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Predicting effects of exercise training in patients with heart failure secondary to ischemic or idiopathic dilated cardiomyopathy.
Am J Cardiol. 2008 Oct 15; 102(8):1073-8.AJ

Abstract

The purpose of this study was to investigate which patient characteristics may predict training effects on maximal and submaximal exercise performance in patients with heart failure. Together with commonly used clinical and performance-related variables, oxygen uptake kinetics during exercise recovery were included as possible predictors. Fifty patients with heart failure (New York Heart Association class II or III) performed a 12-week training program (cycle interval and resistance training). Training effects were expressed as changes in peak oxygen uptake (Vo(2)), Vo(2) at ventilatory threshold (VT), and the time constant of Vo(2) recovery after submaximal exercise (tau-rec). After training, peak Vo(2), Vo(2) at VT, and tau-rec improved significantly, with a wide variety in training responses. Changes in peak Vo(2) were related to changes in VT (r = 0.79, p <0.001), but both changes were not related to changes in tau-rec. Using multivariate regression analyses, post-training changes in peak Vo(2) could be predicted by recovery halftime of peak Vo(2) (T1/2), peak Vo(2) (percentage of predicted), and peak respiratory exchange ratio (R(2) = 36%). Post-training changes in VT could be predicted by T1/2 and VT (predicted) (R(2) = 29%), whereas changes in tau-rec could be predicted only by tau-rec at baseline (R(2) = 34%). In conclusion, oxygen recovery kinetics after maximal and submaximal exercise substantially add to the prediction of training effects in patients with heart failure, presumably because of their relations with, respectively, central and peripheral impairments of exercise capacity. However, the explained variance in training effects is not sufficient to make a definite distinction between training responders and nonresponders.

Authors+Show Affiliations

Department of Cardiology, Máxima Medical Centre, Veldhoven, The Netherlands. h.kemps@wxs.nlNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

18929712

Citation

Kemps, Hareld M., et al. "Predicting Effects of Exercise Training in Patients With Heart Failure Secondary to Ischemic or Idiopathic Dilated Cardiomyopathy." The American Journal of Cardiology, vol. 102, no. 8, 2008, pp. 1073-8.
Kemps HM, Schep G, de Vries WR, et al. Predicting effects of exercise training in patients with heart failure secondary to ischemic or idiopathic dilated cardiomyopathy. Am J Cardiol. 2008;102(8):1073-8.
Kemps, H. M., Schep, G., de Vries, W. R., Schmikli, S. L., Zonderland, M. L., Thijssen, E. J., Wijn, P. F., & Doevendans, P. A. (2008). Predicting effects of exercise training in patients with heart failure secondary to ischemic or idiopathic dilated cardiomyopathy. The American Journal of Cardiology, 102(8), 1073-8. https://doi.org/10.1016/j.amjcard.2008.05.054
Kemps HM, et al. Predicting Effects of Exercise Training in Patients With Heart Failure Secondary to Ischemic or Idiopathic Dilated Cardiomyopathy. Am J Cardiol. 2008 Oct 15;102(8):1073-8. PubMed PMID: 18929712.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Predicting effects of exercise training in patients with heart failure secondary to ischemic or idiopathic dilated cardiomyopathy. AU - Kemps,Hareld M, AU - Schep,Goof, AU - de Vries,Wouter R, AU - Schmikli,Sandor L, AU - Zonderland,Maria L, AU - Thijssen,Eric J M, AU - Wijn,Pieter F F, AU - Doevendans,Pieter A, Y1 - 2008/07/26/ PY - 2008/03/20/received PY - 2008/05/16/revised PY - 2008/05/16/accepted PY - 2008/10/22/pubmed PY - 2008/11/7/medline PY - 2008/10/22/entrez SP - 1073 EP - 8 JF - The American journal of cardiology JO - Am. J. Cardiol. VL - 102 IS - 8 N2 - The purpose of this study was to investigate which patient characteristics may predict training effects on maximal and submaximal exercise performance in patients with heart failure. Together with commonly used clinical and performance-related variables, oxygen uptake kinetics during exercise recovery were included as possible predictors. Fifty patients with heart failure (New York Heart Association class II or III) performed a 12-week training program (cycle interval and resistance training). Training effects were expressed as changes in peak oxygen uptake (Vo(2)), Vo(2) at ventilatory threshold (VT), and the time constant of Vo(2) recovery after submaximal exercise (tau-rec). After training, peak Vo(2), Vo(2) at VT, and tau-rec improved significantly, with a wide variety in training responses. Changes in peak Vo(2) were related to changes in VT (r = 0.79, p <0.001), but both changes were not related to changes in tau-rec. Using multivariate regression analyses, post-training changes in peak Vo(2) could be predicted by recovery halftime of peak Vo(2) (T1/2), peak Vo(2) (percentage of predicted), and peak respiratory exchange ratio (R(2) = 36%). Post-training changes in VT could be predicted by T1/2 and VT (predicted) (R(2) = 29%), whereas changes in tau-rec could be predicted only by tau-rec at baseline (R(2) = 34%). In conclusion, oxygen recovery kinetics after maximal and submaximal exercise substantially add to the prediction of training effects in patients with heart failure, presumably because of their relations with, respectively, central and peripheral impairments of exercise capacity. However, the explained variance in training effects is not sufficient to make a definite distinction between training responders and nonresponders. SN - 1879-1913 UR - https://www.unboundmedicine.com/medline/citation/18929712/Predicting_effects_of_exercise_training_in_patients_with_heart_failure_secondary_to_ischemic_or_idiopathic_dilated_cardiomyopathy_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0002-9149(08)01019-9 DB - PRIME DP - Unbound Medicine ER -