Candida species isolated from clinical samples in a tertiary hospital in Honduras: Where is Candida auris?
Background and Purpose: Infections by emerging and multiresistant Candida species are becoming more frequent throughout the world. This study aimed to describe Candida species in different wards of a tertiary hospital in Honduras. Materials and Methods: The prevalence of species within the C. albica...
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Published in: | Current medical mycology Vol. 8; no. 3; pp. 1 - 8 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Iran, Sari
Iranian Society of Medical Mycology
01-09-2022
Mazandaran University of Medical Sciences |
Subjects: | |
Online Access: | Get full text |
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Summary: | Background and Purpose: Infections by emerging and multiresistant Candida species are becoming more frequent throughout the world. This study aimed to describe Candida species in different wards of a tertiary hospital in Honduras.
Materials and Methods: The prevalence of species within the C. albicans complex was estimated using a molecular approach, and C. auris was investigated using a yeast poolbased DNA extraction method. In total, 328 yeast isolates were identified using phenotypic approaches. For the identification of species within the albicans complex, a molecular approach based on the size polymorphisms of the hpw1 gene was used. In addition, a technique was optimized based on DNA extraction in pools for the rapid identification of C. auris.
Results: A total of 11 species of Candida were identified in the hospital wards. C. albicans showed the highest number of isolates (52.4%). Within the C. albicans complex, C. albicans sensu stricto was the most common, followed by C. dubliniensis. However, C. auris was not found.
Conclusion: Reports on the distribution of Candida species in Honduras are limited; accordingly, the data from this study are of importance for a better understanding of their epidemiology. Moreover, a simple method was offered for the detection of C. auris that could help in its detection in low-resource settings. |
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ISSN: | 2423-3439 2423-3420 |
DOI: | 10.18502/cmm.8.3.11212 |