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Implementation of Automated Blood Culture With Quality Assurance in a Resource-Limited Setting
Anja von Laer1,2,3, Micheline Ahou N'Guessan4, Fidèle Sounan Touré4
1Postgraduate Training for Applied Epidemiology, Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Frontiers in Medicine
|June 7, 2021
Summary
Automated blood cultures (BC) significantly improve pathogen detection and reduce turnaround time in resource-limited settings. This study demonstrates the feasibility and benefits of implementing automated BC systems in Africa for enhanced antimicrobial resistance surveillance.
Area of Science:
- Clinical Microbiology
- Infectious Diseases
- Public Health Surveillance
Background:
- Blood cultures (BC) are crucial for antimicrobial resistance surveillance, especially in resource-limited settings where manual methods prevail.
- Limited data exists on the performance of automated BC systems in African healthcare facilities.
- This study evaluated automated BC implementation within the African Network for improved Diagnostics, Epidemiology and Management of Common Infectious Agents (ANDEMIA).
Purpose of the Study:
- To compare the performance of automated versus manual blood culture systems.
- To assess yield, contamination rates, and turnaround times of both methods.
- To evaluate the feasibility of automated BC in a resource-limited African setting.
Main Methods:
- A comparative study of automated (BacT/ALERT®FA Plus) and manual (brain-heart infusion broth) BC was conducted over 8 months.
- 337 matched pairs of BC were inoculated with 10 ml of blood each from the same venipuncture.
- Automated BC were incubated for 5 days, manual BC for 10 days, with terminal subcultures for manual BC only.
Main Results:
- Automated BC showed a significantly higher positive yield (36.5%) compared to manual BC (24.0%) (p<0.01).
- Turnaround time for positive results was reduced by an average of 2.5 days with the automated system (p<0.01).
- Contamination rates were similar (47.9% automated vs. 43.8% manual, p=1.0), and isolate retesting showed 79.6% concordance.
Conclusions:
- Automated BC systems are feasible in resource-limited settings and enhance microbiological diagnostic performance.
- Implementation leads to increased pathogen detection and shorter turnaround times, aiding antimicrobial resistance surveillance.
- Sustained success requires clinician training, improved diagnostic stewardship, and careful consideration of economic and logistical factors.

