Wang Jianqiang, Hai Yong, Geng Haoshuang, Li Zhangfu, Liu Yuzeng, Zhang Yangpu, Zhou Lijin
Department of Orthopedic Surgery, Beijing Chaoyang Hospital, Capital Medical University of China, 8 Gong Ti Nan Road, Chaoyang District, Beijing, 100020, China.
Clinical Center for Spinal Deformity, Capital Medical University of China, 8 Gong Ti Nan Road, Chaoyang District, Beijing, 100020, China.
J Orthop Surg Res. 2025 Jul 21;20(1):692. doi: 10.1186/s13018-025-06112-4.
This study aimed to identify risk factors for postoperative neurological complications in patients with post-tuberculosis kyphosis undergoing posterior corrective surgery and to develop a classification system for preoperative risk stratification.
We retrospectively analyzed 51 patients with post-tuberculosis kyphosis who underwent single-stage posterior osteotomy and correction at our institution. Radiographic parameters, including the kyphotic angle, cross-sectional area ratio of the spinal cord (CSAR), and spinal cord angle (SCA), alongside surgical factors such as intraoperative blood loss and osteotomy grade, were evaluated. Postoperative neurological complications were recorded. Univariate and multivariate logistic regression analyses were employed to identify potential influencing factors. Based on the interaction between these factors, a clinical classification system for post-tuberculosis kyphosis was established to stratify the risk of postoperative neurological complications.
A minimum 2-year follow-up was conducted for the 51 patients with post-tuberculosis kyphosis. Multivariate logistic regression analysis revealed that the Baltalimani sign, spinal cord MRI type, Rajasekaran classification, three-column osteotomy, C-reactive protein (CRP), and SCA were significant risk factors for postoperative neurological complications. Two risk prediction models were developed accordingly. Synergistic interactions were identified between spinal cord MRI type and Rajasekaran classification, as well as between CRP and SCA. These findings informed the development of two clinical classification systems: the Mechanical Classification (AUC = 0.751) and the Imaging-Biomarker Classification (AUC = 0.883). The area under the curve (AUC) for both classifications demonstrated good predictive performance, with the DeLong test indicating superior efficacy for the Imaging-Biomarker Classification (P = 0.039).
Spinal structural instability, spinal cord compression, osteotomy grade, and elevated CRP levels may all contribute to an increased risk of postoperative neurological complications in patients with post-tuberculosis kyphosis. The clinical classification systems established herein facilitate precise risk stratification, enabling targeted preoperative interventions to mitigate surgical risks and enhance surgical outcomes.
本研究旨在确定接受后路矫正手术的结核后凸畸形患者术后神经并发症的危险因素,并建立一种术前风险分层的分类系统。
我们回顾性分析了在我院接受单阶段后路截骨矫正术的51例结核后凸畸形患者。评估了影像学参数,包括后凸角、脊髓横截面积比(CSAR)和脊髓角(SCA),以及术中失血和截骨分级等手术因素。记录术后神经并发症。采用单因素和多因素逻辑回归分析来确定潜在影响因素。基于这些因素之间的相互作用,建立了结核后凸畸形的临床分类系统,以对术后神经并发症的风险进行分层。
对51例结核后凸畸形患者进行了至少2年的随访。多因素逻辑回归分析显示,巴尔塔利马尼征、脊髓MRI类型、拉贾塞卡兰分类、三柱截骨、C反应蛋白(CRP)和SCA是术后神经并发症的重要危险因素。据此建立了两个风险预测模型。确定了脊髓MRI类型与拉贾塞卡兰分类之间以及CRP与SCA之间的协同相互作用。这些发现为两个临床分类系统的建立提供了依据:机械分类(AUC = 0.751)和影像生物标志物分类(AUC = 0.883)。两种分类的曲线下面积(AUC)均显示出良好的预测性能,德龙检验表明影像生物标志物分类的疗效更佳(P = 0.039)。
脊柱结构不稳定、脊髓受压、截骨分级和CRP水平升高均可能导致结核后凸畸形患者术后神经并发症风险增加。本文建立的临床分类系统有助于精确的风险分层,使术前有针对性地进行干预,以降低手术风险并提高手术效果。