Abstract:Sarcopenia is characterized by a lower skeletal muscle quantity, higher fat accumulation in the muscle, lower muscle strength, and lower physical performance. The most commonly used, low cost and accessible methods to assess skeletal muscle mass include dual energy X-ray absorptiometry (DEXA), anthropometry and bioelectrical impedance analysis (BIA). Magnetic resonance imaging (MRI), computerized tomography (CT) and creatinine excretion are the most specific golden standards for assessing muscle mass or cross … Show more
“…5,6,14 Although sarcopenia is primarily a disease of the elderly, it is known that decreased muscle mass may be associated with several conditions other than the aging process, and can also be seen in younger patients, such as those with inflammatory diseases. 10 In the present study, the SMI of the patients with RA was found to be lower than the controls regardless of the ages of the participants. Thus, lower lean muscle mass may be associated with disease itself rather than age profile.…”
Section: Smisupporting
confidence: 41%
“…It has been reported that it provides valid estimates of appendicular skeletal muscle mass, and skeletal muscle measures with DXA are associated with prevalent and incident physical disability. 10 To define presarcopenia, it is necessary to have a measure of relative muscle mass. Various options to define subnormal values for muscle mass designation have been suggested.…”
Objectives:This cross-sectional pilot study aims to investigate presarcopenia in female patients with rheumatoid arthritis (RA) and to evaluate its relationship to the disability assessment. Patients and methods: Forty female patients with RA (mean age 48.3±8.3; range 31 to 66 years) and 40 healthy controls (mean age 46.2±6.9; range 31 to 58 years) matched for age, sex, and body mass index were included. Pain, morning stiffness duration, disease activity score, erythrocyte sedimentation rate, C-reactive protein, and Health Assessment Questionnaire (HAQ) were evaluated. Body compositions were assessed with whole body dual energy X-ray absorptiometry. The appendicular skeletal muscle mass and skeletal muscle mass index (SMI) of RA patients were compared to the controls and possible correlations between SMI, disease characteristics, and HAQ score were investigated. Results: The body mass index values and percentages of obese, overweight, and healthy weight subjects were similar in the patient and control groups. However, appendicular skeletal muscle mass and SMI calculations were significantly lower, and the percentage of presarcopenia was significantly higher in patients with RA (20%) than controls (7%) (p<0.05). Although there was no significant correlation between SMI and other parameters, a significant negative correlation was determined between SMI and HAQ score in patients with RA (p<0.05).
Conclusion:We demonstrated lower SMI values and higher presarcopenia ratios in patients with RA than healthy controls. Independent from other disease characteristics, the inverse correlation between SMI and HAQ scores may contribute to understanding of the impact of the process on patient disability.
“…5,6,14 Although sarcopenia is primarily a disease of the elderly, it is known that decreased muscle mass may be associated with several conditions other than the aging process, and can also be seen in younger patients, such as those with inflammatory diseases. 10 In the present study, the SMI of the patients with RA was found to be lower than the controls regardless of the ages of the participants. Thus, lower lean muscle mass may be associated with disease itself rather than age profile.…”
Section: Smisupporting
confidence: 41%
“…It has been reported that it provides valid estimates of appendicular skeletal muscle mass, and skeletal muscle measures with DXA are associated with prevalent and incident physical disability. 10 To define presarcopenia, it is necessary to have a measure of relative muscle mass. Various options to define subnormal values for muscle mass designation have been suggested.…”
Objectives:This cross-sectional pilot study aims to investigate presarcopenia in female patients with rheumatoid arthritis (RA) and to evaluate its relationship to the disability assessment. Patients and methods: Forty female patients with RA (mean age 48.3±8.3; range 31 to 66 years) and 40 healthy controls (mean age 46.2±6.9; range 31 to 58 years) matched for age, sex, and body mass index were included. Pain, morning stiffness duration, disease activity score, erythrocyte sedimentation rate, C-reactive protein, and Health Assessment Questionnaire (HAQ) were evaluated. Body compositions were assessed with whole body dual energy X-ray absorptiometry. The appendicular skeletal muscle mass and skeletal muscle mass index (SMI) of RA patients were compared to the controls and possible correlations between SMI, disease characteristics, and HAQ score were investigated. Results: The body mass index values and percentages of obese, overweight, and healthy weight subjects were similar in the patient and control groups. However, appendicular skeletal muscle mass and SMI calculations were significantly lower, and the percentage of presarcopenia was significantly higher in patients with RA (20%) than controls (7%) (p<0.05). Although there was no significant correlation between SMI and other parameters, a significant negative correlation was determined between SMI and HAQ score in patients with RA (p<0.05).
Conclusion:We demonstrated lower SMI values and higher presarcopenia ratios in patients with RA than healthy controls. Independent from other disease characteristics, the inverse correlation between SMI and HAQ scores may contribute to understanding of the impact of the process on patient disability.
Background:The quantity and quality of skeletal muscle have been observed to be closely related with post-transplantation mortality in patients undergoing living donor liver transplantation (LDLT). However, the effect of LDLT on skeletal muscle has not been thoroughly investigated. The aim of this study was to investigate the change of trunk muscle mass and adiposity in recipients of LDLT. Results: A statistically significant correlation was detected between pre-operative values and follow-up differences in DMGMI for both sexes (male: r=−0.675, P=0.008; female: r=−0.687, P=0.002) and in PMI for both sexes (males: r=−0.739, P=0.003; females: r=−0.641, P=0.006). The correlation of pre-operative values and follow-up differences for IMAC was not statistically significant with r=0.132 (P=0.700) and r=−0.498 (P=0.071) for males and females, respectively.Conclusions: Improvement of sarcopenia in recipients of LDLT can be demonstrated regardless of sex using volumetric CT.
“…Bioelectrical impedance analysis (BIA) is a simple method that has also been used despite its lack of accuracy. While imaging diagnostic modalities such as magnetic resonance imaging (MRI) or computed tomography (CT) allow for accurate measurements of muscle mass, these methods are cost prohibitive [56][57][58] .…”
Section: Diagnosis and Treatment For Sarcopeniamentioning
confidence: 99%
“…The relationship between biomarkers and sarcopenia has been reported 57,58,62) , and the usefulness of measuring several biomarker candidates, including inflammatory biomarkers, clinical parameters, hormones, and products of oxidative damage, has been studied. Biomarkers that can be obtained from blood and urine may be beneficial, as there is little burden on the patient.…”
Section: Diagnosis and Treatment For Sarcopeniamentioning
The occurrence of sarcopenia and muscular dystrophy with aging has attracted attention. Many factors are reported as causes of sarcopenia, such as the functional decline of a digestive organ occurring with aging and malnutrition due to a decrease in food intake. Also, a decrease in growth hormone and an increase in cytokines are also considered to be causes of sarcopenia. Meanwhile, the differentiation between sarcopenia and disuse muscle atrophy is not clear. It will be important in future studies to clearly define the differences between sarcopenia and disuse muscle atrophy. Recently, the diagnostic criteria of sarcopenia have been defined according to a large-scale investigation. In the future, an easier sarcopenia diagnostic method should be developed. It is necessary to design specific treatment strategies more closely correlated to the clinical condition of individual patients, because the causes of sarcopenia vary widely. In this review, we summarize the characteristics of the clinical condition, diagnosis, and treatment of sarcopenia.
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