The development of a predictive model which provides early identification of multidrug-resistant bacterial infections in diabetic foot wounds has “significant clinical implications” and could allow for targeted, more rigorous infection control measures.
A recent study by researchers in China set out to examine the risk factors associated with multidrug-resistant bacteria (MDRB) infection in diabetic foot wounds, with the aim of developing a nomogram model to predict the risk of MDRB infection in these patients.
A group of 157 patients with diabetic foot (DF) between January 2013 and December 2023 were included in the study, with retrospective analysis conducted to examine the characteristics of MDRB infections.
The team developed a predictive model using R software and a nomogram model was constructed using five identified risk factors as predictors – wound area, previous hospitalisation, previous use of antibacterial drugs, lower extremity ischaemia grade and hypoproteinaemia.
The study authors reported the nomogram model constructed on the basis of these five factors demonstrated good predictive performance for MDRB infection.
They concluded: “The model has a good ability to predict MDRB infections in DF wounds.
“The findings of this study have significant clinical implications. Early identification of MDRB infection risk allows clinicians to initiate targeted empirical therapy and implement more rigorous infection control measures.
“The nomogram model can aid in personalised clinical decision-making, reduce the likelihood of inappropriate antibiotic use, and potentially improve wound healing outcomes while minimising complications such as amputation.”
Read more in the International Wound Journal
