n=2,312) | Late-PN (n=2,328) | p-value | |
---|---|---|---|
ICU-acquired IFI | 112 (4.84%) | 77 (3.31%) | 0.008 |
Antifungal drug cost | 440.1 € (SE 52.8) | 260.4 € (SE 52.6) | 0.02 |
Late-PN versus Early-PN | 95% confidence interval | p-value | |
---|---|---|---|
ICU-acquired IFI | Adjusted OR 0.67 | 0.49-0.92 | 0.01 |
Likelihood for acquiring an IFI at any time | Adjusted HR 0.71 | 0.53-0.94 | 0.02 |
P330 Vitamin C supplementation in the critically ill: systematic review and meta-analysis
P Laferriere-Langlois1, F Lamontagne1, W Manzanares2
1CHUS, Sherbrooke, Canada,2Hospital de Clinicas, Montevideo, Uruguay
P331 Achieved adequacy for energy - what about protein?
AM Young, T Vassalos
Golden Jubilee National Hospital, Clydebank, UK
Patients | 216 |
---|---|
Received >80% requirements | 68% (n=146) |
Males | 64% (n=93) |
Age (yrs) | 61.3±15.3 |
BMI (kg/m2) | 27.3±5.5 |
BMI >=30kg/m2 | 23% (n=34) |
Days fed | 11 (3 -51) |
Mortality | 15.7% (n=23) |
P332 Energy requirements of the critically ill patient during the first week
R Marinho1, R Sousa2, R Sousa2, M Lopes1, M Santos3, A Marinho1
1Centro Hospitalar do Porto, Porto, Portugal,2Instituto de Ciencias Biomedicas Abel Salazar, Porto, Portugal,3Faculdade de Ciências da Nutrição e Alimentação da Universidade do Porto, Porto, Portugal
P333 Association between modified nutric score and clinical outcome in Thai critically ill patients
S Taesotikul1, N Thanintara-arj2, V Saifah2, V Tangsujaritvijit3, B Chindavijak2, P Dilokpattanamongkol2
1Faculty of Pharmacy, Mahidol University, Department of Pharmacy, Bangkok, Thailand, 2Faculty of Pharmacy, Mahidol University, Bangkok, Thailand, 3Faculty of Medicine Ramathibodi Hospital, Mahidol University, Department of Medicine, Bangkok, Thailand
P334 Comparison of nutric score, nutritional risk screening (NRS) 2002 and subjective global assessment (SGA) in the ICU: a cohort study
S Saseedharan1, EJ Pathrose1, DR Karnad2, AT Patil1
1S L Raheja Hospital, Mumbai, India,2Jupiter Hospital, Thane, India
P335 Nitrogen balance in postoperative cancer patients in ICU
CR Lordani1, IR Porto1, RG Eckert2, NM Valerio1, T Lordani1, RC Schimidt2, AC Jorge1, P Duarte1
1Hospital Universitario do Oeste do Parana, Cascavel, Brazil,2Hospital do Câncer/UOPECCAN, Cascavel, Brazil
P336 After the ICU: the nutritional desert. Adequacy of nutritional therapy during and after ICU stay
MCM Piérar, J Demol, C Verhelst, I Passia, HD Spapen, MLN Malbrain, E De Waele
Department of Intensive Care UZ Brussel, Brussels, Belgium
P337 Both the immediate and delayed inflammatory responses in all major organs are reduced by single dose 17β-estradiol following severe burn injury
JG Wigginton, PE Pepe, KR AbdelFattah, JW Gatson, AH Idris, V Warren, JP Minei, DL Maass
UT Southwestern Medical Center, Dallas, Texas, USA
P338 Early, single-dose estrogen increases levels of brain-derived neurotrophic factor (BDNF), a neurotrophin for neuronal survival and neurogenesis following indirect brain inflammation caused by severe torso burns
JG Wigginton, PE Pepe, KR AbdelFattah, JW Gatson, AH Idris, V Warren, JP Minei, DL Maass
UT Southwestern Medical Center, Dallas, Texas, USA
P339 The value of cortisol in patients with the infection and multiple organ dysfunction.
S Tachyla, A Marochkov
Mogilev Regional Hospital, Mogilev, Belarus
P340 Cortisol profiles in the critically ill after cardiac surgery
B Gibbison1, C Rogers1, J Evans1, K Stevenson1, G Angelini1, S Lightman2
1University of Bristol/University Hospitals Bristol NHS Trust, Bristol, UK,2University of Bristol, Bristol, UK
P341 The glucocorticoid receptor in the liver plays a key role in cortisol homeostasis and survival from sepsis
M Jenniskens, R Weckx, T Dufour, S Vander Perre, L Pauwels, S Derde, F Güiza, G Van den Berghe, L Langouche
KU Leuven, Leuven, Belgium
P342 Upregulation of cortisol in sepsis and its association with markers of hemostatic dysregulation
A Walborn, S Walborn, D Hoppensteadt, P Maia, R Green, G Wegryzn, M Mosier, J Fareed
Loyola Univeristy Medical Center, Maywood, Illinois, USA
P343 Clinical features and probability of adrenal insufficiency in patients who were transported to an emergency department with hypoglycemia
T Kawahara, M Furuya, N Tominaga, M Toda, N Toyama, S Kondo
Shinkomonji Hospital, Kitakyushu, Japan
P344 Thyroid hormone levels and their prognosis in septic patients
MV De La Torre-Prados, A García-de la Torre, P Nuevo-Ortega, E Cámara-Sola, T Tsvetanova-Spasova, A Fernández-Porcel, C Rueda-Molina, L Salido-Díaz, I Mateos-Rodríguez, I García-Gómez, AM Sánchez-García
Hospital Universitario Virgen de la Victoria, Málaga, Spain
P345 Observational study to evaluate short and long-term bone metabolism alteration in critical patients.
M Cozzolino1, G Marcucci2, M Andrisani1, A Cecchi1, A Franci1, ML Brandi2, A Peris1
1A.O.U. Careggi, Florence, Italy,2University of Florence, Florence, Italy
P346 A retrospective analysis of predictors for length of intensive care stay for patients admitted with diabetic ketoacidosis
A Fung, TL Samuels, AE Myers, PG Morgan
East Surrey Hospital, Redhill, UK
P347 Maximal glycemic gap is the best glycemic variability index correlated to ICU mortality in medical critically ill patients
T Issarawattna, R Bhurayanontachai
Prince of Songkla University, Songkla, Thailand
Characteristics | Survivor | Non survivor | p-value |
---|---|---|---|
Number of patient (n (%)) | 442 (82.2) | 96 (17.8) | |
Age (Median, IQR) | 65 (51,79) | 66 (51,75) | 0.77* |
Male (n (%)) | 231 (52.3) | 60 (62.5) | 0.09 |
Diabetes mellitus (n (%)) | 101 (24.9) | 20 (20.8) | 0.48 |
APACHE II | 18 | 23 | <0.01* |
Insulin administration (n (%)) | 78 (17.6) | 26 (27.1) | 0.05 |
Hypoglycemia (n (%)) | 31 (7.0) | 12 (1.5) | 0.11 |
Glycemic variability (Median, IQR) | Survivor | Non survivor | p-value |
---|---|---|---|
Maximal glycemic gap | 66.5 (39.0,113.8) | 112 (70.5,177.0) | <0.01 |
Coefficient of variation | 0.2 (0.1,0.3) | 0.3 (0.2,0.4) | <0.01 |
Standard deviation | 26.2 (15.8,40.3) | 40.3 (25.8,61.5) | <0.01 |
J - index | 27.1 (7.5,177.7) | 40.0 (10.2-177.8) | <0.01 |
P348 Reliability of capillary blood glucose measurement for diabetic patients in emergency department
H Ben Turkia, S Souissi, A Souayeh, I Chermiti, F Riahi, R Jebri, B Chatbri, M Chkir
Regional Hospital of Ben Arous, Ben Arous, Tunisia
P349 Comparison of length of stay and deep vein thrombosis incidents in critically ill patients
E Hanindito, P Airlangga, S Sulistiawan, N Rehatta
Dr. Soetomo Hospital, Surabaya, Indonesia
P350 Newly diagnosed onco-hematologic patients behaviour in the ICU
M Dos Santos Couto, F Coelho, A Jeronimo, F Faria
Instituto Português de Oncologia do Porto, Francisco Gentil, E.P.E., Porto, Portugal
P351 Trends in patient characteristics and outcomes of cancer patients admitted to the ICU of a tertiary teaching hospital in the U.S.
CM Sauer1, LA Celi2, D Ramazzotti3
1Harvard School of Public Health, Boston, Massachusetts, USA,2Massachusetts Institute of Technology, Cambridge, Massachusetts, USA,3Stanford University, Palo Alto, California, USA
Variables | Level | Without Cancer | Hematological malignancy | Solid malignancy | Double malignancy | p-value |
---|---|---|---|---|---|---|
Case number | 36,466 | 1,100 | 3,953 | 49 | ||
Age at admission (mean (sd)) | 63.8(17.8) | 65.3(16.4) | 65.8(13.6) | 69.9(12.7) | <0.001 | |
Proportion with DNR (mean (sd)) | 0.06 (0.24) | 0.08(0.27) | 0.10(0.29 | 0.08(0.27) | <0.001 | |
Race (%) | Non-White | 10292 (28.3) | 249(22.6) | 974(24.6) | 10(20.4) | <0.001 |
White | 26074(71.7) | 851(77.4) | 2979(75.4) | 39(79.6) | ||
Length of stay ICU (mean (sd)) | 4.59(6.09) | 5.38(7.15) | 4.19(5.30) | 4.00 (3.34) | <0.001 | |
Length of stay Hospital (mean (sd)) | 9.28 (8.72) | 14.71(15.19) | 10.05(8.32) | 10.98(10.01) | <0.001 | |
Any duration of ventilation (%) | No | 18185(50.0) | 630(57.3) | 2254(57.0) | 29(59.2) | <0.001 |
Yes | 18181(50.0) | 369(33.5) | 990(25.0) | 11(22.4) | ||
Any use of vasopressors (%) | No | 23938(65.8) | 731(66.5) | 2963(75.0) | 38(77.6) | <0.001 |
Yes | 12428(34.2) | 369(33.5) | 990(25.0) | 11 (22.4) | ||
Elixhauser SID30 score (mean (sd)) | 8.76(11.09) | 17.57(11.78) | 19.41(13.02) | 23.88(12.37) | <0.001 | |
SOFA score (mean (sd)) | 3.27(2.50) | 4.56(3.01) | 3.32(2.66) | 3.39(2.86) | <0.001 | |
APACHE III score (mean (sd)) | 42.03(19.42) | 50.39(22.09) | 44.51(20.31) | 46.73(23.27) | <0.001 | |
OASIS score (mean (sd)) | 31.35(8.97) | 32.51(8.96) | 31.15(9.51) | 31.18(9.89) | <0.001 | |
28-day Mortality (%) | Alive | 31726(87.2) | 795(72.3) | 2810(71.1) | 46(73.5) | <0.001 |
Dead | 4640(12.8) | 305(27.7) | 1143(28.9) | 13(26.5) | ||
1-year Mortality (%) | Alive | 27988(77.0) | 521(47.4) | 1533(38.8) | 20(40.8) | <0.001 |
Dead | 8378(23.0) | 579(52.6) | 2420(61.2) | 29(59.2) |
P352 Predictive accuracy of sepsis scores in hematological patients
L Probst, M Kochanek, A Shimabukuro-Vornhagen, M Von Bergwelt, J Vehreschild, J Prinz, B Böll
University Hospital Cologne, Cologne, Germany
Hematological patients (n=186) | SIRS | Δ SOFA | qSOFA |
---|---|---|---|
Sensitivity (%) | 88.5 | 58.3 | 18.9 |
Specificity (%) | 21.4 | 70.6 | 94.7 |
PPV (%) | 53.8 | 71.0 | 77.8 |
NPV (%) | 64.3 | 57.8 | 54.5 |
Hazard ratio (HR) | 0.589 | 3.258 | 2.874 |
Mortality, No. (%) | Septic patients (n=96) | Non-septic patients (n=90) |
---|---|---|
SIRS ≥ 2 | 17 (22.1), n=77 | 10 (15.2), n=66 |
SIRS < 2 | 5 (50.0), n=10 | 4 (22.2), n=18 |
∆ SOFA ≥ 2 | 20 (40.8), n=49 | 7 (35.0), n=20 |
∆ SOFA < 2 | 4 (11.4), n=35 | 6 (12.5), n=48 |
qSOFA ≥ 2 | 6 (42.9), n=14 | 3 (75.0), n=4 |
qSOFA < 2 | 14 (23.3), n=60 | 9 (12.5), n=72 |
P353 Enoxaparin pharmacokinetics in patients with augmented renal clearance, preliminary results of a single center study
A Ramos1, A Dogliotti2, N Pires1, C Lovesio1, D Latasa1, M Perezlindo1, F Acharta1
1Sanatorio Parque, Rosario, Argentina,2Grupo Oroño, Rosario, Argentina
P354 Retrospective review of argatroban use and dosing in critical care
T Freeman, S Khorsid, A Retter
St Thomas’ Hospital, London, UK
Standard Regimen (n=5) | Reduced dose regimen (n=11) | |
---|---|---|
Argatroban dose at stabilisation (mcg/kg/min) | 0.59 | 1.06 |
Median time to first APTR in range (hours) | 2 | 7 |
Median Time to stable APTR (hours) | 23 | 16 |
Episodes of bleeding | 0 | 2 |
P355 Haemostatic effects of therapeutic plasma-exchange in non-coagulopathic patients
M Popescu, D Tomescu
Fundeni Clinical Institute, Bucharest, Romania
P356 Anaemia in the ICU - impact of phlebotomy
M Mackovic, N Maric, N Udiljak, M Bakula
Clinical Hospital Sveti Duh, Zagreb, Croatia
P357 Red blood cell transfusion in critically ill patients with traumatic brain injury: an international survey of physicians’ attitudes
P Lessard Bonaventure, F Lauzier, A Boutin, M Schemilt, R Zarychanski, M Saxena, P Zolfaghari, D Griesdale, D Menon, S Stanworth, S English, M Chassé, D Fergusson, A Turgeon
CHU de Québec-Université Laval, Québec, Canada
P358 A retrospective audit of massive transfusion practices at a tertiary metropolitan hospital
S Pawar, TC Chirakija, KD Deshpande
St George Hospital, Sydney, NSW, Australia
P359 Changing trends in transfusion practice during first-time coronary artery bypass grafting over 15 years (2002-2017)
H Cauwenberghs, H Day, L Kuppurao
Royal Brompton and Harefield Hospital NHS Foundation Trust. Harefield Hospital London, Harefield, UK
P360 Predictors of red blood cell transfusion in cardiac surgery patients
D Ringaitiene, L Puodziukaite, V Vicka, D Gineityte, J Sipylaite
Department of Anesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
P361 Influence of postoperative red blood cell transfusion on late mortality in cardiac surgery patients
D Ringaitiene, L Puodziukaite, V Vicka, D Gineityte, J Sipylaite
Department of Anesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
P362 Blood transfusions in the intensive care setting: an audit of prescribing and administering practices
N Kalyal, C Ward, A Ankuli, T Bolonenkova, A Molokhia
Lewisham and Greenwich NHS Trust, London, UK
P363 Thromboelastometry versus standard coagulation tests versus restrictive protocol to guide blood transfusion prior to central venous catheterization in cirrhosis: a randomized controlled trial
LL Rocha, A Serpa Neto, CM Pessoa, RF Chaves, T Crochemore, E Silva, LR Ferraz, TD Correa
Hospital Israelita Albert Einstein, Sao Paulo, Brazil
P364 Prophylactic fibrinogen concentrate reduces postoperative bleeding in pediatric cardiac surgery: a randomized clinical trial
L Lima, L Hajjar, L Camara, F Ferreira, L Galas, M Sundin, J Jardim, F Galas
Heart Institution, Sao Paulo, Brazil
P365 The effect of intravenous desmopressin in coagulation profile of patients undergoing valve surgery: a randomized clinical study
G Santana, L Hajjar, L Camara, M Piccioni, L Galas, F Galas
Heart Institution, Sao Paulo, Brazil
P366 Identifying the impact of hemostatic resuscitation on development of multiple organ failure using factor analysis: results from a randomized trial using first-line coagulation factor concentrates or fresh-frozen plasma in major trauma (RETIC study)
P Innerhofer1, D Fries1, M Mittermayr1, N Innerhofer1, D Von Langen1, T Hell2, P Würtinger3, E Oswald1
1Medical University Innsbruck, Innsbruck, Austria,2University of Innsbruck, Innsbruck, Austria,3University Hospital Innsbruck, Innsbruck, Austria
Concentration | Clot | Hypoperfusion | |
---|---|---|---|
coagulation factors | 0.56 to 0.91 | ||
Fibrinogen | 0.69 | 0.31 | |
Platelets | 0.55 | 0.34 | |
ROTEM | -0.37 to 0.97 | ||
APC | 0.52 | ||
Syndecan-1 | 0.96 | ||
Thrombomodulin | 0.39 | 0.31 |
P367 Early prediction of the need for emergent blood product transfusion in trauma: can we do better ?
F Swerts1, PY Mathonet1, A Ghuysen1, V D’Orio1, JM Minon2, M Tonglet1
1CHU de Liège, Liège, Belgium,2CHR de la Citadelle, Liège, Belgium
PPV | NPV | |
---|---|---|
TICCS >= 10 | 66.6 % | 88.0% |
TICCS.BE >= 14 | 81.25% | 89.1% |
TASH >= 16 | 90.0% | 87.1% |
P368 Influence of antioxidant therapy with high dose of vitamin c on mortality rates in critically ill polytrauma patients
A Rogobete1, O Bedreag1, C Cradigati2, M Sarandan2, S Popovici1, D Sandesc1
1Victor Babes University of Medicine and Pharmacy, Timisoara, Romania,2Emergency County Hospital "Pius Brinzeu" Timisoara, Timisoara, Romania
P369 Diagnostics of coagulation disorders during different stages of traumatic disease
I Basekno, O Tarabrin, D Sazhyn, Y Potapchuk, P Tarabrin
Odessa National Medical University, Odessa, Ukraine
P370 Tranexamic acid in pediatric trauma
JM Thomson, HM Drone, JL Jantzer, AK Tsai, JT Jancik
Hennepin County Medical Center, Minneapolis, Minnesota, USA
Received TXA (N = 20) | No TXA (N = 15) | P-value | |
---|---|---|---|
Age (years) | 15 (10-16) | 5 (4-13) | 0.001 |
Gender, N (%) male | 16 (80) | 8 (53) | 0.09 |
ISS | 29 (24-46) | 32 (21-43) | 0.9 |
Injury type, N (%) blunt | 15 (75) | 12 (80) | 0.73 |
Received TXA (N = 20) | No TXA (N = 15) | P-value | |
---|---|---|---|
Survival to discharge, N (%) | 13 (65) | 11 (73) | 0.6 |
Packed red blood cells (mL/kg) | 18.7 (12.6-28.2) | 27.2 (17.4-41.7) | 0.4 |
Total blood products (mL/kg) | 25.0 (15.9-50.1) | 39.9 (23.2-68.1) | 0.34 |
Surgical intervention, N (%) | 15 (75) | 13 (87) | 0.39 |
Thrombosis, N (%) | 3 (15) | 3 (20) | 0.7 |
Length of stay (days) | 9 (2-17) | 14 (4-32) | 0.28 |
P371 Withdrawn
P372 Retrospective 5-years evaluation of vena cava inferior filter placement in patients with pelvic fractures at level 1 trauma center
E Semenas, J Almström
Department of Surgical Sciences/Anaesthesiology and Intensive Care Medicine, Uppsala, Sweden
Age, median (min-max) years | 59 (21-80) |
---|---|
Male/Female | 22/12 |
Type of injury | |
Isolated pelvic injury | 13 (38%) |
Head injury | 10 (29%) |
Thoracic injury | 14 (42%) |
Extremities injury | 15 (44%) |
Polytrauma | 21 (62%) |
Total number of patients (n=11) | |
---|---|
Deep venous thrombosis | 1 |
Lung embolism | 1 |
Inferior v.cava thrombosis | 2 |
Failed extraction of filter | 2 |
P373 The impact of preinjury antiplatelet and anticoagulant pharmacotherapy on outcomes in patients with major trauma admitted to intensive care unit (ICU)
M Cozzolino, S Jaeger, S Batacchi, A Franci, F Socci, G Fulceri, M Bonizzoli, A Peris
A.O.U. Careggi, Florence, Italy
Group A | Group B | Group C | p | |
---|---|---|---|---|
Age (years) | 48.11 ± 19.48 | 77.57 ± 8.01 | 74.41 ± 12.32 | p< 0.00001 |
CCI | 1.3 ± 1.7 | 4.43 ± 1.75 | 4.23 ± 1.92 | p<0.00001 |
ISS | 31.26 ± 13.79 | 31.08 ± 11.26 | 33.63 ± 14.96 | ns |
SAPS II | 37.49 ± 17.17 | 54.05 ± 17,74 | 48.90 ± 17.63 | p<0.00001 |
P374 Is enzymatic debridement better in critically burned patients?
N Cáceres Giménez, C Gutierrez Mavarez, K Nanwani Nanwani, J Cantero Escribano, B Civantos Martin, J Martínez Méndez, A Garcia de Lorenzo
Hospital Universitario La Paz, Madrid, Spain
P375 Activity of the serum cholinesterase correlates with the length of the ICU stay following polytrauma
AR Zivkovic1, K Schmidt1, T Stein2, M Münzberg2, T Brenner1, MA Weigand1, S Kleinschmidt2, S Hofer3
1Heidelberg University Hospital, Heidelberg, Germany,2BG Trauma Center Ludwigshafen/Rhine, Ludwigshafen, Germany,3Westpfalz Hospital, Kaiserslautern, Germany
P376 Pharmacological interventions for agitation in traumatic brain injury: a systematic review
D Williamson 1, AJ Frenette1, M Perreault2, L Burry3, E Charbonney 1, F Lamontagne4, MJ Potvin1, JF Giguère1, S Mehta3, F Bernard1
1Hôpital du Sacré-Coeur de Montréal, Montreal, Canada,2Université de Montréal, Montréal, Canada,3Mount Sinai Hospital, Toronto, Canada,4Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
P377 Impact of decompressive craniectomy on neurological functional outcome in critically ill adult patients with severe traumatic brain injury: a systematic review and meta-analysis
P Bonaventure, JA Jamous, F Lauzier, R Zarychanski, C Francoeur, A Turgeon
CHU de Québec – Université Laval, Québec, Canada
P378 Factors influencing the decision to monitor intracranial pressure in traumatic brain injury. A large monocentric study
F Fossi1, C Robba2, M Rota3, A Vargiolu3, D Lagravinese4, PC Volpi1, G Citerio3
1Università degli Studi Milano Bicocca, Monza, Italy,2Addenbrooke’s Hospital, Cambridge, UK,3San Gerardo Hospital, Monza, Italy,4IRCCS Ospedale San Raffaele, Milano, Italy
ICP monitoring | No ICP monitoring | OR (95% CI) | p-value | |
---|---|---|---|---|
GCS Mild | 42 (10%) | 91 (22%) | 1 (Reference) | <0.0001 |
GCS Moderate | 83 (19%) | 90 (22%) | 2.00 (1.25-3.20) | |
GCS Severe | 317 (72%) | 234 (56%) | 2.94 (1.96-4.39) | |
IMPACT < 25% | 59 (13%) | 124 (30%) | 1 (Reference) | <0.0001 |
IMPACT >25% and <75% | 257 (58%) | 191 (46%) | 2.83 (1.97-4.06) | |
IMPACT > 75% | 81 (18%) | 58 (14%) | 2.94 (1.86-4.64) | |
Unfavourable outcome | 235 (53%) | 159 (38%) | 2.09 (1.57-2.78) | <0.0001 |
ICP monitoring | No ICP monitoring | OR (95% CI) | p-value | |
---|---|---|---|---|
Marshall CT classification: I | 5 (1%) | 52 (13%) | 1 (Reference) | <0.0001 |
Marshall CT classification: II | 114 (26%) | 209 (50%) | 5.67 (2.20-14.60) | |
Marshall CT classification: III | 37 (8%) | 28 (7%) | 13.74 (4.85-38.91) | |
Marshall CT classification: IV | 8 (2%) | 11 (3%) | 7.56 (2.08-27.56) | |
Marshall CT classification: V | 251 (57%) | 84 (20%) | 31.08 (12.01-80.38) | |
Marshall CT classification: VI | 27 (6%) | 31 (7%) | 9.06 (3.16-25.96) | |
SAH: no | 157 (36%) | 195 (47%) | 1 (Reference) | 0.0008 |
SAH: yes | 285 (64%) | 220 (53%) | 1.60 (1.22-2.11) |
P379 Trajectories of early secondary insults after traumatic brain injury: a new approach to evaluate impact on outcome.
PC Volpi1, C Robba2, M Rota1, A Vargiolu1, G Citerio1
1Ospedale San Gerardo, Monza, Italy,2Addenbrooke’s Hospital, Cambridge, UK
-
"sustained" if present on the scene of accident and at hospital admission,
-
"resolved" if present on the scene but resolved in ED,
-
"new event" if absent on the scene and present in ED,
-
"none" if no insults were recorded.
P380 Experience with 23.4% sodium chloride for the management of intracranial hypertension in pediatric patients
AR Birmingham, JL Jantzer, JT Jancik
Hennepin County Medical Center, Minneapolis, Minnesota, USA
P381 The assistance of optic nerve sonography in evaluating patients with mild head trauma
YT Lou1, C Chen2, Y Lin2
1E-DA Hospital, I-Shou University, Kaohsiung, Taiwan,2Kaohsiung Medical University, Kaohsiung, Taiwan
P382 A correlation between YKL-40 concentrations in cerebrospinal fluid and Marshall classification in traumatic brain injury – preliminary results
G Pavlov1, M Kazakova1, P Timonov1, K Simitchiev2, C Stefanov1, V Sarafian1
1Medical University - Plovdiv, Plovdiv, Bulgaria,2University of Plovdiv, Plovdiv, Bulgaria
P383 Cerebral autoregulation modifies electroencephalography power during intracranial hypertension events
L Prisco1, A Vargiolu2, A Patruno2, G Citerio3
1Oxford University Hospitals NHS Foundation Trust, Oxford, UK,2Ospedale San Gerardo, ASST, Monza, Italy,3University of Milan Bicocca, Milan, Italy
Subject Age (Years) | Marshall CT on admission | GOSE ICU, 6 & 12 months | N of IH events |
---|---|---|---|
70 | 5 | 2, 1, n/a | 5 |
79 | 5 | 3, 1, n/a | 2 |
36 | 5 | 2, 2, 2 | 3 |
61 | 5 | 4, 5, 5 | 0 |
59 | 2 | 3, 3, 4 | 5 |
Autoregulation | Correlation coefficient R | P | 95% CI |
---|---|---|---|
Preserved | -0.1967 | 0.001 | -0.309 to -0.079 |
Impaired | 0.0287 | 0.544 | -0.064 to 0.121 |
P384 Esophageal temperature management in patients suffering from traumatic brain injury
F Bhatti 1, M Naiman2, AV Tsarev3, E Kulstad4
1Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK,2University of Illinois, Chicago, Illinois, USA,3Dnipropetrovsk Medical Academy of the Health Ministry of the Ukraine, Dnipropetrovsk, Ukraine,4The University of Texas, Southwestern Medical Centre, Dallas, Texas, USA
P385 Traumatic brain injury in Modena: 3 year experience of 6 months follow-up
F Mosca1, S Rinaldi2, F Ragusa3, V Ferrari4, A Marudi2, E Bertellini1
1Azienda ospedaliera universitaria Policlinico di Modena, Modena, Italy,2Ospedale Civile Sant’Agostino, Baggiovara (MO), Italy,3Ulss 9 Marca Ospedal Cà Foncello, Treviso, Italy,4Univeristà di Modena e Reggio emilia, Modena, Italy
hospital outcome | no aniscoria | anisocoria | missing data anisocoria | n° |
---|---|---|---|---|
resigned | 37 | 7 | 4 | 48 |
deceased | 2 | 5 | 0 | 7 |
missing data outcome | 6 | 0 | 2 | 8 |
n° | 45 | 12 | 6 | 63 |
QOLIBRI-OS | daily life activities impairment | no daily life activities impairment | work impairment | no work impairment |
---|---|---|---|---|
75 | 0 | 1 | 1 | 0 |
79.17 | 1 | 3 | 1 | 3 |
91.67 | 0 | 1 | 0 | 1 |
100 | 0 | 4 | 0 | 4 |
TOTAL | 1 | 9 | 2 | 8 |
P386 Moderate hyperventilation of short duration does not change cerebral metabolism in patients with severe traumatic brain injury
G Brandi1, A Pagnamenta2, P Steiger1, S Klinzing1
1University hospital of Zurich, Zurich, Switzerland,2Ente Ospedaliero Cantonale, Bellinzona, Switzerland
n= 11 A | C | D | E | Sign. |
---|---|---|---|---|
PaCO2 kPa 5.01 (0.23) | 4.33 (0.24) | 4.12 (0.35) | 4.66 (0.37) | p<0.001 |
MAP mmHg 92 (10) | 93 (12) | 90 (10) | 94 (13) | p=0.4 |
CPP mmHg 77(9.0) | 85 (10) | 81 (14) | 80 (11) | p<0.05 |
ICP mmHg 16 (6) | 8 (6) | 10 (7) | 14 (6) | p<0.001 |
PbrO2 mmHg 32 (10) | 33 (10) | 30 (8) | 30 (8) | p<0.05 |
MFV right (cm/s) 81.0 (23) | 68.6(21.2) | 70.9 (20.5) | 76.8 (28.2) | p<0.05 |
MFV left (cm/s) 80.1 (22) | 65.6 (16.6) | 63.4 (14.9) | 75.3 (23.6) | p<0.001 |
Baseline (1h –A) | D+1h | D +2h | ||
---|---|---|---|---|
Brain glucose (mmol/L) | 1.53 (0.99)n=8 | 1.42 (0.69)n=9 | 1.40 (0.67) n=9 | p=0.48 |
Brain lactate (mmol/L) | 3.34 (1.05)n=8 | 3.48 (1.29)n=9 | 3.45 (1.45) n=9 | p=0.22 |
Brain pyruvate (umol/L) | 101.44 (38.31)n=8 | 99.65 (39.49)n=9 | 97.26 (44.72) n=8 | p=0.34 |
LP ratio | 34.25 (8.21)n=8 | 39 (17.73)n=9 | 37.5 (11.44) n=8 | p=0.5 |
P387 Outcome of pediatric patients six months after moderate to severe TBI - results of CREACTKids study from three PICU in Israel
I Lazar 1, O Duek1, V Knyazer1, Z Zonis2, Y Hoffmann2, J Ben-Ari3, A Hadash3, G Bertolini4, On Behalf of the CREACTIVE Consortium
1Soroka Medical Center and the Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel,2Galilee Medical Center, Nahariya, Israel,3Ruth Rappaport Children’s Hospital, Rambam Health Campus, Haifa, Israel,4Mario Negri Institute for Pharmacological Research, Ranica, Italy
P388 Analysis of external ventricular drainage associated infection in the neurosurgery ICU of the single tertiary level hospital
N Balciuniene, T Tamosuitis, U Dobrovolskyte
Lithuanian University of Health Sciences, Kaunas, Lithuania
P389 Preliminary report : decreasing incidence of delirium in surgical intensive care unit by maintaining target cerebral oxygen using regional cerebral oxygen saturation (rso2) during intraoperative major surgery
K Auksornchat1, K Kumwilaisak2
1Thammasat University, Prathumthani, Thailand,2King Chulalongkorn Memorial University, Bangkok, Thailand
P390 The SET score as a predictor of ICU length of stay and the need for tracheotomy in stroke patients who need mechanical ventilation
A Henein, N Suri, M Saad, E Attallah
Khoula Hospital, Muscat, Oman
Areas of assessment | situation | points |
---|---|---|
neurological function | dysphagia | 4 |
observed aspiration | 3 | |
GCSon admission <10 | 3 | |
brain stem | 4 | |
neurological lesion | space occupying cerebellar | 3 |
MCA infarction>2/3 | 4 | |
ICH>25 ml | 4 | |
diffuse lesion | 3 | |
hydrocephalus | 4 | |
general organ function/procedure | neurosurgical intervention | 2 |
additional respiratory disease | 3 | |
Pao2/Fio2>150 mmhg | 2 | |
APS of APACHEII>20 | 4 | |
LUNG IIJURY SCORE>1 | 2 |
MCA | Total 80 | 70 needed tracheotomy | 10 did not do tracheotomy |
spontaneous ICH | Total 30 | 16 needed tracheotomy | 14 did not need tracheotomy |
SAH | Total10 | 2 needed tracheotomy | 8 did not need tracheotomy |
Hydrocephalus | Total 6 | 4 needed tracheotomy | 4 did not need tracheotomy |
Brain stem hemorrhage | Total 8 | 8 needed tracheotomy | 0 did not need tracheotomy |
Diffuse lesion | Total 18 | 6 needed tracheotomy | 12 did not need tracheotomy |
P391 Venous thromboembolism prophylaxis among neurocritical care patients: what is current practice?
KM Sauro1, DJ Niven1, A Soo1, P Couillard1, A Kramer1, J Kromm1, D Zygun2, SM Bagshaw2, HT Stelfox1
1University of Calgary, Calgary, Canada, 2University of Alberta, Edmonton, Canada
P392 Prophylaxis of postoperative venous thromboembolism for cerebral aneurysm correction
V Cordeiro Veiga, LM Coscrato Junqueira, L Freitas, P Travassos, RT Vale, TK Alvarisa, J Caldas, S. Rojas
Hospital BP - A Beneficência Portuguesa de São Paulo, São Paulo, Brazil
P393 Early pharmacological thrombosis prophylaxis is not associated with hematoma expansion in patients with primary intracerebral hemorrhage
B Ianosi1, M Gaasch2, W Hackl1, M Kofler2, A Schiefecker2, L Huber1, R Beer2, V Rass2, P Rhomberg2, B Pfausler2, C Thomé2, E Schmutzhard2, E Ammenwerth1, R Helbok2
1UMIT - the health & life sciences university, Hall in Tirol, Austria,2Medical University of Innsbruck, Innsbruck, Austria
P394 Lack of evidence of increased mortality in patients with intracerebral hemorrhage admitted during the weekend
B Ianosi1, V Rass2, L Huber1, W Hackl2, M Kofler2, A Schiefecker2, M Gaasch2, R Beer2, P Rhomberg2, B Pfausler2, C Thomé2, E Schmutzhard2, E Ammenwerth2, R Helbok2
1UMIT - the health & life sciences university, Hall in Tirol, Austria,2Medical University of Innsbruck, Innsbruck, Austria
P395 Some characteristics of hormonal status in patients in the acute period after spontaneous intracerebral hemorrhage
L Tsentsiper, N Dryagina, E Kondratyeva, A Kondratyev
Russian Polenov’s Neurosurgical Institute, Sankt-Petersburg, Russia
P396 Impact of clevidipine on intracranial pressure in adults with intracranial hemorrhage
KA Elwood, TS Lam, HM Rhodes, JT Jancik
Hennepin County Medical Center, Minneapolis, Minnesota, USA
Perfusion Parameter (mm Hg) | Pre-Clevidipine | Post-Clevidipine | P-Value |
---|---|---|---|
Mean ICP | 11.31 | 11.69 | 0.837 |
Mean CPP | 77.53 | 69.88 | 0.004 |
Mean SBP | 149.88 | 136.41 | 0.001 |
P397 Intracranial hemorrhage in HELLP syndrome patients admitted to the ICU
T Yuyen, S Kongsayreepong, A Piriyapatsom
Department of Anesthesiology, Siriraj Hospital, Mahidol University, Bangkok, Thailand
P398 Systemic inflammatory response syndrome as predictor of poor outcome in non-traumatic subarachnoid hemorrhage patients
V Rass1, M Gaasch1, M Kofler1, A Schiefecker1, B Ianosi2, P Rhomberg1, R Beer1, B Pfausler1, E Gizewski1, C Thomé1, E Schmutzhard1, R Helbok1
1Medical University Innsbruck, Innsbruck, Austria,2Institute of Medical Informatics, Hall, Austria
P399 Subarachnoid hemorrhage outcomes in a large Brazilian cohort – a multicentric study
B Goncalves1, R Turon1, C Rynkowski2, N Lima2, F Miranda1, N Melo1, M Prazeres1, F Bozza3, P Kurtz1, C Righy1
1Instituto Estadual do Cerebro Paulo Niemeyer, Rio de Janeiro, Brazil,2Hospital Cristo Redentor, Porto Alegre, Brazil,3Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
N = 261 | |
---|---|
Female gender | 190 (73%) |
Median age | 55 (19-87) |
Poor grade (WFNS 4-5) | 70 (27%) |
Modified Fisher scale 3-4 | 176 (67%) |
Death | 46 (18%) |
Poor outcome (GOS 1-3) | 131 (50%) |
Complication | Frequency |
---|---|
Seizure | 26 (10%) |
Hydrocephalus | 89 (34%) |
Meningitis | 54 (21%) |
Rebleeding | 27 (10%) |
Pneumonia | 58 (22%) |
Sepsis/septic shock | 32 (12%) |
Delayed cerebral ischemia | 64 (25%) |
P400 Associated factors with brain tissue hypoxia in sah patients with protocolized brain oxygen optimization
V Rass1, D Solari2, M Gaasch1, B Ianosi3, M Kofler1, A Schiefecker1, J Miroz2, P Morelli2, R Beer1, B Pfausler1, C Thomé1, M Oddo2, R Helbok1
1Medical University Innsbruck, Innsbruck, Austria; 2Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland; 3UMIT: University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria
P401 Intracranial hemorrhage after thrombolysis for ischemic stroke: life threatening complication or irrational fear?
G Karlis1, N Magkas2
1General Hospital of Rodos, Rodos, Greece; 2Ippokrateion General Hospital, Athens, Greece
P402 Regional wall motion abnormalities and reduced global longitudinal strain is common in patients with subarachnoid hemorrhage and associated with markedly elevated troponin
K Dalla
Sahlgrenska University Hospital, Gothenburg, Sweden
P403 Off-label thrombolysis for ischemic strokes: the challenge to overcome guidelines
P Papamichalis1, V Zisopoulou1, E Dardiotis2, S Karagiannis1, D Papadopoulos1, T Zafeiridis1, A Pappa1, D Babalis1, E Neou1, I Staikos1, I Staikos1, A Skoura1, G Hadjigeorgiou2, A Komnos1
1General Hospital of Larissa, Larissa, Greece; 2University Hospital of Larissa, Larissa, Greece
P404 Neuron-specific-enolase as marker of acute brain injury and efficacy of therapy
V Artemenko1, A Budnjuk2, A Kartashov3
1MC INTO-SANA, Odessa, Ukraine; 2ONMedU, Odessa, Ukraine; 3Odessa Regional Hospital, Odessa, Ukraine
P405 N-terminal pro-brain natriuretic peptide as a bio-marker of the acute brain injury
N Dryagina, L Tsentsiper, A Kondratyev
Russian Polenov’s Neurosurgical Institute, Sankt-Petersburg, Russia
P406 Troponin level as a predictor of neurological outcome & mortality in acute ischemic strokes
E El gammal, M Soliman, M Mohamed, D Ragab
Cairo university, Cairo, Egypt
P407 Hyperkinetic disorder treatment using sevoflurane in patients with unresponsive wakefulness syndrome (UWS) and minimal conscience state (MCS)
E Kondratieva, N Lesteva, A Kondratiev, S Kondratyev
Polenov Neurosurgical Institute, Saint Petersburg, Russia
P408 15-year experience of using benzodiazepines in predicting outcomes and targeted treatment of patients in unresponsive wakefulness syndrome (UWS).
E Kondratieva
Polenov Neurosurgical Institute, Saint Petersburg, Russia
P409 Early identification of sepsis-associated encephalopathy with EEG is not associated with short-term cognitive dysfunction
C Maenhout1, L Ferlini1, I Crippa1, FS Taccone1, J Creteur1, H Slama1, P Peigneux2, N Gaspard1
1Erasme Hospital, 1000, Anderlecht, Belgium; 2Université Libre de Bruxelles - Neurosciences Institute, Bruxelles, Belgium
P410 Analysis of the training needs in Italian centers that use brain ultrasound in their daily practices: a descriptive, multicenter study
R Aspide1, M Pegoli1, G Morello2, G Varelli3, M Casartelli Liviero4, P Gritti5, F Zumbo6, F Bilotta7
1IRCCS ISNB Bellaria hospital, Bologna, Italy; 2ARNAS Garibaldi, Catania, Italy; 3Nuovo S.Chiara hospital, Pisa, Italy; 4University Hospital Borgotrento, Verona, Italy; 5Papa Giovanni XXIII hospital, Bergamo, Italy; 6Bufalini hospital AUSL Romagna, Cesena, Italy; 7"Sapienza" University, Roma, Italy
P411 Perinatal neurosurgical admissions to intensive care
C Nestor, R Hollingsworth, K Sweeney, R Dwyer
Beaumont Hospital, Dublin, Ireland
P412 Differential effects of bystander-performed chest compressions and prehospital advanced life support on out-of-hospital cardiac arrest outcomes
H Inaba1, Y Takei1, H Kurosaki1, K Ohta2, Y Myojo2, Y Wato3
1Kanazawa University Graduate SChool of Medicine, Kanazawa, Japan; 2Ishikawa Prefectural Central Hospital, Kanazawa, Japan; 3Kanazawa Medical University, Uchinada, Japan
P413 New protocol for start of chest compressions before definitive cardiac arrest improved survival from out-of-hospital cardiac arrest witnessed by emergency medical service
H Inaba1, H Kurosaki1, K Ohta2, Y Myojo2, Y Wato3
1Kanazawa University Graduate SChool of Medicine, Kanazawa, Japan; 2Ishikawa Prefecture Central Hospital, Kanazawa, Japan; 3Kanazawa Medical University, Uchinada, Japan
P414 Time to intubation during cardiac compressions, direct versus video laryngoscopy
S Arcioni1, J Borchard2, A Binks3
1Intensive Care, Liverpool Hospital, Liverpool, Sydney, Australia; 2Research Central, Wollongong Hospital, Wollongong, Australia; 3Anaesthesia, Wollongong Hospital, Wollongong, Australia
P415 Impact of phone CPR on ROSC outcome
A Giugni1, S Gherardi2, L Giuntoli1, A Monesi1, A Finelli1, G Gordini1
1Maggiore Hospital, Bologna, Italy; 2Bologna University, Bologna, Italy
Variable | No Phone-CPR | Phone-CPR | p-Value |
---|---|---|---|
Age (years) | 63.05 ± 16 | 60.85 ± 17 | 0.534 |
Male Sex (%) | 64.38 | 80.77 | 0.102 |
Charlson Comorbility Index | 2.9 ± 2.23 | 2.28 ±1.67 | 0.91 |
Cardiac Arrest-CPR interval (min) | 12 ± 8.7 | 3 ± 2.2 | <0.01* |
Cardiac Arrest-ROSC interval (min) | 27 ± 13 | 30 ± 17 | 0.52 |
Shockable Rhythm on ALS arrival (%) | 60.27 | 84.62 | 0.017* |
Coronary Reperfusion (%) | 47.82 | 43.33 | 0.699 |
Variable | No Phone-CPR | Phone-CPR | p-Value |
---|---|---|---|
Length of stay in ICU (days) | 7.4 ± 6.6 | 6.2 ± 4.6 | 0.41 |
Days of mechanical ventilation | 5.7 ± 5.6 | 4.5 ± 3.6 | 0.33 |
ICU mortality (%) | 32.87 | 23.08 | 0.953 |
Hospital mortality (%) | 6.25 | 5.88 | 0.953 |
6 months after cardiac arrest mortality (%) | 21.11 | 18.75 | 0.830 |
Overall mortality (%) | 51.36 | 50 | 0.897 |
Good recovery after 1 year | 67.31 | 75.00 | 0.607 |
P416 Early hemodynamic complications in cardiac arrest patients- a substudy of the TTH-48 study
J Hästbacka1, H Kirkegaard2, E Soreide3, FS Taccone4, I De Haas5, U Arus6, C Storm7, CA Sorensen5, CH Duez2, AN Jeppesen2, AM Grejs2, AI Larsen3, MB Skrifvars1
1University of Helsinki and Helsinki University Hospital, HUS, Finland; 2Aarhus University Hospital and Aarhus University, Aarhus, Denmark; 3Stavanger university Hospital, Stavanger, Norway; 4Erasme Hospital, Université libre de Bruxelles, Brussels, Belgium; 5Aalborg University Hospital and Clinical Institute, Aalborg University, Aalborg, Denmark; 6North Estonia Medical Centre, Tallinn, Estonia; 7Charité-Universitätsmedizin Berlin, Berlin, Germany
P417 Coronary angiographic findings after cardiac arrest in relation to ECG and comorbidity
R Lagedal, L Elfwén, M Jonsson, E Lindgren, D Smekal, L Svensson, S James, P Nordberg, S Rubertsson
Institution for surgical sciences, anaesthesia and intensive care, Uppsala, Sweden
ST-depression (157) | 23 (14,6) | 4 (2,5) | 6 (3,8) | 14 (8,8) |
Pathologic T-wave (38) | 8 (21,1) | 1 (2,6) | 3 (7,9) | 6 (15,8) |
RBBB5 (59) | 10 (16,9) | 1 (1,7) | 3 (5,1) | 9 (15,3) |
LBBB6 (108) | 20 (18,5) | 3 (2,0) | 3 (2,8) | 14 (13,0) |
Other (155) | 22 (14,2) | 4 (2,6) | 7 (4,5) | 19 (12,3) |
ECG (n=1133) | Main stem1 n(%) | 1 vessel1 n(%) | 2-3 vessel1 n(%) | Total occlusion n(%) |
---|---|---|---|---|
Normal | 13 (8.5) | 35 (22.9) | 44 (27.5) | 25 (16.3) |
ST elevation | 32 (6.8) | 198 (42.8) | 184 (39.8) | 242 (52.3) |
LBBB2 | 6 (5.5) | 12 (11.1) | 42 (38.9) | 20 (18.5) |
ST depression | 16 (10.2) | 38 (24.2) | 65 (41.4) | 40 (25.5) |
Pathologic T wave | 4 (10.5) | 8 (21.1) | 14 (36.8) | 13 (34.2) |
RBBB3 | 5 (8.5) | 17 (28.8) | 19 (32.2) | 14 (23.7) |
Other4 | 6 (3.8) | 40 (25.8) | 55 (35.5) | 42 (27.1) |
P418 Gender differences in coronary angiography findings after out-of-hospital cardiac arrest
E Lindgren1, R Lagedal1, L Elfwén2, M Jonsson2, D Smekal1, L Svensson2, S James3, P Nordberg2, S Rubertsson1
1Anaesthesiology and Intensive Care Medicine, Uppsala, Sweden; 2Karolinska Institute, Stockholm, Sweden,3Uppsala University, Uppsala, Sweden
Men N=1267 (76.9) | Women N=380 (23.1) | p value | |
---|---|---|---|
Age, mean, range | 66.5 (18-96) | 66.6 (18-96) | 0.867 |
ST-elev/LBBB* | 466 (39.8) | 127 (38.8) | 0.754 |
CAG | 543 (42.9) | 134 (35.3) | 0.009 |
-with PCI | 373 (68.7) | 85 (63.4) | 0.244 |
CAG when ST-elev/LBBB | 320 (68.7) | 82 (64.6) | 0.380 |
-with PCI | 241 (75.3) | 62 (75.6) | 0.956 |
1-year surv. | 622 (49.1) | 171 (45.0) | 0.577 |
p=0.008 | Men N=530 | Women N=133 |
---|---|---|
Normal | 88 (16.6) | 33 (24.8) |
Occlusions, No of vessels: | ||
1 | 188 (35.5) | 51 (38.3) |
2 | 109 (20.6) | 29 (21.8) |
3 | 104 (19.6) | 13 (9.8) |
LMCA stenosis | 41 (7.7) | 6 (4.5) |
Non conclusive | 0 | 1 (0.8) |
P419 Circadian variation of outcomes in out-of-hospital cardiac arrest of cardiac etiology
K Maekawa, M Hayakawa, T Yoshida, Y Itagaki, T Tsuchida, A Tomita, Y Honma, A Mizugaki, H Murakami, T Oyasu, T Saito, K Katabami, T Wada, H Sageshima, A Sawamura
Hokkaido University Hospital, Sapporo, Japan
P420 An alarm bell ignored: impact of availability of intensive care unit on outcome of out-of-hospital cardiac arrest
C Chen1, Y Yeh2, S Change2, P Lee2
1E-DA Hospital, I-Shou University, Kaohsiung, Taiwan; 2Kaohsiung Medical University Hospital/Kaohsiung Medical University, Kaohsiung, Taiwan
P421 Noninvasive monitoring during transport of OHCA. a step further towards early precision medicine for ROSC patients?
S Dziura, C Castroviejo, D De Longueville, M Bartiaux, S Malinverni
CHU Saint Pierre, Brussels, Belgium
P422 Implementation of a rescue and organ perfusion protocol after ohca: clinical experience and perspective
A Franci, G Di Tommaso, G Cianchi, ML Migliaccio, C Guetti, M Ciapetti, S Di Valvasone, M Bonizzoli, A Peris
Azienda Ospedaliero Universitaria Careggi, Firenze, Italy
P1 (%) | P2 (%) | |
---|---|---|
OHCA | 39 | 66 |
MCC | 20 (51) | 39 (59) |
ECLS | 4 (10) | 12 (18) |
PCA | 5 (13) | 22 (33)* p 0.02 |
NHBD | 4 (10) | 9 (14) |
Survival | 10 (26) | 14 (21) |
CPC 1-2 | 6 (15) | 11 (17) |
P423 Association of SOFA score with 12-month survival and healthcare costs after cardiac arrest.
PT Pekkarinen1, I Efendijev1, R Raj1, D Folger1, E Litonius1, R Laitio2, S Bendel3, S Hoppu4, T Ala-Kokko5, M Reinikainen6, MB Skrifvars1
1Helsinki University Hospital, Helsinki, Finland; 2Turku University Hospital, Turku, Finland; 3Kuopio University Hospital, Kuopio, Finland; 4Tampere University Hospital, Tampere, Finland; 5University of Oulu and Oulu University Hospital, Oulu, Finland; 6North Karelia Central Hospital, Joensuu, Finland
P424 Public opinion on cardiopulmonary resuscitation decision and outcome in out-of-hospital cardiac arrest patients – questionnaire study
TY Li1, HP Shum2, W Wong2, SF Wong2, GCK Wong1, KC Chan3, WW Yan2
1Queen Elizabeth Hospital, Hong Kong, Hong Kong; 2Pamela Youde Nethersole Eastern Hospital, Hong Kong, Hong Kong; 3Tuen Mun Hospital, Hong Kong, Hong Kong
P425 Metabolomic profile in ventricular fibrillation arrest and return of spontaneous circulation
E Locci1, G Karlis2, A Gulati3, A Noto1, F Rosa1, M Mura1, G Finco1, E D’Aloja1, P Scano1, T Xanthos4
1University of Cagliari, Cagliari, Italy; 2General Hospital of Rodos, Rodos, Greece; 3University of Chicago, Chicago, USA; 4European University Cyprus, Nicosia, Cyprus
P426 30-day survival and prediction of coronary disease after out-of-hospital cardiac arrest
J Higny1, C De Meester de Ravenstein2, E Schroeder1, A Guédès1, L Gabriel1, C Hanet1
1CHU UCL Namur, Yvoir, Belgium; 2Cliniques universitaires Saint-Luc, Brussels, Belgium
Variables | Univariate analysis (OR 95% CI) | P-value | Multivariate analysis (OR 95% CI) | P-value |
---|---|---|---|---|
Male gender | 0.53 (0.23-1.22) | 0.14 | ||
Age > 65 years | 2.09 (1.00-4.36) | 0.050 | ||
Convertible rhythm | 0.20 (0.09-0.45) | <0.001 | ||
Witnessed CA | 0.07 (0.03-0.17) | <0.001 | 0.13 (0.05-0.35) | <0.001 |
Shock | 4.30 (1.83-10.10) | <0.001 | 5.39 (1.60-18.13) | <0.001 |
ACS | 0.21 (0.09-0.45) | <0.001 | ||
Coronary angiography | 0.11 (0.05-0.26) | <0.001 | 0.15 (0.05-0.43) | <0.001 |
Variables | Patients with CAD | Patients without CAD | P-value |
---|---|---|---|
Male gender | 34 (85) | 14 (54) | 0.005 |
Age > 65 years | 28 (70) | 12 (46) | 0.054 |
Convertible rhythm | 28 (70) | 16 (61) | 0.48 |
Personal history of CAD | 26 (65) | 2 (8) | <0.001 |
Diabetes | 25 (63) | 7 (27) | 0.004 |
Dyslipidaemia | 25 (63) | 5 (19) | <0.001 |
≥ 2 CVRF | 36 (90) | 10 (38) | <0.001 |
P427 A novel prognostic model for the prediction of good neurological outcome after cardiac arrest
T Castermans, M Vander Laenen, M Vander Laenen, P Vanelderen, J Dens, F Jans, D Mesotten, C De Deyne, W Eertmans
Ziekenhuis Oost-Limburg, Genk, Belgium
P428 Outcomes of patients receiving therapeutic hypothermia at 34 degree celsius for non-traumatic OHCA
M Chia
Tan Tock Seng Hospital, Singapore, Singapore
P429 A strategy to effect neurologically-intact survival for children with out-of-hospital cardiac arrest
PE Pepe 1, PR Banerjee2, RA Vittone2, A Singh3, L Ganti3
1University of Texas Southwestern Medical Center, Dallas, USA; 2Polk County (Florida) Fire Rescue Department, Bartow, Florida, USA; 3University of Central Florida, Kissimmee, Florida, USA
P430 Improved outcomes with a bundled resuscitation technique to enhance venous return out of the brain and into the heart during cardiopulmonary resuscitation
PE Pepe 1, KA Scheppke2, PM Antevy2, D Millstone2, C Coyle 2, C Prusansky2, S Garay2, JC Moore3
1University of Texas Southwestern Medical Center, Dallas, USA; 2Palm Beach County, Florida, USA; 3University of Minnesota and Hennepin County Medical Center, Minneapolis, Minnesota, USA
P431 Total one-year healthcare costs of cardiac arrest patients treated in the intensive care unit
I Efendijev1, D Folger1, R Raj1, M Reinikainen2, PT Pekkarinen1, E Litonius1, MB Skrifvars1
1University of Helsinki and Helsinki University Hospital, Helsinki, Finland; 2North Karelia Central Hospital, Joensuu, Finland
P432 Epidemiology and outcomes from out-of-hospital cardiac arrests in Kaunas (Lithuania) in 2016
A Krikscionaitien1, P Dobozinskas1, L Darginavicius1, N Jasinskas1, N Balciuniene1, J Vencloviene2, E Vaitkaitiene1, D Vaitkaitis1
1Lithuanian University of Health Sciences, Kaunas, Lithuania; 2Vytautas Magnus University, Kaunas, Lithuania
P433 Outcomes of patients admitted to intensive care following cardiac arrest
J McLoughlin, E Landymore, P Morgan
East Surrey Hospital, Surrey, UK
P434 A retrospective analysis of the effects of opioids and ketamine on the survival and neurological status of patients in the postresuscitation period
A Konkayev1, V Kuklin2, N Akhatov3, M Konkayeva1
1Astana Medical University, Astana, Kazakhstan; 2Akerhus university hospital, Oslo, Norway; 3National medical center, Astana, Kazakhstan
P435 The prognostic value of simplified bispectral EEG monitoring in post-cardiac arrest patients
V Vanstallen, W Eertmans, M Vander Laenen, M Vander Laenen, P Vanelderen, J Dens, F Jans, D Mesotten, C De Deyne
Ziekenhuis Oost-Limburg, Genk, Belgium
P436 The helicopter as first response tool – Rio de Janeiro Fire Department experience.
F Gonçalves1, R Vasconcellos2, C Karmiol1, J Bertelli1, V De Moraes1, R Bastos1, L Moura1, S Ramalho3
1Corpo de Bombeiros do Estado do Rio de Janeiro, Rio de Janeiro, Brazil; 2Amil Resgate Saúde, Rio de Janeiro, Brazil; 3Harvard Medical School, Boston, USA
P437 Safety profile during intra-hospital transportation of critically ill patients.
V Veiga, T Alvarisa, N Postalli, R Vale, P Travasos, S Rojas
Hospital BP - A Beneficência Portuguêsa de São Paulo, São Paulo, Brazil
P438 Clinical profile of patients admitted to ICU due to acute poisoning
MP Benitez Moreno1, E Curiel Balsera1, MC Martínez González1, S Jimenez Jimenez2
1Intensive Care Unit, Hospital Regional Universitario Carlos Haya, Malaga, Spain; 2Hospital Regional Universitario Carlos Haya, Málaga, Spain
P438A Mushroom that break hearts: a case report
E Karakoc, K Demirtas, S Ekemen, A Ayyildiz, B Yelken
Eskisehir Osmangazi University, Eskisehir, Turkey
Variable | Normal range | Days | ||
---|---|---|---|---|
1 | 5 | 15 | ||
Blood urea nitrogen | (6.0 – 20 mg/dL) | 24 | 56,3 | 10 |
Creatinine | (0.6 – 1.2 mg/dL) | 4,64 | 5,57 | 0,88 |
Alanine aminotransferase | (1 – 41 U/L) | 134 | 578 | 21 |
Aspartate aminotransferase | (1 – 38 U/L) | 48 | 800 | 20 |
P439 Predictive factors for secondary ICU admission within 48 hours after hospitalization in a medical wards from the emergency room
M Cancella De Abreu1, S Herminger1, A Rousseau2, P Hausfater1
1Hôpital Pitié Salpêtrière, Paris, France; 2Hôpital Saint Antoine, Paris, France
P440 Preventing chest drain guidewire retention using the wiresafe
C Malcolm, S Sinha, M Petsios, J Barker, P Young, M Mariyaselvam
The Queen Elizabeth Hopsital NHS Foundation Trust, Kings Lynn, UK
P441 Acquired neuromuscular weakness in eldery patients with femoral bone fracture, could we decrease the incidence?
D Pavelescu, I Grintescu, L Mirea
Emergency Hospital Floreasca, Bucharest, Romania
P442 Does Psoas Lumbar Vertebral Index (PLVI) have any prognostic value in the elderly population with major trauma?
J Lowe, C Bigham
Derriford Hospital, Plymouth, UK
P443 Rapid ultrasonographic assessment of undifferentiated shock in hypotensive patients
E Tesfaye, T Zewude
Tikur Anbessa Specialised Hospital, Addis Ababa, Ethiopia
P444 Expected and observed medical events and emergencies during two mass events, gathering several hundred thousand participants: are prediction scores reliable?
D Albiero1, M Migliari1, G Bellani2, A Andreassi3, R Stucchi4, E Albergoni3, M Caresani1, G Chiodini3, R Fumagalli4, G Foti1
1ASST Monza, Monza, Italy; 2University of Milan Bicocca, Milan, Italy; 3Azienda Regionale Emergenza Urgenza, Milan, Italy; 4ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
Event | 2012 | 2017 |
Estimated Participants (approx) | 450,000 | 400,000 |
Observed Patients presentations | 367 | 241 |
Observed PPR (per 1000 participants) | 0.8 | 0.6 |
Predicted patients presentations (Arbon score) | 202 | 189 |
Observed hospital transfer | 62 | 19 |
Observed TTHR (per 1000 participants) | 0.138 | 0.05 |
P445 Adasuve enables quicker dispositions of acute psychiatric patients in the emergency department
K Hesse1, E Kulstad2, K Netti1, D Rochford1, R Shah1
1Advocate Healthcare, Oak Lawn, USA; 2UT Southwestern, Dallas, USA
P446 Clinical work in language-discordant Emergency Department consultations
A Cox1, D Cerf2, N Dauby3, P Humblé4, L Huygens5, S Li6, K Maryns7, P Mols2
1Vrije Universiteit Brussel (VUB) and King’s College London (KCL), Brussels, Belgium; 2Saint-Pierre University Hospital (CHU), Emergency Department, Brussels, Belgium; 3Saint-Pierre University Hospital (CHU), Department of Infectious Diseases, Brussels, Belgium; 4Vrije Universiteit Brussel (VUB), Brussels Insitute of Applied Linguistics (BIAL), Faculty of Arts and Philosophy, Brussels, Belgium; 5Vrije Universiteit Brussel (VUB), Faculty of Medicine, Jette, Belgium; 6King’s College London (KCL),School of Medical Education, Shepherd’s House, Guys Campus, King’s College London, UK; 7Ghent University, Vakgroep Vertalen, Tolken en Communicatie Gent, Belgium
P447 Prognosis of patients admitted in the emergency department with intermediate lactate blood level
H Ghazali, H Ben Turkia, W Derouiche, I Chermiti, R Jebri, A Azzouzi, S Chiboub, S Souissi
Regional Hospital of Ben Arous, Ben Arous, Tunisia
P448 Respiratory emergencies at children at pre-hospital stage
L Petcu, A Ghidirimschi, B Golovin, N Catanoi, N Scurtov
National Centre of Prehospital Emergency Medicine, Chisinau, Moldova
P449 Fatigue-related risk in ED: the effect of reduction and proofing strategies on occupational performance and well-being
P Bérastégui1, A Ghuysen2, A Nyssen1
1Université de Liège, Liège, Belgium; 2Centre Hospitalier Universitaire du Sart Tilman, Liège, Belgium
P450 Evaluation of the prescription of complementary examinations in the emergency department
M Khaldi, H Sandid, E Missaoui, A Mahmoudi, M Methammem
CHU Farhat Hached, sousse, Tunisia
P451 Cardiogenic shock complicating st segment elevation myocardial infarction: prognosis in the emergency department.
F Riahi, S Souissi, M Mabrouk, A Aloui, C Ben Slimane, W Derouiche, A Zoubli, N ElHeni
Regional Hospital of Ben Arous, Ben Arous, Tunisia
P452 Drug-induced thrombocytopenia in the critically ill patients
Y Panahi, N Sobhani, MA Safarpour, M Chahabi
Baqiyatallah University of Medical Sciences, Tehran, Iran
P453 Effectiveness of simulation-based learning in intravenous medication safety: a randomized controlled study
JC Servotte1, I Bragard1, AF Donneau1, N Dardenne1, M Guillaume1, R Tubes1, B Cardos1, B Pilote2, IL Simoneau3, IL Simoneau3, A Ghuysen1
1Université de Liège, Liège, Belgium; 2Université Laval, Québec, Canada; 3Cégep de Sherbrooke, Sherbrooke, Canada
P454 The effect of medication reconciliation in two ICUs in the netherlands
L Bosma1, N Hunfeld2, R Quax2, E Meuwese2, M Van Kranenburg1, P Melief1, J Van Bommel2, P Van den Bemt2
1Haga Hospital, The Hague, Netherlands; 2Erasmus University Medical Center, Rotterdam, Netherlands
Pre-intervention (n=266) | Intervention (n=212) | p value | |
---|---|---|---|
Age (years), mean (SD) | 61.3 (14.7) | 61.8 (13.4) | p=0.73a |
Sex, female (%) | 98 (36.8%) | 89 (42.0%) | p=0.25 |
Days on ICU, median (range) | 3 (1-67) | 3.5 (1-75) | p=0.56 |
APACHE IV, mean (SD) | 79.2 (32.2) | 73.22 (32.9) | p=0.06 |
Died in ICU, n (%) | 60 (22.6%) | 35 (16.5%) | p=0.10 |
P455 Evaluation of drug incompatibilities in ICU : development of an original method.
M Benlabed, M Perez, R Gaudy, B Decaudin, G Lebuffe
Lille 2 University, Lille, France
P456 Drug incompatibilities: a new challenge for the intensivist
M Benlabed, M Perez, R Gaudy, B Decaudin, G Lebuffe
Lille 2 University, Lille, France
P457 Worldwide management of brain dead organ donor: a systematic review of guidelines
AJ Frenette 1, D Williamson1, B Rochwerg2, MJ Weiss3, I Ball4, K Serri1, F D’Aragon5, M Meade2, E Charbonney1
1Hôpital du Sacré-Coeur de Montréal, Montreal, Canada; 2McMaster University Centre, McMaster, Canada; 3CHU de Québec, Québec, Canada; 4London Health Sciences Center, London, Canada; 5CHUS de Sherbrooke, Sherbrooke, Canada
P458 Implementing of active brain dead donor identification strategy does not affect potential donor pool: one year experience in a single donor center
T Tamosuitis, I Maraulaite, A Trilikauskiene, D Damanskyte, D Lukminaite, N Balciuniene
Hospital of Lithuanian University of Health Sciences Kauno klinikos, Kaunas, Lithuania
P459 Current status and problems of organ transplantation before and after the enactment of the revised organ transplant law in Japan
S Kamada, T Ikeda, S Ono, S Suda, T Nagura
Tokyo Medical University, Hachioji Medical Center, Tokyo, Japan
P460 The financial impact of proximity to a major airport on one critical care unit
FJ Lamb, J McLoughlin, A Myers, TL Samuels
Surrey and Sussex Hospitals NHS Trust, Surrey, UK
P461 A fast hug bid a day keeps the patient ok!
E Sousa, T Leonor, R Pinho
Centro Hospitalar de Entre Douro e Vouga, Santa Maria da Feira, Portugal
P462 Impact of incidents and adverse events in intensive care unit and its characteristics on outcomes
E Siqueira, L Taniguchi, J Vieira Junior
Hospital Sírio LIbanês, Sao Paulo, Brazil
P463 Monte Carlo modelling of patient flow can aid complex intensive care bed and workforce capacity planning.
G Hadjipavlou, H Madder, J Titchell
Neurosciences Intensive Care, Oxford, UK
P464 Improving patient flow to enhance efficiency and quality of care
I Goodhart, A Elrefaey, G Shepherd, N North, G Northfield, N Howard, A Puttappa, P Valdes
Addenbrooke’s Hospital,Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
P465 Morale: introducing the anaesthetic trainee confession session
J Cuddihy, G Sivasubramaniam, D Mahtani, V Ponnaiah, V Ponnaiah, E Aziz
Guys and St Thomas’ Hospital, London, UK
P466 Funnel plots for quality control of the Swiss ICU - minimal data set
A Perren 1, B Cerutti2, M Kaufmann3, HU Rothen4
1Ente Ospedaliero Cantonale, Ospedale San Giovanni, Bellinzona, Switzerland; 2Faculty of Medicine, University of Geneva, Geneva, Switzerland; 3University Hospital, Basel, Switzerland,4Bern University Hospital - Inselspital, Bern, Switzerland
P467 Effect of intensivist on the outcomes of advanced lung cancer who admitted to intensive care unit
Y Cho1, J Song2, H Yang1, S Hong1, K Kim1, S Shin1, S Choi3, Y Lee1
1Seoul National University Bundang Hospital, Seongnam, South Korea; 2Seoul National University Hospital, Seoul, South Korea; 3Semyung University, Jecheon, South Korea
All patients (N = 264) | Pre-2011 (N = 85) | Post-2011 (N = 179) | P value | |
---|---|---|---|---|
30-day ICU mortality | 109 (41.3%) | 37 (43.5%) | 72 (40.2%) | 0.610 |
Hospital mortality | 188 (71.2%) | 70 (82.4%) | 118 (65.9%) | 0.006 |
Length of stay in ICU, days | 10.3 ± 12.0 | 14.5 ± 16.5 | 8.3 ±8.6 | <0.001 |
Length of stay in hospital, days | 26.7 ± 27.3 | 36.6 ±37.2 | 22.0 ±19.6 | <0.001 |
P468 Transfer time from the intensive care unit (ICU) and patient outcome
S Chatterjee, S Sinha, M Bhattacharya, S Todi
AMRI Hospitals, Kolkata, India
P469 Payer status and intensive care unit (ICU) length of stay (LOS)
S Chatterjee 1, M Bhattacharya1, S Sinha1, P Sen2, S Todi1
1AMRI Hospitals, Kolkata, India; 2Jadavpore University, Kolkata, India
P470 Braden scale is predictive of mortality in critically ill patients, independent of its efficiency as a predictive tool of pressure ulcer risk
D Becker1, TC Tozo2, IR Porto3, TT Chung1, P Duarte3
1Hospital do Câncer/UOPECCAN, Cascavel, Brazil; 2Hospital São Lucas-FAG, Cascavel, Brazil; 3Hospital Universitario do Oeste do Parana, Cascavel, Brazil
P471 Triage tool for ICU referral: a pilot study
L Griseto, R Ffrench-O’Carroll, S Campbell, O Tujjar
Sligo University Hospital, Sligo, Ireland
P472 A decision-aid tool for ICU admission triage is associated with a reduction of potentially inappropriate intensive care unit admissions: an implementation study
J Ramos1, O Ranzani2, B Perondi2, R Dias2, D Jones3, C Carvalho2, I Velasco2, D Forte2
1Hospital Sao Rafael, Salvador, Brazil; 2Hospital das Clinicas, Sao Paulo, Brazil; 3Monash University, Melbourne, Australia
P473 Scenario of an ICU after implementation of management software in a middle income country
M Gomes da Silva Serra, A Catharina Azevedo Silva, G Silva Rocha, E Silva Oliveira, F Ferreira Ribeiro de Souza, S Pereira de Souza, L Couto de Oliveira Junior
Hospital Geral Cleriston Andrade, Feira de Santana Bahia, Brazil
P474 The implementation science of a critical care informatics system deployment in a central london teaching hospital
H Rook, R West, F Master, C Bell, R Sloss, G Lakanpal, F Ahmad, S Shah, L McCaulsky, T Wheeler, K Child, T Best, R Mehta, PA Hopkins
King’s Critical Care, London, UK
P475 Work-related stress amongst doctors and nurses in intensive care, A&E, acute medicine, anaesthetics and surgery
I Lever1*, H Nawimana1*, N G1*, M Haider1,* A Molokhia 2
1King’s College London, London, UK; 2University Hospital Lewisham, London, UK.
P476 Introduction of a structured debrief on intensive care: a quality improvement initiative to optimise learning and improve practice
L Zucco, H Damirji
University Hospital Lewisham, London, UK
P477 Nurse staffing patterns, outcomes and efficiency in resource use in the context of icus with a “low-intensity” nurse staffing: a multicenter study in brazilian icus
M Soares 1, FG Zampieri2, WN Viana3, JA Carvalho Jr4, R Costa5, TD Correa6, FA Bozza1, JI Salluh1
1DOr Institute for Research and Education, Rio de Janeiro, Brazil; 2HCor, São Paulo, Brazil; 3Hospital Copa DOr, Rio de Janeiro, Brazil; 4Rede DOr São Luiz Itaim, São Paulo, Brazil; 5Hospital Quinta DOr, Rio de Janeiro, Brazil; 6Hospital Israelita Albert Einstein, São Paulo, Brazil
P478 Impact of nurse practitioners and physician assistants in the intensive care unit: a systematic review and meta-analysis.
H Kreeftenberg1, S Pouwels1, A De Bie Dekker1, A Bindels1, P Van der Voort2
1Catharina Hospital, Eindhoven, Netherlands; 2Tilburg University, Tilburg, Netherlands
P479 Burnout and depression in ICU staff members
N Bahgat
Menoufia University hospital, Shibin Elkom, Egypt
P480 Impact of a tailored multicomponent program to reduce discomfort in the ICU on post-traumatic stress disorder: a case-control study
P Kalfon 1, M Alessandrini2, M Boucekine2, M Geantot3, S Renoult4, S Deparis-Dusautois5, O Mimoz6, J Amour7, E Azoulay8, C Martin9, T Sharshar10, M Garrouste-Orgeas11, K Baumstarck2, P Auquier2
1Centre Hospitalier de Chartres, Chartres, France; 2Aix Marseille Université, Marseille, France; 3CHU Dijon Bourgogne, Dijon, France; 4Clinique Ambroise Paré, Neuilly/Seine, France; 5Centre Hospitalier de Troyes, Troyes, France; 6CHU La Milétrie, Poitiers, France; 7CHU Pitié Salpêtrière, Assistance Publique - Hôpitaux de Paris, Paris, France; 8CHU Saint-Louis, Assistance publique - Hôpitaux de Paris, Paris, France; 9CHU H Nord, Assistance publique - Hôpitaux de Marseille, Marseille, France; 10CHU Raymond Poincaré, Assistance publique - Hôpitaux de Paris, Garches, France; 11Groupe Hospitalier Paris Saint-Joseph, Paris, France
P481 Pre-existing cognitive dysfunction in critically ill patients and the incidence of delirium during ICU treatment.
ST Könning, D Ramnarain
Elisabeth Tweesteden Hospital Tilburg (ETZ), Tilburg, Netherlands
P482 Postoperative cognitive dysfunction (pocd) in high risk surgical patients. a retrospective study.
A Hunter, M Wells, G Gunaratnam, I Ibrahim, D Walker, C Gore
Department of Critical Care, University College London Hospital, London, UK
P483 Validation of the SOS-PD scale for assessment of pediatric delirium: a multicenter study
E Ista1, B Van Beusekom1, J Van Rosmalen1, MCJ Kneyber2, J Lemson3, A Brouwer4, G Dieleman1, B Dierckx1, M De Hoog1, D Tibboel1, M Van Dijk1
1Erasmus MC - Sophia Children’s Hospital, Rotterdam, Netherlands; 2UMC Groningen - Beatrix Children’s Hospital, Groningen, Netherlands; 3Radboud University Medical Center, Nijmegen, Netherlands; 4Maastricht University Medical Centre, Maastricht, Netherlands
P484 Feasibility of employing family-administered delirium detection tools in the intensive care unit (ICU)
K Fiest1, K Krewulak1, J Davidson2, EW Ely3, HT Stelfox1
1University of Calgary, Calgary, Canada; 2University of California, San Diego, San Diego, USA; 3Vanderbilt University Medical Center, Nashville, USA
P485 Acute psychological distress in awake ICU patients: an observational study
A Franci, L Cecci, L Tadini Buoninsegni, M Bonizzoli, J Parodo, A Ottaviano, A Peris
Azienda Ospedaliero Universitaria Careggi, Firenze, Italy
P486 Withdrawn
P487 Withdrawn
P488 Effect of acetaminophen on sublingual microcirculation in febrile septic patients: preliminary analysis
U Falanga, R Domizi, E Casarotta, A Carsetti, S Tondi, A Donati
Università Politecnica delle Marche, Ancona, Italy
P489 Frequency, risk factors and symptomatology of iatrogenic withdrawal from opioids and benzodiazepines in critically ill neonates, children and adults: a systematic review of clinical trials
MA Duceppe1, M Perreault1, AJ Frenette2, L Burry3, P Rico2, A Lavoie4, C Gélinas5, S Mehta3, M Dagenais1, D Williamson 2
1McGill University Health Centre, Montreal, Canada; 2Hôpital du Sacré-Coeur de Montréal, Montreal, Canada; 3Mount Sinai Hospital, Toronto, Canada; 4CHU Ste-Justine, Montreal, Canada; 5Jewish General Hospital, Montreal, Canada
P490 Entropy–guided depth of hypnosis on general anesthesia in critically ill polytrauma patients
O Bedreag, A Rogobete, C Cradigati, M Sarandan, S Popovici, D Sandesc
Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
P491 Use of methadone in critically ill patients
R Vale, P Travasos, N Postalli, T Alvarisa, M Pedroso, V Veiga, S Rojas
Hospital BP - A Beneficência Portuguêsa de São Paulo, São Paulo, Brazil
P492 Comparison the efficacy of intravenous ketorolac versus morphine in the treatment of renal colic
R Mosaddegh, M Rezai, F Jalili, H Hadizadeh, M Salehi Namin
Emergency Medicine Management Research Center, Iran University of Medical Sciences, Tehran, Iran
P493 Effect of analgesics on cardiovascular and hormonal response to operative trauma
D Loncar Stojiljkovic, MP Stojiljkovic
SGH, 11000, Serbia
Prolactin (μ g/L) | Cortisol (nmol/L) | Growth hormone (pmol/L) | |
---|---|---|---|
Baseline | 7±1 | 425±64 | 143±75 |
Intubation | 28±11* | 420±88 | 152±81 |
First incision | 143±31* | 421±95 | 145±64 |
Surg. manip. | 158±27* | 555±21 | 76±32 |
24 h postop. | 167±25* | 655±21 | 68±28 |
Prolactin (ìg/L) | Cortisol (nmol/L) | Growth hormone (pmol/L) | |
---|---|---|---|
Baseline | 23±10 | 429±52 | 6±1 |
Intubation | 152±28* | 428±41 | 10±2* |
First incision | 193±30* | 396±34 | 21±14* |
Surg. manip. | 193±30* 160±28* | 606±68* | 38±30* |
P494 Volatile anaesthetic consumption and recovery times after long term inhalative sedation using the mirus system - an automated delivery system for isoflurane, sevoflurane and desflurane
AI Georgevici, L Procopiuc, D Drees, J Herzog-Niescery, P Gude, H Vogelsang, TP Weber, M Bellgardt
St Josefs Hospital University Clinic Bochum, Bochum, Germany
P495 The use of intranasal fentanyl versus parenteral opioid for acute pain relief in adults: systematic review and meta-analysis
F Fortier-Dumais, C Chau, JM Chauny, A Cournoyer, V Huard, J Lessard
Hôpital Sacré-Coeur de Montréal, Montréal, Canada
P496 Anesthesiological management for percutaneous endoscopic gastro-jejunostomy (PEGJ) procedure in parkinson’s disease patients
M Della Valle, L Marullo, A Iuorio, P Fusco, A Tessitore, F Ferraro
A.O.U "Luigi Vanvitelli", Napoli, Italy
Premedication | Atropine | 0.01 mg/Kg i.v. |
Midazolam | 0.015-0.03 mg/kg i.v. | |
Induction | Propofol | 0.5 - 1mg/kg i.v. (bolus) |
Sedation | Propofol | 2-5 mg/Kg/h continuous i.v. |
P497 Sleep disorders in ICU survivors
C Alexopoulou, A Proklou, M Fanaridis, S Soundoulounaki, M Bolaki, EM Antonogiannaki, E Kondili
University Hospital of Heraklion, Crete, Heraklion, Greece
P498 Sleep in critically ill patients and outcome
Y Boyko1, P Toft1, H Oerding2, JT Lauridsen3, M Nikolic4, PJ Jennum5
1Odense University Hospital, Odense C, Denmark; 2Vejle Hospital, University of Southern Denmark, Vejle, Denmark; 3University of Southern Denmark, Odense M, Denmark; 4Rigshospitalet, Glostrup, Denmark; 5Rigshospitalet, University of Copenhagen, Glostrup, Copenhagen, Denmark
P499 Antipsychotics (APs) prescribing in critically ill delirious patients, the reported versus the perceived practice
E Almehairi1, G Davies1, D Taylor1, S Yassin2, A Peers3, C McKenzie1
1King’s College London, London, UK,2Guy’s and St Thomas Trust, London, UK,3South London and Maudsley NHS Foundation Trust, London, UK
Haloperidol N=30 | Quetiapine N=38 | Olanzapine N=21 | P value | |
---|---|---|---|---|
Age | 74 (66-81) | 52 (42-72) | 59(45-73) | 0.0002* |
Gender | 22 Male, 8 Female | 30 Male, 8 Female | 15 Male, 6 Female | 0.77 |
MV | 18 | 33 | 15 | 0.040* |
ECMO | 1 | 5 | 0 | 0.10 |
CC LOS | 12 (5-21) | 24 (15-40) | 25 (18-42) | 0.003* |
CC Unit | 16 ICU, 4 HDU, 10 OIR | 32 ICU, 5 HDU, 1 OIR | 18 ICU, 2 HDU, 1 OIR | 0.004* |
AP | Starting dose mg (a) Median IQ | Maximum daily dose mg/day (b) Median IQ | Audit vs. Survey comparison P value |
---|---|---|---|
Oral quetiapine-survey (63.8%) | 25 (12.5-25) | 200 (100-300) | (a) 0.205 |
Oral-quetiapine audit (42.6%) | 25 (13-31) | 100 (50-200) | (b) 0.014* |
IV haloperidol-survey (26%) | 1 (1-2.5) | 2.5 (1.2-17) | (a) 0.33 |
IV haloperidol audit (22%) | 1 (0.6-1) | 16 (10-20) | (b) 0.003* |
Oral-olanzapine-survey (11%) | 2.5 (2.5-5) | 5 (2.5-5) | (a) 0.6 |
Oral-olanzapine audit (22%) | 20 (10-20) | 1- (5-19) | (b) 0.2 |
P500 Sedation practices and preferences of Turkish intensive care physicians: national survey
S Urkmez1, E Erdogan1, T Utku1, Y Dikmen1
1Istanbul University Cerrahpasa Medical Faculty, Istanbul, Turkey
Median Age (min – max) | 40 (29 – 63) |
Sex % women | 60.8 |
Median years spent working in the ICU (min – max) | 7 (1 – 30) |
Median size of the ICU (min – max) | 16 (4 – 104) |
Level of the ICU (%) | |
Level 3 | 85.2 |
Level 2 | 11.3 |
Level 1 | 3.5 |
ICU type (%) | |
Closed ICU | 65.5 |
Open ICU | 13.4 |
Mixt ICU | 21.1 |
Hospital type (%) | |
State University Hospital | 34.5 |
State Teaching and Research Hospital | 31.0 |
State Hospital | 15.7 |
Private University Hospital | 4.5 |
Private Hospital | 14.3 |
Completely agree (%) | Agree (%) | No idea (%) | Disagree (%) | Completely disagree (%) | |
---|---|---|---|---|---|
Sedation is a common adjunct in ICU treatment | 32.6 | 52.8 | 1.2 | 9.9 | 3.5 |
Treating pain is more important than sedation | 31.0 | 55.4 | 1.4 | 9.2 | 3.1 |
Sedation delays discharge from ICU | 7.1 | 32.1 | 3.8 | 47.2 | 9.9 |
Sedation increases patient-ventilator asynchrony | 1.2 | 3.8 | 2.4 | 58.3 | 34.4 |
Delirium is a frequent complication in ICU | 29.2 | 61.4 | 2.6 | 5.9 | 0.9 |
Delirium has a negative effect on ICU outcome | 43.3 | 51.3 | 1.6 | 2.4 | 1.4 |
Early mobilization has an important place in ICU | 55.7 | 41.0 | 2.1 | 0.7 | 0.5 |
Early mobilization causes development of delirium | 1.6 | 1.2 | 9.4 | 49.9 | 37.9 |
Post intensive care syndrome is a problem | 33.8 | 50.5 | 13.6 | 1.6 | 0.5 |
P501 Sedation during MRI: what medication to choose?
I Kuchyn, K Bielka
Postgraduate Institute of Bogomolets National Medical University, Kiev, Ukraine
P502 The usefulness of dexmedetomidine after lung transplantation in intensive care unit.
M Ben-Rehouma, C Moulin, P Montravers
Hôpital Bichat, Paris, France
P503 Impact of dexmedetomidine on the duration of invasive mechanical ventilation in pediatric intensive care patients - DEXPED trial
M Genest1, V King1, Y El-Ghaddaf1, A Longpré2, MM Perreault 1, M Schnitzer3, S Ferreira-Guerra3, P Fontela1, T Di Genova1, M Dagenais1, N Ruo1
1McGill University Health Centre, Montreal, Canada; 2Centre hospitalier universitaire de Sherbrooke, Sherbrooke, Canada; 3University of Montreal, Montreal, Canada
P504 Pharmacokinetics of dexmedetomidine during analgosedation in ICU patients
A Bienert1, P Smuszkiewicz1, P Wiczling2, J Ber1, J Warzybok1, T Makiewicz1, J Matysiak1, A Klupczyñska1, I Trojanowska1, ZJ Kokot1, E Grzekowiak1, W Krzyañski3(*)
1Poznan Univeristy of Medical Sciences, Poznan, Poland; 2Medical University of Gdañsk, Gdansk, Poland; 3University at Buffalo, Buffalo, NY, USA
Parameter, unit | Median [Range or Number] |
---|---|
Age, years | 59.5 [19-84] |
Weight, kg | 75 [45-100] |
Male/Female | 17/10 |
Infusion Time, h | 42.8 [23.7-102] |
Total dose of dex, mg | 1.55 [0.29-6.67] |
Infusion rate, ìg/kg/h | 0.51 [0.1-1.5] |
SOFA, score | 12 [5-16] |
P505 Peri-operative dexmedetomidine in high risk cardiac surgery - multicentre randomized double blind placebo controlled pilot trial
Y Shehabi1, J Smith1, D Mcilroy2, M Green 1, L Wienberg3, S Kadiman4, M Bailey1, Z Endre5
1School of Clinical Sciences - Monash University, Melbourne, Australia,2The Alfred Hospital, Melbourne, Australia,3The Austin Hospital, Melbourne, Australia,4National Heart Institute, Kuala Lumpur, Malaysia,5Prince of Wales Hospital, Sydney, Australia
P506 Effects of propofol and dexmedetomidine on sleep architecture in ICU patients
A Musica1, D Liberti1, C Pellegrini1, O Albanese2, C Cafora1, E De Blasio1
1Rummo hospital, Benevento, Italy; 2Free worker, Benevento, Italy
propofol | dexmetedomidina | P value | |
---|---|---|---|
Total Sleep Time (mean) | 55% | 73% | <0,05 |
Sleep fragmentation (awakenings/hour) | 5,3 | 4,8 | <0,05 |
N1(%) | 15,2 | 11,3 | NS |
N2(%) | 64,7 | 69 | NS |
N3(%) | 7,6 | 5,8 | NS |
REM(%) | 12,5 | 13,7 | NS |
P507 Development of a multivariable prediction instrument for psychological morbidity in ICU survivors
AS Milton, AR Schandl, PV Sackey
Karolinska Institutet, Stockholm, Sweden
Risk factor | Regression coefficient | Odds ratio | p-value | 95% CI |
---|---|---|---|---|
Lack of social support | 15.46 | 3.28 | <0.01 | 1.47 7.32 |
Depressive symptoms (PHQ-2) | 3.28 | 1.29 | <0.01 | 1.10 1.50 |
Traumatic memories (PTSS-14A) | 4.72 | 1.44 | <0.01 | 1.13 1.82 |
Age | Data reported separately |
P508 Improving the patients hospitalization experience in an intensive care unit by contact with nature
W Yacov 1, Y Polishuk2, A Geal-dor2, G Yosef- hay2
1Kaplan Medical Center, Rehovot, Israel; 2Kaplan medical center, Rehovot, Israel
P509 Psychopathology and the association with ICU memories in ARDS patients post ICU follow-up
L Tadini Buoninsegni, L Cecci, M Cozzolino, M Ferraro, M Bonizzoli, A Peris
A.O.U. Careggi, Florence, Italy
P510 Outcome and quality of life in patients with a prolonged intensive care unit stay
K Steenhaut, S Oeyen, D Benoit, J Decruyenaere, E Hoste
Ghent University Hospital, Gent, Belgium
P511 Early rehabilitation in the intensive care unit: reality!
L Alonso, E Sady, R Gregório, L Junqueira, V Veiga, T Alvarisa, N Postalli, P Travassos, R Vale, S Ordinola
Hospital BP - A Beneficência Portuguêsa de São Paulo, São Paulo, Brazil
P512 Short term outcomes of elderly survivors of intensive care
I Ben Saida, E Ennouri, W Zarrougui, J Ayachi, M Limam, N Fraj, N Sma, A Khedher, A Azouzi, M Boussarsar
Farhat Hached Teaching hospital, Sousse, Tunisia
P513 Characteristics and outcome of elderly patients in intensive care unit
I Coelho Santos, R Assis, A Real, T Pereira, N Lopes, A Araújo, L Pessoa, N Catorze
Centro Hospitalar Médio Tejo, Abrantes, Portugal
P514 Voolcano I: very old and old people with critical disease I
E Sousa, T Leonor, M Fernandes, R Pinho
Centro Hospitalar de Entre Douro e Vouga, Santa Maria da Feira, Portugal
P515 Organ failure and return to work after intensive care
S Riddersholm1, S Christensen2, K Kragholm1, CF Christiansen2, BS Rasmussen1
1Aalborg university hospital, Aalborg, Denmark; 2Aarhus Univeristy hsopital, Aarhus, Denmark
Infectious (n=995) | Cardiovascular (n=2675) | Respiratory (n=622) | Gastrointestinal (n=445) | |
---|---|---|---|---|
Age,median [25%-75%] | 51.7 [39.8, 58.4] | 52.6 [45.1, 58.7] | 50.9 [38.7,58.3] | 51.7 [41.5, 57.8] |
Male sex(sd) | 602 (60.5) | 1673 (62.5) | 392 (63.0) | 267 (60.0) |
Support of 0 organs | 326 (32.8) | 850 (31.8) | 121 (19.5) | 198 (44.5) |
Support of 1 organ | 276 (27.7) | 728 (27.2) | 207 (33.3) | 92 (20.7) |
Support of 2 organs | 292 (29.3) | 982 (36.7) | 238 (38.3) | 120 (27.0) |
Support of 3 organs | 101 (10.2) | 115 (4.3) | 56 (9.0) | 35 (7.9) |
Hospital-LOS | 18.0 [10.0, 34.0] | 21.0 [12.0, 54.0] | 19.0 [9.2, 41.0] | 22.0 [13.0, 43.0] |
Endocrine (n=157) | Neoplasms (n=573) | Trauma (n=1819) | Other (n=1374) | |
---|---|---|---|---|
Age, median [25%-75%] | 42.7 [27.0, 54.1] | 52.3 [42.5, 59.1] | 39.2 [25.0, 51.9] | 42.1 [30.6, 54.3] |
Male (sd) | 78 (49.7) | 324 (56.5) | 1404 (77.2) | 672 (48.9) |
Support of 0 organs | 104 (66.2) | 334 (58.3) | 794 (43.7) | 606 (44.1) |
Support of 1 organ | 20 (12.7) | 118 (20.6) | 555 (30.5) | 353 (25.7) |
Support of 2 organs | 21 (13.4) | 102 (17.8) | 444 (24.4) | 325 (23.7) |
Support of 3 organs | 12 (7.6) | 19 (3.3) | 26 (1.4) | 90 (6.6) |
Hospital-LOS | 8.0 [5.0, 15.0] | 17.0 [10.0, 37.0] | 23.0 [10.0, 62.0] | 17.0 [8.0, 40.0] |
P516 Factors associated with non-return to work among general ICU survivors: a multicenter prospective cohort study
R Rosa1, C Robinson1, M Falavigna1, L Biason2, P Cardoso3, P Berto3, M Mattioni1, L Tagliari1, P De Leon1, J Maccari1, R Oliveira1, J Andrade4, G Medeiros1, V Machado1, F Gomes1, C Dietrich1, F Dutra1, L Anzolin1, M Oliveira1, E Sanchez1, S Da Silva1, S Menezes1, D De Souza1, R Jeffman1, D Schneider1, D Sganzerla1, D De Oliveira1, C De Oliveira1, R Kochhann1, C Teixeira1
1Hospital Moinhos de Vento, Porto alegre, Brazil; 2Hospital Independência, Porto Alegre, Brazil; 3Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil; 4Hospital Ernesto Dornelles, Porto Alegre, Brazil
P517 A 23 year review of adult patients admitted to critical care with learning disabilities (LD)
C Mearns, B Bray
Surrey & Sussex Healthcare NHS Trust, Redhill, UK
P518 Comparison of home and clinic follow-up visits after hospital discharge for post-ICU patients: a cross-sectional study
R Rosa1, C Robinson1, P Berto2, P Cardoso2, L Biason3, J Maccari1, D Sganzerla1, D Schneider1, P De Leon1, M Mattioni1, L Tagliari1, M Falavigna1, M Oliveira1, L Anzolin1, S Da Silva1, F Dutra1, S De Menezes1, D De Souza1, E Sanchez1, R Kochhann1, F Gomes1, G Medeiros1, V Machado1, J Andrade1, C Dietrich1, C Teixeira1
1Hospital Moinhos de Vento, Porto alegre, Brazil; 2Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil; 3Hospital Independência, Porto Alegre, Brazil
P519 A multidisciplinary approach at the emergency department to admit potential organ donors for end-of-life care to the intensive care unit
M Witjes1, A Kotsopoulos2, L Otterspoor3, I Herold3, K Simons4, K Woittiez5, J Eijkenboom6, H Van der Hoeven1, F Abdo1
1Radboud university medical center, Nijmegen, Netherlands; 2Elisabeth Tweesteden hospital, Tilburg, Netherlands; 3Catharina hospital, Eindhoven, Netherlands; 4Jeroen Bosch hospital, ‘s-Hertogenbosch, Netherlands; 5VieCuri hospital, Venlo, Netherlands; 6Maxima Medical Center, Veldhoven, Netherlands
P520 Physicians’ ability to predict hospital mortality in acutely deteriorating patients: a cohort study
J Ramos1, R Dias2, D Forte2
1Hospital Sao Rafael, Salvador, Brazil; 2Hospital das Clinicas, Sao Paulo, Brazil
P521 What are physicians in doubt about? An interview study in a neuro-intensive care unit.
A Robertsen1, E Helseth1, R Førde2
1Oslo University Hospital, Oslo, Norway; 2University of Oslo, Oslo, Norway
P522 Improving effective communication in the ICU
C Zucak, N Smith
Nepean Hospital, Kingswood, NSW, Australia
P523 Evaluation of family satisfaction instrument in multicultural Middle Eastern critical care units
A Ali, K Krishnareddy, H Hon
Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
UAE study | Canadian study | Swiss study | American Study | |
---|---|---|---|---|
Tool used | FS-24 | Modified FS-ICU | FS-34 | Modified FS-ICU and QOD-1 |
Total score | 75.1 ± 14.2 | 84.3 ± 15.7 | 78 ± 14.7 | 76.6 ± 20.6 |
Care score | 80.1 ± 18.6 | 83.5 ± 15.4 | 79 ± 14 | 77.7 ± 20.6 |
Decision making score | 68.1 ± 11.5 | 75.9 ± 26.4 | 77 ± 15 | 75.2 ± 22.6 |