Construction and validation of predictive model for surgical site infections following spinal surgery in Chinese population
10.11816/cn.ni.2025-246875
- VernacularTitle:中国人群脊柱外科手术部位感染预测模型构建验证
- Author:
Hongxin WEI
1
;
Yan REN
;
Shuang LIU
;
Jiao SHAN
;
Hui CHEN
;
Xiao HAN
;
Zhiwei CHEN
;
Lin YANG
;
Yue LIU
;
Luyao LI
;
Hong LI
Author Information
1. 首都医科大学附属北京积水潭医院院感处,北京 100035
- Publication Type:Journal Article
- Keywords:
Surgical site infection;
Spinal surgery;
Risk prediction model;
Meta-analysis;
Risk factor
- From:
Chinese Journal of Nosocomiology
2025;35(16):2465-2470
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To construct a predictive tool for surgical site infections(SSIs)in spinal surgery for Chi-nese population to provide evidence support for reducing SSIs.METHODS A systematic review of Chinese and English database literature was conducted for Meta-analysis to obtain pooled risk values for influencing factors,and a risk prediction scoring tool was constructed based on the logistic regression model.Patients who underwent spinal surgery and completed postoperative follow-up in a tertiary hospital in Beijing from Jan.to Dec.2021 were selected to validate the predictive effect of the tool.RESULTS The predictive model for SSIs in Chinese spinal sur-gery patients was Logit(P)=—3.47+0.63(age 60 years)+0.31 ×(patient with cardiovascular disease)+0.69 ×(rheumatoid arthritis)+1.07 ×(diabetes)+1.06 ×(operation duration＞3 h)+1.17 ×(preopera-tive albumin＜35 g/L)+0.71 ×(history of spinal surgery)+0.67 ×(carrying internal implants)+0.73 ×(blood transfusion).The total score of the predictive tool was 92,with a cutoff score of≥24.50 indicating high-risk individuals.The area under the curve was 0.733,with the sensitivity 58.30％and the specificity 79.60％.CONCLUSION The established predictive model for SSIs in Chinese spine surgery demonstrates good predictive performance and can be used as a reference assessment tool in clinical practice.
