Young Stroke Survivors With No Early Recurrence at High Long‐Term Risk of Adverse Outcomes
Bibliographic record
Abstract
Background Approximately 8% to 21% of strokes affect adults aged <45 years. Although early stroke recurrence conveys the largest risk, long-term risks for young survivors with no early complications are unclear. Methods and Results Longitudinal matched case-control study (2003-2013). Consecutive patients with ischemic stroke or transient ischemic attack (young, ≤44 years) discharged from emergency or regional stroke centers in Ontario, Canada, with no death, recurrent stroke/transient ischemic attack, myocardial infarction, all-cause hospitalization, or admission to a long-term or continuing care facility (≤90 days) were matched 10:1 to general population controls on age (±1 year), sex, income, geography, and case date (±50 days). The primary outcome was a composite of death, stroke, myocardial infarction, and long-term or continuing care facility admission at 1, 3, and 5 years. Absolute event rates for young stroke/transient ischemic attack patients were lower than for older patients at 1 (2.2% versus 9.9%), 3 (4.7% versus 24.6%), and 5 (7.1% versus 37.2%) years. However, piecewise constant hazard modeling revealed that, even after adjustment for vascular comorbidities, young patients showed a 7-fold increased hazard of the composite outcome compared with young controls at 1 year (hazard ratio, 7.3; 95% CI, 4.0-13.6). Adjusted 5-year piecewise hazard also remained >5× that of young controls (hazard ratio, 5.2; 95% CI, 2.8-9.4), compared with a 30% increase at 5 years for older patients (hazard ratio, 1.3; 95% CI, 1.3-1.4). Conclusions Young stable stroke/transient ischemic attack survivors show a higher long-term hazard of adverse outcomes compared with matched controls than older patients. Findings support the need for long-term follow-up and aggressive risk reduction in young survivors and suggest secondary prevention guidelines for these patients are required.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".