Yousefimashouf Milad, Yousefimashouf Rasoul, Alikhani Mohammad Sina, Hashemi Hamid, Karami Pezhman, Rahimi Zahra, Hosseini Seyed Mostafa
Department of Medical Laboratory Sciences, Faculty of Paramedical, Borujerd Branch, Islamic Azad University, Borujerd, Iran.
Research Center For Molecular Medicine, Hamadan University of Medicine Sciences, Hamadan, Iran.
New Microbes New Infect. 2023 Mar;52:101090. doi: 10.1016/j.nmni.2023.101090. Epub 2023 Jan 28.
During the Coronavirus Pandemic, the use of masks has increased significantly. The lack of control on hygiene protocols and the need to use PPE properly increases the spread of bacterial infection. The purpose of this study was to investigate the degree of contamination and frequency of bacterial species isolated from surgical and N95 masks used by hospital personnel.
A total number of 175 masks were collected from staff working in Sina hospital (Hamadan province, Iran) during the first six months of 2022. The bacterial contamination of masks were evaluated and identified using biochemical kits. Antimicrobial susceptibility testing of the isolates were done using Kirby-Bauer methods and MIC were assessed for each isolate against different disinfectants (Sodium hypochlorite 5%, Hydrogen Peroxide 3%, Ethanol 70% and Deconex).
Of 175 masks, 471 bacterial isolates were detected including 9 species. The most prevalent strain were (28%) followed by (20.8%) and (13.8%), while, and were the least frequent species with the rate of 3.8% and 1.2%, respectively. The results of MIC methods indicated that all 471 strains were resistant to ehtanol70% and sensitive to hydrogen peroxide 3%. Furthermore, the mean average of Deconex inhibitory effect is lower than Sodium hypochlorite 5%.
According to the results of this study, there was a high prevalence of and in hospital with a high resistance pattern against antibiotics especially Ampicillin and disinfectants.
在新冠疫情期间,口罩的使用显著增加。卫生协议缺乏管控以及正确使用个人防护装备的必要性增加了细菌感染的传播。本研究的目的是调查从医院工作人员使用的外科口罩和N95口罩中分离出的细菌种类的污染程度和频率。
2022年上半年,从伊朗哈马丹省西纳医院工作的人员那里共收集了175个口罩。使用生化试剂盒评估并鉴定口罩的细菌污染情况。使用 Kirby-Bauer 方法对分离株进行药敏试验,并针对不同消毒剂(5% 次氯酸钠、3% 过氧化氢、70% 乙醇和德康克斯)评估每个分离株的最低抑菌浓度(MIC)。
在175个口罩中,检测到471株细菌分离株,包括9个菌种。最常见的菌株是[具体菌种1](28%),其次是[具体菌种2](20.8%)和[具体菌种3](13.8%),而[具体菌种4]和[具体菌种5]是最不常见的菌种,发生率分别为3.8%和1.2%。MIC方法的结果表明,所有471株菌株对70%乙醇耐药,对3%过氧化氢敏感。此外,德康克斯的平均抑菌效果低于5%次氯酸钠。
根据本研究结果,医院中[具体菌种1]和[具体菌种2]的感染率很高,对包括氨苄青霉素在内的抗生素和消毒剂具有高度耐药性。