ArticleScientific reports2017
Comparison of four automated microbiology systems with 16S rRNA gene sequencing for identification of Chryseobacterium and Elizabethkingia species.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- Mortality Risk and Antibiotic Therapy for Patients with Infections Caused byMedicina (Kaunas, Lithuania) · 2024Pooled it
- Meningitis due to pandrug resistant Chryseobacterium gleum: microbiological cure and clinical response with linezolid-based combination therapy.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Review
- Clinical and environmental investigation of six cases of Chryseobacterium arthrosphaerae infections in a Southern Italian hospital.Scientific reports · 2025Article
- Clinical and Epidemiological Features and Antimicrobial Susceptibility Patterns ofMedicina (Kaunas, Lithuania) · 2025Article
- Identification, growth characteristics, and genomic potential analysis of indole-3-acetic acid producing strain D1 in the rhizosphere of ancient tea forests.Antonie van Leeuwenhoek · 2025Article
- Linalool exhibit antimicrobial ability againstCurrent research in microbial sciences · 2025Article
- Phenotypic markers misclassify isolates of Salmonella Typhimurium as S. Typhi, but were correctly identified by whole genome sequencing during a septicemia study in western Kenya.PLOS global public health · 2025Article
- In Vitro and In Vivo Antimicrobial Activities of Vancomycin and Rifampin againstInternational journal of molecular sciences · 2023Article
- Review on infection control strategies to minimize outbreaks of the emerging pathogen Elizabethkingia anophelis.Antimicrobial resistance and infection control · 2023Review
- Effect of Intragenomic Sequence Heterogeneity among Multiple 16S rRNA Genes on Species Identification ofMicrobiology spectrum · 2022Article
- Neonatal Meningitis with Septicemia byJournal of laboratory physicians · 2022Article
- Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022Article
- Antimicrobial Susceptibility ofJournal of clinical microbiology · 2022Article
- Epidemiology and Characteristics ofMicroorganisms · 2022Review
- Biofilm formation and antibiotic sensitivity inFrontiers in cellular and infection microbiology · 2022Article
- Characterization and Comparative Genomic Analysis of a Highly Colistin-ResistantFrontiers in cellular and infection microbiology · 2022Article
- Disinfection of Maternal Environments Is Associated with Piglet Microbiome Composition from Birth to Weaning.mSphere · 2021Article
- Oral Abscess Caused byAntibiotics (Basel, Switzerland) · 2021Article
- Susceptibility of Elizabethkingia spp. to commonly tested and novel antibiotics and concordance between broth microdilution and automated testing methods.The Journal of antimicrobial chemotherapy · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chryseobacterium and Elizabethkingia species have recently emerged as causative agents in life-threatening infections in humans. We aimed to evaluate the rates at which four common microbial identification systems identify Chryseobacterium and Elizabethkingia species in clinical microbiology laboratories. Based on the results of 16S rRNA gene sequencing, a total of 114 consecutive bacteremic isolates, including 36 (31.6%) C. indologenes, 35 (30.7%) E. anophelis, 22 (19.3%) C. gleum, 13 (11.4%) E. meningoseptica, and other species, were included in this study. The overall concordance between each method and 16S rRNA gene sequencing when identifying Chryseobacterium and Elizabethkingia species was 42.1% for API/ID32, 41.2% for Phoenix 100 ID/AST, 43.9% for VITEK 2, and 42.1% for VITEK MS. Among the 22 C. gleum isolates, only one (4.8%) was correctly identified using VITEK 2 and Phoenix 100 ID/AST, and none were accurately recognized using API/ID32 or VITEK MS. Except for two isolates that were not identified using API/ID32, all E. anophelis isolates were misidentified by all four identification systems as E. meningoseptica. Our results show that these approaches have low accuracy when identifying Chryseobacterium and Elizabethkingia species. Hence, we recommend amending the discrimination rate of and adding non-claimed pathogens to databases of microbial identification systems.
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