Reperfusion after primary angioplasty for ST-elevation myocardial infarction: predictors of success and relationship to clinical outcomes in the APEX-AMI Angiographic Study
Bibliographic record
Abstract
AIMS: We studied the clinical, demographic, and angiographic factors associated with successful reperfusion and the relationship between angiographic indices and clinical outcomes in a subset of the APEX-AMI trial, which tested the efficacy of pexelizumab in ST-elevation myocardial infarction patients undergoing primary percutaneous coronary intervention (PCI). METHODS AND RESULTS: Among 5745 patients enrolled in the trial, 1018 underwent independent quantitative angiographic evaluation by a core laboratory. Successful epicardial reperfusion was defined as TIMI (thrombolysis in myocardial infarction) flow grade 3 or corrected TIMI frame count (cTFC) <28 frames, and successful myocardial reperfusion as TIMI myocardial perfusion grade (TMPG) 2 or 3. TIMI 3 flow after PCI occurred in 85%, cTFC < 28 in 58% (mean cTFC was 27 +/- 20), and TMPG 2 or 3 in 91%. Overall 90 day clinical outcomes were 2.7% for mortality and 8.2% for the composite of death, congestive heart failure (CHF), or shock. After adjustment for baseline characteristics, TMPG 2/3 after PCI was associated with younger age [odds ratio (OR) for 10 year increase 0.75, 95% confidence interval (CI) 0.59-0.96, P = 0.023], pre-PCI TIMI flow 2/3 (OR 3.5, 95% CI 1.7-7.1, P = 0.001), and ischaemic time [for every hour, OR 0.81 (0.69-0.96), P = 0.015]. TMPG 2/3 after PCI was significantly associated with 90 day mortality (adjusted hazard ratio 0.26, 95% CI 0.09-0.78, P = 0.013). Neither post-PCI TMPG nor TIMI flow grade was significantly associated with 90 day death/CHF/shock. CONCLUSION: Younger age, patent infarct-related artery at presentation, and ischaemic time predicted higher likelihood of successful myocardial perfusion, which was associated with improved survival.
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 | 0.005 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".