The effect of ASA, ticagrelor, and heparin in ST‐segment myocardial infarction patients with prolonged transport times to primary percutaneous intervention
Bibliographic record
Abstract
OBJECTIVES: To investigate the effects of early upstream antithrombotic therapy administration (ATTA) in ST-segment elevation myocardial infarction (STEMI) patients with prolonged transport times to primary percutaneous intervention (PPCI) on major clinical outcomes. BACKGROUND: It remains unclear whether early upstream administration of aspirin, ticagrelor, and unfractionated heparin (UFH) confers additional benefits compared with in-hospital administration. METHODS: Between 2015 and 2018, we performed PPCI in 709 included consecutive STEMI patients. We compared 482 STEMI patients who received aspirin, ticagrelor, and UFH loading in a non-PCI capable spoke hospital before transfer (NPHT) versus 227 prehospital triage setting (PTS) STEMI patients who received in-ambulance aspirin, followed by ticagrelor and UFH in the hub catheterization laboratory. The primary outcome was the presence of a pre-PPCI TIMI flow 2-3 in the infarct related artery (IRA). The secondary outcomes included definite acute stent thrombosis and hemorrhagic complications. RESULTS: The median times from ticagrelor and heparin administration to angiography in the NPHT group and the PTS group were 80.5 min (Interquartile Range (IQR) 68.5-94) and 10 min (IQR 5-15) respectively (p < .0001). Using inverse probability of treatment weighting to minimize heterogeneity between groups, we showed significant differences for the primary outcome (44.6 versus 18.5%, p < .0001) and for definite acute stent thrombosis (0.6 versus 2.6%, p = .03), with no difference in the combined in-hospital BARC 2-5 bleeding events (1.9 versus 3.5%, p = .18) in the NPHT versus the PTS group, respectively. CONCLUSION: In this single-center retrospective cohort study, after adjusting for baseline covariates, early upstream ATTA with aspirin, ticagrelor, and UFH was associated with greater pre-PPCI TIMI flow and less definite acute stent thrombosis in STEMI patients, without increased bleeding risk.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".