MON-LB700: Impact of Low Skeletal Muscle Mass, Muscle Quality and Sarcopenic Obesity on Patients Awaiting Liver Transplantation

2019 ◽  
Vol 38 ◽  
pp. S320
Author(s):  
C.M. Peteiro Miranda ◽  
J.J. Ortez Toro ◽  
B. Sanz Martín ◽  
S. Roman Gimeno ◽  
J.A. Gimeno Orna ◽  
...  
2015 ◽  
Vol 7 (3) ◽  
pp. 312-321 ◽  
Author(s):  
Stefanos Tyrovolas ◽  
Ai Koyanagi ◽  
Beatriz Olaya ◽  
Jose Luis Ayuso-Mateos ◽  
Marta Miret ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 755 ◽  
Author(s):  
Carina O. Walowski ◽  
Wiebke Braun ◽  
Michael J. Maisch ◽  
Björn Jensen ◽  
Sven Peine ◽  
...  

Assessment of a low skeletal muscle mass (SM) is important for diagnosis of ageing and disease-associated sarcopenia and is hindered by heterogeneous methods and terminologies that lead to differences in diagnostic criteria among studies and even among consensus definitions. The aim of this review was to analyze and summarize previously published cut-offs for SM applied in clinical and research settings and to facilitate comparison of results between studies. Multiple published reference values for discrepant parameters of SM were identified from 64 studies and the underlying methodological assumptions and limitations are compared including different concepts for normalization of SM for body size and fat mass (FM). Single computed tomography or magnetic resonance imaging images and appendicular lean soft tissue by dual X-ray absorptiometry (DXA) or bioelectrical impedance analysis (BIA) are taken as a valid substitute of total SM because they show a high correlation with results from whole body imaging in cross-sectional and longitudinal analyses. However, the random error of these methods limits the applicability of these substitutes in the assessment of individual cases and together with the systematic error limits the accurate detection of changes in SM. Adverse effects of obesity on muscle quality and function may lead to an underestimation of sarcopenia in obesity and may justify normalization of SM for FM. In conclusion, results for SM can only be compared with reference values using the same method, BIA- or DXA-device and an appropriate reference population. Limitations of proxies for total SM as well as normalization of SM for FM are important content-related issues that need to be considered in longitudinal studies, populations with obesity or older subjects.


2016 ◽  
Vol 24 (4) ◽  
pp. 1037-1045 ◽  
Author(s):  
Shinya Okumura ◽  
Toshimi Kaido ◽  
Yuhei Hamaguchi ◽  
Atsushi Kobayashi ◽  
Hisaya Shirai ◽  
...  

2021 ◽  
Author(s):  
Aliyu Tijani Jibril ◽  
Atieh Mirzababaei ◽  
Farideh Shiraseb ◽  
Niloufar Rasaei ◽  
Khadijeh Mirzaei

Abstract Objectives Obesity is a major risk factor for metabolic syndrome, with its prevalence has increased over the past decade. Major changes in body composition with aging have a significant effect on many clinical outcomes. Sarcopenic obesity consists of both the presence of abnormal adipose tissue with a deficit of muscle mass. Results Of the 241 subjects in this study (average age 35.32 years), 176 (73.03%) were classified as MUO phenotype. Based on this study, the prevalence of sarcopenic obesity was 7.88%. We found that high fat-free mass was more strongly and significantly associated with MUO phenotype. Furthermore, we found that individuals with high fat-free mass and high skeletal muscle mass had a significantly low prevalence of MUO phenotype. A significant positive correlation between metabolic phenotypes and sarcopenic obesity was also observed after all potential covariates were adjusted for. These results of this study suggest that increased adiposity and decreased skeletal muscle mass are associated with unfavorable metabolic traits among overweight and obese Iranian women. SO was also found to be associated with a greater risk of developing MUO phenotype.


2017 ◽  
Vol 36 ◽  
pp. S80
Author(s):  
J. Van Vugt ◽  
S. Buettner ◽  
L. Alferink ◽  
N. Bossche ◽  
R. de Bruin ◽  
...  

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