Aortic sclerosis is associated with mortality and major morbidity in patients undergoing coronary artery bypass surgery
Bibliographic record
Abstract
OBJECTIVE: In this study, we aim to investigate the association between aortic sclerosis and mortality and major morbidity in patients with established coronary artery disease undergoing coronary artery bypass grafting (CABG). DESIGN: Preoperative echocardiograms of consecutive patients undergoing isolated CABG between 2007 and 2009 (n=1150) were analysed, excluding patients without an echocardiogram in the 30 days prior to surgery (n=483). Using logistic regression, we evaluated the association between aortic sclerosis and inhospital mortality and major morbidity. Using Cox proportional hazards, the effect on long-term all-cause mortality was determined. SETTING: Massachusetts General Hospital, Boston. PATIENTS: Patients undergoing isolated CABG between 2007 and 2009. INTERVENTIONS: Analysis of echocardiograms. MAIN OUTCOME MEASURES: Inhospital mortality and major morbidity, and long-term all-cause mortality. RESULTS: 627 patients were suitable for enrolment; 207 (33%) had significant aortic sclerosis. These patients had higher rates of traditional cardiovascular risk factors. Significant aortic sclerosis was associated with an increased risk of inhospital mortality or major morbidity (OR 1.95; 95% CI 1.25 to 3.04). Following adjustment for baseline clinical and echocardiographic variables, the association remained significant (OR 1.90; 95% CI 1.15 to 3.11). The HR for adjusted all-cause mortality was 2.52 (mean follow-up 2.7 years). CONCLUSIONS: Aortic sclerosis is a common finding in patients undergoing CABG. In these patients, its presence is associated with a higher risk of inhospital mortality or major morbidity, and is associated with a higher risk of all-cause long-term mortality independent of other risk factors.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".