ArticleJournal of clinical microbiology2024
Evaluation of the QIAstat-Dx BCID GN and GPF kits for direct identification and antimicrobial resistance prediction from blood culture bottles.
Article in Journal of clinical microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- An Evaluation of the ASTar Automated Antimicrobial Testing System for Gram-Negative Bacteria in Positive Blood Cultures.Antibiotics (Basel, Switzerland) · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid multiplex PCR kits have been used for rapid identification of blood culture isolates and prediction of antimicrobial resistance. We performed an evaluation of the QIAstat-Dx BCID GN and GPF research use only (RUO) kits on positive blood culture bottles using routine laboratory testing as the reference standard. Positive blood culture bottles between November 2023 and January 2024 were tested with QIAstat-Dx BCID GN and GPF kits based on initial Gram stain results and compared against routine identification and phenotypic susceptibility testing. A total of 174 monomicrobial blood cultures were included in the final analysis. The 174 monomicrobial blood cultures composed of 129 BCID GN tests and 45 BCID GPF tests. The majority of on-target Gram-negative organisms in monomicrobial cultures were identified. One IMPORTANCE: This is one of the first evaluations of the QIAstat BCID kit and demonstrates high levels of correlation for both identification and antimicrobial resistance prediction.
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