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手机作为医院潜在病原体的媒介:微生物组分析揭示隐藏的污染物。

Mobile phones as fomites for potential pathogens in hospitals: microbiome analysis reveals hidden contaminants.

机构信息

Applied Biology Research Group, The University of South Wales, Pontypridd, UK.

Applied Biology Research Group, The University of South Wales, Pontypridd, UK.

出版信息

J Hosp Infect. 2020 Feb;104(2):207-213. doi: 10.1016/j.jhin.2019.09.010. Epub 2019 Oct 1.

Abstract

BACKGROUND

Smartphones used in clinical settings harbour potentially pathogenic bacteria, and this may pose an infection risk. Previous studies have relied on culture-based methods.

AIM

To characterize the quantity and diversity of microbial contamination of hospital staff smartphones using culture-dependent and culture-independent methods; to determine the prevalence of antibiotic-resistant potential pathogens; to compare microbial communities of hospital staff and control group phones.

METHODS

Smartphones of 250 hospital staff and 191 control group participants were swabbed. The antibiotic resistance profile of Staphylococcus aureus and Enterococcus isolates was determined. Swabs were pooled into groups according to the hospital area staff worked in, and DNA was extracted. The microbial community of the phone was characterized using an Illumina MiSeq metabarcoding pipeline.

FINDINGS

Almost all (99.2%) of hospital staff smartphones were contaminated with potential pathogens, and bacterial colony forming units (CFUs) were significantly higher on hospital phones than in the control group. Meticillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE) were only detected on hospital mobile phones. Metabarcoding revealed a far greater abundance of Gram-negative contaminants, and much greater diversity, than culture-based methods. Bacillus spp. were significantly more abundant in the hospital group.

CONCLUSION

This study reinforces the need to consider infection-control policies to mitigate the potential risks associated with the increased use of smartphones in clinical environments, and highlights the limitations of culture-based methods for environmental swabbing.

摘要

背景

临床环境中使用的智能手机可能藏匿有潜在的致病性细菌,从而带来感染风险。既往研究依赖于培养为基础的方法。

目的

使用依赖和不依赖培养的方法来描绘医院工作人员智能手机微生物污染的数量和多样性;确定具有抗生素耐药潜能的潜在病原体的流行率;比较医院工作人员和对照组手机的微生物群落。

方法

对 250 名医院工作人员和 191 名对照组参与者的智能手机进行拭子采样。测定金黄色葡萄球菌和肠球菌分离株的抗生素耐药谱。根据工作人员工作的医院区域将拭子分组并提取 DNA。使用 Illumina MiSeq 宏条形码分析方案来描述手机的微生物群落。

发现

几乎所有(99.2%)医院工作人员的智能手机都被潜在病原体污染,且医院手机上的细菌集落形成单位(CFU)显著高于对照组。耐甲氧西林金黄色葡萄球菌(MRSA)和万古霉素耐药肠球菌(VRE)仅在医院手机上检测到。宏条形码显示,革兰氏阴性污染物的丰度远远高于基于培养的方法,且多样性也更高。芽孢杆菌属的丰度在医院组中显著更高。

结论

本研究强调了需要考虑感染控制政策,以减轻与在临床环境中日益增加使用智能手机相关的潜在风险,并突出了基于培养的方法对环境拭子采样的局限性。

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