Ischemic Stroke and Systemic Embolism Among One-and-Done Direct Oral Anticoagulant Users with Non-valvular Atrial Fibrillation
Bibliographic record
Abstract
INTRODUCTION: Direct oral anticoagulants (DOACs) are essential in ischemic stroke/systemic embolism (SE) prevention among patients with nonvalvular atrial fibrillation (NVAF). This study compared the risk of ischemic stroke/SE among patients with NVAF who discontinued DOACs following the first fill ("one-and-done") relative to patients who continued DOACs beyond the first fill ("continuers"). METHODS: , April 1, 2017 to October 31, 2020, were used to identify adults with NVAF initiated on DOACs (index date). Patients with only one DOAC claim during the 90-day landmark period starting on the index date were classified as one-and-done and the remaining as continuers. Inverse probability of treatment weighting was used to balance baseline characteristics in the cohorts. Time from the landmark period end to the first ischemic stroke/SE event or, among those without the event, to clinical activity or data end was compared between balanced cohorts using survival analysis. RESULTS: Of patients initiating DOACs, 23.6% were classified as one-and-done users. After weighting was performed, 241,159 and 238,889 patients comprised the one-and-done and continuer cohorts, respectively. At 12 months of follow-up, the probability of ischemic stroke/SE was 1.44% in the one-and-done cohort and 1.00% in the continuer cohort [hazard ratio (95% confidence interval) 1.44 (1.34-1.54); p < 0.0001]. Results at earlier and later time points and in a sensitivity analysis with a 75-day landmark period were similar. CONCLUSION: A substantial proportion of patients were one-and-done DOAC users, which was associated with significantly higher risk of ischemic stroke/SE events. There is an unmet need to improve access and encourage continuous use of DOACs among patients with NVAF so that severe and fatal complications may be mitigated.
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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".