Improving results for coronary artery bypass graft surgery in the elderly
Bibliographic record
Abstract
OBJECTIVES: The proportion of elderly patients undergoing isolated coronary artery bypass grafting (CABG) surgery has steadily increased. We have evaluated temporal trends in hospital outcomes of patients who were 75 years and older undergoing CABG (1990-2010) at our institution. METHODS: Data were collected prospectively for 3483 consecutive patients who were 75 years and older (median 78 years; range 75-94) undergoing isolated CABG at our institution over three time cohorts: 1990-96 (n = 817), 1997-2003 (n = 1534) and 2004-10 (n = 1132). RESULTS: Overall mortality declined from 6.0% (49/817) in the earliest era (1990-96) to 1.9% (22/1132) in the most recent era (2003-10; P < 0.001). Mortality in low-risk patients (elective, primary surgery with the ejection fraction >40%) was 5.9% (13/220), 0.8% (4/514) and 0% (0/411) in the first, second and third eras, respectively (P < 0.001). Despite the overall increase in comorbidities in our elderly patients, the prevalences of certain risk factors such as poor LV function, urgency of surgery and reoperation have all declined with time. The independent risk factors for mortality in our population were congestive heart failure, left main disease, earlier year of operation, reoperation, preoperative myocardial infarction, cardiopulmonary bypass time, emergent/urgent surgery and peripheral vascular disease. Of these, earlier year of operation (OR: 3.0; 95% CI: 1.8-5.2) was the most significant predictor. Also, age >80 did not predict mortality. CONCLUSIONS: The principle finding from this analysis is a contemporary low operative mortality for CABG in an elderly patient cohort. Risk of death is particularly low in a low-risk subset of elderly patients with reasonable LV function undergoing elective, primary CABG.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".