Angina severity predicts worse sleep quality after coronary artery bypass grafting
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Bibliographic record
Abstract
OBJECTIVE: We sought to reveal whether the severity of angina pectoris affects sleep quality after elective coronary artery bypass grafting. MATERIAL AND METHODS: Patients scheduled to undergo isolated coronary artery bypass grafting were divided into two groups, having a recent myocardial infarction (Group 1, n=22, mean age 59.40±7.79 years) or not having a recent myocardial infarction (Group 2, n=30, mean age 59.73±7.72 years). The assessment included the Canadian Cardiovascular Society Angina Score, the visual analogue scale for postoperative pain and the Pittsburgh Sleep Quality Index (PSQI). RESULTS: The two groups were similar in regard to baseline characteristics. Cross-clamp time was significantly higher (p=0.007) and the use of inotropes was significantly more common (p=0.01) in those patients with recent myocardial infarction compared to those without. Mean Canadian Cardiovascular Society scores were also higher in patients with recent myocardial infarction (p=0.02). Total Pittsburgh Sleep Quality Index score was significantly higher in patients with recent myocardial infarction (8.45±3.50 vs. 5.03±2.32, respectively, p<0.001). In multivariate analysis, higher angina score (OR: 3.27, 95% CI, 1.20-8.90, p=0.02) and longer time of intensive care unit stay (OR: 6.15, 95% CI, 1.49-25.35, p=0.01) were found to be independent predictors of poor sleep quality. The Canadian Cardiovascular Society angina score showed a significant positive correlation with poor sleep duration score (<0.001), sleep disturbance score (p=0.02), day dysfunction due to sleepiness score (p=0.001), sleep efficiency score (p=0.003), overall sleep quality score (0.03) and total PSQI score (p=0.004). CONCLUSION: The severity of angina pectoris in the preoperative period is independently associated with worse sleep quality after elective isolated coronary artery bypass surgery.
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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) | 0.006 | 0.002 |
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 it