Compagnone Domenico, Cecchinato Riccardo, Pezzi Andrea, Langella Francesco, Damilano Marco, Vanni Daniele, Redaelli Andrea, Lamartina Claudio, Berjano Pedro
Department of GSpine 4, IRCCS Ospedale Galeazzi-Sant'Ambrogio, Milan, Italy.
Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Global Spine J. 2025 Mar 20:21925682251328285. doi: 10.1177/21925682251328285.
Study DesignRetrospective Cohort Study.ObjectivesTo assess long-term alignment descriptors correlating with mechanical complications.MethodsThe study included adult spinal deformity cases older than 18, with a minimum of four instrumented levels and a 5-year follow-up. Exclusions: previous spinal fusion, neuromuscular/rheumatic diseases, active infections, tumors, or incomplete radiographic exams. Collected data: demographic, surgical, pre- and post-operative spinopelvic parameters, and post-operative complications. The GAP score, original Roussouly type restoration, Schwab's criteria, and Odontoid to hip axis angle were evaluated using machine learning and logistic regression. Complications were evaluated with a Kaplan-Meier curve.ResultsTwo hundred and twelve patients fulfilled the inclusion and exclusion criteria and were enrolled in the study. The observed rate of revision surgery for mechanical complications was 40.6% (86 out of 212 patients). Higher post-operative GAP scores were associated with increased risks of revision for junctional failure (AUC = 0.72 [IC 95%] 0.62-0.80). The inability to restore the original Roussouly spinal shape was statistically associated with higher mechanical failure rates. A machine-learning approach and subsequent logistic regression found that the GAP score and original Roussouly type restoration are the most important predictors for mechanical failure, and GAP score lordosis distribution index and relative pelvic version are the most important factors to predict the risk of mechanical failure.ConclusionsIn our series, a proper post-operative GAP Score and the restoration of the original Roussouly type significantly minimize mechanical complication rates. We observed that junctional failure tends to occur earlier among complications, while implant failure occurs later in the follow-up.
研究设计
回顾性队列研究。
目的
评估与机械并发症相关的长期对线描述指标。
方法
该研究纳入了年龄超过18岁的成人脊柱畸形病例,至少有四个置入器械的节段,并进行了5年的随访。排除标准:既往脊柱融合手术史、神经肌肉/风湿性疾病、活动性感染、肿瘤或影像学检查不完整。收集的数据包括:人口统计学资料、手术情况、术前和术后的脊柱骨盆参数以及术后并发症。使用机器学习和逻辑回归评估GAP评分、原始鲁苏利分型恢复情况、施瓦布标准以及齿突至髋关节轴角。采用Kaplan-Meier曲线评估并发症情况。
结果
212例患者符合纳入和排除标准并纳入研究。机械并发症的翻修手术观察发生率为40.6%(212例患者中的86例)。术后较高的GAP评分与交界性失败翻修风险增加相关(AUC = 0.72 [95%置信区间] 0.62 - 0.80)。无法恢复原始鲁苏利脊柱形态在统计学上与较高的机械故障率相关。机器学习方法及后续逻辑回归发现,GAP评分和原始鲁苏利分型恢复情况是机械故障最重要的预测指标,GAP评分腰椎前凸分布指数和相对骨盆矢状面是预测机械故障风险的最重要因素。
结论
在我们的系列研究中,合适的术后GAP评分和原始鲁苏利分型的恢复可显著降低机械并发症发生率。我们观察到,在并发症中交界性失败往往较早发生,而植入物失败在随访后期出现。