The Effect of Perioperative Magnesium Sulphate on the Incidence of Atrial Fibrillation in Patients Undergoing Coronary Artery Surgery: A Double-Blinded Randomized Study
Bibliographic record
Abstract
Abstract Background and aims: The study aimed was to assess the effect of magnesium on the incidence of atrial fibrillation undergoing coronary artery surgery. Materials and Methods: A double-blinded randomized study included 276 patients classified into two groups (each=138): Group M–the patients received magnesium sulphate infusion (15 mg/kg/h). The infusion was started 20 min before induction, during surgery and the first postoperative 24 hours. Group C–the patients received an equal amount of normal saline. The variables included incidence of atrial fibrillation, amiodarone level of magnesium, potassium, troponin I and creatinine kinase-MB, ECG changes. Results: The incidence of atrial fibrillation was 17(12.31%) patients in group M compared to 38(27.53%) patients in group C(P=0.002). The highest incidence was through the second day and it was 8(12.31%) patients in group M compared to 19(12.31%) patients in group C(P=0.042). The requirement for amiodarone was 17(12.31%) patients in group M compared to 38(27.53%) patients in group C(P=0.002). The blood level of magnesium and potassium was significantly higher in group M compared to group C(P<0.05). The troponin I level, CK-MB and ECG changes were lower in group M than group C(P<0.05). The magnesium sulphate decreases the incidence of atrial fibrillation in patients with ischemic heart diseases undergoing CABG. It decreases the requirement for amiodarone, incidence of perioperative myocardial infarction, the requirement of pharmacological and mechanical support. Keywords: Magnesium Sulfate, Coronary Artery Bypass Grafting, Atrial Fibrillation, Amiodarone, Troponin I, Creatinine Kinase-Mb Isoenzyme. Impact of Employee Compensation and Benefits on Operating Performance This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Copyright © Author(s) retain the copyright of this article.
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".