Email this article Evaluation of heart rhythm variability in diagnosis of vegetative dysfunction in chronic cerebral ischemia
- Authors: Poverennova I.E.1, Zakharov A.V.1, Vasemazova E.N.1, Khivintseva E.V.1, Novikova N.P.1
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Affiliations:
- Samara State Medical University
- Issue: Vol 4, No 4 (2019)
- Pages: 25-28
- Section: Diseases of the nervous system
- URL: https://bakhtiniada.ru/2500-1388/article/view/43755
- DOI: https://doi.org/10.35693/2500-1388-2019-4-4-25-28
- ID: 43755
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Abstract
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.
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##article.viewOnOriginalSite##About the authors
Irina E. Poverennova
Samara State Medical University
Email: zakharov1977@mail.ru
ORCID iD: 0000-0002-2594-461X
PhD, Professor, Head of the Department of neurology and neurosurgery
Russian Federation, SamaraAleksandr V. Zakharov
Samara State Medical University
Author for correspondence.
Email: zakharov1977@mail.ru
ORCID iD: 0000-0003-1709-6195
PhD, Associate Professor, Department of neurology and neurosurgery
Russian Federation, SamaraEkaterina N. Vasemazova
Samara State Medical University
Email: zakharov1977@mail.ru
ORCID iD: 0000-0002-4501-9077
part-time postgraduate student of the Department of neurology and neurosurgery
Russian Federation, SamaraElena V. Khivintseva
Samara State Medical University
Email: zakharov1977@mail.ru
ORCID iD: 0000-0002-1878-7951
PhD, Associate Professor, Department of neurology and neurosurgery
Russian Federation, SamaraNina P. Novikova
Samara State Medical University
Email: zakharov1977@mail.ru
ORCID iD: 0000-0003-4948-5945
PhD, Professor, Department of neurology and neurosurgery
Russian Federation, SamaraReferences
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