Heart rate variability analysis at coronary artery disease and angina pectoris

Tatyana Mironova1, Vladimir Mironov, Vladimir Antufiev

  • 1Chelyabinsk State Medical Academy, Chelyabinsk 454091, Russia. micor_mail@mail.ru

Insights

High-resolution heart rate variability (HRV) analysis reveals autonomic and humoral disregulation in coronary artery disease (CAD) and angina pectoris (AP). This method aids in diagnosing, managing, and predicting outcomes for patients with these conditions.

Area of Science:

  • Cardiology
  • Medical Technology
  • Physiology

Background:

  • Coronary artery disease (CAD) and angina pectoris (AP) significantly impact patient health.
  • Standard cardiological methods may not fully capture the complexities of these conditions.
  • Understanding autonomic and humoral influences on cardiac function is crucial for effective management.

Purpose of the Study:

  • To present findings from special examinations and prospective observations of CAD and AP patients.
  • To evaluate autonomic and humoral-metabolic influences on heart sinus node activity.
  • To explore the diagnostic and prognostic value of high-resolution heart rate variability (HRV) analysis.

Main Methods:

  • Utilized high-resolution rhythmocardiography and a specialized apparatus-program complex.
  • Registered and analyzed heart rate variability (HRV) in 273 patients with CAD and AP.
  • Employed inclusion-exclusion criteria for patient selection.

Main Results:

  • High-resolution HRV analysis identified autonomic and humoral disregulation associated with ischemic heart disease.
  • Angina pectoris episodes correlated with HRV stabilization during ischemic events.
  • HRV patterns allowed for characterization of AP, prediction of complications (e.g., acute coronary syndrome), risk assessment, and evaluation of drug efficacy (e.g., nitroglycerin).

Conclusions:

  • High-resolution HRV analysis is an informative and promising method for diagnosing and managing CAD and AP.
  • Prospective observations using HRV analysis helped establish an "ischemic cascade" in HRV symptoms.
  • This technique offers potential for personalized risk stratification and treatment monitoring in cardiovascular disease.

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