Impact of previous percutaneous coronary interventions on the course and clinical outcomes of coronary artery bypass grafting
Bibliographic record
Abstract
BACKGROUND: Despite the increasing number of patients after percutaneous coronary intervention (PCI) requiring coronary artery bypass grafting (CABG), studies on the impact of these procedures on surgical revascularisation outcomes are sparse. Furthermore, advances in cardiology require reassessment of their potential prognostic significance. AIM: We sought to assess the influence of previous PCI on CABG outcomes. METHODS: A total of 211 consecutive patients scheduled for CABG were enrolled into this prospective study. Patients after PCI (group 1, n = 99) were compared with subjects with no history of PCI (group 2, n = 112) in terms of preoperative, operative, and postoperative data. All the patients were followed-up for the incidence of in-hospital (cardiogenic shock, myocardial infarction, stroke, acute renal failure, reoperation, death) and long-term (overall mortality, occlusion of at least one graft in 64-row computed tomography) clinical endpoints. RESULTS: Group 1 had more advanced heart failure and coronary artery disease as reflected by New York Heart Association (2.43 ± 0.57 vs. 2.17 ± 0.68; p < 0.001) and Canadian Cardiovascular Society (2.44 ± 0.59 vs. 2.03 ± 0.65; p < 0.001) scales, respectively. Compared with group 2, longer aortic cross-clamp (33.5 ± 9.9 vs. 29.5 ± 8.4; p < 0.05) and cardiopul-monary bypass (67.5 ± 28.2 vs. 56.5 ± 17.9; p < 0.001) times were observed as well as a higher number of implanted grafts (3.0 ± 0.7 vs. 2.8 ± 0.70; p < 0.05). No significant differences were observed in terms of in-hospital clinical endpoints. During 12 ± 3.41 months of follow-up group 1 had higher mortality (5.05% vs. 0%; p < 0.05) but similar graft patency. CONCLUSIONS: "Stent-loaded" patients undergo more time-consuming CABG with a higher number of grafts. Furthermore, they have higher long-term mortality but similar graft patency and in-hospital mortality/morbidity.
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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 | 0.001 |
| 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".