Michigan Medicine, Ann Arbor, MI, USA.
VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Sci Rep. 2024 Sep 18;14(1):21799. doi: 10.1038/s41598-024-71613-x.
Sarcopenia is the age-related loss of skeletal muscle mass and function. Computed tomography (CT) assessments of sarcopenia utilize measurements of skeletal muscle cross-sectional area (SMA), radiation attenuation (SMRA), and intramuscular adipose tissue (IMAT). Unadjusted SMA is strongly correlated with both height and body mass index (BMI); therefore, SMA must be adjusted for body size to assess sarcopenic low muscle mass fairly in individuals of different heights and BMI. SMA/height (rather than ) provides optimal height adjustment, and vertebra-specific relative muscle index (RMI) equations optimally adjust for both height and BMI. Since L3 measurement is not available in all CT scans, sarcopenic low muscle mass may be assessed using other levels. Both a mid-vertebral slice and an inferior slice have been used to define 'L3 SMA', but the effect of vertebral slice location on SMA measurements is unexplored. Healthy reference values for skeletal muscle measures at mid- and inferior vertebra slices between T10 and L5, have not yet been reported. We extracted T10 through L5 SMA, SMRA, and IMAT at a mid-vertebral and inferior slice using non-contrast-enhanced CT scans from healthy, adult kidney donor candidates between age 18 and 73. We compared paired differences in SMA between the mid-vertebral slice versus the inferior slice. We calculated the skeletal muscle gauge as . We used allometric analysis to find the optimal height scaling power for SMA. To enable comparisons with other published reference cohorts, we computed two height-adjusted measures; (optimal) and (traditional). Using the young, healthy reference cohort, we utilized multiple linear regression to calculate relative muscle index z-scores ( , ), which adjust for both height and BMI, at each vertebra level. We assessed Pearson correlations of each muscle area measure versus age, height, weight, and BMI separately by sex and vertebra number. We assessed the differences in means between age 18-40 versus 20-40 as the healthy, young adult reference group. We reported means, standard deviations, and sarcopenia cutpoints (mean-2SD and 5th percentile) by sex and age group for all measures. Sex-specific allometric analysis showed that height to the power of one was the optimal adjustment for SMA in both men and women at all vertebra levels. Differences between mid-vertebra and inferior slice SMA were statistically significant at each vertebra level, except for T10 in men. was uncorrelated with height, whereas was negatively correlated with height at all vertebra levels. Both and were positively correlated with BMI at all vertebra levels. was uncorrelated with BMI, weight, and height (minimal positive correlation in women at , , and ) whereas was uncorrelated with BMI, but negatively correlated with height and weight at all levels. There were no significant differences in SMA between 18-40 versus 20-40 age groups. Healthy reference values and sarcopenic cutpoints are reported stratified by sex, vertebra level, and age group for each measure. Height to the power of one (SMA/height) is the optimal height adjustment factor for SMA at all levels between through . The use of should be discontinued as it retains a significant negative correlation with height and is therefore biased towards identifying sarcopenia in taller individuals. Measurement of SMA at a mid-vertebral slice is significantly different from measurement of SMA at an inferior aspect slice. Reference values should be used for the appropriate slice. We report sarcopenic healthy reference values for skeletal muscle measures at the mid-vertebral and inferior aspect slice for T10 through L5 vertebra levels. Relative muscle index (RMI) equations developed here minimize correlation with both height and BMI, producing unbiased assessments of relative muscle mass across the full range of body sizes. We recommend the use of these RMI equations in other cohorts.
肌肉减少症是与年龄相关的骨骼肌质量和功能丧失。计算机断层扫描(CT)对肌肉减少症的评估利用骨骼肌横截面积(SMA)、辐射衰减(SMRA)和肌内脂肪组织(IMAT)的测量。未经调整的 SMA 与身高和体重指数(BMI)强烈相关;因此,必须对 SMA 进行身体大小调整,以公平地评估不同身高和 BMI 的个体的肌肉减少症低肌肉量。SMA/身高(而不是 )提供了最佳的身高调整,特定于椎骨的相对肌肉指数(RMI)方程最佳地调整了身高和 BMI。由于并非所有 CT 扫描都可测量 L3,因此可以使用其他水平来评估肌肉减少症低肌肉量。中脊椎切片和下脊椎切片都被用于定义“L3 SMA”,但椎骨切片位置对 SMA 测量的影响尚未得到探索。T10 和 L5 之间中脊椎和下脊椎的骨骼肌测量的健康参考值尚未报告。我们使用非对比增强 CT 扫描,从 18 至 73 岁的健康成年肾脏供体候选者中提取 T10 至 L5 的 SMA、SMRA 和 IMAT。我们比较了中脊椎切片与下脊椎切片之间 SMA 的配对差异。我们计算了骨骼肌计作为 . 我们使用比例分析来找到 SMA 的最佳身高缩放功率。为了能够与其他已发表的参考队列进行比较,我们计算了两种身高调整后的测量值; (最佳)和 (传统)。使用年轻的健康参考队列,我们利用多元线性回归计算了每个椎骨水平的相对肌肉指数 z 分数( , ),该分数同时调整了身高和 BMI。我们按性别和椎骨数量分别评估了每个肌肉面积测量值与年龄、身高、体重和 BMI 的 Pearson 相关性。我们评估了 18-40 岁和 20-40 岁之间年轻成年健康参考组的差异。我们报告了所有测量值的性别和年龄组的平均值、标准差和肌肉减少症切点(平均值-2SD 和第 5 百分位)。性别特异性比例分析表明,在所有椎骨水平,男性和女性 SMA 的最佳身高调整为身高的一次方。除了男性的 T10 之外,中脊椎和下脊椎 SMA 之间的差异在每个椎骨水平均具有统计学意义。 与身高无关,而 与所有椎骨水平的身高呈负相关。 和 与所有椎骨水平的 BMI 呈正相关。 与 BMI、体重和身高无关(女性在 、 和 中存在最小正相关),而 与 BMI 无关,但与所有水平的身高和体重呈负相关。18-40 岁与 20-40 岁年龄组之间的 SMA 无显著差异。按性别、椎骨水平和年龄组报告了每个测量值的健康参考值和肌肉减少症切点。在所有 T 至 水平,身高的一次方(SMA/身高)是 SMA 的最佳身高调整因子。应该停止使用 ,因为它与身高存在显著的负相关,因此偏向于识别较高的个体的肌肉减少症。中脊椎切片 SMA 的测量值与下脊椎切片 SMA 的测量值显著不同。应使用适当的切片来报告参考值。我们报告了 T10 至 L5 椎骨水平的中脊椎和下脊椎切片的骨骼肌测量的肌肉减少症健康参考值。这里开发的相对肌肉指数(RMI)方程最大限度地减少了与身高和 BMI 的相关性,在整个身体大小范围内产生了对相对肌肉量的无偏评估。我们建议在其他队列中使用这些 RMI 方程。