SERUM BIOMARKERS FOR EARLY SEVERITY STRATIFICATION IN ACUTE PANCREATITIS: A NARRATIVE REVIEW


Baltabayeva A.D. Shakeev K.T. Klyuyev D.A. Ogizbayeva A.V.
January 2025Georgian Association of Business Press

Georgian Medical News
2025#367Issue 10153 - 159 pp.

Background: Acute pancreatitis (AP) is an inflammatory disorder with an unpredictable course, ranging from mild self-limiting forms to necrotizing pancreatitis with multiple organ failure. Despite advances in imaging and scoring systems, early severity prediction remains a major challenge. Circulating biomarkers have gained attention as tools for improving diagnostic precision and patient risk stratification. Aim: To summarize and сcomprehensively evaluate current literature on serum biomarkers used or proposed for predicting acute pancreatitis severity and complications, and to determine their prognostic and clinical value for potential integration into existing scoring systems. Materials and Methods: A comprehensive search of PubMed, Scopus, Google Scholar, and The Cochrane Library identified retrospective and prospective studies assessing diagnostic and prognostic performance of biomarkers - C-reactive protein (CRP), procalcitonin, lipase, angiopoietins (ANG-1, ANG-2), fibrinogen-like proteins (FGL1, FGL2) and interleukins (IL-6, IL-38). Results: Classical biomarkers (CRP, procalcitonin, nitrogen, protein, and electrolyte indicators) retain diagnostic relevance but show limited specificity. Emerging markers (angiopoietin-2, FGL1, FGL2, cytokines, D-dimer) demonstrate higher sensitivity and prognostic accuracy for organ failure and necrosis, though clinical use remains limited by cost and lack of multicenter validation. Conclusion: Serum biomarkers hold significant potential for improving early severity prediction in AP. Integrating novel and traditional markers with scoring systems may enhance diagnostic accuracy and guide timely intervention. Further multicenter studies are required for clinical validation and implementation.

Acute pancreatitis , and risk prediction. , angiopoietin-2 , C-reactive protein , D-dimer , fibrinogen-like protein 2 (FGL2) , interleukin-6 , procalcitonin , prognostic biomarkers

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PhD candidate, NJSC Karaganda Medical University, Karaganda, Kazakhstan
Department of Surgical Diseases, NJSC Karaganda Medical University, Karaganda, Kazakhstan
Candidate of Medical Sciences, Director of the Institute of Life Sciences, NJSC Karaganda Medical University, Karaganda, Kazakhstan
Associate Professor of the Department of Emergency Medical Care, Anesthesiology and Resuscitation NJSC “Karaganda Medical University”, Karaganda, Kazakhstan

PhD candidate
Department of Surgical Diseases
Candidate of Medical Sciences
Associate Professor of the Department of Emergency Medical Care

10 лет помогаем публиковать статьи Международный издатель

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