Zhou Lijin, Geng Haoshuang, Wang Jianqiang, Yang Honghao, Hai Yong
Beijing Chao-Yang Hospital, Beijing, China.
Eur Spine J. 2025 Aug 25. doi: 10.1007/s00586-025-09283-0.
Halo-pelvic traction (HPT) is widely used for managing severe rigid scoliosis by enhancing surgical safety.However, complications such as atlantoaxial instability may occur during traction.This study aimed to identify the risk factors for atlantoaxial instability during HPT, assess whether instability is reversible after traction.Additionally, aradiographic criterion based on the lateral mass interval (LMI) was proposed to define this condition METHODS: A retrospective study was conducted on patients who underwent HPT followed by posterior spinal fusion between March 2014 and August 2022. Atlantoaxial alignment was assessed pre-traction, post-traction, and postoperatively using LMI. Patients were categorized into stable and unstable groups. Risk factors were identified through univariate and multivariable logistic regression analyses, and a nomogram was constructed based on the final predictive model.
Among fifty-nine patients, forty-five developed atlantoaxial instability during traction. All cases were radiographically reversible postoperatively. Multivariable analysis identified younger age (OR = 0.893, P = 0.005) and increased pelvic tilt (PT) (OR = 1.137, P = 0.048) as independent risk factors. The predictive model showed good discrimination (AUC = 0.817).
Atlantoaxial instability during HPT is transient and reversible. LMI is a reliable radiographic indicator for its assessment. Younger age and increased PT are significant predictors, and the proposed nomogram may aid in pre-traction risk stratification.
头盆牵引(HPT)通过提高手术安全性被广泛用于治疗严重僵硬性脊柱侧凸。然而,牵引过程中可能会出现诸如寰枢椎不稳等并发症。本研究旨在确定HPT期间寰枢椎不稳的危险因素,评估牵引后不稳是否可逆。此外,还提出了一种基于侧块间距(LMI)的影像学标准来定义这种情况。方法:对2014年3月至2022年8月期间接受HPT并随后进行后路脊柱融合的患者进行回顾性研究。使用LMI在牵引前、牵引后和术后评估寰枢椎对线情况。将患者分为稳定组和不稳定组。通过单因素和多因素逻辑回归分析确定危险因素,并根据最终预测模型构建列线图。
在59例患者中,45例在牵引期间出现寰枢椎不稳。所有病例术后影像学检查均显示可逆。多因素分析确定年龄较小(OR = 0.893,P = 0.005)和骨盆倾斜度(PT)增加(OR = 1.137,P = 0.048)为独立危险因素。预测模型显示出良好的区分度(AUC = 0.817)。
HPT期间的寰枢椎不稳是短暂且可逆的。LMI是评估其的可靠影像学指标。年龄较小和PT增加是重要的预测因素,所提出的列线图可能有助于牵引前的风险分层。