Scoring of Professional Longevity of Patients with Arterial Hypertension of Military Personnel – the Participants of Modern Armed Conflicts

Autor: Andrii Voronko, Olha Selіuk, Alla Buzhenko, Mariana Selіuk, Mykola Kozachok, Ivan Buzhenko, Oleksii Voronko, Liliia Dmytruk, Zhanna Buzhenko
Rok vydání: 2022
Zdroj: Family medicine. European practices. :11-17
ISSN: 2786-7218
2786-720X
DOI: 10.30841/2786-720x.4.2022.274623
Popis: The prediction of ability for military service by the health of patients who are experienced (with war experience) military persons with arterial hypertension (AH) with existing comorbid pathology is an urgent issue of today and a component of national security. The objective: to analyze the of factors that influence on the prognosis of health service for the military service of patientsmilitary personnel with AH – the participants of anti-terrorist operation / operation of the united forces (ATO / OUF), taking into account the available comorbid pathology. Materials and methods. Medical card of 213 military personnel – ATO/OUF participants with AH and comorbid pathology were analyzed. The first group included medical cards of 126 patients with AH stage I, the second group – medical cards of 87 patients with AH stage II. Clinical and laboratory, instrumental methods of research and consultation of narrow specialists and cumulative CIRS disease scale, which provides a separate total assessment of the condition of each of the organ systems on the range of Likert scale were used. Results. During the study, the professional longevity was forecasted using program Statistica SSP 10.0 and the forecasting of professional longevity using IBM SPSS 23.0. The most important prognostic factors that affect the change in the category of suitability for military service for the health of patients with AH of military personnel – ATO/OUF participants with comorbid pathology were determined, namely: age, sum of points on the cumulative CIRS scale and stage of AH (87.0 –91.8 % of the correct classifications of generated artificial neural networks, the area index under the ROC-curve AUC 0.971–0,992). Conclusions. Based on the statistics obtained data in the construction and analysis of artificial neural networks, the “algorithm for predicting a category of suitability for military service for the health of patients with arterial hypertension of military personnel – ATO/OUF participants with comorbid pathology” was developed.
Databáze: OpenAIRE
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