ArticlePlastic and reconstructive surgery2026
Risk Prediction of Multidrug-Resistant Infections in Pediatric Burn Patients with Hospital-Acquired Infections: A Retrospective Cohort Study.
Article in Plastic and reconstructive surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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4 authors.
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Abstract
backgroundMultidrug-resistant organism (MDRO) infections pose a growing threat to pediatric burn patients, contributing to prolonged hospitalization, increased health care burden, and limited therapeutic options. Despite their clinical significance, predictive tools specific to MDRO infections in this population remain scarce. The authors aimed to identify independent clinical predictors of MDRO infection among pediatric burn patients with health care-associated infections (HAIs) and to construct a validated nomogram for individualized risk estimation.
methodsA retrospective cohort study was conducted at a tertiary-care pediatric burn center in China, including patients 1 month to 18 years of age who developed HAIs between January of 2020 and December of 2023. Multivariable logistic regression was used to identify independent risk factors, and a nomogram was constructed accordingly. Model performance was evaluated using the area under the receiver operating characteristic curve, calibration plot, decision curve analysis, and clinical impact curve.
resultsAmong 763 pediatric burn patients with HAIs, 93 (12.2%) developed MDRO infections. Six independent predictors were identified: total burn surface area, hospital length of stay, intensive care unit admission, mechanical ventilation, central venous catheter use, and acute inhalation injury. The nomogram demonstrated excellent discrimination (area under the receiver operating characteristic curve 0.962), good calibration, and favorable clinical utility across a range of threshold probabilities.
conclusionsThis study presents a clinically applicable nomogram for early prediction of MDRO infection in pediatric burn patients with HAIs. The tool may support individualized risk stratification, guide targeted preventive interventions, and inform empirical antibiotic decision-making in burn care settings. Prospective validation is warranted.
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