scholarly journals Feasibility of computed tomography-based assessment of skeletal muscle mass in hemodialysis patients

2020 ◽  
Author(s):  
Tomoaki Takata ◽  
Aki Motoe ◽  
Katsumi Tanida ◽  
Sosuke Taniguchi ◽  
Ayami Ida ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Hemodialysis Patients

scholarly journals Skeletal muscle mass is associated with erythropoietin response in hemodialysis patients

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Tomoaki Takata ◽  
Yukari Mae ◽  
Kentaro Yamada ◽  
Sosuke Taniguchi ◽  
Shintaro Hamada ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Weight ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Linear Regression Analysis ◽  
Transferrin Saturation ◽  
Resistance Index ◽  
Hemodialysis Patients ◽  
Maintenance Hemodialysis ◽  
Weekly Dose

Abstract Background Hyporesponsiveness to erythropoietin stimulating agent (ESA) is associated with poor outcomes in patients with chronic kidney disease. Although ESA hyporesponsiveness and sarcopenia have a common pathophysiological background, clinical evidence linking them is scarce. The purpose of the study was to investigate the relationship between ESA responsiveness and skeletal muscle mass in hemodialysis patients. Methods This cross-sectional study analyzed 70 patients on maintenance hemodialysis who were treated with ESA. ESA responsiveness was evaluated by erythropoietin resistance index (ERI), calculated as a weekly dose of ESA divided by body weight and hemoglobin (IU/kg/week/dL), and a weekly dose of ESA/hemoglobin (IU/week/dL). A dose of ESA is equivalated to epoetin β. Correlations between ESA responsiveness and clinical parameters including skeletal muscle mass were analyzed. Results Among the 70 patients, ERI was positively correlated to age (p < 0.002) and negatively correlated to height (p < 0.001), body weight (p < 0.001), BMI (p < 0.001), skeletal muscle mass (p < 0.001), transferrin saturation (TSAT) (p = 0.049), and zinc (p = 0.006). In the multiple linear regression analysis, TSAT, zinc, and skeletal muscle mass were associated with ERI and weekly ESA dose/hemoglobin. Conclusions Skeletal muscle mass was the independent predictor for ESA responsiveness as well as TSAT and zinc. Sarcopenia is another target for the management of anemia in patients with hemodialysis.

P0960HOME BASED RESISTANCE EXERCISE PROGRAM AND SARCOPENIA IN HEMODIALYSIS PATIENTS: IT IS A USEFUL INTERVENTION?

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Vicent Esteve Simó ◽  
Anna Junqué Jiménez ◽  
Verónica Duarte Gallego ◽  
Irati Tapia González ◽  
Fátima Moreno Guzmán ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Resistance Exercise ◽  
Muscle Mass ◽  
Functional Capacity ◽  
Muscular Strength ◽  
Skeletal Muscle Mass ◽  
Exercise Program ◽  
Hemodialysis Patients ◽  
Home Based

Abstract Background and Aims Sarcopenia is a skeletal muscle disorder associated with adverse outcomes including falls, physical disability and mortality particularly in hemodialysis (HD) patients. Currently, progressive resistance training exercise has been shown a proven method to treat and prevent sarcopenia. Nevertheless, these findings are poorly investigated in HD patients since exercise programs are not widespread. The aim of our study was to assess the effect of a home-based resistance exercise program (HBREP) on muscular strength, functional capacity and body composition in our hemodialysis patients with sarcopenia according to the European Working Group on Sarcopenia in Older People criteria (EWGSOP2). Method A 12 weeks single-center prospective study. HD patients from our institution with EWGSOP2 sarcopenia diagnosis were enrolled in a HBREP. Demographical an anthropometrical data, main biochemical and nutritional parameters, hand grip (HG) muscular strength, functional capacity tests: Sit to stand to seat 5 (STS5); Short Physical Performance Battery (SPPB), gait speed (GS), as well as body composition determined by electrical bioimpedance (BIA) and sarcopenia severity were analized. Results 18 HD patients with sarcopenia (71.4% severe) were included (4 drop out).78.6% men. Mean age 74.7 years and 53.3 months on HD. The main etiologies of ESRD were the HBP (21.4%) and DM (14.3%). Globally, a significant improvement was observed at the end of the study in relation to muscular strength (HG 19.9±6.1 vs 22.2±7.1 kg, p 0.001) and functional capacity tests (STS5 21.9±10.3 vs 17.2±9.9 sec, p 0.001; SPPB (6.9±2.3 vs 9.1±2.5 score, p 0.001 and GS 0.8±0.1 vs 0.9±0.2 m/s, p 0.015). Likewise, higher total skeletal muscle mass (SMM, 14.3±2.8 vs 14.5±2.9 kg) and SMM index (SMM/height2, 5.5±0.7 vs 5.7±0.9 Kg/m2 ) were found at the end of the study, although these differences were not significant. Finally, 2 patients (14.8%) reverse the EWGSOP2 sarcopenia criteria and 3 (21.4%) enhanced their severe sarcopenia. No relevant changes regarding anthropometrical data, main biochemical and nutritional parameters or dialysis adequacy were observed at the end of the study. Conclusion A home-based resistance exercise program improves muscular strength, functional capacity and body composition in our sarcopenic hemodialysis patients. With our results, home-based resistance exercise programs should be considered a key point in the prevention and treatment of skeletal muscle mass reduction due to sarcopenia in these patients. Further studies are mandatory to confirm our encouraging results.

scholarly journals MP437FACTORS RELATED TO THE DECREASE IN SKELETAL MUSCLE MASS IN HEMODIALYSIS PATIENTS

2017 ◽  
Vol 32 (suppl_3) ◽  
pp. iii589-iii590
Author(s):  
Hiroshi Ogawa ◽  
Toshimitsu Koga ◽  
Yoshihiro Ota ◽  
Yuko Kojima ◽  
Azumi Sato ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Hemodialysis Patients

Proposal for new diagnostic criteria for low skeletal muscle mass based on computed tomography imaging in Asian adults

Nutrition ◽  
2016 ◽  
Vol 32 (11-12) ◽  
pp. 1200-1205 ◽  
Author(s):  
Yuhei Hamaguchi ◽  
Toshimi Kaido ◽  
Shinya Okumura ◽  
Atsushi Kobayashi ◽  
Ahmed Hammad ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Diagnostic Criteria ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Computed Tomography Imaging ◽  
Tomography Imaging

SUN-P201: Contrast-Enhancement Influences Skeletal Muscle Density, but Not Skeletal Muscle Mass, Measurements on Computed Tomography

2017 ◽  
Vol 36 ◽  
pp. S128 ◽  
Author(s):  
J. Van Vugt ◽  
R. Coebergh van den Braak ◽  
H.-J. Schippers ◽  
K. Veen ◽  
S. Levolger ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Contrast Enhancement ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Mass Measurements ◽  
Muscle Density

scholarly journals Predictors of Discordance in the Assessment of Skeletal Muscle Mass between Computed Tomography and Bioimpedance Analysis

2019 ◽  
Vol 8 (3) ◽  
pp. 322 ◽  
Author(s):  
Min Jo ◽  
Tae Lim ◽  
Mi Jeon ◽  
Hye Lee ◽  
Beom Kim ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Female Gender ◽  
Albumin Level ◽  
Advanced Age ◽  
Bioimpedance Analysis ◽  
Skeletal Muscle Index ◽  
Cutoff Values

Computed tomography (CT) and bioimpedance analysis (BIA) can assess skeletal muscle mass (SMM). Our objective was to identify the predictors of discordance between CT and BIA in assessing SMM. Participants who received a comprehensive medical health check-up between 2010 and 2018 were recruited. The CT and BIA-based diagnostic criteria for low SMM are as follows: Defined CT cutoff values (lumbar skeletal muscle index (LSMI) <1 standard deviation (SD) and means of 46.12 cm2/m2 for men and 34.18 cm2/m2 for women) and defined BIA cutoff values (appendicular skeletal muscle/height2 <7.0 kg/m2 for men and <5.7 kg/m2 for women). A total of 1163 subjects were selected. The crude and body mass index (BMI)-adjusted SMM assessed by CT were significantly associated with those assessed by BIA (correlation coefficient = 0.78 and 0.68, respectively; p < 0.001). The prevalence of low SMM was 15.1% by CT and 16.4% by BIA. Low SMM diagnosed by CT was significantly associated with advanced age, female gender, and lower serum albumin level, whereas low SMM diagnosed by BIA was significantly associated with advanced age, female gender, and lower BMI (all p < 0.05). Upon multivariate analysis, age >65 years, female and BMI <25 kg/m2 had significantly higher risks of discordance than their counterparts (all p < 0.05). We found a significant association between SMM assessed by CT and BIA. SMM assessment using CT and BIA should be interpreted cautiously in older adults (>65 years of age), female and BMI <25 kg/m2.

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