P651Prevalence of hypertriglyceridemia in statin treated high risk patients who might benefit from treatment with icosapent ethyl for secondary prevention in clinical practice - Results of DYSIS
Bibliographic record
Abstract
Abstract Background Patients with elevated triglyceride (TG) levels are at increased risk for ischemic events. In the recently published REDUCE-IT-Study among patients with elevated triglyceride levels who were receiving statin therapy, the risk of major ischemic events, including cardiovascular death, was significantly lower with 2 g of icosapent ethyl twice daily than with placebo. Little is known about how many patients in clinical practice might benefit from this additional treatment. Methods The cross sectional, observational Dyslipidemia International Study (DYSIS) examined lipid goal attainment among statin-treated very high cardiovascular risk patients (defined as per 2011 EAS/ESC guidelines, including patients suffering from coronary heart disease, diabetes, chronic kidney disease or peripheral atherosclerotic disease) in Canada, Europe, Middle East countries and China. Data were collected under real life conditions in physicians' offices and hospital outpatient wards between 2008–2012. We examined the prevalence of mixed dyslipidemia with TG >135 mg/dl in high statin treated high risk patients in clinical practice. Results Of a total of 44,593 patients on very high cardiovascular risk, all on chronic statin treatment, 21,312 (47.8%) had mixed dyslipidemia with TG values >135mg/dl. Patients with elevated TG also had higher levels of total and LDL-cholesterol. The overall use of additional fibrates on top of statins was low (4.0%), but more frequent in patients with TG >135 mg/dl. CVD patients with TG>135 mg/dl Pts with TG >135 mg/dl Pts with TG ≤135 mg/dl p-value OR (95% CI) n=21,312 (47.8%) n=23,281 (52.2%) Age (years) 65.4±10.1, 68.1±10.2 <0.0001 Females 42.2% 38.6% <0.0001 1.16 (1.12–1.21) Sedentary lifestyle 43.0% 37.6% <0.0001 1.25 (1.20–1.30) Risk factors/CV-disease Hypertension 79.0% 74.9% <0.0001 1.26 (1.21–1.32) Diabetes mellitus 56.3% 45.3% <0.0001 1.55 (1.50–1.61) Ischemic heart disease 50.6% 54.4% <0.0001 0.86 (0.83–0.89) Cerebrovascular disease 16.1% 17.7% <0.0001 0.90 (0.85–0.94) Peripheral artery disease 8.1% 6.9% <0.0001 1.18 (1.10–1.27) Lipid lowering therapy Rosuvastatin 11.3% 11.8% 0.13 0.95 (0.90–1.01) Atorvastatin 38.2% 40.9% <0.0001 0.89 (0.86–0.93) Simvastatin 41.9% 38.9% <0.0001 1.13 (1.09–1.18) Other statins 8.6% 8.4% 0.12 0.96 (0.88–1.05) Fibrates 5.5% 1.5% <0.0001 3.86 (3.40–4.37) Lipid Profile Total Cholesterol (mg/dl) 185.6 159.0 <0.0001 LDL-Cholesterol (mg/dl) 102.1 88.9 <0.0001 Triglyderides (mg/dl) 189.5 95.7 <0.0001 Conclusion Almost half of consecutive patients with cardiovascular disease treated with statins for secondary prevention in clinical practice suffer from TG levels >135 mg/dl and might benefit from additional treatment with icosapent ethyl with further reduction in subsequent major ischemic events, including cardiovascular death. Acknowledgement/Funding MSD
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".