GENERALIZATION OF INFECTION IN PATIENTS WITH CHRONIC WOUNDS: CLINICAL FEATURES AND PREVENTIVE MEASURES

The study involved 150 patients with long-term non-healing wounds of various etiologies. Generalization of infection was recorded in 58% of patients, which required a change in the treatment regimen and hospitalization. The main clinical manifestations are fever, leukocytosis and deterioration of the general condition. The use of complex therapy, including antibacterial agents and immunomodulators, reduced the frequency of generalization of infection by 34% and accelerated wound healing by 25%.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-19
DOI
https://doi.org/10.5281/zenodo.14894082
Primary Topic
Multimodal Machine Learning Applications
Type
article
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article

GENERALIZATION OF INFECTION IN PATIENTS WITH CHRONIC WOUNDS: CLINICAL FEATURES AND PREVENTIVE MEASURES

Zenodo (CERN European Organization for Nuclear Research)
Multimodal Machine Learning Applications
article

GENERALIZATION OF INFECTION IN PATIENTS WITH CHRONIC WOUNDS: CLINICAL FEATURES AND PREVENTIVE MEASURES

article en

Abstract

The study involved 150 patients with long-term non-healing wounds of various etiologies. Generalization of infection was recorded in 58% of patients, which required a change in the treatment regimen and hospitalization. The main clinical manifestations are fever, leukocytosis and deterioration of the general condition. The use of complex therapy, including antibacterial agents and immunomodulators, reduced the frequency of generalization of infection by 34% and accelerated wound healing by 25%.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 56%
Multimodal Machine Learning Applications
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GENERALIZATION OF INFECTION IN PATIENTS WITH CHRONIC WOUNDS: CLINICAL FEATURES AND PREVENTIVE MEASURES · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS