Use of replacement estrogens and the risk of myocardial infarction

Epidemiology. 1990 Mar;1(2):128-33. doi: 10.1097/00001648-199003000-00008.

Abstract

We evaluated the relation between postmenopausal estrogen use and the risk of first-time myocardial infarction using both cohort and nested case-control analyses for data derived from a large health maintenance organization. The study population comprised all women aged 50 to 64 years who were members of the Group Health Cooperative of Puget Sound during the years 1978-1984. In the cohort analysis of 120 cases of first-time myocardial infarction that occurred during 17,513 woman-years at risk among current users and 110,971 woman-years at risk among nonusers of replacement estrogens, the relative incidence of myocardial infarction among current users compared with nonusers, adjusted for age and calendar year, was 0.7 (95% confidence interval 0.4-1.3). This small inverse relation between myocardial infarction and current use of replacement estrogens remained unchanged after adjustment in the case-control study for previous prescription of diuretics and antiarhythmic, antihypertensive, and antidiabetic drugs. These data are consistent with previous observations that estrogen replacement therapy causes a small reduction in the risk of hospitalization for myocardial infarction, and incompatible with any large increase in the risk of myocardial infarction in users of replacement estrogen.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Case-Control Studies
  • Cohort Studies
  • Confidence Intervals
  • Confounding Factors, Epidemiologic
  • Drug Therapy / statistics & numerical data
  • Estrogen Replacement Therapy / statistics & numerical data*
  • Estrogens / administration & dosage
  • Estrogens / therapeutic use
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Menopause*
  • Middle Aged
  • Multivariate Analysis
  • Myocardial Infarction / epidemiology*
  • Ovariectomy / statistics & numerical data
  • Regression Analysis
  • Risk Factors
  • Time Factors
  • Washington / epidemiology

Substances

  • Estrogens