Five-Year Outcomes After Hybrid Coronary Revascularization: A Single Center Experience
Bibliographic record
Abstract
OBJECTIVE: Hybrid coronary revascularization (HCR) combines both surgical and percutaneous coronary revascularization procedures. It offers a minimally invasive strategy for multivessel coronary artery disease and combines the advantages of both. However, quantitative long-term patency and clinical outcomes remain understudied. The objective of this study was to assess clinical outcomes and graft and stent patency at 5-year follow-up. METHODS: From January 2004 to January 2015, 120 patients were enrolled in this study. They underwent robotically assisted minimally invasive coronary artery bypass grafting of left internal thoracic artery (LITA) to the left descending artery (LAD) and percutaneous coronary intervention of non-LAD vessels. Primary outcome was graft (LITA-LAD) patency determined at 5 years of follow-up, assessed by computed tomography angiography and rest and stress myocardial perfusion scintigraphy (MPS-MIBI). Secondary outcomes were stent patency and major adverse major cardiac and cerebrovascular events (MACCE). Also, freedom from recurrence of angina was assessed. RESULTS: At follow-up, 18 of 120 patients (15%) had died (in 5 patients the cause of death was cardiovascular). Among survivors, follow-up was achieved in 83 of 102 (81%). In 76 of 83 patients (92%) there was a patent LITA-LAD graft and in 75 of 83 (90%) a patent stent was demonstrated. MACCE occurred in 36 of 120 patients (30%). Freedom from recurrence of angina occurred in 92 of 120 patients (77%). CONCLUSIONS: HCR is a safe and a promising procedure. It provides a minimally invasive approach and results in complete revascularization with good 5-year patency and clinical outcomes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".