Prevalence of Dyslipidemia and Lipid Goal Attainment in Statin‐Treated Subjects From 3 Data Sources: A Retrospective Analysis
Bibliographic record
Abstract
BACKGROUND: Evidence-based randomized clinical trials have shown significant benefit of statin treatment with regard to cardiovascular disease. In anticipation of the National Cholesterol Education Program Adult Treatment Panel IV guidelines, we wanted to assess the current state of lipid goal attainment in the high-risk secondary prevention population in the United States. The objectives of the study were to estimate the proportion of high-risk patients treated with statin monotherapy who achieved Adult Treatment Panel III-recommended low-density lipoprotein cholesterol (LDL-C) goals (<100 mg/dL; optional <70 mg/dL) as well as non-high-density lipoprotein cholesterol goals (<130 mg/dL; optional <100 mg/dL). METHODS AND RESULTS: This is a cross-sectional, retrospective study of 3 data sources: electronic medical records (2003-September 2010), administrative claims data (2003-2010), and National Health and Nutrition Examination Survey data (2007-2008). High-risk patients (≥ 18 years of age) were defined as those with a history of coronary heart disease or coronary heart disease risk equivalent who had the latest complete lipid panel measurement and had been treated with statin monotherapy for >90 days at the time of the lipid panel. Cardiovascular disease, coronary heart disease, and coronary heart disease risk equivalents were defined on the basis of availability, specific to each data source. Across the 3 data sources, 20% to 26% of high-risk patients treated with statin monotherapy for >90 days had LDL-C <70 mg/dL, and 67% to 77% had LDL-C <100 mg/dL. The percentages of those attaining both LDL-C goals and non-high-density lipoprotein cholesterol goals were quantitatively smaller (13.5% to 19.0% and 46% to 70%). CONCLUSIONS: Across the 3 data sources, there was consistency in the proportion of high-risk patients treated with statin monotherapy who were at LDL-C goal. A significant number of these statin-treated patients had additional dyslipidemias.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".