Minimal Impact of the <scp>COVID</scp>‐19 Pandemic on Disease Activity and <scp>Health‐Related</scp> Quality of Life in Patients With Ankylosing Spondylitis Receiving Bimekizumab: Exploratory Analyses From a Phase 2b <scp>Open‐Label</scp> Extension Study
Bibliographic record
Abstract
OBJECTIVE: The impact of the COVID-19 pandemic on patients with inflammatory rheumatic diseases, such as ankylosing spondylitis (AS), has been variable. Here, we assess disease activity and health-related quality of life (HRQoL) through the pandemic in patients with AS. METHODS: In the open-label extension (OLE) of the phase 2b BE AGILE study, patients with AS received 160 mg of subcutaneous bimekizumab every 4 weeks. We assessed Ankylosing Spondylitis Disease Activity Score with C-reactive protein (ASDAS-CRP), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Ankylosing Spondylitis Quality of Life (ASQoL) scores in the OLE immediately before and during the COVID-19 pandemic (September 2019 to April 2021). RESULTS: A total of 232 patients remained in the BE AGILE OLE and were included in this post hoc study at the start of the analysis period (September 1, 2019); 12 patients had a COVID-19 treatment-emergent adverse event, and no cases resulted in death. The number of missed bimekizumab doses due to COVID-19 (11 doses) was minimal, and missed assessments remained low (≤5%) compared with the prepandemic period. Mean ASDAS-CRP (1.8), BASDAI (2.4), and ASQoL scores (2.8) in the OLE were low at pre-pandemic baseline and remained stable at 1.7 to 1.8, 2.2 to 2.4, and 2.0 to 2.8, respectively, across successive 3-month periods immediately before and during the pandemic. ASDAS-CRP, BASDAI, and ASQoL stability was consistent across major study countries. CONCLUSION: Disease activity and HRQoL remained stable during the COVID-19 pandemic in patients with AS receiving bimekizumab in the BE AGILE OLE, with no indication of negative effects on these outcomes.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".