Leukoaraiosis and intracerebral hemorrhage after thrombolysis in acute stroke
Bibliographic record
Abstract
OBJECTIVES: To evaluate whether the presence of leukoaraiosis or multiple lacunes is associated with symptomatic intracerebral hemorrhage (ICH) and 90-day outcome after thrombolytic treatment with tissue plasminogen activator (tPA). METHODS: Data were from a Canadian national registry of thrombolyzed patients with ischemic stroke. A total of 820 scans were assessed, blind to clinical features, for the presence of severe vs no/moderate leukoaraiosis, and of multiple (>2) vs no/single lacunar infarcts. Logistic regression was used to determine if an independent interaction existed between the presence and degree of leukoaraiosis/lacunes and risk of symptomatic ICH, and to evaluate the predictive role of leukoaraiosis and lacunes in relation to 90-day outcome. RESULTS: An overall symptomatic ICH rate of 3.5% was observed. The rate of symptomatic ICH increased up to 10% in patients with severe leukoaraiosis and multiple lacunes. A significant association was observed between ICH risk and either severe leukoaraiosis (RR = 2.7 [95% CI 1.1 to 6.5]) or multiple lacunes (RR = 3.4 [95% CI 1.5 to 7.6]). Patients with multiple lacunes, but not leukoaraiosis, had higher mortality at 90 days compared to those with one or no lacunes (OR = 2.9, 95% CI 1.3 to 6.2, p = 0.008). No difference was observed in the good outcome rate among patients with and without leukoaraiosis or lacunes or both. CONCLUSION: The presence of small vessel disease on CT scan does not affect overall clinical outcome at 3 months in routine community use of tPA for ischemic stroke. A significant increase in the risk of symptomatic ICH is observed.
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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".