Department of Applied Math, National Chung Hsing University, Taichung, Taiwan.
Department of Orthopedics, China Medical University Hospital, Taichung, Taiwan.
PLoS One. 2023 Mar 30;18(3):e0275884. doi: 10.1371/journal.pone.0275884. eCollection 2023.
For the assessment of sarcopenia or other geriatric frailty syndromes, psoas major area may be one of the primary indicators. Aim to develop and cross-validate the psoas cross-sectional area estimation equation of L3-L4 of the elderly over 60 years old by bioelectrical impedance analysis (BIA). Ninety-two older adults with normal mobility were enrolled (47 females, 45 males), and were randomly divided into a modeling group (MG, n = 62) and validation group (VG, n = 30). Computed tomography (CT) was used to measure the psoas major area at the' L3-L4 lumbar vertebrae height as a predictor. Estimated variables were height (h), whole body impedance (Zwhole), whole body impedance index (h2/Zwhole, WBI), age, gender (female = 0, male = 1), and body weight (weight) by standing BIA. Relevant variables were estimated using stepwise regression analysis. Model performance was confirmed by cross-validation. BIA estimation equation for PMM obtained from the MG was: (PMMBIA = 0.183 h2/Z- 0.223 age + 4.443 gender + 5.727, r2 = 0.702, n = 62, SEE = 2.432 cm2, p < 0.001). The correlation coefficient r obtained by incorporating the VG data into the PMM equation was 0.846, and the LOA ranged from -4.55 to 4.75 cm2. PMMBIA and PMMCT both correlate highly with MG or VG with small LOA. The fast and convenient standing BIA for measuring PMM may be a promising method that is worth developing.
对于肌少症或其他老年虚弱综合征的评估，腰大肌横截面积可能是主要指标之一。目的是通过生物电阻抗分析（BIA）建立并交叉验证 60 岁以上老年人 L3-L4 节段腰大肌横截面积的估算方程。共纳入 92 例行动能力正常的老年人（女性 47 例，男性 45 例），并随机分为建模组（MG，n=62）和验证组（VG，n=30）。使用 CT 测量第 3-4 腰椎处的腰大肌横截面积作为预测指标。通过站立式 BIA 估计变量包括身高（h）、全身阻抗（Zwhole）、全身阻抗指数（h2/Zwhole，WBI）、年龄、性别（女性=0，男性=1）和体重（weight）。采用逐步回归分析估计相关变量。通过交叉验证确认模型性能。从 MG 获得的 PMM 估算方程为：（PMMBIA=0.183 h2/Z-0.223 年龄+4.443 性别+5.727，r2=0.702，n=62，SEE=2.432cm2，p<0.001）。将 VG 数据纳入 PMM 方程后得到的相关系数 r 为 0.846，LOA 范围为-4.55 至 4.75cm2。PMMBIA 和 PMMCT 与 MG 或 VG 均高度相关，LOA 较小。用于测量 PMM 的快速便捷的站立式 BIA 可能是一种很有前途的方法，值得进一步研究。
