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Journal of Clinical Microbiology, August 1999, p. 2697-2698, Vol. 37, No. 8
Division of Microbiology, Department of
Pathology, University of Texas Medical Branch, Galveston, Texas
77555-0740
Received 10 March 1999/Returned for modification 22 April
1999/Accepted 30 April 1999
The performance of the RapID Yeast Plus System (Innovative
Diagnostic Systems, Norcross, Ga.), a 4-h micropanel using
single-substrate enzymatic test reactions, was compared with that of
the API 20C AUX Clinical Yeast System (bioMerieux Vitek, Hazelwood,
Mo.), a 48- to 72-h carbohydrate assimilation panel. Two hundred
twenty-five yeasts, yeast-like fungi, and algae, comprising 28 species
and including 30 isolates of Cryptococcus neoformans, an
important pathogen not tested in appreciable numbers in other
comparisons, were tested by both methods. On initial testing, 196 (87.1%) and 215 (95.6%) isolates were correctly identified by the
RapID and API systems, respectively. Upon repeat testing, the number of correctly identified isolates increased to 220 (97.8%) for the RapID
system and 223 (99.1%) for the API system. Reducing the turbidity of
the test inoculum to that of a no. 3 McFarland turbidity standard,
which is below that recommended by the manufacturer, resulted in the
correct identification of most of the isolates initially misidentified
by the RapID system, including 10 of 30 C. neoformans
isolates. Concordance between the RapID and API results after repeat
testing was 97.3%.
The RapID Yeast Plus System (RYP)
(Innovative Diagnostic Systems, Norcross, Ga.) is a 4-h micropanel
system that utilizes single-substrate test reactions based on preformed
enzymes in tested isolates to identify yeasts. Reactions are determined
by color changes of chromogenic substrates within the sample wells, some of which require addition of reagents. Test reactions are grouped
in triads and scored on the basis of a positive or negative reaction,
resulting in a 6-digit microcode which is matched to an empirically
derived database of commonly occurring microcodes for identification of
the isolate. Previous evaluations have demonstrated accuracies of 94 to
98% in identifying yeasts and a few yeast-like fungi to the species
level (1, 2). While the range of species in the evaluation
by Kitch et al. included some of the less-common yeasts, 238 of 304 fungi (78%) evaluated were Candida albicans, Candida
parapsilosis, Candida tropicalis, or Candida
glabrata, and 106 of 125 (85%) in the study by Heelan et al. were
C. albicans, C. tropicalis, or C. glabrata (1, 2). Additionally, Kitch et al. tested only
eight isolates and Heelan et al. tested only one isolate of
Cryptococcus neoformans (1, 2).
Cryptococcus neoformans, an important pathogen, causes
life-threatening infections in approximately 6 to 10% of patients with
AIDS in the United States and is a frequently isolated yeast in medical
facilities serving this patient population (5). The purpose
of the present study was twofold: first, to evaluate the RYP with an
expanded battery of yeasts, yeast-like fungi, and yeast-like organisms; and second, to evaluate its performance in identifying an increased number of Cryptococcus neoformans isolates.
A total of 225 isolates of yeasts, yeast-like fungi, and algae
encompassing 28 species were tested (Table
1). Isolates were obtained from the
culture collection maintained at the Medical Mycology Research Center
at the University of Texas Medical Branch, the University of Iowa, and
the University of Texas Health Science Center at San Antonio. Cultures
were subcultured at least twice onto Sabouraud-Emmons dextrose agar
plates (Remel, Lenexa, Kans.) and incubated for at least 24 h but
not longer than 48 h at 30°C prior to testing. Testing of each
isolate was performed with both the RYP and the API 20C AUX system
(bioMerieux Vitek, Hazelwood, Mo.) simultaneously. Identification
procedures for each system were performed according to the
manufacturer's instructions, as described elsewhere (2, 3).
With the API 20C AUX system, isolates were identified by using the
second edition of the Analytical Profile Index and results were
correlated with morphology on cornmeal-Tween 80 agar plates inoculated
by the Dalmau method as recommended by the manufacturer. As no such
recommendation is made by the manufacturer of the RYP, the RYP was
evaluated as a stand-alone system. For this reason, presumptive or
probability overlap identifications were considered inadequate for the
purpose of this study. Discrepancies between the RYP and API 20C AUX
results were resolved by confirming the purity of the isolate and by
repeat testing with both systems. If results remained discrepant,
disagreements were resolved by morphological examination or traditional
biochemical tests, depending on the isolate (4).
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Copyright © 1999, American Society for Microbiology. All rights reserved.
Comparative Performance of the RapID Yeast Plus
System and the API 20C AUX Clinical Yeast System
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TABLE 1.
Identification of yeasts and yeast-like organisms by
the RYP and API systems
On initial testing of isolates, the accuracy of the RYP was 87.1%, with 196 of 225 isolates being identified correctly (Table 1). Of the 29 isolates incorrectly or inadequately identified, one C. krusei isolate was identified as presumptive while the remainder of the isolates coded as either no identification or an incorrect species. The three most frequently misidentified isolates were Cryptococcus neoformans (10 of 30 isolates incorrectly identified), Candida zeylanoides (3 of 3 isolates misidentified), and Candida lusitaniae (2 of 14 isolates incorrectly identified). Of the 10 incorrectly identified Cryptococcus neoformans isolates, 2 were identified as Rhodotorula minuta; 2 coded as probability overlap between Cryptococcus neoformans and R. minuta; 4 coded as no identification; 1 coded as probability overlap between Cryptococcus neoformans, Saccharomyces cerevisiae, Candida kefyr (C. pseudotropicalis), and Candida krusei; and 1 was identified as S. cerevisiae. Two of the C. zeylanoides isolates were identified as C. parapsilosis, and one coded as probability overlap among Rhodotorula glutinis, Rhodotorula rubra, C. parapsilosis, and C. zeylanoides. Of the two C. lusitaniae isolates, one coded as no identification and 1 coded as probability overlap between Torulopsis candida and C. lusitaniae. Upon repeat testing, the RYP correctly identified 24 of the 29 isolates, including all Cryptococcus neoformans isolates. The five isolates not identified correctly, followed in parentheses by the identification(s) provided by the RYP (initial and repeat), included one Candida guilliermondii isolate (no identification; C. parapsilosis), one Candida humicola isolate (Cryptococcus terreus; Trichosporan beigelii), one R. glutinis isolate (C. guilliermondii; R. minuta), one R. minuta isolate (no identification both times), and one Torulopsis candida isolate (Cryptococcus neoformans both times). After repeat testing, the overall accuracy of the RYP was 97.8%.
By way of comparison, the API 20C AUX system showed an accuracy of 95.6% on initial testing. Ten isolates were not correctly identified. The most frequently misidentified species were two C. lusitaniae isolates (no identification; C. albicans) and three C. zeylanoides strains (C. paratropicalis; no identification on two isolates). On retesting, only two isolates remained incorrectly identified: one Sporobolomyces salmonicolor isolate (no identification twice) and one C. guilliermondii isolate (Candida stellatoidea; C. parapsilosis). After repeat testing, the overall accuracy of the API panel was 99.1%.
On initial testing, the RYP identified only two-thirds (20 of 30) of Cryptococcus neoformans isolates. A similar 4-h identification system based on preformed enzymes, the Microscan Yeast Identification Panel (Baxter-Microscan, W. Sacramento, Calif.), showed similar problems in identifying this organism in one evaluation (3). The authors believed that the problem might have been related to an insufficient database at the time the study was done, and in a subsequent study at a different institution, the Microscan panel correctly identified all isolates of Cryptococcus neoformans (6). In previous evaluations of the RYP, problems in identifying Cryptococcus neoformans were not experienced; however, only eight isolates were included in the study by Kitch et al., and only one isolate was tested by Heelan et al. (1, 2). Aberrant reactions resulting in improper or inadequate identifications in this study were felt to be related to inoculum strength. The manufacturer's directions state that colonies of the test isolate should be added to the RapID inoculation fluid until the black lines on the provided inoculation card are no longer visible. When this was done, subsequent reactions in the test wells were often aberrant. When the test was repeated on these isolates with an inoculum of a density corresponding to a no. 3 McFarland turbidity standard (with which the black lines on the inoculation card are still discernible), an accuracy of 97.8% was obtained. Similar problems with frequent aberrant reactions were not experienced in the study by Kitch et al.; however, a no. 3 McFarland turbidity standard was utilized to prepare inocula in their study, rather than the manufacturer's recommended method (2). In the evaluation by Heelan et al., the manufacturer's directions were followed, and of the five yeast species misidentified by the system, four (C. lusitaniae, C. parapsilosis, R. rubra, and Trichosporan beigelii) were also among the isolates initially incorrectly identified in our study, with the correct identification obtained upon reducing the inoculum density to that of a no. 3 McFarland turbidity standard (1).
In summary, the RYP results correlate well with those obtained by using the API 20C AUX system. Concordance between the two systems in this study was 97.3%. The RYP is inoculum sensitive, however, and some species, particularly Cryptococcus neoformans, appear more susceptible to aberrant reactions with overinoculation than others. Utilization of an inoculum density familiar to microbiologists, corresponding to the no. 3 McFarland turbidity standard, rather than the procedure described by the manufacturer appears to reduce misidentifications due to overinoculation. With this modification, the RYP is useful for the identification of yeasts, some yeast-like fungi, and certain achlorophyllous algae from culture in 4 h.
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ACKNOWLEDGMENTS |
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We thank M. McGinnis, M. A. Pfaller, and M. G. Rinaldi for providing isolates for this study and Lester Pasarell, Geoffrey Fish, and Elizabeth Hinson for technical support. Kits were provided by bioMerieux (API 20C AUX) and Innovative Diagnostic Systems (RapID).
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FOOTNOTES |
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* Corresponding author. Mailing address: Division of Microbiology, Department of Pathology, University of Texas Medical Branch, 301 University Blvd., Galveston, TX 77555-0740. Phone: (409) 747-2484. Fax: (409) 772-5683. E-mail: mismith{at}utmb.edu.
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