Type-2 biomarker elevation across asthma treatment steps in the ORACLE patient-level meta-analysis of all-comer trials
<bold>Rationale:</bold> The relationship between asthma treatment step and prevalence of raised blood eosinophil counts (BEC) and exhaled nitric oxide (FeNO) is unclear. <bold>Aim:</bold> To assess the proportion of trial patients with raised baseline BEC and FeNO across asthma treatment steps. <bold>Methods:</bold> We included participants from the control arms of 13 randomised controlled asthma trials not enriching for biomarkers (Novel START, PRACTICAL, CAPTAIN, Dupilumab phase 2b, LAVOLTA 1-2, LUTE-VERSE, MILLY, PACT, QUEST, STRATOS 1-2; all part of the OxfoRd Asthma attaCk risk scaLE (ORACLE) patient-level meta-analysis). Proportions of patients were tabulated for baseline BEC×FeNO categories per treatment step. A proportion test assessed differences in biomarker prevalence across steps in 10 imputed datasets. <bold>Results:</bold> 4292 patients were included. Raised biomarkers occurred significantly more in mild asthma (Fig). Baseline BEC and FeNO elevation (≥0.3×109/L and ≥50 ppb) was observed in n=61/315 (27%) of step 1, 63/315 (20%) of step 2, 50/846 (6%) of step 3, 175/1635 (11%) of step 4, and 158/1271 (12%) of step 5 populations (p<2.2E-16). <bold>Conclusion:</bold> In unselected clinical trial populations, BEC and FENO elevation is seen more often in less intensely treated asthma. These results highlight the complexity between type-2 biomarker status, treatment, and clinical impact. <bold>Prospero:</bold> CRD42021245337; <bold>Funding:</bold> NIHR, QRHRN, FRQS, APQ, SAB, LUF <fig><object-id>erj;64/suppl_68/PA1210/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>
Authors
- C.A. Celis-Preciado (ORCID: https://orcid.org/0000-0001-8405-4513)
- Jacob K. Sont (ORCID: https://orcid.org/0000-0002-5840-0651)
- Neil A. Martin (ORCID: https://orcid.org/0000-0002-6565-4131)
- Jonathan Corren (ORCID: https://orcid.org/0000-0001-5951-3239)
- Nicola A. Hanania (ORCID: https://orcid.org/0000-0003-3087-9530)
- Sanjay Ramakrishnan (ORCID: https://orcid.org/0000-0002-3003-7918)
- Mario Castro (ORCID: https://orcid.org/0000-0001-6328-8994)
- Timothy Hinks (ORCID: https://orcid.org/0000-0003-0699-2373)
- Fleur L. Meulmeester (ORCID: https://orcid.org/0000-0002-8910-9795)
- Emilio Santoro
- Guy Bruselle
- Megan Hardin (ORCID: https://orcid.org/0000-0001-7622-9598)
- Christopher Edward Brightling (ORCID: https://orcid.org/0000-0002-9345-4903)
- Annette Laugerud
- Jo Hardy
- D. J. Jackson (ORCID: https://orcid.org/0000-0001-6227-8524)
- Richard Beasley (ORCID: https://orcid.org/0000-0003-0337-406X)
- Michael Wechsler
- Cécile Holweg (ORCID: https://orcid.org/0000-0002-8983-6669)
- Sarah Diver (ORCID: https://orcid.org/0000-0002-5803-5121)
- Simon Couillard (ORCID: https://orcid.org/0000-0002-4057-6886)
- Xavier Jaumont (ORCID: https://orcid.org/0000-0002-4197-1634)
- Ian Pavord (ORCID: https://orcid.org/0000-0002-4288-5973)
- Ewout W. Steyerberg (ORCID: https://orcid.org/0000-0002-7787-0122)
- Deborah Clarke
- Chris Compton
Institutions
- AstraZeneca (United Kingdom) (GB)
- North Bristol NHS Trust (GB)
- Université de Sherbrooke (CA)
- University of Leicester (GB)
- University of California, Los Angeles (US)
- The University of Western Australia (AU)
- Baylor College of Medicine (US)
- GlaxoSmithKline (United Kingdom) (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
- Leiden University Medical Center (NL)
- Ghent University Hospital (BE)
- National Jewish Health (US)
- University of Oxford (GB)
- AVEO Oncology (United States) (US)
- Acentech (United States) (US)
- Prognos (Switzerland) (CH)
- University of Kansas Medical Center (US)
- Medical Research Institute of New Zealand (NZ)
- Science Oxford (GB)
- University of Colorado Denver (US)
Publication Details
- Published
- 2024-09-14
- DOI
- https://doi.org/10.1183/13993003.congress-2024.pa1210
- Primary Topic
- Delphi Technique in Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00