Wu Wenkai, Duan Fangfang, Liu Zhiguang, Yang Guihe, Li Chuqi, Wang Renxian, Cheng Xiaoguang, Hu Bo, Wang Ling, Liu Yajun
Department of Spine Surgery, Beijing Jishuitan Hospital, National Centre for Orthopaedics, Capital Medical University, No.31 Xinjiekou East Street, Xicheng District, Beijing, 100035, China.
JST sarcopenia Research Centre, Beijing Research Institute of Traumatology and Orthopaedics, National Center for Orthopaedics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
J Orthop Surg Res. 2025 Apr 10;20(1):365. doi: 10.1186/s13018-025-05737-9.
Decreased size and mass of paraspinal muscles are associated with lower vertebral bone mineral density, more postoperative complications, increased mortality, and spinal sagittal imbalance. However, it is difficult to determine muscle loss in older adults with overweight and obesity. This study aimed to investigate the effects of body mass index (BMI) and central obesity on paraspinal muscle aging and to determine cutoff values for low paraspinal muscle mass/quality in Chinese community populations.
In this nationwide cross-sectional study, abdominal CT scans and basic information were collected and analyzed from 4,305 community-dwelling adults from twelve representative cities in China between 2013 and 2017. Psoas and posterior paraspinal muscle index (PMI and PSMI) and density (PMD and PSMD) at the L3 level were measured using OsiriX software. Correlation analysis, multiple linear regression, and one-way ANOVA were performed for statistical analysis. Commonly used cutoff value calculations were applied to define low muscle index and density (Mean-2SD, 5th percentile in young people, and 20th percentile in older people) in the general population and individuals with different BMIs.
Correlation analysis showed that the paraspinal muscle index and density were primarily correlated with sex, BMI, and age. Multiple linear regression analysis indicated that the paraspinal muscle index (PSMI and PMI) was primarily influenced by sex (β=-0.391 and - 0.599, p < 0.001) and BMI (β = 0.442 and 0.371, p < 0.001), followed by age and waist circumference. In contrast, muscle density (PSMD and PMD) was mainly associated with sex (β=-0.405 and - 0.317, p < 0.001) and age (β=-0.409 and - 0.429, p < 0.001), with a slight influence from WC and BMI. Considering the significant effect of BMI on muscle mass, we calculated BMI-stratified cutoffs for PSMI (as 12.3/10.6, 15.0/11.7, and 15.2/11.9 cm/m in normal, overweight, and obese men/women using M-2SD), PMI (as 3.8/2.9, 5.0/3.4, and 4.9/3.9 cm/m in normal, overweight and obese men/women using M-2SD), and unstratified cutoffs for PSMD (as 36.3 and 31.1 HU in men and women) and PMD (as 40.1 and 36.9 HU in men and women).
This study found that sex and BMI were key determinants of paraspinal muscle mass, with BMI influencing paraspinal muscle number more than age. In contrast, muscle density was primarily influenced by sex and age. This study provided BMI-stratified and non-stratified cutoff values for low paraspinal muscle index and density, which aided in the identification of spinal sarcopenia in individuals with different BMIs.
椎旁肌尺寸减小和质量下降与较低的椎体骨密度、更多术后并发症、死亡率增加以及脊柱矢状面失衡相关。然而,在超重和肥胖的老年人中很难确定肌肉量的减少情况。本研究旨在探讨体重指数(BMI)和中心性肥胖对椎旁肌衰老的影响,并确定中国社区人群中低椎旁肌量/质量的截断值。
在这项全国性横断面研究中,收集并分析了2013年至2017年间来自中国十二个代表性城市的4305名社区居住成年人的腹部CT扫描结果和基本信息。使用OsiriX软件测量L3水平的腰大肌和椎旁后肌指数(PMI和PSMI)及密度(PMD和PSMD)。进行相关性分析、多元线性回归和单因素方差分析以进行统计分析。应用常用的截断值计算方法来定义一般人群以及不同BMI个体的低肌肉指数和密度(均值减2标准差、年轻人中的第5百分位数以及老年人中的第20百分位数)。
相关性分析表明,椎旁肌指数和密度主要与性别、BMI和年龄相关。多元线性回归分析表明,椎旁肌指数(PSMI和PMI)主要受性别(β=-0.391和-0.599,p<0.001)和BMI(β=0.442和0.371,p<0.001)影响,其次是年龄和腰围。相比之下,肌肉密度(PSMD和PMD)主要与性别(β=-0.405和-0.317,p<0.001)和年龄(β=-0.409和-0.429,p<0.001)相关,受腰围和BMI的影响较小。考虑到BMI对肌肉量的显著影响,我们计算了PSMI的BMI分层截断值(正常、超重和肥胖男性/女性分别为12.3/10.6、15.0/11.7和15.2/11.9 cm/m,使用均值减2标准差)、PMI的截断值(正常、超重和肥胖男性/女性分别为3.8/2.9、5.0/3.4和4.9/3.9 cm/m,使用均值减2标准差),以及PSMD和PMD的非分层截断值(男性和女性分别为36.3和31.1 HU以及40.1和36.9 HU)。
本研究发现性别和BMI是椎旁肌量的关键决定因素,其中BMI对椎旁肌量的影响大于年龄。相比之下,肌肉密度主要受性别和年龄影响。本研究提供了低椎旁肌指数和密度的BMI分层及非分层截断值,有助于识别不同BMI个体中的脊柱肌少症。