Predicting long-term mortality in older patients after non-ST-segment elevation myocardial infarction: the CRUSADE long-term mortality model and risk score.

Published

Journal Article

OBJECTIVES: We sought to develop a long-term mortality risk prediction model and a simplified risk score for use in older patients with non-ST-segment elevation myocardial infarction (NSTEMI). BACKGROUND: Limited data are available regarding long-term mortality rates and concomitant risk predictors after acute myocardial infarction in contemporary community practice. METHODS: From the CRUSADE registry, a total of 43,239 (NSTEMI) patients aged ≥65 years treated at 448 hospitals in the United States from 2003 to 2006 were linked to Centers for Medicare and Medicaid Services data to track longitudinal all-cause mortality (median follow-up 453 days). Cox proportional hazard modeling was used to determine baseline independent demographic, clinical, and laboratory variables associated with long-term mortality. A simplified long-term mortality risk score was subsequently developed from these results. RESULTS: The median age of this population was 77 years, and mortality rates at 1, 2, and 3 years were 24.4%, 33.2%, and 40.3%, respectively. We identified 22 variables independently associated with long-term mortality in a full model (c-statistic 0.754 in the derivation sample and 0.744 in the validation sample). The CRUSADE long-term mortality risk score was limited to the 13 most clinically and statistically significant variables from the full model yet retained comparable discrimination in the derivation and validation samples (c-statistics 0.734 and 0.727, respectively) and had good calibration across the risk spectra. CONCLUSIONS: Older patients face substantial long-term mortality risks after NSTEMI that can be accurately predicted from baseline characteristics. These prognostic estimates may support informed treatment decision-making and comparison of long-term provider outcomes.

Full Text

Duke Authors

Cited Authors

  • Roe, MT; Chen, AY; Thomas, L; Wang, TY; Alexander, KP; Hammill, BG; Gibler, WB; Ohman, EM; Peterson, ED

Published Date

  • November 2011

Published In

Volume / Issue

  • 162 / 5

Start / End Page

  • 875 - 883.e1

PubMed ID

  • 22093204

Pubmed Central ID

  • 22093204

Electronic International Standard Serial Number (EISSN)

  • 1097-6744

International Standard Serial Number (ISSN)

  • 0002-8703

Digital Object Identifier (DOI)

  • 10.1016/j.ahj.2011.08.010

Language

  • eng