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REVIEW ARTICLE
Year : 2022  |  Volume : 2  |  Issue : 4  |  Page : 143-151

Prediction of severity outcomes in acute pancreatitis: An odyssey in eternal evolution


Institute of Gastroenterology, Hepatobiliary Sciences and Transplantation, SRM Institute for Medical Science, Chennai, Tamil Nadu, India

Correspondence Address:
Rohan Yewale
Institute of Gastroenterology, Hepatobiliary Sciences and Transplantation, SRM Institute for Medical Science, Chennai, Tamil Nadu
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ghep.ghep_24_22

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Acute pancreatitis (AP) is one of the most frequently encountered gastrointestinal emergencies in clinical practice. It has a wide clinical spectrum and a natural history which varies significantly from patient to patient as well as between two distinct episodes in a single patient. Severe AP often causes considerable morbidity and mortality with a substantial financial burden on the health-care system. The natural course and severity manifestations of AP gradually unfold and can be defined only after the initial 48–72 h of symptom onset. Early identification of patients at high risk for developing a severe course of the disease is crucial for preventing organ failure and death. A vast number of clinical, laboratory, and radiological markers and scoring systems which can predict severity outcomes of AP during this early phase, are described in literature. With a recent exploration of molecular genetics, gut microbiome analysis, and advent of artificial intelligence-derived models, these markers and scoring systems are undergoing constant evolution. Unlike the universally accepted Revised Atlanta classification for defining the severity of AP, there is no uniform consensus on the use of any particular marker or scoring system for early prediction of AP severity. Our review briefly summarizes the available literature on the early prediction of severity outcomes in AP and highlights a few recent advances in this field.


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