The effect of a selenium-based anti-inflammatory strategy on postoperative functional recovery in high-risk cardiac surgery patients - A nested sub-study of the sustain CSX trial
Bibliographic record
Abstract
AIM: The cardiac surgery-related ischemia-reperfusion-related oxidative stress triggers the release of cytotoxic reactive oxygen and nitrogen species, contributing to organ failure and ultimately influencing patients' short- and long-term outcomes. Selenium is an essential co-factor for various antioxidant enzymes, thereby contributing to the patients' endogenous antioxidant and anti-inflammatory defense mechanisms. Given these selenium's pleiotropic functions, we investigated the effect of a high-dose selenium-based anti-inflammatory perioperative strategy on functional recovery after cardiac surgery. MATERIALS AND METHODS: This prospective study constituted a nested sub-study of the SUSTAIN CSX trial, a double-blinded, randomized, placebo-controlled multicenter trial to investigate the impact of high-dose selenium supplementation on high-risk cardiac surgery patients' postoperative recovery. Functional recovery was assessed by 6-min walk distance, Short Form-36 (SF-36) and Barthel Index questionnaires. KEY FINDINGS: 174 patients were included in this sub-study. The mean age (SD) was 67.3 (8.9) years, and 78.7 % of the patients were male. The mean (SD) predicted 30-day mortality by the European System for Cardiac Operative Risk Evaluation II score was 12.6 % (9.4 %). There was no difference at hospital discharge and after three months in the 6-min walk distance between the selenium and placebo groups (131 m [IQR: not performed - 269] vs. 160 m [IQR: not performed - 252], p = 0.80 and 400 m [IQR: 299-461] vs. 375 m [IQR: 65-441], p = 0.48). The SF-36 and Barthel Index assessments also revealed no clinically meaningful differences between the selenium and placebo groups. SIGNIFICANCE: A perioperative anti-inflammatory strategy with high-dose selenium supplementation did not improve functional recovery in high-risk cardiac surgery patients.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".