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VERIFICATION OF THE AUTOMATED ANTIFUNGAL SUSCEPTIBILITY TESTING SYSTEM AT NGUYEN TRI PHUONG HOSPITAL
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Abstract
Introduction: Nowaday, automated systems for antifungal susceptibility testing have developed to improve patient care. Nevertheless, the rigorous validation of these systems is essential to ensure their clinical utility and to mitigate the risks associated with the emergence of drug-resistant fungal strains. Objective: Determine the similarity and repeatability of the Sentitire Aris YO10 automated antifungal susceptibility testing system. Subjects and methods: An experimental study was conducted to perform antifungal susceptibility testing on common clinical fungal isolates and standard ATCC fungal strains using the automated Sensititre Aris YO10 system (Thermofisher, USA). Nine antifungal agents were tested against 5 different species of fungi in the Candida spp. group. Aspergillus spp. and Crytococcus spp. were not included in the study due to the lack of reference results. The results were compared with those obtained from antifungal susceptibility testing using the microdilution method on the automated Vitek 2 system (BioMerieux, France). The criteria for agreement and reproducibility followed the guidelines of the Clinical and Laboratory Standards Institute (CLSI M52-ED1). Results: All antifungal susceptibility testing results on the Sensititre Aris YO10 system met the validation criteria. Categorical agreement was 93.5% and essential agreement was 96.8% for Micafungin, Caspofungin, Voriconazole, Fluconazole, and Amphotericin B. A major error was observed between Caspofungin and Candida glabrata. The minor error rate was 5.8% and occurred with most of the antifungal agents compared (except Fluconazole) against C. albicans, C. tropicalis, C. krusei, and C. glabrata. The reproducibility of all nine antifungal agents for the five test strains was 100%. Conclusions: The Sensititre Aris YO10 system is a reliable tool for conducting antifungal susceptibility testing on common pathogenic fungi. Its efficiency and adaptability make it well-suited for integration into routine clinical microbiology laboratory workflows in hospitals.
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Keywords
Automated antifungal susceptibility testing, Candida spp.
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