Silent ischemic lesions in young adults with first stroke are associated with recurrent stroke
Bibliographic record
Abstract
OBJECTIVE: To determine the association between silent ischemic lesions (SILs) on baseline brain MRI and recurrent stroke in young adults with first-ever ischemic stroke. METHODS: This was a single-center retrospective study of adult patients aged 18-50 years with first-ever ischemic stroke investigated by brain MRI between 2002 and 2009. Silent brain infarcts (SBIs) were defined as focal T2 hyperintensities ≥ 3 mm without corresponding focal symptoms, and leukoaraiosis was defined as focal, multifocal, or confluent hyperintensities on T2-weighted sequences. The primary outcome was recurrent stroke. A forward stepwise Cox regression model was used to determine whether SILs were independently associated with recurrent stroke. RESULTS: A total of 271 eligible patients were identified in the database: 89 did not undergo MRI imaging and 12 patients had inadequate follow-up, leaving a study population of 170 patients. MRI demonstrated SILs in 48 of 170 (28.2) patients. No patients had isolated leukoaraiosis. Hypertension (p = 0.049), migraine with aura (p = 0.02), and cardiovascular disease (p = 0.04) were associated with SIL. Mean follow-up duration was 25 ± 7 months. Among patients with SILs, 11 of 48 (23%) had a recurrent stroke vs 8 of 122 (6.5%) patients without SIL (p = 0.003). After multivariate Cox regression, SILs remained independently associated with recurrent stroke (hazard ratio [HR] 3.2, 95% confidence interval [CI] 1.2-8.6, p = 0.02), as did the combination of SBIs and leukoaraiosis (HR 7.3, 95% CI 2.3-22.9, p = 0.003). CONCLUSIONS: In adults ≤ 50 years old with first-ever ischemic stroke, SILs are common and independently predict recurrent stroke.
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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 | 0.001 |
| 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".