SARC-F Validation and SARC-F+EBM Derivation in Musculoskeletal Disease: The SPSS-OK Study

Urban-rural differences in the prevalence and associated factors of sarcopenia: A systematic review and meta-analysis

BACKGROUND

Loss of muscle mass, muscle strength, and/or physical performance due to aging is known as sarcopenia. Regardless of how serious this illness is, no single diagnostic criteria have been established. Much research conducted recently has demonstrated differences between built environment characteristics (i.e., urban and rural) and the occurrence of sarcopenia; however, variations in sarcopenia prevalence in urban-rural areas around the world have been reported by fewer studies. This work sought to determine how sarcopenia prevalence varied between urban and rural areas and to explore the associated influencing factors.

METHODS

Using the pertinent MESH phrases and free words, PubMed, Web of Science, Embase, and China national knowledge infrastructure databases were scanned for core sarcopenia literature up to February 26, 2023. Observational studies involving urban-rural patients with sarcopenia published in Chinese and English, and assessing muscle mass via computed tomography, bioelectrical impedance, or dual-energy X-ray absorption techniques were considered as inclusion criteria. The meta-analysis involved analysis of the urban-rural prevalence in subgroups by diagnostic criteria, tools for assessing muscle mass and study type, as well as the factors related to urban-rural differences in the occurrence of sarcopenia. STATA version 11.0 was used to perform the statistical analysis.

RESULTS

Sixty-six articles involving 433,091 participants were included for analysis: of which 27 were analyzed for both prevalence and related factors whereas 39 were for only prevalence. The meta-analysis revealed the prevalence of sarcopenia to be 0.18 (95 % CI 0.14-0.22), with significant heterogeneity (P < 0.001; I2 = 99.9 %). Moreover, the prevalence of sarcopenia in urban group [0.16 (I2 = 99.9 %, 95 % CI 0.1-0.22)] was lower than in rural group [0.2 (I2 = 99.6 %, 95 % CI 0.16-0.25)] and urban-rural group [0.21 (I2 = 97.5 %, 95 % CI 0.16-0.25)]. Besides, the factors significantly associated with sarcopenia in urban-rural areas were age, gender, BMI, malnutrition, physical activity, and polypharmacy. There was significant heterogeneity between these factors and the association of sarcopenia.

CONCLUSIONS

Sarcopenia is associated with aspects of the built environment, and studies have revealed that sarcopenia is more common in rural than in urban populations with influencing factors including age, gender, BMI, poor nutrition, insufficient physical activity, and polypharmacy. The lack of uniform diagnostic criteria makes a robust and comprehensive assessment difficult. Therefore, the formation of certain universal and standardized diagnostic criteria will help future research on sarcopenia.

Insights into geriatric health: primary sarcopenia and innate immunity dynamics, examining SARC-F, serum TLR 4, TLR 9, and resolvin levels

The aim of this study is to evaluate the relationship between serum TLR (Toll Like Receptor) 4, 9 and Resolvin E1 levels and primary sarcopenia in geriatric patients and to compare the diagnostic accuracy of these biomarkers with the SARC-F score. A total of 88 patients aged 65 years and older were evaluated in the study. Comorbidities and geriatric syndromes were identified and patients with secondary sarcopenia were excluded. EWGSOP2 criteria were used as diagnostic criteria for sarcopenia and SARC-F questionnaire was used to find individuals at risk for sarcopenia. Serum TLR 4, 9 and Resolvin E1 levels were analyzed by ELISA. There were no significant differences between the two groups in terms of age and gender (p = 0.654 and p = 1.000, respectively). SARC-F, serum TLR 9 and Resolvin E1 were significantly higher in the sarcopenia group compared to the non-sarcopenia group (p < 0.001, p < 0.001 and p = 0.040, respectively). Statistically significant parameters were evaluated by multiple regression analysis. TLR 9 and SARC-F score were both found to be associated with sarcopenia in multivariate logistic regression analysis [Odds ratio (OR) 3145, (95%) confidence interval (CI) 5.9-1,652,888.3, p = 0.012; OR 4.788, (95%) CI 2.148-10.672, p < 0.001, respectively]. ROC curve analysis showed that the area under the ROC curve (AUC) for TLR 9 and SARC-F was 0.896 (p < 0.001) and 0.943 (p < 0.001), respectively. Although this study supports the use of the SARC-F questionnaire in daily practice, serum TLR 9 levels may be an alternative to SARC-F in cases where SARC-F is not feasible.

Comparative evaluation of screening tools for sarcopenia in patients with axial spondyloarthritis

Sarcopenia is linked to chronic inflammation and muscle wasting. This research aims to compare the screening accuracy of tools for sarcopenia in axial spondyloarthritis (axSpA). A cross-sectional study involving 104 axSpA patients was conducted at Phramongkutklao Hospital between January 2020 and February 2021. Sarcopenia was diagnosed according to the AWGS 2019 criteria. Appendicular skeletal muscle mass was measured using DXA. SARC-F, SARC-CalF, and SARC-F+EBM, muscle strength, and physical performance were assessed. The screening tests were evaluated using ROC curves. The optimal cutoffs were identified with the Youden index. Most patients were male (74%), with a mean (SD) age and disease duration of 42.6 (12.22) and 8.3 (8.5), respectively. The prevalence of sarcopenia was 22.1%. The AUCs (95% CI) for calf circumference, SARC-F, SARC-CalF, SARC-F+EBM, handgrip strength, chair stand time, gait speed, and time and go test were 0.830 (0.734, 0.925), 0.509 (0.373-0.645), 0.782 (0.670-0.894), 0.856 (0.758-0.954), 0.710 (0.594-0.825), 0.640 (0.508-0.772), 0.689 (0.539-0.839), and 0.711 (0.576-0.846), respectively. The optimal cutoffs for SARC-F, SARC-CalF, and SARC-F+EBM were 1, 10, and 10, with sensitivity/specificity of 81.0%/29.7%, 90.5%/68.9%, and 77.3%/87.2%, respectively. Calf circumference, SARC-CalF, and SARC-F+EBM had the best performance to screen for sarcopenia in axSpA patients. Lowering the thresholds would potentially enhance the performances of SARC-CalF and SARC-F+EBM.

Effect of sarcopenia on short-term outcomes of gastric endoscopic submucosal dissection

BACKGROUND

Sarcopenia has been reported to be associated with short-term outcomes after gastric endoscopic submucosal dissection (ESD). The "strength, assistance with walking, rising from a chair, climbing stairs, and falls" (SARC-F) questionnaire has been widely used as a screening tool for sarcopenia; however, SARC-F combined with body mass index and age (SARC-F+EBM) has recently been reported to be more useful than SARC-F alone. This study aimed to investigate the association between sarcopenia, measured using SARC-F+EBM, and short-term outcomes after gastric ESD.

METHODS

Patients who underwent gastric ESD at our institution between May 2020 and June 2023 were included, and their medical records were reviewed retrospectively. A SARC-F+EBM score ≥ 12 indicated sarcopenia. We evaluated the incidence of adverse events and the length of hospital stay in the sarcopenia and non-sarcopenia groups.

RESULTS

Overall, 263 patients (64 and 199 in the sarcopenia and non-sarcopenia groups, respectively) were investigated. The incidence of adverse events with a Common Terminology Criteria for Adverse Events grade ≥ 3 was not significantly different between the sarcopenia and non-sarcopenia groups (6.2% vs. 8.5%, p = 0.791). The proportion of patients with an extended hospital stay (≥ 10 days) was significantly higher in the sarcopenia group than that in the non-sarcopenia group (12.5% [8/64] vs. 3.5% [7/199], p = 0.012). Multivariate analysis showed that sarcopenia and lesions that present technical difficulty in ESD were independent risk factors for extended hospital stays (≥ 10 days). Of the eight cases having extended hospital stays in the sarcopenia group, four were due to the management after gastric ESD, three were due to family circumstances, and one was due to decreased activities of daily living.

CONCLUSIONS

Sarcopenia is not a predictor of adverse events associated with gastric ESD. However, patients with sarcopenia may be hospitalized for longer owing to non-ESD-related factors.

Comparison of six screening methods for sarcopenia among rural community-dwelling older adults: a diagnostic accuracy study

OBJECTIVE

The objective of this analysis was to determine the diagnostic efficacy of the Ishii test, SarSA-Mod, SARC-F, SARC-Calf, SARC-F+AC, and SARC-Calf+AC for screening for sarcopenia among rural community-dwelling older adults.

METHODS

The AWGS 2019 diagnostic criteria was a diagnostic reference for sarcopenia. There were six screening tools whose accuracy was determined through the use of metrics, including specificity, sensitivity, negative and positive predictive values, and the receiver operating characteristic (ROC) curve.

RESULTS

The study included 551 participants (304 women, age 70.9 ± 4.9 years). The prevalence of sarcopenia was 44.5% in men and 39.1% in women. In males, the sensitivity/specificity of the Ishii test, SarSA-Mod, SARC-F, SARC-Calf, SARC-F+AC, and SARC-Calf+AC screening sarcopenia were 87.3%/65.7%, 98.2%/21.9%, 6.4%/98.5%, 28.2%/91.2%, 33.6%/83.9%, and 84.6%/43.8%, and in females, they were 68.1%/82.2, 100%/23.2%, 16.0%/90.3%, 35.3%/84.3%, 58.8%/61.1%, and 89.9%/42.2%, respectively. In males, the area under the curves of the Ishii test, SarSA-Mod, SARC-F, SARC-Calf, SARC-F+AC, and SARC-Calf+AC were 0.846 (95% CI 0.795-0.889), 0.800 (95% CI 0.745-0.848), 0.581 (95% CI 0.516-0.643), 0.706 (95% CI 0.645-0.762), 0.612 (95% CI 0.548-0.673), and 0.707 (95% CI 0.646-0.763), respectively, and in females, they were 0.824 (95% CI 0.776-0.865), 0.845 (95% CI 0.799-0.883), 0.581 (95% CI 0.524-0.637), 0.720 (95% CI 0.666-0.770), 0.632 (95% CI 0.575-0.686), and 0.715 (95% CI 0.661-0.765), respectively.

CONCLUSION

Our findings demonstrate that the overall accuracy of the Ishii test was best among the six screening tools for sarcopenia screening in rural community-dwelling older adults.

Correlation between low skeletal muscle index and 3D anthropometric data measured by 3D body scanner: screening sarcopenia

Background

The screening tools for sarcopenia are measuring calf circumference, SARC-F or SPPB. However, not all of these tools have high sensitivity, specificity, and low margins of error. This research investigates potential of 3D anthropometry of the lower extremities on screening of sarcopenia.

Methods

From October 2022 to February 2023, we retrospectively analyzed results of 3D body scanner and bio-impedance analysis for patients aged 45 to 85 at risk of sarcopenia. The 3D scanner measured the surface and volume values of both thighs and calves. When skeletal muscle index (SMI) is less than 5.7, patients were classified to Low SMI group, indicative of sarcopenia.

Results

A total six out of 62 patients were classified to Low SMI group, showing significantly lower values of right, left, mean calf volumes and mean calf surface than the other patients (right calf volume 2.62 L vs. 3.34 L, p = 0.033; left calf volume 2.62 L vs. 3.25 L, p = 0.044; mean calf volume 2.62 L vs. 3.29 L, p = 0.029; mean calf surface 0.12 m2 vs. 0.13 m2, p = 0.049). There was no statistical difference in thigh volume and surface. Through AUC-ROC analysis, mean calf volume was the most significant cut-off value (right calf volume 2.80 L, AUC = 0.768; left calf volume 2.75 L, AUC = 0.753; mean calf volume 3.06 L, AUC = 0.774; mean calf surface 0.12 m2, AUC = 0.747).

Conclusion

The calf volume and surface values have significant relationship with low SMI, and the mean calf volume was the most significant cut-off screening value for Low SMI. The 3D scanner demonstrated its value as a new means for screening sarcopenia.

The accuracy of screening tools for sarcopenia in older Chinese adults: a systematic review and meta-analysis

Objective

This review aimed to analyze and compare the accuracy of eight screening tools for sarcopenia in older Chinese adults according to different diagnostic criteria.

Methods

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), and Wanfang databases were searched between the publication of the first expert consensus on sarcopenia in 2010 and April 2023 using relevant MeSH terms. We evaluated the risk bias of the included studies using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. The pooled result of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and plot the summary receiver operating characteristic curve (SROC) were calculated by using a bivariate random-effects model. The accuracies of sensitivity and specificity of the screening tools were compared using the Z-test.

Results

A total of 30 studies (23,193 participants) were included, except for calf circumference (CC), Ishii, and Finger-ring Test; Screening tools for sarcopenia in older Chinese adults have consistently shown low to moderate sensitivity and moderate to high specificity. Regional and sex differences affect the accuracy of the screening tools. In terms of sensitivity and specificity, the CC, Ishii, and Finger-ring Test were superior to the other screening tools.

Conclusion

The Asian Working Group on Sarcopenia (AWGS) 2019 criteria are more appropriate for the diagnosis of sarcopenia in older Chinese adults. According to the AWGS 2019, CC and Ishii are recommended for sarcopenia screening in older Chinese adults.

Body Composition in Chronic Liver Disease

Body composition has recently been attracting people's attention, not only from a cosmetic standpoint but also from the perspective of health and longevity. The body is classified into three components: fat, bone, and lean soft tissue, and it is common to see an increase in body fat and a decrease in total body muscle mass with aging. Aging-related loss of muscle mass and muscle function is referred to as primary sarcopenia, while sarcopenia caused by disease-specific conditions is referred to as secondary sarcopenia. On the other hand, the liver-muscle axis has been attracting attention in recent years, and it has become clear that the liver and the skeletal muscles interact with each other. In particular, patients with cirrhosis are prone to secondary sarcopenia due to protein-energy malnutrition, which is a characteristic pathophysiology of the disease, suggesting the importance of the organ-organ network. In this review, we would like to outline the latest findings in this field, with a focus on body composition in liver diseases such as liver cirrhosis, fatty liver disease, alcoholic liver disease, and hepatocellular carcinoma.

Factors associated with sarcopenia in Japanese patients with rheumatoid arthritis: results from the IORRA cohort study

To investigate the prevalence of and factors associated with sarcopenia in Japanese patients with rheumatoid arthritis (RA). We analyzed a cross-section of patients with RA participating in the Institute of Rheumatology Rheumatoid Arthritis cohort survey in 2021. Participants completed self-administered questionnaires, including a 5-item sarcopenia screening index (SARC-F). Patients with a SARC-F score of 4 or higher were categorized as having sarcopenia. Among 2416 Japanese patients with RA (2113 women and 303 men; mean age 63.9 years), 341 (14.1%) patients were categorized as having sarcopenia. In a multivariable analysis of patients of all ages, age, body mass index (BMI), disease duration, history of fracture, patient pain on a visual analog scale (VAS), patient or physician global assessments based on VAS, and use of nonsteroidal anti-inflammatory drugs (NSAIDs), biologic disease-modifying antirheumatic drugs (bDMARDs), and corticosteroids were significantly (P < 0.05) associated with sarcopenia. Disease duration, patient global assessments based on VAS, and use of NSAIDs and bDMARDs were significantly associated with sarcopenia among the patients aged < 65 years, whereas age, female sex, BMI, disease duration, history of fracture, patient pain VAS and global assessments based on VAS, and use of bDMARDs and corticosteroids were significantly associated with sarcopenia in patients aged ≥ 65 years. In Japanese patients with RA, age, BMI, disease duration, history of fracture, patient pain VAS and global assessments based on VAS, and use of NSAIDs, bDMARDs, and corticosteroids were associated with sarcopenia. Among older patients with RA, female sex was additionally associated with sarcopenia. Key Points • To our knowledge, this is the first report showing factors associated with sarcopenia in Japanese patients with rheumatoid arthritis using a large cohort database. • Age, BMI, disease duration, history of fracture, patient pain on a visual analog scale, and use of nonsteroidal anti-inflammatory drugs, biologic disease-modifying antirheumatic drugs, and corticosteroids were associated with sarcopenia in Japanese patients with rheumatoid arthritis. Limited to elderly patients, female sex was also associated with sarcopenia.

The Impact of Sarcopenia Risk on Postoperative Walking Independence in Older Adults Undergoing Total Joint Arthroplasty

BACKGROUND AND PURPOSE

Sarcopenia is known to be associated with poor outcomes after arthroplasty; however, no study has reported the relationship between sarcopenia and postoperative walking independence. This study aimed to determine the impact of sarcopenia risk screening using the SARC-CalF questionnaire and calf circumference on the time to walk independently after total hip or knee arthroplasty in older patients.

METHODS

We included 599 nonobese patients aged 65 years and older who underwent unilateral and primary total hip or knee arthroplasty. Preoperative sarcopenia risk was assessed using the SARC-CalF or calf circumference. The outcome of this study was the time to independent walking after surgery; it was calculated as the number of days from the date of surgery to the date when the patient was able to walk independently. The association between preoperative sarcopenia risk and time to independent walking after surgery was analyzed using Kaplan-Meier curves and Cox proportional hazards models.

RESULTS

Among the 599 patients undergoing total joint arthroplasty, 175 (29.2%) were determined to be at risk of sarcopenia using SARC-CalF and 193 (32.2%) using calf circumference. The Kaplan-Meier curve showed that sarcopenia risk assessed by SARC-CalF or calf circumference was associated with a prolonged time to independent walking in patients undergoing hip arthroplasty (log-rank test, P < .001 and P < .001, respectively). In patients undergoing hip arthroplasty, the Cox proportional hazards model showed that SARC-CalF score of 11 points and greater or a calf circumference less than the cutoff was a risk factor for delayed time to independent walking (hazard ratios: 0.55 and 0.57, P < .001 and P = .001, respectively). There was no association between preoperative sarcopenia risk and postoperative time to independent walking in patients who underwent knee arthroplasty.

CONCLUSIONS

Sarcopenia screening tools, such as SARC-CalF or calf circumference, should be useful for planning postoperative rehabilitation in older adults scheduled for hip arthroplasty. However, the accuracy of SARC-CalF or calf circumference measurement in patients scheduled for knee arthroplasty may be low.

Higher systemic immune-inflammation index is associated with sarcopenia in individuals aged 18-59 years: a population-based study

The association between the systemic immune-inflammation index (SII) and the risk of sarcopenia has not yet been revealed. The purpose of this study was to investigate the relationship between the SII and sarcopenia in individuals aged 18-59 years. All data for this study are from the National Health and Nutrition Examination Survey (NHANES) database, including 7258 participants (age range: 18-59 years). We divided SII values by quartiles (quartiles 1-4: 0.3-3.1, 3.2-4.4, 4.4-6.2, and 6.2-58.5). We constructed a multivariate logistic regression model to assess the association between the SII and the risk of sarcopenia, and an interaction test was run to test the stability of the model and identify high-risk individuals with sarcopenia. Compared to nonsarcopenia participants, sarcopenia patients had a significantly higher SII value (weighted average: 6.65 vs. 5.16) (P = 0.002). Multivariate logistic regression results showed a positive linear relationship between the SII and sarcopenia (OR [odds ratio] = 1.12, 95% CI [confidence interval] 1.03-1.21). Compared to the quartile 1 group, the quartile 4 group was associated with a higher risk of sarcopenia (OR = 3.94, 95% CI 1.42-10.94). Compared with the quartile 1 group, the OR value of the quartile 2 to quartile 4 groups showed an upwards trend (Ptrend < 0.001) as the level of SII increased. Subgroup analysis also indicate that the correlation between higher SII values and the risk of sarcopenia was stable. There was a significant positive linear relationship between SII and sarcopenia, indicating that higher SII values can increase the risk of sarcopenia in individuals aged 18-59 in the United States. The findings of this study will be beneficial in promoting the use of SII alone or in combination with other tools for the risk screening of sarcopenia in communities or large populations.

Development and validation of a rapid sarcopenia screening questionnaire: The Otassha study

AIM

To develop a rapid and easy screening tool to detect sarcopenia.

METHODS

In total, 683 community-dwelling older adults who participated in our cohort study, the "Otassha Study," in 2019, completely responded to a questionnaire, and were diagnosed with sarcopenia were included. Participants responded to a nine-item questionnaire, including candidate items for a new sarcopenia screening tool named rapid sarcopenia screening, based on items of the Strength, Assistance with walking, Rising from a chair, Climbing stairs, and Falls (SARC-F) questionnaire. To select appropriate items for the new screeening tool, multiple logistic regression analyses were performed, with sarcopenia as the dependent variable and questionnaire responses as independent variables. The area under the curve using 10 000 bootstraps was used to assess the rapid sarcopenia screening diagnostic ability for detecting sarcopenia.

RESULTS

Responses to question nos 2 (how much can you squeeze a wet towel?), 5 (how much muscle strength do you think you have compared with that of people of your age and sex?), 7 (how fast do you usually walk?), and 9 (age-related item) were related to sarcopenia in multiple logistic regression analysis. The area under the curve of the total score of rapid sarcopenia screening was 0.82, 0.80, and 0.81 for men, women, and overall, respectively. At a cut-off value of 14/15, the sensitivity and specificity for sarcopenia detection were 0.73 and 0.73, respectively.

CONCLUSIONS

The newly developed sarcopenia screening tool has a better diagnostic ability for sarcopenia than the SARC-F. Rapid sarcopenia screening does not require physical function measurements, making it a useful and accessible tool among older adults to detect sarcopenia. Geriatr Gerontol Int 2023; 23: 945-950.

Validated Tools for Screening Sarcopenia: A Scoping Review

OBJECTIVE

Choosing the optimal sarcopenia screening tool for a specific clinical scenario is challenging. We aimed to summarize all validated sarcopenia screening tools with diagnostic accuracy tested in one or more study populations.

DESIGN

Scoping review.

SETTING AND PARTICIPANTS

Hospitals, nursing homes, communities, or health checkups.

METHODS

We systematically searched 3 databases in April 2022: MEDLINE, EMBASE, and CENTRAL. Two review authors independently performed the study selection and data extraction. The included tools' contents, characteristics, and number of citations were summarized and visualized.

RESULTS

We summarized 102 diagnostic accuracy studies involving 53 screening tools, classified into 7 groups: questionnaires (n = 13); serum biomarkers (n = 10); formulas, algorithms, and models (n = 9); physical ability tests (n = 9); integration tools (n = 7); anthropometric indices (n = 3); and ultrasound or bioimpedance analysis (n = 2). The most commonly used questionnaire was SARC-F (770 citations), followed by SARC-CalF (254 citations) and MSRA-7 (61 citations). Handgrip strength and Ishii score were the most widely used physical performance tests (331 citations) and formulas (294 citations), respectively. Sarcopenia index (based on serum cystatin C and creatinine) and calf circumference were the most commonly used serum biomarkers (123 citations) and anthropometric indexes (127 citations), respectively. Ultrasound was the most commonly used imaging tool for screening sarcopenia (57 citations). The included tools varied significantly in content. Various tools assessed some or all components of sarcopenia with different methods, and others assessed different domains, such as age, body mass index, falls, diet, and even mental health. We also summarized the screening tools that were validated in different clinical settings (hospitals, communities, nursing homes, and health checkups).

CONCLUSIONS AND IMPLICATIONS

More than 50 validated tools are currently available for screening sarcopenia in different clinical settings. The results of this review may help clinicians and researchers in selecting optimal tools for sarcopenia in different clinical scenarios and in developing future tools.

Statistical model of trajectories of reduced mobility in older people with locomotive disorders: a prospective cohort study with group-based trajectory model

BACKGROUND

Today we experience "Super-aged society", and a drastic increase in the number of older people needing assistance is an urgent matter for everyone from medical and socio-economical standpoints. Locomotive organ dysfunction due to musculoskeletal disorders is one of the main problems in these patients. Although the concepts of frailty and sarcopenia have been proposed for functional decline, pain remains the main and non-negligible complaint in these of such disorders. This prospective cohort study aimed to observe the changes of reduced mobility in patients with locomotive disorders and to determine the risk factors for functional deterioration of those patients using statistical modeling.

METHODS

A cohort of older adults with locomotive disorders who were followed up every 6 months for up to 18 months was organized. Pain, physical findings related to the lower extremities, locomotive function in performing daily tasks, and Geriatric Locomotive Function Scale-25 (GLFS-25) score were collected to predict the progress of deterioration. Group-based trajectory analysis was used to identify subgroups of changes of GLFS-25 scores, and multinomial logistic regression analysis was performed to investigate potential predictors of the GLFS-25 trajectories.

RESULTS

Overall, 314 participants aged between 65 and 93 years were included. The participants were treated with various combinations of orthopedic conservative treatments on an outpatient basis. The in-group trajectory model analysis revealed a clear differentiation between the four groups. The mild and severe groups generally maintained their GLFD-25 scores, while the moderate group included a fluctuating group and a no change group.　This study showed that comorbidity of osteoporosis was related to GLFS-25 score over 18 months. Age was a weak factor to be moderate or severe group, but gender was not. In addition, the number of pain locations, number of weak muscles, one-leg standing time, grip strength and BMI significantly contributed to the change in GLFS-25 score.

CONCLUSIONS

This study proposes an effective statistical model to monitor locomotive functions and related findings. Pain and comorbid osteoporosis are significant factors that related to functional deterioration of activities. In addition, the study shows a patient group recovers from the progression and their possible contributing factors.

The accuracy of screening instruments for sarcopenia: a diagnostic systematic review and meta-analysis

OBJECTIVE

This review aimed to summarise the diagnostic accuracy of screening tools for sarcopenia.

METHODS

We conducted a systematic review along with a critical appraisal of published studies on screening tools for sarcopenia. We assessed the measurement properties of screening instruments using the consensus-based standards for selecting health measurement instruments (COSMIN) checklist. We evaluated the risk bias of the included studies using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. The diagnostic test accuracy of instruments for sarcopenia was reported using sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR).

RESULTS

We screened 7,120 titles and abstracts; 42 studies including five screening tools for sarcopenia were included. The overall study quality assessed by the QUADAS-2 tool was moderate to good. Of the five screening tools, three instruments had specificities ≥85%: 92% [95% confidence interval (CI): 63-99%] for the SARC-F modified version, 87% (95% CI: 82-90%) for the SARC-F and 85% (95% CI: 77-90%) for the Ishii score. Three tools had sensitivity ≥75%, namely, MSRA 82% (95% CI: 69-90%), Ishii score 79% (95% CI: 62-89%) and U-TEST 76%. PLR higher than 5.0 were present for the Ishii score and SARC-F modified versions; the Ishii score also had the best NLR of 0.25 of all scales.

CONCLUSION

The MSRA and Ishii score had excellent sensitivity for sarcopenia screening at an early stage; SARC-F modified versions and Ishii score had superior specificity for sarcopenia diagnosis.

Accurate SARC-F Score in Patients with Liver Disease

SARC-F is a well-accepted screening tool for sarcopenia. A SARC-F value of 1 point is reported to be more discriminating in identifying sarcopenia than 4 points (recommended cutoff point). The prognostic impact of the SARC-F score was investigated in patients with liver disease (LD, n = 269, median age = 71 years, 96 hepatocellular carcinoma (HCC) cases). Factors associated with SARC-F ≥ 4 points and SARC-F ≥ 1 point were also examined. In the multivariate analysis, age (p = 0.048), and Geriatric Nutritional Risk Index (GNRI) score (p = 0.0365) were significant factors linked to SARC-F ≥ 1 point. In our patients with LD, the SARC-F score is well correlated with the GNRI score. The 1-year cumulative overall survival ratio in patients with SARC-F ≥ 1 (n = 159) and SARC-F 0 (n = 110) was 78.3% and 90.1% (p = 0.0181). After excluding 96 HCC cases, similar tendencies were found (p = 0.0289). In the receiver operating curve (ROC) analysis based on the prognosis for the SARC-F score, the area under the ROC was 0.60. The sensitivity was 0.57, the specificity was 0.62, and the optimal cutoff point of the SARC-F score was 1. In conclusion, sarcopenia in LDs can be affected by nutritional conditions. A SARC-F score of ≥1 is more useful than a score of 4 in predicting the prognosis of patients with LD.

Comparison of Diagnostic Value of the SARC-F and Its Four Modified Versions in Polish Community-Dwelling Older Adults

Purpose

Sarcopenia is associated with adverse outcomes in elderly persons, including functional disability, falls, and even death. Therefore, older adults should be routinely screened for sarcopenia. Due to the unsatisfactory sensitivity of the SARC-F questionnaire, four modified versions have been elaborated: SARC-CalF, SARC-F+EBM, SARC-F+AC, and SARC-CalF+AC. The diagnostic performance of the four modifications of SARC-F has yet to be compared.

Materials and Methods

We performed the sensitivity/specificity analysis and compared the overall diagnostic accuracy of the five questionnaires in 260 community-dwelling volunteers aged ≥ 60 yrs from Poland. The study was performed against three reference standards: the European Working Group on Sarcopenia in Older People (EWGSOP1), EWGSOP2, and modified EWGSOP2 criteria.

Results

The prevalence of sarcopenia based on these criteria was 20.8%, 11.2%, and 17.3%, respectively. Concerning the three reference standards, the sensitivity of SARC-F, SARC-CalF, SARC-F+EBM, SARC-F+AC, and SARC-CalF+AC ranged from 31.5-44.8%, 57.4-65.5%, 48.1-62.1%, 71.4-79.2% and 71.4-79.2%, respectively. The specificity ranged from 86.6-87.4%, 86.1-90.3%, 82.3-84.0%, 69.4-78.2%, and 72.1-79.7%, respectively. The AUCs of SARC-F, SARC-CalF, SARC-F+EBM, SARC-F+AC, and SARC-CalF+AC ranged from 0.643-0.700, 0.757-0.792, 0.740-0.775, 0.767-0.812 and 0.771-0.852, respectively.

Conclusion

The SARC-F questionnaire has low diagnostic accuracy, which limits its usefulness as a sarcopenia screening tool. Incorporating two simple anthropometric measurements, ie, arm and calf circumference, notably improves the diagnostic performance of SARC-F. Based on our results, SARC-CalF+AC seems to be the best screening tool for sarcopenia screening in community-dwelling older adults.

Portable Digital Monitoring System for Sarcopenia Screening and Diagnosis

Sarcopenia is a well-known highly prevalent muscle disease that severely impairs overall physical performance in elders, inducing a massive health-related economic burden. The widespread screening, diagnosis and treatment of sarcopenia are pivotal to restrain the disease progression and constrain its societal impact. Simple-to-use, portable, and reliable methods to evaluate sarcopenia are scarce, and sarcopenia-related assessments are typically done in several time-consuming stages. This study presents a portable digital system that enables a simple and intuitive method to evaluate sarcopenia-based on the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) algorithm-including the four Find-Assess-Confirm-Severity (FACS) steps. The system comprises a mobile application (app); two wireless devices: a dynamometer (Gripwise) and a skinfold caliper (Lipowise); and a back-end website. To find cases, the SARC-F questionnaire is applied. To assess sarcopenia, the handgrip strength and the sit-to-stand tests are performed with the Gripwise and an application-embedded stopwatch, respectively. To confirm cases, anthropometric measures are performed, and muscle quantity is estimated with Lipowise. Finally, to assess severity, the app stopwatch grants the gait speed test application, evaluating physical performance. This step-by-step sarcopenia assessment results in a final grading according to the cut-off points of the EWGSOP2 criteria. All data is automatically encrypted and exported into a GDPR-compliant cloud platform, in which healthcare professionals can access and monitor their patients through the internet.

Utility of SARC-F in daycare facilities for older people

AIM

SARC-F, a sarcopenia screening tool, has limited use but may be beneficial for detecting sarcopenia in frail older people. This study aimed to clarify the validity of the SARC-F questionnaire in older people.

METHODS

In this validation study, 74 (36 men; age, 81.9 ± 6.7 years, 38 women; age, 83 ± 6.2 years) community-dwelling older people who attended a daycare facility participated in our study. Participants completed the SARC-F and SARC-calf circumference (SARC-CalF) questionnaires, and their body composition, walk speed and grip strength were measured. Sarcopenia was determined using the Asian Working Group for Sarcopenia criteria, and the participants were divided into non-sarcopenia and sarcopenia groups. SARC-F and SARC-CalF scores were evaluated using receiver operating characteristic curve analysis for sarcopenia considering the area under the curve. Internal consistency was evaluated using Cronbach's alpha.

RESULTS

The prevalence of sarcopenia, defined by physical characteristics, was 60.0% in men and 48.1% in women. The area under the curve of the SARC-F for sarcopenia was 0.703 (95% confidence interval [CI]: 0.585-0.821, P = 0.001). Cronbach's alpha was 0.81, and the internal consistency was high. SARC-F had lower sensitivity (0.47; 95% CI: 0.31-0.64) but higher specificity (0.78; 95% CI: 0.60-0.89) than the sensitivity and specificity of SARC-CalF, respectively, and the sensitivity of SARC-F was higher than that reported in previous studies.

CONCLUSION

The SARC-F questionnaire is more sensitive in assessing sarcopenia in low-functioning populations and can be used as a screening tool for sarcopenia in long-term daycare facilities for older people rather than in community-based healthcare activities. Geriatr Gerontol Int 2022; ••: ••-••.

SARC-F Is a Predictor of Longer LOS and Hospital Readmission in Hospitalized Patients after a Cardiovascular Event

It is already established that sarcopenia is associated with adverse outcomes; however, few studies have focused on patients who have suffered an acute cardiovascular event. The use of SARC-F, a 5-item sarcopenia screening questionnaire, in these patients remains to be investigated. We aimed to investigate whether SARC-F can predict adverse outcomes in patients admitted to a hospital with a suspected infarction. This is a 1-year prospective cohort study. During hospitalization, patients completed the SARC-F questionnaire (scores ≥ 4 considered positive for the risk of sarcopenia). Length of hospital stay (LOS), new hospital admission, myocardial infarction, and cardiovascular mortality were collected via medical records and phone interviews. In total, 180 patients were evaluated. The median age was 60.6 years; 72.3% of the participants were men, and half of the sample had comorbidities. The median SARC-F score was 1.0 (interquartile range, 0–3.0), and 21.1% of the participants screened positive. Risk of sarcopenia was independently associated with longer LOS (odds ratio, 2.34; 95% CI, 1.09–5.04; p = 0.030) and hospital readmission (odds ratio, 3.73; 95% CI, 1.60–8.69; p = 0.002). One-fifth of post-acute cardiovascular event patients in this cohort screened positive for sarcopenia using the SARC-F screening questionnaire. Positive scores were associated with a longer LOS and hospital readmission.

Grip Strength in Patients with Gastrointestinal Diseases

We sought to elucidate factors contributing to the grip strength (GS) decline in patients with gastrointestinal diseases (Ga-Ds, n = 602, 379 males, median age = 72 years). The GS decline in males and females was defined as <28 kg and <18 kg, respectively, following the current Asian guidelines. The median GS (male) was 28.8 kg, and GS decline (male) was found in 169 patients (44.6%). The median GS (female) was 17.5 kg, and GS decline (female) was found in 122 patients (54.7%). Advanced cancer was identified in 145 patients (24.1%). In terms of the univariate analysis of parameters of the GS decline, age (p < 0.0001), gender (p = 0.0181), body mass index (BMI, p = 0.0002), ECOG-PS (p < 0.0001), SARC-F score (p < 0.0001), hemoglobin value (p < 0.0001), total lymphocyte count (p < 0.0001), serum albumin value (p < 0.0001), C reactive protein (CRP) value (p < 0.0001), and estimated glomerular filtration rate were statistically significant. In terms of the multivariate analysis, age (p < 0.0001), BMI (p = 0.0223), hemoglobin value (p = 0.0186), serum albumin value (p = 0.0284), the SARC-F score (p = 0.0003), and CRP value (p < 0.0001) were independent parameters. In conclusion, the GS decline in patients with Ga-Ds is closely associated with not only the primary factor (i.e., aging) but also secondary factors such as inflammatory factors and nutritional factors.

Comparing SARC-CalF With SARC-F for Screening Sarcopenia in Adults With Type 2 Diabetes Mellitus

Background

The prevalence of sarcopenia is high in older people with type 2 diabetes mellitus (T2DM) and is now considered a critical problem in the healthcare sector. However, the preferred screening tool for identifying sarcopenia remains unknown. Thus, the aim of this study was to ensure that the diagnostic values of the SARC-F (strength, assisting with walking, rising from a chair, climbing stairs, and falling) and SARC-CalF (SARC and calf circumference) scales were compared with five reference diagnostic criteria for sarcopenia.

Methods

This was a cross-sectional study. Patients diagnosed with diabetes were treated at the First Affiliated Hospital of Wenzhou Medical University. Appendicular skeletal muscle mass, muscle strength, and physical performance were assessed using dual-energy X-ray absorptiometry, handgrip strength, and gait speed assessment. Five diagnostic criteria for sarcopenia (Asian Working Group for Sarcopenia, International Working Group on Sarcopenia, Foundation for the National Institutes of Health, Sarcopenia Project, Society on Sarcopenia Cachexia and Wasting Disorders, and European Working Group on Sarcopenia in Older People criteria) were utilized. Sensitivity and specificity analyses were performed on the SARC-CalF and SARC-F scales. The diagnostic precision of both instruments was determined using the receiver-operating characteristic (ROC) curves and area under the ROC curves (AUC).

Results

This study included 689 subjects (459 men and 230 women) with a mean age of 58.1 ± 13.2 years. In accordance with the five reference diagnostic parameters, the prevalence of sarcopenia was between 4.5 and 19.2%. In addition, the range of sensitivity of SARC-F and SARC-CalF ranged from 61.4 to 67.4 and 82.6 to 91.8%, respectively. Concurrently, the specificity ranged from 63.1 to 67.3 and 51.5 to 61.2%, respectively. Overall, AUC values for SARC-CalF were higher than those for SARC-F, regardless of the diagnostic standard, sex, or age.

Conclusion

The results of this study suggest that SARC-CalF significantly enhances the sensitivity and overall diagnosis of SARC-F. SARC-CalF appears to be an optimal screening tool for sarcopenia in adults with T2DM.

The Relationship between the SARC-F Score and the Controlling Nutritional Status Score in Gastrointestinal Diseases

We sought to examine the relationship between the SARC-F score and the Controlling Nutritional Status (CONUT) score in patients with gastrointestinal diseases (GDs, n = 735, median age = 71 years, and 188 advanced cancer cases). The SARC-F score ≥ 4 (highly suspicious of sarcopenia) was found in 93 cases (12.7%). Mild malnutritional condition was seen in 310 cases (42.2%), moderate in 127 (17.3%) and severe in 27 (3.7%). The median SARC-F scores in categories of normal, mild, moderate and severe malnutritional condition were 0, 0, 1 and 1 (overall p < 0.0001). The percentage of SARC-F score ≥ 4 in categories of normal, mild, moderate and severe malnutritional condition were 4.4%, 12.9%, 26.8% and 25.9% (overall p < 0.0001). The SARC-F score was an independent factor for both the CONUT score ≥ 2 (mild, moderate or severe malnutrition) and ≥5 (moderate or severe malnutrition). In the receiver operating characteristic (ROC) curve analysis for the CONUT score ≥ 2, C reactive protein (CRP) had the highest area under the ROC (AUC = 0.70), followed by the SARC-F score (AUC = 0.60). In the ROC analysis for the CONUT score ≥ 5, CRP had the highest AUC (AUC = 0.79), followed by the SARC-F score (AUC = 0.63). In conclusion, the SARC-F score in patients with GDs can reflect malnutritional status.

Comparison of the Diagnostic Value of SARC-F and Its Three Modified Versions for Screening Sarcopenia in Chinese Community-Dwelling Older Adults

OBJECTIVES

Sarcopenia refers to age-related loss of skeletal muscle mass. SARC-F is a screening tool for sarcopenia with high specificity and relatively good overall diagnostic accuracy but with low sensitivity. This study evaluated the diagnostic utility of SARC-F and its three modified versions (SARC-CalF, SARC-F+AC, and SARC-CalF+AC) for screening sarcopenia in community-dwelling older adults.

DESIGN

Diagnostic accuracy study.

SETTINGS AND PARTICIPANTS

We screened sarcopenia of older adults (age ≥ 60 years) in three communities in 2020. The participants' information and anthropometric measurements were collected, respectively.

METHODS

The updated consensuses of AWGS2019 and the EWGSOP2 were applied as the reference standards. we performed sensitivity/specificity analyses and estimated the areas under the receiver operating characteristic curves (AUCs) of the four scales.

RESULTS

The prevalence of sarcopenia was 26.4% and 12.5% based on the AWGS2019 and EWGSOP2 criteria, respectively. The sensitivities/specificities of SARC-F, SARC-CalF, SARC-F+AC, and SARC-CalF+AC were 12.26%/95.59%, 47.17%/91.53%, 82.08%/68.47%, and 75.47%/83.73%, respectively, using the AWGS2019 criteria. Further, the corresponding AUCs of SARC-F, SARC-CalF, SARC-F+AC, and SARC-CalF+AC were 0.650 (95% confidence interval [CI]: 0.601-0.697), 0.811 (95% CI: 0.769-0.848), 0.801 (95% CI: 0.759-0.839), and 0.848 (95% CI: 0.809-0.881), respectively. Using the EWGSOP2 criteria, the sensitivities/specificities of SARC-F, SARC-CalF, SARC-F+AC, and SARC-CalF+AC were 20.00%/95.44%, 56.00%/86.61%, 70.00%/81.20%, and 80.00%/74.93%, respectively. The AUCs of SARC-F, SARC-CalF, SARC-F+AC, and SARC-CalF+AC were 0.706 (95% CI: 0.659-0.750), 0.799 (95% CI: 0.756-0.837), 0.815 (95% CI: 0.774-0.852), and 0.834 (95% CI: 0.794-0.869), respectively.

CONCLUSIONS

The modified versions of SARC-F+AC and SARC-CalF+AC, which have superior sensitivity, can be used to screen sarcopenia in community-dwelling older adults. SARC-CalF+AC had the highest overall diagnostic accuracy for screening sarcopenia among community-dwelling older adults.

Evaluation of the Accuracy of Six Simple Screening Tools for Sarcopenia in Schizophrenic Patients

OBJECTIVES

Our objective was to evaluate if SARC-F, SARC-CalF, SARC-F-EBM, calf circumference (CC), mid-upper-arm circumference (MUAC) and Ishii test can be used to accurately screen for sarcopenia in schizophrenic patients.

METHOD

We enrolled schizophrenic patients aged 50 or older, who were regularly taking antipsychotic medications, at two mental health centres. Bioimpedance-based muscle-mass was analysed with an InBody 770 instrument, while muscle strength was measured with a digital grip-strength dynamometer. The physical performance of the patients was gauged from their gait speed over 6 m. Standard AWGS2019 diagnostic criteria were used, and the accuracies of the six screening methods were indicated by the sensitivity, negative predictive value (NPV), and area under receiver operating characteristic curve (AUC).

RESULTS

A total of 339 stable schizophrenic patients were enrolled. The overall prevalence of sarcopenia was 53.1%, and the prevalence was 55.6% and 47.66%, respectively, for males and females. The prevalence of sarcopenia obesity in the total population was 16.22%, and that of males and females was 18.97% and 10.28%, respectively. The SARC-F, SARC-CalF, SARC-F-EBM, CC, MUAC and Ishii test sensitivity/NPV in screening for sarcopenia were 41.86%/0.52, 79.07%/0.7, 28.68%/0.51, 78.3%/0.71, 76.74%/0.7, 89.92%/0.84, respectively, in males and 45.1%/0.59, 94.12%/0.91, 54.9%/0.7, 92.16%/60.91, 74.51%/0.77, 96.08%/0.94, respectively, in females. In males, the AUCs of the SARC-F, SARC-CalF, SARC-F-EBM, CC, MUAC and Ishii test were 0.601 (95%CI, 0.528-0.673), 0.754 (95%CI,0.69-0.817), 0.657 (95%CI,0.588-0.727), 0.8 (95%CI, 0.744-0.856), 0.781 (95%CI, 0.721-0.84) and 0.88 (95%CI, 0.837-0.922), respectively, and in females, they were 0.587(95%CI,0.479-0.696), 0.794 (95%CI,0.709-0.878), 0.799 (95%CI,0.71-0.888), 0.893 (95%CI, 0.833-0.953), 0.843 (95%CI, 0.772-0.915) and 0.855 (95%CI, 0.784-0.926), respectively.

CONCLUSION

The prevalence of sarcopenia in schizophrenic patients is high. Clinical doctors should screen for sarcopenia in schizophrenic patients and provide timely interventions to reduce the occurrence of adverse events. The above six tools can be used as screening tools, and the Ishii test is the most suitable for screening.

Screening, Diagnosis and Management of Sarcopenia and Frailty in Hospitalized Older Adults: Recommendations from the Australian and New Zealand Society for Sarcopenia and Frailty Research (ANZSSFR) Expert Working Group

Sarcopenia and frailty are highly prevalent conditions in older hospitalized patients, which are associated with a myriad of adverse clinical outcomes. This paper, prepared by a multidisciplinary expert working group from the Australian and New Zealand Society for Sarcopenia and Frailty Research (ANZSSFR), provides an up-to-date overview of current evidence and recommendations based on a narrative review of the literature for the screening, diagnosis, and management of sarcopenia and frailty in older patients within the hospital setting. It also includes suggestions on potential pathways to implement change to encourage widespread adoption of these evidence-informed recommendations within hospital settings. The expert working group concluded there was insufficient evidence to support any specific screening tool for sarcopenia and recommends an assessment of probable sarcopenia/sarcopenia using established criteria for all older (≥65 years) hospitalized patients or in younger patients with conditions (e.g., comorbidities) that may increase their risk of sarcopenia. Diagnosis of probable sarcopenia should be based on an assessment of low muscle strength (grip strength or five times sit-to-stand) with sarcopenia diagnosis including low muscle mass quantified from dual energy X-ray absorptiometry, bioelectrical impedance analysis or in the absence of diagnostic devices, calf circumference as a proxy measure. Severe sarcopenia is represented by the addition of impaired physical performance (slow gait speed). All patients with probable sarcopenia or sarcopenia should be investigated for causes (e.g., chronic/acute disease or malnutrition), and treated accordingly. For frailty, it is recommended that all hospitalized patients aged 70 years and older be screened using a validated tool [Clinical Frailty Scale (CFS), Hospital Frailty Risk Score, the FRAIL scale or the Frailty Index]. Patients screened as positive for frailty should undergo further clinical assessment using the Frailty Phenotype, Frailty Index or information collected from a Comprehensive Geriatric Assessment (CGA). All patients identified as frail should receive follow up by a health practitioner(s) for an individualized care plan. To treat older hospitalized patients with probable sarcopenia, sarcopenia, or frailty, it is recommended that a structured and supervised multi-component exercise program incorporating elements of resistance (muscle strengthening), challenging balance, and functional mobility training be prescribed as early as possible combined with nutritional support to optimize energy and protein intake and correct any deficiencies. There is insufficient evidence to recommend pharmacological agents for the treatment of sarcopenia or frailty. Finally, to facilitate integration of these recommendations into hospital settings organization-wide approaches are needed, with the Spread and Sustain framework recommended to facilitate organizational culture change, with the help of 'champions' to drive these changes. A multidisciplinary team approach incorporating awareness and education initiatives for healthcare professionals is recommended to ensure that screening, diagnosis and management approaches for sarcopenia and frailty are embedded and sustained within hospital settings. Finally, patients and caregivers' education should be integrated into the care pathway to facilitate adherence to prescribed management approaches for sarcopenia and frailty.

SARC-F and other screening tests for sarcopenia

PURPOSE OF REVIEW

Sarcopenia screening tools can enable clinicians to select individuals for more demanding evaluations, and hence, may facilitate its timely diagnosis and management. The most common recommended screening test is SARC-F, whereas many others are proposed. We aimed to summarize the recent studies and evidence performed on SARC-F and other sarcopenia screening tools.

RECENT FINDINGS

Meta-analysis studies reported that despite having moderate-high specificity, SARC-F has low-moderate sensitivity to detect sarcopenia, which would cause a significant number of individuals having sarcopenia to be unrecognized. Several recent studies aimed to increase sensitivity and utility of SARC-F as a screening tool by i.e., application of lower cut-offs, adding extra-items, and combining with other screening tests. Some of these approaches increased its screening efficacy significantly. In line with its previous studies, SARC-F showed success to predict adverse outcomes in the latest studies as well. Recently, it has also been suggested as a reasonable screening test for frailty. In addition to the long-standing screening tests i.e., anthropometric measures, Ishii Test and Mini Sarcopenia Risk Assessment (MSRA) Questionnaire; new tests, i.e., Taiwan Risk Score for Sarcopenia, Sarcopenia Scoring Assessment Model (SarSA-Mod) and re-purposed tests, i.e., SARQoL questionnaire and fracture risk assessment tool have been investigated as potential screening tests for sarcopenia. Some of these tests performed as well as or superior to standard SARC-F.

SUMMARY

Screening of sarcopenia is critical for public health given its significant prevalence and adverse outcomes. SARC-F is the most recommended tool for screening but has low-moderate sensitivity. Studies performed recently indicate that its sensitivity can be increased by some attempts and it may be used as a reasonable test to screen frailty as well. Some other tests have also been developed/re-purposed for an efficient screening, needing to be tested for their performance and usability with future studies in different populations and settings.

Prognostic Impact of the SARC-F Score in Gastrointestinal Advanced Cancers

Simple Summary

There have been few reports with regard to the relevance between the SARC-F score and the prognosis in patients with gastrointestinal advanced cancers, and we aimed to elucidate these issues (n = 421, median age = 73 years). During the follow-up period, 145 patients (34.4%) died. The 1-year cumulative overall survival rate in patients with SARC-F ≥ 4 (recommended cutoff point, n = 103) and SARC-F < 4 (n = 318) was 33.9% and 61.6% (p < 0.0001). In the multivariate analysis for the overall survival, total lymphocyte count ≥ 1081/μL (p = 0.0014), the SARC-F score ≥ 4 (p = 0.0096), Glasgow prognostic score 1 (p = 0.0147) and 2 (p < 0.0001), ECOG-PS 2 (p < 0.0001), and 3 (p < 0.0001) and 4 (p < 0.0001) were independent predictors. In the receiver operating characteristic curve analysis on the prognostic value of the SARC-F score, the sensitivity/specificity was 0.59/0.70, and the best cutoff point of the SARC-F score was two. The SARC-F score appears to be useful in patients with gastrointestinal advanced malignancies.

Abstract

We sought to elucidate the prognostic impact of the SARC-F score among patients with gastrointestinal advanced malignancies (n = 421). A SARC-F score ≥ 4 was judged to have a strong suspicion for sarcopenia. In patients with ECOG-PS 4 (n = 43), 3 (n = 61), and 0–2 (n = 317), 42 (97.7%), 53 (86.9%) and 8 (2.5%) had the SARC-F score ≥ 4. During the follow-up period, 145 patients (34.4%) died. All deaths were cancer-related. The 1-year cumulative overall survival (OS) rate in patients with SARC-F ≥ 4 (n = 103) and SARC-F < 4 (n = 318) was 33.9% and 61.6% (p < 0.0001). In the multivariate analysis for the OS, total lymphocyte count ≥ 1081/μL (p = 0.0014), the SARC-F score ≥ 4 (p = 0.0096), Glasgow prognostic score (GPS) 1 (p = 0.0147, GPS 0 as a standard), GPS 2 (p < 0.0001, GPS 0 as a standard), ECOG-PS 2 (p < 0.0001, ECOG-PS 0 as a standard), ECOG-PS 3 (p < 0.0001, ECOG-PS 0 as a standard), and ECOG-PS 4 (p < 0.0001, ECOG-PS 0 as a standard) were independent predictors. In the receiver operating characteristic curve analysis on the prognostic value of the SARC-F score, the sensitivity/specificity was 0.59/0.70, and best cutoff point of the SARC-F score was two. In conclusion, the SARC-F score is useful in patients with gastrointestinal advanced malignancies.

U-TEST, a simple decision support tool for the diagnosis of sarcopenia in orthopaedic patients: the Screening for People Suffering Sarcopenia in Orthopedic cohort of Kobe study (SPSS-OK)

We aimed to develop and validate a new simple decision support tool (U-TEST) for diagnosis of sarcopenia in orthopaedic patients. We created seventeen candidate original questions to detect sarcopenia in orthopaedic patients with sarcopenia through expert opinions and a semi-structured interview. To derive a decision support tool, a logistic regression model with backward elimination was applied to select variables from the seventeen questions, age and underweight (BMI < 18·5 kg/m2). Sarcopenia was defined by Asian Working Group for Sarcopenia 2019 criteria. After assigning a score to each selected variable, the sum of scores was calculated. We evaluated the diagnostic performance of the new tool using a logistic regression model. A bootstrap technique was used for internal validation. Among a total of 1334 orthopaedic patients, sixty-five (4·9 %) patients were diagnosed with sarcopenia. We succeeded in developing a 'U-TEST' with scores ranging from 0 to 11 consisting of values for BMI (Underweight), age (Elderly) and two original questions ('I can't stand up from a chair without supporting myself with my arms' (Strength) and 'I feel that my arms and legs are thinner than they were in the past' (Thin)). The AUC was 0·77 (95 % CI 0·71, 0·83). With the optimal cut-off set at 3 or greater based on Youden's index, the sensitivity and the specificity were 76·1 and 63·6 %, respectively. In orthopaedic patients, our U-TEST scoring with two questions and two simple clinical variables can help to screen for sarcopenia.

Comparison of SARC-F Score among Gastrointestinal Diseases

SARC-F is a screening tool for sarcopenia. We sought to compare the SARC-F scores of patients with different gastrointestinal diseases (n = 1282 (762 males): upper gastrointestinal disease (UGD, n = 326), lower gastrointestinal disease (LGD, n = 357), biliary and pancreatic disease (BPD, n = 416), and liver disease (LD, n = 183)). Factors associated with SARC-F ≥4 points (highly suspicious of sarcopenia) were also examined. The median age was 71 years. Patients with SARC-F ≥4 points were found in 197 (15.4%). Advanced cancer was found in 339 patients (26.4%). The proportion of SARC-F ≥4 points in groups of UGD, LGD, BPD, and LD were 17.5% (57/326) in UGD, 12.0% (43/357) in LGD, 17.3% (72/416) in BPD, and 13.7% (25/183) in LD, respectively (overall p = 0.1235). In patients with and without advanced cancer, similar tendencies were observed. In the multivariate analysis, age (p < 0.0001), gender (p = 0.0011), serum albumin (p < 0.0001), lymphocyte count (p = 0.0019), C reactive protein (p = 0.0197), and the presence of advanced cancer (p = 0.0424) were significant factors linked to SARC-F ≥4 points. In patients with advanced cancer, SARC-F scores correlated well with their Glasgow prognostic scores. In conclusion, sarcopenia in gastrointestinal diseases may be affected not by disease type (i.e., the primary origin of the disease) but by aging, nutritional condition, inflammatory condition, and cancer burden.

SARC-F as a case-finding tool for sarcopenia according to the EWGSOP2. National validation and comparison with other diagnostic standards

BACKGROUND

Sarcopenia is a potentially reversible condition, which requires proper screening and diagnosis.

AIMS

To validate a Polish version of sarcopenia screening questionnaire (SARC-F), and assess its clinical performance.

METHODS

Cross-sectional validation study in community-dwelling subjects ≥ 65 years of age. Diagnosis of sarcopenia was based on the 2018 2nd European Working Group on Sarcopenia in Older People (EWGSOP2) consensus. Hand grip and 4-m gait speed were measured, and the Polish version of SARC-F was administered.

RESULTS

The mean (SD) age of 73 participants (21.9% men) was 77.8 (7.3) years. Seventeen participants (23.3%) fulfilled the EWGSOP2 criteria of sarcopenia, and 9 (12.3%) criteria for severe sarcopenia. Fourteen (19.2%) participants fulfilled the SARC-F criteria for clinical suspicion of sarcopenia. The Cronbach's alpha coefficient for internal was 0.84. With EWGSOP2 sarcopenia as a gold standard, the sensitivity of SARC-F was 35.3% (95% CI 14.2-61.7, p = 0.33), specificity was 85.7% (95% CI 73.8-93.6, p < 0.0001). The corresponding positive and negative predictive values were 42.9% (p = 0.79) and 81.4% (p < 0.0001), respectively. The probability of false-positive result was 14.3% (95% CI 6.4-26.2, p < 0.0001) and the probability of false-negative result was 64.7% (95% CI 38.3-85.8, p = 0.33). Overall the predictive power of SARC-F was low (c-statistic 0.64).

DISCUSSION

SARC-F is currently recommended for sarcopenia case finding in general population of older adults. However, its sensitivity is low, despite high specificity.

CONCLUSIONS

At present SARC-F is better suited to rule out sarcopenia then to case-finding. Further refinement of screening for sarcopenia with the use of SARC-F seems needed.

Reliability and Concurrent Validity of the SARC-F and Its Modified Versions: A Systematic Review and Meta-Analysis

OBJECTIVES

Sarcopenia, being prevalent in up to 40% of older adults, is associated with adverse health outcomes. The international sarcopenia guidelines recommend screening for sarcopenia using the SARC-F. A previous meta-analysis (2017) reported poor validity of the SARC-F among community-dwelling older adults. Since then, modified SARC-F versions were developed and new sarcopenia definitions were published, including the SARC-F for case-finding. This systematic review and meta-analysis aimed to assess the reliability of the SARC-F and its concurrent validity to identify sarcopenia.

DESIGN

Systematic review and meta-analyses.

SETTING AND PARTICIPANTS

Adults (all ages) from any study population.

METHODS

A systematic search was conducted in MEDLINE, EMBASE, Cochrane, and CINAHL (January 1, 2013, to April 6, 2020). Articles were included if they reported on the reliability and/or concurrent validity of the (modified) SARC-F. No restrictions were applied for sex, age, study population, or sarcopenia definition. Reliability measures included inter-rater reliability, test-retest reliability, and internal consistency. Meta-analyses were performed for concurrent validity.

RESULTS

The 29 included articles included 21,855 individuals (mean age of 63.3±14.6 years, 61.3% females) among community-dwelling (n = 16), geriatric inpatient (n = 5), geriatric outpatient (n = 2), nursing home (n = 2), and long-term care (n = 1) populations. The SARC-F had good (2/4 articles) to excellent (2/4 articles) inter-rater reliability, moderate (1/6 articles) to good (5/6 articles) test-retest reliability, and low (4/8 articles) to high (4/8 articles) internal consistency. The SARC-F had low to moderate sensitivity (28.9%-55.3%) and moderate to high specificity (68.9%-88.9%) according to the European Working Group on Sarcopenia in Older People (EWGSOP; n = 13), revised EWGSOP definition (EWGSOP2; n = 6), Asian Working Group for Sarcopenia (AWGS; n = 13), Foundation for the National Institutes of Health (FNIH; n = 8), International Working Group on Sarcopenia (IWGS; n = 9), and Society on Sarcopenia, Cachexia and Wasting Disorders (n = 2). The SARC-CalF had low to moderate sensitivity (45.9%-57.2%) and high specificity (87.7%-91.3%) according to the EWGSOP (n = 5), AWGS (n = 4), FNIH (n = 3), and IWGS (n = 3).

CONCLUSIONS AND IMPLICATIONS

Despite the good reliability of the SARC-F, its low to moderate sensitivity and moderate to high specificity make it nonoptimal to use for sarcopenia screening. It is recommended to apply the diagnostic criteria for sarcopenia without screening.

The relationship between primary sarcopenia and SARC-F, serum MMP9, TIMP1 levels, and MMP9/TIMP1 ratio in the geriatric patients

PURPOSE

The purpose of this study is to evaluate the relationship between serum MMP9 (Matrix metalloproteinase), TIMP1 (Tissue inhibitor of metalloproteinase) levels and MMP9/TIMP1 ratio and primary sarcopenia in geriatric patients, and compare the diagnostic accuracy of such biomarkers with that of the SARC-F score.

METHODS

A total of 88 patients aged 65 years and older were assessed in the study. Comorbidities and geriatric syndromes were determined and patients with secondary sarcopenia were excluded. EWGSOP2 criteria were used as diagnostic criteria for sarcopenia and SARC-F questionnaire was used to find individuals at risk for sarcopenia. Serum MMP9 and TIMP1 levels were analyzed by ELISA method.

RESULTS

SARC-F, serum MMP9 and MMP9/TIMP1 ratio were significantly higher in the group with sarcopenia compared to the group without sarcopenia (p = 0.001, p = 0.026 and p = 0.006, respectively). In univariate logistic regression analysis, while SARC-F score and MMP9/TIMP1 ratio were significant, MMP9, TIMP1, age and gender were not. In the multivariate logistic regression analysis of the SARC-F score and the MMP9/TIMP1 ratio, it was determined that both of them were associated with sarcopenia [Odds ratio (OR) 1.447 (95%) confidence interval (CI) 1.170-1.791, p = 0.001; OR 1.127, (95%) CI 1.016-1.249, p = 0.023, respectively]. ROC curve analysis showed that the area under ROC curve (AUC) of SARC-F and MMP9/TIMP1 was 0.703 (p = 0.001, %95 CI 0.594-0.812) and 0.670 (p = 0.006, %95 CI 0.557-0.783), respectively.

CONCLUSION

Although this study supports the use of SARC-F questionnaire in daily practice; if SARC-F can't be applicable, the MMP9/TIMP1 ratio could be an alternative choice to the SARC-F.

SARC-F Is Inaccurate to Identify Geriatric Rehabilitation Inpatients at Risk for Sarcopenia: RESORT

INTRODUCTION

Sarcopenia is highly prevalent in geriatric rehabilitation inpatients; screening using the Strength, Assistance in walking, Rise from a chair, Climb stairs, Falls history questionnaire (SARC-F) has been recommended. This study assessed the diagnostic accuracy of the SARC-F in identifying sarcopenia according to the European Working Group on Sarcopenia in Older People (EWGSOP), EWGSOP2, and Asian Working Group for Sarcopenia (AWGS) definitions in geriatric rehabilitation inpatients.

METHODS

REStOring health of acutely unwell adulTs (RESORT) is an observational, longitudinal cohort of geriatric rehabilitation inpatients. The SARC-F was completed for 2 time-points, status at preadmission (1 month before admission) and at admission; a score ≥4 was considered at risk for sarcopenia. Muscle mass (bioelectrical impedance analysis), handgrip strength (handheld dynamometry), and gait speed (4-m walk test) were measured at admission. Diagnostic accuracy was determined by sensitivity, specificity, and area under the curve (AUC).

RESULTS

The sarcopenia prevalence (n = 290, median age 84.0 years [IQR 79.0-89.0], 56.9% female) was 40.3% (EWGSOP1), 25.4% (EWGSOP2), and 38.8% (AWGS). For preadmission and admission status, respectively, the SARC-F identified 67.9 and 82.1% (EWGSOP), 66.0 and 81.0% (EWGSOP2), and 67.5 and 81.6% (AWGS) inpatients at risk for sarcopenia. The SARC-F showed fair sensitivity (67-74%), poor specificity (32-37%), and poor AUC (0.411-0.474) to identify inpatients at risk for sarcopenia at preadmission status, and fair-good sensitivity (79-84%), poor specificity (17-20%), and poor AUC (0.401-0.432) to identify inpatients at risk for sarcopenia at admission, according to EWGSOP, EWGSOP2, and AWGS definitions.

CONCLUSION

The SARC-F showed poor diagnostic accuracy in identifying sarcopenia in geriatric rehabilitation inpatients. Assessment of sarcopenia is recommended without screening.

Decreased Tongue Strength is Related to Skeletal Muscle Mass in COPD Patients

Dysphagia is frequently observed in patients with chronic obstructive pulmonary disease (COPD). Decreased tongue strength is one of the causes of dysphagia, and it is often observed in patients with sarcopenia. Sarcopenia is also frequently observed in COPD patients. We hypothesized that tongue strength is lower in COPD patients compared to normal subjects. This was a single-center, observational, cross-sectional study. Maximum tongue pressure (MTP) was measured in 27 patients with COPD and 24 age-matched control subjects. We also evaluated handgrip strength, gait speed, and appendicular skeletal muscle mass to define subjects as having sarcopenia. We used bioelectrical impedance analysis to assess body composition. The eating assessment test-10 was used to diagnose dysphagia. MTP was significantly lower in COPD patients than in control subjects (33.8 ± 8.4 vs 38.0 ± 5.3; p = 0.032). All measures of muscle and fat free body mass, handgrip strength, and gait speed were also significantly lower in COPD patients compared to control subjects (p < 0.01). The prevalence of sarcopenia in COPD patients was higher than that in control subjects (6/27 versus 0/24; p = 0.007), but the prevalence of dysphagia was not different between groups (COPD: 5/27, versus control: 1/24; p = 0.112). MTP was moderately correlated with skeletal muscle mass index (r = 0.56, p = 0.003) and handgrip strength (r = 0.43, p = 0.027) in COPD patients. Tongue strength was lower in COPD patients compared to normal subjects, and decreased tongue strength may be correlated with sarcopenia in COPD patients.

Sarcopenia and Frailty in Liver Cirrhosis

Skeletal muscle is the largest organ in the body, and skeletal muscle atrophy results from a shift in the balance of protein synthesis and degradation toward protein breakdown. Primary sarcopenia is defined as a loss of skeletal muscle mass and strength or physical function due to aging, and secondary sarcopenia is defined as a loss of skeletal muscle mass and strength or physical function due to underlying diseases. Liver cirrhosis (LC) is one of the representative diseases which can be complicated with secondary sarcopenia. Muscle mass loss becomes more pronounced with worsening liver reserve in LC patients. While frailty encompasses a state of increased vulnerability to environmental factors, there is also the reversibility of returning to a healthy state with appropriate intervention. Several assessment criteria for sarcopenia and frailty were proposed in recent years. In 2016, the Japan Society of Hepatology created assessment criteria for sarcopenia in liver disease. In Japan, health checkups for frailty in the elderly aged 75 years or more started in April 2020. Both sarcopenia and frailty can be adverse predictors for cirrhotic patients. In this review article, we will summarize the current knowledge of sarcopenia and frailty in LC patients.

Practical screening tools for sarcopenia in patients with systemic sclerosis

Introduction

In view of the method of diagnosing sarcopenia being complex and considered to be difficult to introduce into routine practice, the European Working Group on Sarcopenia in Older People (EWGSOP) recommends the use of the SARC-F questionnaire as a way to introduce assessment and treatment of sarcopenia into clinical practice. Only recently, some studies have turned their attention to the presence of sarcopenia in systemic sclerosis (SSc).There is no data about performance of SARC-F and other screening tests for sarcopenia in this population.

Objective

To compare the accuracy of SARC-F, SARC-CalF, SARC-F+EBM, and Ishii test as screening tools for sarcopenia in patients with SSc.

Methods

Cross-sectional study of 94 patients with SSc assessed by clinical and physical evaluation. Sarcopenia was defined according to the revised 2019 EWGSOP diagnostic criteria (EWGSOP2) with assessments of dual-energy X-ray absorptiometry, handgrip strength, and short physical performance battery (SPPB). As case finding tools, SARC-F, SARC-CalF, SARC-F+EBM and Ishii test were applied, including data on calf circumference, body mass index, limitations in strength, walking ability, rising from a chair, stair climbing, and self reported number of falls in the last year. The screening tests were evaluated through receiver operating characteristic (ROC) curves. Standard measures of diagnostic accuracy were computed using the EWGSOP2 criteria as the gold standard for diagnosis of sarcopenia.

Results

Sarcopenia was identified in 15 (15.9%) patients with SSc by the EWGSOP2 criteria. Area under the ROC curve of SARC-F screening for sarcopenia was 0.588 (95% confidence interval (CI) 0.420–0.756, p = 0.283). The results of sensitivity, specificity, positive likelihood ratio (+LR), negative likelihood ratio (-LR) and diagnostic Odds Ratio (DOR) with the EWGSOP2 criteria as the gold standard were 40.0% (95% CI, 19.8–64.2), 81.0% (95% CI, 71.0–88.1), 2.11 (95% CI, 0.98–4.55), 0.74 (95% CI, 0.48–1.13) and 2.84 (95% CI, 0.88–9.22), respectively. SARC-CalF and SARC-F+EBM showed better sensitivity (53.3%, 95% CI 30.1–75.2 and 60.0%, 95% CI 35.7–80.2, respectively) and specificity (84.8%, 95% CI 75.3–91.1 and 86.1%, 95% CI 76.8–92.0, respectively) compared with SARC-F. The best sensitivity was obtained with the Ishii test (86.7%, 95% CI 62.1–96.3), at the expense of a small loss of specificity (73.4%, 95% CI 62.7–81.9). Comparing the ROC curves, SARC-F performed worse than SARC-CalF, SARC-F+EBM and Ishii test as a sarcopenia screening tool in this population (AUCs 0.588 vs. 0.718, 0.832, and 0.862, respectively). Direct comparisons between tests revealed differences only between SARC-F and Ishii test for sensitivity (p = 0.013) and AUC (p = 0.031).

Conclusion

SARC-CalF, SARC-F+EBM, and Ishii test performed better than SARC-F alone as screening tools for sarcopenia in patients with SSc. Considering diagnostic accuracy and feasibility aspects, SARC-F+EBM seems to be the most suitable screening tool to be adopted in routine care of patients with SSc.

Validating care-needs level against self-reported measures of functioning, disability and sarcopenia among Japanese patients receiving home medical care: The Zaitaku Evaluative Initiatives and Outcome Study

AIM

This study aimed to examine the validity of the care-needs levels classified in Japan's long-term care insurance system (LTCI-CNLs) when compared with patients' self-perceived functioning, disability and physical performance among patients receiving home medical care.

METHODS

This was a multicenter cross-sectional study in Japan. Patients who were receiving continuous home medical care and who could respond to the questionnaire were enrolled in this study. In addition to the LTCI-CNLs, the 12-item version of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) and the SARC-F were used to measure functioning, disability and physical performance (sarcopenia). In addition, correlations and associations of the LTCI-CNLs with the WHODAS 2.0 and SARC-F were analyzed using Spearman correlations and linear mixed models.

RESULTS

Data from 181 patients were included in the analyses. The LTCI-CNLs varied, ranging from support level 1 (5.5%) to care-needs level 5 (10.5%), with care-needs level 2 being the most prevalent (24.9%). Moderate correlations of the LTCI-CNLs with the WHODAS 2.0 and SARC-F were found (ρ = 0.58 and 0.44, respectively). Although WHODAS 2.0 and SARC-F scores varied within each LTCI-CNL, predicted WHODAS 2.0 and SARC-F scores increased as LTCI-CNL increased. Dementia was not associated with WHODAS 2.0 or SARC-F.

CONCLUSIONS

The LTCI-CNLs was associated with self-reported functioning, disability and physical performance among home medical care patients. Future studies can use the LTCI-CNLs as an outcome variable for specific care approaches or as a proxy covariate for casemix status. Geriatr Gerontol Int 2021; 21: 229-237.

Hopelessness and Depression Predict Sarcopenia in Advanced CKD and Dialysis: A Multicenter Cohort Study

BACKGROUND/OBJECTIVES

Depression and hopelessness are frequently experienced in chronic kidney disease (CKD) and are generally associated with lessened physical activity. The aim of this study was to quantify the associations between sarcopenia as determined by SARC-F with both depression and hopelessness.

DESIGN AND SETTING

This multicenter cohort study involving cross-sectional and longitudinal analyses was conducted in a university hospital and four general hospitals, each with a nephrology center, in Japan.

PARTICIPANTS

Participants consisted of 314 CKD patients (mean age 67.6), some of whom were receiving dialysis (228, 73%).

MEASUREMENTS

The main exposures were depression, measured using the Center for Epidemiologic Studies Depression (CES-D) questionnaire, and hopelessness, measured using a recently developed 18-item health-related hope scale (HR-Hope). The outcomes were sarcopenia at baseline and one year after, measured using the SARC-F questionnaire. Logistic regression models were applied.

RESULTS

The cross-sectional and longitudinal analyses included 314 and 180 patients, respectively. Eighty-nine (28.3%) patients experienced sarcopenia at baseline, and 44 (24.4%) had sarcopenia at the one-year follow-up. More hopelessness (per 10-point lower, adjusted odds ratio [AOR]: 1.33, 95% confidence interval [95% CI] 1.12-1.58), depression (AOR: 1.87, 95% CI 1.003-3.49), age (per 10-year higher, AOR: 1.70, 95% CI 1.29-2.25), being female (AOR: 2.67, 95% CI 1.43-4.98), and undergoing hemodialysis (AOR, 2.92; 95% CI, 1.41-6.05) were associated with a higher likelihood of having baseline sarcopenia. More hopelessness (per 10-point lower, AOR: 1.69, 95% CI 1.14-2.51) and depression (AOR: 4.64, 95% CI: 1.33-16.2) were associated with a higher likelihood of having sarcopenia after one year.

CONCLUSIONS

Among patients with different stages of CKD, both hopelessness and depression predicted sarcopenia. Provision of antidepressant therapies or goal-oriented educational programs to alleviate depression or hopelessness can be useful options to prevent sarcopenia.

Comparison of Diagnostic Performance of SARC-F and Its Two Modified Versions (SARC-CalF and SARC-F+EBM) in Community-Dwelling Older Adults from Poland

PURPOSE

Older adults should be routinely screened for sarcopenia, which threatens healthy, independent aging. The most popular screening tool is the SARC-F questionnaire. As its sensitivity is unsatisfactory, two modified versions of the questionnaire have been published: SARC-CalF (including calf circumference as an additional item) and SARC-F+EBM (assessing additionally age and Body Mass Index). The diagnostic performance of the three versions of the questionnaire has not been compared. The analysis aimed to assess the diagnostic value of SARC-F, SARC-CalF, and SARC-F+EBM questionnaires, and to compare their psychometric properties against two reference standards of sarcopenia diagnosis, ie, EWGSOP1 and modified EWGSOP2 criteria.

MATERIALS AND METHODS

We performed the sensitivity/specificity analysis and compared the overall diagnostic accuracy of SARC-F, SARC-CalF (31cm) (cut-off point 31 cm for both genders), SARC-CalF (33/34cm) (cut-off points: 33 cm for women and 34 cm for men), and SARC-F+EBM in 115 community-dwelling volunteers aged ≥ 65 yrs from Poland.

RESULTS

Depending on the version of the SARC-F questionnaire used, from 10.4% [SARC-CalF (31cm)] to 33.0% (SARC-F+EBM) were identified as having an increased risk of sarcopenia. Sarcopenia was identified in 17.4% by the EWGSOP1 criteria and in 13.9% by the modified EWGSOP2 criteria. With respect to the two reference standards used, the sensitivity of SARC-F, SARC-CalF (31cm), SARC-CalF (33/34cm), and SARC-F+EBM ranged 30.0-37.5%, 35.0-37.5%, 60.0-62.5%, 55.0% (the same value for both reference standards), respectively. The specificity ranged 85.3-85.9%, 93.9-94.7%, 88.4-86.9%, 70.7-71.6%, respectively. The AUC of SARC-F, SARC-CalF (31cm), SARC-CalF (33/34cm) and SARC-F+EBM ranged 0.644-0.693, 0.737-0.783, 0.767-0.804, 0.714-0.715, respectively.

CONCLUSION

The modified versions of SARC-F have better diagnostic performance as compared to the original questionnaire. Since an ideal screening tool should have reasonably high sensitivity and specificity, and an AUC value above 0.7, the SARC-CalF (33/34cm) seems to be the best screening tool for sarcopenia in community-dwelling older adults.

The identification of probable sarcopenia in early old age based on the SARC-F tool and clinical suspicion: findings from the 1946 British birth cohort

Aim

To describe the prevalence of probable sarcopenia in a sample of older adults and to investigate (1) the SARC-F tool and (2) clinical risk factors in the identification of probable sarcopenia.

Findings

The prevalence of probable sarcopenia at age 69 was 19%, and a SARC-F score of ≥ 1 had a reasonable balance of sensitivity (65%) and specificity (72%) for probable sarcopenia. Three clinical risk factors were independently associated with probable sarcopenia: polypharmacy, lower body osteoarthritis and physical inactivity.

Message

Those with any positive responses to the questions in the SARC-F tool, a history of polypharmacy, lower body osteoarthritis or physical inactivity should be prioritised for the assessment of muscle strength.

Electronic supplementary material

The online version of this article (10.1007/s41999-020-00310-5) contains supplementary material, which is available to authorized users.

Purpose

The European Working Group on Sarcopenia in Older People 2 (EWGSOP2) consensus definition introduced the concept of probable sarcopenia as a basis on which to begin treatment. Our aims were to describe the prevalence of probable sarcopenia in older adults and to investigate the utility of (1) the SARC-F tool and (2) clinical risk factors for the identification of those likely to have probable sarcopenia.

Methods

We used data from the 1946 British birth cohort at age 69, with 1686 participants included in the analyses. We used the EWGSOP2 cut points for weak grip strength and slow chair rise time, with the presence of one or both indicating probable sarcopenia. We examined the sensitivity and specificity of the SARC-F tool for probable sarcopenia. We also examined associations between clinical risk factors and probable sarcopenia.

Results

The prevalence of probable sarcopenia was 19%. A SARC-F score of ≥ 4 had low sensitivity (15%) and high specificity (99%) for probable sarcopenia, whereas a score of ≥ 1 had higher sensitivity (65%) and reasonable specificity (72%). Three clinical risk factors were independently associated with probable sarcopenia: polypharmacy [OR 2.7 (95% CI 1.7, 4.2)], lower body osteoarthritis [OR 1.8 (95% CI 1.3, 2.6)] and physical inactivity [OR of 2.1 (95% CI 1.5, 2.8)].

Conclusion

We have shown that EWGSOP2 probable sarcopenia is common in community-dwelling adults in early old age. Those with any positive responses to the questions in the SARC-F tool, a history of polypharmacy, lower body osteoarthritis or physical inactivity should be prioritised for the assessment of muscle strength.

Electronic supplementary material

The online version of this article (10.1007/s41999-020-00310-5) contains supplementary material, which is available to authorized users.

SARC-F as a Screening Tool for Sarcopenia and Possible Sarcopenia Proposed by AWGS 2019 in Hospitalized Older Adults

OBJECT

The SARC-F questionnaire is a sarcopenia screening tool. However, the validity of the SARC-F score ≥4 (SARC-F≥4) for the evaluation of sarcopenia in the hospital setting has not been investigated. This study investigated the validity of SARC-F≥4 as a screening tool for sarcopenia among hospitalized older adults.

DESIGN

Cross-sectional retrospective study.

SETTING

A university hospital.

PARTICIPANTS

This study included older adult patients (age ≥65 years) who were hospitalized at, and subsequently discharged from, the hospital between April and September 2019 and underwent a nutritional assessment by the nutrition support team during their hospitalization.

MEASUREMENTS

SARC-F was recorded at the time of admission, and the criteria specified by the Asia Working Group for Sarcopenia in 2019 (AWGS 2019) were applied to diagnose sarcopenia and possible sarcopenia. Appendicular muscle mass was estimated through validated equations, and three different models were developed for sarcopenia diagnosis. The sensitivity, specificity, and positive/negative likelihood ratios were calculated to analyze the accuracy of the SARC-F≥4 for sarcopenia and possible sarcopenia. Receiver-operating characteristic analyses were conducted to calculate the area under the curve (AUC).

RESULTS

In total, 1,689 patients (mean age: 77.2±7.3 years; male: 54.4%) were analyzed, and 636 patients (37.7%) had SARC-F≥4. Patients with SARC-F≥4 had a statistically significant higher prevalence of AWGS 2019-defined sarcopenia than patients with SARC-F <4 in the models (65.4-78.9% vs 40.9-45.2%, p<0.001). The sensitivity, specificity, and positive/negative likelihood ratios of SARC-F≥4 for sarcopenia and possible sarcopenia were 49.1-51.3%, 73.9-81.2%, and 1.88-2.72/0.60-0.69 and 48.0%, 84.5%, and 3.11/0.62, respectively. The AUC for sarcopenia and possible sarcopenia were 0.644-0.695 and 0.708, respectively. The AUC of SARC-F for possible sarcopenia was equivalent to or larger than that for sarcopenia (DeLong test p=0.438, 0.088, and <0.001 vs the three models).

CONCLUSIONS

SARC-F≥4 is suitable as a screening tool for sarcopenia in hospitalized older adults. SARC-F assessment could facilitate the detection and exclusion of sarcopenia at hospitalization and may lead to early adoption of a therapeutic and preventive approach.

Validation of the Danish SARC-F in Hospitalized, Geriatric Medical Patients

OBJECTIVES

Validation of the Danish version of the SARC-F (Strength, Assistance in walking, Rise from a chair, Climb stairs, and Falls) for hospitalized geriatric medical patients, compared against the original EWGSOP (European Working Group on Sarcopenia in Older People) and revised EWGSOP2 definition for sarcopenia. Additionally, investigation of the ability of SARC-F to individually identify low strength/function and muscle mass.

DESIGN

Cross-sectional analysis of data from an RCT.

SETTING

Hospital, Medical Department.

PARTICIPANTS

122 geriatric medical patients (65.6% women) ≥ 70 years of age with mixed medical conditions.

MEASUREMENTS

SARC-F screening, diagnostic assessment of sarcopenia (hand-grip strength, muscle mass measured by dual-frequency bio-impedance analysis, and 4-m usual gait speed).

RESULTS

The prevalence of risk of sarcopenia (SARC-F ≥ 4) was 48.3%, while it was diagnosed in 65.8% and 21.7%, with EWGSOP and EWGSOP2, respectively. The sensitivity, specificity, positive predictive value, negative predictive value according to EWGSOP were 50.0 %, 53.7 %, 67.2% and 36.1%, while they were 53.8 %, 53.2 %, 24.1% and 80.6%, according to EWGSOP2 (all participants). The ability of SARC-F to predict reduced strength, function, and muscle mass was modest. There was a significant negative linear, yet weak, relationship between total SARC-F score and hand-grip strength (R2=0.033) and 4-m gait speed (R2=0.111), but not muscle mass (R2=0.004).

CONCLUSION

SARC-F does not seem to be a suitable screening tool for identifying and excluding non-sarcopenic geriatric patients. Furthermore, the SARC-F score was more strongly correlated with reduced muscle strength and physical function than with low muscle mass.