Shrestha Abha, Shrestha Rajeev, Koju Pramesh, Tamrakar Sudichhya, Rai Anisha, Shrestha Priyanka, Madhup Surendra Kumar, Katuwal Nishan, Shrestha Archana, Shrestha Akina, Shrestha Sunaina, K C Sandip, Kharel Supriya, Tamang Pooja, Thekkur Pruthu, Shakya Shrestha Sony
Department of Community Medicine, Kathmandu University School of Medical Sciences, Kathmandu University, Dhulikhel 45210, Nepal.
Department of Pharmacology, Kathmandu University School of Medical Sciences, Kathmandu University, Dhulikhel 45210, Nepal.
Trop Med Infect Dis. 2022 Jul 12;7(7):133. doi: 10.3390/tropicalmed7070133.
Evidence-based decision-making to combat antimicrobial resistance (AMR) mandates a well-built community-based surveillance system for assessing resistance patterns among commensals and pathogenic organisms. As there is no such surveillance system in Nepal, we attempted to describe the antimicrobial resistance pattern in isolated from the fecal samples of apparently healthy individuals in Dhulikhel municipality and also explored the local drivers of AMR. We used a mixed-method design with a cross-sectional quantitative component and a descriptive qualitative component, with focus group discussion and key informant interviews as the data collection method. Fecal samples were collected from 424 individuals randomly selected for the study. was isolated from 85.9% of human fecal samples, of which 14% were resistant to ≥3 class of antimicrobials (multidrug resistant). Of the 368 isolates, resistance to ampicillin (40.0%), tetracycline (20.7%) and cefotaxime (15.5%) were most prevalent. The major drivers of AMR were: lack of awareness of AMR, weak regulations on sales of antimicrobials, poor adherence to prescribed medications, and incomplete dosage due to financial constraints. These findings indicate the need for strict implementation of a national drug act to limit the over-the-counter sales of antimicrobials. Additionally, awareness campaigns with a multimedia mix are essential for educating people on AMR.
基于证据的抗击抗菌药物耐药性(AMR)决策要求建立一个完善的社区监测系统,以评估共生菌和致病生物体中的耐药模式。由于尼泊尔没有这样的监测系统,我们试图描述从杜利凯尔市看似健康个体的粪便样本中分离出的 的抗菌药物耐药模式,并探讨 AMR 的当地驱动因素。我们采用了混合方法设计,包括横断面定量部分和描述性定性部分,以焦点小组讨论和关键信息访谈作为数据收集方法。从随机选择参与研究的 424 个人中收集粪便样本。 从 85.9% 的人类粪便样本中分离出来,其中 14% 对≥3 类抗菌药物耐药(多重耐药)。在 368 株分离株中,对氨苄西林(40.0%)、四环素(20.7%)和头孢噻肟(15.5%)的耐药最为普遍。AMR 的主要驱动因素包括:对抗菌药物耐药性缺乏认识、抗菌药物销售监管薄弱、对规定药物的依从性差以及由于经济限制导致的剂量不完整。这些发现表明需要严格实施国家药品法案以限制抗菌药物的非处方销售。此外,开展多媒体综合宣传活动对于教育人们了解抗菌药物耐药性至关重要。
需注意,原文中存在部分缺失信息(如“ was isolated from 85.9% of human fecal samples”中的“ ”),以上译文是在尽量理解整体文意基础上完成的。