Clinical event rate in patients with and without left main disease undergoing isolated coronary artery bypass grafting: results from the European DuraGraft Registry
Bibliographic record
Abstract
OBJECTIVES: Left main coronary artery disease (LMCAD) is considered an independent risk factor for clinical events after coronary artery bypass grafting (CABG). We have conducted a subgroup analysis of the multicentre European DuraGraft Registry to investigate clinical event rates at 1 year in patients with and without LMCAD undergoing isolated CABG in contemporary practice. METHODS: Patients undergoing isolated CABG were selected. The primary end point was the incidence of a major adverse cardiac event (MACE) defined as the composite of death, myocardial infarction (MI) or repeat revascularization (RR) at 1 year. The secondary end point was major adverse cardiac and cerebrovascular events (MACCE) defined as MACE plus stroke. Propensity score matching was performed to balance for differences in baseline characteristics. RESULTS: LMCAD was present in 1033 (41.2%) and absent in 1477 (58.8%) patients. At 1 year, the MACE rate was higher for LMCAD patients (8.2% vs 5.1%, P = 0.002) driven by higher rates of death (5.4% vs 3.4%, P = 0.016), MI (3.0% vs 1.3%, P = 0.002) and numerically higher rates of RR (2.8% vs 1.8%, P = 0.13). The incidence of MACCE was 8.8% vs 6.6%, P = 0.043, with a stroke rate of 1.0% and 2.4%, P = 0.011, for the LMCAD and non-LMCAD groups, respectively. After propensity score matching, the MACE rate was 8.0% vs 5.2%, P = 0.015. The incidence of death was 5.1% vs 3.7%, P = 0.10, MI 3.0% vs 1.4%, P = 0.020, and RR was 2.7% vs 1.6%, P = 0.090, for the LMCAD and non-LMCAD groups, respectively. Less strokes occurred in LMCAD patients (1.0% vs 2.4%, P = 0.017). The MACCE rate was not different, 8.5% vs 6.7%, P = 0.12. CONCLUSIONS: In this large registry, LMCAD was demonstrated to be an independent risk factor for MACE after isolated CABG. Conversely, the risk of stroke was lower in LMCAD patients. CLINICAL TRIAL REGISTRATION NUMBER: ClinicalTrials.gov NCT02922088.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".