Four years on: Pregnancy and birth outcomes reported in the MSBase pregnancy, neonatal outcomes, and Women’s Health Registry (2020–2024)
Bibliographic record
Abstract
BACKGROUND: Family planning is an important aspect of multiple sclerosis (MS), and neuromyelitis optica spectrum disorder (NMOSD) management. Knowledge gaps remain, including optimal perinatal management strategies, and fetal risks associated with disease-modifying therapy (DMT) exposure. OBJECTIVE: To describe perinatal DMT use, together with pregnancy and neonatal outcomes prospectively recorded in the International MSBase Pregnancy and Women's Health Registry. METHODS: We report summary statistics for data collected between May 2020 and August 2024. RESULTS: A total of 1887 relapsing-remitting MS (RRMS), 12 primary-progressive MS (PPMS), 2 radiologically isolated syndrome (RIS) and 21 NMOSD completed pregnancies were recorded, including 1644 (85.5%) live births, 208 (10.8%) miscarriages, and 6 (0.3%) neonatal deaths. Most women had unassisted (53.8%) or assisted (7.4%) vaginal births. Seventy five percent of pregnancies had DMT exposures within 6 months preconception; 19% of NMOSD, and 62% of MS pregnancies were DMT-exposed during gestation; 18.1% of pregnancies reported in-pregnancy monoclonal antibody DMT exposure. No overt safety signals were seen. CONCLUSION: This first report from the newly launched MSBase pregnancy registry, establishes an increasing number of pregnancies being conceived on monoclonal antibody therapies. Although no safety signals were observed, it is important to continue monitoring for safety signals in real-world databases as the use of highly effective therapies continues to increase perinatally.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".