scholarly journals Misidentification of Candida auris by RapID Yeast Plus, a Commercial, Biochemical Enzyme-Based Manual Rapid Identification System

2018 ◽  
Vol 56 (5) ◽  
Author(s):  
Mary Snayd ◽  
Feliciano Dias ◽  
Raymond W. Ryan ◽  
Donna Clout ◽  
David B. Banach
2021 ◽  
Vol 7 (6) ◽  
pp. 433
Author(s):  
Ahmad Ibrahim ◽  
Lucie Peyclit ◽  
Rim Abdallah ◽  
Saber Khelaifia ◽  
Amanda Chamieh ◽  
...  

Candida auris is an emerging multidrug-resistant yeast causing nosocomial infections and associated with high mortality in immunocompromised patients. Rapid identification and characterisation are necessary for diagnosis and containing its spread. In this study, we present a selective culture medium for all C. auris clades. This medium is sensitive with a limit of detection ranging between 101 and 102 CFU/mL. The 100% specificity of SCA (specific C. auris) medium is confirmed on a set of 135 Candida strains, 50 bacterial species and 200 human stool samples. Thus, this medium specifically selects for C. auris isolation from clinical samples, allowing the latter to study its phenotypic profile.


Author(s):  
Andrew M Borman ◽  
Mark Fraser ◽  
Elizabeth M Johnson

Abstract   Candida auris is a serious nosocomial health risk, with widespread outbreaks in hospitals worldwide. Successful management of such outbreaks has depended upon intensive screening of patients to identify those that are colonized and the subsequent isolation or cohorting of affected patients to prevent onward transmission. Here we describe the evaluation of a novel chromogenic agar, CHROMagarTM Candida Plus, for the specific identification of Candida auris isolates from patient samples. Candida auris colonies on CHROMagarTM Candida Plus are pale cream with a distinctive blue halo that diffuses into the surrounding agar. Of over 50 different species of Candida and related genera that were cultured in parallel, only the vanishingly rare species Candida diddensiae gave a similar appearance. Moreover, both the rate of growth and number of colonies of C. auris recovered from swabs of pure and mixed Candida species were substantially increased on CHROMagarTM Candida Plus agar when compared with growth on the traditional mycological isolation medium, Sabouraud dextrose agar. Taken together, the present data suggest that CHROMagarTM Candida Plus agar is an excellent alternative to current conventional mycological media for the screening of patients who are potentially colonized/infected with Candida auris, can be reliably used to identify this emerging fungal pathogen, and should be tested in a clinical setting. Lay Abstract Candida auris is a novel pathogenic yeast that has been associated with large hospital outbreaks across several continents. Affected patients become colonized, predominantly on the skin, with large quantities of C. auris which they then shed into the hospital environment. Identification of C. auris is challenging using routine laboratory methods, and time consuming when patients are colonized with a mixture of different Candida species. Here we demonstrate that a novel chromogenic agar, CHROMagarTM Candida Plus, permits the rapid differentiation of C. auris from a wide range of other yeast species and is potentially ideally suited to screening of patients that are suspected of being colonized or infected with this medically important yeast.


2019 ◽  
Vol 57 (11) ◽  
Author(s):  
Georges Ambaraghassi ◽  
Philippe J. Dufresne ◽  
Simon F. Dufresne ◽  
Émilie Vallières ◽  
José F. Muñoz ◽  
...  

ABSTRACT Candida auris is an emerging multidrug-resistant yeast that has been systematically incorrectly identified by phenotypic methods in clinical microbiology laboratories. The Vitek 2 automated identification system (bioMérieux) recently included C. auris in its database (version 8.01). We evaluated the performance of the Vitek 2 YST ID card to identify C. auris and related species. A panel of 44 isolates of Candida species (C. auris, n = 35; Candida haemulonii, n = 5; Candida duobushaemulonii, n = 4) were tested by three different hospital-based microbiology laboratories. Among 35 isolates of C. auris, Vitek 2 yielded correct identification in an average of 52% of tested samples. Low-discrimination (LD) results with an inability to distinguish between C. auris, C. duobushaemulonii, and Candida famata were obtained in an average of 27% of samples. Incorrect identification results were obtained in an average of 21% of samples, the majority (91%) of which were reported as C. duobushaemulonii and the remaining 9% of which were reported as Candida lusitaniae/C. duobushaemulonii. The proportion of correct identification was not statistically different across different centers (P = 0.78). Stratification by genetic clades demonstrated that 100% (n = 8) of the strains of the South American clade were correctly identified compared to 7% (n = 10) and 0% (n = 4) from the African and East Asian clades, respectively. None of the non-auris Candida strains (n = 9) were incorrectly identified as C. auris. Our results show that the Vitek 2 (version 8.01) yeast identification system has a limited ability to correctly identify C. auris. These data suggest that an identification result for C. duobushaemulonii should warrant further testing to rule out C. auris. The overall performance of the Vitek 2 seems to differ according to C. auris genetic clade, with the South American isolates yielding the most accurate results.


2016 ◽  
Vol 2016 ◽  
pp. 1-9
Author(s):  
Debra E. Huffman ◽  
Yulia M. Serebrennikova ◽  
Jennifer M. Smith ◽  
Alison Roth ◽  
Jack N. Lindon ◽  
...  

Optics based technologies are being advanced by many diagnostic companies around the globe. This resurgence is being driven by several factors including novel materials, enhanced computer power, nonlinear optics, and advances in algorithmic and statistical analysis. This study expands on a previous paper that evaluated the capability of a reagent-free optical profiling platform technology that used multiwavelength transmission spectroscopy to identify bacterial pathogens from pure culture. This study combines multiwavelength angular scattering with transmission based analysis into a single algorithm that will identify bacterial pathogens. Six predominant organisms,S. aureus, E. coli,K. pneumoniaeandP. aeruginosa,E. faecalis,and coagulase negativeStaphylococcus, were analyzed from a total of 753 clinical isolates received from three large community hospital systems. The bacterial identification method used for comparison in this study was the Vitek-2 (bioMerieux) which utilizes a biochemically based identification system. All of the clinical isolates received were blinded as to their identification until completion of the optical analysis. Sensitivities ranged from 87.7 to 94.6% with specificities ranging from 97.2 to 99.9% indicating that optical profiling is a powerful and exciting new technology that could be developed for the rapid identification of pathogens without the use of chemical reagents.


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