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Author Spotlight: Investigating the Key Factors of Obliterative Bronchiolitis After Lung Transplantation
Published on: November 10, 2023
Risk factors and prediction models for bronchiolitis obliterans after severe adenoviral pneumonia
Shunhang Wen1, Ming Xu1, Weigang Jin1
1Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China.
Insights
Children under 1 year, PICU admission, prolonged fever, and bilateral lung infections are key risk factors for developing post-infectious bronchiolitis obliterans (PIBO) after severe adenoviral pneumonia (SAP). A predictive nomogram aids early PIBO diagnosis and intervention.
Area of Science:
- Pediatric Pulmonology
- Infectious Diseases
Background:
- Adenoviruses are primary causes of post-infectious bronchiolitis obliterans (PIBO).
- Risk factors for PIBO include wheezing, tachypnea, hypoxemia, and mechanical ventilation.
Purpose of the Study:
- Investigate risk factors for PIBO in children with severe adenoviral pneumonia (SAP).
- Develop and validate a predictive nomogram for PIBO in pediatric SAP patients.
Main Methods:
- Prospective study of 148 hospitalized children with SAP.
- Least Absolute Shrinkage and Selection Operator (LASSO) regression for variable selection.
- Logistic regression and nomogram construction for risk factor analysis and prediction.
Main Results:
- Age < 1 year, PICU admission, long fever duration, and bilateral lung infection identified as significant risk factors for PIBO.
- The developed nomogram demonstrated strong predictive accuracy with a C-index of 0.85.
- The nomogram showed good calibration and clinical utility via decision curve analysis.
Conclusions:
- Age < 1 year, PICU admission, prolonged fever, and bilateral lung infection are independent predictors of PIBO in pediatric SAP.
- The nomogram serves as a valuable tool for early PIBO diagnosis and timely clinical intervention.
Abstract:
Severe adenoviral pneumonia (SAP) can cause post-infectious bronchiolitis obliterans (PIBO) in children. We aimed to investigate the relevant risk factors for PIBO and develop a predictive nomogram for PIBO in children with SAP. This prospective study analysed the clinical data of hospitalised children with SAP and categorised them into the PIBO and non-PIBO groups. Least absolute shrinkage and selection operator (LASSO) regressions were applied to variables that exhibited significant intergroup differences. Logistic regression was adopted to analyse the risk factors for PIBO. Additionally, a nomogram was constructed, and its effectiveness was assessed using calibration curves, C-index, and decision curve analysis. A total of 148 hospitalised children with SAP were collected in this study. Among them, 112 achieved favourable recovery, whereas 36 developed PIBO. Multivariable regression after variable selection via LASSO revealed that aged < 1 year (OR, 2.38, 95% CI, 0.82-6.77), admission to PICU (OR, 24.40, 95% CI, 7.16-105.00), long duration of fever (OR, 1.16, 95% CI, 1.04-1.31), and bilateral lung infection (OR, 8.78, 95% CI, 1.32-195.00) were major risk factors for PIBO. The nomogram model included the four risk factors: The C-index of the model was 0.85 (95% CI, 0.71-0.99), and the area under the curve was 0.85 (95% CI, 0.78-0.92). The model showed good calibration with the Hosmer-Lemeshow test (χ2 = 8.52, P = 0.38) and was useful in clinical settings with decision curve analysis.
Conclusion:
Age < 1 year, PICU admission, long fever duration, and bilateral lung infection are independent risk factors for PIBO in children with SAP. The nomogram model may aid clinicians in the early diagnosis and intervention of PIBO.
What Is Known:
• Adenoviruses are the most common pathogens associated with PIBO. • Wheezing, tachypnoea, hypoxemia, and mechanical ventilation are the risk factors for PIBO.
What Is New:
• Age < 1 year, admission to PICU, long duration of fever days, and bilateral lung infection are independent risk factors for PIBO in children with SAP. • A prediction model presented as a nomogram may help clinicians in the early diagnosis and intervention of PIBO.
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