Risk Factors, Use of Preventive Drugs, and Cardiovascular Events in Diabetes Mellitus: The PURE Türkiye Cohort
Bibliographic record
Abstract
BACKGROUND: The risk of cardiovascular disease is correlated with the frequency and control of associated risk factors in diabetes mellitus and may vary according to country. We evaluated risk factors for cardiovascular disease, cardiovascular events, and the use of preventive medications in patients with diabetes mellitus using the Prospective Urban and Rural Epidemiological Türkiye cohort. METHODS: Patients with diabetes mellitus versus without diabetes mellitus were compared for risk factors, cardioprotective drugs (angiotensin-converting enzyme inhibitors or angiotensin-II receptor antagonists, statins, and antiplatelets), and cardiovascular events. The primary outcome was major cardiovascular events (composite of cardiovascular death, myocardial infarction, stroke, or heart failure). RESULTS: Among 4041 participants, 549 (13.6%) had diabetes mellitus. The mean age (54.8 ± 8.4 vs. 49.3 ± 9.0 years, P <.001) and proportion of women (65.4% vs. 59.9%, P =.014) were higher in diabetics compared with non-diabetics. Hypertension, history of coronary heart disease, and use of statin, antiplatelets, and angiotensin-converting enzyme inhibitors or angiotensin-II receptor antagonists were more common in diabetics; however, the use of these medications at baseline was lower than optimal even in patients with diabetes mellitus and concomitant coronary heart disease (statin 31.2%, antiplatelets 46.9%, and angiotensin-converting enzyme inhibitors or angiotensin-II receptor antagonists 54.7%). During 11.5 years of follow-up, major cardiovascular events occurred in 288 (7.1%) patients, and the risk was higher in diabetics [hazard ratio (95% confidence interval) 1.71 (1.30-2.24); P <.001]. The increase in the risk of future events was comparable for those with diabetes mellitus alone without cardiovascular disease [hazard ratio 1.62 (1.20-2.20)] versus those with cardiovascular disease alone without diabetes mellitus [hazard ratio 1.31 (0.83-2.07)] and was additive in those with both conditions [hazard ratio 2.79 (1.65-4.69)]. The risk of major coronary events (myocardial infarction, angina, percutaneous, or surgical coronary intervention) was also higher in diabetes mellitus [hazard ratio 1.64 (1.26-2.15); P <.001]. CONCLUSION: Patients with diabetes mellitus have a higher risk of major cardiovascular events, and the risk is comparable to that observed in those with cardiovascular disease but no diabetes mellitus. The use of preventive medicines for cardiovascular diseases is disturbingly low in diabetics.
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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) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".