PREDICTING THE SEVERITY OF PERITONEAL COMPLICATIONS IN PATIENTS WITH PERFORATION OF HOLLOW ORGANS

The article suggests that this method is suitable for predicting the course of peritoneal complications in patients with perforation of hollow organs. A study of risk factors influencing the treatment outcome was conducted, and an assessment system based on clinical and laboratory data was proposed. The results of the study may be useful for choosing treatment tactics and improving the effectiveness of medical care for patients. As part of the study, a prognostic model was developed that allows patients to be classified into risk groups (low, medium, and high) based on clinical and laboratory indicators such as CRP levels, leukocytes, hemoglobin, and coagulation parameters. The model enables a personalized approach to each patient, facilitates the recognition of those at high risk of complications such as sepsis and multiple organ failure, and allows for appropriate measures to be taken for recovery. When applying this model in clinical practice, measures are taken to reduce mortality and optimize the use of medical resources.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-03
DOI
https://doi.org/10.5281/zenodo.14796256
Primary Topic
Appendicitis Diagnosis and Management
Type
article
Field-Weighted Citation Impact
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article

PREDICTING THE SEVERITY OF PERITONEAL COMPLICATIONS IN PATIENTS WITH PERFORATION OF HOLLOW ORGANS

Zenodo (CERN European Organization for Nuclear Research)
Appendicitis Diagnosis and Management
article

PREDICTING THE SEVERITY OF PERITONEAL COMPLICATIONS IN PATIENTS WITH PERFORATION OF HOLLOW ORGANS

article en

Abstract

The article suggests that this method is suitable for predicting the course of peritoneal complications in patients with perforation of hollow organs. A study of risk factors influencing the treatment outcome was conducted, and an assessment system based on clinical and laboratory data was proposed. The results of the study may be useful for choosing treatment tactics and improving the effectiveness of medical care for patients. As part of the study, a prognostic model was developed that allows patients to be classified into risk groups (low, medium, and high) based on clinical and laboratory indicators such as CRP levels, leukocytes, hemoglobin, and coagulation parameters. The model enables a personalized approach to each patient, facilitates the recognition of those at high risk of complications such as sepsis and multiple organ failure, and allows for appropriate measures to be taken for recovery. When applying this model in clinical practice, measures are taken to reduce mortality and optimize the use of medical resources.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 41%
Appendicitis Diagnosis and Management
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