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Record W4414160467 · doi:10.1128/spectrum.02181-25

Combined oropharyngeal nasal (ON) swabs for the molecular detection of respiratory pathogens including <i>M. pneumoniae</i> in symptomatic children

2025· article· en· W4414160467 on OpenAlexaff
Iryna Kayda, Nicole Watson, Mai‐Lei Woo Kinshella, Jennifer Cochrane, Neil Desai, Michelle Dittrick, Linda Hoang, Michael Hawkes, Garth Meckler, Vikram Sabhaney, Jonathan B. Gubbay, Miguel Imperial, Jocelyn A. Srigley, Lynne Li, David A. Goldfarb

Bibliographic record

VenueMicrobiology Spectrum · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsCommunity Based Research CentreChildren's & Women's Health Centre of British ColumbiaB.C. Women's Hospital & Health CentreBC Children's HospitalBC Centre for Disease ControlUniversity of British Columbia
Fundersnot available
KeywordsGeneXpert MTB/RIFIncidence (geometry)Confidence intervalRespiratory systemRespiratory tract infectionsSputum

Abstract

fetched live from OpenAlex

ABSTRACT This study aimed to evaluate the diagnostic yield and acceptability of parent-/caregiver-collected oropharyngeal nasal (ON) swabs compared with healthcare worker (HCW)-collected nasopharyngeal (NP) swabs for detecting respiratory viruses and Mycoplasma pneumoniae in children. Symptomatic children (0–4 years) presenting to the BC Children’s Hospital Emergency Department provided HCW-collected NP and caregiver-collected ON swabs. Acceptability was assessed using a 5-point Likert scale. Samples were tested using the SARS-CoV-2/Influenza A + B/RSV GeneXpert assay, and a subset was tested on the BioFire respiratory panel (RP) 2.1 during the initial research phase. In a subsequent implementation phase during a high incidence of M. pneumoniae , paired ON and NP swabs were collected and tested on the RP 2.1 in a quality improvement initiative. All M. pneumoniae -positive samples underwent testing for cycle threshold values. We analyzed 139 pairs from the research phase and 219 from the implementation phase. Detection rates for SARS-CoV-2, influenza A/B, and RSV were similar across swab types. Of 273 pairs tested on BioFire, ON swabs demonstrated significantly higher detection of M. pneumoniae (sensitivity of 94%, confidence interval [CI] [86, 98] ON vs 64% [61–75] NP, P = 0.0020) and comparable detection for other pathogens. Caregivers rated ON swab collection as more acceptable than NP swabs (median 4.5 [4–5] vs 2 [IQR 1–3], P < 0.0001). ON swab performance was similar to NP swabs for the detection of respiratory viruses and showed improved diagnostic yield of M. pneumoniae . Given their higher acceptability ratings, ON swabs should be considered as a less-invasive diagnostic option for children. IMPORTANCE The current clinical standard for diagnosing respiratory infections in children typically requires a nasopharyngeal (NP) swab, which may be uncomfortable for the patient and must be collected by a healthcare worker. This study presents a less-invasive option, an oropharyngeal nasal (ON) swab collected by a parent or caregiver, that has comparable detection for common respiratory viruses and improved detection for Mycoplasma pneumoniae , a common but treatable cause of childhood pneumonia. Additionally, parents/caregivers rated ON swabs as significantly more acceptable than NP swabs on a scale of 1 to 5. Given the increased acceptability and superior detection of treatable M. pneumoniae , ON swabs are a patient-centered alternative to NP swabs and should be considered as a preferred diagnostic option for children.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.314
Teacher spread0.296 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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