The diagnosis of sarcopenia is mainly driven by muscle mass in hemodialysis patients

肌萎缩 医学 血液透析 肌肉团 内科学 重症监护医学 物理医学与康复 物理疗法
作者
Stanislas Bataille,Marianne Serveaux,E.M. García Carreño,Nathalie Pedinielli,Patrice Darmon,Alain Robert
出处
期刊:Clinical Nutrition [Elsevier BV]
卷期号:36 (6): 1654-1660 被引量:102
标识
DOI:10.1016/j.clnu.2016.10.016
摘要

Sarcopenia is a well-known complication of protein energy wasting in hemodialysis patients. Its diagnosis requires measurements of muscle mass and muscle function. Few studies have reported its prevalence in hemodialysis patients. In this study, we report the prevalence of sarcopenia in this population and evaluate the performance of other parameters for its diagnosis.In this observational cross-sectional study, data from hemodialysis patients from our nephrology department were recorded. Body composition measured by bioimpedancemetry analysis and muscle strength measured by handgrip were recorded. Normal values for sarcopenia were those recommended by the European Working Group on Sarcopenia in Older People (EWGSOP).The median age (interquartile range) of the 111 patients was 77.5 (70.8-84.8) years. A large majority of 88.3% (n = 98) of patients had a low muscle strength; a low muscle mass index was present in 33.3% (n = 37) of the population. Finally, 31.5% (n = 35) of patients had sarcopenia. These latter were older, had longer dialysis vintage, lower BMI, mid-arm circumference and mid-leg circumference, and a lower prealbumin. The best parameter predicting sarcopenia was BMI (ROC curve AUC of 0.79 [0.68-0.91] (p < 0.001) in men and 0.81 [0.68-0.93] (p = 0.003) in women). Mid-arm circumference predicted sarcopenia, but was less accurate than BMI. Mid-leg circumference predicted sarcopenia only in men. Predialysis creatinine or creatinine index could not predict sarcopenia.We report a 31.5% prevalence of sarcopenia in hemodialysis patients. The diagnosis of sarcopenia was mainly driven by muscle mass measurement because muscle strength is low in the large majority of hemodialysis patients.
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