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Record W4414740718 · doi:10.1093/clinchem/hvaf086.351

A-367 Rapid and Sensitive Real-time RT-PCR Point-of-Care System for Detection and Differentiation of Influenza A and B, RSV, and SARS-CoV-2

2025· article· en· W4414740718 on OpenAlexaff
Rachel Behounek, Brigitte Beneteau, Willow Swinton, Nicola Carriglio, Elena Del Tordello, Sundaresh N. Brahmasandra, Giulia Minnucci, Janet Farhang

Bibliographic record

VenueClinical Chemistry · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsLuminex (Canada)
Fundersnot available
KeywordsVialVirusOrthomyxoviridaeInfluenza A virusRespiratory systemCartridgeInfection controlOutbreak

Abstract

fetched live from OpenAlex

Abstract Background Influenza A, influenza B, respiratory syncytial virus (RSV), and SARS-CoV-2 are leading causes of hospitalization, morbidity, and mortality across all age groups. Annual influenza outbreaks impose a global health and financial burden, while RSV is a primary cause of hospitalization in infants, toddlers, and high-risk adults. The COVID-19 pandemic, caused by SARS-CoV-2, critically highlighted the need for broadly accessible, rapid, and accurate diagnostic tools. Early point-of-care (POC) testing and treatment are crucial for managing infections, reducing severity and transmission, in addition to improving patient outcomes. The implementation of highly sensitive and rapid POC molecular diagnostics supports immediate clinical decisions, guiding antiviral therapy, and minimizing unnecessary antibiotic use as well as ensuring a faster, more effective response to viral respiratory outbreaks. This study evaluated the point-of-care FLU A/B, RSV & COVID-19 assay*, a real-time RT-PCR test that utilizes a dry nasal swab for identifying and differentiating influenza A, influenza B, RSV, & COVID-19 in patients with signs and symptoms of upper respiratory infection in less than 20 minutes. Methods Briefly, the nasal swab, used to collect the patient’s sample, is inserted into a sample vial containing 700 µL of buffer. The swab is then rotated in the buffer to release viral particles, and the shaft is snapped, leaving the swab head suspended in the sample vial. The contents of the sample vial are dispensed into the test cartridge containing all the reagents to amplify and differentiate influenza A, influenza B, RSV, SARS-CoV-2, and internal control RNA, and tested on the point-of-care instrument. Results The assay identified 28 influenza A strains, 14 influenza B strains, 10 SARS-CoV-2 strains, and 9 RSV strains with no cross-reactivity across 47 microorganisms tested during development. The performance of the assay was assessed in a pre-clinical study using self-collected and professionally collected nasal swabs in comparison with professionally collected nasal and nasopharyngeal swabs in UTM tested on the FDA-cleared LIAISON PLEX® Respiratory Flex assay. Samples from a total of 621 patients were tested at three sites across Australia during the 2024 respiratory season, with 605 nasal swab specimens and 318 nasopharyngeal swab specimens included in the analysis. Positive percent agreement (PPA) and negative percent agreement (NPA) were 95% or above for all four targets for both nasal and nasopharyngeal specimens. Conclusion The Flu A/B, RSV & COVID-19 quadruplex assay in a POC system is designed to deliver results quickly with minimal hands-on time. Development and pre-clinical studies demonstrated performances comparable to FDA-cleared molecular diagnostics. The use of dry swab reduces the risk of contamination, eliminating the need for transport media. Adoption of the point-of-care system in decentralized settings could enhance accessibility, streamline workflows and data connectivity, elevating the standard of care. *In development, performance characteristics have not been established.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.417
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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