High-sensitivity C-reactive protein and low-density lipoprotein cholesterol association with incident of cardiovascular events: Isfahan cohort study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: There are many studies on high-sensitivity C-reactive protein (hs-CRP) association with cardiovascular disease (CVD); however, just a few studies investigated whether the low-density lipoprotein cholesterol (LDL-C) could participate in hs-CRP prognostic strength. This study aimed to determine the alliance of hs-CRP and LDL-C in different concentrations in occurrence cardiovascular events in the Isfahan Cohort Study (ICS). METHODS: 3277 participants aged 35 and above were included in the current analysis. We evaluated the association of elevated hs-CRP levels (≥ 3 mg/dL) and CVD events including myocardial infarction, ischemic heart disease, stroke, CVD, CVD mortality, and all-cause mortality in those with LDL-C ≥ or < 130 mg/dL Cox frailty models was used to determine possible interactions. RESULTS: In both crude and fully adjusted models, there was no significant interaction between LDL-C and hs-CRP levels with the incidence of MI, stroke, CVD mortality, and all-cause death. Neither elevated LDL-C alone nor elevated CRP alone were associated with the risk of all cardiovascular events and all-cause death. However, participants with elevated concentrations of both hs-CRP and LDL-C had a greater risk of ischemic heart disease (IHD) (hazards ratio (HR) 1.44; 95% CI 1.03-2.02) and CVD (HR 1.36; 95% CI 1.01-1.83) than those with low LDL-C and hs-CRP. CONCLUSION: These results indicate that despite a null association between elevated levels of CRP or LDL-C alone and CVD events, concurrent rise in LDL-C and hs-CRP levels is associated with higher risk of IHD and CVD.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 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 it