Development of a Cardiac Anesthesia Tool (CAT) to Predict Intensive Care Unit (ICU) Admission for Pediatric Cardiac Patients Undergoing Non-cardiac Surgery: A Retrospective Cohort Study

Abstract

Background and aim: of the work: Pediatric cardiac patients often undergo non-cardiac surgical procedures and many of these patients would require intensive care unit admission, but can we predict the need for ICU admission in pediatric cardiac patients undergoing non-cardiac procedures. Numerous preoperative and intraoperative variables were strongly associated with ICU admission. Given the variations in the underlying cardiac physiology and the diversity of non-cardiac surgical procedures along with the scarce predictive clinical tools, we aimed to develop a simple and practical tool to predict the need for ICU admission in pediatric cardiac patients undergoing non-cardiac procedures. Material and methods: This is a retrospective study, where all files of pediatric cardiac patients who underwent non-cardiac surgical procedures from January 1, 2015, to December 31, 2019, were reviewed. We retrieved details of the preoperative and intraoperative variables including age, weight, comorbid conditions, and underlying cardiac physi-ology. The primary outcome was the need for ICU admission. We performed multiple logistic regression analyses and analyses of the area under receiver operating characteristics (ROC) curves to develop a predictive tool. Results: In total, 519 patients were included. The mean age and weight were 4.6 ± 3.4 year and 16 ± 13 Kg respectively. A small proportion (n ¼ 90, 17%) required ICU admission. Statistically, there was strong association between each of American society of anesthesiologist's physical status (ASA-PS) class III and IV, difficult intubation, operative time more than 2 hours, requirement of transfusion and the failure of a deliberately planned extubation and ICU admission. Addi-tional analysis was done to develop a Cardiac Anesthesia Tool (CAT) based on the weight of each variable derived from the regression coefficient. The CAT list is composed of the ASA-PS, operative time, and requirement of transfusion, difficult intubation and the failure of deliberately planned extubation. The minimum score is zero and the maximum is eight. The probability of ICU admission is proportional to the score. Conclusion: CAT is a practical and simple clinical tool to predict the need for ICU admission based on simple additive score. We propose using this tool for pediatric cardiac patients undergoing non-cardiac procedure.