Recent Myocardial Infarction is Associated With Increased Risk in Older Adults With Acute Ischemic Stroke Receiving Thrombolytic Therapy
Bibliographic record
Abstract
Background Intravenous recombinant tissue-type plasminogen activator (rtPA) remains the only medical therapy to improve outcomes for acute ischemic stroke (AIS), but the safety of rtPA in AIS patients with a history of recent myocardial infarction (MI) remains controversial. Methods and Results We sought to determine whether the presence of recent MI would alter the risk of mortality and rtPA-related complications. Multivariate logistic regression models were used to compare in-hospital outcomes between rtPA-treated AIS patients with recent MI within 3 months and those with no history of MI from the Get With The Guidelines-Stroke hospitals between February 2009 and December 2015. Among 40 396 AIS patients aged ≥65 years treated with rtPA, 241 (0.6%) had recent MI, of which 19.5% were ST-segment-elevation myocardial infarction. Patients with recent MI had more severe stroke than those without (median National Institutes of Health Stroke Scale [interquartile range]: 13.0 [7.0-20.0] versus 11.0 [6.0-18.0]). Recent MI was associated with an increased risk of mortality compared with no history of MI (17.4% versus 9.0%; adjusted odds ratio 1.60 [95% CI, 1.10-2.33]; P=0.014), but no statistically significant differences in rtPA-related complications (13.5% versus 9.4%; adjusted odds ratio 1.28 [0.88-1.86]; P=0.19). Recent ST-segment-elevation myocardial infarction was associated with higher risk of death and rtPA-related complications, but non-ST-segment-elevation myocardial infarction was not. Conclusions Among older AIS patients treated with rtPA, recent MI was associated with an increased risk of in-hospital mortality. Further investigations are necessary to determine whether the benefit of rtPA outweighs its risk among AIS patients with recent MI.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".