Predictive Scoring Model Identifies Risks for Unplanned ICU Readmission in Surgical Patients

Analyzing 1,112 surgical ICU patients, researchers identified congestive heart failure, high SOFA-hepatic score, carbapenem use, and pre-discharge factors (inadequate glycemic control, positive fluid balance, low PaO2/FiO2 ratio, and total parenteral nutrition) as predictors for unplanned ICU readmission. The developed scoring model showed good discrimination, with an AUC of 0.74. Patients with scores ≥4 points had a significantly higher observed unplanned readmission rate (20.2%) compared to those with scores <4 points (4%), emphasizing the model's potential for risk assessment.