TY - JOUR
T1 - Critical care unit bed availability and postoperative outcomes
T2 - a multinational cohort study
AU - SNAP-2: EPICCS collaborators
AU - Campbell, Ruaraidh A.S.
AU - Thevathasan, Tharusan
AU - Wong, Danny J.N.
AU - Wilson, Andrew M.
AU - Lindsay, Helen A.
AU - Campbell, Douglas
AU - Popham, Scott
AU - Barneto, Lisa M.
AU - Myles, Paul S.
AU - Moonesinghe, S. Ramani
AU - Malinovszky, Kathy
AU - Rawat, Shilpa
AU - Tyrrell, Samuel
AU - Anandarajah, Janakan
AU - Ball, Nicola
AU - Chapman, Catherine
AU - Ebejer, Amanda
AU - Gallagher, Maire
AU - Goff, Sarah
AU - Jackson, Rebecca
AU - James, Kathryn
AU - Jones, Claire
AU - Nageswaran, Hari
AU - Pudge, Harriet
AU - Sheppard, Thomas
AU - Vale, Owen
AU - Williams, Catrin
AU - Quinn, Leanne
AU - Sathe, Sonia
AU - Williams, Tom
AU - Winfield-Young, Lewys
AU - Bandara, Lalindra
AU - Barnes, Dennis
AU - Campbell, Alison
AU - Connor, Lynda
AU - Cook, Amanda
AU - Evans, Samantha
AU - Halfacree, Irina
AU - Harford, Rachel
AU - Harris, Catherine
AU - Jones, Sharon
AU - Mungai, Serah
AU - Perumal, Anand
AU - Smith, Trudy
AU - Spargo, James
AU - Storton, Sharon
AU - Thomas, Caradog
AU - Thomas, Charlotte
AU - Williams, Marie
AU - Edmunds, Matthew
N1 - Publisher Copyright:
© 2024 The Author(s). Anaesthesia published by John Wiley & Sons Ltd on behalf of Association of Anaesthetists.
PY - 2024/11
Y1 - 2024/11
N2 - Background: Critical care beds are a limited resource, yet research indicates that recommendations for postoperative critical care admission based on patient-level risk stratification are not followed. It is unclear how prioritisation decisions are made in real-world settings and the effect of this prioritisation on outcomes. Methods: This was a prespecified analysis of an observational cohort study of adult patients undergoing inpatient surgery, conducted in 274 hospitals across the UK and Australasia during 2017. The primary outcome was postoperative morbidity at day 7. Logistic regression models were used to evaluate the relationship between critical care admission and patient and health system factors. The causal effect of critical care admission on outcome was estimated using variation in critical care occupancy as a natural experiment in an instrumental variable analysis. Results: A total of 19,491 patients from 248 hospitals were eligible for analysis, of whom 2107 were directly admitted to critical care postoperatively. Postoperative morbidity occurred in 2829/19,491 (15%) patients. Increasing surgical risk was associated with critical care admission, as was increased availability of critical care beds (odds ratio (95%CI) 1.04 (1.01–1.06), p = 0.002) per available bed; however, the probability of admission varied significantly between hospitals (median odds ratio 3.05). There was no evidence of a difference in postoperative morbidity with critical care admission (odds ratio (95%CI) 0.91 (0.57–1.45), p = 0.710). Discussion: Postoperative critical care admission is variable and related to bed availability. Statistical methods that adjust for unobserved confounding lowered the estimates of harm previously reported to have been associated with postoperative critical care admission. Our findings provide a rationale for a clinical trial which would evaluate any potential benefits for postoperative critical care admission for patients in whom there is no absolute indication for admission.
AB - Background: Critical care beds are a limited resource, yet research indicates that recommendations for postoperative critical care admission based on patient-level risk stratification are not followed. It is unclear how prioritisation decisions are made in real-world settings and the effect of this prioritisation on outcomes. Methods: This was a prespecified analysis of an observational cohort study of adult patients undergoing inpatient surgery, conducted in 274 hospitals across the UK and Australasia during 2017. The primary outcome was postoperative morbidity at day 7. Logistic regression models were used to evaluate the relationship between critical care admission and patient and health system factors. The causal effect of critical care admission on outcome was estimated using variation in critical care occupancy as a natural experiment in an instrumental variable analysis. Results: A total of 19,491 patients from 248 hospitals were eligible for analysis, of whom 2107 were directly admitted to critical care postoperatively. Postoperative morbidity occurred in 2829/19,491 (15%) patients. Increasing surgical risk was associated with critical care admission, as was increased availability of critical care beds (odds ratio (95%CI) 1.04 (1.01–1.06), p = 0.002) per available bed; however, the probability of admission varied significantly between hospitals (median odds ratio 3.05). There was no evidence of a difference in postoperative morbidity with critical care admission (odds ratio (95%CI) 0.91 (0.57–1.45), p = 0.710). Discussion: Postoperative critical care admission is variable and related to bed availability. Statistical methods that adjust for unobserved confounding lowered the estimates of harm previously reported to have been associated with postoperative critical care admission. Our findings provide a rationale for a clinical trial which would evaluate any potential benefits for postoperative critical care admission for patients in whom there is no absolute indication for admission.
KW - critical care
KW - instrumental variable
KW - peri-operative care
UR - http://www.scopus.com/inward/record.url?scp=85205309166&partnerID=8YFLogxK
U2 - 10.1111/anae.16383
DO - 10.1111/anae.16383
M3 - Article
C2 - 39326458
AN - SCOPUS:85205309166
SN - 0003-2409
VL - 79
SP - 1165
EP - 1179
JO - Anaesthesia
JF - Anaesthesia
IS - 11
ER -