ArticleTranslational pediatrics2024
Predictive value of immune-related parameters in severe
Article in Translational pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neutrophil-to-lymphocyte ratio for predicting disease severity and outcomes in children with Mycoplasma pneumoniae pneumonia: a systematic review and meta-analysis.BMC pulmonary medicine · 2026Pooled it
- A machine learning-based early in-hospital risk stratification model for severe mycoplasma pneumoniae pneumonia in children.Translational pediatrics · 2026Article
- Histone acetylation-regulated FBXO11-dependent degradation of BLIMP-1 promotes lung injury.Translational pediatrics · 2026Article
- Utility of a Combined Diagnostic and Severity Scoring System Based on Complete Blood Count and Derived Immune-Inflammatory Indicators in Children With Mycoplasma pneumoniae Pneumonia.Journal of clinical laboratory analysis · 2026Article
- Novel inflammatory biomarkers and disease severity in hospitalized children withTranslational pediatrics · 2026Article
- Cutaneous and non-cutaneous diseases due to Mycoplasma pneumoniae in children.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026Review
- Emergence of Clinically Macrolide-UnresponsiveAntibiotics (Basel, Switzerland) · 2026Article
- Comparison of severe and general Mycoplasma pneumoniae pneumonia in children: a targeted next-generation sequencing based study.BMC infectious diseases · 2026Article
- [Development of a predictive model for severeZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026Article
- Lung ultrasound radiomics for identifying severeFrontiers in pediatrics · 2026Article
- Identification of clinical phenotypes and prediction model for the mixed-infection phenotype of pediatric community-acquired pneumonia based on unsupervised machine learning.Frontiers in pediatrics · 2026Article
- Immune dysregulation inFrontiers in immunology · 2026Review
- Immune dysregulation and pathogen prevalence in Mycoplasma pneumoniae pneumonia: a retrospective insight in children.Frontiers in pediatrics · 2026Article
- Machine learning-driven risk assessment of severeFrontiers in medicine · 2026Article
- Clinical value of neutrophil-to-lymphocyte ratio and D-dimer in predicting the efficacy of minocycline for pediatric Mycoplasma pneumoniae pneumonia.Frontiers in pediatrics · 2026Article
- Doxycycline for Macrolide-ResistantInfection and drug resistance · 2026Review
- Immunopathogenesis, molecular phenotyping, and host-directed interventions for severe pediatricFrontiers in cellular and infection microbiology · 2026Review
- Differences in immune function and cytokine levels among children in different age groups with severe community-acquired pneumonia.Scientific reports · 2025Article
- A machine learning-based predictive model for multilobar pulmonary consolidation induced by macrolide-resistantMicrobiology spectrum · 2025Article
- Impact of body mass index on clinical outcomes in pediatric patients with mycoplasma pneumoniae pneumonia: a retrospective cohort study.Translational pediatrics · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The severity of Methods: We performed a database analysis consisting of patients diagnosed at our medical centers with MPP between 2021 and 2023. We included pediatric patients and examined the association between complete blood cell count (CBC), lymphocyte subsets and the severity of MPP. Binary logistic regression was performed to identify the independent risk factors of sMPP. Receiver operating characteristic (ROC) curves were used to estimate discriminant ability. Results: A total of 245 MPP patients were included in the study, with 131 males and 114 females, median aged 6.0 [interquartile range (IQR), 4.0-8.0] years, predominantly located in 2023, and accounted for 64.5%. Among them, 79 pediatric patients were diagnosed as sMPP. The parameters of CBC including white blood cell (WBC) counts, neutrophil counts, monocyte counts, platelet counts, and neutrophil-to-lymphocyte ratio (NLR), were higher in the sMPP group (all P<0.05). The parameters of lymphocyte subsets including CD3 Conclusions: The predictive model formulated by age, CD3
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.