155. Public Health Action-based System for Tracking and Responding to U.S. candida Drug Resistance: AR Lab Network, 2016–2019
Author(s) -
Kaitlin Forsberg,
Meghan Lyman,
Sudha Chaturvedi,
Emily Schneider,
Jill Fischer,
Dorothy F Baynham,
Denise Dunbar,
Michele Plehn,
Diane Podzorski,
Stephanie Gumbis,
Dawn Sievert,
Brendan R. Jackson,
Shawn R. Lockhart,
Elizabeth L. Berkow
Publication year - 2020
Publication title -
open forum infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.546
H-Index - 35
ISSN - 2328-8957
DOI - 10.1093/ofid/ofaa439.465
Subject(s) - candida auris , etest , microbiology and biotechnology , broth microdilution , anidulafungin , micafungin , medicine , clinical microbiology , amphotericin b , antifungal , biology , minimum inhibitory concentration , antibiotics
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
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