E066 Baseline characteristics of patients initiating ixekizumab, secukinumab or a tumour necrosis factor inhibitor by country in the 24-month Prospective Psoriatic Arthritis Observational Study of Persistence of Treatment - PRO-SPIRIT
Bibliographic record
Abstract
Abstract Background/Aims The Psoriatic Arthritis Observational Study of Persistence of Treatment (PRO-SPIRIT) is the first large-sample, multinational, prospective, observational study to provide real-world evidence for ixekizumab (IXE) in patients with psoriatic arthritis (PsA) who start a new biologic/targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD), with a primary end point of persistence at 24 months. Aims: To describe baseline characteristics of PRO-SPIRIT patients initiating or switching to IXE, secukinumab (SEC) or a tumour necrosis factor inhibitor (TNFi) in Canada (CA), France (FR), Germany (DE), Italy (IT), Spain (ES) and the United Kingdom (UK). Methods PRO-SPIRIT enrolled adults diagnosed with PsA (≥6 months) between December 2019 and June 2022 to be initiated or switched to a new b/tsDMARD, locally approved for the management of PsA. Baseline characteristics, including patient demographics, therapy and disease activity measures, are described here by country for patients initiating IXE, SEC (both IL-17A inhibitors) or a TNFi (adalimumab, etanercept, infliximab or biosimilar) only. Results This analysis included 943 patients (Table 1). The overall proportion of patients with BMI ≥30 mg/kg2 was highest in CA (67.2%) and lowest in IT (24.5%); across countries, higher proportions of patients initiating an IL-17A vs a TNFi had BMI ≥30 mg/kg2 (except IXE groups in IT, ES and UK). Higher proportions of patients initiating an IL-17A vs a TNFi were diagnosed with PsA ≥3 years before baseline (except SEC groups in DE and ES). The highest proportions of b/tsDMARD-naïve patients were observed in the TNFi groups in all countries (range 46.2% [CA] to 81.9% [UK]). Patients in the IL-17A groups were more likely to be on monotherapy than patients in the TNFi groups (except in FR). There were no clear trends in baseline disease activity for patients initiating IL-17As or TNFis, although country-specific differences were observed. Conclusion The PRO-SPIRIT baseline characteristics described offer important insights into country-specific patient demographics and treatment patterns when initiating or switching to a new b/tsDMARD in a real-world setting. Between-country variations observed in PRO-SPIRIT baseline characteristics may be due to differences in healthcare systems and/or the evolution of treatment options for patients with PsA in each country. Disclosure N. Gullick: Consultancies; AbbVie,Novartis, UCB. Honoraria; AbbVie, Eli Lilly, Janssen, Novartis, UCB. Grants/research support; AbbVie, Astra Zeneca, Eli Lilly, Novartis. M. Sheesh: Corporate appointments; Eli Lilly and Company. Shareholder/stock ownership; Eli Lilly and Company. C. Laedermann: Corporate appointments; Eli Lilly and Company. Shareholder/stock ownership; Eli Lilly and Company. M. Ngantcha: Corporate appointments; Eli Lilly and Company. Shareholder/stock ownership; Eli Lilly and Company. B. Gittens: Corporate appointments; Eli Lilly and Company. K. Ng: Corporate appointments; Eli Lilly and Company. Shareholder/stock ownership; Eli Lilly and Company. W. Tillett: Consultancies; Abbvie, Amgen, Eli Lilly and Company, GSK, Janssen, Novartis, Ono Pharma, Pfizer, UCB. Member of speakers’ bureau; AbbVie, Amgen, Eli Lilly and Company, GSK, Janssen, Novartis, Pfizer, UCB. Grants/research support; Janssen, UCB, Pfizer, Eli Lilly and Company. J. Morel: Consultancies; Pfizer, AbbVie, Boerhinger Ingelheim, Galapagos, GSK. Member of speakers’ bureau; Biogen, Amgen, Bristol Myers Squib, Eli Lilly and Company, Novartis, Sanofi, MSD, Mylan, Fresenius Kabi, Roche, Union Chimique Belge, Janssen, Medac, Nordic Pharma. Grants/research support; Fresenius Kabi. E. Lubrano: Member of speakers’ bureau; Abbvie, Janssen Cilag, Lilly, UCB, Pfizer, Novartis. R. Alten: Consultancies; AbbVie, BMS, Celltrion, Galapagos, Eli Lilly and Company, Novartis, Pfizer, Roche, UC. Member of speakers’ bureau; AbbVie, BMS, Celltrion, Galapagos, Eli Lilly and Company, Novartis, Pfizer, Roche, UCB. L. Kristensen: Consultancies; Pfizer, AbbVie, Amgen, UCB, Gilead, Biogen, BMS, MSD, Novartis, Eli Lilly and Company, Janssen. Member of speakers’ bureau; Pfizer, AbbVie, Amgen, UCB, Gilead, Biogen, BMS, MSD, Novartis, Eli Lilly and Company, Janssen. Grants/research support; Pfizer, Abb- Vie, UCB, Gilead, Biogen, Novartis, Eli Lilly and Company, Janssen. V. Chandran: Consultancies; AbbVie, Eli Lilly, Novartis, Amgen, Janssen. Grants/research support; AbbVie. A. Martinez-Ferrer: Grants/research support; Eli Lilly and Company. B. Kirkham: Consultancies; Abbvie, Eli Lilly and Company, Galapagos, Novartis. Member of speakers’ bureau; Abbvie, Eli Lilly and Company, Galapagos, Janssen, Novartis, Pfizer, UCB. Grants/research support; Eli Lilly and Company, Novartis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".