Factors Associated with the Antibiotic Treatment of Children Hospitalized for COVID-19 during the Lockdown in Serbia

Andreja Prijić1, Tatjana Gazibara2, Sergej Prijić3

  • 1Children's Hospital for Lung Diseases and Tuberculosis, University Clinical Hospital Center "Dr Dragiša Mišović-Dedinje", 11000 Belgrade, Serbia.

Insights

Unselective antibiotic use in children with COVID-19 in Serbia was common. Factors like pneumonia, fever, and C-reactive protein levels predicted multiple antibiotic prescriptions and longer treatment durations in hospitalized children.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Pharmacology

Background:

  • Unselective antibiotic use in children with COVID-19 presents a significant challenge in Serbia.
  • Limited evidence exists on predictors of multiple antibiotic prescriptions for pediatric COVID-19 cases.

Purpose of the Study:

  • To determine the prevalence of antibiotic use in hospitalized children with COVID-19.
  • To identify demographic and clinical factors associated with increased antibiotic prescriptions and treatment duration.

Main Methods:

  • Retrospective analysis of demographic, clinical, and laboratory data from hospitalized children with confirmed SARS-CoV-2 infection.
  • Inclusion criteria: children hospitalized between March 6 and May 31, 2020, at a dedicated pediatric COVID-19 facility.
  • Statistical analysis to identify factors associated with the number and duration of antibiotic treatments.

Main Results:

  • Overall antibiotic use was 47.2% in hospitalized children.
  • In children aged 1-5 years, pneumonia, higher C-reactive protein (CRP), and fever were linked to more antibiotics and longer treatment.
  • In children aged 5-17 years, pharyngeal erythema, fever, pneumonia, higher CRP, and being female were associated with increased antibiotic use and duration.

Conclusions:

  • Demographic, epidemiological, clinical, and laboratory factors significantly influence antibiotic prescribing patterns in pediatric COVID-19 patients.
  • Identifying these predictors can help optimize antibiotic stewardship and reduce unnecessary use in this population.

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