Contribution of electrocardiography to the diagnosis of cardiomyopathies and athletic heart syndrome

Чумакова, О. С.; Исаева, М. Ю.; Koroleva, O.; Затейщиков, Д. А.

doi:10.15829/1560-4071-2020-4023

Cited by 2 publications

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“…В этом отношении использование новых технологий визуализации сердца позволяет выявить доклинические нарушения миокарда при различных физиологических и патологических состояниях, значительно расширяя диагностические возможности [2,3]. Исследование функционального состояния сердечно-сосудистой системы (ССС) к физическим нагрузкам с оценкой адаптационного потенциала аппарата кровообращения и роста спортивных результатов относится к важнейшим задачам подготовки квалифицированных спортсменов [4][5][6].…”

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Predictive factors of cardiovascular changes depending on the type and intensity of physical activity in professional athletes

et al. 2021

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Aim. To determine the early predictive factors of cardiovascular changes in professional athletes, depending on the type and intensity of physical activity.Material and methods. A total of 136 male athletes were examined. Of these, 116 were professional athletes (age, 22,07±4,1 years) as follows: freestyle wrestling, judo (n=30), cross-country skiing, biathlon (n=27), powerlifting (n=33), volleyball (n=26). Control group included 20 athletes (age, 17,95±1,5 years) with a history of training less than 3 years. All participants underwent electrocardiography (ECG), echocardiography, cycle ergometry (CE) with assessment of physical performance at a heart rate of 170 bpm (PWC170) and maximum oxygen consumption (MOC). When creating predictive models of early cardiovascular changes, we used logistic regression, stepwise regression and Wald statistics. Differences were considered significant at p<0,05.Results. Predictive models of logistic regression using ROC analysis showed high sensitivity and specificity, a high percentage of correct predictions using data from echocardiography — 86,8%, CE — 80,9%, ECG and other indicators — 83,1%. A stepwise algorithm was used to select prognostic factors determining early cardiovascular changes in young athletes, depending on the stage of sports training, the intensity and type of dynamic and/or static exercise: left ventricular posterior wall thickness (p=0,008), left ventricular mass (p=0,001), stroke volume (p=0,002), end-systolic volume (p=0,001), PWC170 (p=0,025), MOC (p=0,003), recovery time of heart rate (HR) (p=0,029) and blood pressure (p=0,032) after submaximal exercise on a cycle ergometer, body mass index (p=0,029), heart rate (p=0,034), office systolic blood pressure (p=0,009), intraventricular (bundle) block (p=0,046), left ventricular repolarization abnormalities (p=0,010), mild cardiac connective tissue anomalies (p=0,035).Conclusion. The early prognostic factors established by the logistic regression affect the characteristics and risk of cardiovascular changes in each group of young athletes. This demonstrates the need to develop individual medical support programs, further monitoring, evaluation, correction and prevention of identified disorders, taking into account the type of sports, intensity and exercise.

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Predictive factors of cardiovascular changes depending on the type and intensity of physical activity in professional athletes

et al. 2021

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“…Критериями исключения из исследования явилось наличие сердечнососудистой или хронической некар диальной патологии у спортсменов [8][9][10].…”

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Left ventricular myocardial remodeling in playing sports athletes

Bryntseva

2022

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The article presents the results of an echocardiographic study of 64 male playing sports athletes (basketball and football). The results of the study showed that up to the age of 19 in playing sports athletes, only normal geometry of the left ventricle is observed. With age and, accordingly, with an increase in the experience of playing sports, the number of eccentric and concentric remodeling and eccentric and concentric myocardial hypertrophy increases statistically. The percentage of concentric myocardial hypertrophy (pathological remodeling) was 6.5 %, 12.5 % and 7.7 % in the groups 19–25 years old, 26–30 years old and 31 and older, respectively, which must be taken into account when taking measures to prevent overtraining and sudden cardiac death in sports.

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Contribution of electrocardiography to the diagnosis of cardiomyopathies and athletic heart syndrome

Abstract: The review describes the role of electrocardiography in the diagnosis of the most common nonischemic myocardial diseases associated with an increased risk of sudden cardiac death, especially in youth sports.

Cited by 2 publications

References 45 publications

Predictive factors of cardiovascular changes depending on the type and intensity of physical activity in professional athletes

Predictive factors of cardiovascular changes depending on the type and intensity of physical activity in professional athletes

Left ventricular myocardial remodeling in playing sports athletes

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