Measure What Matters Most in Sarcopenia: Regional vs. Appendicular Muscle Mass?

2021 ◽  
Vol 22 (4) ◽  
pp. 883-884
Author(s):  
Murat Kara ◽  
Walter R. Frontera ◽  
Levent Özçakar
2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1432.2-1432
Author(s):  
N. Toroptsova ◽  
O. Dobrovolskaya ◽  
N. Demin ◽  
L. Shornikova

Background:Rheumatoid arthritis (RA) is a complex inflammatory disease that modifies body composition. Using the dual-energy x-ray absorptiometry (DXA) in RA patients could be a method for body composition changes detection.Objectives:To study the body composition using DXA in patients with RA.Methods:The study involved 79 women with RA, median age 60 [55; 65] years. The bone mineral density (BMD) was measured by dual-energy x-ray absorptiometry using «Discovery A» (Hologic, USA). Assessment of body composition was carried out, using the program «Whole body». Sarcopenia (SP) was diagnosed as a decrease in appendicular mass index (AMI) <6.0 kg/m2. Osteoporosis (OP) was diagnosed as a decrease in T-score <-2.5 SD. Osteosarcopenia was determined when T-score was <-1.0 SD, AMI was <6.0 kg/m2, osteosarcopenic obesity - T-score was <-1.0 SD, AMI was <6.0 kg/m2and total fat was >35%.Results:The mean duration of RA was 9 [3; 11] years. The mean body mass index (BMI) was 27.6±4.8 kg/m2. Disease activity score in 28 joints-erythrocyte sedimentation rate was 4.5±1.3 points for the group. 39 (49.3%) patients used oral glucocorticoids continuously. Appendicular muscle mass and AMI were on average 17.8±3.0 kg and 6.8±1.0 kg/m2, respectively. AMI <6 kg/m2was detected in 20 (25.3%) patients. 56 (70.9%) women with RA had total fat > 35%, while only 22 (27.8%) of women with RA had obesity according to BMI (BMI >30 kg/m2). Isolated OP was found in 13 (16.5%), osteosarcopenia in 7 (8.9%) and osteosarcopenic obesity in 13 (16.5%) patients RA. No cases with isolated sarcopenia or sarcopenic obesity were detected. Only 3 (3.8%) patients did not have appendicular muscle mass, AMI and BMD decrease and overfat or obesity.Conclusion:About 97% women with RA had abnormal body composition phenotype: 16,5% - OP, 8.9% -osteosarcopenia, 16,5% - osteosarcopenic obesity and 54,4% - overfat.Disclosure of Interests:None declared


2016 ◽  
Vol 31 (4) ◽  
pp. 511-515 ◽  
Author(s):  
Tadashi ITO ◽  
Yoshihito SAKAI ◽  
Yoshifumi MORITA ◽  
Makoto OIKAWA ◽  
Kazuya GOTO ◽  
...  

2018 ◽  
Vol 41 (5) ◽  
pp. 354-362 ◽  
Author(s):  
Yasuharu Tabara ◽  
◽  
Michiya Igase ◽  
Kazuya Setoh ◽  
Takahisa Kawaguchi ◽  
...  

2013 ◽  
Vol 12 (1) ◽  
Author(s):  
Piettra Moura Galvão Pereira ◽  
Giselma Alcântara da Silva ◽  
Gilberto Moreira Santos ◽  
Edio Luiz Petroski ◽  
Amandio Aristides Rihan Geraldes

2021 ◽  
Author(s):  
Tatsuya Igawa ◽  
Norihiro Isogai ◽  
Akifumi Suzuki ◽  
Masahiro Ishizaka ◽  
Haruki Funao ◽  
...  

Abstract Dropped head syndrome (DHS) exhibits cervical deformity due to weakness of the cervical extensor group, and sarcopenia is characterized by progressive and systemic reduction in skeletal muscle mass. These clinical finding are associated with reduced activity of daily living, reduced quality of life, and increased risk of mortality. We collected and reviewed prospective registry data for 16 consecutive female patients with idiopathic DHS and 32 healthy individuals who matched their gender and age. The prevalence of sarcopenia and body composition data were compared. There were no differences in the prevalence of sarcopenia, appendicular muscle mass, and leg muscle mass between DHS patients and the healthy elderly. Trunk muscle mass in DHS patients was significantly lower than that in healthy individuals. A significant correlation was found between appendicular muscle mass and trunk muscle mass in healthy subjects but not in DHS patients. Sarcopenia was not associated with the onset of idiopathic DHS. The prevalence of sarcopenia was not high in patients with idiopathic DHS due to the preservation of their appendicular skeletal muscle mass. Patients with DHS were characterized by a significant loss of trunk muscle mass that may be related to the disease but not aging.


2019 ◽  
Vol 48 (5) ◽  
pp. 719-724 ◽  
Author(s):  
J Reiss ◽  
B Iglseder ◽  
R Alzner ◽  
B Mayr-Pirker ◽  
C Pirich ◽  
...  

Abstract Introduction we examined the consequences of applying the new EWGSOP2 algorithm for sarcopenia screening instead of the former EWGSOP algorithm (EWGSOP1) in geriatric inpatients. Methods the dataset of our formerly published Sarcopenia in Geriatric Elderly (SAGE) study includes 144 geriatric inpatients (86 women, 58 men, mean age 80.7±5.6 years) with measurements of gait speed, handgrip strength and appendicular muscle mass by dual x-ray absorptiometry (DXA). We analysed the agreement between EWGSOP and EWGSOP2 algorithms in identifying patients as sarcopenic/non-sarcopenic. Differences in the distribution sarcopenic vs. non-sarcopenic were assessed by Chi²-test. Results sarcopenia prevalence according to EWGSOP1 (41 (27.7%)) was significantly higher than with EWGSOP2 (26(18.1%), p<0.05). The sex-specific sarcopenia prevalence was 22.1% (EWGSOP1) and 17.4% (EWGSOP2), respectively, for women (difference not significant) and 37.9% vs. 19.4% for men (p<0.05%). The overall agreement in classifying subjects as sarcopenic/non-sarcopenic was 81.25% (81.4% for women, 81.0% for men). However, among the 41 sarcopenia cases identified by EWGSOP1, only 20 (48.8%) were diagnosed with sarcopenia by EWGSOP2 (9/19 w (47.4%), 11/22 m (50.0%)). Ten of 19 women (52.6%) and 11 of 22 men (50.0%) diagnosed with sarcopenia by EWGSOP1 were missed by EWGSOP2, while 6 of 15 women (40.0%) and 0 of 11 men (0.0%) were newly diagnosed. Discussion there is a substantial mismatch in sarcopenia case finding according to EWGSOP1 and EWGSOP2. The overall prevalence and the number of men diagnosed with sarcopenia are significantly lower in EWGSOP2. While the absolute number of women identified as sarcopenic remains relatively constant, the overlap of individual cases between the two definitions is low.


2018 ◽  
Vol 36 (Supplement 1) ◽  
pp. e114
Author(s):  
Y. Tabara ◽  
M. Igase ◽  
K. Setoh ◽  
Y. Ohyagi ◽  
T. Miki ◽  
...  

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