Neurodevelopment of Children After Maternal Hospitalization for Nausea and Vomiting of Pregnancy [252]
Bibliographic record
Abstract
INTRODUCTION: Child outcomes associated with severe maternal nausea and vomiting of pregnancy are understudied. The study objective was to determine child long-term neurodevelopment after maternal hospitalization for severe nausea and vomiting of pregnancy. METHODS: Motherisk NVP Helpline callers from 2006 to 2012 were identified from our prospectively collected database. Women with nausea and vomiting of pregnancy treated with doxylamine–pyridoxine (Diclectin/Diclegis) or with no pharmacotherapy were included. Diclectin/Diclegis dose, severity of nausea and vomiting of pregnancy, hospitalization for nausea and vomiting of pregnancy, concomitant medications, severity of maternal depression, and maternal intelligence quotient (IQ) were obtained. Children (ages 3 6/12 to 6 11/12 years) were assessed using standardized psychological tests. The study cohort was divided into three groups: 1) nausea and vomiting of pregnancy treated with more than four tablets per day of Diclectin/Diclegis (above the manufacturer-recommended number of tablets) (n=62); 2) nausea and vomiting of pregnancy treated with the recommended up to four tablets per day (n=81); and 3) nausea and vomiting of pregnancy and no pharmacotherapy (n=76). RESULTS: Twenty-two women were hospitalized for severe nausea and vomiting of pregnancy. The hospitalized women initiated recommended preventive antiemetics significantly later (6.8 compared with 5.7 weeks, P=.02), experienced more severe nausea and vomiting of pregnancy (11.1 compared with 7.5, P<.001), and depression (10.1 compared with 5.1, P=.03) and needed higher daily doses of Diclectin/Diclegis (1.0 compared with 0.4 mg/kg per day, P<.001) and concomitant medications. Children of hospitalized mothers achieved significantly lower IQ scores (verbal 107.2 compared with 112.7, P=.04; performance 105.6 compared with 112.3, P=.03; full scale 108.7 compared with 114.2, P=.05). Duration of hospitalization, maternal depression, and maternal IQ were significant predictors for these outcomes. Daily intake of Diclectin/Diclegis was not associated with any adverse outcomes. CONCLUSION: Timely preventive antiemetics and depression control may prevent hospitalization and be associated with favorable child neurodevelopment. More research is needed to investigate the effect of severe nausea and vomiting of pregnancy and confirm these results.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".