Safety and Healthcare Use Following COVID-19 Vaccination Among Adults With Rheumatoid Arthritis: A Population-Based Self-Controlled Case Series Analysis
Bibliographic record
Abstract
OBJECTIVE: To determine if coronavirus disease 2019 (COVID-19) vaccines were associated with adverse events of special interest (AESIs) and healthcare use among adults with rheumatoid arthritis (RA). METHODS: Among adults with RA who received at least 1 COVID-19 vaccine, a self-controlled case series (SCCS) analysis was conducted to evaluate relative incidence (RI) rates of AESIs (Bell palsy, idiopathic thrombocytopenia, acute disseminated encephalomyelitis, pericarditis/myocarditis, Guillain-Barré syndrome, transverse myelitis, myocardial infarction, anaphylaxis, stroke, deep vein thrombosis, pulmonary embolism, narcolepsy, appendicitis, and disseminated intravascular coagulation) in any 21-day period following vaccination compared to control periods. Secondary outcomes included emergency department (ED) visits, hospitalizations, and rheumatology visits. A matched non-RA comparator group was created and a separate SCCS analysis was conducted. RI ratios (RIRs) were used to compare RA and non-RA groups. RESULTS: Among 123,466 patients with RA and 493,864 comparators, the majority received mRNA vaccines. For patients with RA, relative to control periods, AESIs were not increased. ED visits increased after dose 2 (RI 1.06, 95% CI 1.03-1.10) and decreased after dose 3 (RI 0.93, 95% CI 0.89-0.96). Hospitalizations were lower after the first (RI 0.83, 95% CI 0.78-0.88), second (RI 0.86, 95% CI 0.81-0.92), and third (RI 0.89, 95% CI 0.83-0.95) doses. Rheumatology visits increased after dose 1 (RI 1.08, 95% CI 1.07-1.10), and decreased after doses 2 and 3. Relative to comparators, patients with RA had a higher AESI risk after dose 3 (RIR 1.28, 95% CI 1.05-1.56). Patients with RA experienced fewer ED visits (RIR 0.73, 95% CI 0.58-0.90) and hospitalizations (RIR 0.52, 95% CI 0.36-0.75) after dose 4. CONCLUSION: COVID-19 vaccines in patients with RA were not associated with an increase in AESI risk or healthcare use after every dose.
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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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".