SARC-F

SARC - F
  • 文章类型: Journal Article
    诊断为精神分裂症的个体由于肺炎而具有高发病率和高死亡率。肌肉减少症是精神分裂症患者肺炎发展的一个促成因素。在这项研究中,我们研究了三个简单的筛查问卷的有效性,即SARC-F,SARC-CalF,和SARC-F+EBM,预测患有肌肉减少症的精神分裂症稳定期患者的肺炎发生。
    一项前瞻性研究。
    中国西部地区两家精神病医院年龄≥50岁的稳定期精神分裂症患者。
    患者的医疗数据收集时间为2020年9月1日至9月30日。专门从诊断为肺炎的患者收集了一年的数据,从2020年10月到2021年10月。三百三十五名稳定的精神分裂症患者,其中男性229人(68.36%。),参加了前瞻性研究。使用SARC-F评估肌肉减少症的风险,SARC-CalF,和SARC-F+EBM分数,值≥4、11和12表明肌肉减少症的风险升高。使用逻辑回归分析对收集的数据进行分析,以建立这些筛查工具的得分与稳定期精神分裂症患者的肺炎风险之间的关联。
    稳定期精神分裂症患者的肺炎发生率为24.48%。在纳入的稳定期精神分裂症患者中,SARC-CalF评分≥11分的患者的肺炎发生率高于SARC-CalF评分小于11分的患者(29.91%vs14.88%,P=0.002)。在SARC-F+EBM评分≥12的个体中,肺炎发生率高于SARC-F+EBM评分小于12的个体(37.33%vs20.77%,P=0.003)。然而,这种模式在SARC-F评分≥4分和低于4分的稳定型精神分裂症患者中未发现.在实施逻辑回归数据分析后,研究发现,与SARC-CalF评分小于11的患者相比,SARC-CalF评分大于或等于11的患者发生肺炎的风险显著增加(OR=2.441,95%CI:1.367~4.36).在调整了可能的混杂因素后,SARC-CalF评分≥11分的患者有更大的肺炎危险(OR=2.518,95CI:1.36~4.665).因此,研究发现,与SACR-F+EBM评分<12(OR=2.273,95CI:1.304-3.961)相比,SACR-F+EBM评分≥12的个体更容易获得肺炎(OR=2.273,95CI:1.304-3.961).这项研究的结果,控制潜在的混杂因素,SARC-F+EBM评分≥12分的患者更倾向于获得肺炎(OR=2.181,95CI:1.182~4.026).然而,在SARC-F评分≥4和<4的稳定期精神分裂症患者中,本研究尚未观察到类似的肺炎风险模式.
    这些结果表明,在患有精神分裂症的稳定成年人中,肺炎风险与SARC-F+EBM和SARC-CalF评分之间的关系。是的,因此,建议使用这些评分来确定这些患者是否患有肺炎,尤其是在无法诊断肌少症的医院.
    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.
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  • 文章类型: Journal Article
    目的:亚洲肌肉减少症工作组建议使用SARC-F等简单的筛查工具早期识别有肌肉减少症风险的人。修改版本SARC-F+EBM显示出更高的诊断性能。然而,这一体重指数(BMI)的临界值在中国人群中的应用仍不确定.在这项研究中,我们使用了适合中国老年人群的BMI,并结合小腿围进一步修正了SARC-F+EBM.
    方法:进行了诊断测试,并在SARC-F,SARC-F+EBM(BMI截止值:≤21kg/m2),SARC-F+EBM(CN)(BMI截止值:≤22kg/m2),来自中国的1660名年龄≥65岁的社区居民参与者的SARC-CalF和SARC-CalFEBM(CN)(BMI截止值:≤22kg/m2)。
    结果:参与者的平均年龄为71.7±5.1岁,其中56.8%是女性。所有修改的模型都可以增强原始SARC-F的受试者工作特征曲线(AUC)下的面积(所有p<0.001)。与SARC-F+EBM相比,SARC-F+EBM(CN)还显示出47.4%(p<0.001)的显著更高的灵敏度和0.809(p=0.005)的AUC。SARC-CalF+EBM(CN)被证实在这些少肌症筛查工具中具有最高AUC0.88的巨大诊断价值,包括SARC-F,SARC-CalF和SARC-F+EBM(CN)(所有p<0.001)。以本研究人群为参考,SARC-CalF+EBM(CN)的最佳截止值≥12点,敏感性为79.3%,特异性为80.7%。
    结论:SARC-F+EBM(CN)和SARC-CalF+EBM(CN)可以提高SARC-F和SARC-F+EBM的诊断性能,是适合中国人群的肌肉减少症筛查工具。
    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.
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  • 文章类型: Journal Article
    目的:本分析的目的是确定Ishii试验的诊断效能,SarSA-Mod,SARC-F,SARC-Calf,SARC-F+AC,和SARC-Calf+AC在农村社区居住的老年人中筛查肌肉减少症。
    方法:AWGS2019诊断标准是肌少症的诊断参考。有六种筛选工具,其准确性是通过使用度量来确定的,包括特异性,灵敏度,阴性和阳性预测值,和接收器工作特性(ROC)曲线。
    结果:该研究包括551名参与者(304名女性,年龄70.9±4.9岁)。男性肌肉减少症患病率为44.5%,女性为39.1%。在男性中,Ishii测试的敏感性/特异性,SarSA-Mod,SARC-F,SARC-Calf,SARC-F+AC,SARC-Calf+AC筛查肌少症占87.3%/65.7%,98.2%/21.9%,6.4%/98.5%,28.2%/91.2%,33.6%/83.9%,和84.6%/43.8%,在女性中,分别为68.1%/82.2%,100%/23.2%,16.0%/90.3%,35.3%/84.3%,58.8%/61.1%,和89.9%/42.2%,分别。在男性中,石井试验曲线下的面积,SarSA-Mod,SARC-F,SARC-Calf,SARC-F+AC,SARC-Calf+AC为0.846(95%CI0.795-0.889),0.800(95%CI0.745-0.848),0.581(95%CI0.516-0.643),0.706(95%CI0.645-0.762),0.612(95%CI0.548-0.673),和0.707(95%CI0.646-0.763),分别,在女性中,它们是0.824(95%CI0.776-0.865),0.845(95%CI0.799-0.883),0.581(95%CI0.524-0.637),0.720(95%CI0.666-0.770),0.632(95%CI0.575-0.686),和0.715(95%CI0.661-0.765),分别。
    结论:我们的研究结果表明,在农村社区老年人中,Ishii测试的总体准确性在六种筛查工具中最好。
    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.
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  • 文章类型: Multicenter Study
    背景:肌少症与慢性肾脏病(CKD)患者的不良结局有关,尤其是那些接受血液透析(HD)的患者。然而,肌少症阶段的轨迹,他们的决定因素,与不良临床结局的关联尚待全面检查.
    方法:SARC-HD是一个多中心,观察性前瞻性队列研究旨在全面调查HD患者的肌少症。合格标准包括接受HD≥3个月的成年患者。主要目的是研究肌肉减少症阶段的轨迹及其潜在决定因素。次要目标包括评估肌肉减少症与不良临床结果之间的关联(即,falls,住院治疗,和死亡率)。将通过SARC-F和SARC-CalF问卷评估肌肉减少症风险。肌肉减少症性状(即,肌肉力量低,肌肉质量低,和低身体表现)将根据修订的欧洲老年人肌肉减少症工作组进行定义,并将在基线和12个月随访后进行评估。患者将在24个月内对不良临床结果进行3个月间隔的随访。
    结论:总的来说,我们希望为肾脏病学的医疗保健专业人员提供相关的临床发现,以了解肌少症筛查工具之间的关联(即,SARC-F和SARC-CalF)具有客观的肌少症测量,以及研究肌肉减少症阶段轨迹的预测因素,以及肌肉减少对不良临床结局的影响。因此,我们的目标是,从SARC-HD研究中获得的数据将提供新的和有价值的证据,以支持对HD患者进行充分的肌少症筛查和治疗.
    Sarcopenia has been associated with adverse outcomes in patients with chronic kidney disease (CKD), particularly in those undergoing hemodialysis (HD). However, the trajectories across sarcopenia stages, their determinants, and associations with adverse clinical outcomes have yet to be comprehensively examined.
    The SARC-HD is a multicenter, observational prospective cohort study designed to comprehensively investigate sarcopenia in patients on HD. Eligibility criteria include adult patients undergoing HD for ≥ 3 months. The primary objective is to investigate the trajectories of sarcopenia stages and their potential determinants. Secondary objectives include evaluating the association between sarcopenia and adverse clinical outcomes (i.e., falls, hospitalization, and mortality). Sarcopenia risk will be assessed by the SARC-F and SARC-CalF questionnaire. Sarcopenia traits (i.e., low muscle strength, low muscle mass, and low physical performance) will be defined according to the revised European Working Group on Sarcopenia in Older People and will be assessed at baseline and after 12 follow-up months. Patients will be followed-up at 3 monthly intervals for adverse clinical outcomes during 24 months.
    Collectively, we expect to provide relevant clinical findings for healthcare professionals from nephrology on the association between sarcopenia screening tools (i.e., SARC-F and SARC-CalF) with objective sarcopenia measurements, as well as to investigate predictors of trajectories across sarcopenia stages, and the impact of sarcopenia on adverse clinical outcomes. Hence, our ambition is that the data acquired from SARC-HD study will provide novel and valuable evidence to support an adequate screening and management of sarcopenia in patients on HD.
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  • 文章类型: Journal Article
    研究5组分SARC-F问卷在慢性肾脏病(CKD)患者中筛查少肌症的有效性。
    符合条件的参与者来自肾内科,瑞金医院,上海交通大学医学院,2019年3月至2019年11月。使用自给的SARC-F问卷进行评估。肌肉减少症被诊断为握力,椅子站立测试和四肢骨骼肌质量。通过步态速度评估肌肉减少症的严重程度。我们计算了SARC-F的敏感性和特异性来评估构建体的有效性。此外,采用受试者工作特征(ROC)曲线分析,确定非透析依赖性(NDD)CKD患者和维持性血液透析(MHD)患者的分界值.
    共纳入105例NDD-CKD患者和125例MHD患者,肌少症的患病率为5.7%和31.2%,分别。其中,有21例(16.8%)MHD患者合并重度少肌症,无NDD-CKD患者合并重度少肌症。SARC-F对NDD-CKD患者的敏感性和特异性分别为16.7%和98.0%,MHD患者为48.7%和89.5%,分别。对于NDD-CKD患者,总SARC-F评分的受试者工作特征曲线下面积(AUROC)为0.978(95%置信区间(CI):0.929-0.997,p<0.001),1的截止值达到最高Youden指数0.950,最大ROC曲线面积为0.974。对于MHD患者,总SARC-F评分的AUROC为0.730(95%CI:0.644-0.806,p<0.001),截止值4达到最高Youden指数0.383和最大ROC曲线面积0.691。
    CKD患者,尤其是MHD患者,患有肌肉减少症的风险很高。SARC-F在CKD患者中筛查少肌症具有低到中等的敏感性,但特异性很高。在NDD-CKD和MHD患者中,筛选少肌症的SARC-F评分的最佳临界值不同。
    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.
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  • 文章类型: Journal Article
    本研究旨在比较SARC-F(强度,帮助步行,从椅子上站起来,爬楼梯,andfalls),SARC-小腿(SARC-F结合小腿周长),CC(小腿周长),和Yubi-wakka(指环)测试用于筛查社区居住的老年人的肌肉减少症。使用亚洲工作组(AWGS)2019标准作为标准参考。共纳入209名参与者,40.7%被鉴定为肌肉减少症。敏感性,特异性,AUC分别为54.1%,70.2%,SARC-F为0.687;76.5%,SARC小牛的73.4%和0.832,86.7%,82.4%,男性CC为0.906,85.5%,63.3%,女性CC为0.877。相对于“更大”,观察到肌肉减少症与Yubi-wakka检验之间存在显着关联(“刚好适合”OR:4.1,95%CI:1.57-10.98;“小”OR:27.5,95%CI:10.14-74.55)。CC的总体准确性优于SARC-Calf用于肌肉减少症筛查。
    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.
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  • 文章类型: Journal Article
    目的:我们的目的是评估SARC-F和SARC-CalF评分作为60岁以上成人因Calao中央海军(CEMENA)癌症死亡的危险因素的作用。秘鲁2012-2015年。
    方法:我们对2012年9月至2013年2月在CEMENA老年病科进行的前瞻性队列数据进行了二次分析。结果变量是随访两年时的死亡率,而暴露变量是使用SARC-F和SARC-CalF量表评估的肌肉减少症风险。我们进行了Cox比例风险模型,以评估SARC-F和SARC-CalF评分作为死亡危险因素的作用。我们用各自的95%置信区间(95CI)估计了粗(cHR)和校正(aHR)风险比(HR)。同样,我们计算了两个暴露变量与死亡率相关的曲线下面积(AUC).
    结果:我们分析了922名老年男性癌症患者的数据;43.1%(n=397)的患者年龄在60至70岁之间。根据SARC-F和SARC-CalF,21.5%(n=198)和45.7%(n=421)有肌肉减少症的风险,分别,而死亡率为22.9%(n=211)。在调整后的Cox回归模型中,我们发现,通过SARC-F(aHR=2.51;95CI:1.40~2.77)和SARC-CalF(aHR=2.04;95CI:1.55~4.02)测量的肌肉减少症风险与老年男性癌症患者的死亡风险较高相关.在诊断性能分析中,我们发现SARC-F死亡率预测的AUC为0.71(95CI:0.68-0.75),SARC-CalF为0.80(95CI:0.78-0.82).
    结论:通过SARC-F和SARC-CalF评分评估的肌肉减少症风险与老年男性癌症患者死亡风险增加相关。事实证明,这两种量表都是识别有死亡风险的群体的有用和可获取的工具。
    We aimed to evaluate the role of SARC-F and SARC-CalF scores as risk factors for mortality in adults over 60 years of age with cancer of the Centro Médico Naval (CEMENA) in Callao, Peru during 2012-2015.
    We performed a secondary analysis of data from a prospective cohort carried out from September 2012 to February 2013 in the Geriatrics Department of CEMENA. The outcome variable was mortality at two years of follow-up, while the exposure variable was the risk of sarcopenia assessed using the SARC-F and SARC-CalF scales. We carried out Cox proportional-hazards models to assess the role of SARC-F and SARC-CalF scores as risk factors for mortality. We estimated crude (cHR) and adjusted (aHR) hazard ratios (HR) with their respective 95% confidence intervals (95%CI). Likewise, we calculated the area under the curve (AUC) of both exposure variables in relation to mortality.
    We analyzed data from 922 elderly men with cancer; 43.1% (n=397) were between 60 and 70 years old. 21.5% (n=198) and 45.7% (n=421) were at risk of sarcopenia according to SARC-F and SARC-CalF, respectively, while the incidence of mortality was 22.9% (n=211). In the adjusted Cox regression model, we found that the risk of sarcopenia measured by SARC-F (aHR=2.51; 95%CI: 1.40-2.77) and SARC-CalF (aHR=2.04; 95%CI: 1.55-4.02) was associated with a higher risk of death in older men with cancer. In the diagnostic performance analysis, we found that the AUC for mortality prediction was 0.71 (95%CI: 0.68-0.75) for SARC-F and 0.80 (95%CI: 0.78-0.82) for SARC-CalF.
    The risk of sarcopenia evaluated by SARC-F and SARC-CalF scores was associated with an increased risk of mortality in older men with cancer. Both scales proved to be useful and accessible instruments for the identification of groups at risk of mortality.
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  • 文章类型: Journal Article
    诊断肌肉减少症具有挑战性。这项多中心横断面研究旨在评估SARC-F评分系统在慢性肝病(CLD)患者中识别肌肉减少症的实用性。我们招募了来自五个参与中心的717名患者,他们在2019年11月至2021年3月期间完成了SARC-F。根据日本肝病学会肝病中的肌肉减少症工作组共识诊断出肌肉减少症。肌肉力量是用握力计来估计的,使用计算机断层扫描或生物电阻抗分析评估肌肉质量。使用逻辑回归模型分析SARC-F与肌肉减少症之间的关联。使用受试者工作特征(ROC)曲线分析确定用于识别肌肉减少症的最佳SARC-F截止值。在676名符合条件的患者中,15%被诊断为肌肉减少症。63%的患者的SARC-F分布为0分,17%中的1分,7%中的2个百分点,4%中的3个百分点,8%≥4分。“强度”的SARC-F项目(赔率比(OR),1.98;95%置信区间(CI),1.03-3.80)和“瀑布”(或,2.44;95%CI,1.48-4.03)与肌肉减少症显著相关。1点的SARC-F值显示出比常规使用的4点更高的辨别能力(p<0.001),ROC曲线下面积为0.68,敏感性为0.65,特异性为0.68,阳性预测值为0.27,阴性预测值为0.92。SARC-F可用于识别有肌肉减少症风险的CLD患者。
    Diagnosing sarcopenia is challenging. This multicenter cross-sectional study aimed to evaluate the utility of the SARC-F score system for identifying sarcopenia in patients with chronic liver disease (CLD). We enrolled 717 patients from five participating centers who completed the SARC-F between November 2019 and March 2021. Sarcopenia was diagnosed based on the Japan Society of Hepatology Working Group on Sarcopenia in Liver Disease Consensus. Muscle strength was estimated using a grip dynamometer, and muscle mass was assessed using computed tomography or bioelectrical impedance analysis. The association between SARC-F and sarcopenia was analyzed using a logistic regression model. The optimal SARC-F cutoff value for identifying sarcopenia was determined using receiver operating characteristic (ROC) curve analysis. Of the 676 eligible patients, 15% were diagnosed with sarcopenia. The SARC-F distribution was 0 points in 63% of patients, 1 point in 17%, 2 points in 7%, 3 points in 4%, and ≥4 points in 8%. The SARC-F items of \"Strength\" (odds ratio (OR), 1.98; 95% confidence interval (CI), 1.03-3.80) and \"Falls\" (OR, 2.44; 95% CI, 1.48-4.03) were significantly associated with sarcopenia. The SARC-F value of 1 point showed a higher discriminative ability for identifying sarcopenia than the 4 points that are conventionally used (p < 0.001), with an area under the ROC curve of 0.68, sensitivity of 0.65, specificity of 0.68, positive predictive value of 0.27, and negative predictive value of 0.92. SARC-F is useful for identifying patients with CLD who are at risk of sarcopenia.
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  • 文章类型: Journal Article
    自COVID-19爆发以来,有记录表明,老年和基础疾病与COVID-19患者的预后不良有关。然而,尚不清楚是否肌少症,一种常见的老年综合征,与老年COVID-19患者的不良预后相关。我们的前瞻性队列研究的目的是调查年龄≥60岁的COVID-19患者中肌肉减少症风险与严重疾病之间的关系。
    一项对2月7日期间确诊COVID-19肺炎的114名住院老年患者(≥60岁)进行的前瞻性队列研究,2020年4月6日,2020年。流行病学,社会人口统计学,从电子病历中提取入院的临床和实验室数据以及结局数据.使用SARC-F量表评估所有患者入院时的肌肉减少症,结果是60天内严重疾病的发展。我们使用Cox比例风险模型来确定肌肉减少症与疾病进展之间的关联,该疾病定义为总共2908人天的严重病例。
    114名患者(平均年龄69.52±7.25岁,50%女性),38(33%)的肌肉减少症风险很高,而76(67%)的没有。我们发现43(38%)患者进展为严重病例。患有较高风险肌肉减少症的COVID-19患者比没有的患者更容易患上严重疾病(68%对22%,p<0.001)。调整人口统计学和临床因素后,较高风险的肌少症与较高的严重疾病风险相关[风险比=2.87(95%CI,1.33-6.16)].
    我们发现,具有较高的肌肉减少风险的COVID-19患者更有可能发展为严重的疾病。临床医生友好的肌肉减少症评估可能有助于早期预警患有严重COVID-19肺炎的高危老年患者。
    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.
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  • 文章类型: Journal Article
    调查住院老年患者肌肉减少症的风险,并评估肌肉减少症风险与包括依赖性在内的医疗保健结果之间的关联。营养不良,和吞咽困难.
    这项多中心横断面研究是土耳其年度国家护理质量患病率测量(LPZ)的一部分。65岁及以上的住院患者被纳入研究。SARC-F用于评估少肌症的风险。根据护理依赖量表(CDS)评估依赖程度。根据营养不良通用筛查工具(MUST)确定营养状况。吞咽困难通过两个结构化问题进行筛选。
    共492例患者纳入分析。240名患者(48.8%)存在肌肉减少症的风险。肌肉减少症的风险在女性中更为普遍(p=0.007),具有肌肉减少症风险的患者年龄较大(p<0.001)。住院时间更长,营养不良和吞咽困难在有肌少症风险的患者中更普遍(均p<0.001)。所有营养干预措施大多适用于有肌少症风险的患者。在多变量分析中,高龄(OR:1.068,CI1.032-1.104,p<0.001),女性(OR:2.414,CI1.510-3.857,p<0.001),和依赖性(OR:5.022,CI2.922-8.632,p<0.001)与肌肉减少症风险独立相关。
    住院患者的肌肉减少症风险与不良预后相关。主要是老年女性患者有肌肉减少症的风险。重要的是在早期阶段认识到肌少症并防止其进展,在依赖性发展之前。SARC-F可能是筛查住院患者肌肉减少症风险的有用工具。
    To investigate the risk of sarcopenia in hospitalized older patients and to assess the associations between sarcopenia risk and health care outcomes including dependency, malnutrition, and dysphagia.
    This multicenter cross-sectional study was a part of the annual National Prevalence Measurement of Quality of Care (LPZ) in Turkey. Hospitalized patients age 65 and older were included in the study. The SARC-F was used to assess risk of sarcopenia. Dependency was appraised according to the Care Dependency Scale (CDS). Nutritional status was established with respect to the Malnutrition Universal Screening Tool (MUST). Dysphagia was screened by two structured questions.
    A total of 492 patients were included in the analysis. Two hundred and forty patients (48.8%) were at risk of sarcopenia. Sarcopenia risk was more prevalent among women (p = 0.007) and patients with risk of sarcopenia were older (p < 0.001). Hospital stay was longer and malnutrition and dysphagia were more prevalent in patients with sarcopenia risk than without (all p < 0.001). All nutritional interventions were applied mostly to patients with sarcopenia risk than without. In multivariate analysis, advanced age (OR: 1.068, CI 1.032-1.104, p < 0.001), female gender (OR: 2.414, CI 1.510-3.857, p < 0.001), and dependency (OR: 5.022, CI 2.922-8.632, p < 0.001) were independently associated with sarcopenia risk.
    Sarcopenia risk is related with unfavorable outcomes in hospitalized patients. Primarily older female patients are at risk for sarcopenia. It is important to recognize sarcopenia at an early stage and to prevent its progression, before dependency develops. The SARC-F may be a useful tool for screening sarcopenia risk in hospitalized patients.
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