Rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) therapy decreases lean body mass and appendicular skeletal muscle mass index even until one year after the final treatment in patients with B-cell non-Hodgkin lymphoma.

Sarcopenia is an independent prognostic factor for several solid cancers, including B-cell non-Hodgkin lymphoma (B-NHL). However, previous reports have measured the parameters of loss of skeletal muscle as sarcopenia only once before chemotherapy and have predicted poor outcomes. In this study, changes in body composition were measured in patients who received rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) therapy for B-NHL using the InBody 720 analyzer throughout the therapy. Twenty-seven patients who achieved complete remission and survived for one year after the last cycle were included in the study. Body composition was evaluated immediately before initiation and fourth cycle, and one month and one year after the last cycle. Throughout the follow-up period, the lean body mass index (LBMI) and appendicular skeletal muscle mass index (ASMI) showed significant transient decreases even one year following the last cycle (p < 0.001, p = 0.002, respectively). Body fat index (BFI) and body fat percentage (BF%) decreased until one month after the last cycle; however, they reached levels higher than the baseline levels, +22.1% and +15.9%, respectively, at 1 year from the last cycle. The loss of skeletal muscle mass did not recover even one year after the last cycle. Interventions in nutritional management are needed to prevent sarcopenia in patients treated with R-CHOP therapy.

Home-Based Trimodal Prehabilitation in Patients with Peritoneal Carcinomatosis Undergoing Cytoreductive Surgery: Effect on Functional Walking Capacity and Skeletal Muscle Mass.

BACKGROUND: Patients with peritoneal carcinomatosis often suffer from loss of skeletal muscle mass and require extensive surgery. Multimodal prehabilitation may improve physical status but its benefits for these specific patients remain unknown. This study aimed to evaluate the effect of prehabilitation on functional walking capacity and skeletal muscle mass, as well as its association with postoperative complications. PATIENTS AND METHODS: A prospective study of patients with peritoneal carcinomatosis following a home-based trimodal prehabilitation program was carried out. Functional walking capacity was assessed with the 6-min walk test (T6MWT), and by the appendicular skeletal muscle index (ASMI) estimated by bioelectrical impedance analysis. Data were collected at the first medical appointment and on the day before surgery. A 90-day postoperative morbidity was registered according to the Clavien-Dindo classification. RESULTS: A total of 62 patients were included in the analysis. Women were more prevalent (77.4%) and peritoneal metastasis from ovarian origin accounted for 48.4%. Clavien II-V grades occurred in 30 (57.7%) patients. After prehabilitation, functional walking capacity improved by 42.2 m (39.62-44.72 m) compared with baseline data (p < 0.001), but no improvement was observed in the ASMI (p = 0.301). Patients able to walk at least 360 m after prehabilitation suffered fewer Clavien-Dindo II-V postoperative complications (p = 0.016). A T6MWT of less than 360 m was identified as an independent risk factor in the multivariable analysis (OR 3.99; 1.01-15.79 p = 0.048). CONCLUSIONS: This home-based trimodal prehabilitation program improved functional walking capacity but not ASMI scores in patients with peritoneal metastasis before surgery. A T6MWT of less than 360 m was found to be a risk factor for postoperative complications.

Establishment and Validation of a Predictive Model for Sarcopenia Based on 2-D Ultrasound and Shear Wave Elastography in the Medial Gastrocnemius Muscle.

OBJECTIVE: To develop and validate a predictive model for sarcopenia. METHODS: A total of 240 subjects who visited our hospital between August 2021 and May 2023 were randomly divided by time of entry into a training set containing 2/3 of patients and a validation set containing 1/3 of patients. The muscle thickness (MT), echo intensity (EI), and shear wave velocity (SWV) of the medial gastrocnemius muscle were measured. Indicators that were meaningful in the univariate analysis in the training set were included in a binary logistic regression to derive a regression model, and the model was evaluated using a consistency index, calibration plot, and clinical validity curve. Diagnostic efficacy and clinical applicability were compared between the model and unifactorial indicators. RESULTS: Four meaningful variables, age, body mass index (BMI), MT, and SWV, were screened into the predictive model. The model was Logit Y = 21.292 + 0.065 × Age - 0.411 × BMI - 0.524 × MT - 3.072 × SWV. The model was well differentiated with an internally validated C-index of 0.924 and an external validation C-index of 0.914. The calibration plot predicted probabilities against actual probabilities showed excellent agreement. The specificity, sensitivity, and Youden's index of the model were 73.80%, 97.40%, and 71.20%, respectively, when using the diagnostic cut-off value of >0.279 for sarcopenia. The logistic model had higher diagnostic efficacy (p < 0.001) and higher net clinical benefit (p < 0.001) over the same threshold range compared to indicators. CONCLUSION: The logistic model of sarcopenia has been justified to have good discriminatory, calibrated, and clinical validity, and has higher diagnostic value than indicators.

Comparative analysis of Sarcopenia in hospitalized elderly: exploring the impact of liver cirrhosis.

The progressive aging of the population has led to a rise in geriatric pathologies, with sarcopenia, characterized by muscle mass and function loss, becoming a crucial prognostic indicator. This study investigates sarcopenia in elderly hospitalized patients with advanced chronic liver disease (cirrhotic) and non-liver disease patients, comparing their prevalence and exploring correlations with anthropometric and biochemical factors. The cohort of 115 patients, including 50 cirrhotic and 65 non-cirrhotic individuals, exhibited significant comorbidities and a mean age of 78.4 years. Cirrhotic patients presented distinct laboratory parameters indicating liver damage. Applying European Working Group on Sarcopenia in Older People criteria, probable sarcopenia prevalence was similar in cirrhotic (62%) and non-cirrhotic (63%) patients. Stratifying probable sarcopenia into confirmed sarcopenia and dynapenia revealed no significant differences between populations. Correlation analyses demonstrated positive associations between Appendicular Skeletal Muscle Mass (ASM) and anthropometric parameters, malnutrition risk, and grip strength. In cirrhotic patients, muscle mass inversely correlated with liver damage. Odds ratio analysis highlighted the Mini Nutritional Assesment's (MNA) significant predictive capability for sarcopenia. ROC curve analysis affirmed MNA and biochemical markers' combined use, such as transferrin, albumin, total cholesterol, lymphocyte count and C-reactive protein as a strong predictor. Despite limitations, such as a small sample size, this study underscores the significance of thorough sarcopenia screening in elderly hospitalized patients, especially those with cirrhosis. Indeed, individuals with end-stage liver disease are particularly susceptible to sarcopenia. A more personalized approach utilizing tools like MNA and biochemical markers could prove beneficial. Further research is warranted to validate these findings and inform clinical interventions.

Appendicular Muscle Mass Index as the Most Important Determinant of Bone Mineral Content and Density in Small for Gestational Age Children.

Preterm small for gestational age (SGA) children are at increased risk for low bone mineral content later in life; however, data on SGA children born at term are scarce. We included 44 SGA and 57 adequate for gestational age (AGA) children aged 6 to 11 years to compare bone mineral density (BMD) and bone mineral content (BMC) and to identify which anthropometric and biochemical values influence bone mineralization in these children. Fat mass, appendicular skeletal muscle mass index (ASMMI), BMC, and BMD were significantly lower in SGA children than in AGA (P ≤ .005). Appendicular muscle mass index correlated with BMC(TBLH,FN,L1-L4) and BMD(TBLH,FN,L1-L4) in both groups (r2 = 0.7, P < .05). In multivariate analysis, ASMMI was strongly associated with BMC and BMD in both groups. There were no differences in clinical biomarkers, calcium intake, and physical activity between the groups. Achieving adequate muscle mass contributes to adequate bone mineralization and a lower risk for low BMC and BMD in SGA children.

Distribution of daily protein intake and appendicular skeletal muscle mass in healthy free-living Chinese older adults.

AIMS: Evidence regarding impact of protein intake distribution on skeletal muscle mass in older adults is limited and inconsistent. This study aims to investigate the relationship of evenness of dietary protein distribution and number of meals exceeding a threshold with appendicular skeletal muscle mass (ASM) in healthy and free-living Chinese older adults. METHODS: Repeated measured data of 5689 adult participants aged ≥ 60 years from the China Health and Nutrition Survey (CHNS) 2015 and 2018 waves were analyzed. Mixed-effects linear regression model was performed to examine the relationship between coefficient of variance (CV) of protein intake across meals, number of meals ≥ 0.4 g protein/kg BW and ASM, respectively. Analyses were conducted separately for male and female. RESULTS: The average CV of protein intake in each wave was in the range of 0.34-0.35. More than 40% male and female participants in each wave had no meal reaching 0.4 g protein/kg BW. Female participants in the highest quartile of protein intake CV had significantly lower ASM (ß = -0.18, 95%CI = -0.32, -0.04) compared with those in the lowest quartile, after adjustment for multiple confounders. Significant negative trends were observed across dietary protein CV quartiles with ASM both in male (P trend = 0.043) and female (P trend = 0.007). Significant positive association between number of meals exceeding 0.4 g protein /kg BW and relative ASM were observed in females (2 meals vs. 0 meal: ß = 0.003, 95%CI = 0.0007,0.006;≥3 meals vs. 0 meal: ß = 0.008, 95%CI = 0.003,0.013), after adjusting for multiple covariates. CONCLUSIONS: A more even-distributed protein intake pattern and more meals reaching protein intake threshold were respectively associated with higher appendicular skeletal muscle mass in healthy and free-living older Chinese adults. Prospective studies and intervention trials are needed to confirm these cross-sectional findings.

Novel equations incorporating the sarcopenia index based on serum creatinine and cystatin C to predict appendicular skeletal muscle mass in patients with nondialysis CKD.

BACKGROUND & AIMS: Skeletal muscle mass measurements are important for customizing nutritional strategies for patients with chronic kidney disease (CKD). The serum creatinine-to-cystatin C ratio (Cr/CysC) is a potential indicator of sarcopenia. We developed simple equations to predict the appendicular skeletal muscle mass (ASM) of patients with CKD using readily available parameters and Cr/CysC. METHODS: Overall, 573 patients with nondialysis CKD stages 3-5 were included for developing and validating the equations. The participants were randomly divided into development and validation groups in a 2:1 ratio. ASM was measured using the Body Composition Monitor (BCM), a multifrequency bioelectrical impedance spectroscopy device. The height, weight, anthropometric data, and handgrip strength (HGS) of the participants were obtained. Equations were generated using stepwise multiple linear regression models. The prognostic significance of the predicted ASM was evaluated in a CKD registry comprising 1043 patients. RESULTS: The optimal equation without anthropometric data and HGS (Equation 1) was as follows: ASM (kg) = -7.949 - 0.049 × Age (years) - 2.213 × Woman + 0.090 × Height (cm) + 0.210 × Weight (kg) + 1.141 × Cr/CysC. The modified equation (Equation 2) with anthropometric data and HGS was as follows: ASM (kg) = -4.468 - 0.050 × Age (years) - 2.285 × Woman+ 0.079 × Height (cm) + 0.228 × Weight (kg) - 0.127 × Mid-arm muscular circumference (cm) + 1.127 × Cr/CysC. Both equations exhibited strong correlations with the ASM measured via BCM in the validation cohort (r = 0.944 and 0.943 for Equations 1 and 2, respectively) with minimal bias. When Equation 1 was applied to the CKD registry, the estimated ASM index (ASM/Height2) significantly predicted overall mortality over a median of 54 months. CONCLUSIONS: Novel ASM equations offer a simple method for predicting skeletal muscle mass and can provide valuable prognostic information regarding patients with nondialysis CKD.

Predicted Body Composition Against COVID-19: A Potential Digital Health Strategy.

This study focused on the associations between predicted lean body mass index (LBMI), appendicular skeletal muscle mass index (ASMI), and body fat mass index (BFMI) with the 2019 coronavirus disease (COVID-19). A nationwide population-based non-underweight cohort of 2,037,714 participants underwent two consecutive biennial health screening examinations, with changes in predicted body composition indices estimated using a multivariable-adjusted logistic regression model. Increased LBMI and ASMI were associated with a lower COVID-19 risk among men who became obese. In COVID-19 patients, increased LBMI, ASMI, and BFMI were associated with a higher risk of extracorporeal membrane oxygenation among obese men.

Sarcopenia prognosis using dual-energy X-ray absorptiometry and prediction model in older patients with heart failure.

AIMS: This study aimed to determine whether there is a difference in the prognostic value of sarcopenia diagnosed using dual-energy X-ray absorptiometry (DEXA) and that predicted by prediction equations in older patients with heart failure (HF). METHODS AND RESULTS: We included 269 patients (aged ≥65 years) who were hospitalized for HF. We used two appendicular skeletal muscle mass (ASM) prediction equations: (i) Anthropometric-ASM, including age, sex, height, and weight, and (ii) Predicted-ASM, including sex, weight, calf circumference, and mid-arm circumference. ASM index (ASMI) was calculated by dividing the sum of the ASM in the extremities by the height squared (kg/m2). The cut-off values proposed by the Asian Working Group for Sarcopenia 2019 were used to define low ASMI. The prognostic endpoint was all-cause mortality. The median age of the cohort was 83 years [interquartile range (IQR): 75-87], and 135 patients (50.2%) were men. Sarcopenia diagnosed according to DEXA, Anthropometric measurements, and Predicted-ASM was observed in 134 (49.8%), 171 (63.6%), and 157 (58.4%) patients, respectively. During the median follow-up period of 690 days (IQR: 459-730), 54 patients (19.9%) died. DEXA-sarcopenia [hazard ratio (HR), 2.33; 95% confidence interval (CI), 1.26-4.31; P = 0.007] was associated with all-cause mortality after adjusting for pre-existing risk factors, whereas Predicted-sarcopenia (HR, 1.68; 95% CI, 0.87-3.25; P = 0.123) and Anthropometric-sarcopenia (HR, 1.64; 95% CI, 0.86-3.12; P = 0.132) were not. CONCLUSIONS: Sarcopenia diagnosed using DEXA was associated with poor prognosis in older patients with HF; however, the prediction equations were not.

Prevalence of and risk factors for sarcopenia in community-dwelling people: The Vietnam Osteoporosis Study.

BACKGROUND: Sarcopenia is a geriatric disease characterized by the progressive and generalized loss of skeletal lean mass and strength with age. The prevalence of sarcopenia in the Vietnamese population is unknown. This study sought to estimate the prevalence of and risk factors for sarcopenia among community-dwelling individuals in Vietnam. METHODS: This cross-sectional study is part of the ongoing Vietnam Osteoporosis Study project. The study involved 1308 women and 591 men aged 50 years and older as at 2015 (study entry). Whole-body dual-energy X-ray absorptiometry was used to measure the appendicular skeletal lean mass. Anthropometric and clinical data were collected using a structured questionnaire. Sarcopenia was defined according to the criteria proposed by the Asian Working Group for Sarcopenia in 2019. Logistic regression analysis was used to determine the association between potential risk factors and sarcopenia. RESULTS: The prevalence of sarcopenia in women and men was 14% (n = 183) and 16% (n = 83), respectively. Age (odds ratio [OR] per 10 years = 1.37; 95% confidence interval [CI] 1.26-1.48) and being underweight (OR = 1.61; 95% CI 1.00-2.58) were independently associated with increased risk of sarcopenia. The combination of low physical activity, being underweight and advancing age accounted for ~27% of sarcopenic patients. However, most of the attributable fraction was due to ageing. CONCLUSIONS: Sarcopenia is common in community-dwelling Vietnamese adults, particularly those with advancing age, who are underweight and with low physical activity.

Pre-transplant phase angle as a potential marker for predicting the development of infection after allogeneic hematopoietic stem cell transplantation.

BACKGROUND & AIMS: Nutritional assessment in allogeneic hematopoietic stem cell transplantation (allo-HSCT) is important and decreased skeletal muscle mass is a risk factor for the development of infection. Recently, it has become clear that qualitative rather than skeletal muscle mass loss is a marker that reflects post-transplant outcome, but its association with the development of infection remains unclear. Therefore, we assessed skeletal muscle status by body composition using bioelectrical impedance analysis (BIA) and investigated its association with the development of infection. METHODS: A retrospective cohort study was conducted to assess the quantity as well as quality of skeletal muscle using the body composition of BIA assessment. The quantitative (appendicular skeletal muscle mass index; ASM) and qualitative (phase angle; PhA) indicators of skeletal muscle calculated from body composition analysis were used to determine factors influencing the development of infection after allo-HSCT. RESULTS: In total, 80 adult patients, aged 20-70 years (median, 52) were included in this study. The ASM was mildly decreased after allo-HSCT and PhA was significantly decreased. Furthermore, low pre-transplant PhA was identified as an independent risk factor for the development of infection early after transplantation, with a cutoff value of 4.9°. CONCLUSION: In particular, pre-transplant PhA may predict the development of infection early after allo-HSCT, and muscle indices that can be assessed with pre-transplant body composition are a useful evaluation method that can discriminate post-transplant outcomes.

Dietary protein intake and changes in muscle mass measurements in community-dwelling middle-aged and older adults: A prospective cohort study.

BACKGROUND & AIMS: Increasing dietary protein intake can be an efficient strategy to prevent sarcopenia. Nevertheless, due to the discrepancy in the population and their dietary pattern, evidence suggested the effects of dietary protein amount or source on sarcopenia prevention varies. This prospective cohort study investigated the correlation between dietary protein intakes or sources and changes in muscle mass measurements. Additionally, the study explored the link between dietary protein and the prevalence of sarcopenia. METHODS: Participants aged 40 to 75 were from Guangzhou Nutrition and Health Study (GNHS) 2011-2013 and returned in 2014-2017. Validated 79-item food frequency questionnaires were applied to calculate the amount of total, animal, and plant protein intakes and animal-to-plant protein ratio (APR). The body composition was examined by dual-energy x-ray absorptiometry (DXA) to calculate the appendicular lean mass (ALM) and its index (ASMI). Sarcopenia was diagnosed based on the 2019 Asia Working Group of Sarcopenia's criteria. ANCOVA was utilized to compare the differences of Δ ALM and Δ ASMI across the quartiles of the dietary protein, and linear regression was employed to examine dose-response associations. Multilinear mixed-effect models were employed to evaluate whether protein intake relates to annual changes in ALM and ASMI. Multivariable logistic regressions were performed to analyze the associations between dietary protein and sarcopenia. RESULTS: In total, 2709 participants during the 3.2-year follow-up period were considered eligible for analysis. Higher dietary protein intakes (total, animal, plant) in both sexes could preserve more ALM and ASMI in a dose-response manner (all P-trend < 0.05). The annual estimated preservations of ASMI were greater in the highest dietary protein intakes (total, animal, plant) quartile than the lowest (0.05-0.13 kg/m2/y, all P < 0.05). In women, the risk of sarcopenia was reduced by 35%-50 % in the highest protein intake (total, animal, plant) quartile than the lowest. The APR did not display any significant associations. CONCLUSIONS: Higher dietary protein intake, regardless of animal or plant sources, is associated with less muscle loss and a lower prevalence of sarcopenia in middle-aged and older Chinese, particularly women. GOV IDENTIFIER: NCT03179657.

Diabetes mellitus, malnutrition, and sarcopenia: The bond is not explained by bioelectrical impedance analysis in older adults.

As people age, their risk of diabetes mellitus (DM) and sarcopenia increases due to the decline in muscle mass and strength. Bioelectrical impedance analysis (BIA) is a method used to detect changes in body composition. The primary aim of the study was to determine the distribution of BIA variables among a group of non-DM people and two groups of patients with controlled and uncontrolled DM. The secondary aim was to establish the independent association between BIA-derived data, lipidic assets, and the prevalence of metabolic syndromes with DM. This study included a total of 235 participants who were categorized into three groups based on the presence of diabetes mellitus (DM) and their glycated hemoglobin (HbA1c) levels: non-DM, controlled DM (HbA1c≤7.0%), and uncontrolled DM (HbA1c>7.0%). Waist circumference (p=0.005), bone (p<0.001), muscular (p<0.001), and appendicular skeletal mass (p<0.001) were lower in the non-DM group, while sarcopenic risk (p<0.001), total cholesterol (p<0.001), and LDL (p<0.001), were higher. Grip strength (p<0.001), visceral fat (p=0.01), and phase angle (p=0.04) were significantly lower in non-DM than uncontrolled DM patients, as well as the number of drugs taken (p=0.014). A multivariate analysis highlighted that LDL (coefficient -0.006, p=0.01) was negatively associated, while bone mass (coefficient 0.498, p=0.0042) was positively associated with DM uncontrol. Our study shows that BIA may not be the ideal tool for distinguishing between elderly individuals with and without DM, as it can be affected by numerous covariates, including potential differences in glucometabolic and cardiovascular control.

Characteristics of Age Classification into Five-Year Intervals to Explain Sarcopenia and Immune Cells in Older Adults.

Background and Objectives: This study focused on investigating sarcopenic factors and immune cells in older adulthood. To achieve this, the variables related to sarcopenia and immune cells in people living in the same community were analyzed. Materials and Methods: A total of 433 elderly individuals aged 61 to 85 years were randomly categorized as follows in 5-year intervals: 68 in the youngest-old group (aged 61-65), 168 in the young-old group (aged 66-70), 127 in the middle-old group (aged 71-75), 46 in the old-old group (aged 76-80), and 19 in the oldest-old group (aged 81-85). Results: With the progression of age, calf circumference (-8.4 to -11.05%; p = 0.001) and grip strength (-9.32 to -21.01%; p = 0.001) exhibited a noticeable reduction with each successive 5-year age bracket. Conversely, the capability to complete the five-time chair stand demonstrated a clear incline (32.49 to 56.81%; p = 0.001), starting from the middle-aged group. As for appendicular skeletal muscle mass, there was an evident tendency for it to decrease (-7.08 to -26.62%; p = 0.001) with increasing age. A gradual decline in natural killer cells became apparent within the old-old and oldest-old groups (-9.28 to -26.27%; p = 0.001). The results of the post hoc test revealed that CD3 T cells showcased their peak levels in both the youngest-old and young-old groups. This was followed by the middle-old and old-old groups, with slightly lower levels. This pattern was similarly observed in CD4 T cells, CD8 T cells, and CD19 B cells. Conclusions: This study reaffirmed that sarcopenia and immune cell function decline with each successive 5-year increase in age. Considering these findings, the importance of implementing programs aimed at ensuring a high-quality extension of life for the elderly is strongly underscored.

Development and validation of equations for predicting appendicular skeletal muscle mass in male patients with head and neck cancer and normal hydration status.

OBJECTIVE: Muscle mass is typically assessed by abdominal computed tomography, magnetic resonance imaging, and dual-energy x-ray absorptiometry. However, these tests are not routinely performed in patients with head and neck cancer (HNC), making sarcopenia assessment difficult. The aim of this study was to develop and validate equations for predicting appendicular skeletal muscle mass (ASM) from data obtained in daily medical practice, with bioelectrical impedance analysis (BIA)-measured appendicular skeletal muscle mass (BIA-ASM) as a reference. METHODS: This cross-sectional study included 103 men with HNC who were randomly placed into development and validation groups. The prediction equations for BIA-ASM were developed by multiple regression analysis and validated by Bland-Altman analyses. The estimated skeletal muscle mass index (eSMI) was also statistically evaluated to discriminate the cutoff value for BIA-measured SMI according to the Asian Working Groups for Sarcopenia. RESULTS: Two practical equations, which included 24-h urinary creatinine excretion volume (24hUCrV), handgrip strength (HGS), body weight (BW), and body height (BHt), were developed: ASM (kg) = -39.46 + (3.557 × 24hUCrV [g]) + (0.08872 × HGS [kg]) + (0.1263 × BW [kg]) + (0.2661 × BHt [cm]) if available for 24hUCrV (adjusted R2 = 0.8905), and ASM (kg) = -42.60 + (0.1643 × HGS [kg]) + (0.1589 × BW [kg]) + (0.2807 × BHt [cm]) if not (adjusted R2 = 0.8589). ASM estimated by these two equations showed a significantly strong correlation with BIA-ASM (R > 0.900). Bland-Altman analyses showed a good agreement, and eSMI accuracy was high (>80%) in both equations. CONCLUSIONS: These two equations are a valid option for estimating ASM and diagnosing sarcopenia in patients with HNC in all facilities without special equipment.

Appendicular Skeletal Muscle Mass Index Level (ASMI) and Its Influencing Factors in Healthy Adult Males.

Background: We aimed to retrospectively analyze the level of appendicular skeletal muscle mass index (ASMI) in adult males and its influencing factors for early screening and intervention of sarcopenia. Methods: From January 2020 to December 2021, adult male medical examiners from the Health Management Center of the Affiliated Hospital of North Sichuan Medical College, Chengdu City, China were selected as the research subjects. The ASMI level was measured by bioelectrical impedance (BIA) method. The subjects were divided into four groups according to the quartiles of ASMI level, the levels of related indicators between the groups were compared, and the related factors affecting the ASMI level were analyzed. Results: The detection rate of sarcopenia was about 1.09% (78/7187). One-way ANOVA or nonparametric test results showed that age, BMI, WHR, SBP, DBP, FPG, HbA1c, AST, ALT, GGT, Cr, UA, TG, TC, HDLC, LDL-C and FT3 levels were significantly different among the four ASMI groups (P<0.05). ASMI was positively correlated with BMI, WHR, SBP, DBP, FPG, HbA1c, AST, ALT, GGT, Cr, UA, TG, TC, LDL-C, FT3, and TSH (all P<0.05); negatively correlated with age and HDL-C (all P<0.05). Age, WHR and TG were independent risk factors for ASMI level, and BMI was an independent protective factor for ASMI level. Conclusion: The ASMI level in healthy adult males is related to age, obesity, blood pressure, glucose and lipid metabolism disorder, inflammation and thyroid hormone, among which age, BMI, WHR and TG are independent influencing factors of ASMI level.

Two Older Hematological Malignancy Patients for Whom Nutrition Rehabilitation Was Effective Against Global Leadership Initiative on Malnutrition-Defined Malnutrition and Sarcopenia.

The long-term survival rate of hematological malignancy patients with Global Leadership Initiative on Malnutrition (GLIM)-defined malnutrition and sarcopenia is poor, but nutritional rehabilitation effects in such patients are unknown. Here, two cases of older hematological malignancy patients in whom nutritional rehabilitation was effective against GLIM-defined malnutrition and sarcopenia are reported. By undergoing nutritional rehabilitation, the myeloma patient increased her six-meter walking speed and her maintained body mass index (BMI), appendicular skeletal muscle mass (ASM), and hand grip strength, whereas the Hodgkin lymphoma patient regained his hand grip strength and maintained his BMI, ASM, and six-meter walking speed.

A more accurate method to estimate muscle mass: A new estimation equation.

BACKGROUND: Measurement of muscle mass is important in the diagnosis of sarcopenia. Current measurement equipment are neither cost-effective nor standardized and cannot be used in a variety of medical settings. Some simple measurement tools have been proposed that are subjective and unvalidated. We aimed to develop and validate a new estimation equation in a more objective and standardized way, based on current proven variables that accurately reflect muscle mass. METHODS: Cross-sectional analysis with The National Health and Nutrition Examination Survey database for equation development and validation. Overall, 9875 participants were included for development (6913 participants) and validation (2962 participants), for whom the database included demographic data, physical measurements, and main biochemical indicators. Appendicular skeletal muscle mass (ASM) was estimated by dual-energy x-ray absorptiometry (DXA) and low muscle mass was defined by reference to five international diagnostic criteria. Linear regression was used to estimate the logarithm of the actual ASM from demographic data, physical measurements, and biochemical indicators. RESULTS: This study of 9875 participants comprised 4492 females (49.0%), with a weighted mean (SE) age of 41.83 (0.36) years and range of 12 to 85 years. The estimated ASM equations performed well in the validation data set. The variability in estimated ASM was low compared with the actual ASM (R2 : Equation 1 = 0.91, Equation 4 = 0.89), with low bias (median difference: Equation 1 = -0.64, Equation 4 = 0.07; root mean square error: Equation 1 = 1.70 [1.69-1.70], Equation 4 = 1.85 [1.84-1.86]), high precision (interquartile range of the differences: Equation 1 = 1.87, Equation 4 = 2.17), and high efficacy in diagnosing low muscle mass (area under the curve: Equation 1 = 0.91 to 0.95, Equation 4 = 0.90 to 0.94). CONCLUSIONS: The estimated ASM equations are accurate and simple and can be routinely applied clinically to estimate ASM and thus assess sarcopenia.

Favorable Appendicular Skeletal Muscle Mass Changes in Older Patients With Type 2 Diabetes Receiving GLP-1 Receptor Agonist and Basal Insulin Co-Therapy.

Background And Aims: Maintaining appendicular skeletal muscle mass is important for maintaining the quality of life of elderly patients with type 2 diabetes. The possibility of GLP-1 receptor agonists for maintaining appendicular skeletal muscle mass has previously been reported. We investigated changes in appendicular skeletal muscle mass, measured by body impedance analysis, in elderly patients who were hospitalized for diabetes self-management education. Methods: The study design was a retrospective longitudinal analysis of the changes in appendicular skeletal muscle mass in hospitalized patients over the age of 70 years. The study subjects consisted of consequential patients who received GLP-1 receptor agonist and basal insulin co-therapy or received basal insulin therapy. Body impedance analysis was performed on the day after admission and on the ninth day of admission. All patients received standard diet therapy and standard group exercise therapy 3 times per week. Results: The study subjects consisted of 10 patients who received GLP-1 receptor agonist and basal insulin co-therapy (co-therapy group) and 10 patients who received basal insulin (insulin group). The mean change in appendicular skeletal muscle mass was 0.78 ± 0.7 kg in co-therapy group and -0.09 ± 0.8 kg in the insulin group. Conclusions: This retrospective observational study suggests the possibility of favorable effects of GLP-1 receptor agonist and basal insulin co-therapy for maintaining appendicular skeletal muscle mass during hospitalization for diabetes self-management education.