UNASSIGNED: Individuals diagnosed with schizophrenia have a high incidence and fatality rates due to pneumonia. Sarcopenia is a contributing factor to the development of pneumonia in patients with schizophrenia. In this study, we examine the effectiveness of three simple screening questionnaires, namely SARC-F, SARC-CalF, and SARC-F + EBM, in predicting the occurrence of pneumonia in stable patients with schizophrenia who are experiencing sarcopenia.
UNASSIGNED: A prospective study.
UNASSIGNED: Patients with stable schizophrenia patients aged ≥50 years in two psychiatric hospitals in western China.
UNASSIGNED: Medical data from patients were collected from September 1 to September 30, 2020. Data specifically from patients diagnosed with pneumonia were collected for a period of one year, from October 2020 to October 2021. Three hundred thirty-five stable schizophrenia patients, among whom 229 were males (68.36 %.), were enrolled in the prospective study. The risk of sarcopenia was evaluated using the SARC-F, SARC-CalF, and SARC-F + EBM scores, with values of ≥4, 11, and 12 indicating an elevated risk of sarcopenia. The collected data were analyzed using logistic regression analysis to establish the association between the scores of these screening tools and the risk of pneumonia in individuals with stable schizophrenia.
UNASSIGNED: The rate of pneumonia in stable schizophrenia individuals was 24.48 %. Among the included stable schizophrenia patients, the incidence of pneumonia in individuals with SARC-CalF scores ≥11 was higher than in those with SARC-CalF scores less than 11 (29.91 % vs 14.88 %, P = 0.002). In individuals with SARC-F + EBM scores ≥12, the pneumonia occurrence was higher than that in those with SARC-F + EBM scores less than 12 (37.33 % vs 20.77 %, P = 0.003). However, this pattern was not found in patients with stable schizophrenia who had SARC-F scores of 4 or above and less than 4. Following the implementation of logistic regression data analysis, it has been discovered that persons with SARC-CalF scores greater than or equal to 11 were at a significantly increased risk of having pneumonia compared to patients with SARC-CalF scores less than 11 (OR = 2.441, 95 % CI: 1.367-4.36). After adjusting the possible confounders, patients with SARC-CalF scores ≥11 had a greater danger of pneumonia (OR = 2.518, 95%CI: 1.36-4.665). As a result, it was found that individuals with SACR-F+EBM scores ≥12 were more likely to acquire pneumonia (OR = 2.273, 95%CI: 1.304-3.961) when compared to those with scores <12 (OR = 2.273, 95%CI: 1.304-3.961). The results of this study, which controlled for potential confounders, indicated that patients with SARC-F + EBM scores ≥12 were more inclined to acquire pneumonia (OR = 2.181, 95%CI: 1.182-4.026). However, in stable schizophrenia patients with SARC-F scores ≥4 and < 4, this study has not yet observed a similar pattern for pneumonia risk.
UNASSIGNED: These results demonstrate, in stable adults with schizophrenia, a relationship between pneumonia risk and SARC-F + EBM and SARC-CalF scores. It is, therefore, advised to use these scores to determine whether these patients have pneumonia, especially in hospitals that cannot diagnose sarcopenia.

OBJECTIVE: It is recommended by Asian Working Group for Sarcopenia to early identify people at risk for sarcopenia using simple screening tools like SARC-F. The modified version SARC-F+EBM showed higher diagnostic performance. However, this cut-off value of body mass index (BMI) remained uncertain to be used in Chinese population. In this study, we used appropriate BMI recommended for Chinese older population and further modified SARC-F+EBM by combining calf circumference.
METHODS: Diagnostic tests were performed and the receiver operating characteristics analyses were conducted between the SARC-F, SARC-F+EBM (cut-off of BMI: ≤ 21 kg/m2), SARC-F+EBM (CN) (cut-off of BMI: ≤ 22 kg/m2), SARC-CalF and SARC-CalF+EBM (CN) (cut-off of BMI: ≤ 22 kg/m2) in 1660 community-dwelling participants aged ≥ 65 years from China.
RESULTS: The participants had an average age of 71.7±5.1 years, of which 56.8% were women. All the modified models could enhance the areas under the receiver operating characteristic curve (AUC) of original SARC-F (all p<0.001). The SARC-F+EBM (CN) also showed a significantly higher sensitivity of 47.4% (p<0.001) and an AUC of 0.809 (p=0.005) than SARC-F+EBM. SARC-CalF+EBM (CN) was validated to be of great diagnostic value of the highest AUC of 0.88 among these sarcopenia screening tools, including SARC-F, SARC-CalF and SARC-F+EBM (CN) (all p<0.001). Using this study population as a reference, the optimal cut-off value of SARC-CalF+EBM (CN) is ≥12 points, with a sensitivity of 79.3% and a specificity of 80.7%.
CONCLUSIONS: The SARC-F+EBM (CN) and SARC-CalF+EBM (CN) could enhance the diagnostic performance of SARC-F and SARC-F+EBM and are suitable sarcopenia screening tools for Chinese population.

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.
CONCLUSIONS: 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.

UNASSIGNED: To examine the validity of the 5-component SARC-F questionnaire for screening sarcopenia among patients with chronic kidney disease (CKD).
UNASSIGNED: Eligible participants were enrolled from the Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine from March 2019 to November 2019. Evaluations were performed using the self-administered SARC-F questionnaire. Sarcopenia was diagnosed by grip strength, the chair stand test and appendicular skeletal muscle mass. The severity of sarcopenia was evaluated by gait speed. We calculated the sensitivity and specificity of the SARC-F to evaluate construct validity. Moreover, receiver operating characteristic (ROC) curve analysis was performed to identify the cutoff value for nondialysis-dependent (NDD) CKD patients\' and maintenance hemodialysis (MHD) patients\' scores.
UNASSIGNED: A total of 105 NDD-CKD patients and 125 MHD patients were included, and the prevalence of sarcopenia was 5.7 and 31.2%, respectively. Among them, there were 21 (16.8%) MHD patients with severe sarcopenia but no NDD-CKD patients with severe sarcopenia. The sensitivity and specificity of the SARC-F were 16.7 and 98.0% for NDD-CKD patients, and 48.7 and 89.5% for MHD patients, respectively. For NDD-CKD patients, the area under the receiver operating characteristic curve (AUROC) of the total SARC-F score was 0.978 (95% confidence interval (CI): 0.929-0.997, p < 0.001), and the cutoff value of 1 reached the highest Youden index of 0.950 and max ROC curve area of 0.974. For MHD patients, the AUROC of the total SARC-F score was 0.730 (95% CI: 0.644-0.806, p < 0.001), and the cutoff value of 4 reached the highest Youden index of 0.383 and max ROC curve area of 0.691.
UNASSIGNED: CKD patients, especially MHD patients, were at high risk of suffering sarcopenia. The SARC-F had low-to-moderate sensitivity but high specificity for screening sarcopenia among patients with CKD. The best cutoff values of the SARC-F score were different for screening sarcopenia among NDD-CKD and MHD patients.

This study aimed to compare the diagnostic values of SARC-F (strength, assistance with walking, rising from a chair, climbing stairs, and falls), SARC-Calf (SARC-F combined with calf circumference), CC (calf circumference), and the Yubi-wakka (finger-ring) test for screening for sarcopenia in community-dwelling older adults. The Asian Working Group for Sarcopenia (AWGS) 2019 criteria were used as a standard reference. A total of 209 participants were enrolled, and 40.7% were identified as sarcopenia. The sensitivity, specificity, and AUC were respectively 54.1%, 70.2%, and 0.687 for SARC-F; 76.5%, 73.4% and 0.832 for SARC-calf, 86.7%, 82.4%, and 0.906 for CC in men, and 85.5%, 63.3%, and 0.877 for CC in women. Relative to the \"bigger,\" a significant association between sarcopenia and the Yubi-wakka test (\"just fits\" OR: 4.1, 95% CI: 1.57-10.98; \"small\" OR: 27.5, 95% CI: 10.14-74.55) was observed. The overall accuracy of CC was better than SARC-Calf for sarcopenia screening.

We aimed to assess the comparative accuracy of using SARC-F, as well as the SARC-F in tandem with calf circumference (SARC-CalF) and Ishii test, to screen severe sarcopenia in older adults residing in nursing homes.
In this cross-sectional study, the AWGS2019 criteria were used as diagnostic standards. We adopted an \"exclusion\" screening test, focusing on sensitivity and the negative predictive value (NPV) combined with AUC, to assess the accuracy of the screening tools.
We studied 199 people aged 60 and older, of whom 67 (33.7%) had severe sarcopenia, including 40 males (41.2%) and 27 females (26.5%). Among all participants, the sensitivities and NPV of SARC-F, SARC-CalF, and Ishii test were 85.1%/0.88, 68.7%/0.82, and 89.6%/0.94, respectively. For males, the SARC-F, SARC-CalF, and Ishii test sensitivities and NPV were 77.5%/0.78, 47.5%/0.7, and 85%/0.88, respectively. Among females, the SARC-F, SARC-CalF, and Ishii test sensitivities and NPV were 74.1%/0.9, 81.5%/0.92, 96.3%/0.99, respectively. There were no statistical differences between the AUCs of SARC-F or SARC-CalF for all participants or for the male or female groups; however, in terms of the AUC, the Ishii test was superior compared with the other two screening methods.
The Ishii test is more suitable for screening severe sarcopenia in older adults in nursing homes compared to SARC-F and SARC-CalF, and 130 points are recommended as the cut-off value of the Ishii test for screening severe sarcopenia.

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.
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).
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.
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.

UNASSIGNED: 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.
UNASSIGNED: 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).
UNASSIGNED: 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.
UNASSIGNED: 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.

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

Since the outbreak of COVID-19, it has been documented that old age and underlying illnesses are associated with poor prognosis among COVID-19 patients. However, it is unknown whether sarcopenia, a common geriatric syndrome, is associated with poor prognosis among older COVID-19 patients. The aim of our prospective cohort study is to investigate the association between sarcopenia risk and severe disease among COVID-19 patients aged ≥60 years.
A prospective cohort study of 114 hospitalized older patients (≥60 years) with confirmed COVID-19 pneumonia between 7 February, 2020 and 6 April, 2020. Epidemiological, socio-demographic, clinical and laboratory data on admission and outcome data were extracted from electronic medical records. All patients were assessed for sarcopenia on admission using the SARC-F scale and the outcome was the development of the severe disease within 60 days. We used the Cox proportional hazards model to identify the association between sarcopenia and progression of disease defined as severe cases in a total of 2908 person-days.
Of 114 patients (mean age 69.52 ± 7.25 years, 50% woman), 38 (33%) had a high risk of sarcopenia while 76 (67%) did not. We found that 43 (38%) patients progressed to severe cases. COVID-19 patients with higher risk sarcopenia were more likely to develop severe disease than those without (68% versus 22%, p < 0.001). After adjustment for demographic and clinical factors, higher risk sarcopenia was associated with a higher hazard of severe condition [hazard ratio = 2.87 (95% CI, 1.33-6.16)].
We found that COVID-19 patients with higher sarcopenia risk were more likely to develop severe condition. A clinician-friendly assessment of sarcopenia could help in early warning of older patients at high-risk with severe COVID-19 pneumonia.