Potential impact of a microarray-based nucleic acid assay for rapid detection of Gram-negative bacteria and resistance markers in positive blood cultures

We evaluated the Verigene Gram-negative blood culture (BC-GN) test, a microarray that detects Gram-negative bacteria and several resistance genes. A total of 102 positive blood cultures were tested, and the BC-GN test correctly identified 97.9% of the isolates within its panel. Resistance genes (CTX...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Journal of clinical microbiology Ročník 52; číslo 4; s. 1242
Hlavní autori:	Mancini, Nicasio, Infurnari, Laura, Ghidoli, Nadia, Valzano, Grazia, Clementi, Nicola, Burioni, Roberto, Clementi, Massimo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.04.2014
Predmet:	Bacteremia - diagnosis Drug Resistance, Bacterial Gram-Negative Bacteria - drug effects Gram-Negative Bacteria - genetics Gram-Negative Bacteria - isolation & purification Gram-Negative Bacterial Infections - diagnosis Humans Microarray Analysis - methods Molecular Diagnostic Techniques - methods Pilot Projects Predictive Value of Tests Sensitivity and Specificity
ISSN:	1098-660X, 1098-660X
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Popis
Shrnutí:	We evaluated the Verigene Gram-negative blood culture (BC-GN) test, a microarray that detects Gram-negative bacteria and several resistance genes. A total of 102 positive blood cultures were tested, and the BC-GN test correctly identified 97.9% of the isolates within its panel. Resistance genes (CTX-M, KPC, VIM, and OXA genes) were detected in 29.8% of the isolates, with positive predictive values of 95.8% (95% confidence interval [CI], 87.7% to 98.9%) in Enterobacteriaceae and 100% (95% CI, 75.9% to 100%) in Pseudomonas aeruginosa and negative predictive values of 100% (95% CI, 93.9% to 100%) and 78.6% (95% CI, 51.0% to 93.6%), respectively.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1098-660X 1098-660X
DOI:	10.1128/JCM.00142-14