Association between pre-operative statin use and major cardiovascular complications among patients undergoing non-cardiac surgery: the VISION study
Bibliographic record
Abstract
AIMS: The aim of this study was to assess the effects of pre-operative statin therapy on cardiovascular events in the first 30-days after non-cardiac surgery. METHODS AND RESULTS: We conducted an international, prospective, cohort study of patients who were ≥45 years having in-patient non-cardiac surgery. We estimated the probability of receiving statins pre-operatively using a multivariable logistic model and conducted a propensity score analysis to correct for confounding. A total of 15 478 patients were recruited at 12 centres in eight countries from August 2007 to January 2011. The matched population consisted of 2845 patients (18.4%) treated with a statin and 4492 (29.0%) controls. The pre-operative use of statins was associated with lower risk of the primary outcome, a composite of all-cause mortality, myocardial injury after non-cardiac surgery (MINS), or stroke at 30 days [relative risk (RR), 0.83; 95% confidence interval (CI), 0.73-0.95; P = 0.007]. Statins were also associated with a significant lower risk of all-cause mortality (RR, 0.58; 95% CI, 0.40-0.83; P = 0.003), cardiovascular mortality (RR, 0.42; 95% CI, 0.23-0.76; P = 0.004), and MINS (RR, 0.86; 95% CI, 0.73-0.98; P = 0.02). There were no statistically significant differences in the risk of myocardial infarction or stroke. CONCLUSION: Among patients undergoing non-cardiac surgery, pre-operative statin therapy was independently associated with a lower risk of cardiovascular outcomes at 30 days. These results require confirmation in a large randomized trial. CLINICAL TRIAL REGISTRATION: Clinical Trials.gov NCT00512109.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".