University of Bath, Department of Chemistry, Bath BA2 7AY, UK; Institute for Sustainability, Bath BA2 7AY, UK.
University of Bath, Department of Chemistry, Bath BA2 7AY, UK.
J Hazard Mater. 2023 Jul 15;454:131461. doi: 10.1016/j.jhazmat.2023.131461. Epub 2023 Apr 21.
Antimicrobial resistance (AMR) is one of the most significant global health threats. Inappropriate and over-usage of antimicrobial agents (AAs) is a major driver for AMR. Wastewater-based epidemiology (WBE) is a promising tool for monitoring AA usage in communities which is, for the first time, explored in this large scale, longitudinal study. Two contrasting urban catchment areas have been investigated: one city and one small town in the Southwest of the UK over a 13-month period in 2018-2019. Per capita daily intake of 17 AAs and metabolites has been estimated and obtained estimates were triangulated with catchment specific AA prescription data to understand AA usage patterns (both seasons driven prescription and AA prescription compliance). Results have demonstrated positive correlations for all quantifiable parent AAs and metabolites in wastewater, and spatial variability in AA usage was observed even in neighbouring urban areas. WBE and catchment specific prescription data showed similar seasonal trends but with low correlation in intake. The reasons might be variable prescribing patterns, prescription/intake outside the studied catchment, and/or lack of patient compliance. WBE proved useful in differentiating between consumption vs topical usage and/or direct disposal of unused AA. WBE is considered superior to prescription data as it provides information on AAs prescribed outside of the monitoring catchment, e.g. HIV antivirals and TB drugs. However, data triangulation, of both prescription data and wastewater data, provides the most comprehensive approach to understanding AA usage in communities.
抗微生物药物耐药性(AMR)是全球面临的最重大的健康威胁之一。抗微生物药物(AAs)的不合理和过度使用是 AMR 的主要驱动因素。基于污水的流行病学(WBE)是一种用于监测社区中 AAs 使用情况的很有前途的工具,在这项大规模的纵向研究中首次对此进行了探索。研究人员调查了两个对比鲜明的城市集水区:英国西南部的一个城市和一个小镇,在 2018 年至 2019 年的 13 个月内进行了研究。估计了 17 种 AAs 和代谢物的人均日摄入量,并将获得的估计值与集水区特定的 AAs 处方数据进行了三角剖分,以了解 AAs 使用模式(季节性驱动的处方和 AAs 处方的合规性)。结果表明,污水中所有可量化的母体 AAs 和代谢物均呈正相关,即使在相邻的城市地区也观察到了 AAs 使用的空间变异性。WBE 和集水区特定的处方数据显示出相似的季节性趋势,但摄入量的相关性较低。原因可能是处方模式的变化、研究集水区之外的处方/摄入量,以及/或者缺乏患者的合规性。WBE 证明可用于区分消耗与局部使用和/或未使用的 AAs 的直接处置。WBE 被认为优于处方数据,因为它提供了监测集水区之外开具的 AAs 的信息,例如 HIV 抗病毒药物和结核病药物。然而,处方数据和污水数据的三角剖分提供了了解社区中 AAs 使用情况的最全面方法。