O051 Combining sarcopenia and asa status to inform emergency laparotomy outcomes: could it be that simple?

Abstract Introduction Emergency laparotomy mortality prediction tools are usually multipoint scoring systems such as NELA, ACS-NSQIP, and P-POSSUM. However, these tools are time consuming and complex to use. Sarcopenia on CT scans is correlated with mortality in emergency laparotomy patients and we explored the combination of this (as measured by PM:L3) with ASA as a simple and efficient tool to predict the outcome of Emergency Laparotomies. Methods A retrospective analysis was conducted across four hospitals, identifying 500 patients who underwent emergency laparotomies between 2016-2017 and had contemporaneous abdomino-pelvic CT scans. Radiological sarcopenia was measured using the PM:L3 ratio on a cross-sectional axial CT slice. PM:L3, NELA, ACS-NSQIP, and P-POSSUM, as well as simplified ASA (sASA) were retrospectively calculated and assessed as potential predictors of 30-, 90-, and 365-day mortality. Results ACS-NSQIP, NELA, P-POSSUM and PM:L3/sASA were each statistically significant predictors of 30-day, 90-day and 365-day mortality (p<0.001). Logistic regression models of 30-, 90- and 365-day mortality containing just the two predictors PM:L3 and simplified ASA exhibited AUCs of 0.838, 0.805 and 0.775 respectively, which are comparable with the best currently used predictors ACS-NSQIP and NELA. Conclusion Combining PM:L3 with ASA scores appears to be a significant predictor of 30-, 90-, and 365-day mortality in emergency laparotomy patients in Australia. The results are comparable with some of the best performing widely used risk assessment tools and provide a more time-efficient and accessible method of performing risk assessments in Emergency Laparotomy patients.