Perioperative medicine & outcomes
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
Authors' conclusion
Intraoperative data are crucial for immediate postoperative decisions, while preoperative data are essential for extended LOS predictions.
Study context
- Population
- Patients who underwent general anesthesia at Seoul National University Hospital, August 2016 to June 2017sub-cohort
- Participants
- 6,043 patients
- Comparison
- Prediction models using preoperative vs intraoperative data
- Outcome
- ICU admission and LOS thresholds (e.g. LOS more than a week)
Methodological detailssingle-centre, decision curve analysis, machine learning
- Single-centre
- Decision curve analysis
- Machine learning
Performance
As reported in the abstract
Prediction of ICU admission and LOS
Admitted to the intensive care unit (ICU)
19.8 %
ICU stay longer than a week
1.4 %
Discrimination (AUROC) of prediction models
0.93 to 0.96
Original publication
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. Published 9 March 2025. doi:10.
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