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[Risk factors for plastic bronchitis in children with macrolide-unresponsive Mycoplasma pneumoniae pneumonia and

Xiao-Song Shi1, Xiao-Hua He1, Jie Chen1

  • 1Department of Pediatrics, Provincial Hospital Affiliated to Fuzhou University/Fujian Provincial Hospital, Fuzhou 350001, China.

Zhongguo Dang Dai Er Ke Za Zhi = Chinese Journal of Contemporary Pediatrics
|January 18, 2025
PubMed

Insights

Older age and elevated lactate dehydrogenase and fibrinogen levels are key risk factors for plastic bronchitis (PB) in children with macrolide-unresponsive Mycoplasma pneumoniae pneumonia (MUMPP). A new nomogram model effectively predicts PB development.

Area of Science:

  • Pediatric Pulmonology
  • Infectious Diseases
  • Medical Diagnostics

Background:

  • Macrolide-unresponsive Mycoplasma pneumoniae pneumonia (MUMPP) can lead to serious complications.
  • Plastic bronchitis (PB) is a rare but severe condition complicating pediatric pneumonia.
  • Identifying risk factors for PB in MUMPP is crucial for early intervention.

Purpose of the Study:

  • To identify risk factors associated with plastic bronchitis (PB) in children diagnosed with macrolide-unresponsive Mycoplasma pneumoniae pneumonia (MUMPP).
  • To develop and validate a predictive nomogram model for PB in this pediatric population.

Main Methods:

  • Retrospective analysis of 178 children with MUMPP who underwent bronchoscopy.
  • Comparison of clinical and laboratory data between children with PB (n=49) and without PB (n=129).
  • Development and assessment of a nomogram prediction model using logistic regression, ROC analysis, and goodness-of-fit tests.

Main Results:

  • Older age, elevated lactate dehydrogenase (LDH), and higher fibrinogen levels were significant risk factors for PB in children with MUMPP (P<0.05).
  • The developed nomogram model demonstrated good discriminatory ability with an AUC of 0.733.
  • The model showed good fit and clinical utility, indicating its potential for practical application.

Conclusions:

  • A risk nomogram incorporating age, LDH, and fibrinogen levels effectively predicts PB development in children with MUMPP.
  • This model offers valuable discriminatory ability, accuracy, and predictive efficacy.
  • The findings support the use of this nomogram for risk stratification and early management of PB in pediatric MUMPP.
Abstract

Keywords:
ChildMacrolide-unresponsive Mycoplasma pneumoniae pneumoniaNomogramPlastic bronchitisPredictive modelRisk factor

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