Comparison of ASA, SORT, CACI, and P-POSSUM Scores for Predicting Postoperative Intensive Care Unit Requirement in Patients Undergoing Oncologic Surgery

What this Trial Is About

Researchers are evaluating how well different risk scoring systems predict the need for intensive care unit (ICU) admission after surgery in adults undergoing cancer-related operations. This study focuses on adult patients having elective or emergency oncologic surgery and aims to improve patient safety and the use of ICU resources by identifying those likely to need critical care postoperatively. The trial is a single-center, prospective observational cohort study enrolling 500 participants. Participants will undergo standard oncologic surgery, and their preoperative clinical data, intraoperative variables, and perioperative characteristics will be collected. The study assesses several risk scores including ASA Physical Status, Surgical Outcome Risk Tool (SORT), Age-adjusted Charlson Comorbidity Index (CACI), Portsmouth Physiological and Operative Severity Score (P-POSSUM), Eastern Cooperative Oncology Group (ECOG) performance status, Nutritional Risk Screening 2002 (NRS-2002), and serum albumin levels. These scores will be compared to see how well they predict ICU admission within 24 hours after surgery. During the study, researchers will record preoperative and surgical data and monitor patients for ICU admission and other outcomes such as unplanned ICU stays, mechanical ventilation needs, ICU and hospital length of stay, and mortality within 30 days. The main measurement is the rate of unplanned ICU admission within 24 hours post-surgery. Data will be analyzed using statistical models to evaluate the accuracy of each scoring system. Participants will be followed through their hospital stay and up to 30 days after surgery to determine these outcomes.

Prediction of Postoperative ICU Requirement in Oncologic Surgery