Automated blood culture systems for isolation of bacterial pathogens of bloodstream infection: The experience of Bobo-Dioulasso Teaching Hospital, Burkina Faso

1Nagalo, A., 1Kaboré, O. D., 1Koulbou, M., 2Sanogo, B., 3Yehouenou, C. L., 5Traoré, I., 4Zoungrana, J., 4Poda, A., and 1Ouédraogo, A-S.

 1Department of Bacteriology Laboratory, Sourô Sanou University Hospital, 01 BP 676, Bobo-Dioulasso, Burkina Faso

2Department of Medical Paediatrics, Sourô Sanou University Hospital, 01 BP 676, Bobo-Dioulasso, Burkina Faso

3Mycobacteria Reference Laboratory (LRM), BP 817, Cotonou, and Faculty of Health Sciences, University of Abomey Calavi, Cotonou, Bénin

4Department of Infectious Diseases, Sourô Sanou University Hospital, 01 BP 676, Bobo-Dioulasso, Burkina Faso

5Department of Intensive Cares, Sourô Sanou University Hospital, 01 BP 676, Bobo-Dioulasso, Burkina Faso

*Correspondence to: nagaloandre@gmail.com; +226 71407137

 

Abstract:

Background: Identification of the causative agent is an essential requirement for better treatment of bloodstream infection. The BacT/Alert 3D (BioMérieux, Marcy l’Étoile, France), is a blood culture system equipped with CO2 sensors to monitor the growth of microorganisms in blood culture bottles designed to optimize bacterial growth. The aim of this study was to determine the performance of this equipment in detecting bacterial pathogens from patients with bloodstream infection in the context of low-and-middle-income countries (LMICs), with Bobo-Dioulasso Teaching Hospital as a case study.

Methodology: A cross-sectional study was conducted over a period of 5 months at the Sourô Sanou University Hospital, Bobo-Dioulasso, Burkina Faso, a low-income country. Blood samples from a total of 231 patients with clinical suspicion of bloodstream infections were collected and processed according to the manufacturer’s instructions.

Results: Sixty-nine of the 231 blood culture samples of patients were positive, giving a bacteriological yield of 29.9%. Escherichia coli, Salmonella spp, and Staphylococcus aureus were the top three bacterial species isolated.  Conclusion: The implementation of the BacT/Alert 3D system has significantly enhanced the diagnosis of bacteraemia in the Bobo-Dioulasso Teaching Hospital. This enhancement is marked by time savings in patient care, reduced staff workload, and an increased bacteriological yield over time.

Keywords: Bloodstream infection, Automated blood culture, Low-and-middle-income-countries

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Automated blood culture systems for isolation of bacterial pathogens of bloodstream infection: The experience of Bobo-Dioulasso Teaching Hospital, Burkina Faso