Mixed connective tissue disease in pregnancy: A case series and systematic literature review
Bibliographic record
Abstract
Objective To investigate the impact of medical and obstetric complications associated with mixed connective tissue disease (MCTD) in pregnancy. Method We analyzed 68 pregnancies from a systematic literature review and 12 pregnancies affected by MCTD at our centre between 1986 and 2015 for medical and obstetric complications. Results During pregnancy 37.1% had active MCTD and 26.7% had relapsed. Maternal complications included caesarean section (31.1%, n = 19), preeclampsia (17.6%, n = 13), thromboembolism events, and death (2.5%, n = 2 for each). Fetal complications included prematurity (48.1%, n = 25), intrauterine growth restriction (38.3%, n = 19), and neonatal lupus (28.6%, n = 18, including chondrodysplasia punctata). More than half ( n = 10) of the neonatal lupus cases were explained by anti-U 1 RNP only. The perinatal mortality rate was 17.7% ( n = 14). Pregnant women with active disease had higher rates of prematurity (OR = 7.60; 95%CI [1.93; 29.95]) and perinatal death (OR = 16.83; 95%CI [1.90; 147.70]). Conclusion MCTD in pregnancy puts women at risk of medical and obstetric complications, and disease activity probably increases this risk.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.014 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".