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耐甲氧西林金黄色葡萄球菌经交叉污染和再污染导致的消费者暴露估计的概率模型。

Probabilistic model for the estimation of the consumer exposure to methicillin-resistant Staphylococcus aureus due to cross-contamination and recontamination.

机构信息

Department-Biological Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

出版信息

Microbiologyopen. 2019 Nov;8(11):e900. doi: 10.1002/mbo3.900. Epub 2019 Jul 10.

Abstract

The presence of multidrug-resistant bacteria like methicillin-resistant Staphylococcus aureus (MRSA) in retail meat is one of the current concerns of the public health authorities. Bacterial cross-contamination and recontamination during household food preparation could play an important role in the dissemination of such bacteria, and therefore could contribute to a serious health problem, more specifically for immunocompromised people. In order to evaluate the importance of such events, a probabilistic model was developed to estimate the likelihood and extent of cross-contamination and recontamination and the burden of MRSA from contaminated raw chicken meat via hands and kitchen utensils in a serving (consisting on a slice of bread and a piece of grilled chicken meat) during a household barbecue in Germany. A modular design was used, taking into account the chronological order of the routines during the barbecue event, and Monte Carlo simulations were applied. Available data on the prevalence and burden of MRSA in chicken meat at retail in Germany were used as starting point and were incorporated in the model as probability distributions. The probabilities and extent of bacterial transfer between food items and kitchen utensils (referred to as "Objects") and the routines performed during food preparation (referred to as "Actions") specified by their probabilities of occurrence were incorporated as the main input parameters. The model was set up in R 3.5.0 and converted to a standardized format (FSKX file). Therefore, the code can be easily accessed, evaluated, modified, and reused for different purposes. The present study contributes to the quantification of consumer exposure to MRSA through food consumption once contaminated food has entered the household kitchen. Even when the MRSA prevalence and bacterial load in retail chicken meat in Germany are low, resistant bacteria can reach the consumer due to cross-contamination and recontamination events. The results show that the probability of one CFU to be transferred from the contaminated raw chicken meat to the final serving and the number of MRSA bacteria transferred due to cross-contamination and recontamination events are in general low, being the contamination of the final serving more likely to occur via bread, rather than via grilled chicken. The results show that the prevalence of MRSA at retail highly influences the probability of the final serving to be contaminated. However, this study also highlights the importance of keeping good hygiene practices during the household food manipulation for reducing the spread of MRSA. The provision of the model in a standardized data format will allow an easy incorporation of the developed model into a complete quantitative microbial risk assessment model that will greatly help to estimate the risk of consumer exposure to MRSA through the consumption of contaminated food.

摘要

耐甲氧西林金黄色葡萄球菌(MRSA)等多种耐药菌在零售肉类中的存在是当前公共卫生当局关注的问题之一。家庭食品制备过程中的细菌交叉污染和再污染可能在这些细菌的传播中发挥重要作用,因此可能导致严重的健康问题,尤其是对免疫功能低下的人。为了评估此类事件的重要性,开发了一个概率模型来估计从污染的生鸡肉通过手和厨房用具在德国家庭烧烤中制备一份(包括一片面包和一块烤鸡肉)的过程中交叉污染和再污染的可能性和程度以及 MRSA 的负担。该模型采用模块化设计,考虑了烧烤活动期间的时间顺序,并应用了蒙特卡罗模拟。使用了德国零售鸡肉中 MRSA 的流行率和负担的可用数据作为起点,并将其作为概率分布纳入模型。细菌在食物之间以及厨房用具(称为“物体”)之间转移的概率和程度以及食品制备过程中执行的操作(称为“动作”)指定了其发生的概率,并作为主要输入参数。模型是在 R 3.5.0 中建立的,并转换为标准化格式(FSKX 文件)。因此,代码可以方便地访问、评估、修改和重复用于不同的目的。本研究有助于量化消费者通过食用受污染的食物进入家庭厨房后接触 MRSA 的情况。即使德国零售鸡肉中 MRSA 的流行率和细菌负荷较低,由于交叉污染和再污染事件,耐药菌也可能到达消费者。结果表明,从污染的生鸡肉转移到最终服务的一个 CFU 的概率以及由于交叉污染和再污染事件转移的 MRSA 细菌数量通常较低,最终服务的污染更可能是通过面包,而不是烤鸡。结果表明,零售 MRSA 的流行率高度影响最终服务被污染的概率。然而,本研究还强调了在家庭食品处理过程中保持良好卫生习惯的重要性,以减少 MRSA 的传播。以标准化数据格式提供模型将允许将开发的模型轻松纳入完整的定量微生物风险评估模型中,这将极大地有助于通过食用污染食物来估计消费者接触 MRSA 的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3f6/6854851/af192e214dfc/MBO3-8-e900-g001.jpg

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