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June 20, 2026Journal of the American College of Cardiology723 citations

A standardized definition of ischemic cardiomyopathy for use in clinical research

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GFG. Michael FelkerLSLinda K. ShawCOChristopher M. O'Connor

Key Result

Angiographically diagnosed ischemic heart failure and more extensive coronary artery disease were independently associated with shorter survival compared to nonischemic heart failure.

Key Points

  • To evaluate the relationship between coronary artery disease and survival in heart failure patients while establishing a standardized definition of ischemic cardiomyopathy.
  • Analyzed clinical history and coronary anatomy of 1,921 heart failure patients with ejection fraction ≤ 40% from 1986 to 1999.
  • Tested five classification schemes to determine the best method for defining the extent of coronary artery disease.
  • Developed a definition of ischemic cardiomyopathy with prognostic power based on classification of disease severity.
  • Extended coronary artery disease is significantly correlated with shorter survival rates in heart failure patients.
  • A modified classification method categorizing patients with single-vessel disease as nonischemic showed superior prognostic accuracy.
  • Standardization of ischemic cardiomyopathy will enhance the consistency and quality of clinical research outcomes in heart failure.

Study Design

Type

Cohort (n=1,921)

PICO

P
Population
1,921 patients with symptomatic heart failure and ejection fraction ≤40% undergoing diagnostic coronary angiography between 1986 and 1999.
E
Exposure / Comparator
Ischemic etiology of heart failure / Extent of coronary artery disease vs Nonischemic heart failure
O
Primary Outcome
Survival

Abstract

OBJECTIVES: We sought to evaluate the association between the extent of coronary artery disease (CAD) and survival in patients with symptomatic heart failure (HF) and to create the most prognostically powerful clinical definition of ischemic cardiomyopathy. BACKGROUND: An ischemic etiology of HF is known to be a predictor of adverse outcome; however, there is no uniform definition for ischemic cardiomyopathy. METHODS: We assessed the clinical history and coronary anatomy of patients with symptomatic HF and ejection fraction < or = 40% undergoing diagnostic coronary angiography between 1986 and 1999 (n = 1,921). Five classification schemes were tested to identify the most prognostically powerful method for defining the extent of CAD and to develop the best definition of ischemic cardiomyopathy for prognostic purposes. RESULTS: A more extensive CAD was independently associated with shorter survival. When the various classification schemes were compared, a modified number-of-diseased-vessels classification, in which patients with single-vessel disease and no prior history of revascularization or myocardial infarction (MI) were classified as nonischemic, provided the most prognostic power. A definition of ischemic cardiomyopathy that incorporated this definition had more prognostic power than the traditional definition. CONCLUSIONS: Angiographically diagnosed ischemic HF is associated with shorter survival than nonischemic HF. A more extensive CAD is independently associated with shorter survival, and patients with single-vessel disease and no history of MI or revascularization should be classified as nonischemic for prognostic purposes. Standardization of the definition of ischemic cardiomyopathy will be useful in the conduct and interpretation of clinical research in HF.

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Cite This Study

Felker et al. (2002) conducted a cohort in Symptomatic heart failure (n=1,921). Ischemic etiology of heart failure / Extent of coronary artery disease vs. Nonischemic heart failure was evaluated on Survival. Angiographically diagnosed ischemic heart failure and more extensive coronary artery disease were independently associated with shorter survival compared to nonischemic heart failure.

synapsesocial.com/papers/6a3606a8dace31c64cd3496bhttps://doi.org/10.1016/s0735-1097(01)01738-7
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Also Consider

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  5. 5Ischemic left ventricle systolic dysfunction: An evidence-based approach in diagnostic tools and therapeutics2017 · 9 citations