Cut-off points for height, weight and body mass index adjusted bioimpedance analysis measurements of muscle mass with use of different threshold definitions

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.

Body composition assessment for sarcopenic obesity and 3-year mortality in older adults: A comparison study

BACKGROUND

There is no universally accepted definition of sarcopenic obesity (SO), and its prevalence is ambiguous. This study aimed to investigate the prevalence of SO in older adults based on different definitions and determine which predicts all-cause mortality.

METHODS

This prospective longitudinal follow-up study included outpatients aged ≥60 years. SO was defined by sarcopenia definition based on the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria plus obesity. Three different methods were used to define obesity. Body mass index (BMI) ≥ 30 kg/m2, waist circumference (WC) ≥ 102 cm for men and ≥88.0 cm for women, and body fat percentage (BF%) ≥ 37.3% for men and ≥51.1% for women. Different definitions of SO and their mortality predictions were compared.

RESULTS

The median age of the 584 patients in the study was 70.0 (interquartile range, 66.0-76.0) years. The prevalence of sarcopenia was 38.5% (47.5% in men and 35.7% in women). The prevalence of SO based on BMI, WC, and BF% was 15.3%, 16.4%, and 10.5%, respectively. The mortality rate was 6.7%. SO based on BMI (odds ratio [OR], 2.73; 95% CI, 1.12-17.9; P = 0.024) and BF% (OR, 1.43; 95% CI, 1.19-3.02; P = 0.007) were significantly associated with 3-year mortality after adjusting for the confounding variables of age, sex, and number of comorbidities. SO based on WC was not associated with mortality (OR, 0.78; 95% CI, 0.07-1.27; P = 0.104).

CONCLUSION

The use of BF% and BMI for defining SO is appropriate in outpatient older adults.

Clinical validation of SARC-F by proxy as a practical tool to evaluate sarcopenia in dependent older adults

INTRODUCTION

Sarcopenia is a prevalent disorder in older adults with significant adverse outcomes and regular screening is recommended for those at risk. The SARC-F questionnaire is the most commonly recommended screening tool for sarcopenia. However, as a self-reported tool, it cannot be applied to dependent individuals with communication problems. We hypothesized that implementation of the proxy-reported SARC-F (SARC-F by proxy) would be non-inferior in screening sarcopenia when compared with the standard SARC-F. Thus, we aimed to investigate the clinical validity of the SARC-F by proxy in identifying sarcopenia in older adults and to compare its performance with the standard SARC-F. Additionally, we aimed to determine the ideal cut-off of SARC-F by proxy in screening sarcopenia.

MATERIALS AND METHODS

This is a validation study including older adults aged ≥60 years without communication problems and their close proxies. The participants were recruited from a geriatric outpatient clinic of a tertiary health center and a nursing home. Standard SARC-F was transformed to SARC-F by proxy and administered to the proxies of older adults, and standard SARC-F was administered to the patients simultaneously in different rooms. We defined sarcopenia as probable and confirmed by the EWGSOP2 consensus report. We performed receiver operating characteristics (ROC) and sensitivity/specificity analyses of SARC-F by proxy for diagnosing sarcopenia and compared its performance with standard SARC-F by the DeLong test.

RESULTS

We included 172 older adults (median age: 72; 44.8% female) and 107 proxies in close contact (median age: 55, 63.2% female). The prevalence of probable and confirmed sarcopenia was 18.9% and 12.9%, respectively. For both definitions, area under the curve (AUC) values of SARC-F by proxy and standard SARC-F were moderate and similar [probable sarcopenia: 0.619 and 0.624 (p = 0.9); confirmed sarcopenia 0.613 and 0.645 (p = 0.7), respectively]. The best balance between sensitivity and specificity was achieved with a SARC-F by proxy score of ≥2 for both sarcopenia definitions (sensitivity levels were 74.7% and 77.8%, and specificity levels were 50.0% and 49.6%, for probable and confirmed sarcopenia, respectively).

DISCUSSION

SARC-F by proxy showed a similar, non-inferior performance compared to the standard SARC-F in the evaluation of sarcopenia. Our results suggest that it can be used instead of standard SARC-F to screen sarcopenia in older patients with communication problems. Further validation studies in different populations are warranted to support our findings.

The impact of sarcopenia and obesity on mortality of older adults: five years results

AIM

Sarcopenia and obesity can cause severe physical and metabolic complications. We aimed to investigate the risk of mortality associated with sarcopenia and obesity in older adults.

METHOD

We designed a retrospective, observational cohort study showing the 5-year mortality of older patients in a tertiary geriatric outpatient clinic. Sociodemographic characteristics, medical history, anthropometric measurements, medications, and comorbidities were recorded. Sarcopenia was evaluated with skeletal muscle mass, handgrip strength, and gait speed. We defined sarcopenic obesity as sarcopenia plus obesity (as a body mass index ≥ 30 kg/m2). We classified the participants into four groups according to whether they were sarcopenic and/or obese: non-sarcopenic non-obese, non-sarcopenic obese, sarcopenic non-obese, and sarcopenic obese. The final overall survival of the patients was obtained from the hospital data system.

RESULTS

Of the 175 patients, the mean age was 76.1 ± 6.4, and the majority were female (n = 120). Sixty-eight had sarcopenia (39%). The prevalence of obesity was 27%. Thirty-eight patients had died within five years (22%). The mortality rate was significantly higher in the oldest (age 85 and above) and sarcopenic groups (p < 0.001, 0.004, respectively). The mortality rate was highest in the sarcopenic obese group (40.9%). Age (HR: 1.13, 95% CI: 1.07-1.19, p: < 0.001), sarcopenic obesity (HR: 4.85, 95% CI: 1.91-12.31, p: 0.001), sarcopenia (HR: 2.26, 95% CI: 1.15-4.43, p: 0.018) and obesity (HR: 2.15, 95% CI: 1.11-4.17, p: 0.023) were independently associated with mortality at 5 years. The Kaplan-Meier analysis and Log-Rank test showed that sarcopenic obese patients had the highest cumulative mortality incidence rates.

CONCLUSION

Sarcopenic-obese participants had the highest mortality incidence compared to those without obesity or sarcopenia. In addition, the presence of sarcopenia or obesity alone also had a significant role in mortality risk. So, we should especially focus on maintaining or increasing muscle mass and preventing obesity.

Poor sleep quality is an overlooked risk for geriatric syndromes in older adults with type 2 diabetes mellitus

BACKGROUND

Aging and type 2 diabetes mellitus (DM) are two different conditions that impair sleep quality. The primary objective of this study was to investigate the impact of sleep quality on geriatric syndromes in older diabetic adults.

METHODS

Comprehensive geriatric assessment was performed on 236 patients. The assessment included the Geriatric Depression Scale (GDS), Beck Anxiety Inventory (BAI), European Quality of Life Questionnaire (EQ-5D), Mini Mental Statement Examination (MMSE), Pittsburgh Sleep Quality Index (PSQI), Mini Nutritional Assessment, and measurement of handgrip strength (HGS).

RESULTS

Of the participants, 55% had DM, and 61.4% had poor sleep quality. Poor sleep prevalence was higher in diabetic patients (68.5%) than in non-diabetics (52.8%). Diabetic patients with poor sleep quality had higher frequencies of chronic pain, recurrent urinary tract infections, confirmed sarcopenia, and frailty (p = 0.015, p < 0.001, p = 0.027, and p < 0.001, respectively), a higher number of comorbidities and higher GDS and BAI scores (p = 0.046, p < 0.001 and p < 0.001, respectively), and lower scores of activities of daily living, HGS, and EQ-5D index (p = 0.023, p = 0.004, and p < 0.001, respectively) compared to diabetic patients with good sleep quality. According to the correlation analysis results, PSQI score had a positive correlation with GDS score (r = 0.461, p < 0.001) and a negative correlation with Mini Nutritional Assessment score (r = -0.317, p < 0.001), skeletal muscle mass index (r = -0.283, p = 0.002) and HGS (r = -0.307, p < 0.001) scores in diabetic older adults.

CONCLUSION

Poor sleep quality in older diabetic patients has a negative impact on several geriatric syndromes. Our findings suggest that poor sleep quality is an independent risk factor for depression, malnutrition, and lower muscle mass in older diabetic adults. Improving sleep quality may play a crucial role in preventing and managing geriatric syndromes in this population.

Cut-off points for low skeletal muscle mass in older adults: Colombia versus other populations

Background: The European Working Group on Sarcopenia in the Elderly defined sarcopenia as a geriatric syndrome with a diagnostic criteria of low skeletal muscle mass (LMM). Various sarcopenia consensuses recommend as cut-offs for LMM, the use of below 2 SDs from the mean skeletal muscle mass index (SMI) of a young reference group. Given the contrast between reported cut-offs, the objective of this study was to establish cut-offs for LMM from older adults in Manizales and compare them with those published in the literature. Methods: This was a prospective, cross-sectional analytical study in 237 healthy elderly patients from the city of Manizales, Colombia. Anthropometric measurements of weight, height and body mass index were estimated. The SMI was estimated with the Xitron Technologies bioimpedance meter using the Janssen formula. For the comparison of SMI cut-offs, studies that evaluated this parameter with bioelectrical impedance analysis (BIA) were taken into account, in addition to being obtained from the -2 SD from the sex-specific mean of a young reference group. Results: The cut-off points for SMI were 8.0 kg/m 2 for men and 6.1 kg/m 2 for women. There was a statistically significant difference when evaluating LMM from the cut-offs of the present study and those reported in Spain, Turkey, and Finland. The cut-off points of SMI derived from this sample of Colombian men and women may be adequate for the diagnosis in the Colombian geriatric population. However, we did not find significant differences when comparing the cut-offs for SMI from a population of older adults and young adults from the same city. Conclusions: The cut-off points of SMI by BIA derived from a sample of Colombian men and women may be adequate for the diagnosis of LMM in the Colombian geriatric population or populations with similar characteristics to those of the sample evaluated here.

Recurrent lower urinary tract infections: more than an infection for older women

Background/aim

Older adults tend to have more urinary tract infections (UTIs). The frequency of recurrent lower urinary tract infections (rLUTIs) increases with age. rLUTIs are associated with long-term chronic effects on geriatric syndromes in older adults. We aimed to investigate possible risk factors that influence rLUTIs in older adults based on comprehensive geriatric assessment (CGA).

Materials and methods

This cross-sectional study included 235 older adults admitted to Gaziantep University's Geriatric Outpatient Clinic between June 1 and November 30, 2022. All patients underwent CGA. The Geriatric Depression Scale (GDS), the European Quality of Life-Five Dimension (EQ-5D) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), the Katz Index of Activities of Daily Living (ADL), the Lawton and Brody Index of Instrumental Activities of Daily Living (IADL), and the Mini Nutritional Assessment (MNA) tool were,administered. Handgrip strength (HGS) and gait speed were also measured, and the number of falls in the last year was recorded.

Results

The mean age of the participants was 72.8 ± 6.8 years and 61.3% were female. Sixty-four patients had rLUTIs. The rLUTI group had higher frequencies of sarcopenia, hypertension, and diabetes; higher numbers of comorbidities and medications; higher GDS and PSQI scores; and more reported falls. They had lower ADL, MNA, EQ-5D, and gait speed scores. HGS was found to be lower in women with rLUTIs. Higher numbers of comorbidities and GDS scores and lower HGS were independent predictors of rLUTIs in women (p = 0.011, OR: 1.75; p = 0.018, OR: 1.14; and p = 0.042, OR: 0.91, respectively).

Conclusion

We revealed that decreased HGS, higher GDS, and the number of comorbidities in older women were independent risk factors for rLUTIs. Our findings offer a new perspective on the importance of CGA in diagnosing and preventing rLUTIs.

Risk factors of poor sleep quality in older adults: an analysis based on comprehensive geriatric assessment

OBJECTIVES

Sleep quality is associated with many diseases and conditions that affect individuals' health in various ways. We aimed to investigate the association between sleep quality and common geriatric conditions in older adults.

METHODS

The study included 237 older adults admitted to the geriatric outpatient clinic of a university hospital. All patients underwent comprehensive geriatric assessment (CGA). The Geriatric Depression Scale (GDS), Beck Anxiety Inventory (BAI), European Quality of Life (EQ-5D), Pittsburgh Sleep Quality Index (PSQI), Katz Index of Independence in Activities of Daily Living (ADL) and Lawton and Brody Instrumental Activities of Daily Living (IADL) questionnaires, Tinetti Balance and Gait Assessment (TBGA), and Mini Nutritional Assessment (MNA) were performed on the participants.

RESULTS

Participants had a mean age of 72.2 ± 6.3 years, and 146 (61.6%) of them had poor sleep quality. Of the participants, 61.2% were female. In the poor sleep quality group, GDS and BAI scores were higher while ADL, IADL, MNA, and EQ-5D index scores were lower. PSQI score had a negative correlation with ADL (r = -.207, p = .01), EQ-5D index (r = -.372, p = .00), MNA (r = -.277, p = .00), and TBGA (r = -.263, p = .41) scores and a positive correlation with GDS (r = .426, p = .00) and BAI (r = .450, p = .00) scores according to the results of correlation analysis. Multivariate logistic regression analysis showed that the presence of diabetes mellitus (DM) and higher GDS and BAI scores were independent variables for poor sleep quality [(p = .48, OR = 1.92; p = .20, OR = 1.11; and p <.01, OR = 1.11, respectively)].

CONCLUSIONS

We found that DM and depressive and anxiety symptoms were the risks of poor sleep quality. In addition, participants with poor sleep quality had a worse quality-of-life and nutritional status. Improving sleep quality may be helpful in the management of geriatric syndromes and that sleep quality assessment should be part of CGA.

The role of comprehensive geriatric assessment in predicting fall risk

BACKGROUND

The prevention of falls among older adults is one of the most important public health issues in today's aging society. There are many factors significantly affecting the risk of falls.

AIMS

This study aimed to investigate the factors on fall risk in older adults.

METHODS

A total of 335 elderly outpatients aged 65 and over were included in this cross-sectional study. Comprehensive geriatric assessment was performed on the participants. Tinetti Balance and Gait Assessment Tool (TBGA) and Mini-Mental State Examination (MMSE) were used to assess fall risk and cognitive functions, respectively.

RESULTS

The mean age of 335 participants was 72.1 ± 6.0 years and 55.2% was female. Of the participants, 40.6% had a moderate-high fall risk according to TBGA and 31.6% had a history of falls within the last year. Although there was no significant difference in MMSE results between the medium-high fall risk group and the low fall risk group, higher MMSE attention and calculation domain score was found to be an independent variable for decreased fall risk and sarcopenia for increased fall risk (p = 0.039, OR = 0.70 and p = 0.037, OR = 3.43, respectively).

CONCLUSION

The role of sarcopenia in fall risk is well established. In this study, we also showed that attention and calculation play important roles in fall risk. Elderly individuals with low scores in attention and calculation domains need a more detailed assessment in terms of fall risk, even if cognitive functions are considered normal according to the MMSE.

Depressive symptoms are associated with sarcopenia and malnutrition in older adults

BACKGROUND

Depression is one of the most common mental disorders among older adults and depressive symptoms are strongly associated with adverse health outcomes. We aim to examine whether depressive symptoms are associated with sarcopenia and malnutrition in older adults.

METHODS

We reviewed hospital records of 447 patients (≥65 years) who were admitted to the outpatient clinics, retrospectively. In addition to demographic characteristics, all participants were measured for usual gait speed (UGS), handgrip strength (HGS) and skeletal muscle mass (SMMI) by using bioelectrical impedance analysis. The Geriatric Depression Scale (GDS) was used to assess depressive symptoms. Nutritional status was screened by a mini-nutritional assessment (MNA). Cognitive function was assessed from the Mini-Mental State Examination (MMSE).

RESULTS

Of the 215 participants who remained after performing exclusion criteria (a clinical diagnosis of dementia (n 63), stroke (n 61), Parkinson's disease or other neurodegenerative disease (n 30), previous depression diagnosis or antidepressant medication use (n 144)), the mean age was 78 ± 8.3, the majority were female (n 133) and almost half had depressive symptoms (49.3%). Thirty-six percent had malnutrition, and 23 % had sarcopenia. The participants with depressive symptoms had lower MMSE scores (P < 0.001) and correlated with muscle mass (P < 0.001, r = -0.382), muscle strength (P < 0.001, r = -0.288), and MNA (P < 0.001, r = 0.355). Multivariate logistic regression showed that depressive symptoms were independently associated with low muscle strength (HGS: odds ratio (OR) 0.913, 95% CI: 0.866-0.962, P = 0.001), low muscle mass (SMMI: OR, 0.644, 95% CI: 0.509-0.814, P < 0.001), sarcopenia (OR, 2.536, 95% CI: 1.256-5.117, P = 0.009) and malnutrition (OR, 2.667, 95% CI: 1.467-4.850, P = 0.001).

CONCLUSION

This study demonstrated that depressive symptoms were independently associated with sarcopenia and malnutrition in older adults. Depressive disorders may lead to impaired cognitive dysfunction. Older adults at increased risk of sarcopenia and malnutrition should be screened for depression earlier.

Probable sarcopenia: associations with common geriatric syndromes and comorbidities in Turkish geriatric patients from a university hospital

PURPOSE

EWGSOP2 defines "probable sarcopenia" as the presence of low muscle strength without non-muscle causes. The associations of probable sarcopenia have been studied in few reports to date, and our intention in this study is to identify associations of probable sarcopenia with common geriatric syndromes in a sample of older adults who attended the geriatric outpatient clinic of Istanbul University Hospital.

METHODS

The present study was designed as a retrospective cross-sectional study. We performed a comprehensive geriatric assessment to the participants. Univariate analyses were performed to determine relationship of probable sarcopenia with age, sex, common geriatric syndromes, i.e., frailty, falls, polypharmacy, malnutrition, and comorbidities, i.e., diabetes mellitus, hypertension, chronic kidney disease, chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), depression, osteoporosis, and the variables found to be significant were included in logistic regression analyses. The results are presented as an odds ratio (OR), with a 95% confidence interval (CI).

RESULTS

Included in the study were 456 participants with a mean age of 74.6 ± 6.6 years, of which 71.1% were female. Probable sarcopenia was identified in 12.7% (n = 58) of the sample. A multivariate analysis was carried out, the factors associated with probable sarcopenia were identified as male sex (OR 0.269, 95% CI 0.142-0.510), frailty (OR 4.265, 95% CI 2.200-8.267) and chronic kidney disease (OR 3.084, 95% CI 1.105-8.608).

CONCLUSION

Probable sarcopenia was more significantly associated with frailty than with other geriatric syndromes, signifying its importance as a marker for frailty. The study further identified chronic renal failure as a factor significantly associated with probable sarcopenia among the variety of studied diseases that frequently accompany aging.

Increased Carcinoembryonic Antigen (CEA) Level Is Highly Associated with Low Skeletal Muscle Mass in Asymptomatic Adults: A Population-Based Study

We investigated the relationship between high carcinoembryonic antigen (CEA) levels and low skeletal muscle mass (LMM) in asymptomatic adults in a population-based study. A total of 202,602 adults (mean age 41.7 years) without malignancy, stroke, cardiovascular disease, or chronic lung/liver disease were included. A high CEA level was defined as ≥5 ng/mL. Skeletal muscle mass index (SMI) was calculated based on appendicular muscle mass (kg)/height (m)2. Participants were classified into three groups based on SMI: “normal”, “mild LMM”, and “severe LMM.” The prevalence of elevated CEA levels was the highest in subjects with severe LMM (4.2%), followed by those with mild LMM (1.6%) and normal muscle mass (1.1%) (p for trend < 0.001). In multivariate logistic regression analysis, high CEA was independently associated with having mild LMM (adjusted odds ratio, 1.139 [95% confidence interval, 1.092−1.188]) and severe LMM (2.611 [2.055−3.319]) compared to normal muscle mass. Furthermore, the association between high CEA and severe LMM was stronger in women than that in men (women, 5.373 [2.705−10.669]; men, 2.273 [1.762−2.933]). Elevated CEA levels were significantly associated with a higher prevalence of LMM. Therefore, increased CEA could be used as a biomarker for detecting LMM in adults without cancer.

Is there a relationship between ACTN3 R577X gene polymorphism and sarcopenia?

BACKGROUND AND AIMS

The alpha-actinin (ACTN) genes are important structural components of the sarcomere. Sarcopenia is a common geriatric syndrome characterized by morbidity and mortality. Our study aimed to examine the relationship between the ACTN3 R577X gene and sarcopenia in community-dwelling Turkish adults.

METHODS

We designed a cross-sectional study among the patients aged ≥ 65 years admitted to the geriatric outpatient clinic. We recorded the general characteristics of the patients. We used the Jamar hand dynamometer to evaluate handgrip strength. Body composition was estimated using bioimpedance analysis. Sarcopenia was diagnosed according to the European Working Group on Sarcopenia in Older People2 criteria with population-specific cutoffs. We performed analyses of low muscle mass (LMM) with skeletal muscle mass index adjusted for body mass index [SMMI(BMI)]. We further categorized the SMMI(BMI) cutoffs into tenths. The analyzes were performed according to the 90th percentile SMMI(BMI) cutoffs. Peripheral blood samples were collected to determine the ACTN3 genotypes.

RESULTS

197 participants were included [mean age: 76.3 ± 6.1 years, 151 (76.6%) women]. The proportions of the ACTN3 genotypes were as follows: RX (45.1%) > RR (31%) > XX (23.9%). The significant difference between genotypes was found only for low SMMI(BMI) according to the 90th percentile (p = 0.025). In multivariate analysis, only gender (female) was independently associated with LMM.

CONCLUSION

We did not find any association between ACTN3 R577X gene polymorphism and probable sarcopenia, confirmed sarcopenia and LMM. Besides, much more research is needed to reveal how ethnicity affects the muscles of older adults with ACTN3 R577X gene polymorphism.

Older cancer patients receiving radiotherapy: a systematic review for the role of sarcopenia in treatment outcomes

BACKGROUND

Previous studies have evaluated the prognostic effects of sarcopenia in cancer patients receiving various treatments, including chemotherapy and surgery, but few studies have focused on radiotherapy (RT).

AIMS

We aimed to investigate the prevalence of sarcopenia and the relationship between sarcopenia and outcomes in older cancer patients who underwent RT without chemotherapy.

METHODS

A systematic review of the literature was conducted in Pubmed/Medline and Cochrane databases in September 2021. We used the search terms and medical subject heading terms "sarcopenia," "low muscle mass (LMM)," "low muscle strength," "LMM and low muscle strength," "LMM and low muscle strength and low physical performance," and "RT." Outcomes were overall survival (OS), progression-free survival, non-cancer death, cancer death, disease-specific survival, local failure-free survival, distant failure-free survival, and RT-related toxicities.

RESULTS

Among 460 studies, 8 studies were eligible for inclusion. The prevalence of sarcopenia was between 42.8% and 72%. Sarcopenia was not associated with OS or OS at 3 years in seven studies in which it was defined as the presence of LMM, while it was related in one study, in which it was defined as the concomitant presence of LMM and muscle strength/function.

DISCUSSION

There was heterogeneity between the studies because there was diversity in their inclusion criteria, definition and assessment methods used for detection of sarcopenia, considered cutoffs for low muscle mass and strength, cross-sectional locations on imaging to assess muscle mass and included covariates. The discrepancy in the results of the studies may also result from the variations in diagnoses, sample sizes, and treatment modalities. The low number of included studies and a small number of patients in each study limited generalizability.

CONCLUSIONS

Sarcopenia may be a prognostic factor, especially in OS when low muscle strength/function is integrated into its definition. We suggest that clinicians focus on muscle strength/function while considering sarcopenia and its association with cancer and RT-related outcomes.

Paving the way for applying GLIM criteria in clinical practice and research: how to define mild to moderate and severe reduced muscle mass

PURPOSE

Among approaches to adjust skeletal muscle mass (SMM) for body size, adjustment for body mass index (BMI) correlated better with functional measures. To enhance applicability of GLIM criteria, we report grade 1 and grade 2 reduced muscle mass cut-offs for SMM adjusted by BMI.

METHODS

301 young, healthy adults involving students, patient relatives and staff working in the university hospital were included. SMM was estimated by bio-impedance analysis (BIA). SMM index (BMI) [SMMI(BMI)] was calculated as SMM/BMI. Grade 1 low muscle mass (LMM) was defined as "mean young SMMI(BMI)-one standard deviation" and grade 2 LMM as "mean young SMMI(BMI)-two standard deviations".

RESULTS

Mean age was 26.5 ± 4.6 (62.1% male). Grade 1 vs grade 2 LMM thresholds were 1.189 and 0.954 kg/BMI vs 1.049 and 0.823 kg/BMI in males and females, respectively.

CONCLUSION

This is the first report identifying stage 1 and stage 2 LMM thresholds for SMMI adjusted by BMI. Studies are needed to evaluate their predictive validity.

Association between anticholinergic drug burden with sarcopenia, anthropometric measurements, and comprehensive geriatric assessment parameters in older adults

BACKGROUND

Older patients use multiple drugs due to their comorbidities and most of these drugs have anticholinergic drug burden (ADB). We aimed to investigate the association between ADB and sarcopenia, anthropometric measurements, and comprehensive geriatric assessment (CGA) parameters in older adults.

METHODS

Patients ≥65 years who applied to geriatrics outpatient clinic between January 2019-March 2020 were included. Patients with cognitive dysfunction were excluded. CGA tests were conducted on patients. Handgrip strength (HGS), bioelectrical impedance analysis (BIA), and a 6-meter walking test were used for sarcopenia definition. The Anticholinergic Cognitive Burden (ACB) scale was used to calculate the ADB.

RESULTS

Totally 256 patients (women/men:180/76) were included. The mean age was 82±6.8. Two groups were created as without ADB (n=116) and with ADB (n=140). Sarcopenia was higher in the ADB group (p=0.04). In women and men as ADB increased HGS decreased (respectively; p=0.023 r=-0.170, p=0.031 r=-0.248) and Basic Activities of Daily Living (BADL) test score increased (respectively; p= <0.001 r= 0.292, p=0.04 r= 0.244). In the linear regression (LR) analysis age and BADL test score had significant association with ADB in women (respectively; p=0.001, p=0.023).

CONCLUSION

The finding that sarcopenia is higher in the patients with ADB and HGS decreases as ADB increases, suggesting that ADB may be a risk factor for sarcopenia by decreasing HGS. Also, it has been determined that, especially in older women, as ADB increases, the dependence on basic daily living activities increases.

Impact of Different Operational Definitions of Sarcopenia on Prevalence in a Population-Based Sample: The Salus in Apulia Study

Background: In 2010, the European Working Group on Sarcopenia in Older People (EWGSOP1) issued its first operational definition to diagnose sarcopenia. This was updated in 2019 with a revised sequence of muscle mass and muscle strength (EWGSOP2). The aim of the study was to investigate the impact of these different operational definitions on sarcopenia prevalence in a representative population-based sample. Methods: For each algorithm, the prevalence of sarcopenia-related categories was calculated and related to sociodemographic and lifestyle variables, anthropometric parameters, and laboratory biomarkers. The present analysis used data from the Salus in Apulia Study (Italy, 740 subjects, mean age 75.5 ± 5.9 years, 54% women). Results: The application of the EWGSOP1 adapted algorithm resulted in 85% [95% confidence intervals (CI): 82–88%] non-sarcopenic subjects, 10% (95% CI: 8–12%) pre-sarcopenic subjects, and 5% (95% CI: 3–7%) sarcopenic/severe sarcopenic subjects. The sarcopenia-related categories were inversely related to weight and body mass index (BMI), particularly in overweight/obese subjects, and these categories showed favorable metabolic biomarkers. The EWGSOP2 algorithm yielded 73% (95% CI: 69–76%) non-sarcopenic subjects, 24% (95% CI: 21–27%) probably sarcopenic subjects, and 4% (95% CI: 2–5%) sarcopenic subjects. Conclusions: The present study identified BMI as a potential confounder of the prevalence estimates of sarcopenia-related categories in population-based settings with different EWGSOP operational definitions.

Do Long-Term Complications of Type 2 Diabetes Increase Susceptibility to Geriatric Syndromes in Older Adults?

Background and Objectives: Type 2 diabetes is one of the common chronic diseases in the elderly. It is thought that long-term complications of type 2 diabetes will negatively affect the quality of life in elderly individuals. It is possible that geriatric syndromes, especially frailty syndrome, are associated with diabetic complications, too. In this study, we aimed to evaluate the effect of macrovascular and microvascular complications of type 2 diabetes on frailty and other geriatric syndromes. In addition, the effect of these complications on quality of life was also reviewed. Materials and Methods: We conducted a cross-sectional study for four months. Comprehensive geriatric assessment tests were done on all patients. The Fried frailty index (FFI) was used for the evaluation of frailty syndrome. We assessed malnutrition by mini nutritional assessment short-form (MNA-SF), and Global Leadership Initiative on Malnutrition criteria (GLIM). The EWGSOP 2 criteria were used for the diagnosis of sarcopenia. Quality of life (QoL) was evaluated using the short form-36 (SF-36) questionnaire. Data analysis was done by SPSS version 22. Results: 237 females and 142 males with a mean age of 71.7 ± 6.1 years were included in the study. The frequency of macrovascular and microvascular complications was 41.4% and 68.1%, respectively. Frailty was found to be associated with macrovascular complications (p = 0.003). Handgrip strength, skeletal muscle mass index, and gait speed were decreased in the presence of macrovascular complications (p = 0.043, p < 0.001, p < 0.001). QoL was also decreased in patients with macrovascular complications (p = 0.003). Nutritional status and handgrip strength were negatively affected in patients with diabetic neuropathy (p = 0.019, p = 0.014). Polypharmacy was also found to be associated with macrovascular complications (p < 0.001, p < 0.001). Macrovascular complications were 2.5 times more common in malnourished patients according to GLIM and 3.2 times more common in patients with decreased gait speed. Conclusion: In this study, we observed that both macrovascular and microvascular complications of diabetes increase susceptibility to geriatric syndromes in elderly individuals. It could be useful to conduct prospective studies in which we can compare the effectiveness of treatment methods on this subject.

Sarcopenia in patients following stroke: an overlooked problem

Our aim was to investigate the prevalence of sarcopenia in stroke patients, the relationship between sarcopenia detected with different low muscle mass (LMM) adjustment methods, and between stroke-related parameters. Eighty-one patients with chronic stroke who underwent inpatient rehabilitation were included. Spasticity was evaluated by modified Ashworth scale, Brunnstrom staging approach was used for motor function evaluation, physical independence was evaluated using Barthel Index, quality-of-life was evaluated by EQ-5D-3L, and the Cumulative Illness Rating Scale was used to measure multimorbidity. Muscle strength was evaluated by handgrip strength, muscle quantity through a bioelectric impedance analysis, and physical performance by gait speed and short physical performance battery. LMM was calculated through two different methods: Skeletal muscle mass (SMM)/height2, and SMM/BMI. For the definition of sarcopenia, we followed the EWGSOP2 recommendation. Associated sarcopenia factors were predicted by multivariate binary logistic regression analysis. The prevalence of probable sarcopenia was 32.1%. The prevalence of confirmed/sarcopenia when LMM was adjusted for BMI was higher than when adjusted for height2 (16 and 1.2%, respectively). Age was significantly higher in those with probable sarcopenia (P = 0.006). Stroke duration was shorter in those with probable or confirmed sarcopenia (P = 0.004, P < 0.001, respectively). EQ-5D-3L scores were significantly lower in those with confirmed sarcopenia (P = 0.050). The strongest associated factor with confirmed sarcopenia was stroke duration (OR: 0.77; 95% CI, 0.618-0.965). This study suggests that prevalence of sarcopenia after a stroke is significantly high. LMM adjusted for BMI comes in front as the adjustment method for LMM after a stroke.

Self Reported Dysphagia is not Associated with Sarcopenia Defined by the Revised EWGSOP2 Criteria and Regional Thresholds at the Hospital Among Ambulatory Older Patients

Introduction:

Dysphagia and sarcopenia are geriatric syndromes, and they are shown to be related. There is no study on dysphagia and sarcopenia with the revised European Working Group on Sarcopenia in Older People (EWGSOP)2 criteria.

Aim:

We aimed to evaluate dysphagia and sarcopenia with the revised criteria implementing regional thresholds for skeletal muscle mass (SMM) in hospitalized older patients.

Methods:

Ambulatory patients ≥60 years of age from the Internal Medicine Department of our hospital were taken into the study. Grip strength, SMM via bioelectrical impedance analysis, nutritional status, dysphagia screening with Eating Assessment Tool-10, prior hospitalizations and diet were evaluated. Sarcopenia was defined by EWGSOP2 criteria using regional SMM thresholds adjusted to body mass index (BMI) (SMMI (BMI)).

Results:

Out of 112, 61 patients were enrolled. Sarcopenia, nutritional risk, and dysphagia were shown in 36.1%, 88.5%, and 14.8% of the patients. The risk of dysphagia was not associated with sarcopenia (p=0.263). Hospitalizations (≥1) in one year with pneumonia, modified diet, malnutrition, and low SMMI (BMI) were more common in patients with dysphagia risk than in the patients without (p=0.001, p<0.01, p=0.011, p=0.008, respectively). The median age and BMI were higher where SMMI (BMI) was lower in the group with dysphagia risk than in the group without (p=0.016, p=0.034, p=0.032), respectively.

Conclusion:

We found that self-reported dysphagia was not associated with sarcopenia defined by the EWGSOP2 criteria in ambulatory hospitalized patients over 60 years of age. Further studies using revised criteria, different adjustments and thresholds are needed to reveal possible differences.

A cross-sectional study on sarcopenia using EWGSOP1 and EWGSOP2 criteria with regional thresholds and different adjustments in a specific geriatric outpatient clinic

PURPOSE

The aim of this study was to determine the prevalence of sarcopenia according to different methods in older outpatients using regional threshold values of muscle mass and muscle strength.

METHODS

We used data from our university hospital's geriatric outpatient clinic specific to endocrinological problems, retrospectively. Sarcopenia was defined according to European Working Group on Sarcopenia in Older People (EWGSOP)1 and EWGSOP2 criteria using regional threshold values of skeletal muscle mass (SMM) with the use of different adjustments, and also according to EWGSOP2 with regional threshold values of grip strength.

RESULTS

Among 248 study participants, 53.6% were obese. There was no sarcopenic patient with the height square adjusted regional SMM thresholds for EWGSOP1 and EWGSOP2. Sarcopenia prevalence was 11.7% with EWGSOP2, and 41.1% by the use of regional grip strength thresholds for EWGSOP2 with body mass index adjustments for SMM. The comparison of EWGSOP1 versus EWGSOP2 was not possible due to lack of sarcopenic patients with height adjustment.

CONCLUSIONS

The prevalence of sarcopenia varied significantly with the application of different adjustment methods for SMM, and the use of regional grip strength thresholds in the specific patient group with normal to overweight and obese individuals. The use of regional thresholds of grip strength increased the prevalence of EWGSOP2-defined sarcopenia. The impact of the adjustment methods, the characteristics of the study population, and the regional thresholds should be taken into consideration while evaluating the results of sarcopenia studies.

Reference values and associated factors of hand grip strength in elderly Saudi population: a cross-sectional study

Background

Hand grip strength (HGS) is an important function of upper extremities for older adults. Several studies have shown the importance of measuring HGS in different settings. Current established normative values of HGS are applicable for Western countries. However, there is limited information of normative values of HGS after considering demographics in Saudi population. Therefore, this study aimed to establish normative values of HGS stratified by age and gender, and to determine the association of anthropometric measurements with the HGS in Saudi population.

Methods

A cross-sectional study included a total of 1048 participants (mean age 73 ± 5 years). Grip strength was calculated by the average peak force of three trials for the dominant hand using a dynamometer. Sociodemographic data on age, gender, marital status, educational levels were collected. Anthropometric measurements including height, body mass index, arm circumference, and upper arm length were obtained. The sample was categorized into three age groups: 65–69 years, 70–74 years, and 75–80 years. Linear regression analysis was used to assess the association between the sociodemographic and anthropometric data and HGS.

Results

The mean values of HGS (kg) for men for each age group were 36.9 ± 8.3 for the younger group, 35.7 ± 7.4 for the 70–74 years group and 30.5 ± 7.1 for the older group. The mean values of HGS for women for each group were 23.2 ± 4.7 for the younger group, 21.1 ± 4.6 for the 70–74 years group and 18.8 ± 4.9 for the older group. The HGS was negatively associated with the age for men (B = -.40, 95% confidence interval (CI) [−.52, −.29], p < 0.001) and women (B = -.30, 95% CI [− 0.38, − 0.22], p < 0.001), and positively associated with the arm length in men (B = .87, 95% CI [.60, 1.15], p < 0.001). The HGS was positively associated with the educational level in men (B = .66, 95% CI [.09,1.21], p = .02), but negatively associated in women (B = -.42, 95% CI [− 0.75, − 0.08], p = .01).

Conclusion

This study is the first that established normative values of HGS for older adults in Saudi Arabia. Future research may benefit from the current normative value of HGS in Saudi population for geriatric rehabilitation programs.