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October 31, 2017European Journal of Preventive Cardiology104 citationsOpen Access

Cardiopulmonary exercise testing as prognostic indicators: Comparisons among heart failure patients with reduced, mid-range and preserved ejection fraction

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TSTakamasa SatoAYAkiomi YoshihisaYKYuki Kanno

Structured PICO

Do cardiopulmonary exercise testing parameters differentially predict prognosis in patients with HFrEF, HFmrEF, and HFpEF?

P
Population
1,190 patients with heart failure, categorized into reduced (HFrEF, 41.9%), preserved (HFpEF, 36.8%), and mid-range (HFmrEF, 21.3%) ejection fraction.
I
Intervention
Cardiopulmonary exercise testing (CPX) parameters (peak oxygen consumption, oxygen uptake efficiency slope, exertional oscillatory ventilation) as prognostic indicators.
C
Comparator
Comparisons among HFrEF, HFmrEF, and HFpEF groups.
O
Outcome
Adverse cardiac events (composite of cardiac deaths and re-hospitalizations for heart failure), cardiac deaths, and all-cause deaths.hard clinical

Different cardiopulmonary exercise testing parameters have distinct prognostic values depending on the heart failure ejection fraction phenotype.

Abstract

Aims We aimed to determine the differences of impact of cardiopulmonary exercise testing (CPX) parameters on prognosis of heart failure with reduced left ventricular ejection fraction (HFrEF), preserved ejection fraction (HFpEF) and mid-range ejection fraction (HFmrEF). Methods We compared clinical characteristics and CPX parameters among the three groups, and the value of each CPX parameter to predict adverse cardiac events (cardiac deaths and re-hospitalizations for heart failure), cardiac deaths and all-cause deaths. Results Of 1190 patients, 41.9% had HFrEF, 36.8% had HFpEF and 21.3% had HFmrEF. The patients in HFrEF group had higher rates of adverse cardiac events, cardiac death and all-cause death than those of HFpEF and HFmrEF groups. In HFrEF, the independent predictors of adverse cardiac events were peak oxygen consumption and oxygen uptake efficiency slope, predictors of cardiac death were peak oxygen consumption and oxygen uptake efficiency slope, and the predictor of all-cause death was peak oxygen consumption. In HFpEF, the predictor of adverse cardiac events was peak oxygen consumption, predictors of cardiac deaths and all-cause deaths were peak oxygen consumption and exertional oscillatory ventilation. In HFmrEF, predictors of adverse cardiac events were peak oxygen consumption and oxygen uptake efficiency slope, and the predictor of cardiac deaths and all-cause deaths was peak oxygen consumption. Conclusion Peak oxygen consumption is the strong predictor for adverse events in all groups. Oxygen uptake efficiency slope predicts adverse prognosis in HFrEF, but not in HFpEF. In contrast, exertional oscillatory ventilation is the predictor only in HFpEF. Thus, different CPX parameters may be able to differentially predict prognosis in HFrEF and HFpEF. Those for predicting prognosis in HFmrEF may be intermediate between HFrEF and HFpEF.

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Cite This Study

Sato et al. (2017) studied this question.

synapsesocial.com/papers/69d56e0f75589c71d767d334https://doi.org/10.1177/2047487317739079
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