Use and Outcomes of Intravenous Thrombolysis for Acute Ischemic Stroke in Patients ≥90 Years of Age
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Intravenous tissue-type plasminogen activator (tPA) is a proven treatment for acute ischemic stroke, but there has been limited evaluation among patients aged ≥90 years. METHODS: We analyzed data from the Get With The Guidelines-Stroke national quality improvement registry from January 2009 to April 2013. Frequency, determinants, and outcomes of tPA use were compared among patients aged ≥90 and 3 younger age groups (18-64, 65-79, and 80-89 years). RESULTS: Among 35 708 patients from 1178 sites who arrived within 2 hours of time last known well and received tPA, 2585 (7.2%) were ≥90 years. Compared with younger patients, the rate of tPA use among patients without a documented contraindication was lower among patients aged ≥90 years (67.4% versus 84.1% in 18-89-year olds; P<0.0001). Discharge outcomes among individuals aged ≥90 years included discharge to home or acute rehabilitation in 31.4%, independent ambulation at discharge in 13.4%, symptomatic hemorrhage in 6.1%, and in-hospital mortality or hospice discharge in 36.4%. On multivariable analysis, good functional outcomes generally occurred less often and mortality more often among patients aged ≥90 years. The risk of symptomatic hemorrhage was increased compared with patients <65 years but was not significantly different than the risk in 66- to 89-year olds. CONCLUSIONS: The use of intravenous tPA among those aged ≥90 years is lower than in younger patients. When fibrinolytic therapy is used, the risk of symptomatic hemorrhage is not higher than in 66- to 89-year olds; however, mortality is higher and functional outcomes are lower.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".