Clinical Determinants Of Cardiorespiratory Fitness In Patients With Heart Failure Across A Wide Range Of Ejection Fraction.

Impaired cardiorespiratory fitness (CRF) in heart failure (HF) is influenced by a complex array of cardiac and extracardiac factors. The study aimed to identify clinical determinants of CRF measured as peak oxygen consumption (peak VO2) in HF patients, and to determine a peak VO2 prediction model using regression equations. Retrospective analysis of 200 HF patients who completed treadmill cardiopulmonary exercise testing and underwent Doppler echocardiography and/or biomarker analysis on the same day was performed. After univariate linear regression analysis, a multivariate peak VO2 prediction model was developed using significant variables in a stepwise linear regression analysis. In subjects with repeated testing, Pearson's correlation was used to assess correlations between measured and predicted change in peak VO2 (Speak VO2) over time. Mean age was 57 years, with 55% being male. Stepwise linear regression was used to generate a weighted model for peak VO2: 30.895 + (-0.112.age [years]) + (0.296.hemoglobin [g/dl]) + (-0.101.Eklunit change]) + (-0.202.body mass index [kg/m(2)]) + (-0.593. N-terminal pro-brain natriuretic peptide [log(N) pg/ml])) + (-1.349.CRP [log mg/L]). Predicted Delta peak VO2 correlated strongly with measured peak VO2 in HF with reduced ejection fraction and HF with preserved ejection fraction patients (r = +0.63, p <0.001; r = +0.64, p <0.001, respectively). Predicted Speak VO2 correlated with measured speak VO2 (r = +0.23, p <0.001). In conclusion, in patients with HF across a wide range of left ventricular ejection fraction, age, systemic inflammation, oxygen carrying capacity, obesity, and elevated filling pressures are the strongest predictors of impaired CRF. The proposed CRF model allows prediction of peak VO2 in HF patients and may be used to estimate peak VO2 changes over time. (C) 2019 Elsevier Inc. All rights reserved.