| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 2958716 | Journal of Cardiac Failure | 2015 | 9 Pages |
•Many cardiopulmonary exercise test variables are strong predictors of prognosis.•Percent of predicted maximum V˙O2 and VE-VCO2 slope were consistently among the strongest predictors of prognosis.•Renewed attention should be given to percent of predicted maximum V˙O2 as an strong predictor of prognosis.•Data from tests with low peak RER are useful for risk-stratifying patients.
BackgroundMany studies have shown a strong association between numerous variables from a cardiopulmonary exercise (CPX) test and prognosis in patients with heart failure with reduced ejection fraction (HFrEF). However, few studies have compared the prognostic value of a majority of these variables simultaneously, so controversy remains regarding optimal interpretation.Methods and ResultsThis was a retrospective analysis of patients with HFrEF (n = 1,201; age = 55 ± 13 y; 33% female) and a CPX test from 1997 to 2010. Thirty variables from a CPX test were considered in separate adjusted Cox regression analyses to describe the strength of the relation of each to a composite end point of all-cause mortality, left ventricular assist device implantation, or heart transplantation. During a median follow-up of 3.8 years, there were 577 (48.0%) events. The majority of variables were highly significant (P < .001). Among these, percentage of predicted maximum V˙O2 (ppMV˙O2; Wald = 203; P < .001; C-index = 0.73) was similar to VE-VCO2 slope (Wald = 201; P < .001; C = 0.72) and peak V˙O2 (Wald = 161; P < .001; C = 0.72). In addition, there was no significant interaction observed for peak respiratory exchange ratio <1 vs ≥1.ConclusionsConsistent with prior studies, many CPX test variables were strongly associated with prognosis in patients with HFrEF. The choice of which variable to use is up to the clinician. Renewed attention should be given to ppMV˙O2, which appears to be highly predictive of survival in these patients.
