Comparison of Auxacolor with API 20 C Aux in yeast identification

Willemsen, M; Breynaert, Johan; Lauwers, Sabine

doi:10.1111/j.1469-0691.1997.tb00628.x

Cited by 14 publications

(12 citation statements)

References 9 publications

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“…Also, growth at 37°C, which is one of the supplemental tests for identification with the AuxaColor system, could be impaired in species that are isolated following incubation of primary cultures at 28°C. This may explain the relatively low rates of correct identifications obtained in one study that tested yeast isolates from nail or skin specimens (37). In contrast, the API ID32C system, which generates a 10-digit analytical profile number as a consequence of the large number of tests included in the strip, should not require microscopic morphological examinations or other extra tests, which should be solely used exceptionally (42).…”

Section: Discussionmentioning

confidence: 85%

“…Most of the isolates were from Europe (17 of 26 studies [65.4%]), whereas 8 studies (30.8%) tested isolates from North or South America and 1 (3.8%) tested isolates from Asia; among the U.S. studies, one study also tested isolates from Australia. Almost all of studies included reference or type strains for quality control purposes or strains received for proficiency testing; these strains were excluded from the meta-analysis except for 5 studies (19.2%) in which they were not identifiable among the total isolates studied (37,45,47,49,53). According to the primary inclusion criterion, all 26 studies used clinical isolates, but the source of the isolates was known in only one-half of the studies (13 studies) (see Table S2 in the supplemental material).…”

Section: Resultsmentioning

confidence: 99%

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Are the Conventional Commercial Yeast Identification Methods Still Helpful in the Era of New Clinical Microbiology Diagnostics? A Meta-Analysis of Their Accuracy

et al. 2015

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Accurate identification of pathogenic species is important for early appropriate patient management, but growing diversity of infectious species/strains makes the identification of clinical yeasts increasingly difficult. Among conventional methods that are commercially available, the API ID32C, AuxaColor, and Vitek 2 systems are currently the most used systems in routine clinical microbiology. We performed a systematic review and meta-analysis to estimate and to compare the accuracy of the three systems, in order to assess whether they are still of value for the species-level identification of medically relevant yeasts. After adopting rigorous selection criteria, we included 26 published studies involving Candida and non-Candida yeasts that were tested with the API ID32C (674 isolates), AuxaColor (1,740 T he epidemiology of yeast infections, particularly those involving the bloodstream (i.e., fungemia) or other normally sterile sites, continues to evolve throughout the world (1), likely due to the diversity of susceptible hosts, including mainly patients undergoing transplantations or receiving treatment for underlying malignant diseases (2). Prophylactic use of antifungals has also contributed to alterations in the patterns of such infections, leading to increases in the incidence of non-albicans Candida species, compared to Candida albicans (3-6). Although the latter species is the most frequently isolated yeast in hospital settings (7), the emergence of less-common or "cryptic" non-albicans Candida species, as well as uncommon yeasts such as Rhodotorula, Geotrichum, Pichia, Malassezia, Saccharomyces, and cryptococci other than Cryptococcus neoformans (8), poses a threat due to their potential to develop antifungal resistance (9-12) or their intrinsically decreased susceptibility to one or more antifungal agents (13-15). As differences in antifungal drug susceptibilities can exist not only among genera but also among members of the same genus or species complex (8), accurate species identification is important for initiating early effective antifungal therapy, especially when susceptibility testing results are not promptly available.As simple, rapid, reliable alternatives to traditional methods based on the Wickerham assimilation/fermentation patterns (16), manual (e.g., AuxaColor [Bio-Rad, Marnes-la-Coquette, France]) and automated (i.e., Vitek 2 [bioMérieux, Marcy l'Etoile, France]) commercial identification systems are currently being used in clinical microbiology laboratories, but their ability to identify yeast isolates to the species level is dependent on the types and numbers of biochemical (carbohydrate/enzyme) substrates tested (17). Although with a limited database of only 26 taxa/species (updated to include 33 yeast species in a newer version of the system [AuxaColor 2], which was launched in 2002), the AuxaColor system uses colorimetric tests for assimilation substrates,

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Section: Discussionmentioning

confidence: 85%

Section: Resultsmentioning

confidence: 99%

Are the Conventional Commercial Yeast Identification Methods Still Helpful in the Era of New Clinical Microbiology Diagnostics? A Meta-Analysis of Their Accuracy

et al. 2015

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“…Other studies have reported almost similar results. [58][59][60][61] The standard phenotypic methods used to identify clinical isolates of Candida species are time-consuming and not appropriate for rapid, accurate and reliable identification. 7,62 In addition, these techniques rely on phenotypic expression that makes them potentially unreliable due to documented phenotypic switching of Candida species.…”

Section: Discussionmentioning

confidence: 99%

Species identification and antifungal susceptibility pattern ofCandidaisolates in cases of vulvovaginal candidiasis

ElFeky

Gohar

El-Seidi

et al. 2016

Alexandria Journal of Medicine

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Vulvovaginal candidiasis (VVC) remains one of the most common infections of the female genital tract. Correct identification of the isolated Candida species is essential to direct the empirical antifungal therapy. Objectives: This local study was conducted to identify the spectrum of Candida species associated with VVC using different phenotypic and genotypic methods and assess their antifungal susceptibility pattern. Materials and methods: High vaginal swabs were collected from 125 patients presenting with a clinical picture suggestive of VVC. Swabs were subjected to Gram-stain and culture on Sabouraud dextrose agar. Species identification of Candida isolates was done using phenotypic methods including germ tube test, Rice Tween-80 agar, Chrom ID (CAN2) agar and API 20C AUX, while PCR-RFLP was used as the gold standard method. Antifungal susceptibility testing was done using the disk diffusion method. Results: Vaginal swab cultures yielded Candida growth in 63 cases (50.4%). Candida albicans was the predominant isolated species (60.3%) while the most common non-albicans species was Candida glabrata (12.7%). Fortyfive (71.4%) and fifty-five (87.3%) Candida isolates were correctly speciated by Rice Tween-80 Agar and API 20C AUX, respectively, while fifty-seven isolates (90.5%) were correctly assigned into the 3 groups of yeasts identified by CAN2 agar. Amphotericin B was more effective than azoles against vaginal Candida isolates. Conclusion: C. albicans is the most common species associated with VVC. API 20C AUX was the most accurate phenotypic method for the proper identification of most Candida species whereas PCR-RFLP could properly confirm Candida species identification genotypically.

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“…11 Improved outcome for patients and reduction of the financial burden relies on early diagnosis. 12 Current routine laboratory practice for the identification of yeast from blood cultures has a turnaround time of 24-72 h. 13,14 As greater than 70% of Candida BSI isolates remain susceptible to fluconazole, 5,9,15 rapid identification could facilitate de-escalation from an echinocandin in a significant proportion of patients. Three methods that could be utilised are Gram's stain, AdvanDX Peptide Nucleic Acid Fluorescence In Situ Hybridisation Yeast Traffic Light system (PNA-FISH YTL) and the Bruker Sepsityper TM kit (Bruker Daltonik, Bremen, Germany) in combination with matrix-assisted laser desorption ionisation time of flight mass spectrometry (MALDI-TOF MS).…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of Gram's stain, PNA‐FISH and Sepsityper with MALDI‐TOF MS for the identification of yeast direct from positive blood cultures

Gorton

Ramnarain

Barker

et al. 2014

Mycoses

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Fungaemia diagnosis could be improved by reducing the time to identification of yeast from blood cultures. This study aimed to evaluate three rapid methods for the identification of yeast direct from blood cultures; Gram's stain analysis, the AdvanDX Peptide Nucleic Acid in Situ Hybridisation Yeast Traffic Light system (PNA-FISH YTL) and Bruker Sepsityper alongside matrix-assisted laser desorption ionisation time of flight mass spectrometry (MALDI-TOF MS). Fifty blood cultures spiked with a known single yeast strain were analysed by blinded operators experienced in each method. Identifications were compared with MALDI-TOF MS CHROMagar Candida culture and ITS rRNA sequence-based identifications. On first attempt, success rates of 96% (48/50) and 76% (36/50) were achieved using PNA-FISH YTL and Gram's stain respectively. MALDI-TOF MS demonstrated a success rate of 56% (28/50) when applying manufacturer's species log score thresholds and 76% (38/50) using in-house parameters, including lowering the species log score threshold to >1.5. In conclusion, PNA-FISH YTL demonstrated a high success rate successfully identifying yeast commonly encountered in fungaemia. Sepsityper(™) with MALDI-TOF MS was accurate but increased sensitivity is required. Due to the misidentification of commonly encountered yeast Gram's stain analysis demonstrated limited utility in this setting.

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Comparison of Auxacolor with API 20 C Aux in yeast identification

Cited by 14 publications

References 9 publications

Are the Conventional Commercial Yeast Identification Methods Still Helpful in the Era of New Clinical Microbiology Diagnostics? A Meta-Analysis of Their Accuracy

Are the Conventional Commercial Yeast Identification Methods Still Helpful in the Era of New Clinical Microbiology Diagnostics? A Meta-Analysis of Their Accuracy

Species identification and antifungal susceptibility pattern ofCandidaisolates in cases of vulvovaginal candidiasis

Comparative analysis of Gram's stain, PNA‐FISH and Sepsityper with MALDI‐TOF MS for the identification of yeast direct from positive blood cultures

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