Thrombosis in Systemic Lupus Erythematosus and Other Autoimmune Diseases of Recent Onset
Bibliographic record
Abstract
OBJECTIVE: To determine the risk of thrombosis in patients with systemic lupus erythematosus (SLE) and other autoimmune diseases of recent onset. METHODS: A retrospective cohort of 482 patients, mean age 28.3 years, with SLE or other autoimmune diseases was analyzed. Followup started at diagnosis or first appointment within 12 months since diagnosis until the development of thrombosis, end of study, loss to followup, or death. Thromboses were diagnosed upon clinical manifestations and confirmed by appropriate studies. Clinical variables were retrieved from the medical records, and SLE activity was assessed from the medical notes at onset of thrombosis, or at a dummy date for thrombosis, using the SLE Disease Activity Index-2K. RESULTS: During 2936 patient-years of followup, thromboses occurred in 49 patients (20.3%) with SLE and 6 patients (2.5%) with other autoimmune diseases. The incidence rate of thrombosis was 36.3 and 3.8 per 1000 patient-years in SLE and in other autoimmune diseases, respectively; relative risk 9.6 (95% CI 4.1-27.4, p<0.0001). Throughout the disease course, the risk of thrombosis remained high in the SLE group, while in patients with other autoimmune diseases this risk was lower. The incidence of venous and arterial thrombosis was similar among SLE patients and patients with other autoimmune diseases. SLE and venous insufficiency were associated with thromboses in the total study population, and with venous insufficiency, vasculitis, and disease activity in the SLE group. CONCLUSION: Patients with autoimmune diseases, particularly SLE, are at an increased risk of thrombosis. In patients with SLE, the risk remains elevated throughout the course of the disease.
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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 | 0.001 | 0.001 |
| 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".