Associations between Body Mass Index and Probable Sarcopenia in Community-Dwelling Older Adults

The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and sarcopenia: A cross-sectional study

BACKGROUND

The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) is a newly developed lipid parameter that's used to evaluate cardiovascular disease risk. However, its association with sarcopenia risk has not been explored before.

METHODS

Data on NHHR and sarcopenia were based on the secondary analysis of the years 2011-2018 of National Health and Nutrition Examination Survey (NHANES) dataset. NHHR was nature log-transformed (LnNHHR) to achieve a normal distribution. A multivariate logistic regression and a restricted cubic spline (RCS) model adjusted for associated factors were utilized to evaluate the correlation between NHHR and sarcopenia. Subgroup and sensitivity analyses were conducted to verify the robustness of the findings.

RESULTS

The study cohort comprised 7069 participants, of whom 6497 (91.91 %) were sarcopenia-free, and 572 (8.09 %) exhibited sarcopenia. A significant increase in NHHR was observed in the sarcopenia group compared to the non-sarcopenic group (P < 0.001). Multivariate logistic regression analysis revealed that sarcopenia was independently linked to NHHR [odds ratio (OR): 1.394, P = 0.007]. A linear relationship was identified between NHHR and sarcopenia risk (Pnon-linear = 0.108). Interaction analysis indicated that the relationship between NHHR and sarcopenia risk was not significantly modified by gender, sex, poverty income ratio, education, smoking status, or race.

CONCLUSION

NHHR was significantly associated with an elevated risk of sarcopenia among U.S. adults. Further research is warranted to elucidate the underlying physiological mechanisms through which NHHR influences sarcopenia development.

Body composition of older adults with normal body mass index. Cross-sectional analysis of the Toulouse Frailty clinic

BACKGROUND

Body mass index (BMI) determines general corpulence and health, whatever age, sex or clinical background. Normal BMI (18.5-24.9 kgm2) is defined as healthy, normal, weight leading to a false impression that no intervention is needed.

OBJECTIVES

Assess the prevalence of body impairments in the presence of normal BMI.

DESIGN

Cross-sectional design. Bivariate and a multivariate regression analysis assessed the association of body composition with clinical parameters in the presence of normal BMI.

SETTING

Community dwelling older adults attending the Toulouse Frailty Clinic at the University Hospital, Toulouse.

PARTICIPANTS

876 community dwelling, autonomous older adults, 70 years and over.

MEASUREMENTS

Dual X-ray Absorptiometry (DXA) assessment, and cognitive, physical, nutritional, and demographic evaluations were included in the present analysis.

RESULTS

Of the initial sample, 347 (39.61 %) patients had normal BMI, and among them, 152 (43.80 %) had low lean mass, 144 (41.49 %) were osteoporotic and 2 (0.58 %) increased fat mass. A poor nutritional status (Mini-Nutritional Assessment score, MNA-score, <24) was the only independent variable associated with body impairments in the presence of normal BMI (Odd Ratio 2.83; 95 % Confidence Interval 1.64-4.89).

CONCLUSION

Nearly 70 % of the adults with normal BMI had at least one impairment in body composition (low lean mass, osteoporosis, or obesity). In the light of the present study, older adults with normal BMI and an MNA-score under 24 should be assessed with DXA to identify the age-associated impairments in body composition in order to lead to specific interventions.

Relationship Between Body Mass Index and Low Skeletal Muscle Mass in Adults Based on NHANES 2011-2018

Sarcopenia, a syndrome characterized by declining muscle mass and function, is associated with various adverse health outcomes. While body mass index (BMI) is a fundamental health indicator, its relationship with sarcopenia is complex and remains inadequately explored. Low BMI has been linked to muscle loss, but the role of other demographic and clinical factors in this relationship is unclear. This cross-sectional study analyzed data from the NHANES 2011-2018 cohort, including 7,455 adults aged ≥ 20 years. Low muscle mass was diagnosed based on appendicular skeletal muscle mass using DXA criteria. BMI was categorized into quartiles for analysis. Weighted multivariable logistic regression assessed associations between BMI and low muscle mass, adjusting for confounders such as age, gender, ethnicity, income-to-poverty ratio, and chronic diseases (e.g., diabetes and hypertension). Variance inflation factors (VIF) confirmed the absence of multicollinearity. Lower BMI was significantly associated with higher odds of low muscle mass (adjusted OR: 0.508, 95% CI: 0.483-0.533, p < 0.001), while higher BMI exhibited a protective effect. Age (OR: 1.035, 95% CI: 1.025-1.045, p < 0.001) and female gender (OR: 1.570, 95% CI: 1.267-1.949, p < 0.001) were independent risk factors. Racial disparities were noted, with non-Hispanic Black individuals at lower risk compared to non-Hispanic Whites (OR: 0.242, 95% CI: 0.152-0.384, p < 0.001). Other significant factors included diabetes and alcohol consumption, while education and smoking status were not significantly associated. BMI is inversely associated with low muscle mass prevalence, with lower BMI posing a higher odds. The findings underscore the clinical importance of monitoring BMI and addressing multifactorial risk profiles for low muscle mass management and prevention.

Age but not vitamin D is related to sarcopenia in vitamin D sufficient male elderly in rural China

This study aimed to identify the correlation of serum 25(OH)D level with sarcopenia and its components in Chinese elderly aged 65 years and above from rural areas. A total of 368 Chinese elderly aged 65 years and above in rural areas were enrolled. Indicators of muscle mass and strength, including the appendicular skeletal muscle mass (ASM), skeletal muscle index (SMI) and hand grip strength (HGS) were measured. Physical performance was assessed by the Short Physical Performance Battery (SPPB). Serum 25(OH)D levels were measured using the liquid chromatography with tandem mass spectrometry. Correlations of serum 25(OH)D level with sarcopenia and its components in Chinese elderly were identified by the binary logistic regression and linear regression analyses. The median serum 25(OH)D level was 34.80 ng/ml, and significantly higher in men than in women (40.70 ng/ml vs. 27.30 ng/ml). The prevalence of sarcopenia in our cohort was 21.5%, and higher in men than in women (29.4% vs. 10.8%). The serum 25(OH)D level was not correlated with sarcopenia, HGS and SPPB score in either male or female elderly. Positive correlations of age with sarcopenia, low HGS and low SPPB score were observed in male elderly, while significant correlations were not observed in females. Correlation analyses of sarcopenia components revealed that age was negatively correlated with SMI and gait speed in male elderly, but negatively correlated with the gait speed and positively correlated with the time to complete 5 sit-to-stand movements in female elderly. In conclusion, rural Chinese elderly have relatively high vitamin D level and prevalence of sarcopenia. Age but not serum 25(OH)D level is significantly correlated with sarcopenia in vitamin D sufficient male elderly.

Handgrip strength and body mass index exhibit good predictive value for sarcopenia in patients on peritoneal dialysis

Aim

The diagnosis of sarcopenia in patients on peritoneal dialysis (PD) in clinics is limited owing to its relatively complicated process and the need for expensive assessment equipment. This study aimed to develop and validate sex-specific nomogram models based on body mass index (BMI), handgrip strength, and other routine follow-up examination indicators to predict sarcopenia in patients on PD.

Methods

From March 2023 to February 2024, 699 eligible patients were recruited from the PD centers of two tertiary hospitals in southeastern China. Routine follow-up examination indicators such as age, BMI, biochemical indicators, dialysis adequacy, handgrip strength, and five-repetition sit-to-stand test, were used as potential predictive variables. Multivariate logistic regression analyses were used to separately determine the predictive factors for men and women. Nomogram models were constructed based on the results of the multivariate analyses, which were internally validated using a bootstrap re-sampling method (n = 2000). Predictive performance was validated using a receiver operating characteristic (ROC) curve.

Results

The prevalence of sarcopenia in Chinese patients on PD was 13.92%. The nomogram models based on multivariate analyses revealed both handgrip strength and BMI as independent predictors of sarcopenia in men and women on PD. The bootstrap-corrected area under the ROC curves of the models was 0.924 (95% CI: 0.888-0.959) and 0.936 (95% CI, 0.906-0.966) for men and women, respectively. The calibration curves of both models demonstrated high consistency between the observed and anticipated values.

Conclusion

The two nomogram models based on BMI and handgrip strength demonstrated good predictive ability for sarcopenia in male and female patients on PD. Subsequently, these may be used as convenient and inexpensive methods for the early detection and timely management of sarcopenia in patients on PD.

Predicting sarcopenia risk in stroke patients: a comprehensive nomogram incorporating demographic, anthropometric, and biochemical indicators

Objective

Although there is a strong correlation between stroke and sarcopenia, there has been a lack of research into the potential risks associated with post-stroke sarcopenia. Predictors of sarcopenia are yet to be identified. We aimed at developing a nomogram able to predict sarcopenia in patients with stroke.

Methods

The National Health and Nutrition Examination Survey (NHANES) cycle year of 2011 to 2018 was divided into two groups of 209 participants-one receiving training and the other validation-in a random manner. The Lasso regression analysis was used to identify the risk factors of sarcopenia, and a nomogram model was created to forecast sarcopenia in the stroke population. The model was assessed based on its discrimination area under the receiver operating characteristic curve, calibration curves, and clinical utility decision curve analysis curves.

Results

In this study, we identified several predictive factors for sarcopenia: Gender, Body Mass Index (kg/m2), Standing Height (cm), Alkaline Phosphatase (ALP) (IU/L), Total Calcium (mg/dL), Creatine Phosphokinase (CPK) (IU/L), Hemoglobin (g/dL), and Waist Circumference (cm). Notably, female patients with stroke exhibited a higher risk of sarcopenia. The variables positively associated with increasing risk included Alkaline Phosphatase, Body Mass Index, Waist Circumference, and Hemoglobin, while those negatively associated with risk included Height, Total Calcium, and Creatine Phosphokinase. The nomogram model demonstrated remarkable accuracy in distinguishing between training and validation sets, with areas under the curve of 0.97 and 0.90, respectively. The calibration curve showcased outstanding calibration, and the analysis of the decision curve revealed a broad spectrum of beneficial clinical outcomes.

Conclusion

This study creates a new nomogram which can be used to predict pre-sarcopenia in stroke. The new screening device is accurate, precise, and cost-effective, enabling medical personnel to identify patients at an early stage and take action to prevent and treat illnesses.

Effects of BMI and grip strength on older adults' falls-A longitudinal study based on CHARLS

Background

Body Mass Index (BMI) and grip strength are potentially important risk factors for falls among the older adults. Currently, there is no consensus on the combined effects of grip strength and BMI on falls in the older adults, particularly among the Chinese older adults.

Objective

To investigate the incidence of falls among older adults in China and explore the association between BMI and grip strength and the risk of falls in older adults.

Methods

Data of participants over 60 in China Health and Retirement Longitudinal Study in 2011 and 2013 were collected. Sociodemographic variables, lifestyle, chronic disease status, history of falls and depression and cognitive status were obtained through the 2011 baseline questionnaire. Height, weight and grip strength were collected from a unified physical examination in 2011. Falls during the follow-up period were obtained through the follow-up questionnaire in 2013. Logistic regression was used to explore the association between BMI and grip strength and the risk of falls.

Results

Three thousand six hundred and eighty-five participants over 60 (67.14 ± 6.08) were included, with a fall incidence rate of 17.37%. The fall incidence rate in females (21.15%) was higher than that in male (13.46%). After adjusting covariates, high grip strength was associated with lower falls risks in general population (OR = 0.76; 95 CI: 0.630-0.923) and males (OR = 0.68; 95 CI: 0.503-0.919). Underweight was associated with lower falls risks in general population (OR = 0.77; 95 CI: 0.595-0.981) and females (OR = 0.69; 95 CI: 0.486-0.962) compared to the normal BMI group. Compared with the low grip strength group, females with high grip strength (OR = 0.54; 95 CI: 0.29-0.98) had a lower risk of falls in the underweight BMI group and males with high grip strength (OR = 0.63; 95 CI: 0.43-0.92) had lower risk of falls in the normal BMI group.

Conclusions

High grip strength and underweight BMI are independently correlated with a lower fall risk, which varies between males and females.

Improving the functional detection of sarcopenic obesity: prevalence and handgrip scoring in the OBESAR cohort

OBJECTIVE

The study objectives were: 1) to detect early signs of low muscle function and assess sarcopenic obesity (SO) prevalence in patients with obesity; and 2) to introduce a new online diagnostic tool for scoring handgrip strength (HGS), adjusted for age and sex.

METHODS

Patients from the OBESAR cohort (184 men and 499 women) were tested for body composition and functional testing (chair stand test or HGS based on the cutoffs from the European Society for Clinical Nutrition and Metabolism [ESPEN]/European Association for the Study of Obesity [EASO] or adjusted HGS [adHGS] based on reference values), and SO prevalence was calculated accordingly.

RESULTS

Among the 683 patients (mean [SD], age 42.6 [12.8] years; BMI 44.4 [6.3] kg/m2), HGS averaged 25.6 (6.8) kg for women and 43.2 (10.4) kg for men. A total of 25.2% of patients had adHGS lower than the 10th percentile, but this was true for only 5.6% using ESPEN/EASO cutoffs of HGS. SO prevalence rates were different according to functional tests: 5.4%, 24.5%, and 3.2% for HGS, adHGS, and the chair stand test, respectively.

CONCLUSIONS

Using adHGS through a scoring process considering age and sex may help to detect early signs of SO in a primary care setting in order to better prevent SO through a personalized approach in adults with obesity. A free online application, "GRip And Sarcopenia Prediction" (GRASP), is proposed to diagnose probable SO.

Prevalence of Sarcopenia in Connective Tissue Disease Associated Interstitial Lung Diseases: A Single-Centre Study from India

Background

Sarcopenia, a progressive loss of skeletal muscle strength and mass, can lead to decreased quality of life, physical disability, and mortality. Early identification of sarcopenia is crucial in limiting morbidity and mortality in connective tissue disease associated interstitial lung diseases (CTDILD) patients.

Objective

The objectives of this study are to determine the prevalence of sarcopenia in CTD-ILD patients and to correlate the severity of sarcopenia with pulmonary function tests, spirometry, and 6-minute walk test (6MWT).

Materials and Methods

The study involved 32 CTD-ILD patients, documenting their demographic, clinical, and medical history, and conducting various tests, including spirometry, 6MWT, ANA, ENA, MSA profile, and HRCT thorax. Sarcopenia was evaluated using the SARC-F questionnaire, while muscle mass, strength, and physical performance were assessed using the BODYSTAT Quad scan 4000, chair stand test, and gait speed test.

Results

Pre-sarcopenia was the most common condition, followed by sarcopenia and severe sarcopenia. MCTD-ILD and SSc-ILD were the most commonly observed types of CTD-ILD. Patients with pre-sarcopenia had the highest mean FVC, FEV1 (in litres), FVC (%) and FEV1 (%) compared to patients with sarcopenia. The mean distance walked in 6MWT was lowest in patients with severe sarcopenia and highest in patients with sarcopenia, but the difference was not statistically significant.

Conclusion

This study highlights a higher prevalence of sarcopenia in CTD-ILD patients, and its effects on lung function and physical performance. Early identification and intervention for sarcopenia could improve the quality of life and survival in these patients.

Body Composition in Cases with Normal Alanine Aminotransferase Values in Medical Health Checkups

BACKGROUND AND AIMS

We aimed to clarify the relationship between alanine aminotransferase (ALT) level and body composition in Japanese medical health checkups, especially in cases with ALT ≤ 30 IU/L (7569 men and 9497 women).

METHODS

We categorized our study cohort into four groups: type A (ALT value ≤ 10 IU/L), type B (11 ≤ ALT value ≤ 20 IU/L), type C (21 ≤ ALT value ≤ 30 IU/L) and type D (ALT value > 30 IU/L (ALT over 30)). We retrospectively compared body composition-related parameters (body mass index (BMI), waist circumference (WC), fat (F) index, fatty liver index (FLI), fat-free (FF) index and F-FF ratio) among the four types.

RESULTS

Type A/B/C/D in men and women was found in 262/3279/2107/1921 and 1549/5736/1495/717 (p < 0.0001). BMI, WC, F-index, FLI, FF index and F-FF ratio were all significantly stratified among the four types, regardless of whether they were male or female and over or under 50 years old.

CONCLUSIONS

With a decrease in ALT level in medical health checkups, fat mass decreases, and F-FF ratio decreases, but a decrease in skeletal muscle mass cannot be overlooked.

Uremic sarcopenia: the role of intramuscular adipose tissue as a potential early identifier

Introduction

Sarcopenia is a chronic pathological condition, first defined in 2010 and revised in 2018. The most recent definition of sarcopenia focuses mostly on "low muscle strength." A secondary form of sarcopenia is represented by uremic sarcopenia (US), a condition that characterizes end-stage kidney disease (ESKD) patients. The intramuscular adipose tissue (IMAT) seems to impact negatively on muscle strength, as it would seem to replace muscle fibers with a non-contractile component. The study aims to compare body composition parameters-both standardized and innovative-related to the diagnosis of US in hemodialysis (HD) patients, stratified by sarcopenia diagnosis. Furthermore, the different indices of sarcopenia are compared in order to evaluate their predictive capacity.

Methods

We analyzed 48 ESKD patients according to the sarcopenia diagnosis, obtained using dual-energy X-ray absorptiometry (DXA). Moreover, we assessed the presence of IMAT and calculated the sarcopenia index (SI).

Results

For the study, the enrolled population was divided according to the sarcopenia diagnosis: no sarcopenic patients had higher transferrin (p = 0.03), total proteins (p = 0.04), and azotemia pre-dialysis (p = 0.05) values. On the contrary, atherogenic indices were lower in no sarcopenic patients. Moreover, we observed an indirect correlation between the SI and parathyroid hormone (PTH) (p = 0.00138, R 2 = 0.54). Finally, we calculated the prevalence of sarcopenia and sarcopenia adjusted for IMAT. We showed a different prevalence between sarcopenia diagnosed with a standard index and an index adjusted for IMAT (p = 0.043). In conclusion, we believe that the most important result obtained is the indirect correlation between SI and PTH. These data corroborate the theories, in which PTH seems to play a central role in the cachexia genesis. Moreover, the SI adjusted for IMAT seems to be a more reliable parameter for the early identification of subjects at risk of developing US, allowing timely implementation of targeted therapeutic strategies.

Muscle Mass and Muscle Strength in Non-Dialysis-Dependent Chronic Kidney Disease Patients

Background: Sarcopenia is a state with a progressive and generalized loss of skeletal muscle mass and strength. However, muscle strength and muscle mass are different features, which are usually not studied separately. The aim of the study was to investigate anthropometric and clinical correlates and sources of variation in both skeletal muscle mass and muscle strength in chronic kidney disease (CKD). Methods: The study sample consisted of 84 patients with an estimated glomerular filtration rate (eGFR) < 45 mL/min/1.73 m2. Muscle strength was estimated by measuring hand grip strength (HGS). Muscle quantity was measured with bioimpedance spectroscopy (BIS). Serum creatinine, urea, uric acid (UA), and albumin were measured as well. Results: Appendicular skeletal muscle mass (ASM) significantly and positively correlated with body mass, NH weight (normally hydrated weight), height, body mass index (BMI), lean tissue mass (LTM), lean tissue index (LTI), fat mass (FM), and fat tissue index (FTI), and was negatively associated with hydration status. HGS significantly and positively correlated with body mass, NH weight, height, LTM, LTI, and ASM, and was negatively associated with UA and urea. After adjustment for age, sex, and height, HGS remained significantly and negatively related with UA and hydration status. Conclusions: In CKD patients, ASM is determined by anthropometric parameters, but HGS is determined by both anthropometric and clinical variables specific for CKD. In order to study the determinants of HGS in CKD, relationships with HGS should be adjusted for anthropometric variables.

Skeletal muscle size and quality in healthy kidney donors, normal range and clinical associations

The gold standard to estimate muscle mass and quality is computed tomography (CT) scan. Lower mass and density (intramuscular fat infiltration) of skeletal muscles are markers of sarcopenia, associated with increased mortality risk, impaired physical function, and poorer prognosis across various populations and medical conditions. We aimed to describe standard reference values in healthy population, prospective kidney donors, and correlate clinical parameters to muscle mass and density. Included in the cohort 384 consecutive kidney donors. Mean age was 44.6 ± 11.5 (range 18.4-74.2), 46% were female and mean BMI was 25.6 ± 3.8 kg/m2. Our quantified reference values for psoas cross -sectional area (CSA) index at L3 level (males/females respectively) were 6.3 ± 1.8 and 4.8 ± 1.9 cm2 /m2, and density was 46.1 ± 5 and 41 ± 5 HU at that level. Older age (standardized beta coefficient - 0.12, p = 0.04), sex (- 0.32, p < 0.001) and BMI (0.17, p = 0.002) were significantly associated with CSA index of psoas at L3. Density, however, was associated with triglycerides level (- 0.21, p < 0.001), in addition to age (- 0.22, p < 0.0001), sex (- 0.27, p < 0.001) and BMI (- 0.1, p = 0.05). Our study validates the normative values of psoas muscle mass and density in healthy individuals and suggests correlations with clinical parameters. We demonstrate the significance of measuring not only the mass of the muscle, but also its density, as it has a valid association with metabolic parameters, including BMI and lipid level, even in healthy individuals and in the normal range of the tests.

Hepatogenous Diabetes as Compared to Type-2 Diabetes Mellitus and Non-diabetes in Patients With Liver Cirrhosis: Magnitude, Characteristics, and Implications

Aim

Hepatogenous diabetes (HD) is frequently underestimated among cirrhosis patients. The current study assessed the magnitude, clinical characteristics, and implications of HD in cirrhosis patients as compared to the patients with type-2 diabetes mellitus (T2DM) and non-diabetes (ND) cirrhosis.

Methods

In a prospective observational study, 338 consecutive eligible cirrhosis patients were screened for diabetes mellitus. A 2-hour oral glucose tolerance test (OGTT) was used to detect HD. The clinical characteristics, complications, and outcomes were ascertained and compared amongst HD, T2DM, and ND patients.

Results

In the final study cohort of 316 patients, the proportion of HD, T2DM, and ND was 22.5% (n = 71), 26.3% (n = 83), and 51.3% (n = 162), respectively. HD was the predominant form of diabetes (68.9%) in Child-Pugh class-C cirrhosis. The majority (73%) of HD patients had abnormal OGTT without fasting hyperglycaemia. A lower cut-off of 98.5 mg/dl for fasting blood glucose had a modest sensitivity (72%) and specificity (75%) for predicting HD. In comparison to T2DM patients, HD patients were younger, leaner, and had more advanced cirrhosis. In comparison to ND patients, HD patients were leaner but had higher glycemic indices, serum cholesterol, and arterial ammonia levels. During a median follow-up period of 12 (03-21) months, the frequency of hepatic encephalopathy and variceal haemorrhage were higher in HD and T2DM patients compared to that in the ND group.

Conclusions

HD is prevalent in about one fifth of cirrhosis patients. It differs from T2DM and ND in a number of ways, and has association with complications of cirrhosis.

Sarcopenia and frailty among the elderly population in the community: An observational study

Context

There are few studies on the prevalence of sarcopenia and frailty in India.

Aims

The aim of this study was to assess sarcopenia and frailty using simple clinical tools among the elderly population in the community.

Settings and Design

This was an observational study. The elderly population with an age group of >60 years residing in villages within 10-15 km of Sumandeep Vidyapeeth, Vadodara, formed the sampling frame of the study.

Methods and Material

A total of 785 participants were approached, of whom 556 were included in the study based on inclusion criteria. Participants were assessed for grip strength, muscle mass, gait speed, and frailty.

Statistical Analysis Used

The data were analyzed using STATA-IC statistical software version 13. A nonparametric Chi-square (χ2) test was used for categorical variables, and an independent-samples t-test was used to analyze the difference between various variables. Statistical significance was considered at P < 0.05 with a 95% confidence interval (CI).

Results

Based on the Indian criteria, 205 participants (36.1%) were diagnosed as having sarcopenia, and 351 participants (63%) were diagnosed as having "no sarcopenia." 5.6% of participants were found to be frail, 19.2% to be pre-frailty, and 75.2% to be no frailty. The χ2 analysis showed a significant association of sarcopenia with gender and different age groups (P value < 0.001).

Conclusions

In this study, 36.9% of the elderly participants were found to have "sarcopenia," and 5.6% of the participants had frailty. Simple clinical tools used were easy to administer and suitable for field screening.

Development and validation of a predictive model assessing the risk of sarcopenia in rheumatoid arthritis patients

Background

Sarcopenia is linked to an unfavorable prognosis in individuals with rheumatoid arthritis (RA). Early identification and treatment of sarcopenia are clinically significant. This study aimed to create and validate a nomogram for predicting sarcopenia risk in RA patients, providing clinicians with a reliable tool for the early identification of high-risk patients.

Methods

Patients with RA diagnosed between August 2022 and January 2024 were included and randomized into training and validation sets in a 7:3 ratio. Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis and multifactorial logistic regression analysis were used to screen the risk variables for RA-associated muscle loss and to create an RA sarcopenia risk score. The predictive performance and clinical utility of the risk model were evaluated by plotting the receiver operating characteristic curve and calculating the area under the curve (AUC), along with the calibration curve and clinical decision curve (DCA).

Results

A total of 480 patients with RA were included in the study (90% female, with the largest number in the 45-59 age group, about 50%). In this study, four variables (body mass index, disease duration, hemoglobin, and grip strength) were included to construct a nomogram for predicting RA sarcopenia. The training and validation set AUCs were 0.915 (95% CI: 0.8795-0.9498) and 0.907 (95% CI: 0.8552-0.9597), respectively, proving that the predictive model was well discriminated. The calibration curve showed that the predicted values of the model were basically in line with the actual values, demonstrating good calibration. The DCA indicated that almost the entire range of patients with RA can benefit from this novel prediction model, suggesting good clinical utility.

Conclusion

This study developed and validated a nomogram prediction model to predict the risk of sarcopenia in RA patients. The model can assist clinicians in enhancing their ability to screen for RA sarcopenia, assess patient prognosis, make early decisions, and improve the quality of life for RA patients.

The Role of Combined Muscle Ultrasound and Bioimpedentiometry Parameters for Sarcopenia Diagnosis in a Population of Hospitalized Older Adults

BACKGROUND

For the study of quantitative and qualitative muscle parameters, ultrasound and bioelectric impedance analysis are reliable, non-invasive, and reproducible. The aim of this study was to test the combined role of those techniques for the diagnosis of sarcopenia in a population of hospitalized older males and females.

METHODS

A total of 70 subjects were recruited, including 10 healthy adults and 60 hospitalized elderly patients with a good level of independence and cooperation, with and without sarcopenia. The rectus femoris cross-sectional area (CSA), thickness, echogenicity, and compressibility were measured with ultrasound echography. The phase angles (PhAs) and skeletal muscle mass were calculated by bioimpedence analysis. The muscle quality index (MQI) was calculated as the product of CSA and PhA.

RESULTS

Muscle compressibility was greater and PhA was lower in sarcopenic when compared with non-sarcopenic subjects. The threshold values for sarcopenia diagnosis in both sexes of CSA, of PhA, and of the MQI were identified. The obtained CSA values showed an AUC of 0.852 for women and 0.867 for men, PhA of 0.792 in women and 0.898 in men, while MQI was 0.900 for women and 0.969 for men.

CONCLUSIONS

The newly calculated cut-off values of CSA, PhA, and MQI predicted the presence of sarcopenia with good sensitivity and specificity values. The use of the MQI proved to be more promising than the separate use of CSA and PhA in both male and female subjects.

Inflammatory depression is associated with selective glomerular hypofiltration

BACKGROUND

Systemic low-grade inflammation may be a pathophysiological mechanism in a subtype of depression. In this study we investigate a novel candidate mechanism of inflammatory depression - Selective Glomerular Hypofiltration Syndromes (SGHS) - which are characterized by a reduced estimated glomerular filtration rate (eGFR) based on cystatin C (cysC) relative to eGFR based on creatinine (crea). SGHS have been associated with increased blood levels of pro-inflammatory markers, but have never been investigated in a sample of depressed individuals.

METHOD

The prevalence of SGHS was compared between 313 patients with difficult-to-treat depression and 73 controls. Since there is no single established eGFRcysC/eGFRcrea-ratio cut-off to define SGHS, several cut-offs were investigated in relation to a depression diagnosis, inflammation, and symptom severity. Plasma inflammatory markers tumor necrosis factor alpha (TNF-α), interferon gamma (IFN-γ), interleukin (IL)-6, IL-8, and IL-10 were available from 276 depressed patients. We examined mediation effects of IL-6 on the relationship between SGHS and depression.

RESULTS

Depressed patients were more likely to have SGHS compared to controls defining SGHS as either eGFRcysC/eGFRcrea-ratio < 0.9 (33.2 % vs 20.5 %, p = 0.035) or < 0.8 (15.7 % vs 5.5 %, p = 0.023). Lower eGFRcysC/eGFRcrea-ratio was associated with higher levels of inflammatory markers in depressed patients. IL-6 partly mediated the relationship between SGHS and depression.

CONCLUSION

This is the first study to demonstrate a link between SGHS and inflammatory depression. If replicated in independent and longitudinal cohorts, this may prove to be a relevant pathophysiological mechanism in some cases of depression that could be targeted in future intervention and prevention studies.

Unraveling the enigma of sarcopenia and sarcopenic obesity in Indian adults with type 2 diabetes - a comparative cross-sectional study

BACKGROUND

Sarcopenia and sarcopenic obesity are growing concerns associated with increasing diabetes incidence, but data from Indian diabetic cohorts are limited. This study examined the prevalence and clinical factors associated with sarcopenia and sarcopenic obesity.

METHODS

In this cross-sectional study, 750 participants aged 35-70 years were recruited by systematic stratification and a fixed quota sampling technique from medical camps and categorized into diabetic (n = 250), nondiabetic (n = 250), and obese nondiabetic (n = 250) groups. The assessments included questionnaires, muscle mass estimation by bioimpedance analysis, and blood tests. Sarcopenia was defined using the Asian Working Group consensus, and sarcopenic obesity was defined as sarcopenia with a BMI ≥ 25 kg/m2. Logistic regression was used to analyze risk factors.

RESULTS

Sarcopenia affected 60% of diabetic patients, 28% of nondiabetic patients, and 38% of nonobese nondiabetic patients (p < 0.001). The prevalence of sarcopenic obesity was 40%, 11%, and 30%, respectively (p < 0.001). Diabetes was associated with 2.3-fold greater odds (95% CI 1.1-4.7) of sarcopenia and 2.4-fold greater odds (1.1-5.0) of sarcopenic obesity after adjustment. A duration greater than 10 years, uncontrolled diabetes, age greater than 65 years, low physical activity, hypertension, and dyslipidemia also independently increased the odds.

CONCLUSION

Indian adults with type 2 diabetes have a high burden of sarcopenia and sarcopenic obesity. Early optimization of diabetes care and lifestyle changes are vital for preserving muscle health.

Predictors for Failed Removal of Nasogastric Tube in Patients With Brain Insult

OBJECTIVE

To construct a prognostic model for unsuccessful removal of nasogastric tube (NGT) was the aim of our study.

METHODS

This study examined patients with swallowing disorders receiving NGT feeding due to stroke or traumatic brain injury in a regional hospital. Clinical data was collected, such as age, sex, body mass index (BMI), level of activities of daily living (ADLs) dependence. Additionally, gather information regarding the enhancement in Functional Oral Intake Scale (FOIS) levels and the increase in food types according to the International Dysphagia Diet Standardization Initiative (IDDSI) after one month of swallowing training. A stepwise logistic regression analysis model was employed to predict NGT removal failure using these parameters.

RESULTS

Out of 203 patients, 53 patients (26.1%) had experienced a failed removal of NGT after six months of follow-up. The strongest predictors for failed removal were age over 60 years, underweight BMI, total dependence in ADLs, and ischemic stroke. The admission prediction model categorized patients into high, moderate, and low-risk groups for removal failure. The failure rate of NGT removal was high not only in the high-risk group but also in the moderate-risk groups when there was no improvement in FOIS levels and IDDSI food types.

CONCLUSION

Our predictive model categorizes patients with brain insults into risk groups for swallowing disorders, enabling advanced interventions such as percutaneous endoscopic gastrostomy for high-risk patients struggling with NGT removal, while follow-up assessments using FOIS and IDDSI aid in guiding rehabilitation decisions for those at moderate risk.

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.

Social network associated with depressed mood and sarcopenia among older adults in Taiwan

BACKGROUND

Social isolation is increasing in aging societies; however, its relationship with depressed mood and sarcopenia is not well studied. This study aims to examine the influence of social network on depressed mood and sarcopenia among community-dwelling older adults in Taiwan.

METHODS

We collected data from a sample of 981 older adults residing in the community. These individuals received government-subsidized preventive healthcare services for adults at a district hospital in Taipei in 2021. The social network of the older adults who participated was assessed using the Lubben Social Network Scale, while depressed mood was assessed using the Geriatric Depression Scale. The definition of sarcopenia used in this study was based on the 2019 Asian Working Group for Sarcopenia.

RESULTS

According to this study, sarcopenia was present in approximately 15 % of older adults. Multiple logistic regression analysis showed that older adults who had poor social network and did not meet the recommended 150 min of regular physical activity per week were more likely to have depressed mood. Additionally, older adults who were older, underweight, did not engage in regular physical activity, and had poor social network were more likely to have sarcopenia.

CONCLUSION

Poor social network was associated with increased risks of depressed mood and sarcopenia among older adults.

How are APOE4, changes in body weight, and longevity related? Insights from a causal mediation analysis

The ε4 allele of the APOE gene (APOE4) is known for its negative association with human longevity; however, the mechanism is unclear. APOE4 is also linked to changes in body weight, and the latter changes were associated with survival in some studies. Here, we explore the role of aging changes in weight in the connection between APOE4 and longevity using the causal mediation analysis (CMA) approach to uncover the mechanisms of genetic associations. Using the Health and Retirement Study (HRS) data, we tested a hypothesis of whether the association of APOE4 with reduced survival to age 85+ is mediated by key characteristics of age trajectories of weight, such as the age at reaching peak values and the slope of the decline in weight afterward. Mediation effects were evaluated by the total effect (TE), natural indirect effect, and percentage mediated. The controlled direct effect and natural direct effect are also reported. The CMA results suggest that APOE4 carriers have 19%-22% (TE p = 0.020-0.039) lower chances of surviving to age 85 and beyond, in part, because they reach peak values of weight at younger ages, and their weight declines faster afterward compared to non-carriers. This finding is in line with the idea that the detrimental effect of APOE4 on longevity is, in part, related to the accelerated physical aging of ε4 carriers.

Validity of the modified versions of SARC-F+EBM for sarcopenia screening and diagnosis in China: the PPLSS study

BACKGROUND AND OBJECTIVES

It is recommended by Asian Working Group for Sarcopenia to early identify people at risk for sarcopenia using simple screening tools like SARC-F. The modified version SARC-F+EBM showed higher diagnostic performance. However, this cut-off value of body mass index (BMI) remained uncertain to be used in Chinese population. In this study, we used appropriate BMI recommended for Chinese older population and further modified SARC-F+EBM by combining calf circumference.

METHODS AND STUDY DESIGN

Diagnostic tests were performed and the receiver operating characteristics analyses were conducted between the SARC-F, SARC-F+EBM (cut-off of BMI: ≤ 21 kg/m2), SARC-F+EBM (CN) (cut-off of BMI: ≤ 22 kg/m2), SARC-CalF and SARC-CalF+EBM (CN) (cut-off of BMI: ≤ 22 kg/m2) in 1660 community-dwelling participants aged ≥ 65 years from China.

RESULTS

The participants had an average age of 71.7±5.1 years, of which 56.8% were women. All the modified models could enhance the areas under the receiver operating characteristic curve (AUC) of original SARC-F (all p<0.001). The SARC-F+EBM (CN) also showed a significantly higher sensitivity of 47.4% (p<0.001) and an AUC of 0.809 (p=0.005) than SARC-F+EBM. SARC-CalF+EBM (CN) was validated to be of great diagnostic value of the highest AUC of 0.88 among these sarcopenia screening tools, including SARC-F, SARC-CalF and SARC-F+EBM (CN) (all p<0.001). Using this study population as a reference, the optimal cut-off value of SARC-CalF+EBM (CN) is ≥12 points, with a sensitivity of 79.3% and a specificity of 80.7%.

CONCLUSIONS

The SARC-F+EBM (CN) and SARC-CalF+EBM (CN) could enhance the diagnostic performance of SARC-F and SARC-F+EBM and are suitable sarcopenia screening tools for Chinese population.

Prevalence and factors associated with sarcopenia among older adults in a post-acute hospital in Singapore

BACKGROUND

Sarcopenia is common in older adults worldwide, but its prevalence varies widely owing to differences in diagnostic criteria, population sampled, and care setting. We aimed to determine the prevalence and factors associated with sarcopenia in patients aged 65 and above admitted to a post-acute hospital in Singapore.

METHODS

This was a cross-sectional study of 400 patients recruited from a community hospital in Singapore. Data including socio-demographics, physical activity, nutritional status, cognition, clinical and functional status, as well as anthropometric measurements were collected. Sarcopenia was defined using the Asian Working Group for Sarcopenia 2019 criteria [AWGS2019].

RESULTS

Of the 383 patients with complete datasets, overall prevalence of sarcopenia was 54% while prevalence of severe sarcopenia was 38.9%. Participants with increased age, male gender and a low physical activity level were more likely to be sarcopenic, while those with higher hip circumference and higher BMI of ≥27.5m/kg2 were less likely to be sarcopenic. Other than the above-mentioned variables, cognitive impairment was also associated with severe sarcopenia.

CONCLUSIONS

More than 1 in 2 older adults admitted to a post-acute hospital in Singapore are sarcopenic. There is an urgent need to address this important clinical syndrome burden and to identify patients at risk of sarcopenia in post-acute settings in Singapore for early intervention.