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

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dc.contributor.authorKhujamberdiyev I. R.
dc.contributor.authorSalakhiddinov K. Z.
dc.contributor.authorVasilevskiy E. A.
dc.contributor.authorDadabaev O. T.
dc.date.accessioned2026-03-06T20:32:04Z
dc.date.issued2026-03-06
dc.description.abstractConventional 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.
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dc.identifier.urihttps://ejird.journalspark.org/index.php/ejird/article/view/1973
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/118229
dc.language.isoeng
dc.publisherJournal Park Publishing
dc.relationhttps://ejird.journalspark.org/index.php/ejird/article/view/1973/1911
dc.rightshttps://creativecommons.org/licenses/by-nd/4.0
dc.sourceEuropean Journal of Interdisciplinary Research and Development ; Vol. 49 (2026); 39-46
dc.source2720-5746
dc.subjectAcute pancreatitis; personalised surgery; prognostic score; step-up algorithm; genetic predictors; minimally invasive necrosectomy; clinical outcomes; economic analysis; Uzbekistan; Central Asia.
dc.titlePERSONALISED SURGICAL ALGORITHM FOR ACUTE PANCREATITIS BASED ON CLINICAL, GENETIC AND IMAGING PREDICTORS: DEVELOPMENT, VALIDATION AND CLINICAL IMPACT
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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