Perioperative Hyperoxia and Delirium after On-pump Cardiac Surgery: A Mediation Analysis
Bibliographic record
Abstract
Abstract Background Neurologic and neurobehavioural complications are common after cardiac surgery with cardiopulmonary bypass (CPB). Exposure to the artificial bypass surface, conversion to laminar flow and hypothermia likely contribute to systemic inflammation observed after CPB. To ensure adequate systemic oxygenation, the CPB patient is often exposed to supraphysiologic levels of oxygen. Relative to normoxia, perioperative hyperoxia during CPB has not been shown to impact neurocognition in the long-term. Whether this holds true for the immediate post-operative neurocognitive function is the question of this nested case-control study. Methods 46 age-and sex-matched subjects, aged ≥65 years, selected for this study were randomized to receive normoxia or hyperoxia during CABG with CPB in the parent trial. Levels of four neuroinflammatory biomarkers (S100B, ENO2, CHI3L1, UCHL1) were measured at baseline and at post-bypass. Baseline neurocognition was established with the Montreal Cognitive Assessment tool and patients were assessed on each post-operative day for delirium using the confusion assessment method. Mediation analyses was conducted for the conditional effect of perioperative oxygen treatment on the occurrence of delirium, assuming mediation effect from change in biomarker levels. Results 26 subjects ( n = 12) demonstrated delirium. Of the four biomarkers, only S100B levels were differentially abundant post-bypass regardless of treatment (8.18 versus 10.15pg/mL, p value < 0.001). We found significant direct effects of treatment on the occurrence of delirium (effect size = -2.477, p = 0.004). There was no statistically significant mediating effect by S100B. Conclusion While perioperative hyperoxia may not be associated with neurocognitive dysfunction in the long-term, its immediate effects may contribute significantly to the occurrence of post-operative delirium. Taken together, our findings suggest a dose-response-time relationship between hyperoxia and neurocognitive function.
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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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".