A high-throughput and rapid method for accurate identification of emerging multidrug-resistant Candida auris.


Journal

Mycoses
ISSN: 1439-0507
Titre abrégé: Mycoses
Pays: Germany
ID NLM: 8805008

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 04 02 2019
revised: 07 02 2019
accepted: 08 02 2019
pubmed: 26 2 2019
medline: 10 8 2019
entrez: 26 2 2019
Statut: ppublish

Résumé

Candida auris is an emerging multidrug-resistant yeast associated with invasive infection in healthcare settings. Recently, C auris cases in the United States have been detected in 11 states with the majority of cases in New York, New Jersey and Illinois. Rapid and accurate identification of C auris is critical for patient care and the implementation of public health measures to control the spread of infection. Our aim was to develop and validate a rapid DNA extraction method using the Roche MagNA Pure 96 instrument and a TaqMan real-time PCR assay for reliable, high-throughput identification of C auris. We evaluated 247 patient dermal swab samples previously analysed by culture/MALDI-TOF. The diagnostic sensitivity and specificity were 93.6% and 97.2%, respectively. The assay was highly reproducible with a detection limit of 1 C auris CFU/10 μL. A receiver operating characteristic curve analysis of the real-time PCR data showed an area of 0.982 under the curve, with a C

Identifiants

pubmed: 30801778
doi: 10.1111/myc.12907
doi:

Substances chimiques

DNA, Fungal 0

Types de publication

Evaluation Study Journal Article

Langues

eng

Pagination

513-518

Informations de copyright

Published 2019. This article is a U.S. Government work and is in the public domain in the USA.

Auteurs

Ausaf Ahmad (A)

Enhanced Capacity Surge Laboratory, Reagent and Diagnostic Services Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) Centers for Disease Control & Prevention (CDC), Atlanta, Georgia.

Jonathan E Spencer (JE)

Enhanced Capacity Surge Laboratory, Reagent and Diagnostic Services Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) Centers for Disease Control & Prevention (CDC), Atlanta, Georgia.

Shawn R Lockhart (SR)

Mycotic Diseases Branch, Division of Foodborne Waterborne and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) Centers for Disease Control & Prevention (CDC), Atlanta, Georgia.

Sabrina Singleton (S)

Mycotic Diseases Branch, Division of Foodborne Waterborne and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) Centers for Disease Control & Prevention (CDC), Atlanta, Georgia.

David J Petway (DJ)

Enhanced Capacity Surge Laboratory, Reagent and Diagnostic Services Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) Centers for Disease Control & Prevention (CDC), Atlanta, Georgia.

Dennis A Bagarozzi (DA)

Enhanced Capacity Surge Laboratory, Reagent and Diagnostic Services Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) Centers for Disease Control & Prevention (CDC), Atlanta, Georgia.

Owen T Herzegh (OT)

Enhanced Capacity Surge Laboratory, Reagent and Diagnostic Services Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) Centers for Disease Control & Prevention (CDC), Atlanta, Georgia.

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Classifications MeSH