Gender differences in plasma levels of lipoprotein (a) in patients with angiographically proven coronary artery disease
Why this work is in the frame
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Bibliographic record
Abstract
The objective of the study was to assess the association between plasma levels of lipoprotein(a) [Lp(a)] and the presence of angiographically defined coronary artery disease (aCAD). Patients (346 men and 184 women) undergoing selective coronary angiography (SCA) were classified into groups with positive [aCAD(+)] and negative [aCAD(-)] findings and their age, body mass index (BMI), waist circumference, blood pressure, smoking, plasma total, LDL-, HDL-cholesterol (TC, LDL-C, HDL-C), triglycerides (TG), apolipoprotein B (apoB), Log(TG/HDL-C) and TC/HDL-C were determined. Concentration of plasma Lp(a) was estimated using the commercial solid phase two-side immunoradiometric assay of apolipoprotein apo(a). The plasma Lp(a) was significantly higher in both women and men with aCAD(+) compared to those with aCAD(-). While there was no significant difference in the Lp(a) level between men and women with aCAD(-) (median 138 vs. 145 units/l), the women with aCAD(+) had almost twice as high Lp(a) levels as men (median 442 vs. 274 units/l, p<0.001). Women with aCAD(+) had also significantly lower HDL cholesterol levels (1.09 vs. 1.20 mmol/l, p<0.05), higher triglycerides (1.82 vs. 1.46 mmol/l, p<0.05) and Log(TG/HDL-C) than women with aCAD(-). The differences in Lp(a) between positive and negative findings remained highly significant (p<0.001 in women, p<0.05 in men) after the adjustment for age, plasma HDL- and LDL-cholesterol and triglycerides in logistic regression analyses. In logistic regression model the Lp(a) and Log(TG/HDL-C) and smoking in women but smoking and age in men were the most powerful predictors of positive aCAD findings. Our findings suggest that Lp(a) is more strongly associated with aCAD+ in women than in men.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 it