Multivariable analysis of heart rate recovery after cycle ergometry in heart failure: exercise in heart failure |
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Authors: | Jehn Melissa Halle Martin Schuster Tibor Hanssen Henner Koehler Friedrich Schmidt-Trucksäss Arno |
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Affiliation: | a Department of Sports Medicine, Institute of Exercise and Health Sciences, University of Basel, Basel, Switzerland b Department of Prevention, Rehabilitation and Sports Medicine, Technical University of Munich, Germany c Institute for Medical Statistics und Epidemiology, Klinikum rechts der Isar, Technical University of Munich, Germany d Department of Cardiology and Angiology, Charité University Berlin, Campus Mitte, Berlin, Germany |
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Abstract: |
PurposeThe purpose of this study was to investigate the association between impairment in heart rate recovery (HRrec) after cycle ergometry and prognostic markers in patients with heart failure (HF) compared with healthy controls.MethodsFifty patients with chronic HF (systolic HF, N = 30; diastolic HF, N = 20; mean age = 62 ± 12 years) and 50 healthy controls (N = 50; mean age = 66 ± 13 years) underwent 2-dimensional and M-mode echocardiography followed by cardiopulmonary exercise testing. Independent predictors of HRrec at 1 and 2 minutes after exercise were analyzed by univariable and multivariable regression analyses, and receiver operating characteristics were performed to obtain area under the curve.ResultsIn HF, left ventricular end-diastolic diameter (millimeters), left ventricular ejection fraction (%), N-terminal pro-brain natriuretic peptide (picograms/milliliter), peak oxygen uptake (VO2peak [milliliters/kilogram/min]), and peak heart rate (HRpeak) showed a significant association with HRrec (beats/min) in univariate regression analyses (P < .001), but only VO2peak remained independently predictive of both HRrec1 (P = .034) and HRrec2 (P = .008) in the multivariable regression analyses. In controls, VO2peak (P = .035) and HRpeak (P = .032) were significantly associated with HRrec2 in univariate analyses only. Optimal cutoff values for discriminating HF versus non-HF based on HRrec were 17.5 beats/min (sensitivity 92%; specificity 74%) for HRrec1 and 31.5 beats/min (sensitivity 94%; specificity 86%) for HRrec2. Optimal cutoff values for discriminating systolic HF versus diastolic HF were 12.5 beats/min (sensitivity 78%; specificity 80%) for HRrec1 and 24.5 beats/min (sensitivity 82%; specificity 90%) for HRrec2.ConclusionImpairment in after exercise HRrec is significantly and independently associated with VO2peak in HF and thus might constitute a useful tool for assessing the degree of functional status during exercise rehabilitation. |
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Keywords: | Exercise capacity Exercise monitoring Exercise rehabilitation Heart failure |
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