ArticleFrontiers in pediatrics2024
Clinical characteristics and risk factors for
Article in Frontiers in pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Assessment of predictive efficacy for prognosis of pediatric severeTranslational pediatrics · 2026Article
- Risk factors associated with pleural effusion in pediatric patients with severe Mycoplasma pneumonia.Medicine · 2026Observational
- Clinical features and outcomes associated with macrolide resistance - associated mutations in pediatric Mycoplasma pneumoniae pneumonia.Italian journal of pediatrics · 2026Article
- Correlation analysis of serum CHI3L1, HMGB1, and CD62E detection with the prognosis of Mycoplasma pneumoniae in children.Journal of medical biochemistry · 2026Article
- Association between 23S rRNA gene positivity and clinical characteristics in patients with mycoplasma pneumoniae pneumonia.BMC pediatrics · 2026Article
- Impact of Allergic Diseases or Obstructive Sleep Apnea Risk on SevereJournal of clinical medicine · 2026Article
- Clinical characteristics in hospitalized children with infectious mononucleosis in Shanghai China: a single-center retrospective study.Italian journal of pediatrics · 2026Article
- A prediction model for bronchoalveolar lavage in children with Mycoplasma pneumoniae pneumonia and consolidation.Scientific reports · 2026Article
- Development of a Prediction Model for Severe PediatricInfection and drug resistance · 2026Article
- Predictive Performance of a Serum sRAGE/sVEGFR-3 Dual-Biomarker Combination for Hypercoagulability Status in PediatricInternational journal of general medicine · 2026Article
- A machine learning-based predictive model for multilobar pulmonary consolidation induced by macrolide-resistantMicrobiology spectrum · 2025Article
- Epidemiology and clinical profiles of neonates withTranslational pediatrics · 2025Article
- Clinical characteristics of mycoplasma pneumoniae pneumonia in children with 23 S rRNA mutations in domain V and exploration of the timing of glucocorticoid therapy.BMC infectious diseases · 2025Article
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4 authors.
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Abstract
Background: Methods: We retrospectively enrolled patients with MPP and non-MPP (NMPP) hospitalized to the Department of Pediatrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine from 2023 to 2024. A total of 757 children with CAP were divided into MPP group and NMPP group. Patients with MPP included SMPP group and mild MPP (MMPP) group. Demographic and clinical characteristics as well as laboratory and imaging tests were deemed to be baseline data within 24 h after admission. We compared differences between MPP group and NMPP group as well as SMPP group and MMPP group. To exclude the impacts of age and gender, analysis of covariance and Logical regression was used to account for the baseline differences in the probability between MPP group and NMPP group, SMPP group and MMPP group. Logistic regression analysis was used to screen markers as potential early clinical predictors. ROC curves were applied to estimate the diagnostic and predictive value of different indicators for SMPP group. Results: Among the 757 cases of CAP, 464 cases were MPP group and 226 cases were SMPP group. There were significant differences in hospital stay and fever duration between the MPP and NMPP groups. Compared to NMPP group, MPP group exhibited higher levels of platelet count (PLT), heparin-binding protein (HBP), erythrocyte sedimentation rate (ESR), immunoglobulin G (IgG) ( Conclusions: Notable differences were observed in both clinical characteristics and serum inflammatory markers between the MPP group and the NMPP group, as well as between the SMPP group and the MMPP group. Consequently, PT, Fg, SF, IL-5 and IFN-γ hold the potential to be employed as efficacious predictors for SMPP.
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