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Comparison of Carbapenem Resistance Detected by the Bd Phoenix Automated System in Enterobacteriaceae Isolates E-Test Method

dc.authorwosid Arslan, Yusuf/Afv-1578-2022
dc.authorwosid Baran, Ali/Lnr-6591-2024
dc.contributor.author Celik, Mehmet
dc.contributor.author Sunnetcioglu, Mahmut
dc.contributor.author Guducuoglu, Huseyin
dc.contributor.author Arslan, Yusuf
dc.contributor.author Akyuz, Sumeyye
dc.contributor.author Baran, Ali Irfan
dc.date.accessioned 2025-05-10T17:36:59Z
dc.date.available 2025-05-10T17:36:59Z
dc.date.issued 2022
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp [Celik, Mehmet] Harran Univ, Med Fac Hosp, Infect Dis & Clin Microbiol Dept, Sanliurfa, Turkey; [Sunnetcioglu, Mahmut; Baran, Ali Irfan] Van Yuzuncu Yil Univ, Med Fac, Infect Dis & Clin Microbiol Dept, Van, Turkey; [Guducuoglu, Huseyin] Van Yuzuncu Yil Univ, Med Fac, Med Microbiol Dept, Van, Turkey; [Arslan, Yusuf] Batman Training & Res Hosp, Infect Dis & Clin Microbiol Dept, Batman, Turkey; [Akyuz, Sumeyye] Erzincan Univ, Mengucek Gazi Training & Res Hosp, Med Microbiol Dept, Erzincan, Turkey en_US
dc.description.abstract Objective: Automatic identification and antimicrobial susceptibility systems are frequently used to identify clinical isolates in hospitalized patients, but mistakes in these systems can lead to potentially devastating treatment failures for patients. Therefore, the "Centers for Disease Control and Prevention (CDC)" recommends confirming all Carbapenem-resistant and low-susceptibility isolates with a different method. The aim of this study is to compare the Carbapenem susceptibility results of isolates reported as Carbapenem-resistant Enterobacteriaceae according to the BD Phoenix 100 automated system with the E-test method. Materials and Methods: The study included 70 strains of Carbapenem-resistant Enterobacteriaceae members which were isolated and grown from several types of clinical samples in the Medical Microbiology Laboratory. Conventional methods (Gram stain, negative oxidase test) and the BD Phoenix 100 automated system were used to identify the isolates. The susceptibility of all strains to imipenem, ertapenem and meropenem was investigated by E-test method. Automated system results and E-test results were compared. Results: The frequency distribution of all isolated bacterial strains comprised K. pneumoniae in 56 (80%) of the samples included in the study. The automated system test results were correlated with the results of the E-test at a rate of 96.1 % for the imipenem-resistant strains, 84.3% for the meropenem-resistant strains, 84.1% for the ertapenem-resistant strains Conclusions: Automated systems are frequently used in microbiology laboratories to identify isolates. However, automated systems can show a high error rate against some antimicrobials. For this reason, comparing the results of automated system test results with tests such as E-test is very important to prevent both treatment failures and inappropriate antibiotic use that may occur on a patient basis. en_US
dc.description.sponsorship Yuzuncu Yil University Research Fund [93VF-219] en_US
dc.description.sponsorship This work was supported by the Yuzuncu Yil University Research Fund as project number 93VF-219. en_US
dc.description.woscitationindex Emerging Sources Citation Index
dc.identifier.doi 10.29333/ejgm/116
dc.identifier.issn 2516-3507
dc.identifier.issue 3 en_US
dc.identifier.scopusquality Q1
dc.identifier.uri https://doi.org/10.29333/ejgm/116
dc.identifier.uri https://hdl.handle.net/20.500.14720/14223
dc.identifier.volume 19 en_US
dc.identifier.wos WOS:000752334300002
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Modestum Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Enterobacteriaceae en_US
dc.subject E-Test en_US
dc.subject Carbapenemase en_US
dc.title Comparison of Carbapenem Resistance Detected by the Bd Phoenix Automated System in Enterobacteriaceae Isolates E-Test Method en_US
dc.type Article en_US

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