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Automatic Digital Analysis of Chromogenic Media for Vancomycin-Resistant-Enterococcus Screens Using Copan WASPLab
Matthew L Faron1, Blake W Buchan2, Christopher Coon1
1Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Journal of Clinical Microbiology
|July 15, 2016
Summary
Automated digital imaging accurately detects Vancomycin-resistant enterococci (VRE) on chromogenic agar, reducing costs and improving patient care. This technology offers high sensitivity and specificity for VRE screening in healthcare settings.
Area of Science:
- Clinical Microbiology
- Infectious Diseases
- Medical Technology
Background:
- Vancomycin-resistant enterococci (VRE) are a significant cause of healthcare-associated infections (HAIs).
- Active surveillance for VRE colonization is crucial for reducing HAIs but incurs substantial laboratory and healthcare system costs.
- Digital imaging offers a potential solution to reduce labor costs associated with VRE screening.
Purpose of the Study:
- To evaluate the performance of the WASPLab Chromogenic Detection Module (CDM) software for analyzing VRE chromogenic agar.
- To compare the accuracy of automated CDM analysis with traditional technologist plate reading.
Main Methods:
- Digital images of VRE chromogenic agar plates from 104,730 specimens were analyzed using WASPLab CDM software.
- Automated analysis was compared to manual reading by technologists using digital images on high-definition monitors.
- Specimens were cultured using standard-of-care chromogenic media at three different laboratories.
Main Results:
- The WASPLab CDM achieved 90.1% agreement with manual analysis across all tested specimens.
- Automation demonstrated 100% sensitivity and 89.5% specificity in detecting VRE.
- The software accurately identified negative VRE plates in 84% of cases, with discordant results undergoing further review.
Conclusions:
- The WASPLab CDM software is a highly accurate tool for analyzing VRE chromogenic agar.
- Automated VRE screening can significantly reduce labor costs and potentially enhance patient care.
- The technology shows promise for improving the efficiency and effectiveness of VRE surveillance programs.

