Speciation and Antifungal Sensitivity Pattern of Candida by Automated Methods in Tertiary Care Hospital of Eastern Part of India

  • Dr. Nandita Sharma, Dr. Rajashree Panigrahy, Dr. Kundan Kumar Sahu

Abstract

Invasive candidiasis is leading factor of morbidity and mortality in immunocompromised patients and candidaemia is the most common clinical presentation of it; so,an early and accurate identification is a prerequisite need to be taken as an effective measure for the management of patients. The aim of our study was, to check for species distribution and antifungal sensitivity pattern by VITEK-2 automated system. A total of 74 candida isolates, were subjected to identification and antifungal susceptibility. Candida auris (32.4%) emerged as the predominant species followed by Candida parapsilosis (25.7%). Antifungal sensitivity pattern for C. auris was recorded nil in Vitek-2. But for other species Micafungin and Flucytosine have higher sensitivity (96%).

Published
2020-05-13
How to Cite
Dr. Nandita Sharma, Dr. Rajashree Panigrahy, Dr. Kundan Kumar Sahu. (2020). Speciation and Antifungal Sensitivity Pattern of Candida by Automated Methods in Tertiary Care Hospital of Eastern Part of India. International Journal of Advanced Science and Technology, 29(8s), 2692 - 2696. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/15191