Risk factors for postoperative SSI in neurosurgery department patients undergoing craniocerebral surgeries,establishment of Nomogram prediction model and its verification
10.11816/cn.ni.2025-250148
- VernacularTitle:神经外科颅脑术后SSI危险因素及Nomogram预测模型的建立与验证
- Author:
Yinyin DENG
1
;
Bingbing CHEN
;
Yafang HONG
;
Yubin WANG
;
Xiaoqiang LIU
;
Suling HUANG
Author Information
1. 泉州市第一医院院内感染控制科,福建泉州 362000
- Publication Type:Journal Article
- Keywords:
Neurosurgery department;
Surgical site infection;
Risk factor;
Nomogram prediction model
- From:
Chinese Journal of Nosocomiology
2025;35(17):2630-2635
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To explore the risk factors for postoperative surgical site infection(SSI)in the neurosur-gery department patients undergoing craniocerebral surgeries and establish Nomogram prediction model and verify it.METHODS A total of 1 265 patients who underwent craniocerebral surgeries in neurosurgery department of the First Hospital of Quanzhou City from Jan.2021 to Dec.2022 were recruited as the research subjects.The risk factors for the postoperative SSI were explored by logistic regression model.The Nomogram prediction model was established based on the independent risk factors that were screened by logistic regression analysis,and the model was verified.RESULTS Among 1 265 patients who underwent the craniocerebral surgeries,68 had SSI,with the infection rate of 5.38％.Diabetes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days were the independent risk factors for the postoperative SSI in the patients undergoing craniocerebral surgeries(P＜0.05).The area under the receiver operating characteristic(ROC)curve(AUC)of the established Nomogram pre-diction model was 0.842 in the training group,0.863 in the verification group.the calibration curves were drawn,the goodness of fit of the established Nomogram risk prediction model was assessed by means of Hosmer-Leme-show test;the predicted probability of SSI was highly consistent with the actual probability of infection,with the modeling group(P=0.851),the validation group(P=0.893).CONCLUSIONS The postoperative SSI in the neurosurgery department patients undergoing craniocerebral surgeries is closely associated with the diabe-tes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days.The established Nomogram prediction model has high prediction capability and can accurately assess the risk of SSI in the patients.
