OBJECTIVES: We sought to assess whether skeletal muscle mass might be a predictor of peak oxygen consumption (Vo2) and relation of the ventilation to carbon dioxide production (VE/VCo2) slope in patients with chronic heart failure (CHF) independent of clinical conditions, neurohormonal activation and resting hemodynamics. BACKGROUND: A variety of abnormalities characterize skeletal muscle and contribute to exercise intolerance in patients with CHF. Skeletal muscle mass is a determinant of peak Vo2 both in healthy patients and in patients with CHF, but there are no reports on the independent predictive value of this parameter, which can be measured with great accuracy by whole-body dual energy X-ray absorptiometry (DEXA). The influence of skeletal muscle mass on VE/VCo2 slope is not known either. METHODS: We prospectively evaluated 120 consecutive noncachectic patients with CHF. Every patient underwent a cardiopulmonary exercise test, an echo-Doppler examination and an evaluation of neurohormonal activation and body composition as assessed by DEXA. RESULTS: At the univariate analysis, New York Heart Association (NYHA) class (p < 0.0001), age (p < 0.0001), male gender (p < 0.0001) and plasma renin (p < 0.0001) significantly related with peak Vo2. There was a significant correlation between lean mass and absolute peak Vo2 (r = 0.70, p < 0.0001) and VE/VCo2 slope (r = -0.27; p < 0.01). At the multivariate analysis, lean mass predicted peak Vo2 and VE/VCo2 slope independently of NYHA functional class, age, gender, neurohormonal activation and resting hemodynamics. CONCLUSIONS: Skeletal muscle mass is an independent predictor of peak Vo2 and VE/VCo2 slope in stable noncachectic patients with CHF. Future studies will determine whether an increase in skeletal muscle mass in the individual patient might result in an improvement in parameters of exercise capacity.
OBJECTIVES: We sought to assess whether skeletal muscle mass might be a predictor of peak oxygen consumption (Vo2) and relation of the ventilation to carbon dioxide production (VE/VCo2) slope in patients with chronic heart failure (CHF) independent of clinical conditions, neurohormonal activation and resting hemodynamics. BACKGROUND: A variety of abnormalities characterize skeletal muscle and contribute to exercise intolerance in patients with CHF. Skeletal muscle mass is a determinant of peak Vo2 both in healthy patients and in patients with CHF, but there are no reports on the independent predictive value of this parameter, which can be measured with great accuracy by whole-body dual energy X-ray absorptiometry (DEXA). The influence of skeletal muscle mass on VE/VCo2 slope is not known either. METHODS: We prospectively evaluated 120 consecutive noncachectic patients with CHF. Every patient underwent a cardiopulmonary exercise test, an echo-Doppler examination and an evaluation of neurohormonal activation and body composition as assessed by DEXA. RESULTS: At the univariate analysis, New York Heart Association (NYHA) class (p < 0.0001), age (p < 0.0001), male gender (p < 0.0001) and plasma renin (p < 0.0001) significantly related with peak Vo2. There was a significant correlation between lean mass and absolute peak Vo2 (r = 0.70, p < 0.0001) and VE/VCo2 slope (r = -0.27; p < 0.01). At the multivariate analysis, lean mass predicted peak Vo2 and VE/VCo2 slope independently of NYHA functional class, age, gender, neurohormonal activation and resting hemodynamics. CONCLUSIONS: Skeletal muscle mass is an independent predictor of peak Vo2 and VE/VCo2 slope in stable noncachectic patients with CHF. Future studies will determine whether an increase in skeletal muscle mass in the individual patient might result in an improvement in parameters of exercise capacity.
Authors: Carlos E Negrao; Holly R Middlekauff; Igor L Gomes-Santos; Ligia M Antunes-Correa Journal: Am J Physiol Heart Circ Physiol Date: 2015-02-13 Impact factor: 4.733
Authors: Manda L Keller-Ross; Bruce D Johnson; Rickey E Carter; Michael J Joyner; John H Eisenach; Timothy B Curry; Thomas P Olson Journal: Int J Cardiol Date: 2015-08-29 Impact factor: 4.164
Authors: Mark J Haykowsky; Peter H Brubaker; Timothy M Morgan; Stephen Kritchevsky; Joel Eggebeen; Dalane W Kitzman Journal: J Gerontol A Biol Sci Med Sci Date: 2013-03-22 Impact factor: 6.053
Authors: Stewart H Lecker; Alexandra Zavin; Peirang Cao; Ross Arena; Kelly Allsup; Karla M Daniels; Jacob Joseph; P Christian Schulze; Daniel E Forman Journal: Circ Heart Fail Date: 2012-09-20 Impact factor: 8.790