Katarzyna Romejko ^1* Katarzyna Szamotulska ² Aleksandra Rymarz ¹ Tomasz Rozmyslowicz ³ Stanisław Niemczyk ¹

• ¹ Military Institute of Medicine (Poland), Warsaw, Poland
• ² Institute of Mother and Child, Warsaw, Masovian, Poland
• ³ Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States

Background: Muscle atrophy affects more than 50% of patients with in chronic kidney disease (CKD) and is associated with increased morbidity and mortality. It is crucial to understand 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. The aim of this study was 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. Methods: 85 men with CKD and eGFR lower than 60 mL/min/1.73 m2 were included into 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 Body Composition Monitor (BCM). To evaluate ASM from BCM the 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. Results: 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, 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 were found between ASM and kidney, nutritional, metabolic and inflammatory variables. Conclusions: 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.