Maternal and neonatal outcomes in pregnant women with autoimmune diseases in Pavia, Italy
Bibliographic record
Abstract
BACKGROUND: The increased number of childbearing women with autoimmune diseases leads to a growing interest in studying relationship among maternal disease, therapy, pregnancy and off-spring. The aim of this study was to determine the impact of autoimmune disease on pregnancy and on neonatal outcome, taking into account the maternal treatment and the transplacental autoantibodies passage. METHODS: We studied 70 infants born to 70 pregnant women with autoimmune disease attended in Fondazione IRCCS Policlinico San Matteo, Pavia, Italy from June 2005 to June 2012. Maternal and neonatal characteristics were collected and relevant clinical, laboratory, therapeutics, sonographic and electrocardiographic investigations were recorded and analyzed. RESULTS: We observed a high rate of spontaneous abortions in medical history, 29 %, and 18.6 % of preterm births and 22.9 % of low birth weight (< 2500 g). Transplacental autoantibodies passage wasn't related to maternal or obstetrical complication, but anti-Ro/SSA positive pregnancies correlated with abnormal fetal heart rate (P = 0.01). Pregnant women on therapy showed an higher incidence of maternal (p = 0.002), obstetric (p = 0.007) complications and an increased rate of intrauterine growth restriction (p = 0.01) than the untreated ones. CONCLUSIONS: Autoimmune diseases in pregnancy require to be carefully monitored to ensure the best possible management of mothers, fetuses and newborns due to the high rate of morbidity specially in case of maternal polytherapy and/or anti-Ro/SSA positivity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".