Impact of completeness of revascularization in complex coronary artery disease as measured with the SYNTAX revascularization index: An SEEDS Substudy
Bibliographic record
Abstract
OBJECTIVES: We sought to study whether the level of completeness of revascularization as measured by the SYNTAX revascularization index (SRI) independently predicts adverse ischemic events after percutaneous coronary intervention (PCI) with second-generation drug-eluting stents (DES). BACKGROUND: The SRI quantifies the proportion of revascularized myocardium. It has been shown to independently predict adverse ischemic events after PCI with first-generation DES. METHODS: Among 1,900 patients enrolled in a registry to evaluate safety and effectiveness of everolimus drug-eluting stent (SEEDS) for coronary revascularization, the SRI was calculated and available for 1,851 patients. The patients were stratified into three groups according to the degree of revascularization (SRI = 100% [complete revascularization], SRI = 50 to <100%, and SRI <50%). Two-year mortality and major adverse cardiac events (MACE) were compared between the groups. RESULTS: The SRI ranged from 4-100%, with a mean of 85.4%. Complete revascularization was achieved in 1,190 patients, while the SRI was 50% to <100% in 472 patients and <50% in 189 patients. Two-year mortality and MACE rates were higher in patients with lower SRI. ROC analysis showed an optimal SRI cutoff of 85% for predicting the 2-year mortality risk. An SRI ≥85% was associated with a similar risk of death to complete revascularization. The SRI independently predicted 2-year mortality and MACE. CONCLUSIONS: The SRI predicts mortality and adverse ischemic events in patients with complex CAD who underwent contemporary PCI with second-generation DES. Revascularizing ≥85% of the CAD burden was associated with a good prognosis and should be considered as a reasonable goal. © 2017 Wiley Periodicals, Inc.
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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 | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".