Preliminary human health risk assessment of antibiotic exposures in human waste handling occupations.

IF 1.5 4区 医学 Q4 ENVIRONMENTAL SCIENCES
Mamadou Niang, Tiina Reponen, Glenn Talaska, Jun Ying, John F Reichard, Alison Pecquet, Andrew Maier
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引用次数: 0

Abstract

Exposure to biosolids in human waste handling occupations is associated with a risk for illness due to microbial infections. Although several years of exposure to biosolids might be hypothesized to be a prophylaxis against infection, the risks associated with infections from antibiotic-resistant organisms can also be a potential concern. Therefore, this study aimed to conduct a screening level risk assessment by deriving occupational exposure limits (OELs) characterizing the risks of adverse health effects among workers in human waste handling occupations with a focus on exposure to two pharmaceuticals commonly found in biosolids: ciprofloxacin (CIP) and azithromycin (AZ). Epidemiological and exposure studies of workers exposed to biosolids were identified through searches of major scientific databases. Screening OELs (sOELs) for these antibiotics were derived using a standardized methodology. The airborne concentrations of CIP and AZ antibiotics were determined using an exposure factors approach. The health-based exposure limits (i.e., sOELs) and the acceptable daily exposure (ADE) values for both of these antibiotics were derived as 80 μg/m3 and 12 μg/kg-day, respectively. An exposure factor approach suggested that inhalation route exposures to CIP and AZ are well below the sOELs and ADE daily doses, and likely too low to cause direct adverse health effects through antibiotic inhalation. A critical review of epidemiological studies on different occupations handling biosolids showed that the workers in industries with potential biosolids exposure have experienced an increased incidence of microbial-exposure-related illness. The health effects seen in the workers have been attributed to bacterial, viral, and protozoan infections. To the extent that bacteria are the pathogen of concern, it is not clear whether these bacteria are resistant to antibiotics commonly found in biosolids. It is also unclear whether the presence of antibiotics or antibiotic-resistant bacteria increases the susceptibility of these workers. Additional studies will provide more definitive estimates of inhalation and dermal exposures to CIP and AZ and could verify the exposure estimates in this study based on the literature and common exposure factors.

人类废物处理职业中抗生素暴露的初步人类健康风险评估。
在人类废物处理工作中接触生物固体与微生物感染导致疾病的风险有关。尽管可以假设数年接触生物固体可预防感染,但与抗生素耐药生物感染相关的风险也可能是一个潜在的问题。因此,本研究旨在通过推导职业接触限值(OELs)来进行筛选级风险评估,确定从事人类废物处理工作的工人受到不良健康影响的风险特征,重点关注生物固体中常见的两种药物:环丙沙星(CIP)和阿奇霉素(AZ)的接触情况。通过搜索主要科学数据库,确定了针对接触生物固体的工人的流行病学和接触研究。采用标准化方法得出了这些抗生素的筛选 OEL (sOEL)。采用暴露因子法确定了 CIP 和 AZ 抗生素在空气中的浓度。这两种抗生素的健康接触限值(即 sOELs)和每日可接受接触值(ADE)分别为 80 μg/m3 和 12 μg/kg-天。暴露因子法表明,通过吸入途径接触 CIP 和 AZ 远远低于 sOEL 值和 ADE 日剂量,而且可能过低,无法通过吸入抗生素对健康造成直接不良影响。对处理生物固体的不同职业的流行病学研究的严格审查表明,可能接触生物固体的行业的工人与微生物接触相关的疾病发生率有所增加。对工人健康的影响可归因于细菌、病毒和原生动物感染。如果细菌是令人担忧的病原体,尚不清楚这些细菌是否对生物固体中常见的抗生素具有抗药性。此外,抗生素或耐抗生素细菌的存在是否会增加这些工人的易感性也不清楚。更多的研究将对吸入和皮肤接触 CIP 和 AZ 的情况提供更明确的估计,并可根据文献和常见的接触因素验证本研究中的接触估计值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Occupational and Environmental Hygiene
Journal of Occupational and Environmental Hygiene 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
3.30
自引率
10.00%
发文量
81
审稿时长
12-24 weeks
期刊介绍: The Journal of Occupational and Environmental Hygiene ( JOEH ) is a joint publication of the American Industrial Hygiene Association (AIHA®) and ACGIH®. The JOEH is a peer-reviewed journal devoted to enhancing the knowledge and practice of occupational and environmental hygiene and safety by widely disseminating research articles and applied studies of the highest quality. The JOEH provides a written medium for the communication of ideas, methods, processes, and research in core and emerging areas of occupational and environmental hygiene. Core domains include, but are not limited to: exposure assessment, control strategies, ergonomics, and risk analysis. Emerging domains include, but are not limited to: sensor technology, emergency preparedness and response, changing workforce, and management and analysis of "big" data.
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