Prognostic value of average T-wave alternans and QT variability for cardiac events in MADIT-II patients

J Electrocardiol. 2013 Nov-Dec;46(6):480-6. doi: 10.1016/j.jelectrocard.2013.08.004. Epub 2013 Sep 9.

Abstract

Background: Identifying which patients might benefit the most from ICD therapy remains challenging. We hypothesize that increased T-wave alternans (TWA) and QT variability (QTV) provide complementary information for predicting appropriate ICD therapy in patients with previous myocardial infarction and reduced ejection fraction.

Methods: We analyzed 10-min resting ECGs from MADIT-II patients with baseline heart rate >80 beats/min. TWA indices IAA and IAA90 were computed with the multilead Laplacian Likelihood ratio method. QTV indices QTVN and QTVI were measured using a standard approach. Cox proportional hazard models were adjusted considering appropriate ICD therapy and sudden cardiac death (SCD) as endpoints.

Results: TWA and QTV were measured in 175 patients. Neither QTV nor TWA predicted SCD. Appropriate ICD therapy was predicted by combining IAA90 and QTVN after adjusting for relevant correlates.

Conclusion: Increased TWA and QTV are independent predictors of appropriate ICD therapy in MADIT-II patients with elevated heart rate at baseline.

Keywords: Holter ECG; ICD therapy; MADIT-II; Sudden cardiac death; T-wave alternans.

Publication types

  • Controlled Clinical Trial
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Death, Sudden, Cardiac / epidemiology*
  • Death, Sudden, Cardiac / prevention & control*
  • Defibrillators, Implantable / statistics & numerical data*
  • Diagnosis, Computer-Assisted / methods*
  • Diagnosis, Computer-Assisted / statistics & numerical data
  • Electrocardiography, Ambulatory / methods*
  • Electrocardiography, Ambulatory / statistics & numerical data
  • Female
  • Humans
  • Male
  • Middle Aged
  • Myocardial Infarction / rehabilitation
  • Outcome Assessment, Health Care / methods*
  • Outcome Assessment, Health Care / statistics & numerical data
  • Patient Selection
  • Prevalence
  • Prognosis
  • Reproducibility of Results
  • Risk Factors
  • Sensitivity and Specificity
  • Survival Analysis
  • Survival Rate
  • Treatment Outcome