Association of a history of falls or syncope with intracranial bleeding in patients with atrial fibrillation
Bibliographic record
Abstract
Abstract Background In patients with atrial fibrillation (AF), anticoagulation effectively reduces the risk of ischemic stroke. However, up to 50% of patients are not receiving this treatment. A history of falls or syncope and an associated risk of intracranial hemorrhage are commonly reported reasons for undertreatment, though these have not been well studied. Purpose To investigate the association of a history of falls or syncope with the risk of intracranial hemorrhage in patients with AF. Methods Patients with a history of AF from the RE-LY, AVERROES and ACTIVE A and W trials were combined into a large cohort. “Critical injury” was defined as any injury that resulted in death, was deemed to be life-threatening or resulted in permanent disability. A “serious injury” was defined as an injury that required hospitalization. “Other injuries” were defined as those that did not meet criteria for critical or serious injury. We used logistic regression and propensity-matched Cox models to assess the association between falls or syncope and adverse outcomes. Results Among 37,973 patients, 11.9% (n=4503) had a history of falls, 17.5% (n=6655) had a history of syncope and 25.1% (n=9518) had a history of either falls or syncope. The mean age of the cohort was 71±9.3 years and 58% were male. The median CHADS2 score was 2. A history of falls or syncope was not associated with the risk of incident intracranial hemorrhage (HR 1.11, 95% CI 0.88–1.4). In propensity-matched multivariable models, a history of falls or syncope was associated with an increased risk of death (HR 1.14, 95% CI 1.07–1.22), stroke (HR 1.17, 95% CI 1.05–1.3), myocardial infarction (HR 1.28, 95% CI 1.09–1.52) and major bleeding (HR 1.27, 95% CI 1.16–1.4). Moreover, a history of falls or syncope was associated with increased risk of critical injury (OR 1.97, 95% CI 1.52–2.54), serious injury (OR 2.06, 95% CI 1.75–2.43) and “other injury” (OR 1.58, 95% CI 1.46–1.72). Conclusions A history of falls or syncope is common in patients with atrial fibrillation; however, neither history was associated with increased risk of intracranial hemorrhage. These patients were at an increased risk of death, stroke, myocardial infarction and major bleeding, suggesting that they should receive anticoagulation for stroke prevention. Funding Acknowledgement Type of funding source: None
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".