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Hypertrophic cardiomyopathy: electrical abnormalities detected by the extended-length ECG and their relation to

Giuseppe Barletta1, Chiara Lazzeri, Franco Franchi

  • 1Cardiovascular Medicine, Careggi Hospital, Internal Medicine and Cardiology, University of Florence, Florence, Italy. g.barletta@dac.unifi.it

International Journal of Cardiology
|September 1, 2004
PubMed

Insights

Multiparametric ECG analysis reveals repolarization abnormalities in hypertrophic cardiomyopathy (HCM) patients. This approach accurately predicts syncope by evaluating T wave complexity, QRS duration, and late QRS potentials.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Medical Diagnostics

Background:

  • Ventricular repolarization abnormalities are critical triggers for lethal arrhythmias in hypertrophic cardiomyopathy (HCM).
  • Identifying these abnormalities is crucial for risk stratification in HCM patients.
  • Early detection can potentially prevent life-threatening cardiac events.

Purpose of the Study:

  • To determine if multiparametric computerized surface ECG analysis can identify repolarization abnormalities in HCM.
  • To assess if this ECG analysis approach can identify HCM patients experiencing syncope.
  • To correlate ECG parameters with clinical characteristics and outcomes in HCM.

Main Methods:

  • Analysis of 8-lead ECG recordings (5-min duration) from 28 HCM patients and 102 healthy controls.
  • Utilized advanced digital ECG analysis to measure parameters including QTc, T wave complexity index (TWCc), QT dispersion, activation-recovery interval (ARI) and its dispersion, and late QRS potentials (LAS(25 Hz)).
  • Employed Wilks' stepwise discriminant analysis to identify significant predictors of syncope.

Main Results:

  • HCM patients showed significantly prolonged QRS duration, QTc, QTd, and higher TWCc compared to controls.
  • Activation-recovery interval dispersion (ARId) was reduced in HCM patients, influenced by regional ARI changes.
  • TWCc, QRS duration (QRSd), and LAS(25 Hz) were significant independent predictors of syncope, achieving 92.3% positive predictive accuracy.

Conclusions:

  • Prolonged QRS and QT intervals in HCM are linked to increased left ventricular mass.
  • ARI appears to reflect myocardial activation rather than recovery inhomogeneity.
  • Combined analysis of TWCc, QRSd, and LAS(25 Hz) demonstrates high accuracy in predicting cardiogenic syncope in HCM patients.
Abstract

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