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Rapid Identification of Gram Negative Bacteria from Blood Culture Broth Using MALDI-TOF Mass Spectrometry
Published on: May 28, 2014
Collaborative evaluation of the Radiometer Sensititre AP80 for identification of gram-negative bacilli
J L Staneck1, L S Weckbach, R C Tilton
1Department of Pathology and Laboratory Medicine, University Hospital, Cincinnati, Ohio 45267-0714.
The Sensititre AP80 panel provides accurate, same-day identification for gram-negative bacilli, including Enterobacteriaceae and nonenteric organisms. This automated system simplifies clinical microbiology workflows.
Area of Science:
- Clinical Microbiology
- Medical Diagnostics
- Bacterial Identification
Background:
- Accurate identification of gram-negative bacilli is crucial in clinical microbiology.
- Automated systems offer potential for improved efficiency and accuracy in bacterial identification.
Purpose of the Study:
- To evaluate the performance of the Sensititre AP80 panel for automated identification of gram-negative bacilli.
- To assess the accuracy and efficiency of the Sensititre AP80 panel in a multicenter trial.
Main Methods:
- A multicenter trial involving 1,023 clinical isolates of gram-negative bacilli.
- Utilized the Sensititre AP80 panel read on the Sensititre AutoReader.
- Compared results with API 20E or Rapid NFT systems and conventional biochemical profiles for discrepancies.
Main Results:
- Same-day identification was achieved for 90% of isolates within 5 hours.
- High agreement rates were observed: 95.3% genus and 92.5% species for Enterobacteriaceae; 95.1% genus and 84.7% species for nonenteric organisms.
- The panel demonstrated simplicity, convenience, reproducibility, and minimal need for supplementary testing.
Conclusions:
- The Sensititre AP80 panel is a simple, convenient, and accurate automated system for identifying gram-negative bacilli.
- It is well-suited for routine use in clinical microbiology laboratories for both Enterobacteriaceae and nonenteric organisms.
- The system offers comparable accuracy to other automated methods for same-day identification.
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