Zhong Dian, Wang Yang, Lin Lu, Cheng Si, Zhao Guo Sheng, Wang Li Yuan, Liu Yang, Ke Zhen Yong
Department of Spine Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of Spine Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
World Neurosurg. 2023 Nov;179:e348-e358. doi: 10.1016/j.wneu.2023.08.090. Epub 2023 Aug 25.
Accurately predicting the risk of lower extremity (LE) radiating pain after surgery is an important endeavor for spinal surgeons. Our study aimed to identify risk factors for LE radiating pain after decompression with full-endoscopic lumbar discectomy (FELD) and develop a nomogram.
We retrospectively reviewed the medical data of patients with lumbar disc herniation who underwent FELD. Two hundred thirty-five patients diagnosed at our hospital from January 2015 to December 2020 were used for model development. The independent risk factors for LE radiating pain after surgery were determined by least absolute shrinkage and selection operator logistic regression and multivariate logistic regression analysis. A nomogram was developed to predict the risk of LE radiating pain based on independent risk factors. Receiver operating characteristic curve, calibration curve, and decision curve analyses were used to evaluate the predictive performance. The nomogram was further verified by an independent cohort.
Three hundred seventy-five patients were enrolled in this study, with 102 patients in the training cohort reporting LE radiating pain after FELD, while 133 patients did not. In the validation cohort, 57 patients reported LE radiating pain after FELD, while 83 patients did not. The model was established by multivariate logistic regression analysis. The risk factors included a higher Michigan State University classification of herniated discs, increased disease course, increased time of surgery, reduced lateral recess width, and an interlaminar surgical approach, compared to transforaminal approach. The C-indices and the area under the receiver operating characteristic curve of the predictive model demonstrated good discrimination. Good predictive performance and accuracy were also observed in the validation cohort.
A novel nomogram for predicting recurrent LE radiating pain within 1 week after FELD was established and validated. More aggressive pain management strategies should be considered for patients at high risk of LE radiating pain after surgery, as predicted by this model.
准确预测手术后下肢(LE)放射性疼痛的风险是脊柱外科医生的一项重要工作。我们的研究旨在确定全内镜下腰椎间盘切除术(FELD)减压术后LE放射性疼痛的危险因素,并制定一个列线图。
我们回顾性分析了接受FELD的腰椎间盘突出症患者的医疗数据。2015年1月至2020年12月在我院确诊的235例患者用于模型开发。通过最小绝对收缩和选择算子逻辑回归及多变量逻辑回归分析确定术后LE放射性疼痛的独立危险因素。基于独立危险因素制定列线图以预测LE放射性疼痛的风险。采用受试者操作特征曲线、校准曲线和决策曲线分析来评估预测性能。该列线图通过一个独立队列进一步验证。
本研究共纳入375例患者,训练队列中有102例患者在FELD术后报告有LE放射性疼痛,而133例患者没有。在验证队列中,57例患者在FELD术后报告有LE放射性疼痛,而83例患者没有。通过多变量逻辑回归分析建立模型。危险因素包括密歇根州立大学椎间盘突出分类较高、病程增加、手术时间增加、侧隐窝宽度减小以及与经椎间孔入路相比的椎板间手术入路。预测模型的C指数和受试者操作特征曲线下面积显示出良好的区分度。在验证队列中也观察到了良好的预测性能和准确性。
建立并验证了一种用于预测FELD术后1周内复发性LE放射性疼痛的新型列线图。对于该模型预测术后有LE放射性疼痛高风险的患者,应考虑更积极的疼痛管理策略。