喀麦隆雅温得综合医院三年来抗菌药物药敏试验数据分析。

IF 3.7 Q2 INFECTIOUS DISEASES JAC-Antimicrobial Resistance Pub Date : 2024-04-24 eCollection Date: 2024-04-01 DOI:10.1093/jacamr/dlae043
Marie Paule Ngogang, Abel Fils Nkoth, Welysiane Ngaleu, Heroine Mfouapon, Priscille Ekoume, Yannick Nibeye, Christiane Medi Sike, Esther Voundi Voundi, Mohammed Moctar Mouliom Mouiche, Marie Christine Fonkoua, Michel Toukam, Francois-Xavier Mbopi-Keou
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引用次数: 0

摘要

背景:抗菌素耐药性(AMR)是低收入国家的一个主要健康问题,其发生率很高。细菌学实验室通过提供抗生素药敏试验(AST)结果来确保采取适当的治疗方法,从而持续抗击 AMR。这些实验室产生了大量数据,通常用于前瞻性干预。我们的研究是在一家中低收入医院环境中进行的,旨在描述 3 年来从接收的标本中分离出的细菌概况,评估其药敏性概况,并从数据分析中找出潜在的差距或需要改进的地方:从 2020 年 1 月至 2022 年 12 月期间收到的所有标本登记册中检索每月数据。使用 R 和 WHONET 软件对数据进行编译和分析:在收到的 3582 份标本中,有 797 份培养呈阳性(22.3%)。其中大肠埃希菌和肺炎克雷伯菌的分离率较高(分别为 30.5% 和 24.2%)。AST 结果分析表明,革兰氏阴性菌对青霉烯类和头孢菌素的耐药性较高,而对碳青霉烯类的耐药性较低。根据 AWaRe 抗生素分类,对抗生素的敏感性各不相同。我们确定了各类标本的细菌学特征,并获得了设计适合本医院环境的治疗方案的合理信息:AST 的结果不仅可用于前瞻性的治疗指导,累积数据分析还有助于设计有效的抗生素处方,改善实验室的一般做法。然而,这取决于良好的记录保存、标准化操作以及临床医生和实验室科学家之间的合作。
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Antimicrobial susceptibility testing data analysis over 3 years at the Yaoundé General Hospital, Cameroon.

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.

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