Microbiologic characterisation of bacterial infections in children with atopic dermatitis

Nkosinathi O Zwane1, Josiah T Masuka1, Antoinette V Chateau1

  • 1Department of Dermatology, Faculty of Medicine, University of KwaZulu-Natal, Durban, South Africa.

Insights

Staphylococcus aureus is the most common bacterial cause of skin infections in children with atopic dermatitis (AD). Amoxicillin-clavulanic acid and cloxacillin are the most effective treatments, though further research on resistance is needed.

Area of Science:

  • Dermatology
  • Microbiology
  • Pediatrics

Background:

  • Atopic dermatitis (AD) is a common chronic inflammatory skin condition.
  • Patients with AD are frequently colonized and infected by Staphylococcus aureus.
  • Identifying causative bacteria and their antibiotic sensitivities is crucial for effective treatment.

Purpose of the Study:

  • To determine the types of bacteria infecting eczematous lesions in children with AD.
  • To assess the antibiotic sensitivities of these bacteria.
  • To recommend appropriate first-line antibiotic therapies for pediatric AD skin infections.

Main Methods:

  • A prospective study was conducted from June 2020 to June 2021.
  • Children with AD and cutaneous infections were recruited from an outpatient dermatology clinic.
  • Microbial cultures and antibiotic sensitivity testing were performed on swabs from infected sites.

Main Results:

  • Staphylococcus aureus was the most common pathogen, identified in 77.1% of cases.
  • Co-infection with Group A Streptococcus (GAS) occurred in 22.9% of cases.
  • Amoxicillin-clavulanic acid (77.0%) and cloxacillin (71.6%) showed high sensitivity against S. aureus; GAS was sensitive to ampicillin (45.5%).

Conclusions:

  • Staphylococcus aureus is the predominant bacterial cause of skin infections in children with AD in this setting.
  • Amoxicillin-clavulanic acid and cloxacillin are recommended as sensitive therapeutic options.
  • Further studies are needed to investigate potential antibiotic resistance patterns.
Abstract