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Characterization of Cough Phenotypes and Mannitol Evoked Coughs in Refractory and Unexplained Chronic Cough

2025· article· en· W4410268289 on OpenAlexaff
Imran Satia, Lorcan McGarvey, Alyn H. Morice, S.S. Birring, Stella M. Davies, Gary N. Gross, John D. Brannan, Jianxing He, Yukun Wen, John Paul Oliveria, Paula Belloni

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineChronic coughRefractory (planetary science)MannitolPhenotypeIntensive care medicineAnesthesiaInternal medicineAsthmaGenetics

Abstract

fetched live from OpenAlex

Abstract Introduction: Refractory chronic cough (RCC) poses significant diagnostic and therapeutic challenges characterized by persistent coughing that fails to respond to standard treatments. RCC is often associated with conditions like asthma and gastroesophageal reflux disease (GERD), but in many patients it can be unexplained chronic cough (UCC). The underlying mechanism is thought to be cough hypersensitivity syndrome, but it is unclear if this is consistent across subgroups of RCC/UCC and whether this can be identified. Mannitol, a dry powder bronchial challenge agent, induces both airway bronchoconstriction and cough, yet its effects across different RCC/UCC phenotypes remain poorly understood. This study aims to characterize the baseline demographics and clinical profiles of RCC/UCC patients and investigate their responses to mannitol-evoked cough and airway hyper-responsiveness (AHR).Methods: Patients diagnosed with RCC (≥1-year duration) with demonstrated hypersensitivity to inhaled mannitol (cough dose ratio [CDR] ≥ 12 participated in this Phase 2a study assessing a novel TRPA-1 antagonist (GDC6599, NCT05660850). Patients were categorized into RCC-asthma (atopic, n=6; non-atopic, n=8), RCC-GERD (n=12), and UCC (n=15). Assessments included demographics, 24-hour cough frequency, cough severity on a 0-100mm visual analog scale (VAS), Hull Airway Reflux Questionnaire (HARQ) scores, mannitol-evoked cough dose ratio (CDR/100mg mannitol) and airway hyperresponsiveness (AHR; PD15), mannitol response dose ratio (RDR), FEV1, asthma control questionnaire (ACQ-5), fractional exhaled nitric oxide (FeNO), and blood eosinophil count. Spearman correlation between b assessments were explored.Results: Forty-three patients were recruited (age, sex, cough duration, BMI). VAS and HARQ scores indicated significant symptom burden across all subgroups, with the highest HARQ observed in GERD (median 49, IQR: 38.2, 55.8). Median baseline FEV1, FeNO, and blood eosinophil counts were within normal range. The 24-hour awake cough count was high across all subgroups. Mannitol-induced AHR (achieving a PD15) was present in 13 patients (30%), with asthma showing a higher frequency (43%) and lower PD15 dose (median 73; min, max: 7, 345) compared to the overall population. The correlation between 24-hour cough frequency with CDR was weak, and no correlation between cough frequency with markers of inflammation. CDR modestly correlated with RDR (R=0.54 suggesting a possible relationship between mannitol induced airway hyperresponsiveness and cough hypersensitivityConclusions: Spontaneous cough is an independent neuro-phenotype in patients with RCC/UCC. Results should be interpreted cautiously due to the small sample size, but suggest airway and cough hypersensitivity to mannitol are modestly correlated and may contribute to increased cough burden in patients with CC.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.015
GPT teacher head0.334
Teacher spread0.319 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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