Myocardial Infarction Following t-PA for Acute Stroke
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Complications of intravenous (IV) thrombolysis with tissue plasminogen activator (t-PA) for acute stroke are commonly related to hemorrhage, anaphylaxis, or arterial re-occlusion. Embolic complications of t-PA are beginning to be recognized with increased use of t-PA for acute ischemic stroke. We hypothesize that disruption of intra-cardiac thrombus may result in myocardial infarction (MI) after use of t-PA for acute ischemic stroke. SUMMARY OF CASES: We describe three cases of acute MI immediately following IV t-PA infusion for acute stroke. In patient #1 apical thrombus was visualized on cardiac echocardiogram accounting for the MI after t-PA for acute stroke. Patient #2 had fresh thrombus seen on cardiac catherization after use of t-PA for acute stroke. Patient #3 developed a significant troponin rise 15 hours after the t-PA for stroke infusion with an echocardiogram revealing new wall motion abnormalities. Patient # 1 and #2 died secondary to multi-organ failure. DISCUSSION: Acute MI immediately following t-PA treatment for stroke is a rare but serious complication. The disruption of intra-cardiac thrombus and subsequent embolization to the coronary arteries may be an important mechanism in the development of MI after t-PA treatment for acute ischemic stroke.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".