Evaluation of VITEK 2 system and VITEK MS system for the identification of Haemophilus species: a diagnostic accuracy study
Year: 2025
Type: article
Abstract: Background: Haemophilus is an important pathogen in community-acquired pneumonia and invasive diseases, such as sepsis and meningitis. We aimed to evaluate the VITEK 2 system and VITEK MS system for the identification of Haemophilus strains isolated from clinical specimens in Korea during 2023. Methods: In total, 118 Haemophilus strains isolated from respiratory specimens (n = 107) and blood 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-time PCR 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. parainfluenzae by 16S rRNA sequencing. Eighty-eight of the 115 (76.5%) and two of three (66.7%) isolates were correctly identified as H. influenzae and H. parainfluenzae, respectively, using the VITEK 2 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 system achieved 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 of H. influenzae and H. parainfluenzae, whereas the VITEK 2 system showed relatively low concordance.
Source: Annals of Clinical Microbiology
Institutions: Inje University, Inje University Busan Paik Hospital, Chonnam National University, Wonkwang University, Yonsei University, Yonsei University Health System, Hallym University Dongtan Sacred Heart Hospital, National Health Insurance Service Ilsan Hospital, Jeju National University, Keimyung University, Chungbuk National University, Yonsei University Mirae Campus
Language: English
Subfield: Clinical Biochemistry
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $191
Awards: G1641066088, G3564203531
OpenAlex ID: W4413902825
