PERSONALIZED ALGORITHMS FOR PREDICTING AND PREVENTING ADHESION RECURRENCE IN PATIENTS WITH ACUTE INTESTINAL OBSTRUCTION

The article presents the theoretical foundations, clinical observations, and experimental data supporting the development and effectiveness of a multifactorial model for predicting adhesion recurrence in patients with acute intestinal obstruction. A risk stratification algorithm based on the assessment of biochemical and morphometric markers (oxyproline, matrix metalloproteinase-9 (MMP-9) extracellular matrix (ECM), fibroblast mitotic activity (FMA)) is described, along with an evaluation of the medical, social, and economic effectiveness of the proposed approach.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-21
DOI
https://doi.org/10.5281/zenodo.17169682
Primary Topic
Plant Ecology and Soil Science
Type
article
Field-Weighted Citation Impact
0.00
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article

PERSONALIZED ALGORITHMS FOR PREDICTING AND PREVENTING ADHESION RECURRENCE IN PATIENTS WITH ACUTE INTESTINAL OBSTRUCTION

Zenodo (CERN European Organization for Nuclear Research)
Plant Ecology and Soil Science
article

PERSONALIZED ALGORITHMS FOR PREDICTING AND PREVENTING ADHESION RECURRENCE IN PATIENTS WITH ACUTE INTESTINAL OBSTRUCTION

article en

Abstract

The article presents the theoretical foundations, clinical observations, and experimental data supporting the development and effectiveness of a multifactorial model for predicting adhesion recurrence in patients with acute intestinal obstruction. A risk stratification algorithm based on the assessment of biochemical and morphometric markers (oxyproline, matrix metalloproteinase-9 (MMP-9) extracellular matrix (ECM), fibroblast mitotic activity (FMA)) is described, along with an evaluation of the medical, social, and economic effectiveness of the proposed approach.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 43%
Plant Ecology and Soil Science
DOIOpen Access PDFOpenAlex
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PERSONALIZED ALGORITHMS FOR PREDICTING AND PREVENTING ADHESION RECURRENCE IN PATIENTS WITH ACUTE INTESTINAL OBSTRUCTION · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS