Antimicrobial susceptibility testing data analysis over 3 years at the Yaoundé General Hospital, Cameroon

Author:

Ngogang Marie Paule12ORCID,Nkoth Abel fils2,Ngaleu Welysiane2,Mfouapon Heroine2,Ekoume Priscille2,Nibeye Yannick1,Medi Sike Christiane1,Voundi Esther Voundi1,Mouliom Mouiche Mohammed Moctar3,Fonkoua Marie Christine3,Toukam Michel1,Mbopi-Keou Francois-Xavier1

Affiliation:

1. Faculty of Medicine and Biomedical Sciences, Yaoundé I University , Yaounde , Cameroon

2. Yaoundé General Hospital , Yaounde , Cameroon

3. Infectious Diseases Detection and Surveillance, USAID , Yaounde , Cameroon

Abstract

Abstract Background Antimicrobial resistance (AMR) is a major health concern with high rates in low-income countries. Bacteriology laboratories sustain the fight against AMR by providing antibiotic susceptibility testing (AST) results to ensure appropriate therapies. These laboratories generate a lot of data, which are usually used for prospective interventions. Our study conducted in a lower-middle-income hospital setting aimed to describe the profile of bacteria isolated from the specimens received over 3 years, assess their susceptibility profile and identify potential gaps or area of improvement from the analysis of our data. Methods Monthly data were retrieved from registers for all specimens received between January 2020 until December 2022. Data were compiled and analysed using the R and WHONET software. Results Out of 3582 specimens received, 797 were culture positive (22.3%). Escherichia coli and Klebsiella pneumoniae were frequently isolated (30.5% and 24.2%, respectively). AST results analysis showed high resistance of Gram-negative bacteria to penams and cephems, whereas low resistance was observed to carbapenems. Susceptibility to antibiotics based on the AWaRe antibiotic classification was variable. The bacteriological profile in the various types of specimen was established and rational information to design a therapeutic protocol adapted to our hospital setting was obtained. Conclusions AST results may not only be used for prospective guidance for treatment, but rather cumulative data analysis can contribute to design effective antibiotic prescriptions and improve general practices at the laboratory. This is, however, dependent on a good record-keeping, standardization of practices and collaboration between clinicians and laboratory scientists.

Publisher

Oxford University Press (OUP)

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