Department of Endocrinology and Metabolic Diseases, Hebei Medical University, Shijiazhuang, Hebei, China.
Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.
Front Endocrinol (Lausanne). 2023 Feb 9;14:1083722. doi: 10.3389/fendo.2023.1083722. eCollection 2023.
To determine an alternative skeletal muscle index (a-SMI), easy diagnosis of sarcopenia in elderly patients with type 2 diabetes mellitus (T2DM).
This cross-sectional study included 223 inpatients with T2DM (100 males, age range 60-89; 123 females, age range 60-87). Screening for grip strength and gait speed, measuring SMI by dual-energy X-ray absorptiometry (d-SMI) for sarcopenia diagnosis, according to the Asian Working Group for Sarcopenia (AWGS) 2019 consensus. The a-SMI was established by binary logistic regression analysis with positive screening population. To assess the conformance of the new diagnostic approach with the AWGS 2019.
Sarcopenia was present in 36.3% of the study population. 59 had normal d-SMI and 81 had low d-SMI in screening patients with probable sarcopenia. In univariate analyses for all positive screening population, body mass index (BMI), 25-hydroxyvitamin D (25 - (OH) VitD), high density lipoprotein cholesterol (HDL-C), hypertension (HTN), and gender were correlates of d-SMI. Binary logistic regression analysis revealed that male ( = 2.463, 95%: 3.640 ~ 37.883, = 0.000), HTN ( = 1.404, 95%: 1.599 ~ 10.371, = 0.003), BMI ( = -0.344, 95%: 0.598 ~ 0.839, = 0.000), 25-(OH) VitD ( = -0.058, 95%: 0.907 ~ 0.982, = 0.004) were independent factors for d-SMI detection. Based on the extracted four correlates, the a-SMI was determined. The area under receiver operating characteristic (ROC) curve was 0.842, sensitivity and specificity for the new diagnostic approach were 84.0% and 84.5%. In a statistical measure of agreement between the AWGS 2019 and the new diagnostic approach, the kappa coefficient was 0.669 ( < 0.001).
The a-SMI - based on gender, obesity status, 25-(OH) VitD, and HTN history - can be used in the absence of the d-SMI to supplement the algorithm for sarcopenia diagnosis in elderly patients with T2DM.
确定一种替代骨骼肌指数(a-SMI),以便在患有 2 型糖尿病(T2DM)的老年患者中易于诊断肌少症。
这项横断面研究纳入了 223 名 T2DM 住院患者(男性 100 例,年龄 60-89 岁;女性 123 例,年龄 60-87 岁)。根据亚洲肌少症工作组(AWGS)2019 共识,通过握力和步态速度筛查,通过双能 X 线吸收法(d-SMI)测量骨骼肌指数来诊断肌少症。通过二元逻辑回归分析建立 a-SMI,阳性筛查人群。评估新诊断方法与 AWGS 2019 的一致性。
研究人群中肌少症的患病率为 36.3%。在可能患有肌少症的筛查患者中,59 例 d-SMI 正常,81 例 d-SMI 较低。在所有阳性筛查人群的单因素分析中,体质量指数(BMI)、25-羟维生素 D(25-(OH)VitD)、高密度脂蛋白胆固醇(HDL-C)、高血压(HTN)和性别与 d-SMI 相关。二元逻辑回归分析显示,男性( = 2.463,95%:3.64037.883, = 0.000)、HTN( = 1.404,95%:1.59910.371, = 0.003)、BMI( = -0.344,95%:0.5980.839, = 0.000)、25-(OH)VitD( = -0.058,95%:0.9070.982, = 0.004)是 d-SMI 的独立影响因素。基于提取的四个相关因素,确定了 a-SMI。受试者工作特征(ROC)曲线下面积为 0.842,新诊断方法的灵敏度和特异度分别为 84.0%和 84.5%。在 AWGS 2019 与新诊断方法之间的统计学一致性测量中,kappa 系数为 0.669(<0.001)。
基于性别、肥胖状况、25-(OH)VitD 和 HTN 病史的 a-SMI 可用于缺乏 d-SMI 的情况下,补充老年 T2DM 患者肌少症诊断的算法。