Invasive candidiasis (IC) continues to be a major infection in intensive care units, marked by high incidence and mortality, especially among patients receiving broad-spectrum antibiotics.
The research aimed to explore how detailed patterns of antibiotic use correlate with the development of IC and to create an early predictive model tailored to patients treated with broad-spectrum antibiotics.
Researchers retrospectively gathered information on antibiotic classes, treatment durations, combination therapies, and other clinical variables from the enrolled patients. Statistical analyses, including univariate and multivariate logistic regression, were used to determine IC risk factors and to construct a nomogram-based predictive model.
"Combination therapy significantly increased the risk of IC (odds ratio [OR] = 2.341, 95% confidence interval [CI]: 1.316–4.162), with the combination of beta-lactams/beta-lactamase inhibitors and glycopeptides showing the highest IC risk."
Broad-spectrum antibiotic use and extended or combined regimens markedly heighten the likelihood of invasive candidiasis in critically ill patients.