Risk Factors for Bleeding in Patients with Nonvalvular Atrial Fibrillation Who Are Receiving Anticoagulant Therapy with Ximelagatran or Warfarin: Findings from the SPORTIF III and V Trials.
Bibliographic record
Abstract
Abstract Background: Ximelagatran is a novel oral direct thrombin inhibitor that is as effective as warfarin in preventing stroke and other thromboembolic complications in patients with nonvalvular atrial fibrillation (AF). Risk factors for bleeding with warfarin are known, but risk factors for bleeding with ximelagatran have not been described. Unlike warfarin, ximelagatran has a predictable anticoagulant effect, does not require anticoagulation monitoring, has a low potential for interactions with drugs, food, or alcohol, and is not affected by genetic polymorphisms. We undertook an exploratory analysis of a large patient database to identify conventional and novel risk factors for bleeding in ximelagatran-treated patients, in warfarin-treated patients, and in all patients, irrespective of treatment. Methods: We undertook a pooled analysis of the SPORTIF III and V trials trials, which included 7329 patients with nonvalvular AF who received oral ximelagatran, 36 mg twice daily, or warfarin, administered to achieve a target international normalized ratio of 2.0–3.0. Patients had nonvalvular AF and 1 or more risk factors for stroke: hypertension; age ≥75 years; previous stroke, transient ischemic attack (TIA) or systemic embolism; left ventricular dysfunction; age ≥65 years and coronary artery disease; or age ≥65 years and diabetes mellitus. Major exclusion criteria were: mitral stenosis; previous heart valve surgery; transient AF; increased risk for bleeding. Multivariate logistic regression analysis was used to identify independent risk factors for major bleeding. The hazard ratio (HR) for major bleeding, and corresponding 95% confidence interval (CI), was calculated for each variable in the regression model. Results: The Table presents risk factors in which there was a significant or a non-significant (NS) association with major bleeding in ximelagatran-treated or warfarin-treated patients, and in the combined patient population. Risk factor Ximelagatran-treated patients, HR (95% CI) Warfarin-treated patients, HR (95% CI) Combined patient population, HR (95% CI) Aspirin use 1.65 (1.07, 2.55) 2.40 (1.69, 3.42) 1.96 (1.49, 2.58) Increasing age 1.03 (1.01, 1.05) 1.06 (1.03, 1.08) 1.04 (1.03, 1.06) Prior liver disease NS 4.96 (1.57, 15.62) NS Prior stroke or TIA 1.78 (1.16, 2.73) NS NS Diabetes mellitus 1.80 (1.18, 2.75) NS 1.39 (1.05, 1.86) Asian race NS NS 1.99 (1.16, 3.42) Statin use 0.62 (0.39, 0.97) 0.61 (0.42, 0.88) 0.62 (0.39, 0.97) Conclusions: Overall, the bleeding risk was lower with ximelagatran compared with warfarin. Aspirin use and increasing age were associated with an increased risk of bleeding in both ximelagatran- and warfarin-treated patients. Statin use was associated with a decreased risk for bleeding in both groups.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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".