Rosuvastatin Lowers Systemic Inflammatory Response in Coronary Artery Bypass Graft Accompanied by Cardiopulmonary Bypass Surgery: A Randomized Controlled Study
Bibliographic record
Abstract
PURPOSE: Cardiopulmonary bypass (CPB) is commonly associated with a systemic inflammatory response that may lead to severe complications. Classic signs of systemic inflammatory response syndrome are complement activation and changes in cytokine and acute phase reactant levels. The effects of rosuvastatin after CPB on interleukin-6 (IL-6), interleukin-10 (IL-10), interleukin-18 (IL-18) and High Sensitivity C-Reactive Protein (hs-CRP) levels were investigated. METHODS: Thirty-seven male and thirteen female patients (total=50) aged 42 to 78 years, who had coronary bypass surgery due to coronary artery disease were randomly divided into two groups. The 25 patients in the control group were administered placebos. The 25 in the treatment group were administered 20 mg rosuvastatin tablets daily between preoperative day 7 and postoperative day 28. Blood samples were taken at six time points; before induction of anesthesia (T1), during CPB (T2), five minutes after removal of cross clamp (T3), after protamine infusion (T4), postoperative day three (T5) and postoperative day 28 (T6). Data points were expressed as mean ± standard deviation (SD). RESULTS: Rosuvastatin lowered IL-6 levels at T4, T5 and T6 time points (T4, T5, T6 p < 0.05), and elevated IL-10 levels at T3 and T4 (T3, T4 p < 0.05). IL-18 levels were also elevated at multiple time points. Rosuvastatin also lowered hs-CRP levels and cholesterol levels at T6 (p < 0.05). CONCLUSION: Administering 20 mg/day of rosuvastatin between preoperative day 7 and postoperative day 28 may result in fewer complications in certain (especially intraoperative) cases of systemic inflammatory response caused by the CPB technique used in coronary bypass surgery.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".