Which Risk Factors Are More Associated With Ischemic Stroke Than Intracerebral Hemorrhage in Patients With Atrial Fibrillation?
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The decision to prescribe oral anticoagulant therapy in patients with atrial fibrillation is based on an assessment of the competing risks of ischemic stroke and major bleeding, of which intracerebral hemorrhage (ICH) is the most important type. We sought to determine the comparative importance of risk factors for ischemic stroke and ICH in patients with acute stroke and atrial fibrillation with particular emphasis on risk factors common to both stroke types. METHODS: Consecutive patients with acute ischemic stroke or ICH and atrial fibrillation included in the Registry of the Canadian Stroke Network constituted the cohort. Multivariable logistic regression analysis was used to determine the association between baseline risk factors and presentation with ICH versus ischemic stroke. Risk factors included: (1) those previously reported to be risk factors for both ischemic stroke and major bleeding (particularly ICH) ("shared" risk factors, including age, alcohol, hypertension, diabetes mellitus, renal impairment, prior stroke/transient ischemic attack and preadmission dementia); and (2) other risk factors associated with either stroke subtype alone. RESULTS: A total of 3197 patients presented with atrial fibrillation and acute stroke, of which 12.2% presented with ICH. Of the "shared" risk factors, age (OR, 1.19; 95% CI, 1.06-1.34 per decade) and prior stroke/transient ischemic attack (OR, 1.45; 95% CI, 1.12-1.87) were more associated with ischemic stroke than ICH, whereas a history of hypertension (OR, 0.89; 95% CI, 0.68-1.17), diabetes mellitus (OR 1.23; 95% CI, 0.92-1.64), renal impairment (OR, 1.28; 95% CI, 0.95-1.71), and alcohol intake were not more strongly associated with either stroke subtype. CONCLUSION: Of the risk factors known to be associated with both ischemic stroke and ICH in patients with atrial fibrillation, we found that none had a stronger association with ICH. Older age was more strongly associated with ischemic stroke than ICH.
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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".