Optical Coherence Tomography–Guided Percutaneous Coronary Intervention in ST-Segment–Elevation Myocardial Infarction
Bibliographic record
Abstract
BACKGROUND: Patients undergoing primary percutaneous coronary intervention (PCI) for ST-segment-elevation myocardial infarction are at increased risk for adverse events. It is unclear if image guidance by optical coherence tomography (OCT) can improve outcomes in these patients. We compared OCT-guided versus angiography-guided primary PCI for ST-segment-elevation myocardial infarction among patients in the Thrombectomy Versus PCI Alone (TOTAL) trial. METHODS AND RESULTS: Among 10 732 patients enrolled in the TOTAL trial, OCT was used for PCI guidance as a part of a prospective substudy in 214 patients. Using 2:1 propensity matching, we identified 428 patients in the trial who had PCI performed with angiography guidance alone. The primary outcome was a composite of cardiovascular death, myocardial infarction, stent thrombosis, and target-vessel revascularization at 1 year. Secondary outcomes included final in-stent angiographic minimum lumen diameter, procedure time, and contrast dose. The final in-stent angiographic minimum lumen diameter was 2.99±0.48 mm in the OCT-guided group versus 2.79±0.47 mm in the angiography-guided group (P<0.0001). OCT- and angiography-guided PCI had a median (interquartile range) procedure time of 58 (47, 71) minute versus 38 (28, 52) minute (P<0.0001) and total contrast dose of 239.7±81.1 mL versus 193.3±78.6 mL (P<0.0001). The primary outcome was observed in 7.5% of the OCT-guided group versus 9.8% of the angiography-guided group (hazard ratio, 0.76; 95% confidence interval, 0.43-1.34; P=0.34). CONCLUSIONS: OCT-guided primary PCI for ST-segment-elevation myocardial infarction was associated with a larger final in-stent minimum lumen diameter. There was no significant difference in clinical outcomes at 1 year; however, the study was underpowered to detect a treatment effect. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT01149044.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".