Pathological Heart Rate Regulation in Apparently Healthy Individuals

Ludmila Sidorenko1, Irina Sidorenko2, Andrej Gapelyuk3

  • 1Department of Molecular Biology and Human Genetics, State University of Medicine and Pharmacy, "Nicolae Testemitanu", Stefan cel Mare Str. 165, MD-2004 Chisinau, Moldova.

PubMed

Insights

New cardiorhythmogram (CRG) analysis identifies early cardiac regulation issues in healthy individuals. This method detects more at-risk patients than standard heart rate variability (HRV) and shows promise for early, drug-free intervention to prevent cardiovascular disease.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Preventive Medicine

Background:

  • Cardiovascular diseases (CVDs) are a leading global cause of death, with dysfunctional heart rhythm regulation as a common underlying factor.
  • Early identification of cardiovascular risk is crucial for developing effective preventive strategies.
  • Heart rate variability (HRV) analysis is a standard tool, but novel methods may offer improved sensitivity.

Purpose of the Study:

  • To determine if specific pathological signs in heart rate variability (HRV), detectable by the cardiorhythmogram (CRG) method, can serve as early biomarkers for disturbed cardiac regulation in apparently healthy individuals.
  • To investigate if these identified signs can be effectively treated using a drug-free method to prevent progression to cardiac pathology.

Main Methods:

  • A multi-phase study involving 218 healthy subjects presenting with various non-cardiac complaints.
  • Application of standard HRV analysis and a novel CRG method (based on LF drops and HF counter-regulation) in Phase A to identify cardiovascular risks.
  • Phase B assessed the clinical impact of drug-free treatment on CRG-identified pathological signs, validated by non-linear HRV analysis.

Main Results:

  • The CRG method detected pathological cardiac regulation signs in 60% of subjects, significantly more than standard HRV analysis (18%).
  • Drug-free treatment led to an eight-fold reduction in the identified risk group, from 130 to 16 individuals.
  • A non-linear parameter (FWRENYI4) quantified significant changes in CRGs post-treatment, indicating successful intervention.

Conclusions:

  • The CRG analysis serves as a sensitive biomarker for early detection of pathological cardiac regulation in apparently healthy individuals.
  • Non-drug treatments, such as acupuncture, can effectively influence these early signs, potentially preventing the progression to structural cardiac pathologies or arrhythmias.
  • This method offers a valuable, easy-to-use tool for primary cardiovascular prevention.

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