Ngogang Marie Paule, Nkoth Abel Fils, Ngaleu Welysiane, Mfouapon Heroine, Ekoume Priscille, Nibeye Yannick, Medi Sike Christiane, Voundi Esther Voundi, Mouliom Mouiche Mohammed Moctar, Fonkoua Marie Christine, Toukam Michel, Mbopi-Keou Francois-Xavier
Faculty of Medicine and Biomedical Sciences, Yaoundé I University, Yaounde, Cameroon.
Yaoundé General Hospital, Yaounde, Cameroon.
JAC Antimicrob Resist. 2024 Apr 24;6(2):dlae043. doi: 10.1093/jacamr/dlae043. eCollection 2024 Apr.
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.
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.
Out of 3582 specimens received, 797 were culture positive (22.3%). and 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.
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.
抗菌药物耐药性(AMR)是一个重大的健康问题,在低收入国家发生率很高。细菌学实验室通过提供抗生素敏感性测试(AST)结果来维持对抗菌药物耐药性的斗争,以确保适当的治疗。这些实验室产生大量数据,这些数据通常用于前瞻性干预。我们在一家中低收入医院环境中进行的研究旨在描述3年多来从接收的标本中分离出的细菌概况,评估它们的敏感性概况,并通过对我们的数据进行分析来确定潜在的差距或改进领域。
从2020年1月至2022年12月期间接收的所有标本的登记册中每月检索数据。使用R和WHONET软件对数据进行整理和分析。
在收到的3582份标本中,797份培养呈阳性(22.3%)。 和 经常被分离出来(分别为30.5%和24.2%)。AST结果分析显示革兰氏阴性菌对青霉素类和头孢菌素类耐药性高,而对碳青霉烯类耐药性低。基于AWaRe抗生素分类的抗生素敏感性各不相同。确定了各类标本中的细菌学概况,并获得了合理的信息以设计适合我们医院环境治疗方案。
AST结果不仅可用于治疗的前瞻性指导,而且累积数据分析有助于设计有效的抗生素处方并改善实验室的一般操作。然而,这取决于良好的记录保存、操作的标准化以及临床医生和实验室科学家之间的合作。