Objective To analyze the risk factors of Clostridioides difficile infection(CDI)in patients with diarrhea and construct a nomogram model for predicting CDI.Methods A retrospective analysis of 1,055 patients with diarrhea in Hangzhou First People's Hospital affiliated to Zhejiang University School of Medicine from August 2015 to July 2019,among which 181 cases were diagnosed with CDI.We compared the differences in stool routine,blood routine and blood biochemistry between patients with CDI and non-CDI.We sampled multivariate logistic regression analysis to screen the risk factors of CDI,and established a nomogram prediction model of the risk of CDI in patients with diarrhea.The model performance was evaluated through receiver operating characteristic(ROC).Results The incidence of CDI in 1055 patients with diarrhea was 17.2%.Logistic regression analysis showed that the percentage of neutrophils,total protein and potassium were independent risk factors for CDI in patients with diarrhea(P<0.05).The independent risk factors were introduced into the R software(R3.6.3)to construct nomogram model,the area under the curve is 0.717.Conclusion The nomogram prediction model based on the risk factors of CDI in patients with diarrhea,such as the percentage of neutrophils,total protein and potassium,has a good degree of discrimination and can provide guidance value for the initial screening of CDI.
Clostridioides difficile infectionRisk factorsNomogram prediction model
万方数据
维普
