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Risk factors associated with plastic bronchitis in children with severe Mycoplasma pneumoniae pneumonia: a systematic
Yang Zhai1, Yiting Du1, Yanru Liu2
1Emergency Department, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Insights
Elevated lactate dehydrogenase (LDH), prolonged fever, D-dimer, and specific radiological findings significantly increase the risk of plastic bronchitis (PB) in children with severe Mycoplasma pneumoniae pneumonia (MPP). These factors aid in early risk stratification for timely intervention.
Area of Science:
- Pediatric Pulmonology
- Critical Care Medicine
- Infectious Diseases
Background:
- Plastic bronchitis (PB) is a severe complication of Mycoplasma pneumoniae pneumonia (MPP) in children, characterized by obstructive bronchial casts.
- Early identification of risk factors for PB is crucial for timely bronchoscopic intervention and improved outcomes.
- Existing studies have reported inconsistent findings on risk factors, necessitating a comprehensive meta-analysis.
Purpose of the Study:
- To systematically evaluate and quantitatively synthesize evidence on risk factors associated with PB in pediatric severe or refractory MPP.
- To focus on inflammatory biomarkers, radiological features, and clinical characteristics as potential risk factors.
Main Methods:
- A systematic literature search was conducted across major databases from January 2015 to December 2025.
- Included were case-control and cohort studies on pediatric patients with severe or refractory MPP and bronchoscopically confirmed PB.
- Random-effects meta-analysis was performed, with effect sizes expressed as odds ratios (ORs) and 95% confidence intervals (CIs). Methodological quality was assessed using the Newcastle-Ottawa Scale (NOS).
Main Results:
- Twelve studies from China, involving 4,406 children (1,123 PB cases), were included.
- Significant risk factors for PB included elevated lactate dehydrogenase (LDH) (OR=4.06), prolonged fever duration (OR=3.70), elevated D-dimer (OR=2.63), pleural effusion (OR=2.46), atelectasis (OR=2.32), and extensive lung consolidation (OR=1.79).
- Radiological factors and LDH showed low heterogeneity (I²=0%), while procalcitonin (PCT) and fever duration exhibited substantial heterogeneity.
Conclusions:
- Elevated LDH, prolonged fever, D-dimer, and specific radiological findings (pleural effusion, atelectasis, consolidation) are significantly associated with increased PB risk in pediatric severe MPP.
- These identified risk factors can inform early clinical risk stratification and guide decisions for bronchoscopic intervention.
- Further prospective multicenter studies are needed to develop and validate clinical prediction models incorporating these factors.
Background:
Plastic bronchitis (PB) represents a severe complication of Mycoplasma pneumoniae pneumonia (MPP) in pediatric populations, characterized by the formation of obstructive bronchial casts. Early identification of risk factors is essential for timely bronchoscopic intervention and improved clinical outcomes. However, existing primary studies have reported inconsistent findings regarding the strength and significance of individual risk factors, likely attributable to heterogeneous study designs, varying predictor definitions and cut-off values, and differences in population severity criteria. No comprehensive meta-analysis has systematically synthesized this evidence to date. This study aimed to systematically evaluate and quantitatively synthesize evidence on risk factors associated with PB in children with severe (SMPP) or refractory (RMPP) MPP, with particular focus on inflammatory biomarkers, radiological features, and clinical characteristics.
Methods:
A systematic literature search was conducted across PubMed/MEDLINE, Embase, Web of Science, Scopus, and Cochrane Library (January 1, 2015, to December 1, 2025). Case-control and cohort studies reporting risk factors for bronchoscopically confirmed PB in pediatric SMPP or RMPP patients were included. Methodological quality was assessed using the Newcastle-Ottawa Scale (NOS). Random-effects meta-analysis was performed using the DerSimonian-Laird method with Hartung-Knapp adjustment. Effect sizes were expressed as odds ratios (ORs) with 95% confidence intervals (CIs). Heterogeneity was quantified using I2 statistics, and publication bias was assessed via Egger's regression test.
Results:
Twelve studies (8 retrospective cohort, 2 case-control, 1 prospective cohort, 1 cohort with external validation; NOS range: 6-8) comprising 4,406 children (1,123 PB cases) were included, all originating from China. A total of 38 effect sizes across 8 risk factor categories were extracted; all were multivariate-adjusted ORs. Risk factors significantly associated with PB included: lactate dehydrogenase (LDH) elevation (k=4, OR =4.06, 95% CI: 2.69-6.11, P=0.002), prolonged fever duration (k=4, OR =3.70, 95% CI: 1.12-12.26, P=0.040), D-dimer elevation (k=3, OR =2.63, 95% CI: 2.01-3.43, P=0.004), pleural effusion (k=4, OR =2.46, 95% CI: 1.55-3.91, P=0.009), atelectasis (k=4, OR =2.32, 95% CI: 1.61-3.34, P=0.005), and consolidation involving ≥2/3 lung lobe (k=2, OR =1.79, 95% CI: 1.36-2.37, P=0.02). Radiological risk factors and LDH demonstrated consistently low heterogeneity (I2=0%). One study reporting LDH as a continuous per-unit OR was excluded from the LDH pooled analysis due to scale incompatibility with dichotomized ORs. Substantial heterogeneity was observed for procalcitonin (PCT) (I2=77.8%) and fever duration (I2=47.5%).
Conclusions:
Elevated LDH, prolonged fever duration, D-dimer elevation, and specific radiological features (pleural effusion, atelectasis, consolidation) are significantly associated with increased risk of PB in pediatric SMPP. These risk factors may inform early clinical risk stratification and guide decision-making regarding bronchoscopic intervention. However, their predictive accuracy requires formal evaluation using discrimination metrics. Future prospective multicenter studies are warranted to develop and validate clinical prediction models incorporating these factors.
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