Rhythmic relationships between cardiac pump and ECG parameters as criteria for effectiveness of adaptive responses of cardiovascular system in acute hypoxia

BACKGROUND: Analysis of cardiovascular system variability in the frequency domain allows for the assessment of both neural and non-neural mechanisms of cardiac regulation. This analysis is challenging due to the multiple input and output mechanisms of cardiovascular and respiratory control. AIM: The work aimed to investigate changes in spectral, phase, and coherence relationships, as well as the transfer function |gain(f)|, between oscillations of left ventricular end-diastolic pressure, specific peripheral vascular resistance, left ventricular stroke volume, and R–R intervals of the electrocardiogram during acute hypoxia at the dominant spectral component corresponding to the respiratory frequency. METHODS: Effective (n = 17) and ineffective (n = 20) types of adaptation were determined based on the direction of changes in the heart pumping parameters during the transition from normoxia to hypoxia. Effective and ineffective types of adaptation were demonstrated in the same subject during different hypoxic tests, just as the same subjects could demonstrate either only effective or only ineffective adaptation. RESULTS: Changes in gain(f) and cross-spectral power density in pairs of oscillatory processes were used to assess alterations in cardiac regulation (Frank–Starling mechanism, arterial–cardiac baroreflex, and others). For effective adaptation during hypoxia, a statistically significant (p 0.05) increase in gain for end-diastolic pressure–stroke volume relationship was observed, whereas spectral power of this parameter did not change, reflecting inability to increase CO through heterometric myogenic autoregulation during hypoxia at rest. Under these conditions, increase in CO occurs mainly due to chronotropic effect. In pairs of oscillatory processes—end-diastolic pressure–specific peripheral resistance or specific peripheral resistance–R–R intervals—cross-spectral power density significantly decreased (p 0.05) during effective adaptation. Reduction in amplitudes of these oscillatory pairs reflects adequate functioning of arterial–cardiac baroreflex in decreasing specific peripheral resistance during effective adaptation. CONCLUSION: Quantitative changes in analyzed indices of cardiac pump function under acute hypoxia are determined by alterations in their rhythmic interactions, both among themselves and with oscillations of R–R intervals at dominant respiratory frequency, as well as by displacement of AQRS (the maximum depolarization vector) in frontal plane. Identified patterns represent effectiveness of adaptation to severe hypoxia.

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Publication Details

Journal
Reviews on Clinical Pharmacology and Drug Therapy
Published
2025-06-28
DOI
https://doi.org/10.17816/rcf643214
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
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article

Rhythmic relationships between cardiac pump and ECG parameters as criteria for effectiveness of adaptive responses of cardiovascular system in acute hypoxia

Radchenko Radchenko
Reviews on Clinical Pharmacology and Drug Therapy
Heart Rate Variability and Autonomic Control
article

Rhythmic relationships between cardiac pump and ECG parameters as criteria for effectiveness of adaptive responses of cardiovascular system in acute hypoxia

Radchenko Radchenko
article en

Abstract

BACKGROUND: Analysis of cardiovascular system variability in the frequency domain allows for the assessment of both neural and non-neural mechanisms of cardiac regulation. This analysis is challenging due to the multiple input and output mechanisms of cardiovascular and respiratory control. AIM: The work aimed to investigate changes in spectral, phase, and coherence relationships, as well as the transfer function |gain(f)|, between oscillations of left ventricular end-diastolic pressure, specific peripheral vascular resistance, left ventricular stroke volume, and R–R intervals of the electrocardiogram during acute hypoxia at the dominant spectral component corresponding to the respiratory frequency. METHODS: Effective (n = 17) and ineffective (n = 20) types of adaptation were determined based on the direction of changes in the heart pumping parameters during the transition from normoxia to hypoxia. Effective and ineffective types of adaptation were demonstrated in the same subject during different hypoxic tests, just as the same subjects could demonstrate either only effective or only ineffective adaptation. RESULTS: Changes in gain(f) and cross-spectral power density in pairs of oscillatory processes were used to assess alterations in cardiac regulation (Frank–Starling mechanism, arterial–cardiac baroreflex, and others). For effective adaptation during hypoxia, a statistically significant (p 0.05) increase in gain for end-diastolic pressure–stroke volume relationship was observed, whereas spectral power of this parameter did not change, reflecting inability to increase CO through heterometric myogenic autoregulation during hypoxia at rest. Under these conditions, increase in CO occurs mainly due to chronotropic effect. In pairs of oscillatory processes—end-diastolic pressure–specific peripheral resistance or specific peripheral resistance–R–R intervals—cross-spectral power density significantly decreased (p 0.05) during effective adaptation. Reduction in amplitudes of these oscillatory pairs reflects adequate functioning of arterial–cardiac baroreflex in decreasing specific peripheral resistance during effective adaptation. CONCLUSION: Quantitative changes in analyzed indices of cardiac pump function under acute hypoxia are determined by alterations in their rhythmic interactions, both among themselves and with oscillations of R–R intervals at dominant respiratory frequency, as well as by displacement of AQRS (the maximum depolarization vector) in frontal plane. Identified patterns represent effectiveness of adaptation to severe hypoxia.

Reviews on Clinical Pharmacology and Drug TherapyVol. 23(2)
S. M. Kirov Military Medical Academy (RU), Saint Petersburg State Electrotechnical University (RU), Military Institute (RU), Federal State Budget Educational Institution of Higher Education «Lesgaft National State University of Physical Education, Sport and Health, St. Petersburg» (RU), University of the Humanities (MN), Saint-Petersburg Humanitarian University of Trade Unions (RU)
Openalex Percentile: Top 74%
Heart Rate Variability and Autonomic Control
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