Abstract WP96: Computed Tomography Identifies Patients At High Risk For Stroke After Transient Ischemic Attack Or Non Disabling Stroke. A Prospective, Multicenter Validation Study
Bibliographic record
Abstract
Background and Objectives: CT findings of acute and chronic ischemia are associated with stroke risk. We sought to validate these associations in a large prospective cohort of patients with TIA or minor stroke. Methods: We included prospectively enrolled emergency department patients from 13 centers with a final ED diagnosis of TIA or non-disabling stroke who had a computed tomography (CT) within 24 hours. Primary outcome was stroke within 90 days. Secondary outcomes were stroke within 2 or 7 days. CT findings were abstracted from the radiology report and classified for the presence of acute ischemia, chronic ischemia or microangiopathy. Multivariable logistic regression was used to test associations with primary and secondary endpoints. Results: In total 8,670 patients were enrolled between May 2010 to May 2017 and 8,382 had a CT within 24 hours. 4,547 patients had evidence of acute ischemia, chronic ischemia, or microangiopathy on CT imaging, of whom 175 had a subsequent stroke within 90 days (3.8% subsequent stroke rate; OR, 2.33; 95% CI, 1.62-3.36; P<0.001). Findings associated with an increased risk of stroke at 90 days were acute ischemia alone (6.0%; OR, 2.42; 95% CI, 1.03-5.66; P=0.04), acute ischemia with microangiopathy (10.7%; OR, 3.34; 95% CI, 1.57-7.14; P=0.002), chronic ischemia with microangiopathy (5.2%; OR, 1.83; 95% CI, 1.34-2.50; P<0.001), and acute ischemia with chronic ischemia and microangiopathy (10.9%; OR; 3.49; 95% CI, 1.54-7.91; P=0.003). ). Acute ischemia with chronic ischemia and microangiopathy were most strongly associated with increased risk of subsequent stroke within 2 days (OR, 4.36; 95% CI 1.31-14.54), and 7 days (OR, 4.50; 95%CI, 1.73-11.69). Conclusion: In patients with TIA or non-disabling stroke, CT evidence of acute ischemia with chronic ischemia and/or microangiopathy significantly increases the risk of subsequent stroke within 90 days of index visit. The combination of all 3 findings results in the greatest early risk.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".