帕金森病患者DBS术后切口愈合不良影响因素探究及列线图的构建OA

Objective To analyze the influencing factors for poor incision healing after deep brain stimulation(DBS)in patients with Parkinson's disease(PD)and to construct a nomogram for facilitating the clinical screening of high-risk individuals.Methods A total of 575 PD patients who underwent DBS surgery in the Department of Neurosurgery,Tangdu Hospital,Air Force Medical University from January 1st,2018 to December 31st,2022 were included.Patients were followed for 6 months postoperatively and divided into two groups based on incision healing outcomes,the good healing group(n=535)and the poor healing group(n=40).The clinical data were retrospectively compared between the two groups.Multivariate Logistic regression was used to identify factors influencing poor incision healing.A nomogram model was constructed based on these factors.The discriminative ability,calibration,and clinical utility of the model were evaluated using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA)curve.Results Among the 575 patients,40 cases developed poor incision healing,with an incidence of 7.0%.Multivariate analysis showed that gender,intraoperative blood loss,diabetes,depression score,and preoperative albumin were independent influencing factors,The area under the curve(AUC)for the nomogram was 0.920(95%CI=0.881-0.960).Conclusions The risk of poor incision healing after DBS surgery in PD patients can be effectively predicted using factors including gender,intraoperative blood loss,diabetes,depression score,and preoperative albumin.The nomogram serves as a valuable tool for early identification of high-risk patients and guidance of clinical intervention.