To study the risk factors associated with multidrug-resistant bacteria (MDRB) infection in diabetic foot (DF) wounds and to develop a nomogram model to predict the risk of MDRB infection in patients with DF. A total of 157 patients with DF between January 2013 and December 2023 were included in this study. A retrospective analysis was conducted to examine the characteristics of MDRB infections. Univariate and multivariate logistic regression analyses were performed to identify risk factors associated with MDRB infection. Based on these risk factors, a predictive model was built using R software and a nomogram was constructed. Multivariate logistic regression analysis revealed that the wound area, previous hospitalization, prior use of antibacterial agents, lower extremity ischaemia grade, and hypoproteinaemia were independent risk factors for MDRB infection in DF wounds (p < 0.05). Construction of the nomogram model for MDRB infection in DF wounds: A nomogram model was developed using five identified risk factors-wound area, previous hospitalization, previous use of antibacterial drugs, lower extremity ischaemia grade and hypoproteinaemia-as predictors. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.863. The model has a good ability to predict MDRB infections in DF wounds. Wound area, previous hospitalization, previous use of antibacterial drugs, lower extremity ischaemia grade and hypoproteinaemia were identified as independent risk factors for MDRB infections in DF wounds. The nomogram model constructed on the basis of these five factors demonstrated good predictive performance for MDRB infection.
Meng et al. (Mon,) studied this question.