In Hypertrophic Cardiomyopathy, the Spatial Peaks QRS-T Angle Identifies Those With Sustained Ventricular Arrhythmias

Daniel Cortez1,2, Sharon Graw3, Luisa Mestroni3

  • 1Department of Pediatric Cardiology, Children's Hospital of Colorado/University of Colorado, Aurora, Colorado.

Clinical Cardiology
|May 14, 2016
PubMed

Insights

The spatial peaks QRS-T (SPQRS-T) angle effectively identifies hypertrophic cardiomyopathy patients at risk for ventricular arrhythmias (VAs). This ECG marker is more accurate than corrected QT interval for predicting VAs in HCM patients.

Area of Science:

  • Cardiology
  • Electrocardiography
  • Medical Diagnostics

Background:

  • The spatial peaks QRS-T (SPQRS-T) angle is a novel electrocardiographic measure.
  • This angle has shown potential in differentiating hypertrophic cardiomyopathy (HCM) patients from healthy individuals.
  • An increased SPQRS-T angle has been linked to arrhythmia risk in various cardiac conditions.

Purpose of the Study:

  • To investigate the efficacy of the SPQRS-T angle in identifying HCM patients with sustained ventricular arrhythmias (VAs).
  • To assess the SPQRS-T angle's ability to detect HCM patients with advanced heart failure (New York Heart Association class III/IV).

Main Methods:

  • A cohort of 100 hypertrophic cardiomyopathy patients was analyzed.
  • Electrocardiographic parameters including corrected QT interval, QRS duration, and SPQRS-T angle were measured.
  • Patients were categorized based on the presence or absence of sustained ventricular arrhythmias (>30 seconds).

Main Results:

  • The SPQRS-T angle significantly differentiated HCM patients with VAs from those without (P < 0.001).
  • At a threshold of 124.1 degrees, the SPQRS-T angle demonstrated a positive predictive value of 36.7% and a negative predictive value of 96.1% for VAs.
  • The corrected QT interval also identified VAs (P = 0.018), but with lower predictive values compared to the SPQRS-T angle.

Conclusions:

  • The SPQRS-T angle is a superior marker for differentiating HCM patients who have experienced ventricular arrhythmias.
  • This ECG parameter holds significant potential for risk stratification in hypertrophic cardiomyopathy.
Abstract

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