RESUMO
OBJECTIVE@#To evaluate the predictive value of ODI, SBI and SF-36 in patients with recurrent lumbar disc herniation undergoing reoperation.@*METHODS@#The 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.@*RESULTS@#Both 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 (<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%.@*CONCLUSIONS@#Comprehensive 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.