Cargando…
Identification and antifungal susceptibility profiles of Kodamaea ohmeri based on a seven-year multicenter surveillance study
BACKGROUND: Kodamaea ohmeri has been a rare fungal pathogen in the past decades but is now becoming more common in various invasive fungal diseases, with high mortality. There are limited data on the occurrence and distribution of K. ohmeri. METHODS: Sixty-two K. ohmeri isolates collected from 24 ho...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572745/ https://www.ncbi.nlm.nih.gov/pubmed/31354314 http://dx.doi.org/10.2147/IDR.S211033 |
_version_ | 1783427709425156096 |
---|---|
author | Zhou, Menglan Yu, Shuying Kudinha, Timothy Xiao, Meng Wang, He Xu, Yingchun Zhao, Hongmei |
author_facet | Zhou, Menglan Yu, Shuying Kudinha, Timothy Xiao, Meng Wang, He Xu, Yingchun Zhao, Hongmei |
author_sort | Zhou, Menglan |
collection | PubMed |
description | BACKGROUND: Kodamaea ohmeri has been a rare fungal pathogen in the past decades but is now becoming more common in various invasive fungal diseases, with high mortality. There are limited data on the occurrence and distribution of K. ohmeri. METHODS: Sixty-two K. ohmeri isolates collected from 24 hospitals in China over a 7-year period were studied. Performance of three phenotypic methods in the identification of this organism was assessed against a gold standard, 26S rDNA sequencing. Original identification results submitted by the participating local hospitals were reviewed. The Sensititre YeastOne YO10 (SYY) was evaluated in determining the in vitro antifungal susceptibilities using standard broth microdilution method (BMD) as a reference, and essential agreement (EA) was calculated. RESULTS: Accurate species identification was achieved in 82.3% and 96.8% of the cases by Vitek 2 Compact and Vitek mass spectrometry (MS), respectively. For Bruker MS, 12.9% and 96.8% of the isolates were correctly identified to species level using the direct transfer and protein extraction methods, respectively. Only 29 (46.8%) isolates were initially correctly identified as K. ohmeri by the local hospitals. The highest misidentification rate (100%, 16/16) was observed in CHROMagar. According to BMD, the highest MIC(90) was seen in fluconazole (8 μg/mL), followed by 1 μg/mL for micafungin, caspofungin, 5-fluorocytosine, and amphotericin B, 0.5 μg/mL for itraconazole, 0.25 μg/mL for posaconazole and voriconazole. Significant differences in EAs for different drugs were observed, ranging from 95.2% for amphotericin B to 22.6% for itraconazole between SYY and BMD. CONCLUSION: Our study emphasizes the need for accurate identification of clinical K. ohmeri isolates and the importance of validating antifungal susceptibility by standard BMD. |
format | Online Article Text |
id | pubmed-6572745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-65727452019-07-26 Identification and antifungal susceptibility profiles of Kodamaea ohmeri based on a seven-year multicenter surveillance study Zhou, Menglan Yu, Shuying Kudinha, Timothy Xiao, Meng Wang, He Xu, Yingchun Zhao, Hongmei Infect Drug Resist Original Research BACKGROUND: Kodamaea ohmeri has been a rare fungal pathogen in the past decades but is now becoming more common in various invasive fungal diseases, with high mortality. There are limited data on the occurrence and distribution of K. ohmeri. METHODS: Sixty-two K. ohmeri isolates collected from 24 hospitals in China over a 7-year period were studied. Performance of three phenotypic methods in the identification of this organism was assessed against a gold standard, 26S rDNA sequencing. Original identification results submitted by the participating local hospitals were reviewed. The Sensititre YeastOne YO10 (SYY) was evaluated in determining the in vitro antifungal susceptibilities using standard broth microdilution method (BMD) as a reference, and essential agreement (EA) was calculated. RESULTS: Accurate species identification was achieved in 82.3% and 96.8% of the cases by Vitek 2 Compact and Vitek mass spectrometry (MS), respectively. For Bruker MS, 12.9% and 96.8% of the isolates were correctly identified to species level using the direct transfer and protein extraction methods, respectively. Only 29 (46.8%) isolates were initially correctly identified as K. ohmeri by the local hospitals. The highest misidentification rate (100%, 16/16) was observed in CHROMagar. According to BMD, the highest MIC(90) was seen in fluconazole (8 μg/mL), followed by 1 μg/mL for micafungin, caspofungin, 5-fluorocytosine, and amphotericin B, 0.5 μg/mL for itraconazole, 0.25 μg/mL for posaconazole and voriconazole. Significant differences in EAs for different drugs were observed, ranging from 95.2% for amphotericin B to 22.6% for itraconazole between SYY and BMD. CONCLUSION: Our study emphasizes the need for accurate identification of clinical K. ohmeri isolates and the importance of validating antifungal susceptibility by standard BMD. Dove 2019-06-12 /pmc/articles/PMC6572745/ /pubmed/31354314 http://dx.doi.org/10.2147/IDR.S211033 Text en © 2019 Zhou et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Zhou, Menglan Yu, Shuying Kudinha, Timothy Xiao, Meng Wang, He Xu, Yingchun Zhao, Hongmei Identification and antifungal susceptibility profiles of Kodamaea ohmeri based on a seven-year multicenter surveillance study |
title | Identification and antifungal susceptibility profiles of Kodamaea ohmeri based on a seven-year multicenter surveillance study |
title_full | Identification and antifungal susceptibility profiles of Kodamaea ohmeri based on a seven-year multicenter surveillance study |
title_fullStr | Identification and antifungal susceptibility profiles of Kodamaea ohmeri based on a seven-year multicenter surveillance study |
title_full_unstemmed | Identification and antifungal susceptibility profiles of Kodamaea ohmeri based on a seven-year multicenter surveillance study |
title_short | Identification and antifungal susceptibility profiles of Kodamaea ohmeri based on a seven-year multicenter surveillance study |
title_sort | identification and antifungal susceptibility profiles of kodamaea ohmeri based on a seven-year multicenter surveillance study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572745/ https://www.ncbi.nlm.nih.gov/pubmed/31354314 http://dx.doi.org/10.2147/IDR.S211033 |
work_keys_str_mv | AT zhoumenglan identificationandantifungalsusceptibilityprofilesofkodamaeaohmeribasedonasevenyearmulticentersurveillancestudy AT yushuying identificationandantifungalsusceptibilityprofilesofkodamaeaohmeribasedonasevenyearmulticentersurveillancestudy AT kudinhatimothy identificationandantifungalsusceptibilityprofilesofkodamaeaohmeribasedonasevenyearmulticentersurveillancestudy AT xiaomeng identificationandantifungalsusceptibilityprofilesofkodamaeaohmeribasedonasevenyearmulticentersurveillancestudy AT wanghe identificationandantifungalsusceptibilityprofilesofkodamaeaohmeribasedonasevenyearmulticentersurveillancestudy AT xuyingchun identificationandantifungalsusceptibilityprofilesofkodamaeaohmeribasedonasevenyearmulticentersurveillancestudy AT zhaohongmei identificationandantifungalsusceptibilityprofilesofkodamaeaohmeribasedonasevenyearmulticentersurveillancestudy |