Association of Perioperative Risk Factors and Cumulative Duration of Low Bispectral Index with Intermediate-term Mortality after Cardiac Surgery in the B-Unaware Trial
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Bibliographic record
Abstract
BACKGROUND: Current data suggest that mortality after noncardiac surgery may be associated with persistent hypotension and the cumulative duration of low processed electroencephalogram-based bispectral index (BIS). This study assessed the relationships among cumulative duration of low BIS (BIS < 45), intermediate-term mortality, and anesthetic dose after cardiac surgery. METHODS: The authors studied 460 patients (mean age, 63.0 +/- 13.1 yr; 287 men) who underwent cardiac surgery between September 2005 and October 2006 at Washington University Medical Center, St Louis, Missouri. By using multivariable Cox regression analysis, perioperative factors were evaluated for their potential association with intermediate-term all-cause mortality. RESULTS: A total of 82 patients (17.8%) died during a median follow-up of 3 yr (interquartile range, 2.7-3.3 yr). Comparing patients who died with those who survived, there was no statistically significant difference in the relationship between end-tidal anesthetic gas concentrations during the anesthetic maintenance phase and the BIS. Cumulative duration of low BIS was independently associated with intermediate-term mortality. The 1.29 adjusted hazard ratio (95% CI, 1.12-1.49) for intermediate-term mortality with cumulative duration of low BIS translated into a 29% increased risk of death for every cumulative hour spent with a BIS less than 45. The final multivariable Cox regression model showed a good discriminative ability (c-index of 0.78). CONCLUSIONS: This study found an association between cumulative duration of low BIS and mortality in the setting of cardiac surgery. Notably, this association was independent of both volatile anesthetic concentration and duration of anesthesia, suggesting that intermediate-term mortality after cardiac surgery was not causally related to excessive anesthetic dose.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it