scholarly journals SAT0144 Effect of aging on bone mass and skeletal muscle mass in elderly patients with rheumatoid arthritis: tomorrow study

2018 ◽  
Author(s):  
K. Inui ◽  
T. Koike ◽  
Y. Sugioka ◽  
T. Okano ◽  
K. Mamoto ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Skeletal Muscle ◽  
Bone Mass ◽  
Elderly Patients ◽  
Muscle Mass ◽  
Skeletal Muscle Mass

771-P: Protein Intake at Breakfast Contributes to Maintenance of Skeletal Muscle Mass in Japanese Elderly Patients with Type 2 Diabetes

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 771-P
Author(s):  
SODAI KUBOTA ◽  
HITOSHI KUWATA ◽  
SAKI OKAMOTO ◽  
DAISUKE YABE ◽  
KENTA MUROTANI ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Skeletal Muscle ◽  
Elderly Patients ◽  
Muscle Mass ◽  
Protein Intake ◽  
Skeletal Muscle Mass ◽  
P Protein ◽  
Japanese Elderly

scholarly journals Predictors of changes in skeletal muscle mass after esophagectomy in elderly patients with esophageal cancer

2021 ◽  
Author(s):  
Tsuyoshi Harada ◽  
Noriatsu Tatematsu ◽  
Junya Ueno ◽  
Yu Koishihara ◽  
Nobuko Konishi ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Esophageal Cancer ◽  
Elderly Patients ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Quadriceps Muscle ◽  
Computed Tomography Images ◽  
Ratio Change ◽  
Comprehensive Rehabilitation ◽  
The Mean

Abstract Purpose : Although a change in skeletal muscle mass index (SMI) 4 months after esophagectomy impacts prognosis, predictors of a change in SMI have not been revealed. The purpose of this exploratory retrospective study was to clarify the predictors of a change in SMI after curative esophagectomy in elderly patients with esophageal cancer.Methods : Fifty-four patients who underwent esophagectomy and perioperative rehabilitation from 2015 to 2018 were enrolled. Preoperative and postoperative SMI (cm 2 /m 2 ) were calculated using computed tomography images. The ratio change in SMI was calculated as follows: (postoperative SMI − preoperative SMI) ÷ preoperative SMI × 100%. Potential predictors of a change in SMI ratio were analyzed by multiple regression. Results : The mean ratio change in SMI 4 months after esophagectomy was −7.1% ± 9.4%. The ratio change in quadriceps muscle strength in the first month after surgery ([postoperative strength − preoperative strength] ÷ preoperative strength × 100%) (standardized β = .273, p = .038) and neoadjuvant chemotherapy (NAC) (standardized β = .398, p = .006) were predictors of the ratio change in SMI independent of age, sex, pathological stage, and preoperative SMI. Conclusion : Quadriceps muscle weakness in the first month after esophagectomy and NAC were predictors of the ratio change in SMI after esophagectomy. Continuous postoperative comprehensive rehabilitation and supportive care may inhibit loss of skeletal muscle mass.

scholarly journals Low muscle mass assessed by psoas muscle area is associated with clinical adverse events in elderly patients with heart failure

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247140
Author(s):  
Takehiro Funamizu ◽  
Yuji Nagatomo ◽  
Mike Saji ◽  
Nobuo Iguchi ◽  
Hiroyuki Daida ◽  
...  
Keyword(s):  
Heart Failure ◽  
Skeletal Muscle ◽  
Adverse Events ◽  
Elderly Patients ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Psoas Muscle ◽  
Composite Endpoint ◽  
Left Ventricular Ejection ◽  
Muscle Area

Background Acute decompensated heart failure (ADHF) is a growing healthcare burden with increasing prevalence and comorbidities due to progressive aging society. Accumulating evidence suggest that low skeletal muscle mass has a negative impact on clinical outcome in elderly adult population. We sought to determine the significance of psoas muscle area as a novel index of low skeletal muscle mass in elderly patients with ADHF. Methods In this single-center retrospective observational study, we reviewed consecutive 865 elderly participants (65 years or older) who were hospitalized for ADHF and 392 were available for analysis (79 years [74–85], 56% male). Cross-sectional areas of psoas muscle at the level of fourth lumbar vertebra were measured by computed tomography and normalized by the square of height to calculate psoas muscle index (PMI, cm2/m2). Results Dividing the patients by the gender-specific quartile value (2.47 cm2/m2 for male and 1.68 cm2/m2 for female), we defined low PMI as the lowest gender-based quartile of PMI. Multiple linear regression analysis revealed female sex, body mass index (BMI), and E/e’, but not left ventricular ejection fraction, were independently associated with PMI. Kaplan-Meier analysis showed low PMI was associated with higher rate of composite endpoint of all-cause death and ADHF re-hospitalization (P = 0.033). Cox proportional hazard model analysis identified low PMI, but not BMI, was an independent predictor of the composite endpoint (Hazard ratio: 1.52 [1.06–2.16], P = 0.024). Conclusions PMI predicted future clinical adverse events in elderly patients with ADHF. Further studies are needed to assess whether low skeletal muscle mass can be a potential therapeutic target to improve the outcome of ADHF.

Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study

2021 ◽  
Vol 23 ◽  
Author(s):  
Rafaela Cavalheiro do Espírito Santo ◽  
Lidiane Isabel Filippin ◽  
Priscila Schimidt Lora ◽  
Ricardo Machado Xavier
Keyword(s):  
Rheumatoid Arthritis ◽  
Skeletal Muscle ◽  
Nutritional Status ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Whole Body ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Abstract Our objective was to adjust and validate predictive equations for appendicular skeletal muscle mass (ASM) in patients with Rheumatoid Arthritis (RA). Whole-body DXA data in 90 RA patients were used for measurement of ASM (kg). The prediction equation anthropometric for muscle mass proposed by Lee et al was used to generate estimates of ASM. Appendicular skeletal muscle mass index (ASMI, kg/m2) was calculated. Frequency analysis, Paired student's t-test, Linear regression, Pearson correlation, Intraclass correlation coefficients, and Bland-Altman scatter were performed. The statistical significance considered was p<0.05. Lee’s equation was overestimated by 30% when compared with ASMI by DXA. When stratified by nutritional status, Lee’s equation overestimated the ASMI by 30% in overweight patients and by 50% in obese patients when compared with DXA (p<0.05). These adjusted equations estimated values for ASMI were closer to those obtained by DXA than those estimated by the original Lee’s equation (p<0.05). This greater concordance was confirmed by the observed interclass correlation coefficients and by Bland-Altman scatter graphs. In conclusion, the prediction of muscle mass in RA patients may be performed with equations that consider the nutritional status of patients.

scholarly journals The Association of Sarcopenia and Bone Mineral Densitometry in a Small Population of Turkish Elderly (P21-048-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Umut Safer ◽  
Vildan Binay Safer
Keyword(s):  
Skeletal Muscle ◽  
Elderly Patients ◽  
Grip Strength ◽  
Muscle Mass ◽  
Bone Mineral ◽  
Conflict Of Interest ◽  
Skeletal Muscle Mass ◽  
Walking Speed ◽  
Hand Grip ◽  
Bone Mineral Densitometry

Abstract Objectives Mortality rate of hip fracture is 18%-33% in following year. Epidemiological studies showed that sarcopenia is associated with mortality, morbidity and functional loss. Little is known about sarcopenia diagnostic criteria (ESPEN 2009) and bone mineral densitometry (BMD) scores in Turkish Elderly Population. Methods In this single centered observational study, elderly patients without cognitive impairment underwent assessment. Demographic features, mini nutrition assessment- sort form (MNA-sf) score, BMD, hand grip strength, 5 meter walking speed, skeletal muscle mass(SMM) and skeletal muscle mass index (SMM/Height 2) were recorded. We assessed sarcopenia criteria and BMD score relation. Results Forty-seven patients were fulfills inclusion criteria and underwent assessment. Mean age was 75.7661.03 and 63.8% were female. Three of all were sarcopenic according to ESPEN 2009 guidelines. 83% were normal and 17% were at malnutrition risk according to MNA-sf score. Hand grip straight (r¼0.286, p¼0.05) and SMM (r¼0.38, p¼0.011) were significantly positive correlates with femur total T score but there were no correlations between SMM index and 5 meters walking speed. Conclusions This preliminary study showed relations between skeletal muscle mass, hand grip strength and femur total BMD score in a small Turkish Elderly Patients Population. Sarcopenia and osteoporosis relation in Turkish Population should be assessed in multicentre large population-based study. Funding Sources Conflict of Interest: No conflict of interest, Fund: None.

scholarly journals AB0251 SARCOPENIA IN MOROCCAN POPULATION WITH RHEUMATOID ARTHRITIS: PREVALENCE AND PREDICTIVE FACTORS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1425.2-1425
Author(s):  
E. Jalila ◽  
H. Azzouzi ◽  
I. Linda
Keyword(s):  
Rheumatoid Arthritis ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Cross Sectional Study ◽  
Whole Body ◽  
Sectional Study ◽  
Mineral Density ◽  
Cross Sectional ◽  
Lean Muscle Mass

Background:Patients with rheumatoid arthritis (RA) were at risk for altered body composition with higher prevalence of sarcopenia compared to the general population. Low lean muscle mass may constitute an additional risk factor for altered bone density in RA patients.Objectives:We aimed to study the prevalence of sarcopenia and to assess its predictive factors in Moroccan patients with RA.Methods:We conducted a cross-sectional study over two months in our department of rheumatology. All RA patients fulfilled ACR/EULAR 2010 criteria. We performed a whole-body dual-energy X-ray absorptiometry (DXA) to measure lean mass, fat mass and bone mass in the whole body and body parts. The appendicular skeletal muscle mass was assessed using the sum of skeletal muscle mass in the arms and legs. The relative skeletal muscle mass index (RSMI) was calculated from the appendicular skeletal mass divided by the square of the patient’s height (kg/m2). According to Baumgartner et al, sarcopenia was defined as a relative SMI <5.5 kg/m2on women and <7.26 kg/m2on men. Body mass index (BMI) was measured and patients were classified according to World Health Organization. Disease activity and functional disability were measured using the 28-joint Disease Activity Score (DAS28) with CRP and the Health Assessment Questionnaire (HAQ). Comorbidities and medication use including corticosteroids were also recorded. Data was entered and processed using the IBM SPSS Statistics 20. A univariate analysis as well as multivariate regressions were carried out to assess the association between sarcopenia and lumbar spine and femoral neck (FN) bone mineral density (BMD) and RA characteristics.Results:We included 70 (87.5%) women and 10 (12.5%) men with a mean age of 53.59 ±10.96 years old. They had a mean disease duration of 12.35± 8.68, a mean DAS 28 CRP of 2.64±1.34, a mean HAQ of 0.94±0.63 and a mean RSMI of 5.75±1.17. Women had a mean RSMI of 6.33±1.04 while men had a mean RSMI of 5.66±1.17. The prevalence of sarcopenia in our population was 47.4% (37), of whom 81.1% (30) women.In univariate regression analysis, sarcopenia was associated with normal BMI (OR: 8.59, 95% CI [3.054-24.182], p= 0.000), DAS 28 CRP (OR: 1.78, 95% CI [1.203-2.657], p= 0.004), HAQ (OR: 2.15, 95% CI [1.165-5.433], p= 0.019), lumbar spine BMD (OR: 0.001, 95% CI [0.00001-0.043], p= 0.0004) and FN BMD (OR: 0.000006, 95% CI [0.000-0.002], p= 0,00008 at right FN and OR: 0.00009, 95% CI [0.000001-0.010], p=0.000 at left FN, respectively).In multiple regression analysis, sarcopenia was associated with normal BMI (OR: 11.56, 95% CI [2.754–48.598]), p=0.001 and FN BMD (OR: 0.00, 95% CI [0.000–0.084], p = 0.006).Conclusion:In the present study, sarcopenia was common among RA patients and associated with normal BMI and femoral neck BMD, emphasizing the importance of this modifiable risk factor. Further studies are needed to identify effective means to improve lean muscle mass in patients with RA.References:[1]Mochizuki T et al. Sarcopenia-associated factors in Japanese patients with rheumatoid arthritis: A cross-sectional study. Geriatr. Gerontol. Int. 2019;19 (9), 907-912[2]Okano T et al. Loss of lean body mass affects low bone mineral density in patients with rheumatoid arthritis -results from the TOMORROW study-, Modern Rheumatology. 2017;27(6):1-19.[4]Peggy M. Cawthon. Assessment of Lean Mass and Physical Performance in Sarcopenia. Journal of Clinical Densitometry. 2015;18(4):467-71.Disclosure of Interests:None declared

scholarly journals Serum vitamin D status inversely associates with a prevalence of severe sarcopenia among female patients with rheumatoid arthritis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hiroto Minamino ◽  
Masao Katsushima ◽  
Mie Torii ◽  
Wataru Yamamoto ◽  
Yoshihito Fujita ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Skeletal Muscle ◽  
Vitamin D ◽  
Muscle Mass ◽  
Physical Performance ◽  
Gait Speed ◽  
Skeletal Muscle Mass ◽  
Vitamin D Status ◽  
Female Patients ◽  
High Prevalence

AbstractSarcopenia is an age-related disease with an increased risk of mortality. It is emerging that low serum 25-hydroxyvitamin D [25(OH)D] affects the sarcopenic state in general, but in rheumatoid arthritis (RA), these associations are not understood although the prevalence of vitamin D insufficiency is high in RA. We conducted a cross-sectional study of older female outpatients from our cohort (KURAMA) database. We measured skeletal muscle mass, handgrip strength, and gait-speed to diagnose severe sarcopenia. The serum 25(OH)D concentration was measured using electrochemiluminescence immunoassay. A total of 156 female patients with RA (sarcopenia:44.9%, severe sarcopenia: 29.5%, and without sarcopenia: 25.6%) were enrolled. Classification of vitamin D status at a cutoff point of median 25(OH)D concentration revealed that low 25(OH)D status was associated with a high prevalence of severe sarcopenia and with low measured values of muscle mass, handgrip, and gait speed. Furthermore, multivariable logistic regression analysis identified that low 25(OH)D status was associated with a high prevalence of severe sarcopenia (OR 6.00; 95% CI 1.99–18.08).The same association was observed when the cut-off value was set at 20 ng/ml. In components of sarcopenia, both low physical performance and muscle mass were associated with low 25(OH)D status. In conclusion, vitamin D status was inversely associated with severe sarcopenia, low physical performance, and low skeletal muscle mass. Modification of vitamin D status including vitamin D supplementation should be investigated as a therapeutic strategy for sarcopenic patients with RA.

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