Guo Shuai, Chen Jie, Yang Baohui, Li Haopeng
The Health Science Center and the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
J Int Med Res. 2016 Dec;44(6):1474-1482. doi: 10.1177/0300060516665243. Epub 2016 Nov 10.
Objective Atlanto-axial dislocations (AADs) are potentially fatal disturbances with high spinal cord compression syndrome. As surgeons are still uncertain who is likely to benefit the most from surgery, a prediction tool is needed to provide decision-making support. Methods The model was established based on 108 patients with AADs using multiple binary logistic regression analysis and evaluated by calibration plot and the area under the receiver operating curve (AUC). Bootstrapping was used for internal validation. Results The prognostic model can be expressed as: logit(P) = -2.2428 + 0.3168SCOPE - 2.0375SIGNAL, in which two covariates were accepted (SCORE represents the preoperative modified Japanese Orthopedic Association (mJOA) score and SIGNAL represents the intramedullary hyperintense T-weighted imaging (TWI) with AUC = 0.8081). Conclusions The model was internally valid, and the preoperative mJOA score and hyperintense TWI were important predictors of outcomes. The threshold was defined as logit(P) = -0.7282 according to the receiver operating curve (ROC).
目的 寰枢椎脱位(AADs)是伴有严重脊髓压迫综合征的潜在致命性病症。由于外科医生仍不确定谁最有可能从手术中获益,因此需要一种预测工具来提供决策支持。方法 基于108例AADs患者,采用多元二元逻辑回归分析建立模型,并通过校准图和受试者工作特征曲线下面积(AUC)进行评估。采用自抽样法进行内部验证。结果 预后模型可表示为:logit(P) = -2.2428 + 0.3168SCOPE - 2.0375SIGNAL,其中接受了两个协变量(SCORE代表术前改良日本骨科协会(mJOA)评分,SIGNAL代表髓内高强度T加权成像(TWI),AUC = 0.8081)。结论 该模型内部有效,术前mJOA评分和高强度TWI是预后的重要预测因素。根据受试者工作特征曲线(ROC),阈值定义为logit(P) = -0.7282。