Why the study?
The study aimed to identify optimal CPET threshold values distinguishing disease severity progression and evaluate their prognostic impact on hospitalizations in patients with co-existing systolic HF and COPD.
Can cardiopulmonary exercise testing (CPET) parameters predict disease severity and hospitalizations in patients with co-existing systolic HF and COPD?
Can cardiopulmonary exercise testing (CPET) parameters predict disease severity and hospitalizations in patients with co-existing systolic HF and COPD?
Answers are grounded in this paper and cite their sources.
CPET parameters including OUES, circulatory power, and VE/VCO2 slope can effectively identify worsening disease severity and predict hospitalizations in patients with combined systolic HF and COPD.
Our aim was to identify optimal cardiopulmonary exercise testing (CPET) threshold values that distinguish disease severity progression in patients with co-existing systolic heart failure (HF) and chronic obstructive pulmonary disease (COPD), and to evaluate the impact of the cut-off determined on the prognosis of hospitalizations. We evaluated 40 patients (30 men and 10 woman) with HF and COPD through pulmonary function testing, doppler echocardiography and maximal incremental CPET on a cycle ergometer. Several significant CPET threshold values were identified in detecting a forced expiratory volume in 1 second (FEV 1 ) < 1.6 L: 1) oxygen uptake efficiency slope (OUES) < 1.3; and 2) circulatory power (CP) < 2383 mmHg.mlO 2 .kg −1 . CPET significant threshold values in identifying a left ventricular ejection fraction (LVEF) < 39% were: 1) OUES: < 1.3; 2) CP < 2116 mmHg.mlO 2 .kg −1 .min −1 and minute ventilation/carbon dioxide production ( V̇ E / V̇ CO 2 ) slope>38. The 15 (38%) patients hospitalized during follow-up (8 ± 2 months). In the hospitalizations analysis, LVEF < 39% and FEV 1 < 1.6, OUES < 1.3, CP < 2116 mmHg.mlO 2 .kg −1 .min −1 and V̇ E / V̇ CO 2 > 38 were a strong risk predictor for hospitalization (P ≤ 0.050). The CPET response effectively identified worsening disease severity in patients with a HF-COPD phenotype. LVEF, FEV 1, CP, OUES, and the V̇ E / V̇ CO 2 slope may be particularly useful in the clinical assessment and strong risk predictor for hospitalization.
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Goulart et al. (2020) studied this question.
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