What question did this study set out to answer?

This study aims to identify risk factors for unplanned readmission to a surgical intensive care unit and assess their impact on patient outcomes.

Readmissions to a Surgical Intensive Care Unit: Incidence and Risk Stratification for Personalized Patient Care

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Retrospective cohort study identifies risk factors for readmissions in surgical patients, suggesting targeted strategies could improve outcomes.

This study aims to identify risk factors for unplanned readmission to a surgical intensive care unit and assess their impact on patient outcomes.
Conducted a retrospective cohort study of adults in a 20-bed surgical intensive care unit.
Included patients after non-cardiac surgeries such as elective, urgent, trauma, or liver transplantation.
Collected data on demographics, comorbidities, treatments, and complications for analysis.
Employed logistic regression to identify predictors of readmission and Kaplan–Meier curves for survival analysis.
UR-SICU occurred in 6.4% of patients, predominantly due to surgical complications like hemorrhage and sepsis.
Independent predictors for UR-SICU included age, active malignancy, and delirium during the first SICU stay.
Patients readmitted had significantly longer hospital stays (46 vs. 13 days) and much higher hospital mortality (27.1% vs. 1.48%).
Mortality rates were notably higher at 6 months (33.3% vs. 7.1%) and 1 year (42.3% vs. 11.1%).

Ramos et al. (2025) studied this question.

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Retrospective cohort study identifies risk factors for readmissions in surgical patients, suggesting targeted strategies could improve outcomes.