Skip to main content
NCBI home page
Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 1991 Jul;29(7):1422–1428. doi: 10.1128/jcm.29.7.1422-1428.1991

Comparison of the autoSCAN-W/A rapid bacterial identification system and the Vitek AutoMicrobic system for identification of gram-negative bacilli.

M A Pfaller 1, D Sahm 1, C O'Hara 1, C Ciaglia 1, M Yu 1, N Yamane 1, G Scharnweber 1, D Rhoden 1
PMCID: PMC270128  PMID: 1885737

Abstract

The autoSCAN-W/A (W/A; Baxter MicroScan, West Sacramento, Calif.) with the new fluorometric Rapid Neg Combo 1 (RNC) panel is a fully automated fluorometric system for identification of both enteric and nonenteric gram-negative bacilli within 2 h. We compared the W/A with the Vitek AutoMicrobic System (Vitek AMS; Vitek Systems, Inc., Hazelwood, Mo.) for identification of 383 clinical isolates of gram-negative bacilli. The API 20E (Analytab Products, Plainview, N.Y.) and conventional biochemical testing were used as the reference systems. The W/A correctly identified 336 isolates (87.7%) to the species level and classified an additional 29 isolates (7.6%) as correct with low probability (overall identification = 95.3%); the Vitek AMS correctly identified 355 isolates (92.7%) to the species level and classified an additional 8 isolates (2.1%) as correct with low probability (overall identification = 94.8%). A common set of 134 isolates of gram-negative bacilli was tested in both participating laboratories as a means of assessing interlaboratory agreement with both the W/A and the Vitek AMS. The overall agreements between the two laboratories were 86% with the W/A and 92% with the Vitek AMS. The W/A performed comparably to the Vitek AMS for identification of most gram-negative bacilli, actually exceeding the Vitek AMS for identification of nonenteric bacilli. Rapid time to identification and a high level of automation make the W/A an attractive system for clinical microbiology laboratories.

Full text

PDF
1422

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Aldridge K. E., Hodges R. L. Correlation studies of entero-set 20, API 20E and conventional media systems for Enterobacteriaceae identification. J Clin Microbiol. 1981 Jan;13(1):120–125. doi: 10.1128/jcm.13.1.120-125.1981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Bale M. J., Matsen J. M. Time-motion and cost comparison study of micro-ID, API 20E, and conventional biochemical testing in identification of Enterobacteriaceae. J Clin Microbiol. 1981 Dec;14(6):665–670. doi: 10.1128/jcm.14.6.665-670.1981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Barry A. L., Gavan T. L., Badal R. E., Telenson M. J. Sensitivity, specificity, and reproducibility of the automicrobic system (with the Enterobacteriaceae-plus biochemical card) for identifying clinical isolates of Gram- negative bacilli. J Clin Microbiol. 1982 Apr;15(4):582–588. doi: 10.1128/jcm.15.4.582-588.1982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. D'Amato R. F., Holmes B., Bottone E. J. The systems approach to diagnostic microbiology. Crit Rev Microbiol. 1981;9(1):1–44. doi: 10.3109/10408418109104485. [DOI] [PubMed] [Google Scholar]
  5. D'Amato R. F., Isenberg H. D., McKinley G. A., Baron E. J., Tepper R., Shulman M. Novel application of video image processing to biochemical and antimicrobial susceptibility testing. J Clin Microbiol. 1988 Aug;26(8):1492–1495. doi: 10.1128/jcm.26.8.1492-1495.1988. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. DiPersio J. R., Dyke J. W., Vannest R. D. Evaluation of the updated MS-2 Bacterial Identification system in comparison with the API 20E system. J Clin Microbiol. 1983 Jul;18(1):128–135. doi: 10.1128/jcm.18.1.128-135.1983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Gavini F., Husson M. O., Izard D., Bernigaud A., Quiviger B. Evaluation of autoscan-4 for identification of members of the family Enterobacteriaceae. J Clin Microbiol. 1988 Aug;26(8):1586–1588. doi: 10.1128/jcm.26.8.1586-1588.1988. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Jorgensen J. H., Johnson J. E., Alexander G. A., Paxson R., Alderson G. L. Comparison of automated and rapid manual methods for the same-day identification of Enterobacteriaceae. Am J Clin Pathol. 1983 Jun;79(6):683–687. doi: 10.1093/ajcp/79.6.683. [DOI] [PubMed] [Google Scholar]
  9. Kelly M. T., Latimer J. M. Comparison of the automicrobic system with API, enterotube, micro-ID, micro-media systems, and conventional methods for identification of Enterobacteriaceae. J Clin Microbiol. 1980 Nov;12(5):659–662. doi: 10.1128/jcm.12.5.659-662.1980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Malloy P. J., Miceika B. G., Ducate M. J. Automated methods in microbiology: II. Identification and susceptibility testing. Am J Med Technol. 1983 May;49(5):313–321. [PubMed] [Google Scholar]
  11. Murray P. R., Gauthier A., Niles A. Evaluation of the Quantum II and Rapid E identification systems. J Clin Microbiol. 1984 Sep;20(3):509–514. doi: 10.1128/jcm.20.3.509-514.1984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Pfaller M. A., Bale M. J., Schulte K. R., Koontz F. P. Comparison of the Quantum II Bacterial Identification System and the AutoMicrobic System for the identification of gram-negative bacilli. J Clin Microbiol. 1986 Jan;23(1):1–5. doi: 10.1128/jcm.23.1.1-5.1986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Pfaller M. A., Preston T., Bale M., Koontz F. P., Body B. A. Comparison of the Quantum II, API Yeast Ident, and AutoMicrobic systems for identification of clinical yeast isolates. J Clin Microbiol. 1988 Oct;26(10):2054–2058. doi: 10.1128/jcm.26.10.2054-2058.1988. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Plorde J. J., Gates J. A., Carlson L. G., Tenover F. C. Critical evaluation of the AutoMicrobic system gram-negative identification card for identification of glucose-nonfermenting gram-negative rods. J Clin Microbiol. 1986 Feb;23(2):251–257. doi: 10.1128/jcm.23.2.251-257.1986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Tenover F. C., Mizuki T. S., Carlson L. G. Evaluation of autoSCAN-W/A automated microbiology system for the identification of non-glucose-fermenting gram-negative bacilli. J Clin Microbiol. 1990 Jul;28(7):1628–1634. doi: 10.1128/jcm.28.7.1628-1634.1990. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Clinical Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES