Real World Biologic Use and Switch Patterns in Severe Asthma: Data from the International Severe Asthma Registry and the US CHRONICLE Study
Bibliographic record
Abstract
Andrew N Menzies-Gow,1 Claire McBrien,2 Bindhu Unni,3 Celeste M Porsbjerg,4 Mona Al-Ahmad,5 Christopher S Ambrose,6 Karin Dahl Assing,7 Anna von Bülow,4 John Busby,8 Borja G Cosio,9 J Mark FitzGerald,10 Esther Garcia Gil,11 Susanne Hansen,12 Liam G aHeaney,8 Mark Hew,13,14 David J Jackson,15,16 Maria Kallieri,17 Stelios Loukides,17 Njira L Lugogo,18 Andriana I Papaioannou,17 Désirée Larenas-Linnemann,19 Wendy C Moore,20 Luis A Perez-de-Llano,21 Linda M Rasmussen,22 Johannes M Schmid,23 Salman Siddiqui,24 Marianna Alacqua,25 Trung N Tran,6 Charlotte Suppli Ulrik,26 John W Upham,27 Eileen Wang,28,29 Lakmini Bulathsinhala,3,30 Victoria A Carter,3,30 Isha Chaudhry,3,30 Neva Eleangovan,3,30 Ruth B Murray,3,30 Chris A Price,3,30 David B Price3,30,31 1UK Severe Asthma Network and National Registry, Royal Brompton & Harefield Hospitals, London, UK; 2Kingston Hospital, London, UK; 3Observational and Pragmatic Research Institute, Singapore, Singapore; 4Respiratory Research Unit, Bispebjerg University Hospital, Copenhagen, Denmark; 5Al-Rashed Allergy Center, Ministry of Health, Microbiology Department, Faculty of Medicine, Kuwait University, Kuwait, Kuwait; 6AstraZeneca, Gaithersburg, MD, USA; 7Department of Respiratory Medicine, Aalborg University Hospital, Aalborg, Denmark; 8UK Severe Asthma Network and National Registry, Queen’s University Belfast, Belfast, Northern Ireland; 9Son Espases University Hospital-IdISBa-Ciberes, Mallorca, Spain; 10The Centre for Lung Health, Vancouver Coastal Health Research Institute, UBC, Vancouver, Canada; 11AstraZeneca, Barcelona, Spain; 12Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark; 13Allergy, Asthma & Clinical Immunology Service, Alfred Health, Melbourne, Australia; 14Public Health and Preventive Medicine, Monash University, Melbourne, Australia; 15UK Severe Asthma Network andNational Registry, Guy’s and St Thomas’ NHS Trust, London, UK; 16School of Immunology & Microbial Sciences, King’s College London, London, UK; 17 2nd Respiratory Medicine Department, National and Kapodistrian University of Athens Medical School, Attikon University Hospital, Athens, Greece; 18Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA; 19Directora Centro de Excelencia en Asma y Alergia, Hospital Médica Sur, Ciudad de México, Mexico; 20Pulmonary, Critical Care, Allergy, and Immunologic Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA; 21Department of Respiratory Medicine, Hospital Universitario Lucus Augusti, Lugo, Spain; 22Allergy Clinic, Department of Dermato-Allergology, Gentofte Hospital, Copenhagen, Denmark; 23University Hospital of Aarhus, Aarhus, Denmark; 24University of Leicester, Department of Respiratory Sciences & NIHR Leicester Biomedical Research Centre (Respiratory Theme), Leicester, UK; 25AstraZeneca, Cambridge, UK; 26Department of Respiratory Medicine, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark; 27Diamantina Institute & PA-Southside Clinical Unit, The University of Queensland, Brisbane, Australia; 28Division of Allergy & Clinical Immunology, Department of Medicine, National Jewish Health, Denver, CO, USA; 29Division of Allergy & Clinical Immunology, Department of Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA; 30Optimum Patient Care, Cambridge, UK; 31Centre of Academic Primary Care, Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UKCorrespondence: David B PriceObservational and Pragmatic Research Institute, 22 Sin Ming Lane, #06 Midview City, Singapore, 573969 Tel +65 3105 1489Email dprice@opri.sgIntroduction: International registries provide opportunities to describe use of biologics for treating severe asthma in current clinical practice. Our aims were to describe real-life global patterns of biologic use (continuation, switches, and discontinuations) for severe asthma, elucidate reasons underlying these patterns, and examine associated patient-level factors.Methods: This was a historical cohort study including adults with severe asthma enrolled into the International Severe Asthma Registry (ISAR; http://isaregistries.org, 2015– 2020) or the CHRONICLE Study (2018– 2020) and treated with a biologic. Eleven countries were included (Bulgaria, Canada, Denmark, Greece, Italy, Japan, Kuwait, South Korea, Spain, UK, and USA). Biologic utilization patterns were defined: 1) continuing initial biologic; 2) stopping biologic treatment; or 3) switching to another biologic. Reasons for discontinuation/switching were recorded and comparisons drawn between groups.Results: A total of 3531 patients were included. Omalizumab was the most common initial biologic in 2015 (88.2%) and benralizumab in 2019 (29.6%). Most patients (79%; 2791/3531) continued their first biologic; 10.2% (356/3531) stopped; 10.8% (384/3531) switched. The most frequent first switch was from omalizumab to an anti–IL-5/5R (49.6%; 187/377). The most common subsequent switch was from one anti–IL-5/5R to another (44.4%; 20/45). Insufficient efficacy and/or adverse effects were the most frequent reasons for stopping/switching. Patients who stopped/switched were more likely to have a higher baseline blood eosinophil count and exacerbation rate, lower lung function, and greater health care resource utilization.Conclusion: The description of real-life patterns of continuing, stopping, or switching biologics enhances our understanding of global biologic use. Prospective studies involving structured switching criteria could ascertain optimal strategies to identify patients who may benefit from switching.Keywords: severe asthma, biologics, prescribing, cohort study, management, international
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".