PDF(Pubmed)
Abstract：
UNASSIGNED: Muscle atrophy affects more than 50% of patients with chronic kidney disease (CKD) and is associated with increased morbidity and mortality. It is crucial to understand the mechanisms involved in the muscle atrophy in CKD and search for specific determinants of skeletal muscle mass loss, especially those which are available in everyday medical practice. This study aimed to evaluate the association between appendicular skeletal muscle mass (ASM) and anthropometric, body composition, nutritional, inflammatory, metabolic, and kidney function variables in non-dialysis-dependent CKD men.
UNASSIGNED: A total of 85 men with CKD and eGFR lower than 60 mL/min/1.73 m2 were included in the cross-sectional study: 24 participants with eGFR 59-45 mL/min/1.73 m2, 32 individuals with eGFR 44-30 mL/min/1.73 m2, and 29 men with eGFR ≤29 mL/min/1.73 m2. ASM was estimated by bioimpedance spectroscopy (BIS) with the use of a Body Composition Monitor (BCM). To evaluate ASM from BCM, Lin\'s algorithm was used. Among anthropometric parameters, height, weight, and body mass index (BMI) were measured. Serum laboratory measurements were grouped into kidney function, nutritional, inflammatory, and metabolic parameters.
UNASSIGNED: ASM was significantly associated with anthropometric and body composition variables. According to the anthropometric parameters, ASM correlated positively with weight, height, and BMI (p < 0.001 and r = 0.913, p < 0.001 and r = 0.560, and p < 0.001 and r = 0.737, respectively). Among body composition variables, ASM correlated significantly and positively with lean tissue mass (LTM) (p < 0.001, r = 0.746), lean tissue index (LTI) (p < 0.001, r = 0.609), fat mass (p < 0.001, r = 0.489), and fat tissue index (FTI) (p < 0.001, r = 0.358). No other statistically significant correlation was found between ASM and kidney, nutritional, metabolic, and inflammatory variables.
UNASSIGNED: In male patients with CKD stages G3-G5 not treated with dialysis, ASM correlates significantly and positively with anthropometric and body composition parameters such as weight, height, BMI, LTM, LTI, fat mass, and FTI. We did not observe such relationship between ASM and kidney function, nutritional, metabolic, and inflammatory variables.
UNASSIGNED: A total of 85 men with CKD and eGFR lower than 60 mL/min/1.73 m2 were included in the cross-sectional study: 24 participants with eGFR 59-45 mL/min/1.73 m2, 32 individuals with eGFR 44-30 mL/min/1.73 m2, and 29 men with eGFR ≤29 mL/min/1.73 m2. ASM was estimated by bioimpedance spectroscopy (BIS) with the use of a Body Composition Monitor (BCM). To evaluate ASM from BCM, Lin\'s algorithm was used. Among anthropometric parameters, height, weight, and body mass index (BMI) were measured. Serum laboratory measurements were grouped into kidney function, nutritional, inflammatory, and metabolic parameters.
UNASSIGNED: ASM was significantly associated with anthropometric and body composition variables. According to the anthropometric parameters, ASM correlated positively with weight, height, and BMI (p < 0.001 and r = 0.913, p < 0.001 and r = 0.560, and p < 0.001 and r = 0.737, respectively). Among body composition variables, ASM correlated significantly and positively with lean tissue mass (LTM) (p < 0.001, r = 0.746), lean tissue index (LTI) (p < 0.001, r = 0.609), fat mass (p < 0.001, r = 0.489), and fat tissue index (FTI) (p < 0.001, r = 0.358). No other statistically significant correlation was found between ASM and kidney, nutritional, metabolic, and inflammatory variables.
UNASSIGNED: In male patients with CKD stages G3-G5 not treated with dialysis, ASM correlates significantly and positively with anthropometric and body composition parameters such as weight, height, BMI, LTM, LTI, fat mass, and FTI. We did not observe such relationship between ASM and kidney function, nutritional, metabolic, and inflammatory variables.
摘要：
■肌肉萎缩影响超过50％的慢性肾病（CKD）患者，并与发病率和死亡率增加有关。了解CKD肌肉萎缩的机制和寻找骨骼肌质量损失的具体决定因素是至关重要的。尤其是那些在日常医疗实践中可用的。本研究旨在评估阑尾骨骼肌质量（ASM）和人体测量学之间的关系，身体成分,营养,炎症，新陈代谢，非透析依赖性CKD男性的肾功能变量。
■共有85名CKD和eGFR低于60mL/min/1.73m2的男性纳入横断面研究：24名患者eGFR为59-45mL/min/1.73m2，32名患者eGFR为44-30mL/min/1.73m2，29名患者eGFR≤29mL/min/1.73m2。使用身体成分监测器（BCM）通过生物阻抗谱（BIS）估算ASM。要从BCM评估ASM，使用了Lin的算法。在人体测量参数中，高度,体重,测量体重指数(BMI)。血清实验室测量分为肾功能，营养,炎症，和代谢参数。
■ASM与人体测量和身体成分变量显着相关。根据人体测量参数,ASM与体重呈正相关，高度,和BMI（分别为p<0.001和r=0.913，p<0.001和r=0.560，p<0.001和r=0.737）。在身体成分变量中，ASM与瘦组织质量（LTM）显着相关（p<0.001，r=0.746），瘦组织指数（LTI）（p<0.001，r=0.609），脂肪量（p<0.001，r=0.489），脂肪组织指数(FTI)(p<0.001,r=0.358)。在ASM和肾脏之间没有发现其他有统计学意义的相关性，营养,新陈代谢，和炎症变量。
■在CKD阶段G3-G5未接受透析治疗的男性患者中，ASM与人体测量和身体成分参数（如体重）显着相关且呈正相关。高度,BMI,LTM,LTI,脂肪量,和FTI。我们没有观察到ASM和肾功能之间的这种关系，营养,新陈代谢，和炎症变量。
■共有85名CKD和eGFR低于60mL/min/1.73m2的男性纳入横断面研究：24名患者eGFR为59-45mL/min/1.73m2，32名患者eGFR为44-30mL/min/1.73m2，29名患者eGFR≤29mL/min/1.73m2。使用身体成分监测器（BCM）通过生物阻抗谱（BIS）估算ASM。要从BCM评估ASM，使用了Lin的算法。在人体测量参数中，高度,体重,测量体重指数(BMI)。血清实验室测量分为肾功能，营养,炎症，和代谢参数。
■ASM与人体测量和身体成分变量显着相关。根据人体测量参数,ASM与体重呈正相关，高度,和BMI（分别为p<0.001和r=0.913，p<0.001和r=0.560，p<0.001和r=0.737）。在身体成分变量中，ASM与瘦组织质量（LTM）显着相关（p<0.001，r=0.746），瘦组织指数（LTI）（p<0.001，r=0.609），脂肪量（p<0.001，r=0.489），脂肪组织指数(FTI)(p<0.001,r=0.358)。在ASM和肾脏之间没有发现其他有统计学意义的相关性，营养,新陈代谢，和炎症变量。
■在CKD阶段G3-G5未接受透析治疗的男性患者中，ASM与人体测量和身体成分参数（如体重）显着相关且呈正相关。高度,BMI,LTM,LTI,脂肪量,和FTI。我们没有观察到ASM和肾功能之间的这种关系，营养,新陈代谢，和炎症变量。
