Hybrid Coronary Artery Revascularization: A Review and Current Evidence
Bibliographic record
Abstract
OBJECTIVE: The role of hybrid coronary revascularization (HCR), which utilizes the combination of minimally invasive surgical coronary artery bypass grafting of the left anterior descending artery and percutaneous coronary intervention (PCI) of non-left anterior descending vessels to treat multivessel coronary artery disease, is expanding. We set out to provide a review of this technology. METHODS: We conducted a retrospective analysis of all minimally invasive hybrid operations performed at our institution from September 2004 to December 2018. An effective analysis comparing patients undergoing HCR vs off-pump or on-pump surgical coronary artery revascularization was undertaken using an adjusted analysis with inverse-probability weighting based on the propensity score. Outcomes that were assessed include death, myocardial infarction, stroke, atrial fibrillation, renal failure, requirement of blood transfusion, conversion to open procedure (in the hybrid group), length of stay in intensive care unit, and total length of stay in hospital. Intention-to-treat analysis was performed. An up-to-date literature review of HCR complements this study. RESULTS: Since 2004 a total of 191 consecutive patients (61.4±11.1 years; 142 males and 49 females) underwent HCR (robotic-assisted coronary artery bypass graft of the left internal thoracic artery to the left anterior descending coronary artery (LAD) and PCI of a non-LAD vessel) in a single- or double-stage fashion. Successful HCR occurred in 183 of the 191 patients (8 patients required intraoperative conversion to conventional coronary bypass). From our comparative analysis and literature review we found no significant difference between HCR and coronary artery bypass grafting groups with respect to in-hospital and 1-year follow-up. CONCLUSIONS: Current evidences suggest that HCR is a feasible, safe, and effective coronary artery revascularization strategy in selected patients with multivessel coronary artery disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".