Evolution of Risk Factors for Atherosclerotic Cardiovascular Events in Systemic Lupus Erythematosus: A Longterm Prospective Study
Bibliographic record
Abstract
OBJECTIVE: We previously reported the effect of certain factors on cardiovascular disease (CVD) in 250 women with systemic lupus erythematosus (SLE) followed for 8 years. The aim of this study was to delineate their evolution after 15 years of followup. METHODS: There were 210 women with SLE and 138 age-matched healthy women available for analysis after 15 years. Cardiovascular events (CVE) included angina pectoris, myocardial infarction (fatal and nonfatal), transient ischemic attack, and stroke (fatal and nonfatal). Analysis was performed with SAS 9.3 software; p < 0.05 was considered significant. RESULTS: CVE occurred in 41/210 patients (19.5%) and 9/138 controls (6.5%), most of them in the second part (2008-2015) of the study (24/210, 11.4% vs 17/241, 7.1% in SLE group). Coronary artery disease was more common in patients (32/210, 15.2% vs 5/138, 3.6%, p = 0.0041). There was no significant difference for cerebrovascular disease (10/210, 4.8% vs 3/138, 2.2%, p = 0.213). SLE was the most prominent CVE predictor in the first 8 years (HR 2.8, 95% CI 1.3-6.3). Hypertension and diabetes were more frequent in patients who developed CVE during the second half of the study. Thirty-one deaths occurred in patients with SLE (10 because of CVD) and 6 in controls (none because of CVD). CONCLUSION: The relative importance of atherosclerotic risk factors is significantly differentiated over time in SLE. Disease-related factors seem to dominate CV risk during the early stages while traditional factors, partially related to corticosteroid treatment, play a significant role later in the disease course.
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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 | 0.004 | 0.003 |
| 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 | 0.001 | 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".