F. Wallet et al., CHOICE OF A ROUTINE METHOD FOR DETECTING METHICILLIN-RESISTANCE IN STAPHYLOCOCCI, Journal of antimicrobial chemotherapy, 37(5), 1996, pp. 901-909
Four methods were compared for their abilities to detect methicillin-r
esistance of Staphylococcus strains using mecA gene PCR analysis in 6
h as the gold standard. 57 Staphylococcus aureus and 100 coagulase neg
ative staphylococci (CNS) were evaluated by the oxacillin disc diffusi
on method (Kirby-Bauer), the automated API (ATE-plus) system (bioMerie
ux, La Balme les Grottes, France) in 24 h, the rapid BBL Crystal MRSA
ID system (Becton Dickinson, Cockeysville, Md.), the oxillin MICs usin
g the NCCLS agar dilution method in 24 h, and the mecA gene PCR analys
is. For S. aureus, the correlation was excellent between the EEL Cryst
al MRSA ID system and mecA gene PCR analysis (positive predictive valu
e = 100%; negative predictive value = 97%) and oxacillin MIC (positive
predictive value = 96%; negative predictive value = 96%). The correla
tion between BBL Crystal MRSA ID and mecA gene PCR was not reliable fo
r CNS (negative predictive value = 68%). For CNS, the slower routine s
usceptibility methods to identify intrinsic methicillin-resistance wer
e better: API ATE Staph has a positive predictive value = 94% and a ne
gative predictive value = 82%, and the disc diffusion test has a posit
ive predictive value = 95% and a negative predictive value = 74%. Howe
ver, BBL Crystal MRSA ID was as reliable as some of the other methods
tested for CNS after 6 h incubation when the inoculum was increased: p
ositive predictive value = 94% and a negative predictive value = 77%.
These results emphasize that genotypic detection of methicillin-resist
ance will undoubtedly become important to detect rapidly methicillin-r
esistance, especially for CNS.