Association Between Very Low Levels of High‐Density Lipoprotein Cholesterol and Long‐term Outcomes of Patients With Acute Coronary Syndrome Treated Without Revascularization: Insights From the <scp>TRILOGY ACS</scp> Trial
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Bibliographic record
Abstract
BACKGROUND: Low levels of high-density lipoprotein cholesterol (HDL-C; <40 mg/dL) are associated with increased risk of cardiovascular events, but it is unclear whether lower thresholds (<30 mg/dL) are associated with increased hazard. HYPOTHESIS: Very low levels of HDL-C may provide prognostic information in acute coronary syndrome (ACS) patients treated medically without revascularization. METHODS: We examined data from 9064/9326 ACS patients enrolled in the TRILOGY ACS trial. Participants were randomized to clopidogrel or prasugrel plus aspirin. Study treatments continued for 6 to 30 months. Relationships between baseline HDL-C and the composite of cardiovascular death, myocardial infarction (MI), or stroke, and individual endpoints of death (cardiovascular and all-cause), MI, and stroke, adjusted for baseline characteristics through 30 months, were analyzed. The HDL-C was evaluated as a dichotomous variable-very low (<30 mg/dL) vs higher (≥30 mg/dL)-and continuously. RESULTS: Median baseline HDL-C was 42 mg/dL (interquartile range, 34-49 mg/dL) with little variation over time. Frequency of the composite endpoint was similar for very low vs higher baseline HDL-C, with no risk difference between groups (hazard ratio [HR]: 1.13, 95% confidence interval [CI]: 0.95-1.34). Similar findings were seen for MI and stroke. However, risks for cardiovascular (HR: 1.42, 95% CI: 1.13-1.78) and all-cause death (HR: 1.36, 95% CI: 1.11-1.67) were higher in patients with very low baseline HDL-C. CONCLUSIONS: Medically managed ACS patients with very low baseline HDL-C levels have higher risk of long-term cardiovascular and all-cause death but similar risks for nonfatal ischemic outcomes vs patients with higher baseline HDL-C.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 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 it