Nodal vessels disease as a risk factor for atrial fibrillation after coronary artery bypass graft surgery
Bibliographic record
Abstract
OBJECTIVE: Atrial fibrillation (AF) is common after coronary artery bypass graft (CABG) surgery. Atrial ischaemia due to diseased atrioventricular (AV) and sinoatrial (SA) arteries has been proposed as a cause of AF post-CABG. We examined if the presence of diseased nodal arteries was a significant predictor of the development of AF post-CABG. METHODS: 100 consecutive cases (AF post-CABG) were compared to 100 consecutive controls (No AF post-CABG) with respect to pre-operative angiographic evidence of diseased nodal arteries. Cases and controls identified from the Society of Thoracic Surgeons database underwent detailed chart reviews to obtain data on potential risk factors. Patients were excluded if they were undergoing anything but a routine CABG procedure, were older than 65 years, or had previous AF. All angiograms were reviewed by a single radiologist blinded to outcome. The effect of grafting diseased nodal arteries on the development of AF post-CABG was also measured. A multiple logistic regression model was utilized to measure the effect of disease in each artery on the development of AF post-CABG. RESULTS: Cases and controls were comparable regarding potential risk factors, with the exception that the AF group was older than the non-AF group. Significant AV artery disease was detected in 78 cases compared to 74 controls (adjusted odds ratio (OR) OR=1.04, CI, 0.51-2.12, P=0.82). Significant SA artery disease was detected in 34 cases compared to 21 controls (adjusted OR=2.093, CI: 1.06-4.09, P=0.03). Six of ten patients having revascularization of their SA nodal artery developed AF versus 28 of 45 of those who did not (OR=0.91, CI: 0.18-5.06, P=0.58). Forty-eight of 87 patients having revasacularization of their AV nodal artery developed AF versus 30 of 65 of those who did not (OR=1.44, CI: 0.72-2.88, P=0.27). CONCLUSION: The presence of a diseased SA artery is significantly associated with AF post-CABG. Such association may be used to identify a subset of patients who might be targeted with prophylaxis.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".