T-wave alternans predicts mortality in a population undergoing a clinically indicated exercise test

Eur Heart J. 2007 Oct;28(19):2332-7. doi: 10.1093/eurheartj/ehm271. Epub 2007 Jul 25.

Abstract

Aims: As a part of the Finnish Cardiovascular Study, we tested the hypothesis that T-wave alternans (TWA) predicts mortality in a general population of patients referred for a clinical exercise test.

Methods and results: A total of 1037 consecutive patients (mean age+/-SD of 58+/-13 years, 673 men and 364 women) with a clinically indicated exercise test and with technically successful electrocardiographic (ECG) data during a bicycle ergometer test were included in the study. Digital ECGs were recorded and TWA was analysed continuously with the time-domain modified moving average method. The maximum TWA value at heart rate (HR)<125 b.p.m. was derived and its capacity to stratify risk for all-cause death, cardiovascular death, and sudden cardiac death (SCD) was tested. During a follow-up of 44+/-7 months (mean+/-SD), 59 patients died; 34 were due to cardiovascular causes and 20 were due to SCD. In multivariate analysis after adjustment for age, sex, use of beta-blockers, functional class, maximal HR during exercise, previous myocardial infarction, and other common coronary risk factors, the relative risk of TWA>or=65 microV for SCD was 7.4 (95% CI, 2.8-19.4; P<0.001), for cardiovascular mortality 6.0 (95% CI, 2.8-12.8; P<0.001), and for all-cause mortality 3.3 (95% CI, 1.8-6.3; P=0.001).

Conclusion: Time-domain TWA analysis powerfully predicts mortality in a general population undergoing a clinical exercise test.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Arrhythmias, Cardiac / diagnosis
  • Arrhythmias, Cardiac / mortality*
  • Cardiovascular Diseases / mortality
  • Cardiovascular Diseases / prevention & control
  • Cohort Studies
  • Death, Sudden, Cardiac / prevention & control
  • Electrocardiography*
  • Exercise Test / methods
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Predictive Value of Tests
  • Prognosis
  • Risk Factors