Peripartum issues in the inflammatory arthritis patient: A survey of the RAPPORT registry
Bibliographic record
Abstract
Childbearing women with rheumatoid (RA) and psoriatic arthritis (PsA) have significant peripartum issues. A retrospective anonymous RedCAP survey of peripartum period in females with RA/PsA in the RAPPORT registry was performed. Completed analyses included descriptive statistics, Chi-square and Fisher's exact test. 162 patients (133 RA/29 PsA) completed the survey (103 women having 234 pregnancies), 164 pregnancies occurring before and 70 pregnancies occurring after diagnosis. Pregnancy outcomes from 103 patients included: 96% live births, 1.9% stillbirths, 23% miscarriages, and 15% therapeutic abortions. A third of patients had fewer children than desired due to disease activity, medications and other reasons. For 63 pregnancies after diagnosis: (1) 49% of pregnancies received pre-conception counseling; (2) 65% described good disease control during pregnancy but 74% flared in the first 3 months postpartum; (3) 79% of pregnancies discontinued IA medications; (4) 35% of pregnancies occurred on biologic therapy at or prior to conception. Gestational age at time of delivery was 37-40 weeks in 58% (33/57) post-arthritis vs 66% (83/126) pre-arthritis pregnancies. No statistically significant differences occurred between pregnancies before or after RA/PsA diagnosis for: pregnancy planning, fertility treatment, pregnancy and labour/delivery complications, birth defect frequency or neonatal complications. Neonatal ICU admissions were significantly lower in pre- compared to post-arthritis pregnancies (3.2% vs 14.5%). No pregnancy complications were noted in 24/54 pregnancies on medications compared to 6/9 pregnancies not on medications. The impact of RA/PsA before, during and after pregnancy varied considerably in this cohort emphasizing the importance of informed-decision making at all stages.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".