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Record W4413878502 · doi:10.1016/j.jcf.2025.08.018

Biomarkers associated with clinical response to cystic fibrosis pulmonary exacerbation treatment and adjuvant prednisone therapy

2025· article· en· W4413878502 on OpenAlexafffund
Bradley S. Quon, Michelle Shaw, Hartmut Grasemann, Félix Ratjen, Valerie Waters

Bibliographic record

VenueJournal of Cystic Fibrosis · 2025
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsSickKids FoundationHospital for Sick ChildrenSt. Paul's HospitalUniversity of British Columbia Hospital
FundersCystic Fibrosis CanadaCystic Fibrosis Foundation
KeywordsMedicineCystic fibrosisPrednisoneExacerbationInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Cystic fibrosis (CF) pulmonary exacerbations are characterized by increased inflammation. The objectives of this study were to identify inflammatory biomarkers associated with 1) early clinical response to IV antibiotics (by day 7); and 2) response to the delayed use of prednisone (from day 7 to 14). METHODS: ; 2) absolute change in chronic respiratory infection symptom score (CRISS); and 3) composite outcome of absolute improvement in ppFEV1 of ≥ 8 % and CRISS score decrease by ≥ 11 (early responder analysis only). RESULTS: Higher Day 0 sputum IFN-γ and lower blood calprotectin were associated with improved Day 7 lung function response; lower Day 0 sputum IL-8 and blood eotaxin were associated with improved symptom scores. In non-responders at Day 7, higher blood eotaxin was associated with better lung function response and higher blood CRP was associated with worse symptom score response at Day 14 in those treated with prednisone versus placebo. CONCLUSION: Sputum and blood inflammatory markers are associated with early response to IV antibiotics and change with prednisone treatment during PEx.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.023
GPT teacher head0.344
Teacher spread0.321 · 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.

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 routes2
Has abstractyes

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