The abstract is read at the publisher; the summary is JClub's.
In a retrospective cohort of chronic heart failure patients (n=1.180), OUES absolute and percent-predicted values predicted all-cause mortality similarly, with AUCs of 0.71–0.72 in males and 0.60–0.63 in females.
- Why it matters: It is unclear whether using absolute OUES or percent-predicted OUES better captures mortality risk in chronic heart failure, given multiple prediction equations.
- What they did: The study analyzed maximal CPX data from July 2013 to July 2023 and compared Hollenberg, Buys, and Milani percent-predicted approaches using ROC curves and Cox proportional hazards models.
- The result: Sex-specific OUES cut-offs were identified for mortality prediction, and all OUES metrics remained independent predictors in multivariate models adjusted for sex and age.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.