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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".