P001
Sex-related differences in patients’ characteristics, provided care, and outcomes following spontaneous intracerebral hemorrhage
SW Wang1, SYB Bögli2, SW Wildbolz1, NM Nierobisch1, EK Keller1, GB Brandi1
1UniversitätsSpital Zürich, Zürich, Switzerland, 2UniversitätsSpital Zürich, Intensive Care Medicine, Zürich, Switzerland
P002
Connection between possible and proved predictors of the post-neurosurgical meningitis 4-hydroxyphenyllactic acid and lactate in cerebrospinal fluid
A Pautova, A Meglei, E Chernevskaya, N Beloborodova
Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russian Federation
P003
Assessing outcome in ischemic stroke patients with automated pupillometry
E Marinangeli, A Marudi, G Bettelli, G Melegari, C Dallai, S Rinaldi, L Pietropaoli, G Branchetti, E Bertellini
Azienda Ospedaliero Universitaria Policlinico di Modena, Anestesia e Rianimazione, Modena, Italy
P004
Automated quantitative pupillometry to predict neurologic outcome in SAH patients: a pilot study
A Blandino Ortiz1, J Higuera Lucas1, G Alonso Salinas2, C Soriano1, S Saez1, R De Pablo1
1Ramón y Cajal University Hospital, Department of Intensive Care, Madrid, Spain, 2Complejo Hospitalario de Navarra, Department of Cardiology, Pamplona, Spain
P005
Determination of the average diameter of the optic nerve in Bogota, Colombia
EE Rodríguez, JA Carrizosa, C Perez
Fundación Santa Fe de Bogotá, Intensive Care Department, Bogotá, Colombia
P006
Infectious extracranial complications in TBI hospitalized in ICU: a retrospective analysis in a trauma center
A Sica, E Russo, C Dell’Amore, A Cittadini, DP Santonastaso, D Bellantonio, G Scognamiglio, C Turrini, E Gamberini, V Agnoletti
Ospedale Maurizio Bufalini, Anestesia e Rianimazione, Cesena, Italy
NO iVACs | iVACs | p Value | ||
---|---|---|---|---|
GCS tot. | Average (s.d.) | 11.58 (4.15) | 8.97 (4.93) | – |
Median (IQR) | 14 (7) | 7.5 (11.5) | 0.003 | |
AIS head | Average (s.d.) | 2.5 (2.1) | 3.4 (1.9) | 0.001 |
Median (IQR) | 3 (4) | 4 (2) | ||
ISS | Average (s.d.) | 32.10 (16.2) | 37.47 (10.59) | 0.01 |
Median (IQR) | 29 (16) | 36 (11.5) | ||
AIS thorax | Average (s.d.)/Median (IQR) | 2.1 (1.8)/3 (4) | 2.4 (1.9)/ 3 (4) | 0.436 |
P007
Safety of 5% sodium chloride bolus administration via peripheral venous access in neurocritical care patients
AL Brask, TS Lam, JT Jancik
Hennepin County Medical Center, Clinical Pharmacy, Minneapolis, USA
P008
Protocol-driven detection of potential organ donors in a German emergency department
B Schmid1, CN Lang2, HJ Busch1, G Neitzke3, KM Lücking4
1Medical Center – University of Freiburg, Department of Emergency Medicine, Freiburg im Br., Germany, 2Medical Center – University of Freiburg, Department of Medicine III (Interdisciplinary Medical Intensive Care), Freiburg im Br., Germany, 3Medical School Hannover, Institute for History, Ethics and Philosophy of Medicine, Hannover, Germany, 4Medical Center – University of Freiburg, Coordinator for transplantation, Freiburg im Br., Germany
P009
Super-refractory status epilepticus in a neurocritical care unit
D Gomes, D Correia, I Moniz, JM Ribeiro
Centro Hospitalar Universitário Lisboa Norte, Serviço de Medicina Intensiva, Lisboa, Portugal
P010
Paroxysmal sympathetic hyperactivity in patients with chronic disorders of consciousness.
E Kondratyeva1, S Kondratev2, G Rybakov3
1Almazov Medical Research Centre, Minimally Conscious Research Group, St Petersburg, Russian Federation, 2Almazov Medical Research Centre, Intensive Care Department, St Petersburg, Russian Federation, 3Almazov Medical Research Centre, ICU department, St Petersburg, Russian Federation
P011
Behavior of systemic inflammatory markers in patients undergoing craniotomy for tumor resection
GA Madrid1, MC Niño2, D Cohen2, J Mercado2, J Cortés1, D Arias3, A Ordoñez3, EE Rodríguez3
1Fundación Santa Fe de Bogotá, Anesthesiology Department, Bogotá, Colombia, 2Fundación Santa Fe de Bogotá, Neuroanesthesia Service, Bogotá, Colombia, 3Fundación Santa Fe de Bogotá, Intensive Care Department, Bogotá, Colombia
P012
Blood metabolomic profiling of chronic disorders of consciousness.
E Kondratyeva1, A Orlova2, Y Dubrovskii3, N Dryagina4, E Verbitskaya5, S Kondratyev6
1Almazov Medical Research Centre, Minimally Conscious Research Group, St Petersburg, Russian Federation, 2Saint Petersburg State Chemical Pharmaceutical University (SPCPA, Researcher of the Department of Science and Training of Scientific and Pedagogical Personnel, Assistant of the Department of Pharmacognosy, Saint Petersburg, Russian Federation, 3Almazov Medical Research Centre, Metabolomic research centre, St Petersburg, Russian Federation, 4Almazov Medical Research Centre, Department of laboratory Diagnostic, St Petersburg, Russian Federation, 5Pavlov University, Associate Professor of the Department of Clinical Pharmacology, Head of the Department of Biomedical Statistics, Saint Petersburg, Russian Federation, 6Almazov Medical Research Centre, Intensive Care Department, St Petersburg, Russian Federation
P013
The use of 100% oxygen during non-effective cardiopulmonary resuscitation improves brain oxygenation compared to 50% oxygen
A Nelskylä1, J Humaloja1, E Litonius2, P Pekkarinen2, G Babini1, T Mäki-Aho1, J Heinonen2, MB Skrifvars1
1University of Helsinki and Helsinki University Hospital, Department of Emergency Medicine and Services, Helsinki, Finland, 2University of Helsinki and Helsinki University Hospital, Department of Anesthesia, Intensive Care, and Pain Medicine, Helsinki, Finland
P014
Centralising cardiac arrest care: a single centre retrospective observational study
R Pugh1, M Papadopoullos2, J Scanlon1, R Craddock1
1Glan Clwyd Hospital, Department of Anaesthetics, Bodelwyddan, UK, 2Cardiff University, School of Medicine, Cardiff, UK
Factor (categorical or median) | Lived (n = 76) | Died (n = 113) | All (n = 189) | p Value |
---|---|---|---|---|
Age (years) | 61 | 67 | 64 | 0.007 |
APACHE II | 14 | 19 | 17 | < 0.001 |
Pre-ICU PCI | 47 (62%) | 35 (31%) | 82 (43%) | < 0.001 |
Lowest P:F ratio (kPa) | 26.9 | 22.0 | 23.5 | 0.003 |
Lowest systolic blood pressure (mmHg) | 89 | 84 | 85 | 0.029 |
Highest lactate (mmol/l) | 2.5 | 3.8 | 3.2 | < 0.001 |
Highest temperature (C) | 37.0 | 36.5 | 36.9 | < 0.001 |
P015
The simple predictive indicators of outcome related to oxidative stress after out-of-hospital cardiac arrest
O Shigemitsu, R Takenaka
Oita University, Emergency Medicine, Faculty of Medicine, Oita, Japan
P016
Prognostic capabilities of inflammatory markers after out-of-hospital cardiac arrest: a systematic review
AMJ Seppä1, MB Skrifvars2, PT Pekkarinen1
1University of Helsinki and Helsinki University Hospital, Division of Intensive Care, Department of Anaesthesiology, Intensive Care and Pain Medicine, Helsinki, Finland, 2University of Helsinki and Helsinki University Hospital, Department of Emergency Care and Services, Helsinki, Finland
P017
Fever after OHCA: a post hoc analysis of the FINNRESUSCI study
A Holm1, M Reinikainen2, J Kurola3, J Vaahersalo4, M Tiainen5, T Varpula4, J Hästbacka4, M Skrifvars6
1University of Helsinki and Helsinki University hospital, Faculty of Medicine and Department of Emergency Care and Services, Helsinki, Finland, 2University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, 3Centre of Prehospital Emergency Care, Kuopio University Hospital, Kuopio, Finland, 4Department of Anaesthesiology, Intensive Care and Pain Medicine, Helsinki University Hospital and University of Helsinki, Department of Anaesthesiology, Intensive Care and Pain Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland, 5Department of Neurology, Helsinki University Hospital and University of Helsinki, Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland, Helsinki, Finland, 6Department of Emergency Care and Services, University of Helsinki and Helsinki University Hospital, Department of Emergency Care and Services, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
P018
Mortality risk estimation for peri-operative cardiac arrest and 30-day mortality in preterm infants requiring non-cardiac surgery
G Jansen1, L Irmscher1, T May2, R Borgstedt1, K Thies2, S Rehberg2, S Scholz1
1Protestant Hospital of the Bethel Foundation, University Hospital OWL, University of Bielefeld, Department of Anaesthesiology, Intensive Care, Emergency Medicine, Transfusion Medicine, and Pain Therapy, Bielefeld, Germany, 2Protestant Hospital of the Bethel Foundation, University Hospital OWL, University of Bielefeld, Bielefeld, Germany
Weight (g) | Catecholamine therapy | Time | Predicted Mortality (%) | Observed Mortality (%) |
---|---|---|---|---|
≥2.000 | No | 7:00-22:00 | 0.8 | 1.3 |
1.000-1.999 | No | 7:00-22:00 | 5.4 | 3.0 |
No | 22:01-7:00 | 20.7 | 16.7 | |
Yes | 7:00-22:00 | 15.1 | 22.7 | |
Yes | 22:01-7:00 | 44.9 | 50.0 | |
750-999 | No | 7:00-22:00 | 8.5 | 13.3 |
No | 22:01-7:00 | 29.6 | 40.0 |
P019
Right ventricular pressure monitoring in acute ischemic right ventricular dysfunction: an animal model
EJ Couture1, K Moses2, MI Monte Garcia3, C Potes2, F Haddad4, L Gronlykke5, F Garcia2, E Paster2, A Denault6
1Institut Universitaire de Cardiologie et de Pneumologie de Québec, Anesthesiology and Intensive Care Medicine, Quebec, Canada, 2Edwards Lifesciences, Irvine, USA, 3Hospital Universitario SAS de Jerez, Intensive Care Medicine, Jerez de la Frontera, Spain, 4Stanford University, Cardiovascular Medicine, Stanford, USA, 5Copenhagen University Hospital, Anesthesiology, Copenhagen, Denmark, 6Montreal Heart Institute, Université de Montréal, Anesthesiology, Montreal, Canada
P020
Acute cor pulmonale and mortality in mechanically ventilated patients with COVID-19 acute respiratory distress syndrome
ED Valenzuela espinoza1, P Mercado2, R Pairumani3, N Medel4, E Petruska3, D Ugalde4, F Morales3, J Montoya4, D Eisen4, C Araya3
1Hospital Clínico Pontificia Universidad Católica de Chile, Intensive Care Medicine, Santiago, Chile, 2Clínica Alemana de Santiago, Departamento de Paciente Crítico, Santiago, Chile, 3Hospital Barros Luco Trudeau, Departamento de Paciente Crítico, Santiago, Chile, 4Hospital Clínico Universidad de Chile, Departamento de Paciente Crítico, Santiago, Chile
All n = 140 | Normal RV n = 86 | RV dilation n = 34 | ACP n = 20 | |
---|---|---|---|---|
RS compliance, ml/cmH2O | 33 [26-40] | 35 [27-40] | 32 [26-42] | 28 [20-37]* |
PCO2, mmHg | 43 [39-56] | 43 [39-53] | 45 [38-57] | 55 [43-65]* |
pH | 7.33 [7.24-7.38] | 7.33 [7.26-7.38] | 7.35 [7.24-7.40] | 7.24 [7.18-7.32]* |
NE, mcg/kg/min | 0.05 [0.03-0.14] | 0.05 [0.03-0.12] | 0.04 [0.01-0.08] | 0.20 [0.05-0.30]* |
LVOT VTI, cm | 20 [16-24] | 21 [17-24] | 18 [16-21] # | 16 [14-20]* |
TAPSE, mm | 20 [18-23] | 21 [18-23] | 22 [19-24] | 16 [13-20]* |
ICU mortality | 40 (29%) | 23 (27%) | 3 (9%) | 14 (70%)* |
P021
Right ventricular outflow tract analysis in the critically ill with sepsis
E Bowcock1, L Schramko1, B Gerhardy2, S Orde1
1Nepean Hospital, Intensive Care, Kingswood, Australia, 2Nepean Hospital, Respiratory Medicine, Kingswood, Australia
P022
Pulmonary artery systolic pressure at admission predicts ICU mortality in elderly critically ill with severe COVID-19 pneumonia
M Kurnik, H Božič, P Kolar, A Vindišar, M Podbregar, CE COVID-19 Study Group
General Hospital Celje, Department of Internal Intensive Medicine, Celje, Slovenia
Variable | All (n = 116) | ICU survivors (n = 58) | ICU non-survivors (n = 59) | p Value |
---|---|---|---|---|
PAPs, mmHg | 36.7±12.9 | 32.5±9.8 | 40.4±14.3 | 0.024 |
B-pattern, n (%) | 54 (47) | 19 (33) | 35 (59) | 0.005 |
Logistic regression | OR | 95%CI | p Value | |
PAPs—univariate | 1.0680 | 1.0071-1.1326 | 0.028 | |
B-pattern—univariate | 2.9167 | 1.3681-6.2182 | 0.006 | |
PAPs—multivariate | 1.0683 | 1.0108-1.1291 | 0.02 | |
B-pattern—multivariate | 2.8125 | 0.8258-9.5788 | 0.10 |
P023
Moderate elevations in positive end expiratory pressure (PEEP) in a patient with ARDS and severe systolic heart failure can decrease oxygen delivery: a case report
C David1, C Pierrakos2, R Attou2, K Kaefer2, D Velissaris3, PM Honore2, D De Bels2
1Institut Jules Bordet, Intensive Care, Brussels, Belgium, 2CHU Brugmann, Intensive Care, Brussels, Belgium,3University Hospital of Patras, Intensive Care, Pio, Greece
P024
Portal vein waveform may predict outcome in patients undergoing corrective surgery for tetralogy of Fallot
H Aggarwal1, G D Puri2, R Ganesan3, B Mandal3, RM Kumar4, SK Thingnam5
1Sector 12, Cardiac Anaesthesia, Chandigarh, India, 2Sector 12, Department of Anaesthesia and Intensive Care, Chandigarh, India, 3Sector 12, Anaesthesia and Intensive Care, Chandigarh, India, 4Sector 12, Cardiology, Chandigarh, India, 5Sector 12, Cardiothoracic and vascular surgery, Chandigarh, India
P025
Portal vein Doppler in high-risk cardiac surgery patients: a multicenter prospective cohort study
A Denault1, EJ Couture2, É De Medicis3, JK Shim4, M Mazzeffi5, RA Henderson5, S Langevin2, R Dhawan6, M Michaud7, W Beaubien-Souligny8
1Montreal Heart Institute, Université de Montréal, Anesthesiology, Montreal, Canada, 2Institut Universitaire de Cardiologie et de Pneumologie de Québec, Anesthesiology, Quebec, Canada, 3Centre Hospitalier de l’Université de Sherbrooke, Anesthesiology, Sherbrooke, Canada, 4Yonsei University College of Medicine, Anesthesiology and Pain Medicine, Seoul, South Korea, 5University of Maryland, Anesthesiology, Baltimore, USA, 6University of Chicago Medicine, Anesthesiology, Chicago, USA, 7Centre Hospitalier de l’Université de Montréal, Anesthesiology, Montreal, Canada, 8Centre Hospitalier de l’Université de Montréal, Nephrology, Montreal, Canada
P026
Phenotyping intraoperative hypotension using artificial intelligence in patients having major abdominal surgery
K Kouz1, L Brockmann1, LM Timmermann1, A Bergholz1, M Flick1, L Krause2, B Saugel1
1University Medical Center Hamburg-Eppendorf, Department of Anesthesiology, Hamburg, Germany, 2University Medical Center Hamburg-Eppendorf, Department of Medical Biometry and Epidemiology, Hamburg, Germany
P027
MRI as research tool for cuff-based physiological measurements
L Bogatu1, J Hoppenbrouwers2, H van den Bosch2, S Turco3, M Mischi3, J Muehlsteff4, L Schmitt4, P Woerlee3, H Korsten2, RA Bouwman2
1Eindhoven University of Technology, Philips Research, Biomedical Diagnostics, Patient Care and Measurements, Eindhoven, Netherlands, 2Catharina Ziekenhuis, Eindhoven, Netherlands, 3Eindhoven University of Technology, Eindhoven, Netherlands, 4Philips Research, Eindhoven, Netherlands
P028
Norepinephrine infusion titration at the early phase of septic shock: relevance of a transcranial Doppler based protocol
C Ben Miled1, A Ben Souissi1, M Sboui1, E Langar1, W Fguiri1, S Yamoun1, A Gharbi1, I Saddem1, J Hafedh1, MS Mebazaa2
1Mongi Slim University Hospital, Anesthesiology and ICU Department, La Marsa, Tunisia, 2Mongi Slim University Hospital, Anesthesiolgy and ICU, La Marsa, Tunisia
P029
Norepinephrine dose variation related effects on mean arterial pressure: preliminary results from the NOVAMAP study
F Moretto1, R Shi2, JL Teboul2, A Pavot2, C Lai2, N Fage2, S Ayed2, I Adda2, T Pham2, X Monnet2
1Université Paris-Saclay, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Le Kremlin-Bicêtre, France, 2Université Paris-Saclay, Le Kremlin-Bicêtre, France
P030
Impact of levosimendan use on survival of patients on veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support
WS Ng, KB Tang, HP Shum
Pamela Youde Nethersole Eastern Hospital, Department of Intensive Care, Chai Wan, Hong Kong, SAR China
P031
Cardiac output change predicts patient outcome
J Sahatjian1, MJ Javed2, HL Latham3, JR Rickelman4, DM Hansell5
1Baxter Healthcare, Newton Center, USA, 2Mercy Hospital, St, Louis, USA, 3Kansas University Hospital, Kansas City, USA, 4Blessing Hospital, Quincy, USA, 5Massachusetts General Hospital, Boston, USA
P032
Comparison of cardiac index measurement using continuous wave versus pulsed wave echo-Doppler compared to pulse contour cardiac output
J Powys-Lybbe1, P Parulekar1, P Bassett2, S Roques2, M Snazelle2, T Harris2
1William Harvey Hospital, Intensive Care Unit, Ashford, UK, 2William Harvey Hospital, Ashford, UK
Measurements | Mean difference l/min/m2 | SD difference | 95% B-A LOA | Percentage error |
---|---|---|---|---|
AV CI & PICCO CI | −0.16 | 0.62 | (−1.37, 1.05) | 1.96 × 0.62/0.5 × (2.70 + 2.86) = 43.5% |
LVOT CI & PICCO CI | −0.54 | 0.51 | (−1.53, 0.46) | 1.96 × 0.51/0.5 × (2.33 + 2.86) = 38.6% |
AV CI & LVOT CI | 0.38 | 0.59 | (−0.77, 1.52) | 1.96 × 0.59/0.5 × (2.33 + 2.70) = 46.0% |
P033
Microcirculatory tissue perfusion during general anaesthesia and non-cardiac surgery: an observational study using incident dark field imaging with automated video analysis
MF Flick1, THS Schreiber2, JM Montomoli3, LK Krause4, HDDB De Boer5, KK Kouz1, TWLS Scheeren6, CI Ince7, MH Hilty8, BS Saugel1
1University Medical Center Hamburg-Eppendorf, Department of Anesthesiology, Hamburg, Germany, 2University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 3Marche Politechnic University, Department of Biomedical Sciences and Public Health, Ancona, Italy, 4University Medical Center Hamburg-Eppendorf, Department of Medical Biometry and Epidemiology, Hamburg, Germany, 5Martini General Hospital Groningen, Department of Anesthesiology, Groningen, Netherlands, 6University Medical Center Groningen, Department of Anesthesiology, Groningen, Netherlands, 7Erasmus MC University Medical Center, Department of Intensive Care, Rotterdam, Netherlands, 8University Hospital of Zurich, Institute of Intensive Care Medicine, Zürich, Switzerland
P034
Mechanical complications after central venous catheterisation in the ultrasound-guided era: a prospective multicentre cohort study of 12 667 procedures
M Adrian1, O Borgquist1, T Kröger2, E Linné3, P Bentzer3, M Spångfors4, A Holmström5, J Åkeson5, R Linnér1, T Kander5
1Skåne University Hospital, Cardiothoracic Surgery, Anaesthesia and Intensive Care, Lund, Sweden, 2Lund University, Medical Faculty, Lund, Sweden, 3Helsingborg Hospital, Anaesthesia and Intensive Care, Helsingborg, Sweden, 4Kristianstad Hospital, Anaesthesia and Intensive Care, Kristianstad, Sweden, 5Skåne University Hospital, Anaesthesia and Intensive Care, Malmö, Sweden
Independent variables | Odds ratios | 95% Confidence intervals | p Values |
---|---|---|---|
BMI < 20 (1) | 2.63 | 1.20–5.32 | 0.010 |
BMI ≥30 (1) | 0.77 | 0.34–1.57 | 0.488 |
Positive pressure ventilation | 0.75 | 0.41–1.35 | 0.330 |
Male operator sex | 2.65 | 1.36–5.57 | 0.007 |
Limited operator experience (2) | 3.12 | 1.71–5.60 | < 0.001 |
No. of skin punctures | 2.11 | 1.58–2.72 | < 0.001 |
Observations = 10 634 |
P035
Role of N-terminal pro-B-type natriuretic peptide in early surgery of infective endocarditis due to acute heart failure
H Koltunova
Amosov National Institute of Cardiovascular Surgery National Academy of Medical Sciences of Ukraine, Anesthesiology, Kyiv, Ukraine
P036
Implementation of serum soluble ST2 in pediatric cardiology practice
A Bidzhiev1, R Tepaev1, Y Savluk1, V Lastovka2, E Basargina3, N Aliabeva4
1National Medical Research Center for Children’s Health, Pediatric Intensive Care Unit, Moscow, Russian Federation, 2Morozov Children’s Hospital, Urgent Cardiac Surgery Department, Russian Federation, 3National Medical Research Center for Children’s Health, Cardiology Department, Moscow, Russian Federation, 4National Medical Research Center for Children’s Health, Clinical Laboratory, Moscow, Russian Federation
P037
Factors affecting intensive care unit readmission among patients with ventricular assist device: ten years’ experience
BM Yurtsever1, N Akovalı1, H Şahintürk1, A Torgay1, P Zeyneloglu2
1Baskent University Faculty of Medicine, Anesthesiology and Critical Care, Ankara, Turkey, 2Baskent University Faculty of Medicine, Anesthesiology, Ankara, Turkey
P038
Echocardiographic technics for optimal atrio-ventricular (AV) interval election in dual-chamber pacemaker
O Moreno Romero1, M Muñoz Garach2, MT Cruces Moreno1, P Fernandez Morales1
1Hospital Universitario Clínico San Cecilio, Intensive Care Unit, Granada, Spain, 2Hospital Universitario Clínico San Cecilio, Critical Care, Granada, Spain
-
Calculating the AV by the Ritter's Method, using a short-AV interval of 50 ms and a long-AV interval of 200 ms. In all patient we assured using the mitral Doppler that there was neither E-A fusion nor truncated A wave.
-
Measuring the Time Velocity Integral (TVI) of the Left Ventriclular Outflow Tract (LVOT) at different AV intervals selected (100, 150, 180 and 200 ms), making the average of 3 cardiac cycles of each interval. The average time in applying both methods was noted.
P039
CO2 derived parameters from central venous blood sampling: correlation with severity and prognosis. a case series of 22 patients in a general ICU.
A Casazza, P Cornara, E Bellazzi, F Bonomi, D Ciprandi, R Preda, R Vanzino, MP Storti
ASST Pavia, Anaesthesia and Intensive Care Vigevano, Vigevano, Italy
P040
Central venous-to-arterial carbon dioxide tension in critically ill COVID-19 patients
K Kaefer1, C David2, D De Bels1, C Pierrakos1, S Fratino3, A Cudia3, D De Backer4
1CHU Brugmann, ICU, Laeken, Belgium, 2Institut Jules Bordet, ICU, Brussels, Belgium, 3CHIREC—Hôpital Delta, ICU, Brussels, Belgium, 4CHIREC Hospitals—Université Libre de Bruxelles, ICU, Brussels, Belgium
P041
Dynamics and viability of venous blood samples in critical care patients
KD Damgaard1, SF Fagerberg2, MK Pedersen1, ML Lumholdt2
1Regionshospital Nordjylland, Anesthesia, Hjoerring, Hjoerring, Denmark, 2University Hospital, Anesthesia and Intensive Care, Aalborg, Denmark
P042
Concordance of oxygen extraction values, arteriovenous oxygen difference and shunt calculated from venous gases and SpO2 compared with arteriovenous gases
LA León-Guerrero1, A Mondragon-Cardona1, JD Charry2, A Muñoz-Tovar1
1Universidad SurColombiana, Critical Medicine and Intensive Care, Neiva, Colombia, 2Universidad SurColombiana, Neiva, Colombia
P043
Correlation and concordance of the excess base with the hydrogen ion delta in critically patients from a reference center in Colombia
LA León-Guerrero1, A Mondragon-Cardona1, JD Charry2, A Muñoz-Tovar1
1Universidad SurColombiana, Critical Medicine and Intensive Care, Neiva, Colombia, 2Universidad SurColombiana, Neiva, Colombia
P044
Lactate and lactate-to-pyruvate ratio in critically ill COVID-19 patients: a pilot study
AG Vassiliou1, S Tsipilis2, C Keskinidou2, C Vrettou2, E Jahaj2, C Routsi2, SE Orfanos2, A Kotanidou2, I Dimopoulou2
1National and Kapodistrian University of Athens, 1st Department of Critical Care Medicine & Pulmonary Services, GP Livanos and M Simou Laboratories, Athens, Greece, 2National and Kapodistrian University of Athens, Athens, Greece
P045
Body mass index and lactate levels on admission predict ICU mortality in elderly critically ill with severe COVID-19 pneumonia
H Božič, M Kurnik, A Vindišar, P Kolar, M Podbregar, CE COVID-19 Study Group
General Hospital Celje, Department of Internal Intensive Medicine, Celje, Slovenia
Variable | All (n = 102) | ICU survivors (n = 51) | ICU non-survivors (n = 51) | p Value |
---|---|---|---|---|
BMI, kg/m2 | 29.3±5.2 | 30.5±5.6 | 28.1±4.5 | 0.020 |
Lactate at admission, mmol/l | 2.9±3.2 | 2.1±1.6 | 3.7±4.2 | 0.012 |
Logistic regression models | OR | 95%CI | p Value | |
BMI - univariate | 0.9151 | 0.8623-0.9711 | 0.01 | |
Lactate - univariate | 1.3033 | 1.0666-1.5926 | 0.0096 | |
BMI - multivariate | 0.9153 | 0.8610-0.9730 | 0.0045 | |
Lactate - multivariate | 1.3492 | 1.0856-1.6768 | 0.0069 |
P046
The effect of premorbid metformin use on lactate kinetics, kidney injury and mortality in patients with sepsis and septic shock: an observational study
N Van Moorter1, T Tackaert2, N De Neve3, B Van Vlem4, K De Decker3
1Ghent University Hospital, Internal Medicine, Ghent, Belgium, 2Ghent University Hospital, Emergency Medicine, Ghent, Belgium, 3OLVZ Aalst, Anaesthesiology and Critical Care Medicine, Aalst, Belgium, 4OLVZ Aalst, Nephrology, Aalst, Belgium
Users | Nonusers | p Value (users vs all non-users) | ||
---|---|---|---|---|
Diabetics | Nondiabetics | |||
ICU mortality, n (%) | 3 (9.4%) | 2 (13.3%) | 40 (31.3%) | 0.019 |
30-day mortality, n (%) | 6 (18.8%) | 5 (33.3%) | 44 (34.4%) | 0.087 |
90-day mortality, n (%) | 7 (21.9%) | 5 (33.3%) | 56 (43.8%) | 0.029 |
1-year mortality, n (%) | 10 (31.3%) | 7 (46.7%) | 66 (51.6%) | 0.043 |
P047
Body temperature and blood lactate production in coronary artery bypass grafting patients
D Lončar-Stojiljković1, MP Stojiljkovic2
1Institute for Cardiovascular Diseases Dedinje, Anesthesia and Intensive Care, Belgrade, Serbia, 2Faculty of Medicine, University of Banja Luka, Department of Pharmacology, Toxicology and Clinical Pharmacology, Banja Luka, Bosnia and Herzegovina
1 h | 2h | 3h | 4h | |
---|---|---|---|---|
Temp. | 35.18 ± 0.70 | 35.67 ±0.56* | 36.02 ± 0.4* | 36.46 ± 0.59* |
Venous | 2.65 ± 1.13 | 2.17 ± 1.08 | 1.62 ± 0.78* | 1.48 ± 0.61* |
Arterial | 2.31 ± 1.02 | 1.76 ± 0.99 | 1.5 ± 0.81 | 1.40 ± 0.59* |
Lact(diff) | 0.34 ± 0.11 | 0.41 ± 0.09 | 0.12 ± 0.04* | 0.08 ± 0.02* |
P048
The role of anion gap normalization time in the management of pediatric diabetic ketoacidosis. is it time for a new perspective?
I Lazar1, D Orlov2, G Hazan1, A Orbach3, A Hayim4, Y Cavari2, Y Feinstein2, E Neeman2, E Hershkovitz4, Y Faingelernt1
1Soroka Medical Center and the Faculty of Health Sciences, Ben Gurion University of the Negev, Pediatrics, Beer Sheva, Israel, 2Soroka Medical Center and the Faculty of Health Sciences, Ben Gurion University of the Negev, Pediatric Intensive Care Unit, Beer Sheva, Israel, 3Soroka Medical Center, Pediatric Intensive Care Unit, Beer Sheva, Israel, 4Soroka Medical Center and the Faculty of Health Sciences, Ben Gurion University of the Negev, Pediatric Endocrinology, Beer Sheva, Israel
P049
The management of profound hyponatraemia
A Baker, S Lobaz, P Duncan
Barnsley Hospital NHS Foundation Trust, Barnsley, UK
P050
Hypercalcemia after admission to intensive care unit is associated with mortality
Y Hayashi, N Iguchi, A Tanaka, A Uchiyama, Y Fujino
Osaka University Graduate School of Medicine, Department of Anesthesiology and Intensive Care Medicine, Suita-City, Japan
Hypercalcemia group N = 147 | Normal calcium group N = 2263 | p | |
---|---|---|---|
ICU mortality | 37 (25.2%) | 28 (1.2%) | < 0.001 |
Hospital mortality | 58 (39.5%) | 74 (3.3%) | < 0.001 |
Tracheostomy | 62 (42.2%) | 98 (4.3%) | < 0.001 |
Mechanical circulation support | 36 (24.5%) | 143 (6.3%) | < 0.001 |
Renal replacement therapy | 79 (53.7%) | 140 (6.2%) | < 0.001 |
Propensity score matching ICU mortality | 37/147 (25.2%) | 7/147 (4.8%) | < 0.001 |
Propensity score matching hospital mortality | 58/147 (39.5%) | 14/147 (9.5%) | < 0.001 |
P051
A hospital-wide quality improvement project to enhance patient handover between the emergency department and hospital wards
M Vreven1, H Vanden Eede1, J Bergs2
1AZ Rivierenland, Department of Anaesthesiology and Intensive Care, Rumst, Belgium, 2Hasselt University, Faculty of Medicine and Life Sciences, Hasselt, Belgium
P052
Elderly patients in the emergency department—a challenging job for emergency providers
A Mellouli, R Ghzel, Z Albatta, B Sakouhi, M Merchaoui
Ibn Jazzar University Hospital, Units of the Aghlabids, Emergency Department, Kairouan, Tunisia
P053
Reduction of emergency CT diagnostic in suspected pulmonary embolism—an age- and risk-adapted protocol
L Averhoff1, D Dürschmied2, K Müller-Peltzer3, CN Lang4, HJ Busch1, B Schmid1
1Medical Center – University of Freiburg, Department of Emergency Medicine, Freiburg im Br., Germany, 2Medical Center Mannheim, University of Heidelberg, Department of Medicine I, Mannheim, Germany, 3Medical Center – University of Freiburg, Department of Radiology, Freiburg im Br., Germany, 4Medical Center – University of Freiburg, Department of Medicine III (Interdisciplinary Medical Intensive Care), Freiburg im Br., Germany
P054
Routine D-dimer assessment for the prediction of pulmonary embolism in patients with COVID-19 pneumonia in the ICU
J Louwsma1, B Langeveld2, J Luyendijk3, H van den Oever1
1Deventer Hospital, Intensive Care Unit, Deventer, Netherlands, 2Deventer Hospital, Department of Pulmonology, Deventer, Netherlands, 3Deventer Hospital, Department of Radiology, Deventer, Netherlands
P055
Epidemiology and clinical characteristics of COVID-19 patients admitted to the emergency department
A Sghaier1, I Dlala2, N Chebbi2, A Belkacem2, S Bettout2, N Jerbi2, S Marghli2
1Taher Sfar Hospital, Mahida, Tunisia, 2Taher Sfar Hospital, Emergency Department, Mahida, Tunisia
P056
Descriptive epidemiology of COVID-19 death cases reported at the emergency department Taher Sfar Mahdia
A Sghaier, N Jerbi, M Ben Amira, A Marsit, N Farhat, S Bettout, I Dlala, S Marghli
Taher Sfar Hospital, Emergency Department, Mahida, Tunisia
P057
Psychological impact of COVID-19 pandemic assessed among emergency department consultants
A Jlidi, S Borji, W Farhat, Y Walha, EM Ben Othmane, A Abri, D Hamdi, N Nouira
Mongi Slim Academic Hospital, Emergency Department, La Mara, Tunisia
P058
Neutrophil-to-lymphocyte ratio on admission to predict mortality of COVID-19 patients admitted to the emergency department
A Sghaier, I Dlala, N Chebbi, F Ben Salem, N Farhat, S Bettout, N Jerbi, S Marghli
Taher Sfar Hospital, Emergency Department, Mahida, Tunisia
P059
Comparison of a cellular host response test to common sepsis indicators in a suspected infection population presenting to the emergency department (ED)
H O’Neal1, R Sheybani2, T Caffery3, H Tse2, A Shah2, C Thomas1
1LSU Health Sciences Center / Our Lady of the Lake Regional Medical Center, Pulmonary & Critical Care Medicine, Baton Rouge, LA, USA, 2Cytovale, LLC, Cytovale, San Francisco, CA, USA, 3LSU Health Sciences Center / Our Lady of the Lake Regional Medical Center, Emergency Medicine, Baton Rouge, LA, USA
AUC (95% CI) | Negative predictive value (95% CI) | Positive predictive value (95% CI) | Diagnostic odds ratio (95% CI) | |
---|---|---|---|---|
2+ SIRS | 0.56 (0.53–0.58) | 91.6 (84.1–95.6) | 22.3 (14.4–30.4) | 3.12 (0.6–7.7) |
qSOFA (≥ 2) | 0.63 (0.57–0.68) | 82.8 (73.6–88.6) | 41.8 (32.2–51.2) | 3.45 (0.6–7.7) |
WBC ( < 4 or > 12 ×103 cells/µl) | 0.61 (0.57–0.65) | 89.7 (81.9–94.3) | 25.6 (17.5–34.4) | 3.0 (0.6–7.7) |
Lactate (low < 2; high ≥ 4) | 0.72 (0.67–0.77) | 84.5 (72.1–91.4) | 52.8 (38.9–64.0) | 6.1 (1.7–14.8) |
APACHE II (≥ 15) | 0.64 (0.59–0.69 | 83.6 (74.6–89.4) | 28.2 (19.8–37.2) | 2.0 (0.2–6.4) |
SOFA (≥ 2 up to 24 hours following presentation) | 0.74 (0.69–0.78) | 93.3 (86.3–96.8) | 28.5 (19.8–37.2) | 5.56 (2.0–11.4) |
IntelliSep Index (low Green band; high Red band) | 0.88 (0.84–0.91) | 95.7 (88.1–98.7) | 64.5 (52.6–74.1) | 40.2 (29.2–51.1) |
P060
Prediction of safe discharge of emergency department patients with suspected acute infection using a 29-mRNA host response test
E Diehl-Wiesenecker1, N Galtung1, F Uhle2, O Liesenfeld2, W Bauer1
1Charité-University Medicine, Emergency Department, Berlin, Germany, 2Inflammatix, Burlingame, USA
P061
A novel transcriptomic host response classifier accurately predicts bacterial infections and 30-day mortality among critically ill surgical patients
L Moldawer1, UI Chen2, R Bacher3, L Zhong1, T Loftus1, P Starostik4, O Liesenfeld5, U Midic2, T Sweeney2, S Brakenridge1
1University of Florida College of Medicine, Sepsis and Critical Illness Research Center, Department of Surgery, Gainesville, FL, USA, 2Inflammatix Inc, Burlingame, USA, 3University of Florida College of Medicine, Gainesville, FL, USA, 4University of Florida College of Medicine, Department of Pathology, Gainesville, FL, USA, 5Inflammatix Inc, Clinical Affairs, Burlingame, USA
P062
Extracellular plasma DNA levels limit the predictive value of genetic TLR9 variant rs352162 in multimorbidity sepsis patients
V Pisarev1, A Chumachenko2, E Grigoriev3, E Ershova4, S Kostyuk4, D Shlykova2
1Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A.Negovsky Institute of General Reanimatology, Moscow, Russian Federation, 2Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russian Federation, 3O.M. Filatov’ City Clinical Hospital, Moscow, Russian Federation, 4Research Centre for Medical Genetics, Moscow, Russian Federation
P063
Usefulness and cost-effectiveness of procalcitonin in critical care patients admitted to the East Sussex Healthcare NHS Trust (ESHT)
C Cabaret1, J Evans1, J Perrins2
1East Sussex NHS Healthcare Trust, Anaesthetics and Critical Care Medicine, Eastbourne, UK, 2East Sussex NHS Healthcare Trust, Pharmacy, Eastbourne, UK
P064
Early prediction of sepsis in intensive care patients using a machine learning algorithm, a randomized clinical validation trial
F Sjövall1, I Persson2
1Carl Bertil Laurells Gata 9, Intensive Care Unit, Malmö, Sweden, 2Department of Statistics, Department of Statistics, Uppsala, Sweden
P065
NEWS2 predicts severity of underlying inflammatory response and outcome in COVID-19 patients
MT Howard1, O Watson2, JC Zaldua2, S Pillai2, J Whitley2, M Lawrence3, K Hawkins3, O Guy3, PA Evans2
1Welsh Centre for Emergency Medicine Research, Emergency Department, Swansea, UK, 2Welsh Centre for Emergency Medicine Research, Swansea, United Kingdom, 3Swansea University, Swansea, UK
P066
Using the cardio-vascular index (CVRI) to predict mortality in septic shock
O Raphaeli1, I Bendavid1, C Hajaj2, L Statlander1, A Goldstein2, E Chen2, P Singer, U Gabbay
1Beilinson Hospital, Intensive Care Unit, Petah Tikva, Israel, 2Ariel University, Industrial Engineering and Management, Ariel, Israel, 3Beilinson Hospital, Quality and Safety Department, Petah Tikva, Israel
P067
Relationship between the procalcitonin levels and clot microstructure in acute exacerbation of chronic obstructive pulmonary disease (AECOPD)
S Pillai1, M Lawrence1, JC Zaldua1, J Whitley1, O Watson1, M Howard1, K Harrison2, K Hawkins3, K Morris4, PA Evans1
1Welsh Centre for Emergency Medicine Research, Emergency Department, Morriston Hospital, Swansea, UK, 2Morriston Hospital, Swansea, UK, 3Swansea University, Swansea, UK, 4Cardiff Metropolitan University, Cardiff, UK
P068
Performance of ED and discharge diagnosis of sepsis against objective assessments underscores the need for a reliable diagnostic
H O’Neal1, R Sheybani2, T Caffery3, D Hamer4, D Burgin4, S Alwood3, T Jagneaux1, C O’Neal5, A Shah2, C Thomas1
1LSU Health Sciences Center / Our Lady of the Lake Regional Medical Center, Pulmonary & Critical Care Medicine, Baton Rouge, LA, USA, 2Cytovale, LLC, Cytovale, San Francisco, CA, USA, 3LSU Health Sciences Center / Our Lady of the Lake Regional Medical Center, Emergency Medicine, Baton Rouge, LA, USA, 4LSU Health Sciences Center / Our Lady of the Lake Regional Medical Center, Internal Medicine, Baton Rouge, LA, USA, 5LSU Health Sciences Center / Our Lady of the Lake Regional Medical Center, Infectious Diseases, Baton Rouge, LA, USA
ED DIAGNOSIS | Discharge diagnosis | Objective assessment (3 days post presentation) | |
---|---|---|---|
AUC (95% CI) | 0.79 (0.74–0.83) | 0.78 (0.74–0.82) | 0.87 (0.83–0.90) |
Positive percent agreement/sensitivity (95% CI) | 65.3 (56.1–73.7) | 63.6 (54.4–72.2) | 86.0 (78.5–91.6) |
Negative percent agreement/specificity (95% CI) | 91.7 (85.3–96.0) | 92.5 (85.3–96.0) | 87.4 (79.4–92.2) |
Diagnostic odds ratio (95% CI) | 20.9 (13.8–29.0) | 21.5 (13.8–29.0) | 42.6 (33.2–51.5) |
P069
Prospective evaluation of the PAWSS ability to detect alcohol withdrawal in ICU patients.
M Geslain, E Lucchese, X Chapalain, O Huet
CHRU Brest, Brest, France
P070
Perioperative red blood cell transfusion in cytoreductive surgery with hyperthermic intraperitoneal chemotherapy
GA Madrid1, E Celis2, OA Ballesteros2, S Pabón1, EE Rodríguez2
1Fundación Santa Fe de Bogotá, Anesthesiology Department, Bogotá, Colombia, 2Fundación Santa Fe de Bogotá, Intensive Care Department, Bogotá, Colombia
P071
Viscoelastic hemostatic assays and coagulopathy in patients with sepsis
TH Yeoh, PY Ng
Queen Mary Hospital, Adult Intensive Care Unit, Hong Kong, Hong Kong, SAR China
P072
Clot microstructure (df) as a biomarker and measurement of thrombogenicity in acute exacerbation of chronic obstructive pulmonary disease (AECOPD)
S Pillai1, JC Zaldua1, M Lawrence1, J Whitley1, M Howard1, O Watson1, K Harrison2, K Hawkins3, K Morris4, PA Evans1
1Welsh Centre for Emergency Medicine Research, Emergency Department, Morriston Hospital, Swansea, UK, 2Morriston Hospital, Swansea, UK, 3Swansea University, Swansea, UK, 4Cardiff Metropolitan University, Cardiff, UK
P073
The FiiRST-2 prospective, randomized study of clotting factor concentrates versus standard massive hemorrhage protocol in severely bleeding trauma patients
L Da luz1, J Callum2, A Beckett3, H Peng4, P Engels5, N Parry6, H Tien7, A Nathens7, B Schwartz8, K Karkouti9
1Sunnybrook Health Sciences Centre, Department of Surgery, Toronto, Canada, 2Kingston Health Sciences Centre, Kingston, Canada, 3Saint Michael’s Hospital, Toronto, Canada, 4Defence Research and Development Canada, Toronto Research Center, Toronto, Canada, 5Hamilton General Hospital, Hamilton, Canada, 6London Health Sciences Centre, London, Canada, 7Sunnybrook Health Sciences Centre, Toronto, Canada, 8Octapharma, Paramus, USA, 9University Health Network, Sinai Health System, and Women’s College Hospital, Department of Anesthesia and Pain Management, Toronto, Canada
P074
Weight-adjusted dosing of fibrinogen concentrate and cryoprecipitate in the treatment of hypofibrinogenemic bleeding adult cardiac surgical patients: a post hoc analysis of the FIBRES randomized controlled trial
J Bartoszko1, C Devine2, J Callum3, K Karkouti1
1University Health Network, Sinai Health System, Women’s College Hospital, University of Toronto, Department of Anesthesia and Pain Management, Toronto, Canada, 2University of Ottawa, Department of Anesthesiology and Pain Medicine, Ottawa, Canada, 3Kingston Health Sciences Centre, Kingston, Canada
Quartile | Fibrinogen concentrate | Cryoprecipitate | ||
---|---|---|---|---|
Mean (SD) dosing (mg/kg) | Relative risk (95% CI); p value | Mean (SD) dosing (IU/10 kg) | Relative risk (95% CI); p value | |
1 | 40 (5) | Reference | 1.01 (0.09) | Reference |
2 | 49 (2) | 1.04 (0.77, 1.40); p = 0.81 | 1.21 (0.06) | 0.82 (0.52, 1.27); p = 0.37 |
3 | 57 (2) | 0.89 (0.70, 1.15); p = 0.38 | 1.39 (0.06) | 1.17 (0.85, 1.60); p = 0.33 |
4 | 71 (10) | 0.90 (0.71, 1.13); p = 0.36 | 1.78 (0.22) | 1.04 (0.76, 1.43); p = 0.80 |
P075
Phenogrouping of hemorrhagic trauma patients using latent variable machine learning
C Nagpal1, A Dubrawski2
1Carnegie Mellon University, Pittsburgh, USA, 2Carnegie Mellon University, School of Computer Science, Pittsburgh, USA
P076
A phase 3, randomized, double-blinded study of four-factor prothrombin complex concentrate in patients with acute major bleeding on direct oral anticoagulant therapy with factor Xa inhibitors: the LEX-210 study
R Sarode1, S Maack2, C Solomon2, S Knaub2, S Schulman3
1UT Sothwestern, Dallas, USA, 2Octapharma, Octapharma AG, Lachen, Switzerland, 3McMaster University, Thrombosis and Atherosclerosis Research Institute and Dept of Medicine, Hamilton, Canada
P077
Impaired fibrinolysis is implicated in mortality in COVID-19 infection
O Watson1, M Howard2, J Cezar-Zaldua2, J Whitley2, S Pillai2, M Lawrence2, B Burgess2, K Hawkins3, K Morris4, PA Evans2
1Welsh Centre for Emergency Medicine Research, Emergency Department, Swansea, UK, 2Welsh Centre for Emergency Medicine Research, Swansea, UK, 3Swansea University, Swansea, UK, 4Cardiff Metropolitan University, Cardiff, UK
P078
Viscoelastic testing in COVID-19 infection demonstrates a resistance to low molecular weight heparin
O Watson1, M Howard2, J Cezar-Zaldua2, J Whitley2, S Pillai2, M Lawrence2, K Guy2, K Hawkins3, K Morris4, PA Evans2
1Welsh Centre for Emergency Medicine Research, Emergency Department, Swansea, UK, 2Welsh Centre for Emergency Medicine Research, Swansea, UK, 3Swansea University, Swansea, United Kingdom, 4Cardiff Metropolitan University, Cardiff, UK
P079
Caplacizumab rapidly inhibits vWF–platelet interaction: pharmacodynamic data from healthy volunteers and patients with aTTP
F Callewaert1, J Minkue Mi Edou2, R De Passos Sousa3
1Sanofi, Diegem, Belgium, 2Sanofi, Ghent, Belgium, 3Sanofi, Lisbon, Portugal
10 mg IV | 10 mg IV | 10 mg SC | 10 mg SC | |
---|---|---|---|---|
Analysis time point at Day 1, n (%) | White (n = 8) | Japanese (n = 8) | White (n = 8) | Japanese (n = 8) |
1 hour post-dose: RICO < 20% / RICO ≥20% | 7 (87.5) / 1 (12.5) | 8 (100.0) / 0 | 4 (50.0) / 4 (50.0) | 4 (50.0) / 4 (50.0) |
3 hours post-dose: RICO < 20% / RICO ≥20% | 8 (100.0) / 0 | 8 (100.0) / 0 | 8 (100.0) / 0 | 8 (100.0) / 0 |
24 hours post-dose: RICO < 20% / RICO ≥20% | 6 (75.0) / 2 (25.0) | 8 (100.0) / 0 | 8 (100.0) / 0 | 8 (100.0) / 0 |
48 hours post-dose: RICO < 20% / RICO ≥20% | 1 (12.5) / 7 (87.5) | 0 / 8 (100.0) | 5 (62.5) / 3 (37.5) | 6 (75.0) / 2 (25.0) |
72 hours post-dose: RICO < 20% / RICO ≥20% | 0 / 8 (100.0) | 0 / 8 (100.0) | 0 / 8 (100.0) | 0 / 8 (100.0) |
P080
Caplacizumab induces fast and durable platelet count responses with improved time to complete remission and recurrence-free survival in patients with acquired thrombotic thrombocytopenic purpura
P Coppo1, M Scully2, J De la Rubia3, F Peyvandi4, S Cataland5, JA Kremer Hovinga6, P Knoebl7, K Pavenski8, J Minkue Mi Edou9, R De Passos Sousa10
1Saint-Antoine University Hospital, AP-HP, Paris, France, 2University College London Hospital, London, UK, 3Catholic University of Valencia; Hospital Doctor Peset, Valencia, Spain, 4Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico; Università degli Studi di Milano, Milan, Italy, 5The Ohio State University, Columbus, OH, USA, 6Inselspital, Bern University Hospital, University of Bern, Bern, Germany, 7Medical University of Vienna, Wien, Austria, 8St. Michael’s Hospital, University of Toronto, Toronto, Canada, 9Ablynx, a Sanofi company, Zwijnaarde, Belgium, 10Sanofi, Lisbon, Portugal
P081
Evaluation of a pharmacist-led protocol for antixa-based enoxaparin dosing in trauma patients
JE Murphy, EN Morales, TS Lam, JT Jancik
Hennepin Healthcare, Department of Clinical Pharmacy, Minneapolis, USA
All patients, N = 635 | BMI < 40 kg/m2, N = 569 | BMI > 40 kg/m2, N = 66 | |
---|---|---|---|
Median time to goal aXa (days)[IQR] | 2 [2–4] | 2 [2–4] | 3 [2–4] |
AXa within goal at first check [%] | 274/635 [43.2%] | 254/569 [44.6%] | 20/66 [30.3%] |
Rate of VTE [%] | 11/635 (1.73%) | 10/569 [1.76%] | 1/66 [1.51%] |
Rate of bleeding [%] | 4/635 (0.63%) | 4/569 [0.70%] | 0/66 [0.00%] |
P082
Perioperative behavior of inflammatory markers in cytoreductive surgery with hyperthermic intraperitoneal chemotherapy
GA Madrid1, CA Triana1, EE Rodríguez2, ES Calle3
1Fundación Santa Fe de Bogotá, Anesthesiology Department, Bogotá, Colombia, 2Fundación Santa Fe de Bogotá, Intensive Care Department, Bogotá, Colombia, 3Universidad de los Andes, School of Medicine, Bogotá, Colombia
P083
Chimeric antigen receptor (CART) cell therapy: experience from a specialist cancer intensive care unit
A Patel1, K Naik1, E Nicholson2, P Gruber1
1The Royal Marsden Hospital, Intensive Care Unit, London, UK, 2The Royal Marsden Hospital, Haematology, London, UK
Grade | Number of patients | % of cohort | Median day of onset (IQR) | |
---|---|---|---|---|
CRS | ≥1 | 19 | 95 | 1 (1–3) |
3 or 4 | 5 | 25 | ||
ICANS | ≥1 | 9 | 45 | 7 (4–8) |
3 or 4 | 5 | 25 |
P084
Incidence of persistent ventilation following emergency laparotomy—admission to an intensive care unit over 2 years
N Boyer1, K Mensah1, V Bennett2, S Green1, P Alexopolou2, S Huddart2, L Forni1, B Creagh-Brown1
1Royal Surrey County Hospital, Intensive Care Department, Surrey, UK, 2Royal Surrey County Hospital, Anaesthetics Department, Surrey, UK
All patients (n = 195) | Persistent ventilation (n = 54) | Self-ventilating (n = 141) | |
---|---|---|---|
Age, mean (SD) | 66.7 (15.21) | 68.8 (13.8) | 65.9 (15.83) |
APACHE II score, median, (IQR) | 12.0 (6) | 13.0 (10.5–16) | 12 (9–14) |
pH, median, (IQR) | 7.36 (0.09) | 7.32 (7.25–7.36) | 7.37 (7.33–7.44) |
Lactate, median (IQR) | 1.1 (1.0) | 1.5 (1.0–3.025) | 1 (0.1–1.6) |
Noradrenaline dose (mcg/kg/min), median, (IQR) | 0.11 (0.24) | 0.18 (0.08–0.48) | 0 (0.00–0.03) |
Hospital LOS, median (IQR) | 12.0 (14.0) | 21.5 (12–33.25) | 11.0 (7–16) |
Moderate/ Severe ARDS, number (%) | 17 (31%) |
P085
INTREPID project: intelligent toolkit for reconnaissance and assessment in perilous incidents
AM Cintora1, S Gomez de la Oliva2, P Blanco Hermo2, FJ Hernandez Prieto2, MD Semprun2, C Mendez2, C Navarro Sanguino2
1SUMMA 112, Research Department of Emergency Service Madrid Community SUMMA 112, Madrid, Spain, 2SUMMA 112, Madrid, Spain
-
To develop tools to facilitate the exploration and assessment of potentially hazardous inhabited spaces.
-
To improve the safety and efficiency of first responders [2].
-
Mobile platform for scanning and assessment of a disaster area, for multidisciplinary teams
-
Drones and robots that will act as cybernetic assistants.
-
Positioning, mapping and environmental assessment module.
-
Tactical communications system for disasters.
-
Metro flooding on 2 November 2021
-
Positioning accuracy of indoor UAV 10 cm 50
-
Ability to climb stairs and an arm reach of 1.3 m
-
Min range of network full unit 1 km
-
Max deployment time of network full unit 10
-
Number of concurrent users of network full unit 20 Subject
P086
Burden of decision making and cognitive function amongst high consequence decision-makers in intensive care
N Khalil, P Shah, J Chui, P Kotecha, M O’Connor, V Sathianathan
Northwick Park Hospital, Intensive Care Unit, London, UK
Consultant number | 1 | 2 | 3 | 4 |
---|---|---|---|---|
Change in DFS score | +23 | +32 | +24 | N/A |
Change in reaction time | +133% | +100% | +24% | +14.6% |
Morning decisions | 218 | 250 | 321 | 158 |
Morning interruptions | 48 | 60 | 33 | 20 |
Afternoon decisions | 123 | 92 | 63 | 85 |
Afternoon interruptions | 14 | 13 | 5 | 11 |
P087
Comparison of the psychological impact between critical care and non-critical care nurses during the first year of the COVID-19 pandemic
M Vreven, H Vanden Eede
AZ Rivierenland, Department of Anaesthesiology and Intensive Care, Rumst, Belgium
ED nurse | ICU nurse | Non-critical care nurse | p value | |
---|---|---|---|---|
IES-r score (traumatic impact); median | 12.0 | 16.5 | 10.0 | 0.025 (Dunn’s test) |
Sadness towards possible COVID-19 exposure | 8.1% | 11.8% | 3.1% | 0.026 (Fisher’s Exact) |
Sufficiently safe | 67.6% | 92.0% | 72.6% | 0.008; .003 (Fisher’s Exact) |
Passive leisure time inside | 24.2% | 41.7% | 18.1% | < 0.001 (Chi2) |
Hobbies as leisure time | 27.3% | 29.2% | 13.2% | 0.011 (Chi2) |
Full commitment towards patient care | 83.3% | 89.6% | 95.7% | 0.006 (Chi2) |
Sufficiently prepared for new outbreak | 40.0% | 77.3% | 72.9% | 0.016 (Chi2) |
P088
Impact of extracorporeal membrane oxygenation on burnout development in intensive care units
A Omar1, A Labib2, S Hanoura2, A Rahhal2, R Kaddoura2, T Chughtai2, E Karic2, M Shaikh2, W Hamad2, M Khatib2
1Hamad Medical Corporation, Cardiothoracic Surgery, Doha, Qatar, 2Hamad Medical Corporation, Doha, Qatar
P089
The impact of COVID-19 pandemic on intensive care workload at Mater Dei Hospital in Malta.
C Mizzi, MB Buttigieg, S Sciberras, C Tua, S Santucci, K Torpiano, N Grech, M Drake, B Spiteri
Mater Dei Hospital, Intensive Care, Msida, Malta
P090
Analysis of mitochondrial function in COVID-19 patients using in vivo and ex vivo techniques
LWJM Streng1, EG Mik1, CJ De Wijs1, NJH Raat1, PAC Specht1, M Van der Kaaij1, MH Wijnen1, D Sneiders1, H Endeman2, FA Harms1
1Erasmus MC, Anesthesiology, Rotterdam, Netherlands, 2Erasmus MC, Intensive Care Unit, Rotterdam, Netherlands
P091
Naive T and B cells in COVID-19 patients
M Khadzhieva1, A Gracheva2 L Salnikova2, A Kuzovlev3
1Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology; Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology; Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russian Federation, 2Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology; Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russian Federation, 3Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russian Federation
P092
First own experience of intensive care multisystem inflammatory syndrome in children (MIS-C) associated with COVID-19.
I Yovenko1, D Gavrychenko2, N Belyakov2
1Medical Home Odrex, Department of Anesthesiology and Intensive Care, Odessa, Ukraine, 2Medical Home Odrex, Odessa, Ukraine
P093
Impact of COVID-19 on critical care nosocomial infection rates
S Helyar, D Hadfield, K O’Reilly, J Smith, P Hopkins
King’s College Hospital, ACET Research Team, London, UK
CCNI | Pre COVID | Peak COVID | Non-COVID CCNI mortality | |
---|---|---|---|---|
All gram -ve | 4.1% | 4.1% | Pre COVID | Post COVID |
All gram +ve | 4.1% | 8.6% | 13.7% | 23.5% |
MRSA | 1.4% | 1.3% | *Significant at 0.05 level | |
VRE | 2.0% | 3.1% | ||
C. Diff* | 0.4% | 3.6% | ||
Fungus | 0.2% | 0.7% | ||
All CCNI* | 1.6% | 3.6% |
P094
Culture positivity is a strong prognostic indicator of in-hospital mortality for COVID-19 patients with sepsis
MJP Patton1, AG Gagger2, NE Erdmann3, CH Orihuela4, KH Harrod5, MM Might1
1University of Alabama at Birmingham, Hugh Kaul Precision Medicine Institute, Birmingham, USA, 2University of Alabama at Birmingham, Department of Medicine, Division of Pulmonary, Allergy and Critical Care and Program in Protease and Matrix Biology, Birmingham, USA, 3University of Alabama at Birmingham, Department of Medicine, Division of Infectious Diseases, Birmingham, USA, 4University of Alabama at Birmingham, Microbiology, Birmingham, USA, 5University of Alabama at Birmingham, Department of Anesthesiology and Perioperative Medicine, Birmingham, USA
P095
Organising pneumonia due to COVID-19 and its impact on prognosis
M Maneira Sousa1, M Adao-Serrano1, B Rodrigues2, S M Fernandes1, JM Ribeiro1
1Centro Hospitalar Universitário Lisboa Norte, Serviço Medicina Intensiva, Lisbon, Portugal, 2Faculdade de Medicina de Lisboa, Universidade de Lisboa, Lisbon, Portugal
P096
Characteristics and outcomes of critical COVID patients in the intensive care unit
J Rua1, AS Alves1, D Viana1, D Roriz2, H Santos3, AL Dias4, I Militão3, JM Maia3, N Barros3, F Esteves3
1Centro Hospitalar Trás-os-Montes e Alto Douro, Internal Medicine, Vila Real, Portugal, 2Centro Hospitalar Trás-os-Montes e Alto Douro, Anesthesiology, Vila Real, Portugal, 3Centro Hospitalar Trás-os-Montes e Alto Douro, Intensive Care, Vila Real, Portugal, 4Centro Hospitalar de São João, Anesthesiology, Porto, Portugal
P097
The usage of the immunosuppressant agents and secondary infections in patients with COVID-19 in intensive care unit: a retrospective study
ZT Sarikaya1, B Gucyetmez2, F Tuzuner3, O Dincer4, C Sahan5, L Telci6, IO Akinci7, C COVID-19 Study Group8
1Acıbadem Mehmet Ali Aydınlar University School of Medicine, Department of Anesthesiology and Reanimation, Istanbul, Turkey, 2Acıbadem Mehmet Ali Aydınlar University School of Medicine, Istanbul, Turkey, 3General Intensive Care Unit, Acıbadem Taksim Hospital, Istanbul, Turkey, Istanbul, Turkey, 4General Intensive Care Unit, Acıbadem Atakent Hospital, Istanbul, Turkey, 5General Intensive Care Unit, Acıbadem Maslak Hospital, Istanbul, Turkey, 6General Intensive Care Unit, Acıbadem International Hospital, Istanbul, Turkey, 7General Intensive Care Unit, Acıbadem Altunizade Hospital, Istanbul, Turkey, 8Acibadem Health Group, Acibadem Health Group, Istanbul, Turkey
P098
Prediction model for outcomes following tocilizumab treatment for severe COVID-19 pneumonia.
K Singla1, G Puri1, S Niyogi1, V Mahajan1, K Kajal1, A Bhalla2
1Post Graduate Institute of Medical Education and Research, Department of Anaesthesia and Intensive Care, Chandigarh, India, 2Post Graduate Institute of Medical Education and Research, Chandigarh, India
P099
Early dexamethasone treatment does not alter the development of pulmonary fibroproliferation in critically ill COVID-19 patients
EJ Kooistra1, AE Van Herwaarden2, J Gerretsen3, RL Smeets2, S Van der Velde3, MJW Van den Berg3, JG Van der Hoeven3, M Kox3, P Pickkers3
1Radboudumc, intensive Care, Nijmegen, Netherlands, 2Radboudumc, Department of Laboratory Medicine, Nijmegen, Netherlands, 3Radboudumc, Department of Intensive Care Medicine, Nijmegen, Netherlands
P100
Management of steroid induced hyperglycaemia in patients critically unwell with COVID-19
B Gay, R Mohamed, M Ghannam, K Brown, O Creswell, B Scrace
Royal Cornwall Hospital, Intensive Care Unit, Truro, UK
P101
SARS-CoV-2 associated aspergillus and HSV opportunistic infections
P Bral1, S Thiesen2, W Boer2, T Fivez2, M Vanderlaenen2, K Engelen2, D Mesotten2, X Willaert2
1ZOL Genk, Anesthesiology, Genk, Belgium, 2ZOL Genk, Intensive Care, Genk, Belgium
P102
Impact of steroid therapy on bacterial and fungal superinfections in patients with severe COVID-19 admitted to ICU.
P Giaccaglia1, E Casarotta2, M Antonini1, F Barsotti1, G Galli1, G Indri1, A Martini1, E Compagnucci1, F Uehelie1, A Donati1
1Università Politecnica delle Marche, Biomedical Sciences and Public Health, Ancona, Italy, 2Università Politecnica delle Marche, Biomedical Sciences, Ancona, Italy
Clinical features | Patients receiving steroids (n = 82) | Patients not receiving steroids (n = 50) | p Value (unpaired t-test or Mann-Whitney U test) |
---|---|---|---|
Age, years | 67 [59-74] | 60.5 [50-68] | < 0.01* |
SOFA score | 7.14 ± 1.98 | 7.94 ± 1.69 | 0.02* |
PaO2/FiO2 | 107 [75-164] | 118 [84.5-193.5] | 0.34 |
Leukocytes, × 103/mm3 | 10.81 [7.93-15.25] | 10.00 [6.94-13.08] | 0.11 |
Lymphocytes, × 103/mm3 | 0.50 [0.35-0.76] | 0.54 [0.36-0.87] | 0.31 |
Procalcitonin, ng/ml | 0.27 [0.11-0.7] | 0.55 [0.19-1.59] | 0.02 * |
P103
Acquired infections in intensive care unit (ICU) COVID-19 patients
J Rua1, AS Alves1, M Contente2, J Rodrigues3, R Amaral2, AL Dias4, AV Cristino2, JM Maia2, N Barros2, F Esteves2
1Centro Hospitalar Trás-os-Montes e Alto Douro, Internal Medicine, Vila Real, Portugal, 2Centro Hospitalar Trás-os-Montes e Alto Douro, Intensive Care, Vila Real, Portugal, 3Hospital Sousa Martins—Unidade Local de Saúde de Guarda, Internal Medicine, Guarda, Portugal, 4Centro Hospitalar de São João, Anesthesiology, Porto, Portugal
P104
The rate of secondary infections and diagnostic challenges in critically ill patients with COVID-19
G McCreath1, MRS Ralston2, AJ Roe1, MJ Watson3, MAB Sim3
1Institute of Infection, Immunity & Inflammation, University of Glasgow, Glasgow, UK, 2Institute of Cardiovascular & Medical Science, University of Glasgow, Glasgow, UK, 3School of Medicine, Dentistry & Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
P105
Evaluation of the utility of bioelectrical impedance analysis as a bedside tool to monitor the volume of distribution of hydrophilic antibiotics in critically ill patients
B Mertens1, E Simons2, Y Debaveye3, J Wauters4, I Spriet1, M Gijsen1
1KU Leuven, Department of Pharmaceutical and Pharmacological Sciences, Leuven, Belgium, 2University Hospitals Leuven, Pharmacy Department, Leuven, Belgium, 3KU Leuven, Department of Cellular and Molecular Medicine, Leuven, Belgium, 4KU Leuven, Department of Microbiology, Immunology and Transplantation, Leuven, Belgium
Piperacillin-tazobactam: median [IQR] (n = 55) | Piperacillin-tazobactam: median [IQR] ∆ (n = 34) | Vancomycin: median [IQR] (n = 25) | Vancomycin: median [IQR] ∆ (n = 18) | |
---|---|---|---|---|
TBW (l) | 42.3 [36.9;46.7] | −0.4 [−2.1;0.7] | 44.3 [37.6;48.7] | −1.2 [−3.5;0.8] |
ECW (l) | 20.4 [18.4;23.5] | −0.1 [−1.1;0.3] | 20.2 [19.4;25.7] | −0.3 [−0.9;0.6] |
ICW (l) | 21.8 [17.9;23.8] | −0.3 [−1.1;0.6] | 23.6* [17.7;27.1] | −0.3 [−1.7;0.1] |
FFMH (%) | 78.2 [74.0;80.5] | −0.4 [−1.5;0.6] | 77.2 [76.3;82.6] | −0.4 [−2.7;1.8] |
Excess fluid (l) | 2.8 [0.2;6.2] | −0.2 [−1.1;0.2] | 3.3 [1.9;6.7] | −0.3 [−1.3;1.4] |
Vd (l) | 25.5 [16.6;40.1] | −1.1 [−10.7;17.0] | 82.5 [46.2;114.5] | −7.0 [−26.3;16.4] |
Vd (l/kg) | 0.35 [0.25;0.59] | −0.02 [−0.19;0.23] | 1.10 [0.70;1.55] | −0.09 [−0.36;0.22] |
P106
The burden of ventilator-associated pneumonia and its impact in hospital resources in ICU patients: a national, multicenter, retrospective study (EVAP-PT study)
J Duarte1, P Mergulhao2, J Gonçalves Pereira3, L Pássaro1, F Froes4
1MSD Portugal, Medical Affairs, Paço de Arcos, Portugal, 2Hospital Lusíadas, Intensive Medicine, Hospital Lusíadas, Porto, Porto, Portugal, 3Hospital Vila Franca de Xira, Intensive Medicine, Hospital Vila Franca de Xira, Vila Franca de Xira, Portugal, 4Entro Hospitalar Universitário Lisboa Norte, Hospital Pulido Valente, Lisboa, Portugal
P107
Feasibility, usefulness and clinical results in the implementation of a CAPA active surveillance protocol.
MC Soriano, M López-Olivencia, J Higuera Lucas, G Narváez Chávez, L López Vergara, I Pozuelo Echegaray, R Marín Ráez, S García Plaza, S Sáez Noguero, R De Pablo
Hospital Universitario Ramón y Cajal, Intensive Care Department, Madrid, Spain
P108
Healthcare-associated infections (HAI) in trauma patients admitted to ICU
CD Dominedò1, GS Saltelli1, BM Mariani2, AM Martinotti1, EG Cingolani1
1San Camillo Forlanini Hospital, Department of Shock and Trauma, Rome, Italy, 2San Camillo Forlanini Hospital, Microbiology and Virology, Rome, Italy
Total population (n = 142) | Infected group (n = 95) | No infected Group (n = 47) | |
---|---|---|---|
Male sex n (%) | 109 (76.8%) | 77 (77.9%) | 35 (74.5%) |
Age (mean ± DS) | 49.4 ± 17.4 | 50 ± 17.1 | 48.2 ± 18.2 |
ISS (mean ± DS) | 39.7 ± 14.7 | 41.8 ± 13.3 | 35.3 ± 14.3 |
ICU length of stay (mean ± DS) | 16.7 ± 14.4 | 20.7 ± 15.5 | 8.6 ± 6.4 |
ICU mortality n (%) | 10 (7%) | 8 (8.4%) | 2 (4.2%) |
P109
Comparison of admission versus critical care acquired MRSA, VRE and C. difficile on patient mortality, critical care length of stay and costs
S Helyar, D Hadfield, K O’Reilly, J Smith, P Hopkins
King’s College Hospital, ACET Research Team, London, UK
P110
Evaluation of clinical efficacy of fosfomycin in an urban academic medical center
H Drone, K Robinson
Hennepin Healthcare, Clinical Pharmacy, Minneapolis, USA
P111
Multiresistant ESKAPE bacteria in critical care unit: colonization, infection and appropriate empirical antibiotic rate
M Muñoz Garach1, O Moreno Romero2, P Fernandez Morales2, MT Cruces Moreno2
1Hospital Universitario Clínico San Cecilio, Critical Care, Granada, Spain, 2Hospital Universitario Clínico San Cecilio, Intensive Care Unit, Granada, Spain
P112
Impact of remdesivir in COVID-19 patients under non-invasive ventilation in an intermediate care unit
J Rua1, AR Nogueira1, JE Mateus1, AF Costa2, A Ribeiro3, C Silva4, J Trêpa5
1Centro Hospitalar Universitário de Coimbra, Serviço de Medicina Intensiva, Coimbra, Portugal, 2Centro Hospitalar Universitário de Coimbra, Serviço de Pneumologia, Coimbra, Portugal, 3Centro Hospitalar Universitário de Coimbra, Serviço de Hematologia Clínica, Coimbra, Portugal, 4Centro Hospitalar Universitário de Coimbra, Serviço de Medicina Interna, Coimbra, Portugal, 5Centro Hospitalar Universitário de Coimbra, Serviço de Doenças Infecciosas, Coimbra, Portugal
P113
A monocentric observational analysis of the use of prophylactic antimicrobial therapy and perioperative cultures during pancreaticoduodenectomy
A De Wilde1, J Fierens2, J De Waele2, P Depuydt2, F Berrevoet3, F Gryspeerdt3, L De Bus2
1University Hospital Ghent, Intensive Care, Ghent, Belgium, 2University Hospital Ghent, Intensive Care Unit, Ghent, Belgium, 3University Hospital Ghent, General and HPB surgery, Gent, Belgium
P114
Prognostic markers of acute liver failure: a retrospective observational study.
M Benlabed1, S Benlabed2, S Nedjari3, R Gaudy4, A Ladjouze3, S Aissaoui3
1Lille University, Anesthesiology, Lille, France, 2Free University of Brussels, Internal Medicine, Brussels, Belgium, 3Algiers University, Anesthesiology, Algiers, Algeria, 4Lille University, Internal Medicine, Lille, France
Survivors | Non-survivors |
p
| |
---|---|---|---|
Lactates T0 mmol/l | 3.17±0.96 | 6.20±1.99 | < 0.0001 |
Lactates T 12h | 3.42±0.7 | 7.34±2.21 | < 0.0001 |
Ammonia µmol/l Day 2 | 104.9±20.8 | 162.55±35.3 | < 0.0001 |
Sodium mmol/l | 134.5±5.10 | 125.7±5.21 | < 0.0001 |
SOFA score Day 3 | 9.66±1.66 | 13.95±2.99 | < 0.0007 |
P115
Outcome of critically ill patients with liver cirrhosis and prolonged intensive care unit stay
K Roedl1, A Drolz2, T Horvatits2, J Kluwe2, S Kluge1, V Fuhrmann1
1University Medical Centre Hamburg-Eppendorf, Department of Intensive Care Medicine, Hamburg, Germany, 2University Medical Centre Hamburg-Eppendorf, Department of Medicine I, Hamburg, Germany
P116
Cytokine adsorption in patients with acute-on-chronic liver failure (CYTOHEP): a clinical trial protocol of a single center, open-label, randomized, controlled intervention trial
A Sekandarzad1, D Bettinger2, E Weber3, E Graf4, EP Prager5, T Wengenmayer1, A Supady1
1University of Freiburg, Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, Faculty of Medicine & Department of Cardiology and Angiology I, Heart Center, Freiburg, Germany, 2Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Department of Medicine, Freiburg, Germany, 3Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Institute of Medical Biometry and Statistics, Freiburg, Germany, 4University of Freiburg, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Institute of Medical Biometry and Statistics, Freiburg, Germany, Freiburg, Germany, 5Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Department of Nephrology and Primary Care, Freiburg, Germany
P117
The effects of the first feeding time on the prognosis of the patients with trauma who were followed up in pediatric intensive care unit
D Yildizdas
Çukurova University, PICU, Adana, Turkey
P118
Effects of a carbohydrate-modified, diabetes-specific enteral tube feed high in monounsaturated fatty acids on glycemic variability in neurocritical care patients: a randomized, double-blind, multicenter study
R Beer1, M Kofler2, E Höfner3, J Weber3, F Gruber4, V Rass2, AJ Schiefecker2, B Pfausler2, R Helbok2
1Medical University of Innsbruck, Department of Neurology—Neurointensive Care, Innsbruck, Austria, 2Medical University of Innsbruck, Innsbruck, Austria, 3Klinikum Klagenfurt am Wörthersee, Klagenfurt, Austria, 4Kepler Universitätsklinikum, Linz, Austria
P119
Alternative substrates in the critically ill subject (ASICS): a feasibility study
A McNelly1, A Langan2, D Bear3, T Martin4, K Rooney5, S Eaton6, S Heales6, J Prowle2, H Montgomery7, Z Puthucheary1
1Queen Mary University of London, London, UK, 2Royal London Hospital, London, UK, 3St Thomas’s Hospital, London, UK, 4Royal London, London, UK, 5Bristol Royal Infirmary, London, UK, 6UCL Great Ormond Street Institute of Child Health, London, UK, 7UCL, London, UK
P120
Medical nutrition therapy practices in cardiac surgical patients on ICU: current findings of the International Nutrition Survey
E Dresen1, C Stoppe1, X Jiang2, DK Heyland3
1University Hospital Wuerzburg, Department of Anesthesiology and Intensive Care Medicine, Wuerzburg, Germany, 2Kingston General Hospital, Clinical Evaluation Research Unit, Kingston, Canada, 3Queen’s University, Department of Critical Care Medicine, Kingston, Canada
P121
Does the amino acid pattern in medical nutrition therapy affect muscle mass loss in adult ICU patients? A secondary analysis of a randomized controlled trial
E Dresen1, L Siepmann2, C Weißbrich3, L Weinhold4, C Putensen3, P Stehle2
1University Hospital Wuerzburg, Department of Anesthesiology and Intensive Care Medicine, Wuerzburg, Germany, 2University of Bonn, Department of Nutrition and Food Sciences, Nutritional Physiology, Bonn, Germany, 3University Hospital of Bonn, Department of Anesthesiology and Intensive Care Medicine, Bonn, Germany, 4University Hospital of Bonn, Institute of Medical Biometry, Informatics and Epidemiology, Bonn, Germany
P122
Accuracy of ICU nurses versus physicians and impact of ICU experience on early prediction of mortality of critically ill patients: a further in-depth analysis of the PREMIUMS trial.
S Bogaert1, L Depauw2, T De Corte2, J Vermassen2, K Colpaert2, J Decruyenaere2
1UZ Gent, Intensive Care, Ghent, Belgium, 2UZ Gent, Ghent, Belgium
P123
PREMIUMS: predicting mortality in ICU patients by healthcare workers, scoring systems and artificial intelligence.
L Depauw1, S Bogaert2, T De Corte2, J Vermassen2, K Colpaert2, J Decruyenaere2
1UZ Gent, intensive Care, Ghent, Belgium, 2UZ Gent, Ghent, Belgium
P124
Post-intensive care COVID survivorship clinic: a single centre experience
M Gilmartin1, J Collins1, S Mason1, G McDermott1, M Baily-Scanlan2, D Hevey3, M Donnelly1, V O’Doherty4, YP Kelly1
1Tallaght University Hospital, Intensive Care, Dublin 24, Ireland, 2Tallaght University Hospital, Physiotherapy, Dublin 24, Ireland, 3Trinity College Dublin, School of Psychology, Dublin 2, Ireland, 4Tallaght University Hospital, Psychology, Dublin 24, Ireland
P125
Nutritional status of COVID-19 patients one year post-ICU stay
P Lakenman1, J Van Bommel2, J Olieman3, K Joosten4
1Erasmus Medical Centre, Division of Dietetics, Department of Internal Medicine,, Rotterdam, Netherlands, 2Erasmus Medical Centre, Intensive Care Medicine, Rotterdam, Netherlands, 3Erasmus Medical Centre, Division of Dietetics, Department of Internal Medicine, Rotterdam, Netherlands, 4Erasmus Medical Centre—Sophia Children’s Hospital, Intensive Care Unit, Department of Paediatrics and Paediatric Surgery, Rotterdam, Netherlands
P126
Neuromuscular electrical stimulation prevents the skeletal muscle weakness in patients with severe COVID-19 associated with sepsis and septic shock: a case series
WN Costa, ST Grams, LT Saraiva, IC Salles, RF Righetti, WP Yamaguti
Hospital Sírio-Libanês, Serviço de Reabilitação, São Paulo, Brazil
P127
Long term follow-up of patients admitted to ICU for acute respiratory failure from SARS-CoV-2 infection
E Casarotta, E Damiani, G Mariotti, C D’Angelo, G Stanzione, D Di Falco, C Gorbi, F Picchio, C Sampaolo, A Donati
Università Politecnica delle Marche, Biomedical Sciences, Ancona, Italy
Patients (n = 70) | |
---|---|
Male gender, n (%) | 56 (80) |
Age, years | 58.8 ± 10.9 |
Weight, kg | 90 [80–110] |
Height, cm | 175.3 ± 9.5 |
BMI, kg/m2 | 29.4 [27.1–35.1] |
Charlson Comorbidity Index | 2.1 ± 1.5 |
P128
Evaluating post-intensive care syndrome in critically unwell COVID-19 patients
R Mani
St Georges Hospital, General Intensive Care, London, UK
P129
Novel sub-phenotypes highlight heterogeneity of characteristics and guide individualized treatment in chronic critical illness
PZ Liu1, SC Li1, T Zheng2, J Wu3, WB Gong2, ZB Zhang4, XW Wu2, Y Zhao5, JA Ren1
1Jinling Hospital, Medical School of Nanjing University, Research Institute of General Surgery, Nanjing, China, 2Jinling Hospital, Research Institute of General Surgery, Nanjing, China, 3BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Research Institute of General Surgery, Nanjing, China, 4Chinese PLA General Hospital, Beijing, China, 5BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
P130
Development of an algorithm for predicting mortality in pre-hospital patients encountered by a physician-staffed helicopter emergency medical service system
E Reitala1, M Lääperi2, MB Skrifvars1, T Silfvast3, H Vihonen4, P Karhivuori5, M Tommila6, L Raatiniemi7, J Nurmi1
1University of Helsinki and Helsinki University Hospital, Department of Emergency Care and Services, Helsinki, Finland, 2FinnHEMS Ltd, HEMS Operations, Vantaa, Finland, 3University of Helsinki and Helsinki University Hospital, Department of Anaesthesia, Intensive Care, and Pain Medicine, Helsinki, Finland, 4Tampere University Hospital, Emergency Medical Services, Centre for Prehospital Emergency Care, Department of Emergency, Anaesthesia and Pain Medicine,, Tampere, Finland, 5Kuopio University Hospital, Centre for Prehospital Emergency Care, Kuopio, Finland, 6Turku University Hospital and University of Turku, Department of Perioperative Services, Intensive Care Medicine and Pain Management, Turku, Finland, 7Oulu University Hospital, Medical Research Centre, University of Oulu, Research Group of Surgery, Anaesthesiology and Intensive Care, Division of Anaesthesiology, Oulu Centre for Prehospital Emergency Care, Oulu, Finland
P131
Incidence and leading causes of preventable deaths in a French regional trauma system
M Geslain, S Cozien, X Chapalain, N Chahir, J Thereaux, M Nonent, R Seizeur, O Huet
CHRU Brest, Brest, France
Preventable deaths (n = 16) | Non-preventable deaths (n = 88) | p | |
---|---|---|---|
Triage error | 7 | 4 | < 0.001 |
Secondary transfer to level I trauma-center | 7 | 6 | 0.001 |
Non-trauma-team initial resuscitation | 14 | 38 | 0.003 |
P132
Risk factors associated with augmented renal clearance in a mixed ICU population: a retrospective study
M Perreault1, K Archambault2, E Bing2, YT Fang2, C Gras3, C Jabamikos2, KD Nguyen2, A Sananikone2, MA Duceppe2, A Marsot4
1The Montreal General Hospital, Pharmacy Suite C1-200, Montreal, Canada, 2The McGill University Health Center, Dept of Pharmacy, Montreal, Canada, 3Université de Montpellier, Dept of Pharmacy, Montpellier, France, 4Université de Montreal, Faculté de Pharmacie, Montreal, Canada
P133
Utility of 8 h urine creatinine clearance to guide dosing in critically ill patients: a single centre retrospective analysis
P Rajeevkumar1, M Ostermann2, F Hanks3
1Guys’ and St Thomas’ NHS Foundation Trust, Pharmacy, London, UK, 2Guys’ and St Thomas’ NHS Foundation Trust, Department of Critical Care, London, UK, 3Guys’ and St Thomas’ NHS Foundation Trust, Critical Care Pharmacy, London, UK
Patient characteristics (n = 31) | Results |
---|---|
Median age | 48 yrs |
Median SCr [micromole/l] | 56 (IQR 27–104.5) |
Median C&G CrCl [ml/min] | 109 (IQR 41–244) |
Median eGFR [ml/min] | 104 (IQR 52–236) |
Median UrCrCl [ml/min] | 39 (IQR 15–75) |
Median % difference between C&G CrCl and UrCrCl | 239% (IQR 134–415%) |
UrCrCl result prompted change of drug therapy | 51.6% (16/31) |
P134
Validation of the augmented renal clearance in trauma intensive care (ARCTIC) scoring system for augmented renal clearance prediction in a trauma subgroup of a mixed ICU population
M Perreault1, K Archambault2, E Bing2, YT Fang2, C Jabamikos2, KD Nguyen2, A Sananikone2, MA Duceppe2, A Marsot3, M Chagnon4
1The Montreal General Hospital, Pharmacy Suite C1-200, Montreal, Canada, 2The McGill University Health Center, Dept of Pharmacy, Montreal, Canada, 3Université de Montreal, Faculté de Pharmacie, Montreal, Canada, 4Université de Montreal, Service de Consultation Statistique, Montreal, Canada
P135
Biomarkers of kidney stress during early critical illness identify patients with impaired kidney function at ICU discharge when assessed using cystatin C but not creatinine
AG Gillespie, A Bhardwaj Shah, JP Prowle, RH Haines
Critical Care and Perioperative Medicine Research Group, William Harvey Research Group, Queen Mary University of London, London, UK
P136
Epidemiology of acute kidney injury (AKI) within patients hospitalized in the emergency department of Mahdia
E Sghaier, N Jerbi, S Kebaier, N Chebbi, F Ben Salem, K Mefteh, S Bettout, I Dlala, S Marghli
Taher Sfar Hospital, Emergency Department, Mahida, Tunisia
P137
Serial measurement of urinary C–C-motif chemokine ligand 14 (CCL14) and the persistence of severe acute kidney injury during critical illness
J Prowle1, LS Chawla2, P Kampf3, T Kwan3, P McPherson3, JA Kellum4
1Queen Mary University of London, William Harvey Research Institute, London, UK, 2Veterans Affairs Medical Center, Veterans Affairs Medical Center, San Diego, CA, USA, 3Astute Medical, Inc., Astute Medical, Inc. (a bioMérieux company), San Diego, CA, USA, 4Department of Critical Care Medicine, University of Pittsburgh, Center for Critical Care Nephrology, Pittsburgh, PA, USA
P138
Individual contributions of the KDIGO AKI care bundle’s components for the prevention of postoperative acute kidney injury (AKI)
TC Von Groote1, M Ostermann2, LG Forni3, M Meersch1, A Zarbock1, R Weiss1
1University Hospital Münster, Department of Anaesthesiology, Intensive Care and Pain Medicine, Münster, Germany, 2King’s College London, Guy’s & St Thomas’ NHS Foundation Hospital, Department of Intensive Care, London, UK, 3University of Surrey, Department of Clinical and Experimental Medicine, Guildford, UK
Analysis | Risk factor (intervention + control; n = 554) | Individual treatment effect (intervention; n = 274) |
---|---|---|
Odd’s ratio (95%CI), p value | Odd’s ratio (95%CI), p value | |
Hypotension MAP < 65 mmHg twice or < 60 mmHg once | 2.30 (1.61–3.27), p < 0.05 | 2.37 (1.41–3.98), p < 0.05 |
Cardiac index < 3.0 l/min/m2 | 1.93 (1.10–3.38), p < 0.05 | 1.97 (1.11–3.52), p < 0.05 |
Hyperglycemia | 1.44 (0.99–2.10), p = 0.056 | 1.07 (0.64–1.77), p = 0.80 |
ACEi/ARBs | 1.19 (0.75–1.90), p = 0.46 | 0.85 (0.41–1.76), p = 0.86 |
Radiocontrast agents | 3.57 (1.55–8.24), p < 0.05 | 2.57 (0.81–8.18), p = 0.11 |
Nephrotoxic drugs | 1.58 (0.91–2.73), p = 0.11 | 8.19 (1.86–36.02), p < 0.05 |
P139
Optimizing postoperative hemodynamics in patients at high risk for acute kidney injury (AKI)—the higher, the better?
TC von Groote1, M Ostermann2, LG Forni3, M Meersch1, A Zarbock1, R Weiss1
1University Hospital Münster, Department of Anaesthesiology, Intensive Care and Pain Medicine, Münster, Germany, 2King’s College London, Guy’s & St Thomas’ NHS Foundation Hospital, Department of Intensive Care, London, UK, 3University of Surrey, Department of Clinical and Experimental Medicine, Guildford, UK
Mean MAP (mmHg) | Incidence of any AKI (KDIGO criteria) | Mean cardiac index (l/min/m2) | Incidence of any AKI (KDIGO criteria) |
---|---|---|---|
55–60 | 83.3% (5/6) | 1.5–2.0 | 61.9% (13/21) |
60–65 | 75.6% (34/45) | 2.0–2.5 | 64.0% (48/75) |
65–70 | 65.6% (82/125) | 2.5–3.0 | 56.4% (62/110) |
70–75 | 56.8% (92/162) | 3.0–3.5 | 42.1% (24/57) |
75–80 | 51.4% (56/109) | 3.5–4.0 | 42.3% (11/26) |
80–85 | 52.2% (35/67) | 4.0–4.5 | n/a |
85–90 | 35.7% (10/28) | 4.5–5.0 | n/a |
P140
Renin kinetics in cardiac surgery patients with postoperative administration of angiotensin-II
R Weiss1, M Meersch1, C Massoth1, M Küllmar1, L Chawla2, G Landoni3, R Bellomo4, J Gerss5, A Zarbock1, TC von Groote1
1University Hospital Münster, Department for Anesthesiology, Intensive Care and Pain Medicine, Münster, Germany, 2Veterans Affairs Medical Center, San Diego, USA, 3IRCCS San Raffaele Scientific Institute, Department of Intensive Care and Anesthesia, Milan, Italy, 4Royal Melbourne Hospital, Department of Intensive Care, Melbourne, Australia, 5University of Münster, Institute of Biostatistics and Clinical Research, Münster, Germany
Renin | Total (n = 40) | AT-II (n = 20) | No AT-II (n = 20) | p value |
---|---|---|---|---|
Pre-OP levels, median (Q1, Q3), µU/ml | 44 (15, 156) | 45 (9, 156) | 44 (17, 231) | 0.745 |
Levels 4h post-OP, median (Q1, Q3), µU/ml | 189 (30, 379) | 214 (28, 461) | 126 (33, 353) | 0.457 |
Levels 12h post-OP, median (Q1, Q3), µU/ml | 107 (32, 291) | 72 (22, 221) | 131 (63, 317) | 0.213 |
Change, median (Q1, Q3), % (12h/4h post-OP) | −48 (−73, 40) | +14 (−42, 131) | 0.023 | |
Predicted 12h levels adjusted by 4h levels post-OP | 55.7 | 118.0 | 0.034 | |
Change without prior ACEi/ARBs premedication, % | −52 (−74, −10) | +45 (−38, 147) | 0.028 | |
Change with prior ACEi/ARBs premedication, % | −53 (−78, 84) | −8 (−46, 61) | 0.336 |
P141
Effects of red blood cell transfusions on renal blood flow in critically ill patients with moderate anemia
M Mari, A Fogagnolo, E Morelli, G Benetto, CA Volta, S Spadaro
Arcispedale Sant’Anna, University of Ferrara, Department of Anesthesia and Intensive Care Unit, Ferrara, Italy
P142
Personalization of renal replacement therapy initiation: a secondary analysis of the AKIKI and IDEAL-ICU trials
F Grolleau1, R Porcher1, S Barbar2, D Hajage3, A Bourredjem4, JP Quenot5, D Dreyfuss6, S Gaudry7
1INSERM U1153 Hôpital Hôtel-Dieu, Centre of Research in Epidemiology and Statistics, Paris, France, 2Nîmes University Hospital, University of Montpellier, Intensive Care Department,, Nîmes, France, 3Hôpital Pitié-Salpêtrière, Département de Santé Publique, Centre de Pharmacoépidémiologie, Paris, France, 4Dijon Bourgogne University Hospital, Clinical Investigation Center, Clinical Epidemiology/Clinical trials unit, Dijon, France, 5Dijon Bourgogne University Hospital, Department of Intensive Care, Dijon, France, 6Hôpital Louis Mourier, AP-HP, Service de Médecine Intensive-Réanimation, Colombes, France, 7Hôpital Avicenne, AP-HP, Service de Réanimation Médico-Chirurgicale, Bobigny, France
P143
Advanced organ support (ADVOS) in patients with acidosis and multiple organ failure: subgroup analysis of the registry on extracorporeal multiple organ support
V Fuhrmann1, AP Perez Ruiz de Garibay2, A Faltlhauser3, B Tyczynski4, D Jarczak1, J Weinmann-Menke5, M Sander6, A Kribben4, S Kluge1
1Department of Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2ADVITOS GmbH, Clinical Affairs, Munich, Germany, 3First Department of Internal Medicine, Kliniken Nordoberpfalz AG, First Department of Internal Medicine, Kliniken Nordoberpfalz AG, Weiden, Germany, 4Klinik für Nephrologie, Universität Duisburg-Essen and Universitätsklinikum Essen, Essen, Germany, 5Division of Nephrology, I. Department of Medicine, University Medical Center Mainz, Mainz, Germany, 6Department of Anesthesiology, Operative Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Giessen, Germany
P144
Optimising filter lifespan in critically ill patients with coronavirus disease (COVID-19) receiving renal replacement therapy (RRT): an observational study in a UK district general hospital
C Evans1, R Sunduram2, J Hunter2, L Gemmell2
1Royal Alexandra Hospital, Intensive Care Unit, Paisley, UK, 2Royal Alexandra Hospital, Paisley, UK
P145
Scavenging nucleus-derived molecules by polymyxin B membrane inhibits the stimulation of Toll-like receptors
N Takeyama, D Ohishi, T Irahara, M Tsuda, S Tanabe, M Hattori, Y Kuge, H Kano
Aichi Medical University, Department of Emergency and Critical Care Medicine, Aichi, Japan
P146
Clinical course and outcomes of critically ill COVID-19 patients after hemoperfusion in combination with standard therapy
D Somboonviboon1, P Aramareerak1, A Lertamornpong1, K Piyavechviratana1, B Satirapoj2
1Division of Pulmonary and Critical Care, Phramongkutklao Hospital, Department of Medicine, Bangkok, Thailand, 2Division of Nephrology, Phramongkutklao Hospital, Department of Medicine, Bangkok, Thailand
P147
Influence of fluid therapy on kidney function in the early postoperative period after lung transplantation
P Nadziakiewicz1, M Wajda-Pokrontka2, A Krauchuk3, M Ochman4, P Knapik2, P Przybyłowski5
1Silesian Centre for Heart Diseases, Cardiac Anesthesia and Intensive Therapy, Zabrze, Poland, 2Silesian Centre for Heart Diseases, Department of Cardiac Anesthesia and Intensive Therapy, Zabrze, Poland, 3Medical University of Silesia, Doctoral School, Katowice, Poland, 4Silesian Centre for Heart Diseases, Department of Lung Transplantation, Zabrze, Poland, 5Silesian Centre for Heart Diseases, Department of Cardiac Surgery, Heart Transplantation and Mechanical Circulatory Support, Zabrze, Poland
P148
The effects of fluid bolus technique with a limited volume of crystalloids on oxygen delivery: a non-inferiority study
H Baelongandi1, C Pierrakos1, D Velissaris2, R Attou1, K Kaefer1, PM Honore1, D De Bels3
1CHU Brugmann, Intensive Care Unit, Bruxelles, Belgium, 2University Hospital of Patras, Intensive Care Unit, Patras, Greece, 3CHU Brugmann, Bruxelles, Belgium
P149
Efficacy and safety of TrachFlush artificial cough maneuver for fluid removal in simulated breathing
DS Karbing1, A Zanella2, SE Rees1
1Aalborg University, Department of Health Science and Technology, Respiratory and Critical Care Group, Aalborg, Denmark, 2Universitá degli Studi di Milano, Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Milan, Italy
P150
Appropriate ventilator settings for the TrachFlush automated tracheal secretion removal technology: preliminary results
DS Karbing1, N Dey2, CG Sølling3, AH Nielsen2, SE Rees1, R Winding2
1Aalborg University, Department of Health Science and Technology, Respiratory and Critical Care Group, Aalborg, Denmark, 2Gødstrup Hospital, Department of Anaesthesia and Intensive Care, Herning, Denmark, 3Regions Hospital Viborg, Department of Anaesthesia and Intensive Care, Viborg, Denmark
PEEP, cmH2O | PC/PS, cmH2O | PIP, cmH2O | RR, 1/min | |
---|---|---|---|---|
VENTlow | 7.5±2.1 | 12.7±2.5 | 21.3±3.3 | 21.6±9.0 |
VENThigh | 8.3±1.6 | 17.1±2.6 | 25.9±2.8 | 19.8±8.6 |
P151
Feasibility study on novel usage of airway ultrasound to detect subglottic secretion above endotracheal tube (ETT) cuff—SUBSUS
A Azma Haryaty1, O Adi1, PF Chan1, R Sallehuddin2, Z Md Yusof3, V Gabrielle4
1Raja Permaisuri Bainun Hospital, Resuscitation and Emergency Critical Care Unit, Emergency and Trauma Department, PERAK, Malaysia, 2Sultanah Bahiyah Hospital, Emergency and Trauma Department, Alor Setar,Kedah, Malaysia, 3Raja Permaisuri Bainun Hospital, Radiology Department, PERAK, Malaysia, 4Cardiocentro Ticino, Cardiac Anaesthesia and Critical Care, Lugano, Switzerland
P152
McGRATH™ video laryngoscope versus Macintosh for intubation in hypoxemic COVID-19 ICU patients
M Hmida1, A Ben Souissi1, M Sboui1, S Raies1, M Hamdi1, S Ferchiche1, D Dallel1, H Cherif1, S Dammak1, MS Mebazaa2
1Mongi Slim University Hospital, Anesthesiology and ICU Department, La Marsa, Tunisia, 2Mongi Slim University Hospital, Anesthesiolgy and ICU, La Marsa, Tunisia
P153
Airways management in SARS-CoV-2 related respiratory failure: a prospective observational multi-center study
L Cattin1, F Ferrari2, S Mongodi2, G Bettini2, E Pariani2, F Daverio2, F Mojoli2, V Danzi1, S De Rosa1
1Ospedale San Bortolo, Anestesia e Rianimazione, Vicenza, Italy, 2Ospedale San Matteo, Anestesia e Rianimazione, Pavia, Italy
P154
High flow nasal oxygen and continuous positive airway pressure therapy for COVID-19: an observational study of outcomes
B Collins, M O’Sullivan, A Revill
Torbay & South Devon NHS Foundation Trust, Department of Critical Care, Torquay, UK
P155
Non-invasive ventilation in COVID-19 patients, the experience of a level 2 unit
J Rua1, AR Nogueira2, JE Mateus1, AF Costa3, A Ribeiro4, C Silva5, J Trêpa6
1Centro Hospitalar Universitário de Coimbra, Serviço de Medicina Intensiva, Coimbra, Portugal, 2Centro Hospitalar Universitário de Coimbra, Medicina Intensiva, Coimbra, Portugal, 3Centro Hospitalar Universitário de Coimbra, Serviço de Pneumologia, Coimbra, Portugal, 4Centro Hospitalar Universitário de Coimbra, Serviço de Hematologia Clínica, Coimbra, Portugal, 5Centro Hospitalar Universitário de Coimbra, Serviço de Medicina Interna, Coimbra, Portugal, 6Centro Hospitalar Universitário de Coimbra, Serviço de Doenças Infecciosas, Coimbra, Portugal
P156
Regulation of a device for emergency transtracheal lung ventilation
D Pavlovic
Dalhousie University, Halifax, Dept. of Anesthesia, Pain Management and Perioperative Medicine, Halifax, Canada
P157
Use of ROX index in predicting the failure of non-invasive respiratory support for patients with COVID-19
JT Thompson1, TS Sage2, AM Morrison2, AR Roy2, PM McAndrew2, AR Rostron3
1Sunderland Royal Hospital, Integrated Critical Care Unit, Sunderland, UK, 2Sunderland Royal Hospital, Sunderland, UK, 3Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
P158
P159
Optimizing the effect of inhaled nitric oxide therapy of COVID-19 patients with acute respiratory failure
F Almutairi
King Fahd Armed Forces Hospital, Respiratory Care, Jeddah, Saudi Arabia
P160
High flow nasal oxygen in the intensive care setting during the COVID-19 pandemic at Mater Dei Hospital, Malta
C Mizzi, M Drake, S Sciberras, M Buttigieg
Mater Dei Hospital, Intensive Care, Msida, Malta
P161
Duration of noninvasive continuous positive airway pressure as a risk factor for mortality in patients with COVID-19 acute respiratory failure.
N De Vita1, L Scotti1, F Racca2, G Airoldi3, C Olivieri4, E Santangelo1, L Castello1, F Della Corte1, P Navalesi5, R Vaschetto1
1Eastern Piedmont University, Translational Medicine, Novara, Italy, 2Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, Department of Anesthesia and Intensive Care, Alessandria, Italy, 3Ospedale Ss. Trinità, Medicina Interna, Borgomanero, Italy, 4Azienda Ospedaliera Sant’Andrea, Department of Anesthesia and Critical Care, Vercelli, Italy, 5Università di Padova, Dipartimento di Medicina—DIMED, Padova, Italy
P162
Tracheostomy experience during SARS-CoV-2 pandemic in a hospital from Bogotá, Colombia
EE Rodríguez1, NA Pedraza Lopez1, R Toro Manotas2, E Valencia Morera2, J Perez Pinzon2, E Reyes1, F Medina1, YR Cárdenas1
1Fundación Santa Fe de Bogotá, Intensive Care Department, Bogotá, Colombia, 2School of Medicine, Universidad de los Andes, Intensive Care Department, Bogota, Colombia
Group 1 (≤14 days) n = 42 | Group 12 (≥15 days) n = 109 | p Value | |
---|---|---|---|
Age | 56.6 (IQR 29.8) | 63 (IQR 12) | 0.015* |
BMI | 27.6 (IQR 4.83) | 27.8 (IQR 5.78) | 0.7 |
APACHE II score | 13.5 (IQR 7) | 12 (IQR 7) | 0.3 |
SOFA score | 6 (IQR 3.75) | 4 (IQR 4) | 0.023* |
PAFI | 180 (IQR 69) | 184 (IQR 78) | 0.9 |
Sex | Women: 16 (38%) Men: 26 (62%) | Women: 42 (38.5 %) Men: 67 (61.5%) | 0.9 |
Hemodynamic support at tracheostomy | 9 (21.5%) | 40 (36.5%) | 0.07 |
P163
P164
Experience in performing a tracheostomy in patients with COVID-19 in the intensive care unit of a high complexity hospital in the south of Colombia
LE Sanabria1, AM Luna-Florez1, MC Sanabria2, JD Charry3, A Muñoz1
1Universidad SurColombiana, Critical Care, Neiva, Colombia, 2Universidad De Los Andes, Medicine, Bogotá DC, Colombia, 3Universidad SurColombiana, Neiva, Colombia
P165
Lateral positioning as a new lung recruitment maneuver: an experimental ARDS model study
G Alcala1, M Tucci2, M Mlček3, M Otáhal2, JB Borges3, M Ricl3, R Roldán2, S Gomes2, M Amato2
1University of São Paulo, Pulmonary Division, Heart Institute (INCOR), Sao Paulo, Brazil, 2University of São Paulo, Sao Paulo, Brazil, 3Charles University, Prague, Czech Republic
P166
Lateralization can work as a recruitment maneuver without hemodynamic side effects; but its success depend on PEEP
G Alcala1, AC Dos Santos2, M Tucci2, C Lima2, E Rodrigues2, S Gomes2, M Mlček3, E Kuriscak3, JB Borges3, M Amato2
1University of São Paulo, Pulmonary Division, Heart Institute (INCOR), Sao Paulo, Brazil, 2University of São Paulo, Sao Paulo, Brazil, 3Charles University, Prague, Czech Republic
P167
A systematic review and meta-analysis of respiratory system mechanics and outcomes in mechanically ventilated patients with COVID-19 related acute respiratory distress syndrome
RR Ling1, MP Reddy2, A Subramaniam3, C Chua3, C Anstey4, K Ramanathan5, K Shekar6
1Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 2Calvary Hospital, City: ACT, Department of Intensive Care Medicine, ACT, Australia, 3Peninsula Health, Australia, Department of Intensive Care Medicine, VIC, Australia, 4University of Queensland, Brisbane QLD, Australia, 5National University Heart Centre, National University Hospital, Cardiothoracic Intensive Care Unit, Singapore, Singapore, 6The Prince Charles Hospital, Adult Intensive Care Services and Critical Care Research Group, Brisbane, QLD, Australia
P168
A novel definition and treatment of hyperinflammation in COVID-19 based on purinergic signalling
D Hasan1, A Shono2, CK Van Kalken1, PJ Van der Spek3, T Kotani2
1Independent researcher, Kasterlee, Belgium, 2School of Medicine, Showa University, Anaesthesiology and Critical Care Medicine, Tokyo 142–8666, Japan, 3Erasmus MC, Erasmus Universiteit Rotterdam, Pathology & Clinical Bioinformatics, 3015 CE Rotterdam, Netherlands
P169
Non-acidotic hypercapnia limits the loss of diaphragm force at single fibers level in mechanically ventilated rats for 5 days
N Cacciani1, A Addinsall2, L Larsson3
1Karolinska Institutet, Department of Physiology and Pharmacology (FyFa), Stockholm, Sweden,2Karolinska Institutet, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, 3Viron Molecular Medicine Institute, Boston, MA, USA
P170
Mitigation of cellular apoptosis by diaphragm neurostimulation, and correlation between homovanillic acid and apoptotic markers in a moderate-ARDS preclinical model
T Bassi1, E Rohrs2, K Fernandez2, M Nicholas2, J Wittmann2, M Ornowska2, M Gani1, D Evans1, S Reynolds2
1Lungpacer Medical Inc., Burnaby, Canada, 2Fraser Health Authority, New Westminster, Canada
P171
Mitigation of neuroinflammation by diaphragm neurostimulation, and correlation between neuroinflammatory biomarkers in a moderate-ARDS preclinical model
T Bassi1, E Rohrs2, K Fernandez2, M Nicholas2, J Wittmann2, M Ornowska3, M Gani1, D Evans1, S Reynolds2
1Lungpacer Medical Inc., Burnaby, Canada, 2Fraser Health Authority, New Westminster, Canada, 3Simon Fraser University, Burnaby, Canada
P172
Relationship among the electrical activity of the diaphragm, respiratory muscle ultrasound and indices of neuroventilatory coupling
M Umbrello1, E Tognacci2, E Antonucci2, A Arena2, S Cereghini2, S Muttini2
1Ospedale San Carlo Borromeo, ASST Santi Paolo e Carlo—Polo Universitario, SC Anestesia e Rianimazione II, Milano, Italy, 2Ospedale San Carlo Borromeo, ASST Santi Paolo e Carlo—Polo Universitario, Milano, Italy
P173
Diaphragmatic function and weaning failure from mechanical ventilation (MV): study using ultrasound (US) technique.
F Righetti1, E Colombaroli2
1Intensive Care Unit, Emergency Department, Fracastoro Hospital, Emergency Department, San Bonifacio, Verona, Italy, 2Intensive Care Unit, Emergency Department, Fracastoro Hospital, San Bonifacio, Verona, Italy
P174
Transvenous diaphragm neurostimulation lowers transpulmonary driving pressure in a preclinical ARDS model
E Rohrs1, TG Bassi2, M Nicholas3, J Wittmann3, M Ornowska4, K Fernandez3, M Gani2, S Reynolds3
1Fraser Health Authority, Respiratory Therapy, New Westminster, Canada, 2Lungpacer Medical, Vancouver, Canada, 3Fraser Health Authority, New Westminster, Canada, 4Simon Fraser University, Burnaby, Canada
P175
Transvenous diaphragm neurostimulation improves PaO2/FiO2 in a preclinical ARDS model
E Rohrs1, TG Bassi2, M Nicholas3, J Wittmann3, M Ornowska4, K Fernandez3, M Gani2, S Reynolds3
1Fraser Health Authority, Respiratory Therapy, New Westminster, Canada, 2Lungpacer Medical, Vancouver, Canada, 3Fraser Health Authority, New Westminster, Canada, 4Simon Fraser University, Burnaby, Canada
P176
Neither R/I ratio nor recruitable volume differentiates recruiters from nonrecruiters by staircase recruitment maneuver
P Aramareerak, P Watcharasint
Phramongkutklao Hospital, Pulmonary and Critical Care Medicine, Bangkok, Thailand
P177
The use of VV-ECMO in patients with COVID 19 (is the first experience)
M.A. Petrushin1, E.V. Tereshchenko2, V.A. Alekseeva2, P.I. Melnychenko1, E.A. Kudryashova1, A.N. Grosheva1, M.A. Bachyrina1, M.A. Babaev2
1Tver Regional Hospital, Intensive Care Unit, Tver, Russian Federation, 2Petrovsky National Research Centre of Surgery, Intensive Care Unit, Moscow, Russian Federation
P178
Extracorporeal membrane oxygenation for critically ill patients with COVID-19 pneumonia: a retrospective cohort study
K Nijs, J Dubois, L Heremans, M Van Tornout, I De Pauw, B Stessel
Jessa Hospital, Department of Intensive Care and Anaesthesiology, Hasselt, Belgium
Outcomes | COVID-19 ECMO Survivors (n = 13) | COVID-19 ECMO Non-survivors (n = 11) | p value |
---|---|---|---|
Length of stay in ICU (days) | 39.00 ± 28.10 | 26.36 ± 18.42 | 0.15 |
Length of stay in hospital (days) | 49.33 ± 27.50 | 26.36 ± 18.42 | 0.01 |
CVVH during ECMO | 1 (7.69%) | 6 (54.55%) | 0.01 |
Length of ECMO (days) | 13.66 ± 10.73 | 16.64 ± 17.17 | 0.93 |
Stroke | 0 (0.00%) | 3 (27.3%) | 0.04 |
Major bleeding | 6 (46.15%) | 11 (100%) | 0.004 |
Heparin-induced thrombocytopenia | 1 (7.70%) | 1 (9.10%) | 0.90 |
P179
Pneumomediastinum in ARDS (acute respiratory distress syndrome) caused by COVID-19 (coronavirus disease 2019): is protective lung ventilation really a weapon to our advantage?
F Righetti1, E Colombaroli2
1Intensive Care Unit, Emergency Department, Fracastoro Hospital, Emergency Department, San Bonifacio, Verona, Italy, 2Intensive Care Unit, Emergency Department, Fracastoro Hospital, San Bonifacio, Verona, Italy
P180
Veno-venous extracorporeal membrane oxygenation (ECMO) in non-intubated patients with COVID-19 acute respiratory distress syndrome (ARDS): a non-inferiority study
R Attou, K Kaefer, A Gallerani, L Barreto Guttierez, P Honore, M Abou Iebdeh, E Waterplas, J Massaut, D Debels, C Pierrakos
CHU Brugmann, Intensive Care Unit, Laeken, Belgium
P181
Time dependent covariate analysis of liver parameters for VV-ECMO survival
SFE Ehrentraut, TS Stiehl, MS Schmandt, SM Münster, CP Putensen, JCS Schewe
University Hospital Bonn, Department of Anaesthesiology and Intensive Care Medicine, Bonn, Germany
P182
The survival of patients treated with extracorporeal hemoadsorption and ECMO analysed in a nation wide registry.
AH Heidenreich1, KK Kaier2, CVZM Von zur Mühlen1, DS Dürschmied3, MZ Zehender1, CB Bode1, PS Stachon3, AS Supady1
1University Heart Center Freiburg, Medical Faculty, University of Freiburg, Department of Cardiology and Angiology I, Freiburg, Germany, 2Faculty of Medicine and Medical Center, University of Freiburg, Institute of Medical Biometry and Statistics, Freiburg, Germany, 3University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, Mannheim, Germany
P183
Relationship of lung oxygenation to timing of hemoadsorption therapy initiation in COVID-19 patients requiring extracorporeal mechanical oxygenation (ECMO): an observational analysis from the CytoSorb therapy in COVID-19 (CTC) Registry
J Hayanga1, T Song2, L Durham3, L Garrison4, P Nelson5, H Kroger5, Z Molnar6, E Deliargyris5, N Moazami7
1West Virginia University School of Medicine, Morgantown, USA, 2University of Chicago Medicine, Chicago, USA, 3Medical College of Wisconsin, Milwaukee, USA, 4Franciscan Health Indianapolis, Indianapolis, USA, 5CytoSorbents Corporation, Princeton, USA, 6CytoSorbents Europe, Berlin, Germany, 7New York University School of Medicine, New York, USA
P184
Excess oxygen administration and adverse outcomes in patients with SARS-CoV-2 pneumonia requiring invasive mechanical ventilation: a retrospective study
E Damiani1, R Giorgetti2, S Vannicola1, P Giaccaglia1, M Cerioni Canone1, ME Bagnarelli1, G Danieli1, S Marzialetti1, P Gregori1, A Donati1
1Università Politecnica delle Marche, Biomedical Sciences and Public Health, Ancona, Italy, 2Università Politecnica delle Marche, Biomedical Sciences, Ancona, Italy
P185
The use of mechanical power and driving pressure during mechanical ventilation for ARDS in an ICU in a lower income country (Sri Lanka)
K Indraratna, H Yapa, D Jayasekera
Sri Jayewardenepura General Hospital, Anaesthesia and Intensive Care, Nugegoda, Sri Lanka
-
There were 20 patients. Mortality was 60%.
-
45% had mechanical power of over 12. Mortality 88.9%.
-
55% had mechanical power less than 12. Mortality 45%.
-
50% had driving pressure of over 14. Mortality 100%.
-
50% had driving pressure of less than 14. Mortality 20%.
-
33% had driving pressure over 14 and mechanical power over 12. Mortality 83%.
-
20% had driving pressure less than 14 and mechanical power less than 12. Mortality 0%.
-
Documentation of values of mechanical power and driving pressure-0%.
P186
Utility of dead-space-to-tidal-volume ratio in predicting extubation failure: a systematic review and meta-analysis
M Van Haute, KC Jimenez, S Kumar, Z Libozada, PD Lim, MB Llamzon, PK Llantada, AC Lopez, MA Loyola
San Beda University, College of Medicine, Metro Manila, Philippines
P187
Effects of anterior external chest wall compression on respiratory mechanics and gas exchange in COVID-19 ARDS patients
B De Dreuker1, AH Jonkman2, LMA Heunks2
1UZA, ICU, Edegem, Belgium, 2AMC VUmc, ICU, Amsterdam, Netherlands
P188
Association of sedation level and 28-day mortality: a COVID-19 cohort multicentre study sub analysis
BM Monleon1, SM Martinez2, JAC Carbonell2, RF Florea2, MGP Garcia Perez2, RB Badenes2
1Hospital Clinico Universitario, Anesthesiology, Intensive Care and Pain Management, Valencia, Spain, 2Hospital Clinico Universitario, Valencia, Spain
P189
Sedation requirements in patients receiving venovenous extracorporeal membrane oxygenation in the era of COVID-19
LE Pratt, KA Considine, TS Lam, JT Jancik
Hennepin Healthcare, Department of Clinical Pharmacy, Minneapolis, United States
Opioids | BZD | Propofol | ||
---|---|---|---|---|
Mean Dose Days 1–7* | Pre-COVID | 3935 | 275 | 4419 |
COVID | 4750 | 292 | 6396 | |
Mean Days, (% ECMO time) | Pre-COVID | 10 (100) | 9 (96) | 6 (73) |
COVID | 25 (95) | 20 (76) | 21 (81) |
P190
Effect of ramelteon on reducing in-hospital mortality in critically ill adults: a nationwide observational cohort study in Japan
T Takeuchi1, N Inoue1, T Masuda2, K Fushimi1
1Tokyo Medical and Dental University, Department of Health Policy and Informatics, Tokyo, Japan, 2Tokyo Medical and Dental University, Department of Intensive Care Medicine, Tokyo, Japan
P191
Dexmedetomidine increases central venous oxygen saturation in patients undergoing neurosurgery
MC Niño1, D Cohen1, AL Delgadillo2, EE Rodríguez3, SS Valencia2, GA Madrid2
1Fundación Santa Fe de Bogotá, Neuroanesthesia Service, Bogotá, Colombia, 2Fundación Santa Fe de Bogotá, Anesthesiology Department, Bogotá, Colombia, 3Fundación Santa Fe de Bogotá, Intensive Care Department, Bogotá, Colombia
P192
Effect of sevoflurane on the activation of human neutrophiles in ex vivo models
D Starostin
V.A. Negovsky Research Institute of General Reanimatology of the Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Intensive Care & Emergency Medicine, Moscow, Russian Federation
P193
Intravenous lidocaine during craniotomy does not blunt inflammatory response to surgery
MC Niño1, D Cohen1, P Aguilar2, EE Rodríguez3, GA Madrid2
1Fundación Santa Fe de Bogotá, Neuroanesthesia Service, Bogotá, Colombia, 2Fundación Santa Fe de Bogotá, Anesthesiology Department, Bogotá, Colombia, 3Fundación Santa Fe de Bogotá, Intensive Care Department, Bogotá, Colombia
P194
Dose comparisons of fentanyl vs. morphine when used as infusion for analgosedation in mechanically ventilated adult intensive care unit patients.
A Casamento1, A Ghosh2, A Serpa Neto1, R Bellomo1
1Austin Hospital, ICU, Heidelberg, Australia, 2The Northern Hospital, ICU, Epping, Australia
Fentanyl (µg) | Morphine (mg) | Dose ratio Fentanyl:Morphine | |
---|---|---|---|
Hourly Dose*/ Total Cumulative dose | 57.9 (40.0–88.0)/1930.0 (622.5–4520.0) | 3.4 (2.2–4.9)/ 92.0 (41.5–275.0) | 1:59/1:48 |
Dose (Total/hourly*) | |||
Per weight (kg)$ | 23.6 (8.5–53.9)/ 0.7 (0.4–1.0) | 1.3 (0.5–3.5)/ 0.04 (0.02–0.06) | 1:55/1:55 |
Per BMI (kg/m2)# | 70.5 (28.7–173.3)/ 1.9 (1.3–3.1) | 4.0 (1.7–12.6)/ 0.11 (0.07–0.18) | 1:56/1:55 |
Per BSA (m2)# | 1156.9 (403.2–2622.3)/ 29.1 (19.3–46.6) | 61.2 (24.3–166.9)/ 1.7 (1.0–2.5) | 1:53/1:57 |
Per IBW (kg)# | 35.8 (11.8- 87.5)/ 0.9 (0.6–1.4) | 2.0 (0.7–4.9)/ 0.05 (0.03–0.08) | 1:55/1:58 |
Per LBW (kg)# | 39.3 (14.3–95.3)/1.1 (0.7–1.6) | 2.3 (0.9–5.7)/ 0.06 (0.03–0.09) | 1:59/1:57 |
P195
Dynamics of blood cytokines in neurosurgical patients under conditions of sedation-analgesia with opioids and alpha-2-adrenoagonists
NL Lesteva, A Kondratyev, ND Dryagina
1Almazov National Medical Research Centre, Anesthesiology and Intensive Care, Saint-Petersburg, Russian Federation
I | II | III | IV | |
---|---|---|---|---|
IL-8, pg/ml | 9,641 ± 2,038 | 9,357 ± 1,541 | 15,659 ± 4,113 | 10,968 ± 2,019 |
IL-6, pg/ml | 3,114 ± 0,842 | 2,877 ± 0,692 | 6,550 ± 0,784 | 30,890 ± 4,557 |
IL-10, pg/ml | 4,118 ± 0,751 | 4,618 ± 0,890 | 16,158 ± 4,126 | 5,142 ± 0,732 |
TNF, pg/ml | 8,391 ± 0,450 | 7,915 ± 0,387 | 8,316 ± 0,435 | 7,005 ± 0,347 |
P196
ICU-free and ventilator-free days with isoflurane or propofol as a primary sedative: a post-hoc analysis of the Sedaconda study
H Bracht1, A Meiser2, J Wallenborn3, R Knafelj4, P Sackey5, J Nilsson6, M Bellgardt7
1University Hospital Ulm, Dept. Emergency Medicine, Ulm, Germany, 2University Hospital Homburg/Saar, Department of Anesthesiology, Homburg, Germany, 3HELIOS Klinikum Aue, Department of Anesthesiology, AUE, Germany, 4University Medical Center Ljubljana, Klinični oddelek za interno intenzivno medicine, KOIIM, Ljubljana, Slovenia, 5Sedana Medical, Dept of Physiology and Pharmacology, Karolinska institutet, Stockholm, Danderyd, Sweden, 6Sedana Medical, Sedana Medical, Danderyd, Sweden, 7Katholisches Klinikum Bochum, Department of Anesthesiology, Bochum, Germany
Isoflurane (n = 69) | Propofol (n = 109) | p Value | |
---|---|---|---|
Age, mean (SD) years | 66 (11.8) | 66 (13.15) | 0.885 |
Female sex n (%) | 17 (24.6) | 38 (34.9) | 0.150 |
BMI, Mean (SD) kg/m2 | 27.5 (6.1) | 27.7 (7.2) | 0.958 |
Emergency admission n (%) | 39 (56.5) | 71 (65.1) | 0.299 |
Infection at admission, n (%) | 33 (47.8) | 57 (52.3) | 0.480 |
SAPS II score, mean (SD) | 40.1 (17.3) | 44.3 (18.3) | 0.191 |
SOFA score Mean (SD) 48 hours after randomisation | 7.5 (4.3) | 8.1 (3.7) | 0.378 |
P197
IgM/IgA-enriched immunoglobulins: more than an IVIg: about multimeric IgA, IgM & J-chain
FB Bohländer1, SW Weißmüller2, JS Schüttrumpf3, STF Faust1
1Biotest AG, Analytical Development and Validation, Dreieich, Germany, 2Biotest AG, Translational Research, Dreieich, Germany, 3Biotest AG, Corporate R&D, Dreieich, Germany
P198
Immunoglobulins combined with antibiotics improve outcome of patients with severe pneumococcal pneumonia. A retrospective observational study
M Benlabed1, S Benlabed2, R Gaudy3, S Nedjari4, A Ladjouze5, S Aissaoui5
1Lille University, Anesthesiology, Lille, France, 2Free University of Brussels, Internal Medicine, Brussels, Belgium, 3Lille University, Internal Medicine, Lille, France, 4Algiers University, Algiers, Algeria, 5Algiers University, Anesthesiology, Algiers, Algeria
Study group | Control group |
p
| |
---|---|---|---|
SOFA Score Day 4 | 4.53±0.71 | 7.22±072 | < 0.0001 |
ICU STAY (days) | 11.93±0.45 | 16.86±0.55 | < 0.0001 |
LOS (days) | 23.06±0.88 | 29.4±1.12 | < 0.004 |
Septic shock % | 30% | 50% | < 0.001 |
Time on MV (days) | 6.76±0.41 | 9.86±0.26 | < 0.0007 |
CRP day 2 (mg/l) | 14±2 | 47±5 | < 0.0001 |
PaO2/FiO2 ratio Day 3 | 220±5 | 180±6 | < 0.001 |