Age-Dependent Clinical Patterns of Primary Epstein-Barr Virus Infection in Children: Insights for Diagnostic Accuracy

Demet Teker-Düztaş1, Ayşe Kaman2, Gönül Tanır2

  • 1Departments of Pediatrics, Dr. Sami Ulus Children's Health and Diseases Training and Research Hospital, 06080 Ankara, Türkiye.

Insights

Primary Epstein-Barr virus (EBV) infection in children varies widely. Specific clinical signs, not just age, predict outcomes, guiding better diagnostic and antibiotic strategies.

Area of Science:

  • Pediatric Infectious Diseases
  • Virology
  • Clinical Diagnostics

Background:

  • Primary Epstein-Barr virus (EBV) infection in children presents with diverse symptoms, complicating diagnosis and potentially leading to inappropriate antibiotic use.
  • Understanding the clinical heterogeneity is crucial for accurate and timely diagnosis in pediatric populations.

Purpose of the Study:

  • To analyze the clinical spectrum of primary EBV infection in children.
  • To identify key determinants of clinical outcomes and hospitalization.
  • To evaluate potential diagnostic tools for improving antimicrobial stewardship.

Main Methods:

  • Retrospective analysis of 695 children (0-18 years) diagnosed with primary EBV infection (VCA IgM+, EBNA IgG-).
  • Comparison of clinical, laboratory, and ultrasonographic findings by age group (≤4 vs. >4 years) and setting (inpatient vs. outpatient).
  • Multivariable logistic regression and ROC analysis for diagnostic markers and risk score derivation.

Main Results:

  • Younger children (<4 years) showed more nonspecific symptoms, while older children presented with classic infectious mononucleosis (IM) features (p < 0.001).
  • Antibiotics were prescribed in 64.2% and hospitalization occurred in 21.7% of patients.
  • Clinical findings (lymphadenopathy, vomiting) and laboratory results (lymphopenia, thrombocytosis) were stronger predictors of outcomes than age alone.

Conclusions:

  • Primary EBV infection has an age-related clinical spectrum, but specific clinical and laboratory features are key outcome drivers.
  • Age-specific diagnostic strategies and improved antimicrobial stewardship are needed.
  • A derived composite risk score shows potential for future validation as a diagnostic aid.

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