Non-infarct related artery revascularization in ST-segment elevation myocardial infarction patients with multivessel disease
Bibliographic record
Abstract
PURPOSE OF REVIEW: Multivessel disease (MVD) is common in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PCI) and is associated with significant risk of future cardiovascular (CV) events including short and longer-term mortality. In this review, we examine the pathophysiologic construct contributing to adverse prognosis of MVD in STEMI, relevant available evidence that currently guides the management of the noninfarct-related artery (IRA) stenosis and define the remaining knowledge gaps for future studies. RECENT FINDINGS: Results of recent small sized randomized trials, when pooled, suggest improvement in CV outcomes including CV mortality and repeat revascularization with revascularization of the non-IRA stenosis compared with medical management alone. In addition, there does not appear to be an increase in bleeding, contrast-induced nephropathy or stroke, as suggested by earlier observational data. SUMMARY: These recent data have led to a Class IIb recommendation in the American College of Cardiology/American Heart Association guidelines stating that non-IRA revascularization may be considered in selected patients with STEMI and MVD who are hemodynamically stable, either at the time of primary PCI or as a planned staged procedure. The ongoing COMPLETE and CULPRIT-SHOCK studies will provide additional data to further inform the role of non-IRA revascularization and its timing in the management of these patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".