Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/9182
Title: Accurate detection of oxacillin-resistant Staphylococcus lugdunensis by use of agar dilution
Authors: -Yen Kao, Cheng
-Han Wu, Hsiao
Chang, Shih-Cheng
-Chung Lin, Lee
-Ping Liu, Tsui
-Jih Lu, Jang
Keywords: Agar dilution;
Disk diffusion;
Multilocus sequence typing;
Oxacillin resistance;
SCCmec;
Staphylococcus lugdunensis
Issue Date: 1-Apr-2022
Publisher: Elsevier Taiwan LLC
Abstract: Abstract Background/purpose: Staphylococcus lugdunensis is a Gram-positive coagulasenegative bacterium and is recognized as a critical pathogenic species recently. Here, we aimed to evaluate the cefoxitin disk diffusion (CDD), oxacillin agar dilution (OAD), and mecA PCR for detecting oxacillin-resistant S. lugdunensis (ORSL) isolates. Methods: Multilocus sequence typing (MLST) analysis was performed to determine the clonality of 117 S. lugdunensis isolates isolated between May 2009 and Jul 2014. CDD, OAD, and mecA PCR were used to identify oxacillin-resistant S. lugdunensis (ORSL). Results: MLST results showed that the most common sequence type (ST) of our S. lugdunensis isolates was ST6 (35.9%) followed by ST3 (28.2%), ST27 (17.9%), and ST4 (6.8%). CDD and OAD showed that 39 and 43 isolates were ORSL, respectively. 4 ST3 CDD-susceptible S. lugdunensis (OSSL) isolates had MIC values 4 for oxacillin. mecA PCR results showed that 43 OAD-resistant S. lugdunensis and 3 OAD-susceptible ST27 S. lugdunensis had the mecA gene. Therefore, OAD was used as the gold standard to evaluate the performance of CDD and mecA PCR for identifying ORSL. The overall sensitivity, specificity, and accuracy of CCD for ORSL detection was 90.7%, 100%, and 96.8%, respectively. The sensitivity, specificity, and accuracy of mecA PCR for identifying ORSL was 100%, 95.9%, and 97.44%, respectively.Conclusion: Our results indicate that OAD shows higher accuracy for ORSL detection compared with CDD and mecA PCR.
URI: http://localhost:8080/xmlui/handle/123456789/9182
ISSN: 1684-1182
Appears in Collections:VOL 55 NO 2 2022

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