T axis as an indicator of risk of cardiac events in elderly people

Lancet. 1998 Aug 22;352(9128):601-5. doi: 10.1016/S0140-6736(97)10190-8.

Abstract

Background: The T axis was postulated to be a general marker of repolarisation abnormality, indicative of subclinical myocardial damage. The aim of this investigation was to assess the prognostic importance of the T axis for fatal and non-fatal cardiac events, in a prospective cohort study of men and women aged 55 years and older.

Methods: 2352 men and 3429 women from the population-based Rotterdam Study took part in the study. Electrocardiograms were done, and T axes were categorised as normal, borderline, or abnormal. Data were analysed with Cox's proportional-hazards models; adjustment for age and sex was done where appropriate.

Findings: During 3-6 (mean 4) years of follow-up of the 5781 participants, 165 (2.9%) fatal and 192 (3.3%) non-fatal cardiac events occurred. Participants with an abnormal T axis (n=609) had an increased risk of cardiac death (hazard ratio 3.9 [95% CI 2.8-5.6]), sudden cardiac death (4.4 [2.6-7.4]), non-fatal cardiac events (2.7 [1.9-3.9]), and combined fatal or non-fatal cardiac events (3.2 [2.5-4.1]); p<0.001 for each. Additional adjustment for established cardiovascular risk factors resulted in lower, but still significant risk for all endpoints. The risk associated with an abnormal T axis was higher than those for any other cardiovascular risk factor. Additional subgroup analyses indicated that the risk of cardiac death was not substantially modified by age, sex, or history of myocardial infarction.

Interpretation: The T axis is a strong and independent risk indicator of fatal and non-fatal cardiac events in the elderly.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Cohort Studies
  • Death, Sudden, Cardiac / epidemiology*
  • Electrocardiography*
  • Female
  • Follow-Up Studies
  • Heart Arrest / epidemiology*
  • Humans
  • Male
  • Myocardial Infarction / epidemiology*
  • Prognosis
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Factors