A prediction model for the efficacy of continuous positive airway pressure on bronchiolitis

Area of Science:

• Pediatric Pulmonology
• Medical Informatics
• Biostatistics

Background:

• Bronchiolitis necessitates accurate prediction of treatment response for timely intervention.
• Continuous positive airway pressure (CPAP) is a key therapy, but its efficacy prediction requires refinement.

Purpose of the Study:

• To develop and validate a predictive nomogram for CPAP efficacy in pediatric bronchiolitis.
• To compare the nomogram's accuracy against established scoring systems: Pediatric Risk of Mortality III (PRISM III), Brighton Pediatric Early Warning Score (PEWS), and Pediatric Critical Illness Score (PCIS).

Main Methods:

• A retrospective study collected data from 510 children with bronchiolitis treated with CPAP.
• A multivariate logistic regression model was used to establish the nomogram.
• The nomogram's predictive performance was assessed using area under the curve (AUC), calibration curves, and the Hosmer-Lemeshow test, with comparisons to PRISM III, PEWS, and PCIS.

Main Results:

• The developed nomogram incorporates ten factors: fever, APTT, white blood cells, serum potassium, lactic acid, immunodeficiency, atelectasis, lung consolidation, congenital airway dysplasia, and congenital heart disease.
• The nomogram achieved high predictive accuracy with an AUC of 0.919 in the training set and 0.947 in the validation set.
• The nomogram demonstrated superior performance compared to PRISM III, PCIS, and PEWS.

Conclusions:

• A novel nomogram effectively predicts CPAP efficacy in bronchiolitis, integrating ten clinical and laboratory parameters.
• The nomogram offers superior predictive accuracy and clinical utility over existing scores for managing pediatric bronchiolitis.
• This tool can aid clinicians in optimizing CPAP treatment strategies for children with bronchiolitis.