Purpose: To describe the influence of different equations to predict maximum oxygen uptake (MVO2) on the percent predicted MVO2 (ppMVO2) and the resultant categorization of patients with heart failure with reduced ejection fraction (HFrEF) into high or low risk.
Methods: In this retrospective cohort study, ppMVO2 was calculated using six different equations to predict MVO2 among 1,168 patients with HFrEF (33% women). Repeated measures analysis of variance was used to compare within-subject differences in mean ppMVO2 between the prediction equations. Cochrane's Q test was used to compare the within-subject difference in the proportion of patients with ppMVO2 <50% (high risk) and >=75% (low risk) between the five prediction equations.
Results: The ppMVO2 varied significantly (P<.001) between the MVO2 prediction equations with mean (10th, 90th percentile) ppMVO2 ranging from 39% (25%, 54%) to 60% (39%, 83%) in men and 37% (24%, 49%) to 70% (47%, 94%) in women. Significant variation (P<.001) was also observed between prediction equations for the proportion of patients with ppMVO2 <50% and >=75% in men and women.
Conclusions: Statistically significant and clinically meaningful variations in the ppMVO2 are observed based on the reference equation used to predict MVO2. Future writing committees should specify the preferred reference equation when identifying a ppMVO2 criterion in guideline statements.
(C) 2017 American College of Sports Medicine