ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based

Paul Turner1,2, Elizabeth A Ashley2,3, Olivier J Celhay4

  • 1Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia.

Insights

The ACORN project develops a clinical surveillance system to track antimicrobial resistance (AMR) and drug-resistant infections (DRIs) in low-resource hospitals, enhancing data for treatment guidelines and interventions.

Area of Science:

  • Global Health
  • Infectious Diseases
  • Clinical Microbiology

Background:

  • Antimicrobial resistance (AMR) and drug-resistant infections (DRIs) pose a significant global health challenge.
  • Current surveillance systems are often passive, pathogen-based, and prone to bias.
  • Integrating clinical and patient outcome data with pathogen surveillance offers substantial added value.

Purpose of the Study:

  • To develop an efficient, clinically-oriented antimicrobial resistance (AMR) surveillance system.
  • To implement this system within routine clinical care in low- and middle-income country (LMIC) hospitals.
  • To generate actionable data for informing treatment guidelines and national policies.

Main Methods:

  • The ACORN project pilots a system collecting clinical and microbiology data for meningitis, pneumonia, and sepsis.
  • Data collection utilizes mobile devices for patient variables and integrates with onsite laboratory data.
  • Target pathogens include *Streptococcus pneumoniae, Staphylococcus aureus, Salmonella* spp., *Klebsiella pneumoniae, Escherichia coli,* and *Acinetobacter baumannii*.

Main Results:

  • The system merges clinical and laboratory data using automated scripts.
  • A browser-based application provides interactive data visualization, analysis, and reporting tools.
  • A six-month pilot phase will test and refine the surveillance tools before wider rollout.

Conclusions:

  • The ACORN system will provide crucial data on the burden of drug-resistant infections (DRIs).
  • This data will inform local treatment guidelines and national health policies.
  • The surveillance system aims to serve as an indicator for intervention impact assessment.

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