A systematic review of risk prediction models for diabetic foot infections
10.3761/j.issn.0254-1769.2024.19.006
- VernacularTitle:糖尿病足感染风险预测模型的系统评价
- Author:
Jingyi ZHU
1
;
Xi CHEN
;
Yanyuan ZHU
;
Jiaxin ZHOU
;
Jiaojiao BAI
Author Information
1. 200040 上海市 复旦大学附属华东医院护理部
- Keywords:
Diabetic Foot;
Infections;
Prediction Model;
Systematic Review;
Evidence-Based Nursing
- From:
Chinese Journal of Nursing
2024;59(19):2346-2352
- CountryChina
- Language:Chinese
-
Abstract:
Objective To systematically evaluate the risk prediction models of diabetic foot infections,and to ex-plore its implications for clinical nursing care.Methods Relevant studies in the databases of CNKI,VIP,Wanfang,CBM,CINAHL,PubMed,Web of Science,Cochrane Library,Embase,ProQuest,and Ovid were searched for the time-frame of database construction to December 2023.Literature was screened independently by 2 investigators and the area under the model curve(AUC)and its 95％confidence interval(CI),calibration method and predictors were ex-tracted,and the quality of the model was evaluated using the Predictive Modeling Study Risk of Bias Assessment Tool.Meta-analysis of the predictive value of model predictors was performed using RevMan 5.4 software.Results 7 studies were included,containing 8 risk prediction models,all of which reported the AUC(0.748-0.922),and 6 models underwent model calibration.The overall fit of the included studies was good,among which l model was low fit,and all 7 studies were at high risk of bias,mainly focusing on predictors and analysis.Meta-analysis showed that the area under the curve of the combined models was 0.831(95％CI:0.780～0.883);the disease duration(OR=2.460,95％CI:1.850～3.270),vascular disease(OR=3.110,95％CI:1.070～9.000),and neuropathy(OR=3.550,95％CI:1.920～6.560)were effective predictors of diabetic foot infection.Conclusion The current diabetic foot infection risk prediction model is still in the developmental stage,and further optimization and external validation of the ex-isting model is recommended for the future.
