ArticleBMC infectious diseases2021
Clinical features and risk factors analysis of bronchitis obliterans due to refractory Mycoplasma pneumoniae pneumonia in children: a nomogram prediction model.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- Prevalence, risk factors, and early prediction of refractory pneumonia caused by Mycoplasma pneumoniae in children: a systematic review and meta-analysis.European journal of pediatrics · 2026Pooled it
- Risk factors for complications of Mycoplasma pneumoniae pneumonia in hospitalized children in China: a systematic review and meta-analysis.BMC pediatrics · 2024Pooled it
- Efficacy of azithromycin combined with intravenous immunoglobulin in the treatment of refractory mycoplasma pneumoniae pneumonia in children: a meta-analysis.BMC pediatrics · 2024Pooled it
- Development and validation of a multivariate predictive model for the risk of refractory mycoplasma pneumoniae pneumonia in children based on quantitative computed tomography features.Translational pediatrics · 2026Article
- Pathogenesis and Risk Factors of Post-Infectious Bronchiolitis Obliterans in Children: A Focus on Adenovirus and Mycoplasma Infections.Pathogens (Basel, Switzerland) · 2026Review
- Predictors for pediatric bronchitis obliterans in Mycoplasma pneumoniae pneumonia with bronchial casts.Scientific reports · 2026Article
- A nomogram model for predicting the risk factors of plastic bronchitis in children.Frontiers in medicine · 2026Article
- Analysis of Risk Factors and Development of a Predictive Nomogram for Bronchiolitis Obliterans in Children With Severe Adenovirus Pneumonia: A Retrospective Study.Canadian respiratory journal · 2026Article
- Initial presentation, etiology and risk factors for adverse outcomes in infection-associated plastic bronchitis in children: a retrospective study.Frontiers in pediatrics · 2026Article
- A nomogram prediction model for plastic bronchitis in children with refractoryFrontiers in pediatrics · 2026Article
- Review
- Risk Factor Analysis of Mycoplasma pneumoniae Pneumonia Complicated With Plastic Bronchitis in Children: A Single-Center Retrospective Study.The clinical respiratory journal · 2025Article
- Development of a nomogram for predicting refractoryTranslational pediatrics · 2025Article
- A case report of severe Mycoplasma pneumoniae pneumonia complicated by plastic bronchitis and Kawasaki disease.BMC infectious diseases · 2025Article
- A machine learning-based predictive model for multilobar pulmonary consolidation induced by macrolide-resistantMicrobiology spectrum · 2025Article
- Machine learning models based on chest computed tomography for identifying plastic bronchitis in children withTranslational pediatrics · 2025Article
- [Predictive factors and nomogram model construction for plastic bronchitis in children withZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Article
- Predictive value of an early comprehensive assessment model for refractory mycoplasma pneumoniae pneumonia and internal validation.BMC infectious diseases · 2025Article
- Development and validation of an early diagnosis model for severe mycoplasma pneumonia in children based on interpretable machine learning.Respiratory research · 2025Article
- Clinical features and risk factors of adenovirus-related plastic bronchitis in children.Italian journal of pediatrics · 2025Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundEarly prediction of bronchitis obliterans (BO) is of great significance to the improvement of the long-term prognosis of children caused by refractory Mycoplasma pneumoniae pneumonia (RMPP). This study aimed to establish a nomogram model to predict the risk of BO in children due to RMPP.
methodsA retrospective observation was conducted to study the clinical data of children with RMPP (1-14 years old) during acute infection. According to whether there is BO observed in the bronchoscope, children were divided into BO and the non-BO groups. The multivariate logistic regression model was used to construct the nomogram model.
resultsOne hundred and forty-one children with RMPP were finally included, of which 65 (46.0%) children with RMPP were complicated by BO. According to the multivariate logistic regression analysis, WBC count, ALB level, consolidation range exceeding 2/3 of lung lobes, timing of macrolides, glucocorticoids or fiber bronchoscopy and plastic bronchitis were independent influencing factors for the occurrence of BO and were incorporated into the nomogram. The area under the receiver operating characteristic curve (AUC-ROC) value of nomogram was 0.899 (95% confidence interval [CI] 0.848-0.950). The Hosmer-Lemeshow test showed good calibration of the nomogram (p = 0.692).
conclusionA nomogram model found by seven risk factor was successfully constructed and can use to early prediction of children with BO due to RMPP.
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