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

Authors

  • Khujamberdiyev I. R.
  • Salakhiddinov K. Z.
  • Vasilevskiy E. A.
  • Dadabaev O. T. Department of Faculty and Hospital Surgery No. 1, Andijan State Medical Institute, Andijan, Republic of Uzbekistan

Keywords:

Acute pancreatitis; personalised surgery; prognostic score; step-up algorithm; genetic predictors; minimally invasive necrosectomy; clinical outcomes; economic analysis; Uzbekistan; Central Asia.

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.

Downloads

Published

2026-03-06

Issue

Vol. 49 (2026)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

How to Cite

PERSONALISED SURGICAL ALGORITHM FOR ACUTE PANCREATITIS BASED ON CLINICAL, GENETIC AND IMAGING PREDICTORS: DEVELOPMENT, VALIDATION AND CLINICAL IMPACT. (2026). European Journal of Interdisciplinary Research and Development , 49, 39-46. https://ejird.journalspark.org/index.php/ejird/article/view/1973