Statins and coronary artery bypass graft surgery: preoperative and postoperative efficacy and safety
Bibliographic record
Abstract
BACKGROUND: In patients with native coronary artery disease, strong evidence supports the use of statins to reduce the risk of recurrent cardiovascular events and improve survival. However, for patients undergoing coronary artery bypass graft surgery (CABG), statins appear to be underutilized, and concerns have been raised regarding their perioperative safety. OBJECTIVE: The goal of this systematic review is to evaluate the safety and efficacy of statin therapy before and after coronary surgical revascularization. METHODS: A systematic review was performed to retrieve relevant articles from the Medline database published between 1987 and January 2009. RESULTS: Administered before CABG, statins have been demonstrated to reduce perioperative mortality, stroke and atrial fibrillation. Preoperative statin therapy also reduces the systemic inflammatory response associated with cardiopulmonary bypass. Following CABG, statins inhibit saphenous vein graft disease and the progression of atherosclerosis in native coronary arteries. In addition, postoperative statins reduce the recurrence of cardiovascular events and improve all-cause mortality. High-intensity lipid reduction to achieve low-density lipoprotein levels to 70 mg/dl may benefit post-CABG patients, but this has yet to be evaluated prospectively. Adverse effects related to perioperative statin therapy seem to be extremely rare, and little data are available to support the practice of withholding statin therapy before or after surgery. CONCLUSION: Numerous studies have demonstrated that statins improve the outcomes of patients undergoing CABG. The benefits seem to outweigh the risks associated with their use, both in the preoperative and postoperative period. In the absence of contraindications, essentially all CABG patients are candidates for life-long statin therapy that ideally should be started before surgery. The optimal postoperative statin regimen remains unknown and should be the subject of future study.
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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 | 0.006 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".