Outcomes of Thrombolysis for Acute Ischemic Stroke in Octogenarians Versus Nonagenarians
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Little is reported on the outcomes of nonagenarians who are treated with intravenous tissue plasminogen activator for acute ischemic stroke. It is uncertain whether nonagenarians have higher mortality and worse functional outcomes than octogenarians. METHODS: All patients who were >or=80 years of age were extracted from the Canadian Activase for Stroke Effectiveness Study national registry, a 60-center Canadian acute ischemic stroke treatment network. Patients were divided into 2 groups: those who were 80 to 89 years of age (octogenarians) and those who were 90 to 99 years of age (nonagenarians), and compared by baseline clinical, demographic, treatment, and outcome-related measures. RESULTS: Twenty-eight nonagenarians and 242 octogenarians were treated with intravenous tissue plasminogen activator for acute ischemic stroke over the 2.5-year observation period. Nonagenarians and octogenarians did not differ on any of the baseline clinical or demographic variables. Both groups were predominantly female (77% nonagenarians and 61% octogenarians), hypertensive (54% and 60%), and predominantly had severe strokes (National Institutes of Health Stroke Scale score >15; 58% and 52%). The rate of symptomatic intracerebral hemorrhage (7% nonagenarians versus 4% octogenarians; P=0.359), 90-day mortality (52% versus 33%; P=0.087), and 30-day favorable functional outcomes ([modified Rankin score <or=1] 30% versus 26%; P=0.647) showed no statistically significant difference when comparing the 2 age groups. CONCLUSIONS: There is no significant difference in 90-day mortality, 30-day functional outcome, or rate of symptomatic intracerebral hemorrhage between nonagenarians and octogenarians treated with intravenous tissue plasminogen activator when comparing populations of similar baseline risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| 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; both teacher heads agree on what is shown here.
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".