FIRST CASES IN THE LUPUS PREGNANCY CLINIC OF A TERTIARY UNIVERSITY HOSPITAL IN 2024
Bibliographic record
Abstract
PV185 / #628 Poster Topic: AS21 - Pregnancy and Reproductive Health Background/Purpose Pregnancy in systemic lupus erythematosus (SLE) requires specialized management to minimize maternal and fetal complications. In 2024, we established a dedicated lupus pregnancy clinic within our rheumatology department at a tertiary university hospital. This study reports the first 6 pregnancies managed in this clinic. Methods Six pregnant patients with SLE were followed during their gestations. Three were anti-Ro/SSA positive, 2 were positive for antiphospholipid antibodies (aPL), and 1 was negative for both anti-Ro/SSA and aPL. All patients were in remission or had low disease activity at conception. • Anti-Ro/SSA positive patients received hydroxychloroquine (HCQ) and low-dose prednisone (5–10 mg/day) during the first trimester. Routine obstetric care included fetal heart rate monitoring at 16, 20, and 24 weeks, along with uterine artery Doppler assessments. • aPL-positive patients: One with prior thrombosis received HCQ and therapeutic heparin. The other received prophylactic heparin and aspirin. • The anti-Ro/SSA and aPL-negative patient was treated solely with HCQ. No patient received teratogenic medications or biologic therapies during pregnancy. Results All 6 pregnancies resulted in successful outcomes, with no maternal or fetal complications. There were no cases of fetal congenital abnormalities, intrauterine growth restriction, or neonatal issues. Routine monitoring and close collaboration with obstetrics ensured optimal outcomes. Conclusions Close interdisciplinary management of pregnancies in SLE patients, with disease control and tailored treatments, maximizes the likelihood of successful outcomes and minimizes complications. Our experience underscores the importance of dedicated lupus pregnancy clinics in achieving these goals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".