ArticlePloS one2022
Use of common blood parameters for the differential diagnosis of childhood infections.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 7 citations in OpenAlex.
- The value of common blood parameters for the differential diagnosis of respiratory tract infections in children.AMB Express · 2025Article
- Interferon-Stimulated Genes and Immune Metabolites as Broad-Spectrum Biomarkers for Viral Infections.Viruses · 2025Review
- The relationship between Mycoplasma and Kawasaki disease in pediatric patients: An updated systematic review and meta-analysis.Archives of rheumatology · 2024Review
- The blood routine test holds screening values for influenza A in 2023: a retrospective study.Translational pediatrics · 2024Article
- Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study.Journal of medical Internet research · 2023Article
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2 authors at 1 institution in 1 country.
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Abstract
backgroundRoutine laboratory investigations are not rapidly available to assist clinicians in the diagnosis of pediatric acute infections. Our objective was to evaluate some common blood parameters and use them for the differential diagnosis of childhood infections.
methodsThis retrospective study was conducted between October 2019 and September 2020 at Guangzhou Women and Children's Medical Center, China. We performed blood tests in patients infected with DNA viruses (n = 402), RNA viruses (n = 602), gram-positive organisms (G+; n = 421), gram-negative organisms (G-; n = 613), or Mycoplasma pneumoniae (n = 387), as well as in children without infection (n = 277). The diagnostic utility of blood parameters to diagnose various infections was evaluated by logistic regression analysis.
resultsThe most common G+ organism, G- organism, and virus were Streptococcus pneumoniae (39.7%), Salmonella typhimurium (18.9%), and influenza A virus (40.2%), respectively. The value of logit (P) = 0.003 × C-reactive protein (CRP) - 0.011 × hemoglobin (HGB) + 0.001 × platelets (PLT) was significantly different between the control, RNA virus, DNA virus, M. pneumoniae, G- organism, and G+ organism groups (2.46 [95% CI, 2.41-2.52], 2.60 [2.58-2.62], 2.70 [2.67-2.72], 2.78 [2.76-2.81], 2.88 [2.85-2.91], and 2.97 [2.93-3.00], respectively; p = 0.00 for all). The logistic regression-based model showed significantly greater accuracy than the best single discriminatory marker for each group (logit [Pinfection] vs. CRP, 0.90 vs. 0.84, respectively; logit [PRNA] vs. lymphocytes, 0.83 vs. 0.77, respectively; p = 0.00). The area under curve values were 0.72 (0.70-0.74) for HGB and 0.81 (0.79-0.82) for logit (Pvirus/bacteria) to diagnose bacterial infections, whereas they were 0.72 (0.68-0.74) for eosinophils and 0.80 (0.78-0.82) for logit (Pvirus/bacteria) to diagnose viral infections. Logit (Pvirus/bacteria) < -0.45 discriminated bacterial from viral infection with 78.9% specificity and 70.7% sensitivity.
conclusionsThe combination of CRP, HGB, PLT, eosinophil, monocyte, and lymphocyte counts can distinguish between the infectious pathogens in children.
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