A genome-wide association study identifies a locus associated with knee extension strength in older Japanese individuals.

Sarcopenia is a common skeletal muscle disease in older people. Lower limb muscle strength is a good predictive value for sarcopenia; however, little is known about its genetic components. Here, we conducted a genome-wide association study (GWAS) for knee extension strength in a total of 3452 Japanese aged 60 years or older from two independent cohorts. We identified a significant locus, rs10749438 which is an intronic variant in TACC2 (transforming acidic coiled-coil-containing 2) (P = 4.2 × 10-8). TACC2, encoding a cytoskeleton-related protein, is highly expressed in skeletal muscle, and is reported as a target of myotonic dystrophy 1-associated splicing alterations. These suggest that changes in TACC2 expression are associated with variations in muscle strength in older people. The association was consistently observed in young and middle-aged subjects. Our findings would shed light on genetic components of lower limb muscle strength and indicate TACC2 as a potential therapeutic target for sarcopenia.

Low muscle mass in patients with stroke on admission reduces walking ability at discharge.

BACKGROUND & AIMS: Reduced skeletal muscle mass may negatively influence postural retention and walking function. This study aimed to examine the influence of the skeletal muscle mass index on walking function in patients with stroke. METHODS: This study included patients with cerebral infarction aged ≥65 years. The Asian Working Group for Sarcopenia's skeletal muscle mass index criteria were used to classify the participants into the low and high skeletal muscle mass index groups. The patient characteristics of the two groups were compared. The primary and secondary outcome measures were independent walking and walking speed, respectively. RESULTS: In total, 174 participants were included. There were no significant differences in the length of hospital stay, rehabilitation volume, or functional independence measure score at discharge between the males and females. Multivariate logistic regression analysis revealed that independent walking was independently associated with the skeletal muscle mass index on admission. The SMI, as an explanatory variable, was independently associated with the comfortable and fastest walking speeds. Faster walking was associated with higher skeletal muscle mass indexes on admission for both males and females. CONCLUSIONS: A low skeletal muscle mass index negatively influences walking function improvement in patients with stroke. A strategy aimed at increasing skeletal muscle mass can have beneficial effects on walking function in patients with stroke.

Association between Sarcopenia and Balance in Patients Undergoing Inpatient Rehabilitation after Hip Fractures: A Retrospective Cohort Study.

Background and Objectives: Sarcopenia is characterized by a decline in skeletal muscle mass, strength, and function and is associated with advancing age. This condition has been suggested as a factor that negatively influences the functional outcomes of patients with hip fractures. However, the association between sarcopenia and balance impairment in patients undergoing inpatient rehabilitation after hip fractures remains unclear. In this retrospective cohort study, we aimed to investigate the impact of sarcopenia on balance outcomes in patients undergoing inpatient rehabilitation following hip fractures. Materials and Methods: Baseline sarcopenia was diagnosed using skeletal muscle mass index and handgrip strength, with cut-off values recommended by the Asian Working Group for Sarcopenia. The primary outcome was balance, which was assessed using the Berg Balance Scale (BBS) at the time of discharge. A multiple linear regression model analyzed the association between sarcopenia and balance. The model was adjusted for age, sex, comorbidities, and cognitive function. Results: Among the 62 patients (mean age: 78.2; sex: 75.8% women), 24.2% had sarcopenia. Patients with sarcopenia had significantly lower BBS scores than did those without sarcopenia (41 vs. 49 points, p = 0.004). Multiple linear regression analysis revealed that baseline sarcopenia was independently associated with BBS scores at discharge (ß = -0.282, p = 0.038). Conclusions: Following inpatient rehabilitation, patients with baseline sarcopenia had inferior balance outcomes than did those without sarcopenia at discharge. Sarcopenia should be assessed on admission to consider and provide additional care for those with a higher risk of poor functional outcomes. More studies are needed to investigate the association between sarcopenia and functional outcomes, examine the impact of sarcopenia treatment on these outcomes, and reduce the risk of recurrent falls and fractures in patients with hip fractures.

Establishing an optimal diagnostic criterion for respiratory sarcopenia using peak expiratory flow rate.

BACKGROUND: The skeletal muscle changes as aging progresses, causing sarcopenia in the older adult population, which affects the respiratory muscles' mass, strength, and function. The optimal cut-off point of peak expiratory flow rate (PEFR) for respiratory sarcopenia (RS) diagnosis in accordance with sarcopenia identification is needed. AIM: To establish an optimal cut-off point of PEFR for RS diagnosis in community-dwelling Asian older women. METHODS: Sarcopenia diagnostic indicators were evaluated according to the Asian Working Group for Sarcopenia 2019 (AWGS) criteria. The respiratory parameters composed of respiratory muscle strength and respiratory function were evaluated by assessing maximal inspiratory pressure (MIP), percent predicted forced vital capacity (Pred FVC), and PEFR. RESULTS: A total of 325 community-dwelling older women were included in this study. PEFR was negatively associated with RS (OR: 0.440; 95% CI: 0.344-0.564). The area under the curve (AUC) of PEFR was 0.772 (p < 0.001). The optimal cut-off point of PEFR for RS diagnosis was 3.4 l/s (sensitivity, 63.8%; specificity, 77.3%). Significant differences were found between the robust, possible sarcopenia, sarcopenia, and RS groups in terms of both sarcopenia diagnostic indicators and respiratory parameters (p < 0.05). CONCLUSIONS: The cut-off point of PEFR can be used as a reasonable standard for RS diagnosis. This study finding can serve as a cornerstone for developing concrete criteria of RS in older women, supporting clinical judgment, which is crucial for providing appropriate treatment through accurate diagnosis.

Effects of Ninjin'yoeito on Patients with Chronic Obstructive Pulmonary Disease and Comorbid Frailty and Sarcopenia: A Preliminary Open-Label Randomized Controlled Trial.

Purpose: To present the preliminarily findings regarding the effects of a herbal medicine, Ninjin'yoeito, on comorbid frailty and sarcopenia in patients with chronic obstructive pulmonary disease (COPD). Patients and Methods: Patients with COPD (GOLD II or higher) and fatigue were randomly assigned to Group A (n = 28; no medication for 12 weeks, followed by 12-week administration) or B (n= 25; 24-week continuous administration). Visual analog scale (VAS) symptoms of fatigue, the COPD assessment test (CAT), and the modified Medical Research Council (mMRC) Dyspnea Scale were examined. Physical indices such asknee extension leg strength and walking speed, skeletal muscle mass index (SMI), and respiratory function test were also measured. Results: VAS fatigue scales in Group B significantly improved after 4, 8, and 12 weeks compared to those in Group A (each p<0.001, respectively). Right and left knee extension leg strength in Group B significantly improved after 12 weeks compared to that in Group A (p=0.042 and p=0.037, respectively). The 1-s walking speed for continued to increase significantly over 24 weeks in Group B (p=0.016, p<0.001, p<0.001, p=0.004, p<0.001, and p<0.001 after 4, 8, 12, 16, 20, and 24 weeks, respectively); it also significantly increased after the administration of Ninjin'yoeito in Group A. In Group B, the SMI significantly increased at 12 weeks in patients with sarcopenia (p=0.025). The CAT scores in Group B significantly improved after 12 weeks compared to those in Group A (p=0.006). The mMRC scores in Group B also significantly improved after 8 and 12 weeks compared to those in Group A (p= 0.045 and p <0.001, respectively). The changes in %FEV1.0 in Group B were significantly improved at 12 and 24 weeks (p=0.039 and p=0.036, respectively). Conclusion: Overall, Ninjin'yoeito significantly improved patients' quality of life, physical activity, muscle mass, and possibly lung function, suggesting that Ninjin'yoeito may improve frailty and sarcopenia in patients with COPD.

Decreased Left Ventricular Mass is Associated with Sarcopenia and its Severity in Elderly Inpatients.

Objective: Skeletal muscle mass and cardiac structure change with age. It is unclear whether the loss of skeletal muscle mass (SMM) is accompanied by a decrease in heart mass loss. The aim of this study is to investigate the relationship of left ventricular mass (LVM) with sarcopenia and its severity in elderly inpatients. Methods: Seventy-one sarcopenia subjects and 103 non-sarcopenia controls were enrolled in this study. Bioelectrical impedance analysis, handgrip strength, and 5-time chair stand test were used to evaluate SMM, muscle strength, and physical performance, respectively. Myocardial structure and function were assessed by echocardiography. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia criteria 2019. Results: Sarcopenic patients had smaller left ventricular sizes and LVM than non-sarcopenic controls. Severe sarcopenic patients had smaller left ventricular sizes and LVM than non-severe sarcopenic patients. In univariate regression analysis, body mass index (BMI), cardiac size, and LVM were positively correlated with SMM or SMI. In multivariate regression analysis, BMI and LVM were independently correlated with SMM and SMI. The combined measurement of LVM and BMI predicts sarcopenia with 66.0% sensitivity and 88.7% specificity (AUC: 0.825; 95% CI: (0.761, 0.889); p < 0.001). Conclusion: In hospitalized elderly patients, decreased left ventricular mass is associated with sarcopenia and its severity, and the combined measurement of LVM and BMI has a predictive value for sarcopenia.

Prevalence and clinical characteristics of Sarcopenia in older adult patients with stable chronic obstructive pulmonary disease: a cross-sectional and follow-up study.

BACKGROUND: The relationship between sarcopenia and chronic obstructive pulmonary disease (COPD) has been increasingly reported, and there is some overlap regarding their clinical features and pulmonary rehabilitation (PR) strategies. No Korean study has reported the actual prevalence of sarcopenia in patients with stable COPD who are recommended for pulmonary rehabilitation. This study evaluated the prevalence and clinical features of sarcopenia in older adult outpatients with stable COPD and the changes after 6 months. METHODS: In this cross-sectional and 6-month follow-up study, we recruited 63 males aged ≥ 65 diagnosed with stable COPD. Sarcopenia was diagnosed using the AWGS 2019 criteria, which included hand grip strength testing, bioelectrical impedance analysis, Short Physical Performance Battery administration, and Strength, Assistance with walking, Rising from a chair, Climbing stairs, and Falling screening tool administration. A 6-minute walk test (6 MWT) was conducted, forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), maximal inspiratory and expiratory pressures (MIP and MEP, respectively) and peak expiratory flow (PEF) were assessed, and patient-reported questionnaires were administered. RESULTS: At baseline, 14 (22%) patients were diagnosed with possible sarcopenia, and eight (12.6%) were diagnosed with sarcopenia. There were significant differences in the age; body mass index; Body mass index, airflow Obstruction, Dyspnea, and Exercise index; modified Medical Research Council dyspnea scores; and International Physical Activity Questionnaire scores between the normal and sarcopenia groups. Whole-body phase angle, MIP, MEP, PEF, and 6-minute walk distance (6 MWD) also showed significant differences. Over 6 months, the proportion of patients with a reduced FEV1 increased; however, the proportion of patients with sarcopenia did not increase. CONCLUSION: A relatively low prevalence of sarcopenia was observed in older adult outpatients with stable COPD. No significant change in the prevalence of sarcopenia was found during the 6-month follow-up period. TRIAL REGISTRATION: The study was registered with the Clinical Research Information Service (KCT0006720). Registration date: 30/07/2021.

Investigating the effects of synbiotic supplementation on functional movement, strength and muscle health in older Australians: a study protocol for a double-blind, randomized, placebo-controlled trial.

BACKGROUND: Aging has been associated with a progressive loss of skeletal muscle quality, quantity and strength, which may result in a condition known as sarcopenia, leading to a decline in physical performance, loss of independence and reduced quality of life. While the cause of impaired physical functioning observed in elderly populations appears to be multifactorial, recent evidence suggests that age-associated alterations in gut microbiota could be a contributing factor. The primary objective will be to assess the effects of a dietary synbiotic formulation on sarcopenia-related functional outcomes such as handgrip strength, gait speed and physical performance within older individuals living independently. The secondary objective will be to examine associations between changes in gut microbiota composition, functional performance and lean muscle mass. METHODS: Seventy-four elderly (60-85 years) participants will be randomized in a double-blind, placebo-controlled fashion to either an intervention or control group. The intervention group (n = 37) will receive oral synbiotic formulation daily for 16 weeks. The control group (n = 37) will receive placebo. Assessments of physical performance (including Short Physical Performance Battery, handgrip strength and timed up-and-go tests) and muscle ultrasonography will be performed at 4 time points (baseline and weeks 8, 16 and 20). Likewise, body composition via bioelectric impedance analysis and blood and stool samples will be collected at each time point. Dual-energy X-ray absorptiometry will be performed at baseline and week 16. The primary outcomes will be between-group changes in physical performance from baseline to 16 weeks. Secondary outcomes include changes in body composition, muscle mass and architecture, fecal microbiota composition and diversity, and fecal and plasma metabolomics. DISCUSSION: Gut-modulating supplements appear to be effective in modifying gut microbiota composition in healthy older adults. However, it is unclear whether these changes translate into functional and/or health improvements. In the present study, we will investigate the effects of a synbiotic formulation on measures of physical performance, strength and muscle health in healthy older populations. TRIAL REGISTRATION: This study was prospectively registered with the Australian New Zealand Clinical Trials Registry (ACTRN12622000652774) in May 2022.

Sarcopenia prevalence using handgrip strength or chair stand performance in adults living with type 2 diabetes mellitus.

BACKGROUND: The updated European Working Group on Sarcopenia in Older People (EWGSOP2) recommends handgrip strength (HGS) and the chair stand test (CST) to assess muscle strength, with the CST being a convenient proxy for lower limb strength. However, adiposity may differentially influence these strength criteria and produce discrepant sarcopenia prevalence. OBJECTIVE: To determine the prevalence of sarcopenia using HGS or the CST, and to investigate the associations between these strength criteria and adiposity in adults with type 2 diabetes mellitus. METHODS: The EWGSOP2 definition was used to assess the prevalence of probable (low muscle strength), confirmed (plus low muscle mass) and severe (plus poor physical performance) sarcopenia. Linear regression models were used to study the association between different measures of muscle strength and adiposity. RESULTS: We used data from 732 adults with type 2 diabetes mellitus (35.7% female, aged 64 ± 8 years, body mass index 30.7 ± 5.0 kg/m2). Using the CST compared with HGS produced a higher prevalence of probable (31.7% vs. 7.1%), confirmed (5.6% vs. 1.6%) and severe (1.0% vs. 0.3%) sarcopenia, with poor agreement between strength criteria to identify probable sarcopenia. CST performance, but not HGS, was significantly associated with all measures of adiposity in unadjusted and adjusted models. CONCLUSIONS: Higher levels of adiposity may impact CST performance, but not HGS, resulting in a higher prevalence of sarcopenia in adults with type 2 diabetes mellitus. Consideration should be paid to the most appropriate measure of muscle function in this population.

Frequency of sarcopenia in Turkish women with systemic lupus erythematosus.

OBJECTIVE: This study aimed to evaluate the prevalence of sarcopenia and its clinical significance in Turkish women with SLE, exploring the association between muscle mass, muscle strength and SLE disease activity. METHODS: A cross-sectional study was conducted at Gazi University Hospital's Department of Rheumatology from January to December 2020. It involved 82 patients with SLE, diagnosed according to the 2019 American College of Rheumatology/European Alliance of Associations for Rheumatology criteria, and 69 healthy controls. Sarcopenia was assessed using hand grip dynamometry (hand grip strength (HGS)) and bioelectrical impedance analysis for muscle mass, with sarcopenia defined according to the 2018 European Working Group on Sarcopenia in Older People criteria and specific cut-offs for the Turkish population. The main outcomes measured were the presence of sarcopenia and probable sarcopenia, HGS values, skeletal muscle mass index and SLE Disease Activity Index 2000 (SLEDAI-2K). RESULTS: Among the patients with SLE, 51.2% met the criteria for probable sarcopenia and 12.9% were diagnosed with sarcopenia. The mean HGS was significantly lower in the SLE group (21.7±4.9 kg) compared with controls, indicating reduced muscle strength. The prevalence of anti-double-stranded DNA (anti-dsDNA) antibodies was 82.9%. Multivariate regression analysis identified height and levels of anti-dsDNA antibodies as independent predictors for developing probable sarcopenia. No significant association was found between clinical parameters, including SLEDAI-2K scores, and sarcopenia status. CONCLUSIONS: Sarcopenia is prevalent among Turkish women with SLE, with a significant proportion showing reduced muscle strength. The study found no direct association between sarcopenia and SLE disease activity or clinical parameters. These findings underscore the importance of including muscle strength assessments in the routine clinical evaluation of patients with SLE to potentially improve management and quality of life.

Exploration of a machine learning approach for diagnosing sarcopenia among Chinese community-dwelling older adults using sEMG-based data.

BACKGROUND: In the practical application of sarcopenia screening, there is a need for faster, time-saving, and community-friendly detection methods. The primary purpose of this study was to perform sarcopenia screening in community-dwelling older adults and investigate whether surface electromyogram (sEMG) from hand grip could potentially be used to detect sarcopenia using machine learning (ML) methods with reasonable features extracted from sEMG signals. The secondary aim was to provide the interpretability of the obtained ML models using a novel feature importance estimation method. METHODS: A total of 158 community-dwelling older residents (≥ 60 years old) were recruited. After screening through the diagnostic criteria of the Asian Working Group for Sarcopenia in 2019 (AWGS 2019) and data quality check, participants were assigned to the healthy group (n = 45) and the sarcopenic group (n = 48). sEMG signals from six forearm muscles were recorded during the hand grip task at 20% maximal voluntary contraction (MVC) and 50% MVC. After filtering recorded signals, nine representative features were extracted, including six time-domain features plus three time-frequency domain features. Then, a voting classifier ensembled by a support vector machine (SVM), a random forest (RF), and a gradient boosting machine (GBM) was implemented to classify healthy versus sarcopenic participants. Finally, the SHapley Additive exPlanations (SHAP) method was utilized to investigate feature importance during classification. RESULTS: Seven out of the nine features exhibited statistically significant differences between healthy and sarcopenic participants in both 20% and 50% MVC tests. Using these features, the voting classifier achieved 80% sensitivity and 73% accuracy through a five-fold cross-validation. Such performance was better than each of the SVM, RF, and GBM models alone. Lastly, SHAP results revealed that the wavelength (WL) and the kurtosis of continuous wavelet transform coefficients (CWT_kurtosis) had the highest feature impact scores. CONCLUSION: This study proposed a method for community-based sarcopenia screening using sEMG signals of forearm muscles. Using a voting classifier with nine representative features, the accuracy exceeds 70% and the sensitivity exceeds 75%, indicating moderate classification performance. Interpretable results obtained from the SHAP model suggest that motor unit (MU) activation mode may be a key factor affecting sarcopenia.

The characteristics of the body mass frequency index in dysmobility syndrome: A pilot study.

BACKGROUND: With the advancement of global aging, there has been an increase in patients with dysmobility syndrome (DS), often accompanied by osteoporosis, sarcopenia, and sarcopenic obesity. The objective of this study was to evaluate the application value of the body mass frequency index (BMFI) in older patients with DS by comprehensively analyzing the differences in BMFI between community-dwelling older subjects using medical and engineering methods. METHODS: A cross-sectional study was conducted to recruit community-dwelling older subjects aged 60-90 years. Various assessments and measurements were performed, including basic information collection, gait analysis, bone mineral density (BMD) and body composition measurement, fall and fracture risk et al. Gait analysis and body mass index (BMI) are in the established model to calculate BMFI. Analysis of BMFI was performed in community-dwelling older subjects, and the specificity and threshold of BMFI in predicting dysmobility syndrome (DS) were further analyzed. RESULTS: Significant differences in BMFI were observed between older adults with DS and those without DS. BMFI in older people was associated with bone quality, fracture risk, body fat percentage, appendicular skeletal muscle mass index (ASMI), grip strength, and speed. The odds ratio (OR) and 95 % confidence interval (CI) for BMFI in the non-DS and DS groups were 0.823 (0.743-0.901), respectively. Receiver operating characteristic (ROC) analysis demonstrated that BMFI had predictive value in distinguishing non-DS from DS (AUC = 0.669) (P < 0.05). The optimal threshold for predicting non-DS and DS was found to be 16.04 (sensitivities = 0.483, specificities = 0.774). CONCLUSION: The measurement of BMFI has demonstrated disparities in musculoskeletal status among older adults with and without DS. Notably, BMFI exhibits a unique predictive capacity for DS among the elderly population.

ALM/BMI: A Clinically Superior Index for Identifying Skeletal Muscle Dysfunction in Patients With Heart Failure.

BACKGROUND: Skeletal muscle wasting is critical in patients with heart failure (HF). Whereas prior studies have employed appendicular lean mass (ALM) normalized by height squared to identify low skeletal muscle mass, the potential of ALM normalized to body mass index (ALM/BMI) remains unexplored in patients with HF. In this study, we compared the use of 2 skeletal muscle mass indices in patients with HF to examine their sex-specific correlations with measures of physical capacity, quality of life, and daily physical activity. METHODS AND RESULTS: A total of 111 patients with HF underwent dual x-ray absorptiometry, physical capacity tests, and accelerometry and answered a quality-of-life questionnaire. ALM normalized by height squared and ALM/BMI indices disagreed in classifying low muscle mass (Cohen's κ, -0.008 [95% CI, -0.094 to 0.177]; P=0.93). ALM/BMI correlated well with 6-minute walking distance in women and men (R=0.67 and 0.49; P<0.001), with maximal oxygen uptake in women and men (R=0.41 and 0.48; P<0.05), and with maximal muscle strength in women and men (R=0.54 and 0.43; P<0.01). Inversely, ALM normalized by height squared did not correlate significantly with 6-minute walking distance or maximal oxygen uptake and correlated with maximal muscle strength only in men (R=0.43; P<0.001). Only ALM/BMI allowed for identification of a low-muscle-mass group characterized by poor quality of life (Minnesota Living With Heart Failure Questionnaire score of 33±21 versus 25±16; P=0.027) and less daily time spent in moderate to vigorous physical activity (8 [3-17] versus 15 [9-37] minutes; P<0.001). CONCLUSIONS: ALM/BMI was superior for identifying clinically significant muscle dysfunction in both female and male patients with HF.

Assessment of phase angle as a novel indicator for sarcopenic obesity according to the ESPEN/EASO criteria in older adults with diabetes mellitus.

BACKGROUND: Sarcopenic obesity (SO) is a clinical condition in which sarcopenia and obesity occur together, and is associated with more poor clinical outcomes, increased mortality, and morbidity than sarcopenia. Phase angle (PhA), a parameter derived from bioimpedance analysis (BIA), provides data on cellular health, membrane integrity, and cellular function. This study aimed to evaluate the relationship between SO and PhA among older adults with type 2 diabetes mellitus (DM). METHODS: We performed a cross-sectional study in a tertiary hospital, and all participants underwent a comprehensive geriatric assessment, the hand-grip strength test (HGST), the chair stand test (CST) for muscle strength evaluation, the 4-meter walking test, and the timed up-and-go (TUG) test for physical performance assessment. The diagnosis of SO was made according to the ESPEN/EASO criteria. The PhA was determined automatically by the BIA using resistance and reactance at 50 kHz for each participant. RESULTS: A total of 322 participants were included in the study. The mean age of the participants was 72.5 ±5.8, and 203 (63%) of them were female; 63 (19.6%) of them were sarcopenic obese. In multivariable logistic regression analyses, a significant relationship was found when the model was adjusted for age, female gender, MNA-sf scores, HbA1c level, and CCI scores (OR: 0.53, 95%CI: 0.29-0.98, P = 0.04). In ROC analyses, for PhA in predicting SO diagnosis, the AUC was 0.586 (95%CI: 0.505-0.678, P = 0.033). At the cut-off score 4.4, sensitivity was 57.1% and specificity was 61.4%; positive predictive value (PPV) was 26.5%; negative predictive value (NPV) was 85.5%. CONCLUSIONS: The study identified a significant relationship between SO and PhA among older adults with type 2 DM. However, larger prospective studies are needed to confirm the potential utility of PhA as a biomarker for SO.

Prevalence of Sarcopenia in Chronic Heart Failure and Modulating Role of Chronic Kidney Disease.

INTRODUCTION: Sarcopenia, heart failure (HF), and chronic kidney disease (CKD) are common among the older people. Our objective was to evaluate the frequency of sarcopenia, among community-dwelling older adults with HF, possible causative factors, and the additive factor of CKD. METHODS: A cross-sectional analysis of 1,420 older people living in the community was carried out. Participants (aged 75 years and more) came from a European multicenter prospective cohort (SCOPE study). Global geriatric assessment including short physical performance battery, handgrip strength test, and bioelectrical impedance analysis was performed. Previous known HF was defined as physician-diagnosed HF registered in the patient's medical record or the use of HF-related medications, regardless of left ventricular ejection fraction (LVEF). Sarcopenia was defined by the updated criteria of the European Working Group on Sarcopenia in Older People (EWGSOP2). Estimated glomerular filtration rate was calculated using Berlin Initiative Study (BIS) to define the stages of CKD. Two-year mortality was also collected. RESULTS: A total of 226 (15.9%) participants had a prior chronic HF diagnosis, with a median age of 80.0 (5.0), and 123 (54.4%) were women. Using EWGSOP2 definition, 11.5% HF and 10.7% in non-HF participants met diagnostic criteria for sarcopenia. In multivariate analyses, only a lower body mass index (BMI) (odds ratios [OR], 0.82; 95% confidence interval [CI], 0.73-0.93) and lower short physical performance battery score (OR, 0.81; 95% CI, 0.69-0.96) were associated with sarcopenia. Patients with HF and sarcopenia have a similar all-cause mortality risk but higher 2-year cardiovascular mortality risk (p = 0.047). DISCUSSION/CONCLUSION: One out of ten community-dwelling older adults with concurrent clinical stable chronic HF, without considering LVEF, have sarcopenia. Lower BMI and poor physical performance are associated with sarcopenia in this population, but not CKD.

Respiratory Muscle Strength Is Related to Handgrip Performance in Community-Dwelling Persons Aged 80+ from the BUTTERFLY Study.

INTRODUCTION: This study aimed to evaluate the association of respiratory muscle strength with sarcopenia and its indicators in the oldest old. METHODS: Maximum inspiratory pressure (MIP), maximum expiratory pressure (MEP), and sarcopenia-related factors (handgrip strength and appendicular lean mass) were evaluated in a cohort of n = 286 (45.5% female) non-frail, community-dwelling persons aged 83.6 ± 3.0 years (age range 80-97 years). RESULTS: The sample presented a sarcopenia prevalence of 32.2%. Sarcopenic subjects showed comparable MIP and MEP as non-sarcopenic ones (female: MIP 43.9 ± 18.9 vs. 50.3 ± 19.5, p = 0.053; MEP 63.0 ± 23.0 vs. 69.2 ± 19.1, p = 0.067; male: MIP, 65.1 ± 24.4 vs. 64.4 ± 23.9, p = 0.433; MEP 87.7 ± 33.3 vs. 93.8 ± 30.9, p = 0.124). Statistically significant but very low associations were found between grip strength and MIP (r = 0.193 for male, p < 0.05 and r = 0.257 for female participants, p < 0.01) and MEP (r = 0.200 for male, p < 0.01 and r = 0.191 for female participants, p < 0.05). Lean mass was significantly correlated to MIP and MEP in female (r = 0.253, p < 0.01 and r = 0.343, p < 0.01, respectively), whereas this association was not found in male participants. Grip strength was the only statistically significant predictor of MEP (r2 = 0.212, p < 0.001), while MIP was independently predicted by age, male sex, and grip strength (r2 = 0.177, p < 0.001). CONCLUSIONS: Peripheral muscle strength is a statistically significant, albeit weak predictor for respiratory muscle strength in well-functioning, community-dwelling persons aged 80+. When confronted to a low grip strength, one should be aware of concomitant respiratory muscle weakness, as this is a known risk factor for atelectasis and pneumonia. Given the relatively low association with handgrip strength, respiratory muscle strength testing might be indicated.

Effect of Sarcopenia on Swallowing in Patients With Head and Neck Cancer.

OBJECTIVE: Sarcopenia, characterized by decreased skeletal muscle mass, is associated with poorer oncologic outcomes in head and neck cancer (HNC) patients. The effect of sarcopenia on swallowing following HNC treatment is unknown. This study aims to investigate the association of sarcopenia and swallowing dysfunction in patients treated for HNC. STUDY DESIGN: Retrospective cohort study. SETTING: Academic medical center. METHODS: Pretreatment sarcopenia was assessed using the skeletal muscle index calculated from cross-sectional imaging at the third cervical vertebra. Feeding tube dependence, patient-reported dysphagia, and swallowing safety were assessed before and after treatment with the Functional Oral Intake Scale, Eating Assessment Tool-10, and Penetration Aspiration Scale, respectively. The association between sarcopenia and swallowing dysfunction was evaluated. RESULTS: A total of 112 patients were included, 84 males (75%) and 28 females (25%). A total of 69 (61.6%) had sarcopenia prior to initiating HNC therapy. Sarcopenia was significantly associated with an elevated risk of patient-reported dysphagia (odds ratio [OR] = 2.71 [95% confidence interval, CI, 1.12-6.79]; P < .05). Multivariate logistic regression demonstrated that sarcopenia (OR = 15.18 [95% CI, 1.50-453.53]; P < .05) is an independent predictor for aspiration following treatment for HNC. CONCLUSION: Patients with pretreatment sarcopenia had higher rates of dysphagia before treatment and were more likely to develop aspiration after completion of HNC therapy. Sarcopenia is readily measured using cross-sectional imaging and may be useful for identifying patients at risk of swallowing dysfunction and those most likely to benefit from prehabilitation efforts.

The determination of sarcopenia in older adults using a practical measure.

BACKGROUND: Many older adults are at risk of sarcopenia, a gradual loss of muscle mass affecting muscle strength and physical function, which can lead to adverse health consequences deteriorating their independence. However, the detection could be delayed due to the requirement of many measures, including a complex imaging modality. Thus, an exploration for a practical community- or home-based measure would be helpful to identify at-risk older adults and begin the timely management. OBJECTIVE: To explore the ability of the upper limb loading during a seated push-up test (ULL-SPUT) to determine the presence of sarcopenia in community-dwelling older adults. METHODS: Older adults (n= 110; 62 females, average age approximately 77 years) were cross-sectionally assessed for sarcopenia using standard measures (handgrip strength, appendicular skeletal muscle mass, and walking speed) and the ULL-SPUT. RESULTS: Data from standard measures indicated that 44 participants had sarcopenia. The ULL-SPUT index of < 16.9 kg/m2 for females (sensitivity = 86%, specificity = 78%, area under the receiver operating characteristic curve [AUC] = 0.85) and < 19.7 kg/m2 for males (sensitivity = 73%, specificity = 69%, AUC = 0.83) could optimally identify participants with sarcopenia. CONCLUSION: The ULL-SPUT index could be used to screen and monitor older adults with sarcopenia in various clinical, community, and home settings. This practical measure may be accomplished using a digital bathroom scale on a hard, even surface. Outcomes would identify an adult who should undergo further confirmation of sarcopenia through standard measures or the initiation of timely management to promote treatment effectiveness.

Deep-learning model for predicting physical fitness in possible sarcopenia: analysis of the Korean physical fitness award from 2010 to 2023.

Introduction: Physical fitness is regarded as a significant indicator of sarcopenia. This study aimed to develop and evaluate a deep-learning model for predicting the decline in physical fitness due to sarcopenia in individuals with potential sarcopenia. Methods: This study used the 2010-2023 Korean National Physical Fitness Award data. The data comprised exercise- and health-related measurements in Koreans aged >65 years and included body composition and physical fitness variables. Appendicular muscle mass (ASM) was calculated as ASM/height2 to define normal and possible sarcopenia. The deep-learning model was created with EarlyStopping and ModelCheckpoint to prevent overfitting and was evaluated using stratified k-fold cross-validation (k = 5). The model was trained and tested using training data and validation data from each fold. The model's performance was assessed using a confusion matrix, receiver operating characteristic curve, and area under the curve. The average performance metrics obtained from each cross-validation were determined. For the analysis of feature importance, SHAP, permutation feature importance, and LIME were employed as model-agnostic explanation methods. Results: The deep-learning model proved effective in distinguishing from sarcopenia, with an accuracy of 87.55%, precision of 85.57%, recall of 90.34%, and F1 score of 87.89%. Waist circumference (WC, cm), absolute grip strength (kg), and body fat (BF, %) had an influence on the model output. SHAP, LIME, and permutation feature importance analyses revealed that WC and absolute grip strength were the most important variables. WC, figure-of-8 walk, BF, timed up-and-go, and sit-and-reach emerged as key factors for predicting possible sarcopenia. Conclusion: The deep-learning model showed high accuracy and recall with respect to possible sarcopenia prediction. Considering the need for the development of a more detailed and accurate sarcopenia prediction model, the study findings hold promise for enhancing sarcopenia prediction using deep learning.

Defining and diagnosing sarcopenia: Is the glass now half full?

Low muscle mass and function exert a substantial negative impact on quality of life, health and ultimately survival, but their definition, identification and combination to define sarcopenia have suffered from lack of universal consensus. Methodological issues have also contributed to incomplete agreement, as different approaches, techniques and potential surrogate measures inevitably lead to partly different conclusions. As a consequence: 1) awareness of sarcopenia and implementation of diagnostic procedures in clinical practice have been limited; 2) patient identification and evaluation of therapeutic strategies is largely incomplete. Significant progress has however recently occurred after major diagnostic algorithms have been developed, with common features and promising perspectives for growing consensus. At the same time, the need for further refinement of the sarcopenia concept has emerged, to address its increasingly recognized clinical heterogeneity. This includes potential differential underlying mechanisms and clinical features for age- and disease-driven sarcopenia, and the emerging challenge of sarcopenia in persons with obesity. Here, we will review existing algorithms to diagnose sarcopenia, and major open methodological issues to assess skeletal muscle mass and function under different clinical conditions, in order to highlight similarities and differences. Potential for consensus on sarcopenia diagnosis as well as emerging new challenges will be discussed.