Elevated C-Reactive Protein Constitutes an Independent Predictor of Advanced Carotid Plaques in Dyslipidemic Subjects
Bibliographic record
Abstract
Inflammation plays a key role in the physiopathology of atherosclerosis. C-reactive protein (CRP) has been found to predict cardiac events in healthy subjects and in patients with coronary heart disease. However, the relationship between CRP and subclinical atherosclerosis is not well established. We examined the potential relationship between CRP and common carotid artery intima-media thickness and carotid plaques in dyslipidemic subjects. Dyslipidemic patients (n=1051) were recruited for the study. All patients had a complete clinical examination and systematically underwent ultrasonographic evaluation of the extracranial carotid arteries on a duplex system. The serum concentration of CRP was measured by using a sensitive immunoradiometric assay. In a univariate model, a strong positive relationship was found between CRP and the severity of carotid stenosis (P<0.0001). In multivariate analysis, the association between CRP and the degree of carotid atherosclerosis remained significant for advanced plaques (P=0.0007) in male subjects only. Significant correlations were found between CRP and body mass index (P<0.0001) and between CRP and other markers associated with the metabolic syndrome. In this large dyslipidemic population, elevated CRP is an independent predictor of advanced carotid plaques in male subjects. Body mass index and other markers of the metabolic syndrome (HDL cholesterol, triglycerides, diabetes, and high blood pressure) are significant determinants of CRP levels in this population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 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 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".