METHOD OF ESTIMATION OF PHYSIOLOGICAL ADAPTATION AND THE RATE OF AGING IN PATIENTS WITH A HISTORY OF EMOTIONAL STRESS IN COMBAT SITUATION


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Abstract

Aim - to develop an automated program for the evaluation of physiological adaptation of the cardiovascular system for combat veterans. Materials and methods. The study included 60 male patients, average age 53.13 ± 2.9 years, who participated in combat operations in Afghanistan (1979 - 1989) and Chechnya (1994 - 2002). The study of adaptive homeostasis of the cardiovascular system is made on cellular, microvascular, cardiovascular and organ levels. Results. The veterans of combat operations are characterized by disturbances in the psychological, physiological and social adaptation, which leads to premature aging. The cardiovascular system is highly reactive and plays a major role in the adaptive changes of the functional state of the organism. Based on the model of canonical correlation with step-by-step inclusion and exclusion of predictors, parameters of the cardiovascular system, a computer system for assessment of the degree of adaptation was developed. Conclusion. The developed automated system can be used in treatment, prophylactic and rehabilitation institutions, as well as in research and education centers for the diagnosis and monitoring of the effectiveness of therapeutic and rehabilitation measures.

About the authors

SV V Bulgakova

Samara State Medical University

Email: osteoporosis63@gmail.com
PhD, associate professor, head of the Department of geriatrics and age-specific endocrinology, Samara State Medical University

EV V Treneva

Samara State Medical University

Email: eka1006@yandex.ru
PhD, assistant of the Department of geriatrics and age-specific endocrinology, Samara State Medical University Samara State Medical University, 89 Chapaevskaya st., Samara

NO O Zakharova

Samara State Medical University

Email: geriatry@mail.ru
PhD, professor of the Department of geriatrics and age-specific endocrinology, Samara State Medical University

MV V Komarova

Samara State Medical University; Samara National Research University

Email: marinakom@yandex.ru
PhD, associate professor, researcher of the Department of high performance computing and big data processing center for breakthrough research «Information technologies in medicine» of Samara State Medical University, associate professor of the Department of laser and biotechnical systems of Samara National Research University

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Copyright (c) 2017 Bulgakova S.V., Treneva E.V., Zakharova N.O., Komarova M.V.

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