Ontology highlight
ABSTRACT: Objectives
To determine the incidence of in-hospital postoperative mortality and validate the Preoperative Score to Predict Postoperative Mortality (POSPOM).Design
Retrospective case-control study.Setting
A tertiary university hospital in Thailand.Participants
All patients who underwent surgical procedures in 2019 under any anaesthesia technique.Main outcome measures
Incidence of in-hospital postoperative mortality and POSPOM score performance (sensitivity, specificity and predictive values).Results
A total of 39 674 patients underwent surgery in 2019. The in-hospital postoperative mortality rate was 0.76% (95% CI 0.68% to 0.85%). After excluding cases per POSPOM criteria, 270 deceased patients remained. The POSPOM score was validated against
SUBMITTER: Mangmeesri P
PROVIDER: S-EPMC12421188 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature