Value Of Skeletal Muscle Mass Research Articles

Normative values of skeletal muscle mass, strength and performance in the Indian population.

Skeletal muscle is characterized by its mass, strength and performance. These normative values are pivotal in defining sarcopenia. Sarcopenia is associated with poor outcome of numerous medical and surgical conditions. This study aimed to establish normative benchmarks for skeletal muscle mass, strength and performance within the context of the Asian (Indian) population. Our investigation utilized the computed tomography (CT) skeletal muscle index (SMI), handgrip strength (HGS), gait velocity and chair-stand test to construct reference values for muscle characteristics in the Indian population. The SMI analysis incorporated 1485 cases of acute abdomen (54.7%) males). The calculated SMI (kg/m2) was 38.50 (35.05-42.30) in males and 36.30 (32.20-41.20) in females (p = 0.510). The study also involved 3083 healthy individuals (67.6% males) evaluated for muscle strength and performance between August 2017 and August 2018. Notably, HGS (kg force) was recorded at 34.95 (26.50-43.30) in males and 25.50 (18.60-31.20) in females (p < 0.001). Gait velocity (metres/second) exhibited values of 1.25 (1.04-1.56) in males and 1.24 (1.03-1.56) in females (p = 0.851). Additionally, chair-stand test (seconds) results were 10.00 (9.00-13.00) in males and 12.00 (10.00-14.00) in females (p < 0.001). The investigation determined that males had greater muscle strength and performance than females. But gender wise, there was no significant difference in muscle mass. Interestingly, our population's muscle parameters were consistently lower compared to western literature benchmarks. These normative values will help to define sarcopenia parameters in our population, which have prognostic value in multiple ailments.

Reference values of skeletal muscle mass for children in Nanjing area

Objective: To establish the reference values and growth curves of skeletal muscle mass among children in the Nanjing area. Methods: A cross-sectional study was conducted with children who underwent physical examination at the Department of Child Health Care, Children's Hospital of Nanjing Medical University from 2020 January to 2022 September. Their height, weight, body fat mass and skeletal muscle mass were measured. Body mass index, percentage of body fat mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat were calculated. The associations between skeletal muscle mass indices and physical measurements index were analyzed through the Spearman correlation test. The Mann-Kendall test was used to assess the trend for skeletal muscle mass. Generalized additive models for location, scale and shape were used to construct percentile reference values and growth curves of male and female skeletal muscle mass indices at different ages. Results: A total of 32 690 children aged 4-14 years were enrolled in this study, including 19 912 boys (60.91%). Skeletal muscle mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat of boys and girls was 11.10 (8.40, 14.90) and 10.30 (7.90, 13.20) kg, 40.36% (37.01%, 43.13%) and 39.38% (36.43%, 41.88%), 6.70 (6.07, 7.52) and 6.33 (5.79, 7.00), 2.39 (1.46, 3.47) and 2.14 (1.45, 3.00) kg/m2, respectively. Skeletal muscle mass of both boys and girls was all positively associated with weight (r=0.97, 0.96), body mass index (r=0.68, 0.63) and percentage of body fat mass (r=0.40, 0.43) (all P<0.01). The reference values and growth curves showed that the percentage of skeletal muscle mass P50 ranged from 37.75%-44.61% in boys and from 36.22%-40.55% in girls. The relative skeletal muscle mass index P50 ranged from 5.80-9.68 kg/m2 in boys and from 5.57-7.98 kg/m2 in girls. The ratio of skeletal muscle to body fat P50 ranged from 1.86-2.67 in boys and from 1.29-2.41 in girls. There was an increasing trend with age for both boys and girls in the growth of skeletal muscle mass (Z=4.20, 3.75, both Ptrend<0.01), and increased slightly before 9 years of age and then increased rapidly until 14 years of age in both boys and girls. Conclusions: The skeletal muscle mass indices change with age and gender during childhood. Percentile reference values for pediatric skeletal muscle mass indices can be used to evaluate the muscular growth and development in children in the Nanjing area.

Assessment of Body Mass Index, Body Composition, Physical Activity, and Dietary Preferences in University Students: A Pilot Study

(1) Background: Body composition analysis, particularly the assessment of the amount and distribution of body fat and muscle mass in young people, is of considerable clinical importance for the detection of nutritional disorders. (2) Methods: University students aged 19–25 years had their body composition measured using a bioimpedance (BIA) device InBody 370S. Furthermore, a questionnaire survey was performed using the questionnaires: factors that influence your choice of food (FCQ); food preference questionnaire for adolescents and adults (FPQ); the international physical activity questionnaire (IPAQ). (3) Results: Body mass index (BMI) values were within a normal range in 89.5% of men and 77.9% of women, while statistically significant differences between the sexes were confirmed for all body parameters (p &lt; 0.001; p = 0.025). The waist-to-hip ratio (WHR) and percentage body fat (PBF) were abnormally high in 50.4% and 44.3% of women, respectively. High values of skeletal muscle mass (SMM), protein, minerals, and bone mineral content (BMC) were identified in 36.8% of men. A total of 88 students (66.7% of men and women) had a higher level of physical activity, i.e., achieved metabolic equivalent (MET) values of more than 3000 per week. (4) Conclusions: BMI does not always have explanatory power for assessing body weight, as it does not consider the percentage distribution of fat and non-fat body mass in the total body weight. Physical activity and a varied diet have a positive effect on achieving optimal body weight and are effective in preventing nutritional disorders (such as obesity and malnutrition) and associated health problems.

Comparison of bioelectrical impedance analysis and computed tomography for the assessment of muscle mass in patients with gastric cancer

BackgroundLow muscle mass was significantly correlated with poor clinical outcomes in cancer patients. This study aimed to compare the differences between bioelectrical impedance analysis (BIA) and computed tomography (CT) in measuring skeletal muscle mass and detecting low muscle mass in patients with gastric cancer (GC). MethodThis cross-sectional study included a total of 302 consecutive patients diagnosed with GC at our institution from October 2021 to March 2023. CT images were analyzed at the L3 level to obtain the cross-sectional area of skeletal muscle, which was subsequently used for calculating whole-body skeletal muscle mass via the Shen equation and skeletal muscle tissue density. BIA was utilized to measure skeletal muscle mass using the manufacturer's proprietary algorithms. Skeletal muscle mass (kg) was divided by height squared (m2) to obtain skeletal muscle index (SMI, kg/m2). Pearson's correlation coefficient was performed to assess the correlation between SMI measured by BIA and CT. The agreement between the two methods was assessed using Bland-Altman analyses. The clinically acceptable agreement was defined as the 95% limits of agreement (LOA) for the percentage bias falling within ± 10%. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of BIA in identifying low muscle mass. ResultsA total of 59 patients (19.5%) were identified as having low muscle mass based on CT analysis, whereas only 19 patients (6.3%) met the criteria for low muscle mass according to BIA analysis. BIA-measured SMI showed a strong positive correlation with CT-measured SMI in all patients (r = 0.715, P < 0.001). With Bland-Altman analysis, there was a significant mean bias of 1.18 ± 0.96 kg/m2 (95% CI 1.07–1.29, P < 0.001) between SMI measured by BIA and CT. The 95% LOA for the percentage bias ranged from -7.98 to 33.92%, which exceeded the clinically acceptable range of ± 10%. A significant difference was observed in the mean bias of SMI measured by BIA and CT between patients with and without GLIM malnutrition (1.42 ± 0.91 kg/m2 versus 0.98 ± 0.96 kg/m2, P < 0.001). The cut-off values for BIA-measured SMI in identifying low muscle mass using CT as the reference were 10.11 kg/m2 for males and 8.71 kg/m2 for females (male: AUC = 0.840, 95% CI: 0.772–0.908; female: AUC = 0.721, 95% CI: 0.598–0.843). ConclusionsDespite a significant correlation, the values of skeletal muscle mass obtained BIA and CT cannot be used interchangeably. The BIA method may overestimate skeletal muscle mass in GC patients compared to CT, especially among those with GLIM malnutrition, leading to an underestimation of low muscle mass prevalence.

Body Composition as Prognostic Markers for Survival of Patients with Non-Metastatic Non-Small-Cell Lung Cancer

Objective: Lung cancer is the leading cause of cancer-related deaths. Although, previous research have shown that patients with non-small-cell lung cancer (NSCLC), with a higher body mass index (BMI), have a lower risk of death, only a few studies have examined the effects of body composition. Hence, this study examined the prognostic value of skeletal muscle mass and fat mass in patients with non-metastatic NSCLC. Material and Methods: This was a retrospective cohort study; from 2008 to 2012. Eighty-eight of 130 non-metastatic NSCLC patients underwent computed tomography to assess paravertebral skeletal muscle, subcutaneous adipose tissue (SAT), and visceral adipose-tissue (VAT) at the 3rd lumbar vertebral level. Spearman correlation analysis was used to analyze body-composition correlations. Cox regression analysis was used to determine prognostic markers. Results: Higher SAT and VAT indices were associated with a higher-survival probability (HR, 0.79; p-value=0.001 and, HR 0.88; p-value=0.016, respectively). In contrast, higher SAT density and VAT/SAT ratio were associated with a lower survival probability (HR 1.16, p-value=0.012; HR 1.28, p-value=0.006, respectively). Lower performance status and TNM stage 3 were associated with lower-survival probability (HR 2.60; p-value=0.004, HR 1.92; p-value=0.035, respectively).Conclusion: The VAT index predicts a better prognosis for patients with non-metastatic lung cancer; however, visceral-fat distribution, as measured by a high VAT/SAT ratio, is associated with a worse prognosis.

Skeletal muscle estimation using magnetic-resonance-imaging-based equations for dual-energy X-ray absorptiometry and bioelectrical impedance analysis.

Skeletal muscle mass (SMM) estimation is important but challenging in clinical settings. Criterion methods, such as magnetic resonance imaging (MRI), are often inaccessible. However, surrogate methods, such as dual-energy X-ray absorptiometry (DXA) and multi-frequency bioelectrical impedance analysis (MFBIA), can use MRI-based equations to estimate SMM, although the agreement between these methods is unclear. Total and segmental SMM were estimated with DXA and MFBIA using MRI-based equations in 313 healthy adults (120 M, 193 F; age 30.2 ± 13.0 y; BMI 24.6 ± 4.0 kg/m2). DXA total SMM was estimated using the Kim and McCarthy equations, and segmental SMM was estimated using the McCarthy equations. Relationships between DXA and MFBIA SMM were examined using Deming regression, Lin's concordance correlation coefficient (CCC), equivalence testing, Bland-Altman analysis, and related tests. Strong linear relationships were observed for total (R2 0.95, CCC 0.96-0.97), leg (R2 0.90, CCC 0.85) and arm (R2 0.93, CCC 0.93) SMM in the entire sample. Kim equation SMM demonstrated statistical equivalence with MFBIA for total SMM, but the Deming regression slope differed from 1 and proportional bias was present. McCarthy equation total SMM exhibited a regression slope that did not differ from 1, and no proportional bias was present in the entire sample. However, equivalence with MFBIA was not observed. Systematically higher leg and arm SMM values were observed with DXA as compared to MFBIA. While DXA and MFBIA total SMM generally exhibited strong agreement, higher appendicular SMM by DXA highlights technical differences between methods.

Skeletal muscle mass in competitive physique-based athletes (bodybuilding, 212 bodybuilding, bikini, and physique divisions): A case series.

(1) To examine the muscle thickness of various muscle groups of the body to estimate the absolute and relative skeletal muscle mass (SM) in competitive physique-based athletes (Bodybuilding, 212 Bodybuilding, Bikini, and Physique divisions) and (2) to compare values across various divisions of competition and to resistance trained and non-resistance trained individuals. Eight competitive physique-based athletes (2 M and 6 F), two recreationally resistance trained (1 M and 1 F) and two non-resistance trained (1 M and 1 F) participants had muscle thickness measured by ultrasound at nine sites on the anterior and posterior aspects of the body. SM was estimated from an ultrasound-derived prediction equation and SM index was used to adjust for the influence of standing height (i.e., divided by height squared). SM values ranged from 19.6 to 60.4 kg in the eight competitive physique-based athletes and 16.1 to 32.6 kg in the four recreationally resistance trained and non-resistance trained participants. SM index ranged from 7.2 to 17.9 kg/m2 in the eight competitive physique-based athletes and 5.8 to 9.3 kg/m2 in the four recreationally resistance trained and non-resistance trained participants. Overall, varying magnitudes of SM and SM index were present across competitors and their respective divisions of bodybuilding. The Men's Open Bodybuilder in the present study had greater values of total SM and SM index compared to previously published values in the literature. Our data provides insight into the extent of SM present in this population and further extends the discussion regarding SM accumulation in humans.

Estimation of skeletal muscle mass in 4-year-old children using the D3-creatine dilution method

BackgroundGiven limited experience in applying the creatine-(methyl-D3) (D3Cr) dilution method to measure skeletal muscle mass (SMM) in young children, the feasibility of deployment in a fielding setting and performance of the method was assessed in a cohort of 4-year-old children in Dhaka, Bangladesh.MethodsFollowing D3Cr oral dose (10 mg) administration, single fasting urine samples were collected at 2–4 days (n = 100). Twenty-four-hour post-dose collections and serial spot urine samples on days 2, 3 and 4 were obtained in a subset of participants (n = 10). Urinary creatine, creatinine, D3Cr and D3-creatinine enrichment were analyzed by liquid chromatography–tandem mass spectrometry. Appendicular lean mass (ALM) was measured by dual-energy x-ray absorptiometry and grip strength was measured by a hand-held dynamometer.ResultsSMM was measured successfully in 91% of participants, and there were no adverse events. Mean ± SD SMM was greater than ALM (4.5 ± 0.4 and 3.2 ± 0.6 kg, respectively). Precision of SMM was low (intraclass correlation = 0.20; 95% CI: 0.02, 0.75; n = 10). Grip strength was not associated with SMM in multivariable analysis (0.004 kg per 100 g of SMM; 95% CI: −0.031, 0.038; n = 91).ConclusionsThe D3Cr dilution method was feasible in a community setting. However, high within-child variability in SMM estimates suggests the need for further optimization of this approach.ImpactThe D3-creatine (D3Cr) stable isotope dilution method was considered a feasible method for the estimation of skeletal muscle mass (SMM) in young children in a community setting and was well accepted among participants.SMM was weakly associated with both dual-energy x-ray absorptiometry-derived values of appendicular lean mass and grip strength.High within-child variability in estimated values of SMM suggests that further optimization of the D3Cr stable isotope dilution method is required prior to implementation in community research settings.

Skeletal muscle mass is a strong predictor of cardiorespiratory fitness in the Chinese population with obesity

Background and aimsAlthough skeletal muscle is well-known as physiologically related to VO2max, the independent predictive value of skeletal muscle mass (SMM) VO2max in people with obesity has not been studied. This study aims to determine the relationships between maximal oxygen uptake (VO2max) and SMM in the Chinese population with obesity. Methods and resultsOverall, 409 participants with obesity were included in this cross-sectional study. A maximal and graded exercise testing measured VO2max, and body compositions were measured by bioelectrical impedance analysis. Subsequently, correlation coefficients and stepwise multiple linear regression analyses were used to determine the relationships between VO2max and body compositions. SMM was found to have a significant correlation with VO2max (r = 0.290, P < 0.001) after adjusting for sex, age, body mass index (BMI), waist-to-hip ratio, and percent body fat (PBF). In previous studies, BMI was widely recognized as a strong predictor of VO2max. This study revealed surprising results: after SMM was controlled, the correlation between BMI and VO2max was reduced (from r = 0.381, P < 0.001 to r = 0.191, P < 0.001). SMM was found the most important independent predictor. In the regression model, the variance of VO2max was explained by the SMM which accounted for 27.4%. ConclusionsIn summary, SMM is a stronger independent predictor of cardiorespiratory fitness in the Chinese population with obesity than sex, age, BMI, waist-to-hip ratio, and PBF.

Характеристика коморбидной патологии при саркопеническом ожирении у детей

Objective. To study the frequency and structure of comorbid pathology in children with sarcopenic obesity. Patients and methods. This retrospective study included 726 children aged 10 to 17 (13 [12; 15]) years, among whom 54.9% were girls. Anthropometric, laboratory and instrumental examinations were performed to diagnose non-alcoholic fatty liver disease (NAFLD), arterial hypertension (AH), and metabolic syndrome (MS). Body fat mass and skeletal muscle mass were determined by bioelectrical impedance analysis. Sarcopenic obesity was diagnosed when the muscle-to-fat ratio (MFR) fell below the reference range. Results. The frequency of sarcopenic obesity in the total group of children was 83.3%, 71.2% in girls and 98.2% in boys. MFR was negatively correlated with the body mass index standard deviation score (BMI SDS) (R = -0.66, p &lt; 0.05). Sarcopenic obesity was associated with an increase in the frequency of comorbidities: in children with decreased MFR, NAFLD was detected in 74.7%, AH in 35.9%, and MS in 29.6%; with normal MFR values, the frequency of comorbidities was 52.9%, 14.0%, and 14.9%, respectively (p &lt; 0.001). Median MFR in children with uncomplicated obesity (0.78 [0.67; 0.92]) was significantly higher than in patients with NAFLD (0.67 [0.58; 0.82]), AH (0.66 [0.52; 0.78]), and MS (0.68 [0.56; 0.83]), p &lt; 0.001. Absolute values of skeletal muscle mass in most of the children remained within or exceeded the reference range. Conclusion. Most children with exogenous constitutional obesity were diagnosed with sarcopenic obesity. Sarcopenic obesity in children was accompanied by an increase in the frequency of non-alcoholic fatty liver disease, arterial hypertension, and metabolic syndrome. MFR can be used to assess the risk of obesity complications in children. Key words: obesity, skeletal muscle mass, sarcopenic obesity, children, metabolic syndrome, non-alcoholic fatty liver disease

Scoliosis Research Society-22r score is affected by standing whole body sagittal alignment, age, and sex, but not by standing balance or skeletal muscle mass in healthy volunteers.

Aging and spinal disease impair standing whole body sagittal alignment (WBS alignment), which leads to stooping. When WBS alignment deteriorates, compensatory mechanisms are activated to maintain standing posture. Increase of the compensation impairs health-related quality of life (HRQOL). The purpose of this research was to determine whether postural factors, age, and sex affect HRQOL. This cross-sectional study evaluated the influence of WBS alignment, standing body sway (balance), skeletal muscle mass (SMM), aging, and sex on HRQOL in healthy volunteers (n = 150; mean age 40.9years [20-76], 96 women). Age, sex, weight, height, and body mass index (BMI) were obtained. HRQOL was assessed with Scoliosis Research Society-22 (SRS-22r). WBS alignment and balance were measured by EOS imaging with simultaneous force plate measurement. SMM was measured using a medical body composition analyzer. Based on the bivariate analysis between the SRS-22r subtotal and all parameters, selected ten parameters were used for multivariate logistic regression analysis to identify affecting factors to SRS-22r. Men had significantly higher weight, height, BMI, and SRS-22r score in all domains. The L4-S1 lumbar lordosis angle was greater in men, and pelvic tilt and knee hyperextension were greater in women. Women had a more stable standing posture, whereas men had significantly higher SMM values. Multivariate logistic regression analysis revealed that age, sex, and TPA were identified as significant factors affecting SRS-22r. In healthy volunteers, SRS-22r is affected by aging, sex (woman had a lower score), and sagittal malalignment. Neither Standing balance nor SMM, however, affect SRS-22r.4.

Image-based analysis of skeletal muscle mass predicts cisplatin dose-limiting toxicity in patients with locally advanced head and neck cancer.

Evidence suggests that patients' skeletal muscle mass (SMM) can predict the patients at risk for cisplatin dose-limiting toxicities (DLT). Cisplatin is currently dosed on body surface area (BSA). The predictive value of SMM for cisplatin DLT in patients with locally advanced head and neck cancer (LA-HNC) is investigated. Patients with LA-HNC treated with cisplatin-based chemoradiotherapy (CRT) were included. SMM was measured using pre-treatment scans. Logistic regression analysis was performed to identify the predictive impact of low SMM for DLT. In total, 343 patients were included of which 199 patients (58.0%) had low SMM and 154 patients (44.9%) experienced cisplatin DLT. In multivariate analysis, low SMM at diagnosis was the only predictive factor for DLT (HR 1.8, 95% CI 1.1-2.9). Low SMM was associated with an increased risk of DLT. Trials are needed to investigate cisplatin dosing with consideration of SMM rather than solely BSA.

Validation of skeletal muscle mass estimation equations in active young adults: A preliminary study.

We analyzed the validity of the estimation equations for skeletal muscle mass (SMM) using mass of appendicular lean soft tissue (ALST), evaluated by dual-energy X-ray absorptiometry (DXA), in healthy young males undergoing training, and compared it with the results obtained using whole-body magnetic resonance imaging (MRI). We hypothesized that a novel variable, that is, trunk and trunk-to-appendicular ratio of lean soft tissues (trunk/ALST), would be useful in reducing estimation errors in athletes or physically active participants. We analyzed the data of 30 participants (mean age 19.9±1.8years). SMM was measured using whole-body MRI, while mass of trunk and ALST was assessed using DXA. Three previously utilized estimation equations were retrieved from the literature and used for comparison. The estimated SMM values using previous equations highly correlated with measured SMM, which was determined by MRI, but the mean estimated SMM values were significantly lower than the measured-SMM values. Stepwise regression analysis revealed that mass of ALST, trunk/ALST ratio, and percent body fat were significant predictors of SMM and were incorporated as the new suggested variables. This equation accounted for 90.3% of the variance in SMM. While the previous equations' estimated SMM correlated with measured-SMM in participants with trunk/ALST ratios ≤1.05, they underestimated SMMs in those with trunk/ALST ratios >1.05. The present study confirms that the previously used equations underestimate the actual SMM, particularly in participants with high trunk/ALST ratios (>1.05). The current equation may be used in healthy and active young males, including athletes, as a preliminary tool.

Predictive Value of Skeletal Muscle Mass in Recurrent/Metastatic Head and Neck Squamous Cell Carcinoma Patients Treated With Immune Checkpoint Inhibitors.

BackgroundReduced muscle mass has been associated with increased treatment complications in several tumor types. We evaluated the impact of skeletal muscle index (SMI) on prognosis and immune-related adverse events (IrAEs) in a cohort of recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) treated with immune checkpoints inhibitors (ICI).MethodsA single-institutional, retrospective study was performed including 61 consecutive patients of R/M HNSCC diagnosed between July 2015 and December 2018. SMI was quantified using a CT scan at L3 to evaluate body composition. Median baseline SMI was used to dichotomize patients in low and high SMI. Kaplan-Meier estimations were used to detect overall survival (OS) and progression-free survival (PFS). Toxicity was recorded using Common Terminology Criteria for Adverse Event v4.3.ResultsPatients were 52 men (85.2%) with mean of age 57.7 years (SD 9.62), mainly oral cavity (n = 21; 34.4%). Low SMI was an independent factor for OS in the univariate (HR, 2.06; 95% CI, 1.14–3.73, p = 0.017) and multivariate Cox analyses (HR, 2.99; 95% CI, 1.29–6.94; p = 0.011). PFS was also reduced in patients with low SMI (PFS HR, 1.84; 95% CI, 1.08–3.12; p = 0.025). IrAEs occurred in 29 (47.5%) patients. There was no association between low SMI and IrAEs at any grade (OR, 0.56; 95% CI, 0.20–1.54; p = 0.261). However, grades 3 to 4 IrAEs were developed in seven patients of whom three had low SMI.ConclusionsLow SMI before ICI treatment in R/M HNSCC patients had a negative impact on OS and PFS. Further prospective research is needed to confirm the role of body composition as a predictive biomarker in ICI treatment.

Effects of Health Qigong in Improving the Cervical and Lumbar Disc Disease and Mental Health Status of Sedentary Young and Middle-Aged Faculties.

Background:Shoulder, neck, and back discomforts and abdominal obesity caused by sedentariness are increasingly prominent in young and middle-aged population groups. Health Qigong improves physical functions and strengthens the disease resistance of exercisers. This study aims to explore health Qigong intervention’s effects on the cervical vertebra, lumbar vertebra, and mental status.Methods:A total of 108 sedentary young and middle-aged faculties from Yantai University in China were recruited from July to December 2020 and randomly classified into the experimental and control groups. The former received health Qigong exercises for 12 weeks, and the latter was not intervened. The total general skeletal muscle mass, range of neck joint motion, mental health, and range of waist joint motion of all respondents before and after the intervention were tested and calculated.Results:The body fat rate of the experimental group after intervention was significantly lower than that before intervention (P<0.05). The skeletal muscle mass (SMM) value was significantly higher than that before intervention. The experimental group had lower body fat rate but higher SMM value than the control group after the intervention. In addition, the range of motion (ROM) of the cervical vertebra was significantly higher in the experimental group than in the control group after intervention. Somatization, obsessive/compulsive disorder, interpersonal sensitivity, depression, anxiety, hostility, paranoia, and SCL-90 total score of the experimental group after intervention decreased significantly compared with that before intervention (P<0.05).Conclusion:Health Qigong improves the ROM of cervical and lumbar vertebrae and the mental health status of sedentary young and middle-aged groups.

Reference values of skeletal muscle mass, fat mass and fat-to-muscle ratio for rural middle age and older adults in western China

BackgroundSkeletal muscle mass (SMM), fat mass (FM) and fat-to-muscle ratio (FMR) are significant indicators in epidemiology studies and clinical settings. The aim of this study was to establish age-related and sex-specific reference values for skeletal muscle mass index (SMMI), fat mass index (FMI) and FMR by bioelectrical impedance analysis (BIA) for healthy rural adults in western China. MethodsThis study is a cross-sectional study from Ningxia cohort study, included 13,790 individuals aged 35 to 74 years. Bioelectrical impedance analysis (BIA) was performed to measure body composition. Lambda-mu-sigma method was used to establish age-related and sex-specific percentile curves for SMMI, FMI and FMR. ResultsOverall, men had higher SMMI, but lower FMI and FMR than women for all ages. The SMMI decreased rapidly with age for men and women after 55 years and 45 years, respectively. FMI in men remain stable until 70 years; women's FMI showed a rapidly increasing after 50 years. The FMR increased consistently after 35 years for both men and women. These age-related and sex-specific reference values were established with the mean ± SD as the normal reference range. ConclusionsThese reference values could be used as simple tools to identify age-specific low SMMI or high FMI and facilitate earlier identification sarcopenia or sarcopenic obesity in rural Chinese adults.

950P Prognostic and predictive value of skeletal muscle mass (SMM) in squamous cell carcinoma of the head and neck (SCCHN) in patients treated with immune checkpoint inhibitors (ICI)

SMM has been associated with increased treatment related acute toxicity and complications in several tumour types. However, there is no reported evidence of this association in SCCHN patients treated with ICI. We explored whether low SMM influenced the onset of severe toxicity and prognosis in these patients.

The Genetic Effect on Muscular Changes in an Older Population: A Follow-Up Study after One-Year Cessation of Structured Training.

Older adults lose muscle mass and strength at different speeds after the cessation of physical exercise, which might be genotype related. This study aimed to explore the genetic association with changes in muscle mass and strength one year after the cessation of structured training in an older population. Participants (n = 113, aged between 61 and 81 years) who performed one-year of combined fitness (n = 44) or whole-body vibration (n = 69) training were assessed one year after the cessation of the training. Whole-body skeletal muscle mass and knee strength were measured. Data-driven genetic predisposition scores (GPSs) were calculated and analysed in a general linear model with sex, age, body mass index and post-training values of skeletal muscle mass or muscle strength as covariates. Forty-six single nucleotide polymorphisms (SNPs) from an initial 170 muscle-related SNPs were identified as being significantly linked to muscular changes after cessation. Data-driven GPSs and over time muscular changes were significantly related (p < 0.01). Participants with higher GPSs had less muscular declines during the cessation period while data-driven GPSs accounted for 26–37% of the phenotypic variances. Our findings indicate that the loss of training benefits in older adults is partially genotype related.

Sonographic muscle mass assessment in patients after cardiac surgery.

BACKGROUNDPatients undergoing cardiac surgery particularly those with comorbidities and frailty, experience frequently higher rates of post-operative morbidity, mortality and prolonged hospital length of stay. Muscle mass wasting seems to play important role in prolonged mechanical ventilation (MV) and consequently in intensive care unit (ICU) and hospital stay.AIMTo investigate the clinical value of skeletal muscle mass assessed by ultrasound early after cardiac surgery in terms of duration of MV and ICU length of stay.METHODSIn this observational study, we enrolled consecutively all patients, following their admission in the Cardiac Surgery ICU within 24 h of cardiac surgery. Bedside ultrasound scans, for the assessment of quadriceps muscle thickness, were performed at baseline and every 48 h for seven days or until ICU discharge. Muscle strength was also evaluated in parallel, using the Medical Research Council (MRC) scale.RESULTSOf the total 221 patients enrolled, ultrasound scans and muscle strength assessment were finally performed in 165 patients (patients excluded if ICU stay < 24 h). The muscle thickness of rectus femoris (RF), was slightly decreased by 2.2% [(95% confidence interval (CI): - 0.21 to 0.15), n = 9; P = 0.729] and the combined muscle thickness of the vastus intermedius (VI) and RF decreased by 3.5% [(95%CI: - 0.4 to 0.22), n = 9; P = 0.530]. Patients whose combined VI and RF muscle thickness was below the recorded median values (2.5 cm) on day 1 (n = 80), stayed longer in the ICU (47 ± 74 h vs 28 ± 45 h, P = 0.02) and remained mechanically ventilated more (17 ± 9 h vs 14 ± 9 h, P = 0.05). Moreover, patients with MRC score ≤ 48 on day 3 (n = 7), required prolonged MV support compared to patients with MRC score ≥ 49 (n = 33), (44 ± 14 h vs 19 ± 9 h, P = 0.006) and had a longer duration of extracorporeal circulation was (159 ± 91 min vs 112 ± 71 min, P = 0.025).CONCLUSIONSkeletal quadriceps muscle thickness assessed by ultrasound shows a trend to a decrease in patients after cardiac surgery post-ICU admission and is associated with prolonged duration of MV and ICU length of stay.

FRI0292 TREATMENT RESPONSE TO BIOLOGICAL DISEASE-MODIFYING ANTI-RHEUMATIC DRUGS IS ASSOCIATED WITH FAVORABLE CHANGES OF THE BODY COMPOSITION IN PATIENTS WITH ANKYLOSING SPONDYLITIS

Background:There is few data available regarding differences in body composition and its possible changes in patients with ankylosing spondylitis (AS) treated with biological disease-modifying anti-rheumatic drugs (bDMARDs). An increase of body weight and lean mass in patients receiving TNF inhibitors, as well as a possible muscle wasting by high disease activity have been previously described. Bioelectrical impedance analysis (BIA) is a valid method to assess body composition and allows to distinguish between fat, fat-free mass and skeletal muscle mass.Objectives:To evaluate changes in body composition in patients with AS after 6 months of treatment with bDMARDs.Methods:Patients with a diagnosis of AS, fulfilling the modified New York criteria and starting a bDMARD therapy were included in the extension of the prospective German Spondyloarthritis Inception Cohort (GESPIC). All patients had high disease activity (BASDAI &gt;=4 and/or ASDAS &gt;=2.1) despite previous treatment with nonsteroidal anti-inflammatory drugs. Disease activity and body composition were assessed at baseline and after 6 months of bDMARD treatment. Body composition was assessed by the BIA with the seca© mBCA 515 device (SECA Deutschland GmbH, Hamburg/Germany) and included the following parameters: weight, body mass index (BMI), fat mass index (FMI), fat free mass index (FFMI), skeletal muscle mass value (SMM), and visceral adipose tissue value (VAT). Response to a bDMARD therapy was defined as achievement of clinically important improvement of ASDAS (&gt;=1.1).Results:A total of 129 patients (66.7% male) with AS were recruited in this cohort extension between 2015 and 2019. The mean (mean ± SD) age was 36.2 ± 10.3 years, and symptom duration was 10.7 ± 9.1 years. HLA-B27 test was positive in 89.1% patients. BIA was assessed in 77 patients; the baseline characteristics of these patients were similar to those of the whole cohort. Of these, 75 patients were treated with TNF inhibitors and 2 patients were treated with an IL-17A inhibitor.After 6 months of a bDMARD treatment, body composition changed significantly with an increase of weight and BMI due to the gain of FMI but also of FFMI and SMM, while there was no increase of the visceral fat – table. In responders (improvement of ASDAS&gt;=1.1 after 6 months) the results were similar to the whole group with a significantly gain (mean±SD) on BMI, FMI, FFMI and SMM (0.3 ± 1.4 kg/m2, 0.3 ± 1.0 kg/m2, 0.2 ±0.5 kg/m2, 0.5 ± 1.2 kg, p&lt;0.05, respectively). In non-responders, there were no significant changes on the body composition after 6 months of treatment.Conclusion:Treatment with bDMARDs is associated with favorable changes of the body composition with increase of the muscle mass but not of the visceral fat. These changes were evident in treatment responders only.TABLE 1.Body composition parameter at baseline and after 6 months of treatment with a bDMARDs in patients with AS (n=77)Mean±SDDifference, mean±SD95% CIP*LowerUpperWeight at baseline, kg77.19±15.710.75±3.800.041.470.04Weight at 6 months, kg77.94±16.25BMI at baseline, kg/m225.03±4.320.30±1.290.060.550.02BMI at 6 months, kg/m225.33±4.43FMI at baseline, kg/m26.74±3.390.31±0.970.070.540.01FMI at 6 months, kg/m27.05±3.42FFMI at baseline, kg/m218.27±2.180.15±0.480.040.270.01FFMI at 6 months, kg/m218.42±2.27SMM at baseline, kg27.40±5.850.32±1.110.050.590.02SMM at 6 months, kg27.73±5.90VAT at baseline, liters1.94±1.62-0.12±0.63-0.270.040.14VAT at 6 months, liters1.82±1.56BMI: Body Mass Index; FMI: Fat Mass Index; FFMI: Free Fat Mass Index; SMM: Skeletal Muscle mass; VAT: Visceral Adipose Tissue.*Wilcoxon testAcknowledgments:GESPIC has been financially suported by ArthroMark and METARTHROS projectsDisclosure of Interests:Valeria Rios Rodriguez Consultant of: Abbvie, Novartis, Mikhail Protopopov Consultant of: Novartis, Fabian Proft Grant/research support from: Novartis Pharma GmbH, Consultant of: Consultancy / speaker fees from: Abbvie, BMS, Celgene, Lilly, MSD, Novartis, Pfizer, Roche, UCB, Speakers bureau: Consultancy / speaker fees from: Abbvie, BMS, Celgene, Lilly, MSD, Novartis, Pfizer, Roche, UCB, Judith Rademacher: None declared, Burkhard Muche: None declared, Anne Katrin Weber: None declared, Susanne Lüders: None declared, Hildrun Haibel Consultant of: Abbvie, Jansen, MSD, and Novartis, Speakers bureau: Abbvie, Jansen, MSD, and Novartis, Maryna Verba: None declared, Joachim Sieper Consultant of: AbbVie, Boehringer Ingelheim, Eli Lilly and Company, Janssen, Merck, Novartis, Pfizer, Roche, and UCB Pharma, Speakers bureau: AbbVie, Boehringer Ingelheim, Eli Lilly and Company, Janssen, Merck, Novartis, Pfizer, Roche, and UCB Pharma, Denis Poddubnyy Grant/research support from: AbbVie, MSD, Novartis, and Pfizer, Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, MSD, Novartis, Pfizer, Roche, UCB, Speakers bureau: AbbVie, Bristol-Myers Squibb, Eli Lilly, MSD, Novartis, Pfizer, Roche, UCB