ArticleJournal of clinical laboratory analysis2025
The Clinical Value of Novel Inflammatory Biomarkers for Predicting Mycoplasma pneumoniae Infection in Children.
Article in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 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
- Complete Blood Count-Derived Inflammatory Markers in Pediatric Lower Respiratory Tract Infection: A Narrative Review.Pathogens (Basel, Switzerland) · 2026Review
- 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
- Establishment of age-specific reference intervals for peripheral blood SII, NLR, PLR, and LMR in healthy children.BMC immunology · 2026Article
- Association Between the Systemic Inflammatory Response Index and Severe Infection in Patients with Diabetic Foot.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Integrated analysis of risk factors, visual prognosis, and pathogens in pediatric post-traumatic endophthalmitis: a retrospective cohort study.Frontiers in medicine · 2026Article
- Development and validation of a nomogram for predicting unfavorable treatment outcomes in patients with pulmonary tuberculosis and diabetes mellitus.Frontiers in medicine · 2026Article
- Association of SIRI and NLPR with post-operative pneumonia in middle-aged and elderly patients after hip fracture surgery.Frontiers in medicine · 2026Article
- The role of systemic immune-inflammation Index in predicting the diagnosis of severe pneumonia in children.Frontiers in pediatrics · 2026Article
- Application value of systemic immune-inflammation index in predicting severe Mycoplasma pneumoniae pneumonia.PloS one · 2025Article
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6 authors.
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Abstract
backgroundMycoplasma pneumoniae (MP) is a major cause of community-acquired pneumonia (CAP), posing diagnostic challenges. This study evaluates novel inflammatory biomarkers, including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and system inflammation response index (SIRI) for MP diagnosis in children.
methodsComplete blood count (CBC) results of 424 children with MP infection and 150 health children were collected. NLR, MLR, PLR, SII and SIRI, were respectively calculated. Shapiro-Wilk test, Student's t-test, Mann-Whitney U-test and Pearson chi-squared test were used to analyze the clinical data of the patients and participants. Multiple logistic regression analysis was conducted based on the results of single factor analysis. Receiver operating characteristic (ROC) curve was drawn to evaluate the potential of the above biomarkers for MP infection.
resultsCompared with the control group, white blood cell (WBC) count, neutrophil (NEU) count, monocyte (MON) count, NLR, MLR, PLR, SII and SIRI were significantly higher and lymphocyte count (LYM) and platelet (PLT) were significantly lower than those in MP group. The results of multivariate logistic regression analysis indicate that MLR and SIRI can serve as major risk factors for MP infection in children. The predictive accuracy of logistic regression model based on MLR and SIRI is 83.28%. The area under the curve (AUC) results showed that SIRI has better predicting value of MP infection (AUC = 0.892, Sensitivity = 75.7%, Specificity = 92.0%).
conclusionThis study described the significance of novel inflammatory biomarkers in children with MP infection and may provide new auxiliary diagnostic indicators for MP infection.
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