Analysis of the influencing factors of poor postoperative rehabilitation in patients with degenerative lumbar spondylolisthesis
Objective To explore the influencing factors of poor postoperative rehabilitation in patients with degenerative lumbar spondylolisthesis(DLS).Methods A total of 100 patients with DLS who were treated in Wuxi Traditional Chinese Medicine Hospital,Jiangsu Province from January 2015 to January 2022 were selected,all patients were followed up for twelve months after operation.According to the improvement rate of Japanese Orthopaedic Association evaluation and treatment scale,they were divided into poor rehabilitation group and good rehabilitation group.The influencing factors of poor postoperative rehabilitation in DLS patients were analyzed.Results There were 17 patients with DLS with poor postoperation rehabilitation(17.00%).There were significant differences in age,Goutallier grade of polyfidus fat infiltration,and Fujiwara grade of distal adjacent segments facet joints between two groups(P<0.05).Age,Fujiwara grade of distal adjacent segments facet joints,and Goutallier grade of polyfidus fat infiltration were the influencing factors of poor postoperative rehabilitation in DLS patients(OR>1,P<0.05).The logistic regression equation was as follows:Logit[P/(1-P)]=0.576 × age+1.021 × Fujiwara grade of distal segments+0.887 × Goutallier grade of polyfidus fat infiltration+1.154.The area under the curve predicted postoperative poor rehabilitation by the regression equation was 0.838(95%CI:0.696-0.979,P<0.05),and the sensitivity and specificity were 70.60%and 97.60%,respectively.Conclusion The influencing factors of postoperative poor rehabilitation in DLS patients include age,Fujiwara grade of distal adjacent segments facet joints,and Goutallier grade of polyfidus fat infiltration,and it has certain application value in predicting the effect of postoperative lower limb rehabilitation training in DLS patients.
Degenerative lumbar spondylolisthesisDegeneration of adjacent segmentsRehabilitation trainingInfluencing factor