ODI及SBI指数、SF-36量表预测脊柱复发性椎间盘突出症再手术患者预后的研究

目的:探讨ODI、SBI及SF 36量表对脊柱复发性椎间盘突出症再手术患者预后的预测价值。方法 :选取2013年6月至2015年12月因复发性椎间盘突出症再次行手术治疗的患者,按照临床疗效好中差依次分为A、B、C3组,并按70∶30比例分为训练集和测试集,采用有序Logistic回归构建预测模型,并用测试集对模型效果进行验证,计算模型准确率。结果:A、B两组患者ODI与SBI分值均较C组更低,而两组患者SF 36量表所得分值显著高于C组(P0.05);采用有序Logistic回归构建预测疗效模型得出ODI系数为0.67,SF 36系数为-0.43、SBI系数为0.52;在临床疗效好的A组,模型预测正确率为80.00%,在临床疗效为中的B组,模型预测正确率为76.92%;在临床疗效为差的C组,模型预测正确率为44.44%。结论:综合考虑ODI、SBI与SF 36构建复发性椎间盘突出症再手术后患者的临床疗效预测模型,能够较好地预测脊柱复发性椎间盘突出症再手术患者的预后,具有一定的临床应用价值。

Predictive value of ODI,SBI and SF-36 in patients with recurrent lumbar disc herniation undergoing reoperation

Objective:To evaluate the predictive value of ODI,SBI and SF-36 in patients with recurrent lumbar disc herniation undergoing reoperation.MethodsThe patients of recurrent lumbar disc herniation underwent surgical treatment from June 2013 to December 2015 were enrolled in the study. Patients were assigned to A,B,C groups according to the excellent,good,poor of clinical efficacy,and divided into training set and test set by 70:30 ratio according to random number table. we use ordered Logistic regression to construct prediction model,and test set to verify the effect of the model and calculate the accuracy of the model.ResultsBoth ODI and SBI were lower in group A and group B than group C,and the SF-36 scale was significantly higher than group C (P<0.05). The predictive efficacy model by ordered Logistic regression construction showed that the ODI coefficient was 0.67,the SF-36 coefficient was -0.43,and the SBI coefficient was 0.52. In the group A with excellent clinical efficacy,the prediction accuracy rate of the model was 80%; in the group B with good clinical efficacy,the prediction accuracy rate was 76.92% and in the group C with poor clinical efficacy,the prediction accuracy rate was 44.44%.ConclusionComprehensive consideration of ODI,SBI and SF-36 to construct a clinical prediction model for patients with recurrent intervertebral disc herniation after surgery can better predict patients'' prognosis. It has a value for clinical application.