Evaluation of heart rhythm variability in diagnosis of vegetative dysfunction in chronic cerebral ischemia
Objectives - the assessment of the possibilities of using heart rhythm variability in the diagnosis of vegetative dysfunction in chronic brain ischemia (CBI).
Material and methods. Сardiointervalography was performed for 157 patients with varying intensity of CBI at rest and while performing functional tests. The resulting statistical and spectral parameters were estimated on the basis of multiple regression analysis depending on the severity of the CBI. The parameters, obtained as a result of spectral analysis of cardiointervalography, were used as the predictor data: low, high frequency end and their integrative indicators.
Results. With an increase in the severity of CBI, there is a clear tendency towards an increase in heart rate variability with a predominance of autonomous regulation, against the background of its expressed decentralization during physical exercise. The obtained model describes the changes in cardiointervalography that occur with the progression of CBI. These changes can act as independent factors aggravating the course of concomitant cardiovascular pathology, or can serve as its trigger factors.
Conclusion. The obtained data may indicate a decrease in the adaptive effects of suprasegmental structures of the autonomic nervous system on the cardiac cycle. Various methods of analysis of cardiointervalography make it possible to conduct a multilevel analysis of the heart rhythm, to identify not only the obvious pathology of the regulation of cardiac activity, but also the violation of its adaptive mechanisms.
Conflict of Interest: nothing to disclose.
1. Putilina MV. Comorbidity in elderly patients. Journal of Neurology and Psychiatry. S.S. Korsakova. 2016;116(5):106–111. (In Russ.). doi: 10.17116 / jnevro201611651106-111
2. Yakupov EZ, Nalbat AV. Indices of autonomic homeostasis as predictors of the individual risk of stroke and their dynamics during treatment with Actovegin. Journal of Neurology and Psychiatry. S.S. Korsakova. 2015;115(10):31–42. (In Russ.). doi:10.17116/jnevro201511510231-42
3. Avrov MV. Quality of life for patients with chronic cerebral ischemia. Journal of Neurology and Psychiatrii S.S. Korsakova. 2017;117(4):56–58. (In Russ.). doi: 10.17116/jnevro20171174156-58
4. Anisimov VN. Aging and age-related illnesses. Clinical Gerontology. 2005;11(1):42–49. (In Russ.).
5. Basantsova NYu, Tibekina LM, Shishkin AN. The role of the autonomic nervous system in the development of cerebral cardiac complications. Journal of Neurology and Psychiatry S.S. Korsakova. 2016;8(3):39–42. (In Russ.). doi: 10.17116/jnevro2017117111153-160
6. Baevsky RM Ivanov GG, Gavrilushkin AP. Analysis of heart rate variability using various electrocardiographic systems (guidelines). Bulletin of arrhythmology. 2002;24:65–86. (In Russ.).
7. Agranovich NV, Anopchenko AS, Knyshova SA. The effect of exercise therapy on the hemodynamic parameters of elderly patients with arterial hypertension. Spa medicine. 2016;4:59-63. (In Russ.).
8. Rakhmatullin AR, Bakhtiyarova KZ, Magzhanov RV. Cardio-intervalography in patients with multiple sclerosis. Neurology, neuropsychiatry, psychosomatics. 2016;8(3):39-42. (In Russ.). doi: 10.14412/2074-2711-2016-3-39-42
Poverennova IE, Zakharov AV, Vasemazova EN, Khivintseva EV, Novikova NP. Evaluation of heart rhythm variability in diagnosis of vegetative dysfunction in chronic cerebral ischemia. Science & Innovations in Medicine. 2019;4(4):25-28. doi: 10.35693/2500-1388-2019-4-4-25-28
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