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OBJECTIVES: To investigate the prevalence and incidence rates of sarcopenia in Japanese community-dwelling people according to the criteria of the Asian Working Group for Sarcopenia 2019 recommendations, using a large-scale population-based cohort over a 10-year follow-up period. DESIGN: Prospective cohort study. SETTING AND PARTICIPANTS: This study was conducted using data from the Research on Osteoarthritis/Osteoporosis Against Disability (ROAD) study. In total, 1551 participants (521 men and 1030 women; mean age, 65.8 years) from the second ROAD survey (2008-2-10) were included in this study. METHODS: The participants from the second survey were followed-up at 4, 7, and 10 years. Skeletal muscle mass, handgrip strength, and walking speed were assessed. Sarcopenia was defined according to the Asian Working Group for Sarcopenia 2019 criteria. The incidence of sarcopenia was calculated using the person-year method. Cox proportional hazard model was used to assess risk factors for incident sarcopenia. RESULTS: The prevalence of sarcopenia was 8.1% (8.8% in men and 7.7% in women), and the prevalence of severe sarcopenia was 2.9% (2.7% in men and 3.1% in women). The incidence rates of sarcopenia were 17.8 per 1000 and 14.5 per 1000 person-years in men and women, respectively. Additionally, the incidence rates of severe sarcopenia were 6.4 per 1000 and 4.2 per 1000 person-years in men and women, respectively. The significant risk factors for the incidence of sarcopenia were age (+1 year; hazard ratio [HR], 1.10; 95% CI, 1.08-1.12) and body mass index (-1 kg/m2; HR, 1.27; 95% CI, 1.20-1.35). The significant risk factors for the incidence of severe sarcopenia were age (+1 year; HR, 1.18; 95% CI, 1.14-1.22) and body mass index (-1 kg/m2; HR, 1.21; 95% CI, 1.10-1.33). CONCLUSIONS AND IMPLICATIONS: The prevalence and incidence rates of sarcopenia in Japan were clarified in this study.

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BACKGROUND: Sarcopenia, characterized by age-related loss of muscle mass and function, poses a significant public health concern, particularly in Asia's rapidly aging population. This systematic review and meta-analysis aimed to evaluate the current epidemiology of sarcopenia in Asia using the 2019 Asian Working Group for Sarcopenia (AWGS) diagnostic criteria. METHODS: Databases including PubMed, Embase, Web of Science, and Cochrane were systematically searched for studies published until December 7, 2023, involving older adults aged ≥ 60 years diagnosed with sarcopenia using the 2019 AWGS criteria in Asia. Study quality was assessed, and meta-analyses were conducted to estimate the pooled prevalence of sarcopenia, possible sarcopenia, and severe sarcopenia. RESULTS: A total of 140 studies, collectively involving 156,325 participants (67.1 % community-dwelling older adults with the minimum age for participant inclusion ranging from 60 to 80 years) from various Asian countries, were included. The overall prevalence of sarcopenia among community-dwelling older adults was 16.5 % (95 % CI: 14.7 %-18.4 %). Notably, the prevalence of possible sarcopenia was higher at 28.7 % (95 % CI: 22.0 %-36.5 %), while severe sarcopenia had a lower prevalence of 4.4 % (95 % CI: 3.3 %-5.8 %). Subgroup analyses revealed variations in sarcopenia prevalence based on diagnostic modalities, ranging from 7.5 % (95 % CI: 6.0 %-9.4 %) for assessments using bioelectrical impedance analysis, handgrip strength, gait speed, chair stand and short physical performance battery, to 20.8 % (95 % CI: 18.9 %-23.0 %) when using dual-energy X-ray absorptiometry coupled with muscle strength and physical performance measures. CONCLUSION: This comprehensive systematic review and meta-analysis highlights the substantial burden of sarcopenia among older adults in Asia, underscoring the need for early identification and intervention strategies to mitigate its adverse consequences on public health.

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INTRODUCTION: Sarcopenia is a skeletal muscle disease manifesting as low muscle mass and impaired muscle function. It has been reported that sarcopenia correlates with a low quality of life (QOL) and an increased risk of falls in patients with Parkinson's disease (PD). Nevertheless, few studies have investigated the prevalence, impact, and screening methods of sarcopenia in Japanese patients with PD. METHODS: Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia 2019 consensus. We compared demographic characteristics, severity of PD, levodopa equivalent daily dose, QOL, fatigue, impulsive and compulsive behaviors, body mass index (BMI), calf circumference, skeletal muscle mass index (SMI), handgrip strength, a 4-meter gait speed, a five-time sit-to-stand test (FTSST), short physical performance battery, and SARC-F questionnaire scores between sarcopenia and non-sarcopenia groups. Furthermore, to investigate the best tool for screening sarcopenia in PD, the sensitivity and specificity of calf circumference, handgrip strength, FTSST, and SARC-F questionnaire were compared. RESULTS: The prevalence of sarcopenia in PD was 31.9% (15/47). The sarcopenia group showed significantly higher age (77.3 ± 5.12 versus 70.3 ± 8.17, p = 0.0042), lower BMI (19.3 ± 2.99 versus 23.3 ± 3.18, p = 0.0002), higher rate of decreased calf circumference (86.6% versus 34.3%, p = 0.0013) and SMI (100% versus 6.25%, p < 0.0001), and worse FTSST (15.5 ± 5.57 versus 12.0 ± 4.12, p = 0.0219). The other parameters were not significantly different. Among screening tools, calf circumference had the highest sensitivity (86%) and specificity (65%). All screening tools had higher sensitivity and specificity in men than in women. The SARC-F questionnaire was not useful in distinguishing sarcopenia but was significantly correlated with the Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale Part 3 (r = 0.41, p = 0.0037) and the 39-item Parkinson's Disease QOL Scale (r = 0.71, p < 0.0001). CONCLUSION: This study investigated the characteristics of PD patients with sarcopenia in Japan. Calf circumference was found to be the most useful tool for screening sarcopenia in PD. Handgrip strength and FTSST also showed high sensitivities, particularly in men. Conversely, the SARC-F questionnaire is not suitable for diagnosing sarcopenia in PD.

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Purpose: Muscle ultrasound has emerged as a promising method in the diagnostic work-up of sarcopenia. The objective of this scoping review was to explore the validity of muscle ultrasound against the latest sarcopenia definitions among older adults. Methods: We adhered to the PRISMA guidelines for scoping reviews. A systematic search of databases was performed by two independent reviewers. All articles comparing the performance of ultrasound to an internationally acknowledged sarcopenia definition among older adults (≥60 years) and published between 2019/01/01 (the year updated sarcopenia definitions were introduced) and 2023/11/15 were included. Data were extracted and collated by muscle and muscle parameters. Results: Out of 2290 articles screened, six studies comprising 24 validity tests among a total of 1619 older adults (mean age 74.1 years, 52.2% female) were included. The validity tests investigated the rectus femoris (n = 7), biceps brachii (n = 5), gastrocnemius medialis (n = 4), tibialis anterior (n = 4), soleus (n = 3), and rectus abdominis (n = 1). The parameter muscle thickness (MT) (n = 14) was most commonly measured. The latest European and Asian sarcopenia definitions (EWGSOP2, AWGS2) were applied as reference standards in four validity tests each. None of the studies used the Sarcopenia Definition and Outcome Consortium (SDOC) criteria. The highest area under the curve AUC (0.92, 95% confidence interval [CI] 0.89-0.94) was found for the muscle thickness of the rectus femoris muscle. Due to substantial heterogeneity among the studies, pooling of data using a meta-analytic approach was not feasible. Conclusion: Limited number of studies have examined the validity of muscle ultrasound for diagnosing sarcopenia based on recent definitions among older adults. Thereby, muscle thickness of the rectus femoris showed promising results regarding validity. Further studies are needed to investigate the validity of key muscles and to validate muscle ultrasound among older hospitalized patients.

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The onset of sarcopenia is intimately linked with aging, posing significant implications not only for individual patient quality of life but also for the broader societal healthcare framework. Early and accurate identification of sarcopenia and a comprehensive understanding of its mechanistic underpinnings and therapeutic targets paramount to addressing this condition effectively. This review endeavors to present a cohesive overview of recent advancements in sarcopenia research and diagnosis. We initially delve into the contemporary diagnostic criteria, specifically referencing the European Working Group on Sarcopenia in Older People (EWGSOP) 2 and Asian Working Group on Sarcopenia (AWGS) 2019 benchmarks. Additionally, we elucidate comprehensive assessment techniques for muscle strength, quantity, and physical performance, highlighting tools such as grip strength, chair stand test, dual-energy X-ray Absorptiometry (DEXA), bioelectrical impedance analysis (BIA), gait speed, and short physical performance battery (SPPB), while also discussing their inherent advantages and limitations. Such diagnostic advancements pave the way for early identification and unequivocal diagnosis of sarcopenia. Proceeding further, we provide a deep-dive into sarcopenia's pathogenesis, offering a thorough examination of associated signaling pathways like the Myostatin, AMP-activated protein kinase (AMPK), insulin/IGF-1 Signaling (IIS), and the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathways. Each pathway's role in sarcopenia mediation is detailed, underscoring potential therapeutic target avenues. From a mechanistic perspective, the review also underscores the pivotal role of mitochondrial dysfunction in sarcopenia, emphasizing elements such as mitochondrial oxidative overload, mitochondrial biogenesis, and mitophagy, and highlighting their therapeutic significance. At last, we capture recent strides made in sarcopenia treatment, ranging from nutritional and exercise interventions to potential pharmacological and supplementation strategies. In sum, this review meticulously synthesizes the latest scientific developments in sarcopenia, aiming to enhance diagnostic precision in clinical practice and provide comprehensive insights into refined mechanistic targets and innovative therapeutic interventions, ultimately contributing to optimized patient care and advancements in the field.

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PURPOSE: There is increasing evidence that promoting physical activity can prevent sarcopenia. However, physical activity (PA) decreases with age, and the impact of PA intensity on health is unclear. This study investigated the relationship between the level of PA and sarcopenia, and the association between PA levels and mortality in patients with and without sarcopenia. METHODS: Data were derived from the Korean Longitudinal Study on Health and Aging. PA was classified as sedentary behavior, light PA, or moderate-to-vigorous PA. Each PA level was subdivided based on the median time spent engaged in that activity, yielding eight PA profiles. Logistic regression and Cox proportional hazard models were used to investigate the association between PA level and sarcopenia, and between PA profiles and mortality. RESULTS: This study included 620 participants (50.2% women; mean age 75.7 ± 7.5 years), of whom 130 (21.0%) participants were identified sarcopenia. During follow-up (mean 10.9 ± 4.1 years), 264 (42.6%) participants died. Overall, sarcopenic participants were less physically active than non-sarcopenic participants. After multivariate adjustment, more sedentary behavior and less moderate-to-vigorous PA were associated with sarcopenia and all related variables, except muscle mass. Compared with the reference, non-sarcopenic participants with lower sedentary behavior and concomitantly higher moderate-to-vigorous PA had significantly lower hazard ratios for mortality, while higher light PA reduced mortality in sarcopenic participants regardless of time spent engaged in sedentary behavior or moderate-to-vigorous PA. CONCLUSIONS: PA, especially sedentary behavior and moderate-to-vigorous PA, was associated with sarcopenia and related variables, but the level of PA that prevented death differed according to sarcopenia status. Our findings may help determine the optimal intensity and amount of PA.

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Sarcopenia is associated with numerous adverse health outcomes, including frailty, disability, and mortality. Since the Asian Working Group for Sarcopenia 2019 guidelines, which were published in 2020, are relatively new, studies on the association between sarcopenia as defined by these guidelines and mortality are limited in the Asian region. Accordingly, this study aimed to examine the all-cause mortality risk associated with sarcopenia among community-dwelling older adults in rural Malaysia. This cohort study included 2404 older adults residing in Kuala Pilah District, Negeri Sembilan, Malaysia who were followed up for 83 months. The prevalence rates of sarcopenia and severe sarcopenia were 5.0% and 3.60%, respectively. Older adults with sarcopenia and severe sarcopenia had a 114% (hazard ratio [HR]: 2.14) and 146% (HR: 2.46) increased mortality risk compared with those without sarcopenia (HR: 2.14). Our findings indicate that early intervention is recommended to prevent sarcopenia in older adults.

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Hishikawa N, Sawada K, Shono S, Sakurai M, Yokozeki M, Maeda H, Ohashi S, Ueshima K, Mikami Y. Accurate diagnosis of sarcopenia without using a body composition analyzer in a convalescent rehabilitation ward. Jpn J Compr Rehabil Sci 2023; 14: 26-32. Objective: The Asian Working Group for Sarcopenia 2019 recommends diagnosing sarcopenia without using a body composition analyzer and initiating treatment early. The present study aimed to investigate the accuracy of diagnosing sarcopenia without a body composition analyzer in a convalescent rehabilitation ward. Methods: Eighty-five patients admitted to a convalescent rehabilitation ward were included, and sarcopenia diagnoses were performed with and without a body composition analyzer. To assess the accuracy of diagnosing sarcopenia without using a body composition analyzer, sensitivity, specificity, positive predictive value, and negative predictive value were calculated relative to sarcopenia diagnoses made using a body composition analyzer. Results: The sensitivity of the technique for diagnosing sarcopenia was 0.94, specificity was 0.77, positive predictive value was 0.86, and negative predictive value was 0.90. Conclusion: The accuracy of diagnosing sarcopenia without using a body composition analyzer was high. However, this technique may miss sarcopenia cases in patients with increased calf circumference due to adipose tissue and/or edema.

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OBJECTIVES: To discern the diagnostic accuracy between the updated diagnostic consensus of the Asian Working Group for Sarcopenia (AWGS) in 2019 (AWGS 2019) and the previous AWGS 2014 guidelines. DESIGN: A prospective population-based cohort study. SETTING AND PARTICIPANTS: The study included 731 older community-dwelling adults aged ≥ 65 years who participated in face-to-face interviews and were followed up for 11-year mortality until 31 Mar 2022. MEASUREMENTS: We utilized a handgrip strength dynamometer to measure participants' muscle strength, while their walking speed was determined by a timed 6-meter walk test at their usual pace. Additionally, muscle mass was measured using dual-energy X-ray absorptiometry scanning. Sarcopenia was defined as the presence of low muscle mass in combination with weakness and/or slowness both by AWGS 2014 and 2019 criteria. RESULTS: The present study followed 731 participants (mean age 73.4 ± 5.4 years, men predominant 52.8%) over a period of 11 years, yielding 5927 person-years and 159 deaths. Prevalence of sarcopenia defined by AWGS 2019 and 2014 criteria were 8.5% and 6.8%, respectively. Sarcopenia defined by AWGS 2019 (HR 1.62, 95% CI 1.04-2.54, p=0.034) but not AWGS 2014 was significantly associated with mortality in community-living older adults after adjusting for potential confounders such as age, sex, education, drinking, disease burden and serum level of testosterone. The study also found that the AWGS 2019 criteria had a better model fitness than AWGS 2014 criteria in predicting mortality. CONCLUSION: AWGS 2019 criteria outperformed AWGS 2014 in identifying sarcopenia risk and predicting mortality. Screening for sarcopenia in older adults may improve health outcomes by identifying those at increased mortality risk.

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Objective: This study was designed to establish the cut-off value and diagnostic utility of the Ishii test, which gauges the odds of severe sarcopenia based on the results of an equation based upon age, grip strength, and calf circumference among middle-aged and older adults in Western China. Methods: This study incorporated adults ≥ 50 years of age from the West China Health and Aging Trend (WCHAT) study. Severe sarcopenia was defined as per the Asian Working Group for Sarcopenia: 2019 Consensus (AWGS2019) recommendations, with the odds of severe sarcopenia being estimated with the Ishii test score chart. The diagnostic utility of the Ishii test in this patient cohort was assessed by analyzing its sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the area under the ROC curve (AUC). Results: In total, 4,177 individuals ≥ 50 years of age were included in this study including 2668 females (63.9%) and 1,509 males (36.1%). These included 568 (13.6%) participants affected by severe sarcopenia, of whom 237 were male (15.7%) and 331 were female (12.4%). Optimal Ishii test cut-off values established based on Youden's index were ≥ 114 for males and ≥ 120 for females when using the AWGS2019 reference standard. The sensitivity/specificity/PPV/NPV of the Ishii test when screening for severe sarcopenia were 89.45%/77.15%/0.42/0.98 in males and 90.03%/77.05%/0.36/0.98 in females. The AUC values for the Ishii test in males and females were 0.899 (95% CI, 0.883-0.916) and 0.905 (95% CI, 0.892-0.917), respectively. Conclusion: These data indicate that the Ishii test offers value as a candidate diagnostic test that can be used to screen for severe sarcopenia, with recommended diagnostic cut-off values of ≥ 114 for males and ≥ 120 for females.

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OBJECTIVES: The aim of this study was to investigate the association between changes in depressive symptoms and sarcopenia by repeated measures of depressive symptoms at a follow-up visit every 2 years. DESIGN: Cross-sectional design and longitudinal design. SETTING AND PARTICIPANTS: We conducted a cross-sectional and longitudinal study using data from the China Health and Retirement Longitudinal Study, which is a representative national survey. A total of 12,287 participants were included in Wave 1 (2011-2012) for the cross-sectional analysis, followed by a total of 5285 participants in Wave 2 (2013-2014) and Wave 3 (2015-2016) for the longitudinal analysis based on the cross-sectional analysis. METHODS: Depressive symptoms were measured by the 10-item Center for the Epidemiological Studies of Depression Short Form. Sarcopenia was defined according to the Asian Sarcopenia Working Group criteria (AWGS 2019). Changes in depressive symptoms in Wave 1 and Wave 2 were used as exposure, and sarcopenia in Wave 3 was used as outcome. Cox proportional hazards regression model was used to test the relationship between changes in depressive symptoms and sarcopenia. RESULTS: In cross-sectional analysis, depression was significantly associated with sarcopenia (odds ratio, 1.27; 95% CI, 1.10-1.48). In subsequent longitudinal analyses, a total of 174 sarcopenia events occurred, and those with increased depressive symptoms and persistent depressive symptoms were at higher risk for sarcopenia than those without depressive symptoms, with multivariable-adjusted hazard ratios of 1.65 (95% CI, 1.00-2.73) and 1.68 (95% CI, 1.06-2.68), respectively. CONCLUSIONS AND IMPLICATIONS: People with increased depressive symptoms and persistent depressive symptoms may have a higher risk of developing sarcopenia over time. In the future, more research is needed to confirm the mechanism by which long-term changes in depression contribute to the risk of sarcopenia, and to propose preventive measures accordingly.

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BACKGROUND: Sarcopenia is associated with worse outcomes in maintenance hemodialysis (MHD) patients. Differences in criteria and methods used to diagnose sarcopenia, results in a wide range of prevalence. Factors associated with sarcopenia in MHD have not been well-studied. This study aimed to investigate the prevalence and factors associated with sarcopenia in the MHD population. METHODS: Observational cross-sectional study was done with 96 MHD patients aged ≥18 years old, with dialysis vintage ≥120 days at Cipto Mangunkusumo Hospital March-May 2022. Descriptive, bivariate, and logistic regression analysis were done to find sarcopenia's prevalence and association with Simplify Creatinine Index (SCI), type 2 diabetes (DM), Interleukin-6 (IL-6), nutritional status, physical activity, and phosphate serum level. Asian Working Group for Sarcopenia (AWGS) 2019 criteria used to diagnose sarcopenia, Hand Grip Strength (HGS) to identify muscle strength, Bioimpedance Spectroscopy (BIS) to calculate muscle mass, and 6-meter walk test to evaluate physical performance. RESULTS: The prevalence of sarcopenia was 54.2%. Factors with a significant association in bivariate analysis were phosphate serum level (p=0.008), SCI (p=0.005) and low physical activity (International Physical Activity Questionnaire) (p-0.006). Logistic regression analysis found higher phosphate serum level and high physical activity protective of sarcopenia (OR 0.677;CI95% 0.493-0.93 and OR 0.313;CI95% 0.130-0.755 respectively). CONCLUSION: The prevalence of sarcopenia in the MHD population was 54.2%. Phosphate serum level, SCI, and physical activity were significantly correlated with sarcopenia. Both high phosphate level and high physical activity were protective against sarcopenia.

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Cirrhosis predisposes to abnormalities in energy, hormonal, and immunological homeostasis. Disturbances in these metabolic processes create susceptibility to sarcopenia or pathological muscle wasting. Sarcopenia is prevalent in cirrhosis and its presence portends significant adverse outcomes including the length of hospital stay, infectious complications, and mortality. This highlights the importance of identification of at-risk individuals with early nutritional, therapeutic and physical therapy intervention. This manuscript summarizes literature relevant to sarcopenia in cirrhosis, describes current knowledge, and elucidates possible future directions.

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OBJECTIVES: The diagnostic utility of poor body composition measures in sarcopenia remains unclear. We hypothesize that the skeletal muscle gauge [combination of skeletal muscle index (SMI) and skeletal muscle density (SMD); SMG = SMI × SMD] would have significant diagnostic and predictive value in certain muscle regions and populations. DESIGN: Prospective cross-sectional study. SETTING AND PARTICIPANTS: We examined inpatients age ≥60 years with or without cancer and with gastrointestinal disorders. METHODS: We used computed tomography (CT) image metrics in the 12th thoracic (T12), third lumbar (L3), erector spinae muscle (ESM), and psoas muscle (PM) regions to establish correlations with the 2019 Asian Working Group for Sarcopenia Consensus and used receiver operating characteristic area under the curve (AUC) to compare differences between metrics. Associations between CT metrics and mortality were reported as relative risk after adjustments. RESULTS: We evaluated 385 patients (median age, 69.0 years; 60.8% men) and found consistent trends in cancer (49.6%) and noncancer (50.4%) cohorts. SMG had a stronger correlation with muscle mass than SMD [mean rho: 0.68 (range, 0.59‒0.73) vs 0.39 (range, 0.28‒0.48); all P < .01] in T12, L3, and PM regions and a stronger correlation with muscle function than SMI [mean rho: 0.60 (range, 0.50‒0.77) vs 0.36 (range, 0.22‒0.58); all P < .05] in T12, ESM, and L3 regions. SMG outperformed SMI in diagnostic accuracy in all regions, particularly for L3 (AUC: 0.87‒0.88 vs 0.80‒0.82; both P < .05). PMG (PM gauge) and L3SMG did not differ, whereas EMG (ESM gauge) or T12SMG and L3SMG did (AUC: 0.80‒0.82 vs 0.87‒0.88; all P < .05). L3SMI, L3SMD, T12SMG, EMG, and PMG showed no association with 1-year cancer-related mortality after adjusting for confounders; however, L3SMG [relative risk = 0.92 (0.85‒0.99); P = .023) was. CONCLUSIONS AND IMPLICATIONS: L3SMG covers all features of sarcopenia with more diagnostic value than other metrics, allowing a complete sarcopenia assessment with CT alone and not just in populations with cancer.

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Background: Sarcopenia, which is evaluated based on appendicular skeletal muscle mass (ASM) using dual-energy X-ray absorptiometry and bioelectrical impedance analysis, is a prognostic predictor for adverse outcomes in patients with coronary artery disease (CAD). However, a simple equation for estimating ASM is yet to be validated in clinical practice. Methods: We enrolled 2211 patients with CAD who underwent percutaneous coronary intervention at our hospital between 2010 and 2017. The mean age was 68 years and 81.5 % were men. Patients were divided into 2 groups based on each ASM index (ASMI): low; male < 7.3 and female < 5.0 and high; male ≥ 7.3 and female ≥ 5.0. ASM was calculated using the following equation: 0.193 × bodyweight + 0.107 × height - 4.157 × gender - 0.037 × age - 2.631. Primary endpoints were major adverse cardiac events (MACE, which includes cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, and hospitalization for heart failure), and all-cause mortality. Results: During the median follow-up period of 4.8 years, cumulative incidence of events were significantly higher in the low ASMI group. Cox proportional hazards model revealed that the low ASMI group had a significantly higher risk of primary endpoints than the high ASMI group (all-cause mortality; hazard ratio (HR): 2.13, 95 % confidence interval [CI]: 1.40-3.22, p < 0.001 and 4-point MACE; HR: 1.72, 95 % CI: 1.12-2.62, p = 0.01). Similar trends were observed after stratification by age of 65 years. Conclusion: Low ASMI, evaluated using the aforementioned equation, is an independent predictor of MACE and all-cause mortality in patients with CAD.

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ObjectiveTo obtain the prevalence of sarcopenia in middle-aged and elderly people in Urumqi based on the 2020 updated based on the 2020 updated Consensus Report 2019 of Asian Working Group for Sarcopenia （AWGS2019）， and to further explore the association between sarcopenia and metabolic syndrome （MS）. MethodsA total of 1 438 middle-aged and elderly people （aged≥50 years） in Urumqi from July 2018 to January 2019 were selected as the research subjects. Data were collected by questionnaire survey， physical examination and laboratory test. Skeletal muscle mass，grip strength and 4 m walking speed were used to represent muscle mass， muscle strength and body function， respectively. Bioelectrical impedance analysis （BIA） was used to measure human body components. Based on the diagnostic criteria of sarcopenia recommended by AWGS2019， the prevalence of sarcopenia in people over 50 years old was obtained. Multivariate logistic regression model was used to explore the correlation between sarcopenia and MS in middle-aged and elderly people of different genders. ResultsThere were 194 patients with sarcopenia， with a prevalence of 13.49%. The prevalence was 15.56% in males and 12.12% in females. There was no significant difference in the prevalence of MS between male sarcopenia group （40.45%） and non-sarcopenia group （38.92%）， while the prevalence of MS in female sarcopenia group （39.04%） was higher than that in non-sarcopenia group （27.56%）. Multivariate logistic regression analysis showed that sarcopenia was a related factor of MS. Compared with non-sarcopenia， the risk of MS in male sarcopenia group was higher （OR=2.11，95%CI： 1.15‒3.88 ）. ConclusionSarcopenia increases the risk of MS in middle-aged and elderly people， with a greater risk in men. Fully understanding of sarcopenia is helpful to early identify high-risk groups of MS and prevent the occurrence of MS.

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BACKGROUND: The aim of the study was to investigate a prevalence of sarcopenia in patients with gynecological cancer in accordance with current diagnostic criteria of sarcopenia. METHODS: A series of 513 patients with gynecological cancer who were intended to newly receive initial or salvage treatment were recruited in a prospective study. Eligible patients were examined with dual energy X-ray absorptiometry and underwent handgrip strength test and the Short Physical Performance Battery before treatment. Sarcopenia was defined as both low skeletal muscle mass (skeletal muscle mass index) and low muscle strength (handgrip strength of <18.0 kg) or both low skeletal muscle mass index and low physical performance (Short Physical Performance Battery score of ≤9). RESULTS: A total of 475 patients (92.6%) were completely assessed in this study. Eligible patients' median age was 60 years (range: 29-89 years). Frequencies of patients with low skeletal muscle mass index, low hand grip strength and low Short Physical Performance Battery were 118 (24.8%), 70 (14.7%) and 80 (16.8%), respectively. Sarcopenia was finally identified in 45 patients (9.5%), which accounted for 38.1% of patients with low skeletal muscle mass index, 64.3% of the patients with low hand grip strength and 56.3% of the patients with low physical performance, respectively. CONCLUSIONS: The prevalence of sarcopenia of 9.5% in patients with gynecological malignancy who were scheduled to newly receive an initial or a salvage treatment. A large-scale, nation-wide study might be planned to elucidate an accurate prevalence of sarcopenia among gynecologic cancer patients.

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Sarcopenia is an adverse prognostic factor for diffuse large B-cell lymphoma. A case of diffuse large B-cell lymphoma whose diagnosis, severity, and therapeutic effect of sarcopenia were difficult to determine owing to lymphoma cell infiltration into the psoas major and femoral bone marrow is reported. At presentation, the cross-sectional area of left psoas major at L3 was enlarged owing to lymphoma cell infiltration; thus, sarcopenia evaluation was impossible by L3 skeletal muscle index. The patient was bedridden; thus, sarcopenia evaluation was impossible by the Asian Working Group for Sarcopenia 2019 consensus diagnostic criteria at presentation. At the terminal stage, she could not walk due to bilateral anterior thigh pain caused by lymphoma infiltration into femoral marrow; thus, sarcopenia evaluation was impossible by the Asian Working Group for Sarcopenia 2019 consensus diagnostic criteria. Although the L3 skeletal muscle index and the Asian Working Group for Sarcopenia 2019 consensus diagnostic criteria are representative sarcopenia evaluation systems, they cannot be used to evaluate sarcopenia in some diffuse large B-cell lymphoma patients.

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Purpose: Sarcopenia is closely associated with postoperative prognosis in patients undergoing cardiovascular surgery. Growth differentiation factor (GDF)-15 is involved in the pathogenesis of cardiovascular disease. We examined the relationship between the serum GDF-15 concentration and muscle function in patients receiving aortic valve replacement and healthy elderly subjects. Methods: Forty-three female patients undergoing aortic valve surgery (79.9 ± 6.4 years; transcatheter aortic valve replacement [TAVR] n = 19, conventional surgical aortic valve replacement [SAVR] n = 24) and 64 healthy elderly female subjects (75.9 ± 6.1 years) were included. Walking speed, grip strength, and skeletal muscle mass index (SMI) by a multifrequency bioelectrical impedance analyzer were measured to determine the presence of sarcopenia. Preoperative serum GDF-15 concentration was measured by enzyme-linked immunosorbent assay. Results: The GDF-15 level was higher in patients receiving aortic valve replacement than in healthy elderly subjects (aortic valve replacement: 1624 ± 1186 pg/mL vs. healthy: 955 ± 368 pg/mL, p < 0.001). Multivariate linear regression analysis showed that the serum GDF-15 level determined grip strength independently of the high-sensitivity C-reactive protein level and eGFR, even after adjusting for age (ß = -0.318, p = 0.025). Sarcopenia was found in 12.5% of healthy elderly subjects, 83.3% of patients with TAVR, and 64.3% of patients with SAVR. The GDF-15 concentration that defined sarcopenia was 1109 pg/mL in subjects including patients receiving aortic valve replacement. Conclusions: The preoperative serum GDF-15 concentration, which was higher in female patients receiving aortic valve replacement than in healthy elderly subjects, may be a serum marker of sarcopenia.

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Background: Malnutrition and sarcopenia are frequently observed in patients undergoing maintenance hemodialysis (MHD). To elucidate whether malnutrition is associated with sarcopenia in those cases, the relationship of nutritional status with sarcopenia was investigated. Methods: Nutritional status was assessed using a nutritional risk index (NRI) developed for patients undergoing MHD. This retrospective cross-sectional study included 315 MHD patients (199 males, 116 females), who were divided into low-risk (score 0-7) and medium-/high-risk (score 8-13) groups. Sarcopenia and severe sarcopenia, along with low muscle mass, low muscle strength, and low physical performance were defined using the Asian Working Group for Sarcopenia 2019 criteria. Results: The median NRI score was 5.0, while the prevalence of medium-/high-risk cases among the patients was 31.1%. Additionally, the rates of those with low muscle mass, low muscle strength, and low physical performance were 55.9, 60.6, and 31.4%, respectively, while those of sarcopenia and severe sarcopenia were 44.1 and 20.0%, respectively. Multivariable logistic regression analyses revealed a significant (P < 0.001) association of NRI score with sarcopenia [odds ratio (OR) 1.255, 95% confidence interval (CI) 1.143-1.377] and severe sarcopenia (OR 1.257, 95% CI 1.122-1.407), as well as low muscle mass (OR 1.260, 95% CI 1.157-1.374), low muscle strength (OR 1.310, 95% CI 1.178-1.457), and low physical performance (OR 1.216, 95% CI 1.104-1.339). Furthermore, medium-/high-risk status showed a significant (P < 0.05) association with sarcopenia (OR 2.960, 95% CI 1.623-5.401) and severe sarcopenia (OR 2.241, 95% CI 1.151-4.362), as well as low muscle mass (OR 2.141, 95% CI 1.219-3.760), low muscle strength (OR 7.665, 95% CI 3.438-17.091), and low physical performance (OR 2.570, 95% CI 1.401-4.716). Conclusions: These results suggest that malnutrition contributes to sarcopenia/severe sarcopenia in MHD patients by reducing muscle mass and strength, and physical performance.