Thrombolysis in patients older than 80 years with acute ischaemic stroke: Canadian Alteplase for Stroke Effectiveness Study
Bibliographic record
Abstract
BACKGROUND: The benefit of intravenous tissue plasminogen activator (tPA) given within 3 h of acute ischaemic stroke to patients over 80 years of age is uncertain. AIM: To examine the clinical characteristics and complications and the predictors of outcome after intravenous tPA treatment in patients aged > or = 80 years. METHODS: Data (n = 1135) prospectively collected from the Canadian Alteplase for Stroke Effectiveness Study were reviewed and patients aged > or = 80 years (n = 270) treated with intravenous tPA for acute ischaemic stroke were compared with those aged <80 years (n = 865). RESULTS: The risk of symptomatic intracerebral haemorrhage did not differ between patients aged > or = 80 years and <80 years (4.4% (95% CI 2.3 to 7.6) v 4.6% (95% CI 3.3 to 6.2), p = 1.0). Favourable outcome, defined as a modified Rankin Score of 0-1 at 90 days, was seen in 26% of patients aged > or = 80 years and in 40% of those <80 (p<0.001). The following baseline characteristics were found to be more common in those aged > or = 80 years than in those aged <80 years: atrial fibrillation (37% v 18%; p<0.001); congestive heart failure (11% v 6%; p = 0.004); hypertension (59% v 48%; p = 0.002); and severity of stroke with a median National Institutes of Health Stroke Scale (NIHSS) score of 16 v 14 (p = 0.004). In the multivariable logistic regression analysis, age > or = 80 years, stroke severity, baseline Alberta Stroke Program Early CT Score and glucose level were found to be the major independent predictors of outcome. CONCLUSION: In carefully selected elderly patients, the use of intravenous tPA was not found to be associated with an increased risk of symptomatic intracerebral haemorrhage. Age-related differences were seen in the clinical characteristics and outcome in the elderly population.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".