Risk Factors for Development of Coronary Artery Disease in Women with Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: To ascertain coronary artery disease (CAD) outcomes and predictive factors in a prospective study of patients with systemic lupus erythematosus (SLE) and matched healthy controls. METHODS: SLE patients and non-SLE age-matched controls without a history of CAD were recruited into a prospective study between 1997 and 1999. CAD events were assessed at clinic visit for SLE patients and through telephone interview and chart review for controls. All events were verified with patient medical records. RESULTS: Followup information was available on 237 controls and 241 SLE patients. The mean followup time was 7.2 years. Univariate analyses identified age and postmenopausal status as predictors of CAD in both the groups. Sedentary lifestyle, hypertension, the presence of metabolic syndrome, and the number of Framingham risk factors were predictive in the control group only. The 10-year risk of CAD score was predictive in both groups but was not as marked in the SLE group as in the controls. None of the lipid subfractions were predictive for CAD in the SLE group, whereas in the controls, a high triglyceride level >or= 2.8 was predictive. Time-to-event multivariate analysis for CAD in all subjects revealed SLE itself, older age, and triglycerides >or= 2.8 to be highly predictive for CAD. CONCLUSION: In a prospective study of patients with SLE and matched controls followed over a median of 8 years, patients with SLE developed significantly more CAD events than controls. Accounting for demographic variability, CAD risk factors, and lipid factors, SLE is an independent risk factor for the development of CAD.
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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 | 0.002 | 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".