Masoumi Zavaryani Sara, Mirnejad Reza, Piranfar Vahhab, Moosazadeh Moghaddam Mehrdad, Sajjadi Nikta, Saeedi Somayyeh
Department of Microbiology, Islamic Azad University of Varamin-Pishva Branch, Tehran, Iran.
Molecular Biology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Iran J Pathol. 2020 Spring;15(2):96-105. doi: 10.30699/IJP.2020.114009.2236. Epub 2020 Feb 19.
BACKGROUND & OBJECTIVE: Enterococcus Species are the common cause of nosocomial infections, which are highly resistant to different antibiotics. Therefore, determination of their antibiotic susceptibility patterns and simultaneous resistance to antibiotics is important for better treatment strategies.
400 clinical isolates were collected from different hospitals in Tehran, Iran. Standard phenotypic-biochemical tests and PCR were used to identify the species. The antimicrobial susceptibility patterns and simultaneous resistance to selected antibiotics were determined by disk diffusion method according to the CLSI guidelines. All data analysis was performed using Python packages Scipy and Stats models.
According to the biochemical and PCR analyses, among 400 species, 72% of samples were , 10.75% , and 17.25% other species. The results determined antimicrobial resistances of these strains against gentamicin, vancomycin, fosfomycin trometamol, teicoplanin, and quinupristin/dalfopristin. Results confirmed a significant correlation between resistance to vancomycin and resistance to teicoplanin. This correlation remains significant when including only or species. We also found a negative correlation between resistance to teicoplanin and quinupristin/dalfopristin. Additionally, Quinupristin/dalfopristin was the least effective antibiotic while vancomycin and teicoplanin were the most effective ones.
Based on the results and association between simultaneous resistance to some antibiotics such as vancomycin and teicoplanin, in the case of antibiotic resistance, the choice of a second antibiotic can be very important which can lead to good or bad effects.
肠球菌属是医院感染的常见病因，对多种不同抗生素具有高度耐药性。因此，确定其抗生素敏感性模式以及同时对多种抗生素的耐药性对于制定更好的治疗策略至关重要。
从伊朗德黑兰的不同医院收集了400株临床分离株。采用标准的表型生化试验和聚合酶链反应（PCR）来鉴定菌种。根据美国临床和实验室标准协会（CLSI）指南，通过纸片扩散法测定抗菌药物敏感性模式以及对所选抗生素的同时耐药性。所有数据分析均使用Python软件包Scipy和统计模型进行。
根据生化分析和PCR分析，在400株菌种中，72%的样本为粪肠球菌，10.75%为屎肠球菌，17.25%为其他肠球菌属菌种。结果确定了这些菌株对庆大霉素、万古霉素、磷霉素钙、替考拉宁和奎奴普丁/达福普汀的抗菌耐药性。结果证实万古霉素耐药性与替考拉宁耐药性之间存在显著相关性。当仅纳入粪肠球菌或屎肠球菌菌种时，这种相关性仍然显著。我们还发现替考拉宁耐药性与奎奴普丁/达福普汀耐药性之间呈负相关。此外，奎奴普丁/达福普汀是最无效的抗生素，而万古霉素和替考拉宁是最有效的抗生素。
基于对某些抗生素如万古霉素和替考拉宁同时耐药性的结果及相关性，在出现抗生素耐药情况时，第二种抗生素的选择可能非常重要，这可能会产生好的或坏的影响。
