Melatonin administered postoperatively lowers oxidative stress and inflammation and significantly recovers heart function in patients undergoing CABG surgery
Bibliographic record
Abstract
BACKGROUND: This study aimed to assess the effect of oral melatonin consumption on improving heart function and reducing postoperative complications in patients undergoing coronary artery bypass grafting (CABG) surgery. METHODS: A total of 60 CABG patients in the postoperative period were included in this randomized, double-blind, placebo-controlled trial. The patients were divided into three groups: Group 1 (n = 20, 5 mg melatonin), Group 2 (n = 20, 10 mg melatonin), and the placebo group (n = 20). The patients were discharged about 8 to 10 days after the surgery. Blood samples were taken from all the patients before and after the intervention (for 60 days), and Biochemical parameters including creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), malondialdehyde (MDA), tumor necrosis factor alpha (TNF-α), total antioxidant capacity (TAC), nitric oxide (NO) assessed. Echocardiography and the measurement of systolic and diastolic blood pressure were also performed on participants. RESULTS: Our results showed that melatonin treatment significantly increased the ejection fraction (%EF) and TAC levels in both the treatment groups compared to the placebo group (P < 0.05). Moreover, the levels of inflammatory and oxidative biomarkers, including TNF-α, MDA, and NO, decreased in the intervention group significantly (P < 0.05). In the placebo group, %EF decreased significantly (P = 0.042), while MDA increased (P < 0.001) and TAC decreased (P = 0.002). No significant changes were observed in LDH and CK-MB levels. The comparison of serum biomarkers between the two treatment groups showed that 10 mg of melatonin was more effective than 5 mg, but the difference was not significant (P > 0.05). CONCLUSION: The present study showed that as a potential antioxidant, melatonin could alleviate oxidative stress and inflammation associated with CABG and is essential in improving overall heart function. TRIAL REGISTRATION: IRCT20111119008129N14, first trial registration date: 01/08/2023.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".