The novel derived preoperative-POSSUM score as a predictor of surgical patients’ allocation to an elective postoperative ICU ordered by anesthesiologists at Cairo University Hospital

Backgroun d Anesthesiologists depend on multiple factors to request a postoperative ICU bed after elective surgeries. This decision may be based on the risk of surgery and comorbidities. Some surgeries may be postponed, or some patients may be exposed to unnecessary ICU admission. So, this aroused the need for certain scores upon which anesthesiologist could build their request for ICU admission. Aim To evaluate the accuracy of the pre-Physiological and Operative Severity Score for the enumeration of Mortality and Morbidity (POSSUM) score as a predictor for the need for postoperative ICU. Patients and methods This study calculated the POSSUM score preoperatively (pre-POSSUM) for 308 patients who underwent elective general surgeries at Kasr Alainy Hospital, a leading tertiary care hospital in Cairo, Egypt. Results Our study showed the possibility of having a cutoff value of pre-POSSUM score that could predict patients who would benefit most from a postoperative ICU stay. The best cutoff value for the estimated morbidity percent was 19.545, with 100% sensitivity and 64.3% specificity. Moreover, the estimated mortality percent at a cutoff value of 3.375 showed 100% sensitivity and 62% specificity. Conclusion The pre-POSSUM could be used as a reliable tool for the allocation of patients after elective general surgeries, identify those who require intensive postoperative care, and use the cutoff values shown in a study to help to triage patients after elective surgeries.