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

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.

Diagnostic performance of SARC-F and SARC-CalF in screening for sarcopenia in older adults in Northern Brazil

To compare the performance of SARC-F and SARC-CalF as screening tools for sarcopenia. Cross-sectional study with a convenience sample of 312 community-dwelling older people. Sarcopenia was defined as low handgrip strength (HGS) or low gait speed (GS ≤ 0.8 m/s). HGS was measured by dynamometry and GS by the 4-m walking speed test. For HGS, six criteria (C) were used to identify sarcopenia in men/women: C_I: < 27 kg/16 kg; C_II: < 35.5 kg/20.0 kg; C_III: grip over body mass index < 1.05/< 0.79; C_IV: grip strength over total body fat < 1.66/< 0.65; C_V: grip over bodyweight < 0.45/< 0.34; C_VI: < 27 kg/16 kg and low skeletal muscle mass index (SMMI); C_I and C_VI defined according to the European Working Group on sarcopenia in older people and the rest according to the sarcopenia definition and outcomes Consortium. For sarcopenia screening, the SARC-F (≥ 4 points) and the SARC-CalF (≥ 11 points) were used. The kappa analysis revealed no agreement between the SARC-F and the various criteria for the identification of sarcopenia in men. The same lack of agreement was observed in women with some exceptions: C_I = 0.161 ± 0.074, p = 0.020; GS = 0.209 ± 0.076, p = 0.003. Concerning the Cohen's kappa between the SARC-Calf and the reference criteria of sarcopenia, the following coefficients were observed as significant for women: C_I = 0.201 ± 0.069, p = 0.003; C_II = 0.186 ± 0.064, p = 0.005; GS = 0.273 ± 0.068, p = 0.0001; and for men: C_II = 0.139 ± 0.053, p = 0.021; GS = 0.223 ± 0.099, p = 0.011. ROC curves revealed the SARC-Calf with acceptable discrimination and reasonable sarcopenia predictive capacity considering a cutoff value of 10.5 in both men (AUC: 67.5%, p = 0.022; Se = 52.9%; Sp = 76.8%) and women (AUC: 72.4%, p < 0.001; Se = 63%; Sp = 68.5%) concerning GS. The SARC-CalF performed better than the SARC-F for screening sarcopenia in the population ≥ 60 years of age in the Amazonas, measured through walking slowness.

Symptoms of Sarcopenia and Physical Fitness through the Senior Fitness Test

INTRODUCTION

Physical fitness concerns a set of attributes related to the ability to perform physical activity that may justify the symptoms reported by the elderly in the context of sarcopenia.

OBJECTIVE

This study aimed to investigate the relationship between the perception (symptomatology) of physical functioning (what the person thinks they are capable of) and the capacity itself for physical functioning in elderly people in northern Brazil.

METHODS

Cross-sectional study that analyzed 312 elderly people (72.6 ± 7.8 years) from the city of Novo Aripuanã, Amazonas, Brazil. Sarcopenia symptomatology was assessed using the SARC-F, a 5-item questionnaire designed for screening sarcopenia in older individuals in five domains: strength, walking aids, difficulty getting up from a chair, difficulty climbing stairs, and falls. Physical fitness was assessed by the Senior Fitness Test (SFT) battery including balance evaluated with the short version of the Fullerton Advanced Balance scale (FAB).

RESULTS

ROC curve analysis revealed that the tests with the greatest ability to discriminate participants with significant symptoms for sarcopenia (≥4 points on SARC-F) were arm curl and 6 min walk: the probability of suspected sarcopenia increased exponentially with an arm curl < 11.5 reps for men (se = 71%; sp = 69%; AUC = 0.706, 95% CI: 0.612-0.788; p = 0.013) and women (se = 81%; sp = 51%; AUC = 0.671, 95% CI: 0.601-0.735; p ≤ 0.001) or with a 6-min walk <408.5 m for men (se = 71%; sp = 63%; AUC = 0.720, 95% CI: 0.628-0.690; p = 0.001) and <366.0 m for women (se = 69%; sp = 58%; AUC = 0.692, 95% CI: 0.623-0.755; p = 0.0001).

CONCLUSIONS

Physical fitness assessed through the senior fitness test, particularly the 30-s-arm curl test and the 6-min walk test, can discriminate for suspected symptoms of sarcopenia.

Prevalence of sarcopenia in patients with chronic intestinal failure-how are SARC-F and the EWGSOP algorithm associated before and after a physical exercise intervention

INTRODUCTION

Patients with chronic intestinal failure (IF) have a low degree of physical activity, decreased muscle mass, and decreased muscle strength, leading to a high risk of sarcopenia. We aimed to test the prevalence of sarcopenia by the use of SARC-F and EWGSOP and to investigate the association between the two at baseline and after 12 weeks of an exercise intervention.

METHODS

Thirty-one patients with chronic IF completed 12 weeks of three weekly home-based individualized exercise sessions. Body composition was measured by bioimpedance analysis and physical function by handgrip strength (HGS) and timed up-and-go (TUG). Sarcopenia was assessed by SARC-F and EWGSOP. Multiple regression analysis was used to test for the association between the two tools.

RESULTS

The prevalence of sarcopenia measured by EWGSOP was 59%. This prevalence did not change after the intervention. At baseline, 38.8% of patients were screened as at risk for sarcopenia by SARC-F. This decreased to 29.0% after the intervention (P < 0.001). A statistically significant increase was achieved in muscle mass (P = 0.017) and muscle mass index (P = 0.016). Furthermore, both TUG (P = 0.033) and HGS (P = 0.019) improved.

CONCLUSIONS

Sarcopenia is prevalent in patients with chronic IF. EWGSOP finds more patients to be at risk of sarcopenia than SARC-F but was not sufficiently sensitive to measure changes induced by the physical intervention. The significant change in SARC-F may illustrate that patients, themselves, find an improvement in self-perceived health.

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.