1Department of Immunology and Molecular Biology, College of Health Sciences, School of Biomedical Sciences, Makerere University, Kampala, Uganda.
2African Center of Excellence in Bioinformatics and Data Intensive Sciences, The Infectious Disease Institute, Makerere University, Kampala, Uganda.
Am J Trop Med Hyg. 2021 Jun 28;105(2):498-506. doi: 10.4269/ajtmh.20-1522.
Reliable data on antimicrobial resistance (AMR) transmission dynamics in Uganda remains scarce; hence, we studied this area. Eighty-six index patients and "others" were recruited. Index patients were those who had been admitted to the orthopedic ward of Mulago National Referral Hospital during the study period; "others" included medical and non-medical caretakers of the index patients, and index patients' immediate admitted hospital neighbors. Others were recruited only when index patients became positive for carrying antimicrobial-resistant bacteria (ARB) during their hospital stay. A total of 149 samples, including those from the inanimate environment, were analyzed microbiologically for ARB, and ARB were analyzed for their antimicrobial susceptibility profiles and mechanisms underlying observed resistances. We describe the diagnostic accuracy of the extended-spectrum β-lactamase (ESBL) production screening method, and AMR acquisition and transmission dynamics. Index patients were mostly carriers of ESBL-producing Enterobacteriaceae (PE) on admission, whereas non-ESBL-PE carriers on admission (61%) became carriers after 48 hours of admission (9%). The majority of ESBL-PE carriers on admission (56%) were referrals or transfers from other health-care facilities. Only 1 of 46 samples from the environment isolated an ESBL-PE. Marked resistance (> 90%) to β-lactams and folate-pathway inhibitors were observed. The ESBL screening method's sensitivity, specificity, positive predictive value, and negative predictive value were 100%, 50%, 90%, and 100%, respectively. AMR acquisition and transmission occurs via human-human interfaces within and outside of health-care facilities compared with human-inanimate environment interfaces. However, this remains subject to further research.
乌干达关于抗菌素耐药性(AMR)传播动态的可靠数据仍然很少;因此,我们研究了这一领域。我们招募了 86 名指数患者和“其他人”。指数患者是指在研究期间曾入住穆拉戈国家转诊医院骨科病房的患者;“其他人”包括指数患者的医护人员和非医护人员,以及指数患者入院时的邻近患者。只有当指数患者在住院期间被检测出携带抗菌素耐药菌(ARB)时,才会招募其他人。共分析了 149 份样本,包括来自非生命环境的样本,以检测 ARB,分析 ARB 的抗菌素敏感性概况和观察到的耐药机制。我们描述了扩展谱β-内酰胺酶(ESBL)产生筛查方法的诊断准确性,以及 AMR 的获得和传播动态。指数患者入院时主要携带产 ESBL 的肠杆菌科(PE),而入院时非产 ESBL-PE 携带者(61%)在入院后 48 小时内成为携带者(9%)。入院时携带 ESBL-PE 的大多数患者(56%)是从其他医疗机构转诊或转院而来。从环境中分离出的 46 个样本中只有 1 个携带 ESBL-PE。观察到对β-内酰胺类药物和叶酸途径抑制剂的明显耐药性(>90%)。ESBL 筛查方法的灵敏度、特异性、阳性预测值和阴性预测值分别为 100%、50%、90%和 100%。与人类-非生命环境界面相比,AMR 的获得和传播发生在医疗机构内外的人际界面之间。然而,这仍有待进一步研究。