Department of Spine Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, People's Republic of China.
Department of Spine Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Eur Spine J. 2021 Nov;30(11):3191-3199. doi: 10.1007/s00586-021-06947-5. Epub 2021 Jul 31.
Previous studies only investigated the simple linear relationships of global tilt (GT) with thoracic kyphosis (TK), lumbar lordosis (LL) and pelvic incidence (PI). This study aimed to establish multiple linear regressions of GT based on individual TK, LL and PI in patients with degenerative spines.
Four hundred sixty-nine adult patients aged older than 35 years with various degenerative spinal diseases were enrolled in this two-centre study between January 2017 and December 2020. Full-spine X-rays were performed for all the subjects in a standing position. The following regional and global parameters were measured in the sagittal plane: TK, LL, PI, pelvic tilt (PT), sagittal vertical axis (SVA) and GT. The correlations of the GT, PT and SVA with the TK, LL and PI were analysed, and then multiple linear regressions were constructed.
GT was statistically correlated with TK, LL and PI. Additionally, TK, LL and PI were significant predictors for the GT, PT and SVA models. The relevant predictive formulae were as follows: GT = -9.60 + 1.09PI + 0.89LL + 0.42TK (R = 0.935), PT = -4.49 + 0.81PI + 0.56LL + 0.24TK (R = 0.792) and SVA = -25.68 + 2.98LL + 2.37PI + 1.67*TK (R = 0.416).
The specific sagittal spinopelvic morphology, evaluated by GT parameters, should be determined by individual TK, LL and PI values in the degenerative spine. Surgeons can utilize such predictive models to better understand the degenerative evolution of sagittal alignment and recognize the relationships between regional parameters and global sagittal alignment to customize a precise correction strategy.
之前的研究仅调查了全局倾斜(GT)与胸腰椎后凸(TK)、腰椎前凸(LL)和骨盆入射角(PI)之间的简单线性关系。本研究旨在建立基于退行性脊柱患者个体 TK、LL 和 PI 的 GT 多元线性回归。
本研究纳入了 2017 年 1 月至 2020 年 12 月期间在两个中心接受治疗的 469 名年龄大于 35 岁的各种退行性脊柱疾病成年患者。所有患者均在站立位进行全脊柱 X 线检查。在矢状面上测量以下区域和全局参数:TK、LL、PI、骨盆倾斜角(PT)、矢状垂直轴(SVA)和 GT。分析 GT、PT 和 SVA 与 TK、LL 和 PI 的相关性,并构建多元线性回归。
GT 与 TK、LL 和 PI 具有统计学相关性。此外,TK、LL 和 PI 是 GT、PT 和 SVA 模型的显著预测因子。相关预测公式如下:GT=-9.60+1.09PI+0.89LL+0.42TK(R=0.935),PT=-4.49+0.81PI+0.56LL+0.24TK(R=0.792)和 SVA=-25.68+2.98LL+2.37PI+1.67*TK(R=0.416)。
在退行性脊柱中,GT 参数评估的特定矢状位脊柱骨盆形态应由个体 TK、LL 和 PI 值确定。外科医生可以利用这些预测模型更好地了解矢状位排列的退行性演变,并认识到区域参数与整体矢状位排列之间的关系,从而制定精确的矫正策略。