Risk of Venous Thromboembolic Events in Pregnant Patients With Autoimmune Diseases
Bibliographic record
Abstract
OBJECTIVE: The objective of this study is to evaluate the effect of autoimmune disease on the risk of venous thromboembolism (VTE) including deep vein thrombosis (DVT) and pulmonary embolism (PE) in pregnant women. METHODS: Using the Health Care Cost and Utilization Project, Nationwide Inpatient Sample database from 2003 to 2011, the risk of developing DVT, PE, and VTE among pregnant patients with selected autoimmune diseases was estimated using unconditional logistic regression analysis. RESULTS: Our study cohort consisted of 7 917 453 women of which 43 523 had underlying autoimmune diseases. Risk of VTE was high in pregnant women with systemic lupus erythematosus, dermatomyositis, rheumatoid arthritis, type 1 diabetes mellitus, ulcerative colitis, and Crohn's disease. CONCLUSION: Most autoimmune diseases considerably increase the risk of VTE. Thromboprophylaxis may be considered in pregnancies with autoimmune disease, particularly those with systemic lupus erythematosus and dermatomyositis.
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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 | 0.000 |
| 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 | 0.001 |
| 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".