The Association Between Recombinant Tissue Plasminogen Activator and Post-ischemic Stroke Seizure: A Retrospective Cohort Study
Bibliographic record
Abstract
Background: Recombinant tissue plasminogen activator (r-tPA) has remained the primary therapeutic intervention for ischemic stroke when administered within the recommended time window. Despite its well-established benefits, potential side effects—glutamate release, increased leukocyte activity, and oxidative stress—should also be considered. Among these concerns, the development of post-stroke seizures (PSS) has gained attention as a possible complication. Objectives: This study explored the association between r-tPA administration and the likelihood of post-stroke seizure. Materials & Methods: A retrospective cohort of 200 patients, split evenly between those treated with r-tPA and those who were not, was analyzed at an academic hospital in northern Iran over three years (2017–2020). Clinical parameters were collected and compared, including demographics, medical history, involved artery, NIHSS (the National Institutes of Health Stroke scale) values on admission, the Alberta stroke program early CT score (ASPECTS), and post-stroke seizure occurrence. Results: Nineteen patients (10%) developed seizures; 8 of them (8%) belonged to the group without r-tPA, and 11(11%) belonged to the r-tPA group (P=0.469). Results showed no significant relationship between developing seizures and r-tPA therapy. This study shows that the ASPECT score is the only parameter associated with the risk of post-stoke seizure. By increasing one score in ASPECTS, the rate of seizure occurrence decreases by 24. Conclusion: These outcomes confirm the continued use of r-tPA as a safe and effective treatment option for ischemic stroke patients.
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 | 0.002 | 0.002 |
| 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".