Key result
A 12-factor prognostic model, driven by older age, higher NYHA class, and lower eGFR, effectively predicted all-cause mortality in chronic heart failure (concordance probability estimate 0.693).
Why the study?
What are the most powerful predictors of all-cause mortality in patients with chronic heart failure?
Observational (n=6,975)
What are the most powerful predictors of all-cause mortality in patients with chronic heart failure?
Effect estimate: concordance probability estimate 0.693
A 12-factor prognostic model, driven primarily by age, NYHA class, and eGFR, provides good discrimination for predicting all-cause mortality in chronic heart failure patients.
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May simplify mortality prediction in chronic HF with 12 factors; leaves open external validation and clinical utility.
Barlera et al. (2012) conducted an observational in chronic heart failure (n=6,975). 12-factor prognostic model was evaluated on all-cause mortality (concordance probability estimate 0.693). A 12-factor prognostic model, driven by older age, higher NYHA class, and lower eGFR, effectively predicted all-cause mortality in chronic heart failure (concordance probability estimate 0.693).
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