Cardiovascular events observed among patients in the etrasimod clinical programme: an integrated safety analysis of patients with moderately to severely active ulcerative colitis
Bibliographic record
Abstract
OBJECTIVE: receptor expression on cardiac cells is involved in cardiac conduction. We report cardiovascular treatment-emergent adverse events (TEAEs) associated with S1P receptor modulators and other cardiovascular events in the etrasimod UC clinical programme. METHODS: Patients were analysed in the Placebo-controlled UC cohort and All UC cohort. Incidence rates (IRs, per 100 patient-years) of cardiovascular-related TEAEs associated with S1P receptor modulators, including bradycardia/atrioventricular (AV) block and hypertension, and other cardiovascular events, including coronary artery disease (CAD) and cerebrovascular disease (CVD), were analysed. RESULTS: In patients receiving etrasimod, cardiovascular-related TEAEs were infrequent (≤2.6% per AE). In the Placebo-controlled UC cohort, IRs (95% CIs) for cardiovascular-related TEAEs were higher for patients receiving etrasimod (n=577) vs placebo (n=314), respectively, for bradycardia/sinus bradycardia, 3.85 (1.58 to 6.13) vs 0 and AV block, 1.40 (0.03 to 2.76) vs 0; and numerically higher for hypertension, 5.31 (2.62 to 7.99) vs 3.40 (0.07 to 6.72). Most bradycardia/AV block events were reported on day 1. All bradycardia and hypertension TEAEs were non-serious. One serious second-degree AV block type 1 TEAE occurred in the etrasimod group; no events of second-degree AV block type 2 or higher were reported. One event each of CAD and CVD occurred in two patients receiving etrasimod. CONCLUSIONS: In the etrasimod UC clinical programme, IRs of cardiovascular-related TEAEs and other cardiovascular events were low. Most cardiovascular-related TEAEs were non-serious. TRIAL REGISTRATION NUMBERS: NCT02447302; NCT03945188; NCT03996369; NCT02536404; NCT03950232; NCT04176588.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".