Prediction of medical morbidity and mortality after acute myocardial infarction in patients at increased psychosocial risk in the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) study.


Journal Article

BACKGROUND: Patients with myocardial infarction (MI) are at further increased risk for untoward events when patients also exhibit low social support and/or depression. The ENRICHD study was the largest controlled trial in post-MI patients attempting to treat these psychological comorbidities and provides an opportunity to examine the medical and psychological characteristics that may affect risk in this population. METHODS: We analyzed the baseline characteristics and their relationship to the primary end point of long-term mortality and recurrent infarction and to the secondary end points of overall mortality and cardiovascular mortality in 2481 post-MI patients. Cox proportional hazards models were used to predict the risk of these outcomes over a mean of 2.5 years of follow-up. RESULTS: Death or nonfatal MI occurred in 24.1%, all-cause mortality in 13.7%, and cardiovascular mortality in 8.4% of the sample (62% of the total). Age, heart failure, pulmonary disease, Killip class, ejection fraction, an elevated creatinine, the use of non-angiotensin-coverting enzyme asodilators, prior MI, diabetes, depression, and bypass surgery after acute MI were all significant multivariable predictors. CONCLUSIONS: The medical predictors of adverse events in post-MI patients with low social support and/or depression were similar to those of patients with MI in other clinical trials.

Full Text

Duke Authors

Cited Authors

  • Jaffe, AS; Krumholz, HM; Catellier, DJ; Freedland, KE; Bittner, V; Blumenthal, JA; Calvin, JE; Norman, J; Sequeira, R; O'Connor, C; Rich, MW; Sheps, D; Wu, C; Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) Trial Investigators,

Published Date

  • July 2006

Published In

Volume / Issue

  • 152 / 1

Start / End Page

  • 126 - 135

PubMed ID

  • 16824842

Pubmed Central ID

  • 16824842

Electronic International Standard Serial Number (EISSN)

  • 1097-6744

Digital Object Identifier (DOI)

  • 10.1016/j.ahj.2005.10.004


  • eng

Conference Location

  • United States