Session Type: ePosters
Session Title: ePosters
Authors(s): S.Y. Yu, X. Chen, Y. Xu
Authors Affiliations(s): Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, China
Background:
Anaerobic bacteria routine identification is time-consuming and expensive, and low accuracy. This study aimed to evaluate the accuracy of VITEK MS, Clin-ToF-II MS, Autof MS 1000, M-Discover 100 and VITEK 2 ANC card for Identification Anaerobic pathogens.
Methods:A total of 241 isolates of anaerobic isolates were identified with the Bruker MS, VITEK MS, Clin-ToF-II MS, Autof MS 1000, M-Discover 100, and VITEK 2 ANC card. 16S rRNA gene sequencing as a reference method for identification.
Results:In total, 80.1%, 90.0%, 95.4%, 90.5% and 75.5% of the isolates were identified by VITEK MS, Bruker MS, Autof MS 1000, M-Discover 100, Clin- ToF II MS at the species level vs 77.6% using the VITEK 2 ANC card. At the genus level, the accurate rates of identification Anaerobia were all greater than 93.36%. Autof MS and M-Discover 100 MS were provided accurate identification at species level（>90% of isolates）. The identification ability of anaerobic of four MALDI-TOF MS better than VITEK 2 ANC. Significantly, whether MALDI-TOF MS or VITEK 2 ANC all disidentified some strains.
Conclusions:All the four MALDI-TOF MS systems provided high accurate rate on the identification of anaerobic pathogens. But extensive databases and accuracy algorithm arithmetic were required to improve the accuracy of anaerobic bacteria.
Session Type: ePosters
Session Title: ePosters
Authors(s): S.Y. Yu, X. Chen, Y. Xu
Authors Affiliations(s): Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, China
Background:
Anaerobic bacteria routine identification is time-consuming and expensive, and low accuracy. This study aimed to evaluate the accuracy of VITEK MS, Clin-ToF-II MS, Autof MS 1000, M-Discover 100 and VITEK 2 ANC card for Identification Anaerobic pathogens.
Methods:A total of 241 isolates of anaerobic isolates were identified with the Bruker MS, VITEK MS, Clin-ToF-II MS, Autof MS 1000, M-Discover 100, and VITEK 2 ANC card. 16S rRNA gene sequencing as a reference method for identification.
Results:In total, 80.1%, 90.0%, 95.4%, 90.5% and 75.5% of the isolates were identified by VITEK MS, Bruker MS, Autof MS 1000, M-Discover 100, Clin- ToF II MS at the species level vs 77.6% using the VITEK 2 ANC card. At the genus level, the accurate rates of identification Anaerobia were all greater than 93.36%. Autof MS and M-Discover 100 MS were provided accurate identification at species level（>90% of isolates）. The identification ability of anaerobic of four MALDI-TOF MS better than VITEK 2 ANC. Significantly, whether MALDI-TOF MS or VITEK 2 ANC all disidentified some strains.
Conclusions:All the four MALDI-TOF MS systems provided high accurate rate on the identification of anaerobic pathogens. But extensive databases and accuracy algorithm arithmetic were required to improve the accuracy of anaerobic bacteria.
Session Type: ePosters
Session Title: ePosters
Authors(s): S.Y. Yu, X. Chen, Y. Xu
Authors Affiliations(s): Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, China
Background:
Anaerobic bacteria routine identification is time-consuming and expensive, and low accuracy. This study aimed to evaluate the accuracy of VITEK MS, Clin-ToF-II MS, Autof MS 1000, M-Discover 100 and VITEK 2 ANC card for Identification Anaerobic pathogens.
Methods:A total of 241 isolates of anaerobic isolates were identified with the Bruker MS, VITEK MS, Clin-ToF-II MS, Autof MS 1000, M-Discover 100, and VITEK 2 ANC card. 16S rRNA gene sequencing as a reference method for identification.
Results:In total, 80.1%, 90.0%, 95.4%, 90.5% and 75.5% of the isolates were identified by VITEK MS, Bruker MS, Autof MS 1000, M-Discover 100, Clin- ToF II MS at the species level vs 77.6% using the VITEK 2 ANC card. At the genus level, the accurate rates of identification Anaerobia were all greater than 93.36%. Autof MS and M-Discover 100 MS were provided accurate identification at species level（>90% of isolates）. The identification ability of anaerobic of four MALDI-TOF MS better than VITEK 2 ANC. Significantly, whether MALDI-TOF MS or VITEK 2 ANC all disidentified some strains.
Conclusions:All the four MALDI-TOF MS systems provided high accurate rate on the identification of anaerobic pathogens. But extensive databases and accuracy algorithm arithmetic were required to improve the accuracy of anaerobic bacteria.
Session Type: ePosters
Session Title: ePosters
Authors(s): S.Y. Yu, X. Chen, Y. Xu
Authors Affiliations(s): Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, China
Background:
Anaerobic bacteria routine identification is time-consuming and expensive, and low accuracy. This study aimed to evaluate the accuracy of VITEK MS, Clin-ToF-II MS, Autof MS 1000, M-Discover 100 and VITEK 2 ANC card for Identification Anaerobic pathogens.
Methods:A total of 241 isolates of anaerobic isolates were identified with the Bruker MS, VITEK MS, Clin-ToF-II MS, Autof MS 1000, M-Discover 100, and VITEK 2 ANC card. 16S rRNA gene sequencing as a reference method for identification.
Results:In total, 80.1%, 90.0%, 95.4%, 90.5% and 75.5% of the isolates were identified by VITEK MS, Bruker MS, Autof MS 1000, M-Discover 100, Clin- ToF II MS at the species level vs 77.6% using the VITEK 2 ANC card. At the genus level, the accurate rates of identification Anaerobia were all greater than 93.36%. Autof MS and M-Discover 100 MS were provided accurate identification at species level（>90% of isolates）. The identification ability of anaerobic of four MALDI-TOF MS better than VITEK 2 ANC. Significantly, whether MALDI-TOF MS or VITEK 2 ANC all disidentified some strains.
Conclusions:All the four MALDI-TOF MS systems provided high accurate rate on the identification of anaerobic pathogens. But extensive databases and accuracy algorithm arithmetic were required to improve the accuracy of anaerobic bacteria.