Prognosis and Clinical Results after Coronary Artery Bypass Operation in Young Patients Aged <45 Years: Chances and Limitations of a New Therapy Option
Bibliographic record
Abstract
Abstract Coronary artery bypass grafting (CABG) is the recommended type of revascularization procedure in patients with left main or three-vessel disease and is considered an alternative when percutaneous coronary intervention is not feasible. We evaluated registry data to obtain long-term outcome data. All patients ≤45 years in whom CABG was performed between 2009 and 2019 were selected from the Heart and Diabetes Center NRW, Germany. Cox regression analysis was applied to estimate the incidence risk of events after surgery. A total of 209 patients (81.8% male) were included. Mean (standard deviation) follow-up duration was 5.8 (3.1) years. The combined outcome of death, stroke, myocardial infarction, or repeated revascularization occurred in 31 patients (14.8%). Estimated mean time to event was 8.5 (standard error: 0.22) years. By the end of the follow-up period, 8 patients (3.8%) had died, among whom 2 (1.0%) died within 1 month after surgery, 1 (0.5%) within 1 year, 1 (0.5%) within 2 years, and 4 (1.9%) after 2 years. Risk factors independently associated with postsurgery events were angina pectoris CCS (Canadian Cardiovascular Society) class IV (adjusted hazard ratio [HR]: 4.954; 95% confidence interval [CI]: 1.322–18.563; p = 0.018) and STS (Society of Thoracic Surgeons) score (adjusted HR: 1.152 per scoring point; 95% CI: 1.040–1.276; p = 0.007). After performing CABG in patients ≤45 years, event-free long-term outcomes were observed in the majority of patients. Presence of angina pectoris CCS class IV and higher STS scores were independently associated with adverse postsurgery events.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".