[Comparison of Phoenix Automated System, API ID 32 Strep System and LightCycler Enterococcus MGRADE System in the

Yeşim Cekin1, Betil Ozhak Baysan, Derya Mutlu

  • 1Akdeniz University Faculty of Medicine, Department of Medical Microbiology, Antalya, Turkey. betilozhak@yahoo.com.

Mikrobiyoloji Bulteni
|February 9, 2013
PubMed

Insights

Accurate identification of Enterococcus species is crucial for hospital infection control. Three commercial systems (Phoenix, API, and LightCycler Rt-PCR) showed high consistency with conventional methods for identifying these common bacteria.

Area of Science:

  • Clinical Microbiology
  • Infectious Diseases
  • Molecular Diagnostics

Background:

  • Enterococci are significant causes of hospital-acquired infections, necessitating accurate species-level identification.
  • Conventional identification methods for Enterococcus species are time-consuming and challenging in clinical settings.
  • Automated and molecular methods offer potential improvements over traditional techniques for bacterial identification.

Purpose of the Study:

  • To evaluate the performance of three commercial systems: Phoenix automated system, API Rapid ID 32 Strep, and LightCycler Enterococcus MGRADE real-time polymerase chain reaction (Rt-PCR).
  • To assess the accuracy of these systems for species-level identification of Enterococcus strains isolated from clinical specimens.
  • To compare the results obtained from commercial systems with conventional identification methods.

Main Methods:

  • Ninety vancomycin-susceptible Enterococcus strains from clinical specimens were identified using conventional methods.
  • The same strains were subsequently identified using the Phoenix automated system, API Rapid ID 32 Strep system, and LightCycler Enterococcus MGRADE kit (Rt-PCR).
  • Performance was evaluated by comparing the species-level identifications from each commercial system against the results from conventional methods.

Main Results:

  • The consistency rates of the Phoenix, API Rapid ID 32 Strep, and LightCycler Enterococcus MGRADE systems with conventional methods were 97.8% (88/90), 98.9% (89/90), and 92.2% (83/90), respectively.
  • Discrepancies were observed in the identification of certain strains between the methods, highlighting the importance of comparative evaluation.
  • All three commercial systems demonstrated high accuracy in identifying key Enterococcus species like E. faecalis and E. faecium.

Conclusions:

  • The Phoenix, API Rapid ID 32 Strep, and LightCycler Enterococcus MGRADE systems are suitable for routine species-level identification of Enterococci in clinical microbiology laboratories.
  • These commercial assays offer high compliance with conventional methods and provide same-day results, improving laboratory efficiency.
  • Accurate and rapid identification of Enterococcus species is vital for effective patient treatment and infection control strategies.