Kudo Daisuke, Miyakoshi Naohisa, Hongo Michio, Kasukawa Yuji, Ishikawa Yoshinori, Mizutani Takashi, Mizutani Yoichi, Shimada Yoichi
Department of Orthopedic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Joto Orthopedic Clinic, 6-7-6 Higashi-dori, Akita, 010-0003, Japan.
Osteoporos Sarcopenia. 2021 Mar;7(1):36-41. doi: 10.1016/j.afos.2021.02.003. Epub 2021 Mar 4.
Progressive and generalized loss of skeletal muscle mass (SMM) and strength are characteristics of sarcopenia. However, the impact of appendicular and trunk SMM and back extensor strength (BES) on spinal sagittal alignment remains unclear. Herein, we investigate the relationship between these factors and spinal sagittal alignment.
In total, 202 women without vertebral fractures (median age, 66.9 years; interquartile range, 61.4-71.9 years) were analyzed at an orthopedic outpatient clinic. Pelvic incidence (PI), lumbar lordosis (LL), sagittal vertical axis (SVA), and pelvic tilt (PT) were measured on whole spine radiographs. Body mass index (BMI), appendicular and trunk relative SMM index, and BES were also evaluated. These measurements were compared between spinal sagittal alignment groups using the Mann-Whitney U test. Finally, the factors contributing to abnormal alignment were analyzed using multiple logistic regression analysis.
BES was significantly lower in all abnormal sagittal alignment groups, as defined by PI-LL (≥ 10°), SVA (≥4 cm), and PT (≥20°) (all P < 0.001). On multivariate analysis, BES was a contributing factor for abnormal PI-LL (P < 0.001), SVA (P = 0.001), and PT (P < 0.001). Conversely, a decrease in appendicular and trunk relative SMM index did not statistically affect abnormal spinal sagittal alignment.
BES was associated with changes in spinal sagittal alignment; however, SMM, which is often used for diagnosing sarcopenia, did not affect spinal sagittal alignment.
骨骼肌质量(SMM)和力量进行性、全身性丧失是肌肉减少症的特征。然而,四肢和躯干SMM以及伸背肌力量(BES)对脊柱矢状面排列的影响尚不清楚。在此,我们研究这些因素与脊柱矢状面排列之间的关系。
在一家骨科门诊对总共202名无椎体骨折的女性(中位年龄66.9岁;四分位间距61.4 - 71.9岁)进行分析。在全脊柱X线片上测量骨盆入射角(PI)、腰椎前凸(LL)、矢状垂直轴(SVA)和骨盆倾斜度(PT)。还评估了体重指数(BMI)、四肢和躯干相对SMM指数以及BES。使用Mann-Whitney U检验比较脊柱矢状面排列组之间的这些测量值。最后,使用多因素逻辑回归分析分析导致排列异常的因素。
在所有由PI - LL(≥10°)、SVA(≥4 cm)和PT(≥20°)定义的矢状面排列异常组中,BES均显著降低(所有P < 0.001)。多因素分析显示,BES是PI - LL异常(P < 0.001)、SVA异常(P = 0.001)和PT异常(P < 0.001)的一个影响因素。相反,四肢和躯干相对SMM指数的降低对脊柱矢状面排列异常没有统计学影响。
BES与脊柱矢状面排列的变化相关;然而,常用于诊断肌肉减少症的SMM并未影响脊柱矢状面排列。