Risk of cardiovascular and autoimmune disease in people with multiple sclerosis on long-term interferon-β therapy
Bibliographic record
Abstract
Abstract Chronically elevated type I interferons (−β and -α) can induce atherosclerosis and autoimmunity but whether this link translates into adverse events in interferon-β users with multiple sclerosis is unknown. We therefore aimed to determine whether long-term interferon-β exposure increases the risk of cardiovascular and autoimmune disease in a Canadian population-based cohort with linked hospital/physician visits and filled prescriptions. People with multiple sclerosis were included from the most recent of (i) first diagnostic code or disease-modifying therapy or (ii) prescription data availability (1/JAN/1996), and followed until the earliest of outcome, emigration, death or study end (31/DEC/2017). Associations were tested using stratified Cox regressions with time-dependent covariates. The cohort included 19 360 people with multiple sclerosis followed for a median duration of 11.2 years (Q1-Q3: 5.1–18.7), of whom 3138 (16.2%) ever used an interferon-β. Longer interferon-β therapy was associated with a higher incidence of cardiovascular disease (per 5-year longer treatment: hazard ratio = 1.18; 95% confidence interval: 1.02, 1.37; P = 0.026) but not with autoimmunity (hazard ratio = 0.74; 95% confidence interval: 0.49, 1.11; P = 0.139). This new safety signal should encourage clinicians to optimize cardiovascular prevention in people with multiple sclerosis and may be considered when discussing treatment options in interferon-β users who are at high risk or with established cardiovascular disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".