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Low skeletal muscle mass is associated with low aerobic capacity and increased mortality risk in patients with coronary heart disease – a CARE CR study

BACKGROUND: In patients with chronic heart failure, there is a positive linear relationship between skeletal muscle mass (SMM) and peak oxygen consumption ([Formula: see text] O(2peak)); an independent predictor of all‐cause mortality(.) We investigated the association between SMM and [Formula: see...

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Detalles Bibliográficos
Autores principales: Nichols, Simon, O'Doherty, Alasdair F., Taylor, Claire, Clark, Andrew L., Carroll, Sean, Ingle, Lee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379590/
https://www.ncbi.nlm.nih.gov/pubmed/30168241
http://dx.doi.org/10.1111/cpf.12539
Descripción
Sumario:BACKGROUND: In patients with chronic heart failure, there is a positive linear relationship between skeletal muscle mass (SMM) and peak oxygen consumption ([Formula: see text] O(2peak)); an independent predictor of all‐cause mortality(.) We investigated the association between SMM and [Formula: see text] O(2peak) in patients with coronary heart disease (CHD) without a diagnosis of heart failure. METHODS: Male patients with CHD underwent maximal cardiopulmonary exercise testing and dual X‐ray absorptiometry assessment. [Formula: see text] O(2peak,) the ventilatory anaerobic threshold and peak oxygen pulse were calculated. SMM was expressed as appendicular lean mass (lean mass in both arms and legs) and reported as skeletal muscle index (SMI; kg m(−2)), and as a proportion of total body mass (appendicular skeletal mass [ASM%]). Low SMM was defined as a SMI <7·26 kg m(−2), or ASM% <25·72%. Five‐year all‐cause mortality risk was calculated using the Calibre 5‐year all‐cause mortality risk score. RESULTS: Sixty patients were assessed. Thirteen (21·7%) had low SMM. SMI and ASM% correlated positively with [Formula: see text] O(2peak) (r = 0·431 and 0·473, respectively; P<0·001 for both). SMI and ASM% predicted 16·3% and 12·9% of the variance in [Formula: see text] O(2peak), respectively. SMI correlated most closely with peak oxygen pulse (r = 0·58; P<0·001). SMI predicted 40·3% of peak [Formula: see text] O(2)/HR variance. ASM% was inversely associated with 5‐year all‐cause mortality risk (r = −0·365; P = 0·006). CONCLUSION: Skeletal muscle mass was positively correlated with [Formula: see text] O(2peak) in patients with CHD. Peak oxygen pulse had the strongest association with SMM. Low ASM% was associated with a higher risk of all‐cause mortality. The effects of exercise and nutritional strategies aimed at improving SMM and function in CHD patients should be investigated.