Prospective assessment of neurodevelopment in children following a pregnancy complicated by severe pre-eclampsia
Bibliographic record
Abstract
OBJECTIVE: To prospectively examine whether children of women with a pregnancy affected by severe pre-eclampsia (PE), compared to children of women without a PE-affected pregnancy, have differences in neurodevelopmental performance up to 5 years of age. DESIGN: Prospective cohort study. SETTING: Tertiary care centre. PARTICIPANTS: Women were recruited following a PE-affected pregnancy. After each PE participant was recruited, the next normotensive woman without a prior history of PE and matched by parity, maternal age and race was invited to participate. Women with a history of chronic hypertension, diabetes or renal disease were excluded. Total enrolment included 129 PE-affected and 140 normotensive mothers. OUTCOME MEASURES: The primary outcome measure was failure of the Ages and Stages Questionnaire (ASQ). The ASQ was completed yearly, until age 5. RESULTS: A significant difference was found in the proportion of ASQ categories failed in year 3 (p<0.05), and this approached significance in years 1 and 4 (p<0.10 and p<0.15, respectively). At year 1, the number of ASQ categories failed was significantly greater among children born to PE mothers. A subgroup analysis revealed that a significant proportion of PE children born preterm (<37 weeks) failed the ASQ in years 3 and 4 (p<0.05), and when failed, those who were preterm failed significantly more categories (p<0.05). A trend towards increased failure in the gross motor category was found. There was a significant positive correlation between maternal lifetime CVD risk score and number of ASQ categories failed at years 1 and 3 (p<0.05). CONCLUSIONS: Severe PE is associated with other adverse pregnancy outcomes, including intrauterine growth restriction and preterm birth, all of which are associated with increased neurodevelopment delays. Thus, PE indicates a need for early screening and intervention at the neurodevelopmental level to improve children's long-term health, with larger studies required to tease out contributing factors.
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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 | 0.001 |
| 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".