A novel risk score demonstrated excellent discriminatory power (c-statistic 0.80) for predicting heart failure in patients with stable coronary artery disease and preserved ejection fraction.
RCT (n=8,290)
What are the predictors of heart failure in patients with stable coronary artery disease and preserved ejection fraction?
A newly developed risk score accurately predicts the development of heart failure in patients with stable coronary artery disease and preserved ejection fraction.
BACKGROUND: Heart failure (HF) is a disease commonly associated with coronary artery disease. Most risk models for HF development have focused on patients with acute myocardial infarction. The Prevention of Events with Angiotensin-Converting Enzyme Inhibition population enabled the development of a risk model to predict HF in patients with stable coronary artery disease and preserved ejection fraction. METHODS AND RESULTS: In the 8290, Prevention of Events with Angiotensin-Converting Enzyme Inhibition patients without preexisting HF, new-onset HF hospitalizations, and fatal HF were assessed over a median follow-up of 4.8 years. Covariates were evaluated and maintained in the Cox regression multivariable model using backward selection if Por=16. CONCLUSIONS: Among patients with stable coronary artery disease and preserved ejection fraction, traditional and newer factors were independently associated with increased risk of HF. Trandolopril decreased the risk of HF in these patients with preserved ejection fraction.
Lewis et al. (Wed,) conducted a rct in Stable coronary artery disease (n=8,290). Trandolapril was evaluated on New-onset heart failure hospitalizations and fatal heart failure. A novel risk score demonstrated excellent discriminatory power (c-statistic 0.80) for predicting heart failure in patients with stable coronary artery disease and preserved ejection fraction.