Identification of Staphylococcus species and subspecies with the MicroScan Pos ID and Rapid Pos ID panel systems.

摘要

The accuracies of the MicroScan Pos ID and Rapid Pos ID panel systems (Baxter Diagnostic Inc., MicroScan Division, West Sacramento, Calif.) were compared with each other and with the accuracies of conventional methods for the identification of 25 Staphylococcus species and 4 subspecies. Conventional methods included those used in the original descriptions of species and subspecies and DNA-DNA hybridization. The Pos ID panel uses a battery of 18 tests, and the Rapid Pos ID panel uses a battery of 42 tests for the identification of Staphylococcus species. The Pos ID panel has modified conventional and chromogenic tests that can be read after 15 to 48 h of incubation; the Rapid Pos ID panel has tests that use fluorogenic substrates or fluorometric indicators, and test results can be read after 2 h of incubation in the autoSCAN-W/A. Results indicated that both MicroScan systems had a high degree of congruence (greater than or equal to 90%) with conventional methods for the species S. capitis, S. aureus, S. auricularis, S. saprophyticus, S. cohnii, S. arlettae, S. carnosus, S. lentus, and S. sciuri and, in particular, the subspecies S. capitis subsp. capitis and S. cohnii subsp. cohnii. The Rapid Pos ID panel system also had greater than or equal to 90% congruence with conventional methods for S. epidermidis, S. caprae, S. warneri subsp. 2, S. xylosus, S. kloosii, and S. caseolyticus. For both MicroScan systems, congruence with conventional methods was 80 to 90% for S. haemolyticus subsp. 1, S. equorum, S. intermedius, and S. hyicus; and in addition, with the Rapid Pos ID panel system congruence was 80 to 89% for S. capitis subsp. ureolyticus, S. warneri subsp. 1, S. hominis, S. cohnii subsp. urealyticum, and S. simulans. The MicroScan systems identified a lower percentage (50 to 75%) of strains of S. lugdunensis, S. gallinarum, S. schleiferi, and S. chromogenes, although the addition of specific tests to the systems might increase the accuracy of identification significantly.