A nomogram model for predicting the risk factors of plastic bronchitis in children

Objective: Plastic bronchitis (PB) in children is a critical condition requiring prompt intervention. Early identification of high-risk patients is crucial for timely bronchoscopic management. This study aimed to develop and validate a novel nomogram model for the early prediction of PB risk in pediatric patients. Methods: = 136). Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for PB by comparing demographics, clinical symptoms, laboratory findings, and imaging features between groups. A predictive nomogram was subsequently constructed based on the results of the multivariate analysis. Results: = 0.545). Conclusion: We successfully developed and validated a practical nomogram incorporating seven readily available clinical parameters. This model serves as a reliable and non-invasive tool for the early assessment of PB risk in children, potentially facilitating timely clinical decision-making and intervention.