CLINICAL MICROBIOLOGY AND INFECTIOUS DISEASE Original Article Clinical Comparison of the Baxter MicroScan Yeast Identification Panel® and the Vitek Yeast Biochemical Card® DONNA L. RIDDLE, MS, MT(ASCP), 1 OLARAE GIGER, P H D , 2 LINDA MILLER, P H D , 3 GERRI S. HALL, P H D , 4 AND GAIL L. WOODS, MD 5 croScan panels, 24-48 hours with Vitek cards, and 72 hours with the To determine the reliability of the Baxter MicroScan Yeast IdentificaAPI 20C strips. On initial testing, 101 (67%) and 128 (85%) isolates, tion Panel,™ processed by the Walkaway-96, and the Vitek Yeast Biorespectively, were correctly identified by MicroScan and Vitek. After chemical Card,"* 150 clinical yeast isolates (30 Candida albicans, 67 Candida species, not albicans, 26 Torulopsis glabrata, 13 Cryptococcus repeat testing, the number of correctly identified isolates increased to neoformans, 4 Saccharomyces cerevisiae, 6 Trichosporon beigelii, 3123 (82%) by MicroScan and to 142 (95%) by Vitek. Yeasts most comRhodotorula species, and 1 Geotrichum species) were tested on both monly misidentified were Candida tropicalis, Tglabrata, and Candida systems. Results were compared with those obtained by the API 200"" parapsilosis by MicroScan and C tropicalis and T glabrata by Vitek. (Key words: Automation; Rapid microbiology; Yeast identification) Am and the appearance of yeast cells on cornmeal Tween-80 agar. After J Clin Pathol 1994;101:438-442. inoculation of each system, results were available in 4 hours with Mi- groups, have been developed. Growth-based systems that rely primarily on the ability of the organism to assimilate various substrates include the API 20C Clinical Yeast System (Analytab Products, Plainview, NY) and the Vitek Yeast Biochemical Card (Vitek Systems, Hazelwood, MO).7"12 Other systems, such as the Baxter MicroScan Yeast Identification Panel (Baxter MicroScan, West Sacramento, CA), use chromogenic and modified conventional tests to assess the presence of preformed enzymes.13"15 The purpose of this study was to evaluate the reliability of two commercially available automated systems: The Baxter MicroScan Rapid Yeast Identification Panel, processed by the Walkaway-96, and the Vitek Yeast Biochemical Card. The identification given by each system was compared with the reference method, the API 20C Clinical Yeast System, and the morphologic appearance of yeast cells on cornmeal Tween-80 (CMT-80) agar. Over the last several years, yeasts have become recognized as significant opportunistic pathogens. The need for efficient, reliable methods for identification of yeasts has therefore become increasingly important. 1 " 3 Factors that compromise the normal host defenses increase the risk of serious yeast infection. These factors include use of cytotoxic drugs, steroids, or other immunosuppressive agents; infection with human immunodeficiency virus; intravenous drug use; placement of intravascular catheters; and intra-abdominal surgery. Because the susceptibility of yeasts to antifungal agents varies, appropriate therapy for invasive yeast infections may depend on the rapid and accurate identification of the responsible organism. In vitro, for example, Candida lusitaniae is resistant to amphotericin B, and Candida krusei and Torulopsis glabrata are resistant to fluconazole.4"6 Classic methods of yeast identification are technically complex and time consuming, often requiring incubation for up to 1 week. The result, therefore, may be of retrospective interest only. Over the last 2 decades, commercial systems for more rapid yeast identification, which can be divided into two basic MATERIALS A N D METHODS Organisms One hundred fifty clinical yeast isolates were tested; 98 from From the'Department of Pathology and Laboratory Medicine, Hos- cultures at the Cleveland Clinic Foundation, Cleveland, Ohio, 2 pital ofthe University of Pennsylvania. Philadelphia. Pennsylvania; De- and 52 from the Medical College of Pennsylvania, Philadelpartment of Pathology and Laboratory Medicine. Episcopal Hospital, Philadelphia. Pennsylvania; ^Department ofPathology and Laboratory phia, Pennsylvania. Each isolate was subcultured to Sabouraud Medicine. Holy Redeemer Hospital and Medical Center, Philadelphia, dextrose agar (SAB) at least twice before it was tested by the Pennsylvania; "Department ofMicrobiology, Cleveland Clinic Founda- three systems. MicroScan panels were evaluated at the Medical tion, Cleveland, Ohio; and Department of Pathology and Laboratory College of Pennsylvania; Vitek cards, at the Cleveland Clinic Medicine, Medical College of Pennsylvania, Philadelphia, Pennsyl- Foundation; and the API 20C strips and CMT-80 agar, at both vania. institutions. Manuscript received November 30, 1992; revision accepted March 8, 1993. Address reprint requests to Dr. Woods: Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555-0743. MicroScan Rapid Yeast Identification Panel Isolates were subcultured to SAB and incubated 48-72 hours at 25-30 °C in ambient air. Testing was performed according 438 RIDDLE ET AL. Baxter MicroScan Versus •k Yeast Biochemical Card to manufacturer's directions. Isolated colonies of yeast were inoculated into 3 mL MicroScan Inoculum Water to give a turbidity approximately equal to a number 8 McFarland barium sulfate standard. The panels were labeled using preprinted bar code labels generated by the Baxter MicroScan WalkAway System. Using an Eppendorf (Brinkman Instruments, Inc., Westbury, NY) step pipettor, 50 jiL of the yeast suspension was added to each of the 27 wells containing a substrate, the /3naphthylamide control well, the nitrophenyl control well, and the locator well. Each panel was then loaded into the WalkAway, which incubated panels at 35 °C, for processing. A base-line reading of each panel was performed after 30 minutes. After 4 hours, the panel was again drawn into the instrument read head, where reagents were added and final reactions interpreted. Positive or negative reactions were based on the color change in each well, compared with the base-line reading. As recommended by the manufacturer, no visual verification of the WalkAway interpretations or editing of panel results was attempted. The nine-digit biotype number generated by assigning a weighted numerical value to all positive reactions was compared with biotype numbers included in the computer database of the instrument. Based on this comparison, the computer provided an identification and a percent probability of its accuracy. According to manufacturer's guidelines, an identification with a less than 85% likelihood of being correct is questionable. Vitek Yeast Biochemical Card Vitek Yeast Biochemical Cards were tested according to the manufacturer's directions. Isolates were grown at 28-30 °C on SAB for 18-48 hours, or until sufficient growth was achieved. Several well-isolated, identical colonies were picked and emulsified into 1.8 mL of .45% to .5% saline to give a turbidity equal to a number 2 McFarland standard. Cards werefilledwith the yeast suspension using the filling module of the Vitek instrument, incubated off-line at 30 °C for 24 hours, and then loaded into the Vitek reader/incubator for one reading. If additional incubation was required for identification, cards were reincubated and read again at 48 hours. A well was called positive or negative based on the amount of light transmitted through the corresponding negative control well. The nine-digit biotype number, generated by assigning a weighted numerical value to all positive reactions, was compared with those included in the computer database, and an identification was determined and given a probability of being correct. API 20C Clinical Yeast System The API 20C was performed according to the manufacturer's directions. Isolates were grown on SAB for 48-72 hours at 25-30 °C. Well-isolated colonies were emulsified in an ampule of melted API 20C basal medium to give density just below a 1+ on a Wickerham card. Before the basal medium cooled to a solidified state, each well of the API 20C strip was inoculated, and the strip was placed in an incubation tray, covered with a lid, and incubated at 30 °C for 72 hours. Reactions were visually examined at 24,48, and 72 hours and recorded as positive or negative, based on the turbidity in the well. A sevendigit biotype number was generated by assigning a weighted score to positive reactions. Identification was based on the gen- 439 erated biotype code, which was compared with those listed in the API 20C Analytical Profile Index. Cornmeal Tween-80 The microscopic appearance of yeast cells on CMT-80 agar was considered in the identification of each isolate. With a sterile inoculating needle, yeast cells were picked from isolated colonies and inoculated to CMT-80 agar by using the needle to cut two to three parallel lines no less than 1 cm apart into the agar. A portion of the cuts was covered with a coverslip. Plates were incubated at 25-30 °C for 18-48 hours and then examined at X 100 to X 400 for characteristic structures (blastoconidia, arthroconidia, chlamydospores, ascospores, true hyphae, and pseudohyphae).16 Resolution of Discrepancies In this study, the identification provided by the MicroScan panel or the Vitek card was considered correct if the following criteria were fulfilled: genus and species agreed with those provided by the API 20C, structures observed on CMT-80 agar were consistent with the identification, and the likelihood that the identification was correct was 85% or greater. The panel or card was repeated using a fresh subculture if either automated system did not provide an identification, if the probability that the identification was correct was less than 85%, if the identification did not correlate with the structures observed on CMT80 agar, or if additional off-line conventional testing other than CMT-80 agar was required for confirmation. If, after repeat testing, the genus and species provided by the MicroScan or Vitek still did not fulfill the above criteria for correct identification, the result was considered incorrect. RESULTS On initial testing, 101 (67%) and 128 (85%) isolates, respectively, were correctly identified by MicroScan and Vitek. After repeat testing (based on the criteria previously described), the number of correctly identified isolates increased to 123 (82%) by MicroScan and 142 (95%) by Vitek. The results are summarized in Tables 1 and 2, respectively. The time required for final identification varied for each system evaluated. All three systems recommend subculture from primary isolation media to SAB to obtain pure growth of the yeast to be tested. The suggested incubation period for that subculture is 18-72 hours for MicroScan (depending on the growth of the isolate), 18-48 hours for Vitek, and 48-72 hours for the API 20C. After inoculation of the system, the time to identification is 4 hours for MicroScan, 24-48 hours for Vitek, and 72 hours for the API 20C (an isolate may be identified by the API 20C in 24-48 hours, but the manufacturer's guidelines require incubation for 72 hours). Total time to identification, therefore, is 22-76 hours for MicroScan, 42-96 hours for Vitek, and 72-144 hours for the API 20C. DISCUSSION Commercial systems for identification of yeasts are technically simple to perform and provide a much shorter turn- Vol. 101 •No. 4 440 CLINICAL MICROBIOLOGY AND INFECTIOUS DISEASE Original Article TABLE 1. ACCURACY OF THE MICROSCAN RAPID YEAST IDENTIFICATION PANEL COMPARED WITH THE API 20C CLINICAL YEAST SYSTEM AND CORNMEAL TWEEN 80 AGARt (CMT-80) API 20C/CMT-80 Identification Candida spp. C albicans C. guilliermondii C. krusei C. lusitaniae C parapsilosis C. paratropicalis C. pseudotropicalis C. rugosa C. tropicalis Cryptococcus neoformans Geotrichum spp. Rhodolorula spp. Saccharomyces cerevisiae Torulopsis glabrata Trichosporon beigelii Total Total Tested No. (%) Correctly Identified on Initial Testing 30 2 5 2 19 2 1 1 35 13 1 3 4 26 6 30(100) 1(50) 1(20) 0(0) 12(63) 2(100) 1 (100) 0(0) 17(49) 12(92) 1 (100) 0(0) 4(100) 16 (62) 4(67) 101 (67) 150 around time than conventional methods. They should not be used, however, if results are not accurate. We therefore evaluated the reliability of two commercially available automated yeast identification systems: MicroScan and Vitek. In our study, the accuracy of these instruments was determined by testing clinical isolates (15 different yeasts) and comparing the results obtained by each instrument to the results of a reference method: the API 20C Clinical Yeast System and the appearance of yeast cells on CMT-80 agar, which has been used as the reference method in several clinical evaluations of commercial yeast identification systems."'12'1415 Our goal was to assess the performance of the MicroScan and Vitek as stand-alone systems in a clinical laboratory; therefore, rarely encountered No. Correctly Identified on Repeat Testing — 1 2 1 3 — — 0 7 1 — 1 — 6 1 22 Total (%) Correctly Identified 30(100) 2(100) 3(60) 1(50) 15(79) 0(0) 1 (100) 0(0) 24 (69) 13(100) 1 (100) 1(33) 4(100) 22 (85) 5(83) 123(82) yeasts were not included, and no additional tests (other than CMT-80 agar) were done. On initial testing, the MicroScan WalkAway correctly identified only 67% of the 150 isolates in the study, which is considerably fewer than the number found by other investigators who evaluated the MicroScan panels.1415 In a study conducted by Land and colleagues,14 MicroScan panels correctly identified 92% of those organisms included in the database and 85% of all yeasts tested. Of the yeasts that these investigators categorized as uncommon or "not in database" (and, therefore, excluded from the calculation of 92% overall agreement), only Candida rugosa (1 isolate) and Rhodolorula species (3 isolates) were included in our study. All four were misidentified on initial TABLE 2. ACCURACY OF THE VITEK YEAST BIOCHEMICAL CARD COMPARED WITH THE API 20C CLINICAL YEAST SYSTEM AND CORNMEAL TWEEN 80 AGAR (CMT-80) API 20C/CMT-80 Identification Candida spp. C. albicans C. guilliermondii C. krusei C. lusitaniae C. parapsilosis C. paratropicalis C. pseudotropicalis C. rugosa C. tropicalis Cryptococcus neoformans Geotrichum spp. Rhodolorula spp. Saccharomyces cerevisiae Torulopsis glabrata Trichosporon beigelii Total Total Tested 30 2 5 2 19 2 1 1 35 13 1 3 4 26 6 150 No. (°fo) Correctly Identified on Initial Testing No. Correctly Identified on Repeat Testing 30(100) 0(0) 3(60) 1(50) 18(95) 0(0) 1 (100) 0(0) 30 (86) 13(100) 1 (100) 3(100) 4(100) 20 (77) 3(50) — 127 (85) A.J.C.P.-April 1994 2 0 1 1 2 — 1 3 — — — — 3 2 15 Total (%) Correctly Identified 30(100) 2(100) 3(60) 2(100) 19(100) 2(100) 1 (100) 1(100) 33 (94) 13(100) 1 (100) 3(100) 4(100) 23 (77) 5(83) 142 (95) RIDDLE ET AL. Baxter MicroScan Versus Vitek Yeast Biochemical Card testing. If these four isolates were excluded from our study, the accuracy of the MicroScan would increase from 67% (101/150) to 69% (101/146) on initial testing and from 82% (123/150) to 84% (122/146) on repeat testing (one isolate of Rhodotorula species was correctly identified on retesting). After the study by Land et al,14 the MicroScan panel was revised: isoleucine, urea, N-acetyl-galactosamine, and trehalose were reformulated for ease and consistency of reading. This new panel was used in our study and in an evaluation by St.-Germain and Beauchesne.15 The latter investigators reported an overall accuracy of the MicroScan panels (including repeat testing) of 96.6%, compared with the API 20C plus additional tests: Wickerham broth carbohydrate and nitrate utilization, carbohydrate fermentation, phenol oxidase, urease, cycloheximide sensitivity, growth at 37-42 °C, germ-tube formation, and morphologic appearance of yeast cells on CMT-80 agar. Without these additional tests, however, only 78% of 357 isolates were identified correctly, similar to the 82% accuracy we found on repeat testing. Our study was designed to evaluate MicroScan panels as a stand-alone system, because a primary advantage of these panels is the 4-hour turnaround time, which would be markedly prolonged if additional conventional biochemical tests were required. The only test other than MicroScan panels that we included was morphologic appearance of yeast cells on CMT-80 agar. CMT-80 agar was inoculated from growth on the primary isolation media (at the time of subculture to SAB) and examined on the same day that the MicroScan panels were inoculated and interpreted; thus, identification of the isolate was not delayed. Three of the 15 different yeasts included in our study accounted for 53% (80/150) of isolates tested and more than 70% (33/49) of misidentifications on initial testing of panels by the WalkAway: Candida tropicalis (18/35 [51%] were misidentified), Torulopsis glabrata (10/26 [48%] were misidentified), and Candida parapsilosis (7/19 [37%] were misidentified). Fourteen of the 18 C tropicalis isolates that were incorrectly identified or were called C tropicalis with a probability of less than 85% would have been correctly called C tropicalis (probability, 99.9%) had either or both of two reactions—glycyl-Lproline 4-methyoxy-|8-naphthylamide (GLPR) and 3-indoxyl phosphate (IDX)—been interpreted as positive rather than negative. Three of the 18 isolates were called C tropicalis with a probability of 70% to 79%; all had positive GLPR and negative IDX results. If the IDX reaction had been positive, these isolates would also have been identified as C tropicalis with a probability of 99.9%. The remaining C tropicalis isolate was called Candida paratropicalis, based on a negative sucrose reaction. The IDX and GLPR reactions were also important in the identification of C parapsilosis. Of the seven isolates of C parapsilosis misidentified by the MicroScan panels, three would have been correctly identified with a probability of 94% had either or both of the IDX and GLPR reactions been interpreted as positive rather than negative. For two isolates, positive results for both the IDX and GLPR were necessary for an identification of C parapsilosis with greater than 85% probability. For the remaining two misidentified isolates, the IDX, GLPR, and L-tyrosine-|8-naphthylamide (TYR) reactions required a positive rather than negative interpretation for identification of C parapsilosis of any probability (97.2% for one; the other, "low selectivity" C parapsilosis, Torulopsis inconspicua, Candida zeylanoides). 441 Of the 10 incorrectly identified isolates of T glabrata, six would have been correctly called T glabrata (probability, > 93%), if, in addition to the other reactions, the L-alanine 4-methoxy-/3-naphthylamide (ALA) reaction had been interpreted as positive rather than negative. Incorrect identification of the other four isolates occurred because of more than one atypical reaction. Had the reactions IDX and GLPR for the 17 isolates of C tropicalis and five Cparapsilosis and the ALA reaction for the six T glabrata consistently been called positive, the overall correlation between the MicroScan panels and the API 20C/ CMT-80 would have increased from 67% (101/150) to 86% (129/150) on initial testing and from 82% (123/150) to 92% (129/150) on repeat testing. Data from previous studies showed similar inconsistencies with the IDX reaction.14,15 Problems with the IDX reaction and, to a lesser extent, with the GLPR and ALA reactions also occurred with the quality control isolates in this study. For quality control organisms to give expected reactions with these substrates, panels often had to be repeated. Difficulty with interpretation of chromogenic substrates has been described previously.141517 An automated system, which eliminates the subjectivity of a technologist's visual reading, would be expected to provide more accurate interpretations of the panels. That expectation, however, was not met in this study. Panels were interpreted by the totally automated WalkAway, yet the results were less accurate than those reported by investigators who used visual interpretation only14 or visual plus instrument (AutoScan-4) interpretation.15 One possible source of inconsistency of the MicroScan panels is the requirement for a heavy inoculum (approximately equal to the turbidity of a number 8 McFarland standard). A suspension of that turbidity is difficult to compare accurately, by visual examination, to the standard inoculum. According to the manufacturer, over- or underinoculation of the panels can cause variations in chromogenic results, but the range outside the standard density required to cause these variations is not clearly defined. Vitek cards performed better than MicroScan panels in our evaluation; 85% of yeasts were correctly identified on initial testing and 95% on repeat testing. Our results are comparable with the 97.2% accuracy of the Vitek (including repeated cards) previously reported by El-Zaatari and colleagues.12 In the latter study, as in ours, the only additional off-line test was morphologic appearance of yeast cells on CMT-80 agar, which should be inoculated at the time of subculture from primary isolation media to SAB, so that it can be examined when the card is interpreted and thus not delay identification. For the 15 different species tested in this study, no disproportionate misidentifications, as occurred with the MicroScan panels, were seen with the Vitek cards. The most frequently misidentified yeasts, C tropicalis (five isolates) and T glabrata (six isolates), accounted for 47.8% (11/23) of all misidentifications and for 40.7% (61/150) of all isolates. More than one atypical reaction accounted for the misidentification of all five isolates of C tropicalis. Of the six isolates of T glabrata that were misidentified on initial testing, three were called "7" glabrata or Geotrichum capitatum," with no distinction between them. One was identified as T glabrata with a probability of 64%. For these four isolates, the glycerol well was interpreted as positive. Had glycerol been called negative, all four would have been identified as T glabrata at a probability of 99%. The re- Vol. 101 - N o . 4 442 CLINICAL MICROBIOLOGY AND INFECTIOUS DISEASE Article maining misidentifications of T glabrata were due to more than one atypical reaction. Had the identification of Tglabrata been more accurate, the overall agreement between Vitek cards and API 20C/CMT-80 would have increased from 85% (127/ 150) to 87% (131/150) on initial testing and from 95% (142/ 150) to 97% (145/150) on repeat testing. Candida albicans comprised 20% (30/150) of the isolates in our study. For rapid, cost-effective identification of C albicans in a clinical microbiology laboratory, the germ-tube test typically would be performed; use of a MicroScan panel, Vitek card, or the API 20C would be unnecessary, unless the isolate was a germ tube-negative variant of C albicans. If isolates of C albicans were excluded from our evaluation, the accuracy of MicroScan panels would decrease to 59% (71/120) on initial testing and to 77.5% (93/120) with repeat testing. The accuracy of the Vitek card would decrease to 81% (97/120) on initial testing and to 93% (112/120) on retesting. In summary, each system that we evaluated has advantages and disadvantages. The API 20C Clinical Yeast System is comparable with classic conventional techniques. It is a complete system and requires no additional reagents or instrumentation. Each strip costs approximately $5.60 (manufacturer's 1994 list price). Quality control includes testing three different yeasts. The API 20C, however, has the longest minimum turnaround time, based on the manufacturer-recommended 72-hour incubation for final identification, and it is not automated. Reactions are interpreted by a technologist's visual examination of turbidity only; therefore, observer subjectivity may affect consistency of results. In our evaluation, the performance of the MicroScan system was inferior to that of the Vitek system. The MicroScan system, however, was the most rapid of those evaluated. Final identification of all yeasts included in the database is available 4 hours after system inoculation. Panels may be interpreted either by computer-based instrumentation or visually. To improve performance, several substrates on the MicroScan panel have been reformulated since the kit was first available, but refinements of additional substrates, such as 3-indoxyl phosphate, glycyl-Lproline 4-methoxy-/3-naphthylamide, and L-alanine 4-methoxy-/3-naphthylamide, should be considered to improve accuracy further. These panels are the most expensive of the systems evaluated (1994 list price, $6.87), and quality control requires testing seven organisms. The Vitek Yeast Biochemical Card compared favorably with the API 20C, and final identification is available 24 hours after the card is inoculated for most common clinical yeast isolates. Quality control requirements include testing four yeasts. Each card costs approximately $4.60 (1994 list price). The major disadvantage of the Vitek yeast identification system is the absolute requirement for instrumentation. Unless the laboratory already uses a Vitek system for bacterial identification and sus- ceptibility testing or is planning to do so, use of the Vitek cards for yeast identification probably is not an option. Acknowledgments. We thank Dawn Hare for her technical help. REFERENCES 1. Horn R, Wong B, Kiehn TE, Armstrong D. Fungemia in a cancer hospital: Changing frequency, earlier onset, and results of therapy. Rev Infect Dis 1985;7:646-655. 2. BodeyGP. Candidiasis in cancer patients. Am J Med 1984; 77:1319. 3. Maksymiuk AW, Thongprasert S, Hopfer R, Luna A, Fainstein V, Bodey GP. Systemic candidiasis in cancer patients. Am J Med 1984;77:20-27. 4. Bodey GP. Azole antifungal agents. Clin Infect Dis 1992; 14(suppl 1):S161-169. 5. Blinkhorn RJ, Adelstein D, Spagnuolo PJ. Emergence of a new opportunistic pathogen, Candida lusitaniae. J Clin Microbiol 1989;27:236-240. 6. Wingard JR, Merz WG, Rinaldi MG, Johnson TR, Karp JE, Saral R. Increase in Candida krusei infection among patients with bone marrow transplantation and neutropenia treated prophylactically with fluconazole. TV £«g/./Ma/ 1991;325:1274-1277. 7. Buesching WJ, Kurek K, Roberts GD. Evaluation of the modified API 20C system for identification of clinically important yeasts. J Clin Microbiol 1979;9:565-569. 8. Land GA, Harrison BA, Hulme KL, Cooper BH, Byrd JC. Evaluation of the new API 20C strip for yeast identification against a conventional method. J Clin Microbiol 1979; 10:357-364. 9. Oblack DL, Rhodes JC, Martin WJ. Clinical evaluation of the AutoMicrobic system yeast biochemical card for rapid identification of medically important yeasts. J Clin Microbiol 1981;13:351-355. 10. Hasyn JJ, Buckley HR. Evaluation of the AutoMicrobic system for identification of yeasts. J Clin Microbiol 1982; 16:901-904. 11. Pfaller MA, Preston T, Bale M, Koontz FP, Body BA. Comparison of the Quantum II, API Yeast Ident, and AutoMicrobic systems for identification of clinical yeast isolates. J Clin Microbiol 1988;26:2054-2057. 12. El-Zaatari M, Pasarell L, McGinnis MR, Buckner J, Land GA, Salkin IF. Evaluation of the updated Vitek yeast identification data base. J Clin Microbiol 1990; 28:1938-1941. 13. Casal M, Linares MJ. Contribution to the study of the enzymatic profiles of yeast organisms with medical interest. Mycopalhology 1983;81:155-159. 14. Land GA, Salkin IF, El-Zaatari M, McGinnis MR, Hashem G. Evaluation of the Baxter-MicroScan 4-hour enzyme-based yeast identification system. J Clin Microbiol 1991; 29:718-722. 15. St.-Germain G, Beauchesne D. Evaluation of the MicroScan rapid yeast identification panel. J Clin Microbiol 1991,29:22962299. 16. Warren NG, Shadomy J. Yeasts of medical importance. In: Balows A, Hausler WJ Jr, Herrmann KL, Isenberg HD, Shadomy HJ, eds. Manual of Clinical Microbiology. 5th ed. Washington, DC: American Society for Microbiology, 1991, pp. 617-629. 17. Salkin IF, Land GA, Hurd NJ, Goldson PR, McGinnis MR. Evaluation of Yeastldent and Uni-Yeast-Tek yeast identification systems. J Clin Microbiol 1987;25:624-627.
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