Admission predictors and clinical patterns of continued intensive care requirement at 48 hours in postoperative patients: a retrospective cohort study
Abstract
Keywords
Supporting Institution
Ethical Statement
References
- Nates JL, Nunnally M, Kleinpell R, et al. ICU admission, discharge, and triage guidelines: a framework to enhance clinical operations, development of institutional policies, and further research. Crit Care Med. 2016;44(8):1553-1602. doi:10.1097/CCM.0000000000001856
- Wu CP, Shirley RB, Milinovich A, et al. Exploring timely and safe discharge from ICU: a comparative study of machine learning predictions and clinical practices. Intensive Care Med Exp. 2025;13(1):10. doi:10.1186/s40635-025-00717-z
- Vollam S, Gustafson O, Morgan L, et al. Patient harm and institutional avoidability of out-of-hours discharge from the intensive care unit: an analysis using mixed methods. Crit Care Med. 2022;50(7):1083-1092. doi:10.1097/CCM.0000000000005514
- Hiller M, Wittmann M, Bracht H, Bakker J. Delphi study to derive expert consensus on a set of criteria to evaluate discharge readiness for adult ICU patients to be discharged to a general ward-European perspective. BMC Health Serv Res. 2022;22(1):773. doi:10.1186/s12913-022-08160-6
- Pardo À, Gómez J, Berrueta J, et al. Combining predictive models of mortality and time-to-discharge for improved outcome assessment in intensive care units. J Clin Med. 2025;14(13):4515. doi:10.3390/jcm14134515
- Xu Z, Yao S, Jiang Z, et al. Development and validation of a prediction model for postoperative intensive care unit admission in patients with non-cardiac surgery. Heart Lung. 2023;62:207-214. doi:10.1016/j.hrtlng.2023.08.001
- Chiu C, Braehler MR, Donovan AL, et al. Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery. BMC Anesthesiol. 2025;25:351. doi:10.1186/s12871-025-03195-8
- Stieger A, Schober P, Venetz P, et al. Predicting admission to and length of stay in intensive care units after general anesthesia: time-dependent role of pre- and intraoperative data for clinical decision-making. J Clin Anesth. 2025;103:111810. doi:10.1016/j.jclinane.2025.111810
Details
Primary Language
English
Subjects
Anaesthesiology, Intensive Care
Journal Section
Research Article
Authors
Mustafa Ay
*
0000-0001-6210-1083
Türkiye
Serap Avcı Ay
0000-0002-3871-9884
Türkiye
Şule Asri
0000-0001-9972-7020
Türkiye
Publication Date
October 25, 2026
Submission Date
August 13, 2026
Acceptance Date
October 18, 2026
Published in Issue
Year 2026 Volume: 7 Number: 5



