Maternal and newborn outcomes in pregnancies complicated by Guillain-Barré syndrome
Bibliographic record
Abstract
OBJECTIVES: Guillain-Barré syndrome (GBS) is a rare autoimmune disorder that affects the peripheral nervous system. The purpose of our study was to evaluate maternal and fetal/neonatal outcomes among pregnancies complicated by GBS. METHODS: We performed a retrospective cohort study using the Healthcare Cost and Utilization Project - National Inpatient Sample from the United States. ICD-9 codes were used to identify all pregnant women who delivered between 1999 and 2015 and had a diagnosis of GBS. The remaining women without GBS who delivered during that time period constituted the comparison group. The associations between maternal GBS and obstetrical and fetal/neonatal outcomes were evaluated using multivariate logistic regression, while adjusting for the confounding effects of maternal characteristics. RESULTS: 0.02). Further, women with GBS were more likely to have pregnancies complicated by preeclampsia, OR 1.69 (95 % CI 1.06-2.69), sepsis, 9.30 (2.33-37.17), postpartum hemorrhage, 1.83 (1.07-3.14), and to require a transfusion, 4.39 (2.39-8.05). They were also at greater risk of caesarean delivery, 2.07 (1.58-2.72) and increased length of hospital stay, 4.48 (3.00-6.69). Newborns of women with GBS were more likely to be growth restricted, 2.50 (1.48-4.23). CONCLUSIONS: GBS in pregnancy is associated with maternal and newborn adverse outcomes. These patients would benefit from close follow-up throughout their pregnancy and in the postpartum period.
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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) | 0.001 | 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".