Furlaneto-Maia Luciana, Rocha Kátia Real, Siqueira Vera Lúcia Dias, Furlaneto Márcia Cristina
Technological Federal University of Paraná, Brazil, Technological Federal University of Paraná, Brazil.
Department of Microbiology, State University at Londrina, Paraná, Brazil, Department of Microbiology, State University at Londrina, Paraná, Brazil.
Rev Inst Med Trop Sao Paulo. 2014 Mar-Apr;56(2):97-103. doi: 10.1590/S0036-46652014000200002.
Enterococci are increasingly responsible for nosocomial infections worldwide. This study was undertaken to compare the identification and susceptibility profile using an automated MicrosScan system, PCR-based assay and disk diffusion assay of Enterococcus spp. We evaluated 30 clinical isolates of Enterococcus spp. Isolates were identified by MicrosScan system and PCR-based assay. The detection of antibiotic resistance genes (vancomycin, gentamicin, tetracycline and erythromycin) was also determined by PCR. Antimicrobial susceptibilities to vancomycin (30 µg), gentamicin (120 µg), tetracycline (30 µg) and erythromycin (15 µg) were tested by the automated system and disk diffusion method, and were interpreted according to the criteria recommended in CLSI guidelines. Concerning Enterococcus identification the general agreement between data obtained by the PCR method and by the automatic system was 90.0% (27/30). For all isolates of E. faecium and E. faecalis we observed 100% agreement. Resistance frequencies were higher in E. faecium than E. faecalis. The resistance rates obtained were higher for erythromycin (86.7%), vancomycin (80.0%), tetracycline (43.35) and gentamicin (33.3%). The correlation between disk diffusion and automation revealed an agreement for the majority of the antibiotics with category agreement rates of > 80%. The PCR-based assay, the van(A) gene was detected in 100% of vancomycin resistant enterococci. This assay is simple to conduct and reliable in the identification of clinically relevant enterococci. The data obtained reinforced the need for an improvement of the automated system to identify some enterococci.
肠球菌在全球范围内导致医院感染的情况日益增多。本研究旨在比较使用自动化MicroScan系统、基于PCR的检测方法和纸片扩散法对肠球菌属进行鉴定和药敏分析的情况。我们评估了30株肠球菌属临床分离株。通过MicroScan系统和基于PCR的检测方法对分离株进行鉴定。还通过PCR检测抗生素耐药基因(万古霉素、庆大霉素、四环素和红霉素)。通过自动化系统和纸片扩散法检测对万古霉素(30μg)、庆大霉素(120μg)、四环素(30μg)和红霉素(15μg)的药敏情况,并根据CLSI指南推荐的标准进行判读。关于肠球菌的鉴定,PCR方法和自动系统获得的数据总体一致性为90.0%(27/30)。对于所有粪肠球菌和屎肠球菌分离株,我们观察到一致性为100%。屎肠球菌的耐药频率高于粪肠球菌。获得的耐药率红霉素(86.7%)、万古霉素(80.0%)、四环素(43.3%)和庆大霉素(33.3%)较高。纸片扩散法和自动化方法之间的相关性显示,大多数抗生素的类别一致率>80%。基于PCR的检测方法在100%的耐万古霉素肠球菌中检测到van(A)基因。该检测方法操作简单,在鉴定临床相关肠球菌方面可靠。获得的数据强化了改进自动化系统以鉴定某些肠球菌的必要性。