Gastrointestinal bleeding after acute ischemic stroke
Bibliographic record
Abstract
OBJECTIVE: Recent studies report that major bleeding is associated with a significant increase in mortality after acute coronary syndrome. Major bleeding has also been reported to be common after ischemic stroke, most often gastrointestinal, but its association with clinical outcome is less certain. We sought to describe the incidence, risk factors, and association with clinical outcomes of gastrointestinal bleeding following acute ischemic stroke. METHODS: Consecutive patients with acute ischemic stroke, who were admitted to 11 Ontario hospitals, were identified from the Registry of the Canadian Stroke Network (2003-2006). Stroke severity was measured using the Canadian Neurological Scale. Dependence was measured with the modified Rankin Scale (mRS), and categorized into strokes with no or mild-moderate dependency (mRS 0-3) and those with severe dependence or death (mRS 4-6). Multivariable logistic regression was used to determine the association between gastrointestinal bleeding and clinical outcome (death or severe dependence at hospital discharge and 6-month mortality), independent of comorbidities and in-hospital medical complications. RESULTS: In total, 6,853 patients with acute ischemic stroke were included. One hundred (1.5%) patients experienced gastrointestinal hemorrhage during hospitalization, of which 36 (0.5%) required blood transfusion. On multivariable analyses, previous history of peptic ulcer disease, cancer, and stroke severity were independent predictors of gastrointestinal bleeding. Gastrointestinal hemorrhage was independently associated with death or severe dependence at discharge (OR 3.3; 95% CI 1.9-5.8) and mortality at 6 months (HR 1.5; 95% CI 1.1-2.0). CONCLUSIONS: Gastrointestinal hemorrhage is relatively uncommon after acute ischemic stroke but is associated with increased odds of death and severe dependence.
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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".