Yu Weibo, Zhang Haiyan, Yao Zhensong, Zhong Yuanming, Jiang Xiaobing, Cai Daozhang
Department of Orthopaedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Pain Med. 2023 Aug 1;24(8):949-956. doi: 10.1093/pm/pnad044.
Second fractures at the cemented vertebrae (SFCV) are often seen after percutaneous kyphoplasty, especially at the thoracolumbar junction. Our study aimed to develop and validate a preoperative clinical prediction model for predicting SFCV.
A cohort of 224 patients with single-level thoracolumbar osteoporotic vertebral fractures (T11-L2) from 3 medical centers was analyzed between January 2017 and June 2020 to derive a preoperative clinical prediction model for SFCV. Backward-stepwise selection was used to select preoperative predictors. We assigned a score to each selected variable and developed the SFCV scoring system. Internal validation and calibration were conducted for the SFCV score.
Among the 224 patients included, 58 had postoperative SFCV (25.9%). The following preoperative measures on multivariable analysis were summarized in the 5-point SFCV score: bone mineral density (≤-3.05), serum 25-hydroxy vitamin D3 (≤17.55 ng/mL), standardized signal intensity of fractured vertebra on T1-weighted images (≤59.52%), C7-S1 sagittal vertical axis (≥3.25 cm), and intravertebral cleft. Internal validation showed a corrected area under the curve of 0.794. A cutoff of ≤1 point was chosen to classify a low risk of SFCV, for which only 6 of 100 patients (6%) had SFCV. A cutoff of ≥4 points was chosen to classify a high risk of SFCV, for which 28 of 41 (68.3%) had SFCV.
The SFCV score was found to be a simple preoperative method for identification of patients at low and high risk of postoperative SFCV. This model could be applied to individual patients and aid in the decision-making before percutaneous kyphoplasty.
经皮椎体后凸成形术后常可见骨水泥强化椎体的二次骨折(SFCV),尤其是在胸腰段交界处。本研究旨在建立并验证一种预测SFCV的术前临床预测模型。
分析2017年1月至2020年6月期间来自3个医学中心的224例单节段胸腰椎骨质疏松性椎体骨折(T11-L2)患者,以建立SFCV的术前临床预测模型。采用向后逐步选择法选择术前预测指标。我们为每个选定变量赋予一个分数,并建立了SFCV评分系统。对SFCV评分进行内部验证和校准。
在纳入的224例患者中,58例发生术后SFCV(25.9%)。多变量分析中以下术前指标被纳入5分制的SFCV评分:骨密度(≤-3.05)、血清25-羟基维生素D3(≤17.55 ng/mL)、T1加权图像上骨折椎体的标准化信号强度(≤59.52%)、C7-S1矢状垂直轴(≥3.25 cm)和椎体内裂隙。内部验证显示曲线下校正面积为0.794。选择≤1分作为低SFCV风险的截断值,100例患者中只有6例(6%)发生SFCV。选择≥4分作为高SFCV风险的截断值,41例患者中有28例(68.3%)发生SFCV。
SFCV评分是一种简单的术前方法,可用于识别术后发生SFCV的低风险和高风险患者。该模型可应用于个体患者,有助于经皮椎体后凸成形术前的决策制定。