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Erschienen in: Intensive Care Medicine 9/2018

27.07.2018 | Original

Intensive care utilization following major noncardiac surgical procedures in Ontario, Canada: a population-based study

verfasst von: Angela Jerath, Andreas Laupacis, Peter C. Austin, Hannah Wunsch, Duminda N. Wijeysundera

Erschienen in: Intensive Care Medicine | Ausgabe 9/2018

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Abstract

Purpose

Patients are sometimes admitted to intensive care units (ICU) after elective noncardiac surgery for advanced monitoring and treatments not available on a general postsurgical ward. However, patterns of ICU utilization are poorly understood. Our aims were to assess the incidence and determinants of ICU utilization after elective noncardiac surgical procedures.

Methods

Population-based cohort study included adult patients who underwent 13 types of major elective noncardiac surgical procedures between 2006 and 2014 in Ontario, Canada. Primary outcome was early admission to ICU within 24 h after surgery. A prespecified analysis using multilevel logistic regression modeling separately examined patient- and hospital-level factors associated with early ICU admission within distinct groups of surgical procedures.

Results

Early ICU admission occurred in 9.6% of the included 541,524 patients. Patients admitted early to ICU showed higher median age (68 vs. 65 years), burden of prehospital comorbidities (Charlson comorbidity index score ≥ 2, 33.1 vs. 10.4%), 30-day mortality rates (2.4 vs. 0.3%), and longer median postoperative hospital stays (6 vs. 4 days) than patients admitted to a ward. There was wide variation in proportions of patients admitted early to ICU across different surgery types (0.9% for hysterectomy to 90.8% for open abdominal aortic aneurysm repair) with generally low 30-day mortality across procedures (0.1–2.8%). Within individual procedures, there was wide interhospital variation in the range of early ICU admission rates (hysterectomy 0.07–14.4%, lower gastrointestinal resection 1.3–95%, endovascular aortic aneurysm 1.3–95.2%). The individual hospital where surgery was performed accounted for a large proportion of the variation in early ICU admission rates, with the median odds ratio ranging from 2.3 for hysterectomy to 21.5 for endovascular aortic aneurysm.

Conclusions

There is a wide variation in early ICU admission across and within surgical procedures. The individual hospital accounts for a large proportion of this variation. Further research is required to identify the basis for this variation and to develop better methods for allocating ICU resources for postoperative management of surgical patients.
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Literatur
1.
Zurück zum Zitat Weiser TG, Haynes AB, Molina G, Lipsitz SR, Esquivel MM, Uribe-Leitz T, Fu R, Azad T, Chao TE, Berry WR, Gawande AA (2015) Estimate of the global volume of surgery in 2012: an assessment supporting improved health outcomes. Lancet 385:S11CrossRefPubMed Weiser TG, Haynes AB, Molina G, Lipsitz SR, Esquivel MM, Uribe-Leitz T, Fu R, Azad T, Chao TE, Berry WR, Gawande AA (2015) Estimate of the global volume of surgery in 2012: an assessment supporting improved health outcomes. Lancet 385:S11CrossRefPubMed
2.
Zurück zum Zitat Gillies MA, Harrison EM, Pearse RM, Garrioch S, Haddow C, Smyth L, Parks R, Walsh TS, Lone NI (2017) Intensive care utilization and outcomes after high-risk surgery in Scotland: a population-based cohort study. Br J Anaesth 118:123–131CrossRefPubMed Gillies MA, Harrison EM, Pearse RM, Garrioch S, Haddow C, Smyth L, Parks R, Walsh TS, Lone NI (2017) Intensive care utilization and outcomes after high-risk surgery in Scotland: a population-based cohort study. Br J Anaesth 118:123–131CrossRefPubMed
3.
Zurück zum Zitat Biccard BM, Madiba TE, South African Surgical Outcomes Study Investigators (2015) The South African Surgical Outcomes Study: a 7-day prospective observational cohort study. S Afr Med J 105:465CrossRefPubMed Biccard BM, Madiba TE, South African Surgical Outcomes Study Investigators (2015) The South African Surgical Outcomes Study: a 7-day prospective observational cohort study. S Afr Med J 105:465CrossRefPubMed
4.
Zurück zum Zitat Pearse RM, Moreno RP, Bauer P, Pelosi P, Metnitz P, Spies C, Vallet B, Vincent J-L, Hoeft A, Rhodes A (2012) Mortality after surgery in Europe: a 7 day cohort study. Lancet 380:1059–1065CrossRefPubMedPubMedCentral Pearse RM, Moreno RP, Bauer P, Pelosi P, Metnitz P, Spies C, Vallet B, Vincent J-L, Hoeft A, Rhodes A (2012) Mortality after surgery in Europe: a 7 day cohort study. Lancet 380:1059–1065CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Canadian Institute for Health Information (CIHI). Care in Canadian ICUs. August 2016 Canadian Institute for Health Information (CIHI). Care in Canadian ICUs. August 2016
6.
Zurück zum Zitat Wunsch H, Gershengorn HB, Cooke CR, Guerra C, Angus DC, Rowe JW, Li G (2016) Use of intensive care services for medicare beneficiaries undergoing major surgical procedures. Anesthesiology 124:899–907CrossRefPubMedPubMedCentral Wunsch H, Gershengorn HB, Cooke CR, Guerra C, Angus DC, Rowe JW, Li G (2016) Use of intensive care services for medicare beneficiaries undergoing major surgical procedures. Anesthesiology 124:899–907CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Kahan BC, Koulenti D, Arvaniti K, Beavis V, Campbell D, Chan M, Moreno R, Pearse RM, International Surgical Outcomes Study Group (2017) Critical care admission following elective surgery was not associated with survival benefit: prospective analysis of data from 27 countries. Intensive Care Med 43:971–979CrossRefPubMed Kahan BC, Koulenti D, Arvaniti K, Beavis V, Campbell D, Chan M, Moreno R, Pearse RM, International Surgical Outcomes Study Group (2017) Critical care admission following elective surgery was not associated with survival benefit: prospective analysis of data from 27 countries. Intensive Care Med 43:971–979CrossRefPubMed
8.
Zurück zum Zitat Gillies MA, Pearse RM (2016) Intensive care after high-risk surgery: what’s in a name? Anesthesiology 124:761–762CrossRefPubMed Gillies MA, Pearse RM (2016) Intensive care after high-risk surgery: what’s in a name? Anesthesiology 124:761–762CrossRefPubMed
9.
Zurück zum Zitat Ghaffar S, Pearse RM, Gillies MA (2017) ICU admission after surgery: who benefits? Curr Opin Crit Care 23:424–429CrossRefPubMed Ghaffar S, Pearse RM, Gillies MA (2017) ICU admission after surgery: who benefits? Curr Opin Crit Care 23:424–429CrossRefPubMed
10.
Zurück zum Zitat Gillies MA, Power GS, Harrison DA, Fleming A, Cook B, Walsh TS, Pearse RM, Rowan KM (2015) Regional variation in critical care provision and outcome after high-risk surgery. Intensive Care Med 41:1809–1816CrossRefPubMed Gillies MA, Power GS, Harrison DA, Fleming A, Cook B, Walsh TS, Pearse RM, Rowan KM (2015) Regional variation in critical care provision and outcome after high-risk surgery. Intensive Care Med 41:1809–1816CrossRefPubMed
11.
Zurück zum Zitat Wunsch H, Angus DC, Harrison DA, Collange O, Fowler R, Hoste EA, de Keizer NF, Kersten A, Linde-Zwirble WT, Sandiumenge A, Rowan KM (2008) Variation in critical care services across North America and Western Europe. Crit Care Med 36(2787–2793):e2781–e2789 Wunsch H, Angus DC, Harrison DA, Collange O, Fowler R, Hoste EA, de Keizer NF, Kersten A, Linde-Zwirble WT, Sandiumenge A, Rowan KM (2008) Variation in critical care services across North America and Western Europe. Crit Care Med 36(2787–2793):e2781–e2789
12.
Zurück zum Zitat Wunsch H, Angus DC, Harrison DA, Linde-Zwirble WT, Rowan KM (2011) Comparison of medical admissions to intensive care units in the United States and United Kingdom. Am J Respir Crit Care Med 183:1666–1673CrossRefPubMed Wunsch H, Angus DC, Harrison DA, Linde-Zwirble WT, Rowan KM (2011) Comparison of medical admissions to intensive care units in the United States and United Kingdom. Am J Respir Crit Care Med 183:1666–1673CrossRefPubMed
13.
Zurück zum Zitat International Surgical Outcomes Study Group (2016) Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle- and high-income countries. Br J Anaesth 117:601–609CrossRef International Surgical Outcomes Study Group (2016) Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle- and high-income countries. Br J Anaesth 117:601–609CrossRef
14.
Zurück zum Zitat Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudanal studies: development and validation. J Chron Dis 40:373–383CrossRefPubMed Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudanal studies: development and validation. J Chron Dis 40:373–383CrossRefPubMed
15.
Zurück zum Zitat Charlson ME, Szatrowski TP, Peterson J, Gold J (1994) Validation of a combined comorbidity index. J Clin Epidemiol 47:1245–1251CrossRefPubMed Charlson ME, Szatrowski TP, Peterson J, Gold J (1994) Validation of a combined comorbidity index. J Clin Epidemiol 47:1245–1251CrossRefPubMed
16.
Zurück zum Zitat Hux JE, Ivis F, Flintoft V, Bica A (2002) Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 25:512–516CrossRefPubMed Hux JE, Ivis F, Flintoft V, Bica A (2002) Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 25:512–516CrossRefPubMed
17.
Zurück zum Zitat Tu K, Campbell NRC, Chen Z, Cauch-Dudek KJ, McAlister FA (2007) Accuracy of administrative databases in identifying patients with hypertension. Open Med 1:E18–E26PubMedPubMedCentral Tu K, Campbell NRC, Chen Z, Cauch-Dudek KJ, McAlister FA (2007) Accuracy of administrative databases in identifying patients with hypertension. Open Med 1:E18–E26PubMedPubMedCentral
18.
Zurück zum Zitat Gershon AS, Wang C, Guan J, Vasilevska-Ristovska J, Cicutto L, To T (2009) Identifying individuals with physician diagnosed COPD in health administrative databases. Copd 6:388–394CrossRefPubMed Gershon AS, Wang C, Guan J, Vasilevska-Ristovska J, Cicutto L, To T (2009) Identifying individuals with physician diagnosed COPD in health administrative databases. Copd 6:388–394CrossRefPubMed
19.
Zurück zum Zitat Quan H, Khan N, Hemmelgarn BR, Tu K, Chen G, Campbell N, Hill MD, Ghali WA, McAlister FA (2009) Validation of a case definition to define hypertension using administrative data. Hypertension 54:1423–1428CrossRefPubMed Quan H, Khan N, Hemmelgarn BR, Tu K, Chen G, Campbell N, Hill MD, Ghali WA, McAlister FA (2009) Validation of a case definition to define hypertension using administrative data. Hypertension 54:1423–1428CrossRefPubMed
20.
Zurück zum Zitat Garland A, Yogendran M, Olafson K, Scales DC, McGowan KL, Fransoo R (2012) The accuracy of administrative data for identifying the presence and timing of admission to intensive care units in a Canadian province. Med Care 50:e1–e6CrossRefPubMed Garland A, Yogendran M, Olafson K, Scales DC, McGowan KL, Fransoo R (2012) The accuracy of administrative data for identifying the presence and timing of admission to intensive care units in a Canadian province. Med Care 50:e1–e6CrossRefPubMed
21.
Zurück zum Zitat Scales DC, Guan J, Martin CM, Redelmeier DA (2006) Administrative data accurately identified intensive care unit admissions in Ontario. J Clin Epidemiol 59:802–807CrossRefPubMed Scales DC, Guan J, Martin CM, Redelmeier DA (2006) Administrative data accurately identified intensive care unit admissions in Ontario. J Clin Epidemiol 59:802–807CrossRefPubMed
22.
Zurück zum Zitat Juurlink D, Preyra C, Croxford R, Chong A, Austin P (2006) Canadian Institute for health information discharge abstract database: a validation study. ICES investigative report, Toronto Juurlink D, Preyra C, Croxford R, Chong A, Austin P (2006) Canadian Institute for health information discharge abstract database: a validation study. ICES investigative report, Toronto
23.
Zurück zum Zitat Canadian Institute for Health Information (CIHI). CIHI data quality study of the 2009–2010. Discharge Abstract Database. Revised June 2012 Canadian Institute for Health Information (CIHI). CIHI data quality study of the 2009–2010. Discharge Abstract Database. Revised June 2012
24.
Zurück zum Zitat Mukaka MM (2012) Statistics corner: a guide to appropriate use of correlation coefficient in medical research. Malawi Med J 24:69–71PubMedPubMedCentral Mukaka MM (2012) Statistics corner: a guide to appropriate use of correlation coefficient in medical research. Malawi Med J 24:69–71PubMedPubMedCentral
25.
27.
Zurück zum Zitat Austin PC, Steyerberg EW (2014) Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers. Stat Med 33:517–535CrossRefPubMed Austin PC, Steyerberg EW (2014) Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers. Stat Med 33:517–535CrossRefPubMed
28.
Zurück zum Zitat Admon AJ, Wunsch H, Iwashyna TJ, Cooke CR (2017) Hospital contributions to variability in the use of ICUs among elderly Medicare recipients. Crit Care Med 45:75–84CrossRefPubMedPubMedCentral Admon AJ, Wunsch H, Iwashyna TJ, Cooke CR (2017) Hospital contributions to variability in the use of ICUs among elderly Medicare recipients. Crit Care Med 45:75–84CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Gershengorn HB, Iwashyna TJ, Cooke CR, Scales DC, Kahn JM, Wunsch H (2012) Variation in use of intensive care for adults with diabetic ketoacidosis. Crit Care Med 40:2009–2015CrossRefPubMedPubMedCentral Gershengorn HB, Iwashyna TJ, Cooke CR, Scales DC, Kahn JM, Wunsch H (2012) Variation in use of intensive care for adults with diabetic ketoacidosis. Crit Care Med 40:2009–2015CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Chen R, Strait KM, Dharmarajan K, Li SX, Ranasinghe I, Martin J, Fazel R, Masoudi FA, Cooke CR, Nallamothu BK, Krumholz HM (2015) Hospital variation in admission to intensive care units for patients with acute myocardial infarction. Am Heart J 170:1161–1169CrossRefPubMedPubMedCentral Chen R, Strait KM, Dharmarajan K, Li SX, Ranasinghe I, Martin J, Fazel R, Masoudi FA, Cooke CR, Nallamothu BK, Krumholz HM (2015) Hospital variation in admission to intensive care units for patients with acute myocardial infarction. Am Heart J 170:1161–1169CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Gershengorn HB, Garland A, Gong MN (2015) Patterns of daily costs differ for medical and surgical intensive care unit patients. Ann Am Thorac Soc 12:1831–1836CrossRefPubMed Gershengorn HB, Garland A, Gong MN (2015) Patterns of daily costs differ for medical and surgical intensive care unit patients. Ann Am Thorac Soc 12:1831–1836CrossRefPubMed
32.
Zurück zum Zitat Sjoding MW, Prescott HC, Wunsch H, Iwashyna TJ, Cooke CR (2015) Hospitals with the highest intensive care utilization provide lower quality pneumonia care to the elderly. Crit Care Med 43:1178–1186CrossRefPubMedPubMedCentral Sjoding MW, Prescott HC, Wunsch H, Iwashyna TJ, Cooke CR (2015) Hospitals with the highest intensive care utilization provide lower quality pneumonia care to the elderly. Crit Care Med 43:1178–1186CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Valley TS, Sjoding MW, Ryan AM, Iwashyna TJ, Cooke CR (2015) Association of intensive care unit admission with mortality among older patients with pneumonia. JAMA 314:1272–1279CrossRefPubMedPubMedCentral Valley TS, Sjoding MW, Ryan AM, Iwashyna TJ, Cooke CR (2015) Association of intensive care unit admission with mortality among older patients with pneumonia. JAMA 314:1272–1279CrossRefPubMedPubMedCentral
Metadaten
Titel
Intensive care utilization following major noncardiac surgical procedures in Ontario, Canada: a population-based study
verfasst von
Angela Jerath
Andreas Laupacis
Peter C. Austin
Hannah Wunsch
Duminda N. Wijeysundera
Publikationsdatum
27.07.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Intensive Care Medicine / Ausgabe 9/2018
Print ISSN: 0342-4642
Elektronische ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-018-5330-6

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