Predictors of recurrent ischemic events and death in unstable coronary artery disease after treatment with combination antithrombotic therapy.

Journal Article (Clinical Trial;Journal Article)

BACKGROUND: Patients with non-Q-wave acute coronary syndromes (ACS) have substantial rates of recurrent ischemic events, but prognostic studies have been small or preceded the routine use of aggressive combination antithrombotic therapy. We sought to identify predictors of these events after antithrombotic treatment of non-Q-wave ACS. METHODS: We assessed 30-day rates of a composite triple end point (death, infarction, or refractory angina) and double end point (death or infarction) among 3171 patients with non-ST-segment elevation ACS randomly assigned to enoxaparin or heparin, plus aspirin, for 2 to 8 days. We created multivariable regression models to predict these end points from baseline factors. RESULTS: Overall, 682 patients (21%) reached the triple end point and 220 (6.8%) reached the double end point. Independent predictors of the triple end point were admission with myocardial necrosis, ST-segment depression, prior angina severity, symptom duration, and allocation to enoxaparin treatment in patients with ST-segment depression (significant interaction). Independent predictors of the double end point were admission with myocardial necrosis, ST-segment depression, enrollment region, age >75 years, prior angina severity, and rales. By deciles, the average predicted risk for the double end point ranged from 2% to 20%: a patient aged <75 years with no risk factors had a 3.5% risk, whereas a patient aged >75 years with 2 additional high-risk features (myonecrosis and ST depression) had a risk of death or reinfarction of 26%. CONCLUSIONS: Patients with non-ST-segment elevation ACS exhibit a broad range of risk of adverse recurrent ischemic events. The predictive power of the model for the triple end point, using baseline variables, was modest. However, a subgroup at very low risk of the double end point (average 2%) can be identified with baseline variables.

Full Text

Duke Authors

Cited Authors

  • Cohen, M; Stinnett, SS; Weatherley, BD; Gurfinkel, EP; Fromell, GJ; Goodman, SG; Fox, KA; Califf, RM

Published Date

  • June 2000

Published In

Volume / Issue

  • 139 / 6

Start / End Page

  • 962 - 970

PubMed ID

  • 10827375

International Standard Serial Number (ISSN)

  • 0002-8703

Digital Object Identifier (DOI)

  • 10.1067/mhj.2000.106915


  • eng

Conference Location

  • United States