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Algorithm for the identification of bacterial pathogens in positive blood cultures by real-time LightCycler polymerase chain reaction (PCR) with sequence-specific probes.
- Source :
-
Diagnostic microbiology and infectious disease [Diagn Microbiol Infect Dis] 2004 Apr; Vol. 48 (4), pp. 229-41. - Publication Year :
- 2004
-
Abstract
- We developed real-time polymerase chain reaction (PCR) assays for rapid detection of the most common and clinically relevant bacteria in positive blood culture bottles, including Staphylococcus spp., S. epidermidis, S. aureus, Enterococcus spp. (including differentiation of E. faecalis and E. faecium), Streptococcus spp., Streptococcus agalactiae, Enterobacteriaceae, E. coli, Pseudomonas aeruginosa, Stenotrophomonas maltophilia, Acinetobacter spp., Bacteroides spp., Haemophilus influenzae, and Neisseria meningitidis. A total of 507 positive blood cultures were investigated according to a specific PCR algorithm based on the microscopic result of the blood culture, and the PCR results were compared to the culture results. Apart from-cross reactions between E. coli and Chryseomonas luteola and Enterococcus faecium and E. durans, the PCR assay correctly identified all bacteria in the blood cultures and did not show any false-positive results. Regarding blood cultures positive with a single species of bacteria (n = 474), 98.3% of all bacteria were correctly detected by the PCR algorithm within a few hours. However, in mixed infections, the sensitivity was lower. The PCR algorithm is well suited for rapid identification of the most common bacteria in positive blood cultures.
- Subjects :
- Bacteria classification
Bacteria genetics
DNA Primers
Fluorescent Dyes
Gram-Negative Bacteria classification
Gram-Negative Bacteria genetics
Gram-Positive Bacteria classification
Gram-Positive Bacteria genetics
Humans
Algorithms
Bacteria isolation & purification
Bacterial Typing Techniques
Polymerase Chain Reaction methods
Subjects
Details
- Language :
- English
- ISSN :
- 0732-8893
- Volume :
- 48
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Diagnostic microbiology and infectious disease
- Publication Type :
- Academic Journal
- Accession number :
- 15062914
- Full Text :
- https://doi.org/10.1016/j.diagmicrobio.2003.11.005