Association between circadian Holter ECG changes and sudden cardiac death in patients with Chagas heart disease

Alex Chaves Alberto1,2, Roberto Coury Pedrosa3, Vicente Zarzoso4

  • 1Programa de Engenharia Biomédica, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.

Physiological Measurement
|January 23, 2020
PubMed

Insights

Heart rate variability (HRV) and heart rate turbulence (HRT) can predict sudden cardiac death (SCD) in Chagas heart disease (ChHD). Circadian changes in HRV are significantly associated with SCD risk in these patients.

Area of Science:

  • Cardiology
  • Parasitology
  • Biomedical Engineering

Background:

  • Chagas disease (ChD) is a South American parasitic illness causing progressive heart damage.
  • Sudden cardiac death (SCD) is a frequent complication of Chagas heart disease (ChHD), often linked to ectopic cardiac beats.

Purpose of the Study:

  • To investigate the association between heart rate variability (HRV) and heart rate turbulence (HRT) with SCD in ChHD patients.
  • To analyze Holter electrocardiogram (ECG) records using advanced HRV and HRT techniques.

Main Methods:

  • Retrospective analysis of Holter ECG records from 78 ChHD outpatients (20 SCD deaths, 56 alive).
  • Analysis of HRV and HRT parameters across entire 24-hour, 12-hour daylight, and 12-hour night periods.
  • Machine learning classification (k-nearest neighbors) with cross-validation to predict SCD using extracted HRV/HRT variables and LVEF.

Main Results:

  • A 24-hour HRV model predicted SCD with 89.9% accuracy using three HRV variables.
  • 12-hour HRV analysis, specifically SDNNday and SDNNnight, improved SCD prediction accuracy to 91.0%.
  • Left ventricular ejection fraction (LVEF) did not show a significant association with SCD in this cohort.

Conclusions:

  • The degree of heart rate variability and its circadian variations are significantly associated with sudden cardiac death in Chagas heart disease.
  • HRV and HRT analysis of Holter ECGs offer a promising non-invasive tool for risk stratification in ChHD patients.
Abstract

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