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通过综合定量微生物风险评估(QMRA)和残疾调整生命年(DALY)方法评估地表水中介导抗生素耐药肠杆菌科的额外健康负担。

Assessing the additional health burden of antibiotic resistant Enterobacteriaceae in surface waters through an integrated QMRA and DALY approach.

机构信息

NUS Environmental Research Institute, National University of Singapore, Singapore 117411, Singapore.

School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

J Hazard Mater. 2023 Sep 15;458:132058. doi: 10.1016/j.jhazmat.2023.132058. Epub 2023 Jul 14.

Abstract

Antibiotic resistant Enterobacteriaceae pose a significant threat to public health. However, limited studies have evaluated the health risks associated with exposure to antibiotic-resistant bacteria (ARB), especially in natural environments. While quantitative microbial risk assessment (QMRA) assesses microbial risks in terms of the probability of infection, it does not account for the severity of health outcomes. In this study, a QMRA-DALY model was developed to integrate QMRA with health burden (disability-adjusted life years (DALY)) from infections caused by ARB. The model considers uncertainties in probability of infection and health burden assessment using Monte Carlo simulations. The study collected antimicrobial resistance (AMR) surveillance data from surface waters with different land uses. Results revealed water bodies with agricultural land use to be the main AMR hotspots, with the highest additional health burden observed in infections caused by meropenem-resistant E. coli (∆DALY = 0.0105 DALY/event) compared to antibiotic-susceptible E. coli. The estimated ∆DALY for antibiotic-resistant K. pneumoniae was lower than for antibiotic-resistant E. coli (highest ∆DALY = 0.00048 DALY/event). The study highlights the need for better evaluation of AMR associated health burden, and effective measures to mitigate the risks associated with antibiotic-resistant bacteria in natural environments.

摘要

耐抗生素肠杆菌科对公共卫生构成重大威胁。然而,有限的研究评估了接触耐抗生素细菌(ARB)相关的健康风险,特别是在自然环境中。虽然定量微生物风险评估(QMRA)根据感染的可能性评估微生物风险,但它并未考虑健康结果的严重程度。在这项研究中,开发了一种 QMRA-DALY 模型,将 QMRA 与由 ARB 引起的感染的健康负担(伤残调整生命年(DALY))相结合。该模型使用蒙特卡罗模拟考虑了感染概率和健康负担评估中的不确定性。该研究从具有不同土地利用的地表水收集了抗生素耐药性(AMR)监测数据。结果表明,具有农业用地的水体是主要的 AMR 热点,与抗生素敏感的大肠杆菌相比,耐美罗培南的大肠杆菌引起的感染导致的额外健康负担最高(∆DALY = 0.0105 DALY/事件)。估计的耐抗生素肺炎克雷伯菌的 ∆DALY 低于耐抗生素大肠杆菌(最高 ∆DALY = 0.00048 DALY/事件)。该研究强调需要更好地评估与 AMR 相关的健康负担,并采取有效措施减轻自然环境中耐抗生素细菌的风险。

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