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Tokarev A.R.

Tula State University;
Tula City Hospital No. 10

Brosalov A.S.

Tula State University

Antonov A.A.

Russian Medical Academy of Continuing Professional Education

Tokareva S.V.

Tula State University

Volyk V.S.

Tula State University

Creating an index reflexing cardiovascular risk using the vital functions integral analysis

Authors:

Tokarev A.R., Brosalov A.S., Antonov A.A., Tokareva S.V., Volyk V.S.

More about the authors

Journal: Russian Journal of Preventive Medicine. 2025;28(4): 82‑88

DOI: 10.17116/profmed20252804182

Read: 636 times

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Table of contents

CREATING AN INDEX REFLEXING CARDIOVASCULAR RISK USING THE VITAL FUNCTIONS INTEGRAL ANALYSIS
CREATING AN INDEX REFLEXING CARDIOVASCULAR RISK USING THE VITAL FUNCTIONS INTEGRAL ANALYSIS

To cite this article:

Tokarev AR, Brosalov AS, Antonov AA, Tokareva SV, Volyk VS. Creating an index reflexing cardiovascular risk using the vital functions integral analysis. Russian Journal of Preventive Medicine. 2025;28(4):82‑88. (In Russ.)
https://doi.org/10.17116/profmed20252804182

 
Подписка 2026 Профилактическая медицина (Russian Journal of Preventive Medicine)
 
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

OBJECTIVE

To develop the indicator representing stress cardiovascular risk through integral analysis of vital functions.

MATERIALS AND METHODS

A cross-sectional study, involving 1472 patients undergoing preventive medical examinations, was carried out. Integral analysis of vital functions (IAVFs) was done in all patients by means of a hardware and software complex measuring the indicators of autonomic nervous system, integral indicators of haemodynamics. Stress resistance index (SRI) was calculated. All patients were divided into five groups according to the 10-year cardiovascular risk global assessment scale. In all five groups, the correlation relationships between values of cardiovascular risk (CVR) and SRI were determined, median and interquartile intervals of SRI (Me [Q25; Q75]) were calculated with a subsequent statistical significance assessment of differences using the Kruskal—Wallis test. Mathematical processing of data for the development of a stress cardiovascular risk (SCVR) formula was performed.

RESULTS AND DISCUSSION

Correlation relationship between CVR and SRI has been found (r=–0.55, p<0.001). Statistically significant differences in the SRI median are observed in five groups Me5<Me4<Me3<Me2<Me1. The mathematical analysis has revealed a dependence between SRI and CVR, estimated by the 10-year cardiovascular risk global assessment scale. The following exponential function most accurately reflects this dependence: SCVR=758.76·exp(–0.5199·SRI).

CONCLUSION

The study confirmed that chronic stress is one of the most important factors of cardiovascular risk. We have developed a new indicator using integral analysis of vital functions — stress cardiovascular risk, which predicts 10-year risk of fatal and non-fatal cardiovascular events caused by the impact of chronic stress on the body.

Keywords:

cardiovascular risk
hardware and software complex
stress resistance
chronic stress

Authors:

Tokarev A.R.

Tula State University;
Tula City Hospital No. 10

Brosalov A.S.

Tula State University

Antonov A.A.

Russian Medical Academy of Continuing Professional Education

Tokareva S.V.

Tula State University

Volyk V.S.

Tula State University

Received:

12.12.2024

Accepted:

25.02.2025

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References:

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