Bleeding rates in patients older than 90 years of age on vitamin K antagonist therapy for nonvalvular atrial fibrillation
Bibliographic record
Abstract
Extremely elderly patients are being treated with anticoagulant therapy with increasing frequency. We sought to assess the rates of bleeding in such patients and to carefully examine risk factors that might predict this bleeding. This was a prospective cohort study conducted from 1 January 2007 to 29 February 2008 at an anticoagulation clinic in Modena, Italy. Ninety patients, 90 years or older, among 1635 patients with nonvalvular atrial fibrillation were studied; 69 (77%) were women with a median age of 91.71 years (range 90-98). During the enrolment period, all the patients were interviewed during an ambulatory visit and were followed in the outpatient setting. Hemorrhagic, thromboembolic and fatal events over 1 year of follow-up were monitored. Six (7%) patients discontinued vitamin K antagonists (three due to bleeding, two due to noncompliance, two due to physician recommendation). Twenty-one (23%) patients died, and 35 (39%) were admitted to hospital. One patient had an intracranial hemorrhage [1%, 95% confidence interval (CI) 0.27-6.0], two patients had a major extracranial hemorrhage (2%, 95% CI 0.7-8.0). One patient had an ischemic stroke (1%, 95% CI 0.27-6.0), two patients had embolic arterial ischemia (2%, 95% CI 0.7-8.0). All the events occurred when the international normalized ratio was outside the target range, or after oral anticoagulation had been stopped. In our study of extremely elderly anticoagulated patients, we found low rates of bleeding and thromboembolism. These findings support the use of oral anticoagulants in such patients.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".