PERSONALISED SURGICAL ALGORITHM FOR ACUTE PANCREATITIS BASED ON CLINICAL, GENETIC AND IMAGING PREDICTORS: DEVELOPMENT, VALIDATION AND CLINICAL IMPACT

Abstract

Conventional step-up algorithms for acute pancreatitis (AP) guide surgical decision-making primarily on severity at 48-72 hours, a window that often exceeds the optimal time for early intervention. Integrating molecular-genetic risk profiling at admission enables personalised triage and operative timing. We report the development, prospective validation and clinical impact of such an algorithm.