Cargando…
155. Public Health Action-based System for Tracking and Responding to U.S. candida Drug Resistance: AR Lab Network, 2016–2019
BACKGROUND: Many U.S. clinical laboratories lack capacity to definitively identify fungi or perform antifungal susceptibility testing (AFST). To expand testing access, CDC’s Antibiotic Resistance Laboratory Network (AR Lab Network) provides Candida species identification and AFST to U.S. facilities...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776543/ http://dx.doi.org/10.1093/ofid/ofaa439.465 |
_version_ | 1783630708845051904 |
---|---|
author | Forsberg, Kaitlin Lyman, Meghan Chaturvedi, Sudha Schneider, Emily C Fischer, Jill Baynham, Dorothy F Dunbar, Denise F Plehn, Michele Podzorski, Diane Gumbis, Stephanie Sievert, Dawn Jackson, Brendan R Lockhart, Shawn R Berkow, Elizabeth L |
author_facet | Forsberg, Kaitlin Lyman, Meghan Chaturvedi, Sudha Schneider, Emily C Fischer, Jill Baynham, Dorothy F Dunbar, Denise F Plehn, Michele Podzorski, Diane Gumbis, Stephanie Sievert, Dawn Jackson, Brendan R Lockhart, Shawn R Berkow, Elizabeth L |
author_sort | Forsberg, Kaitlin |
collection | PubMed |
description | BACKGROUND: Many U.S. clinical laboratories lack capacity to definitively identify fungi or perform antifungal susceptibility testing (AFST). To expand testing access, CDC’s Antibiotic Resistance Laboratory Network (AR Lab Network) provides Candida species identification and AFST to U.S. facilities for clinical and public health purposes. We describe the first three years of Candida AR Lab Network resistance data. METHODS: Isolates from any body site with species identification and AFST performed July 2016–June 2019 are included. Submissions were based on clinical and public health need. Patients may have multiple isolates. The 7 AR Lab Network regional laboratories used matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) or DNA sequencing for species identification. AFST was performed using broth microdilution for azoles and echinocandins (anidulafungin and micafungin) and Etest for amphotericin B. This analysis focuses on non-albicans Candida species with Clinical and Laboratory Standards Institute M60 minimum inhibitory concentration breakpoints and C. auris, which has CDC-proposed tentative breakpoints. RESULTS: Participation increased from healthcare facilities from 2 states submitting in 2016 to 35 states in 2019. Species identification was performed on 5,234 non-albicans isolates. AFST was performed on 4,222 (81%) isolates, including 2,395 C. glabrata, 815 C. auris, 267 C. parapsilosis, 125 C. tropicalis, 35 C. guilliermondii, and 32 C. krusei. Of isolates with AFST and body site indicated, 22% (900/4,102) were from blood. We found 85% of C. auris, 8% of C. glabrata, and 5% of C. parapsilosis isolates were resistant to azoles; 33% of C. auris isolates were resistant to amphotericin B; and 2% of C. glabrata, 1% of C. auris, and 1% of C. parapsilosis isolates were resistant to echinocandins. Although intrinsically resistant to fluconazole, C. krusei isolates were not resistant to voriconazole. Multidrug resistance was present in 32% of C. auris and 1% of C. glabrata isolates. CONCLUSION: AR Lab Network has expanded access to rapid Candida testing, including AFST, and provides real-time surveillance. Results can be used to detect emerging species and resistance and guide public health action and healthcare practices. DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-7776543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77765432021-01-07 155. Public Health Action-based System for Tracking and Responding to U.S. candida Drug Resistance: AR Lab Network, 2016–2019 Forsberg, Kaitlin Lyman, Meghan Chaturvedi, Sudha Schneider, Emily C Fischer, Jill Baynham, Dorothy F Dunbar, Denise F Plehn, Michele Podzorski, Diane Gumbis, Stephanie Sievert, Dawn Jackson, Brendan R Lockhart, Shawn R Berkow, Elizabeth L Open Forum Infect Dis Poster Abstracts BACKGROUND: Many U.S. clinical laboratories lack capacity to definitively identify fungi or perform antifungal susceptibility testing (AFST). To expand testing access, CDC’s Antibiotic Resistance Laboratory Network (AR Lab Network) provides Candida species identification and AFST to U.S. facilities for clinical and public health purposes. We describe the first three years of Candida AR Lab Network resistance data. METHODS: Isolates from any body site with species identification and AFST performed July 2016–June 2019 are included. Submissions were based on clinical and public health need. Patients may have multiple isolates. The 7 AR Lab Network regional laboratories used matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) or DNA sequencing for species identification. AFST was performed using broth microdilution for azoles and echinocandins (anidulafungin and micafungin) and Etest for amphotericin B. This analysis focuses on non-albicans Candida species with Clinical and Laboratory Standards Institute M60 minimum inhibitory concentration breakpoints and C. auris, which has CDC-proposed tentative breakpoints. RESULTS: Participation increased from healthcare facilities from 2 states submitting in 2016 to 35 states in 2019. Species identification was performed on 5,234 non-albicans isolates. AFST was performed on 4,222 (81%) isolates, including 2,395 C. glabrata, 815 C. auris, 267 C. parapsilosis, 125 C. tropicalis, 35 C. guilliermondii, and 32 C. krusei. Of isolates with AFST and body site indicated, 22% (900/4,102) were from blood. We found 85% of C. auris, 8% of C. glabrata, and 5% of C. parapsilosis isolates were resistant to azoles; 33% of C. auris isolates were resistant to amphotericin B; and 2% of C. glabrata, 1% of C. auris, and 1% of C. parapsilosis isolates were resistant to echinocandins. Although intrinsically resistant to fluconazole, C. krusei isolates were not resistant to voriconazole. Multidrug resistance was present in 32% of C. auris and 1% of C. glabrata isolates. CONCLUSION: AR Lab Network has expanded access to rapid Candida testing, including AFST, and provides real-time surveillance. Results can be used to detect emerging species and resistance and guide public health action and healthcare practices. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2020-12-31 /pmc/articles/PMC7776543/ http://dx.doi.org/10.1093/ofid/ofaa439.465 Text en © The Author 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Poster Abstracts Forsberg, Kaitlin Lyman, Meghan Chaturvedi, Sudha Schneider, Emily C Fischer, Jill Baynham, Dorothy F Dunbar, Denise F Plehn, Michele Podzorski, Diane Gumbis, Stephanie Sievert, Dawn Jackson, Brendan R Lockhart, Shawn R Berkow, Elizabeth L 155. Public Health Action-based System for Tracking and Responding to U.S. candida Drug Resistance: AR Lab Network, 2016–2019 |
title | 155. Public Health Action-based System for Tracking and Responding to U.S. candida Drug Resistance: AR Lab Network, 2016–2019 |
title_full | 155. Public Health Action-based System for Tracking and Responding to U.S. candida Drug Resistance: AR Lab Network, 2016–2019 |
title_fullStr | 155. Public Health Action-based System for Tracking and Responding to U.S. candida Drug Resistance: AR Lab Network, 2016–2019 |
title_full_unstemmed | 155. Public Health Action-based System for Tracking and Responding to U.S. candida Drug Resistance: AR Lab Network, 2016–2019 |
title_short | 155. Public Health Action-based System for Tracking and Responding to U.S. candida Drug Resistance: AR Lab Network, 2016–2019 |
title_sort | 155. public health action-based system for tracking and responding to u.s. candida drug resistance: ar lab network, 2016–2019 |
topic | Poster Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776543/ http://dx.doi.org/10.1093/ofid/ofaa439.465 |
work_keys_str_mv | AT forsbergkaitlin 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT lymanmeghan 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT chaturvedisudha 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT schneideremilyc 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT fischerjill 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT baynhamdorothyf 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT dunbardenisef 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT plehnmichele 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT podzorskidiane 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT gumbisstephanie 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT sievertdawn 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT jacksonbrendanr 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT lockhartshawnr 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 AT berkowelizabethl 155publichealthactionbasedsystemfortrackingandrespondingtouscandidadrugresistancearlabnetwork20162019 |