Evaluation of VITEK 2 system and VITEK MS system for the identification of Haemophilus species: a diagnostic accuracy study
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Background: Haemophilus is an important pathogen in community-acquired pneumoniaand invasive diseases, such as sepsis and meningitis. We aimed to evaluate the VITEK 2system and VITEK MS system for the identification of Haemophilus strains isolated fromclinical specimens in Korea during 2023. Methods: In total, 118 Haemophilus strains isolated from respiratory specimens (n = 107) andblood samples (n = 11) from 10 sentinel hospitals in Kor-GLASS were included in this study. All Haemophilus strains were evaluated using the VITEK 2 and VITEK MS systems. Real-timePCR and 16S rRNA sequencing were used to identify specific species. Results: Among the 118 Haemophilus isolates, 115 were identified as H. influenzae by realtime PCR using hpd gene, and the remaining three strains were identified as H. parainfluenzaeby 16S rRNA sequencing. Eighty-eight of the 115 (76.5%) and two of three (66.7%) isolateswere correctly identified as H. influenzae and H. parainfluenzae, respectively, using the VITEK2 system. The VITEK 2 system showed low discrimination (n = 22), misidentification (n = 4), and unidentified organisms (n = 2) in the 28 Haemophilus strains. The VITEK MS systemachieved 100% sensitivity and specificity in identifying all 115 H. influenzae and three H. parainfluenzae isolates. Conclusion: The VITEK MS system showed excellent performance in the identification ofH. influenzae and H. parainfluenzae, whereas the VITEK 2 system showed relatively lowconcordance.
Abstract
Background: Haemophilus is an important pathogen in community-acquired pneumoniaand invasive diseases, such as sepsis and meningitis. We aimed to evaluate the VITEK 2system and VITEK MS system for the identification of Haemophilus strains isolated fromclinical specimens in Korea during 2023. Methods: In total, 118 Haemophilus strains isolated from respiratory specimens (n = 107) andblood samples (n = 11) from 10 sentinel hospitals in Kor-GLASS were included in this study. All Haemophilus strains were evaluated using the VITEK 2 and VITEK MS systems. Real-timePCR and 16S rRNA sequencing were used to identify specific species. Results: Among the 118 Haemophilus isolates, 115 were identified as H. influenzae by realtime PCR using hpd gene, and the remaining three strains were identified as H. parainfluenzaeby 16S rRNA sequencing. Eighty-eight of the 115 (76.5%) and two of three (66.7%) isolateswere correctly identified as H. influenzae and H. parainfluenzae, respectively, using the VITEK2 system. The VITEK 2 system showed low discrimination (n = 22), misidentification (n = 4), and unidentified organisms (n = 2) in the 28 Haemophilus strains. The VITEK MS systemachieved 100% sensitivity and specificity in identifying all 115 H. influenzae and three H. parainfluenzae isolates. Conclusion: The VITEK MS system showed excellent performance in the identification ofH. influenzae and H. parainfluenzae, whereas the VITEK 2 system showed relatively lowconcordance.
