VP36.04: Early childhood neurodevelopmental outcome after fetal late onset growth restriction
Bibliographic record
Abstract
Late onset intrauterine growth restriction (IUGR) results from placental insufficiency, and it has an adverse impact on brain development. We sought to demonstrate the early childhood neurodevelopmental outcome after fetal late onset growth restriction. 27 late onset normal and 17 late-onset IUGR fetuses were studied through the Obstetric Outpatient Clinic at Mount Sinai Hospital, from December 2013 to December 2015. Developmental follow-ups were taken by neonatologist and developmental pediatrician at Mount Sinai Hospital. At four, eight and twelve months, the infant neurodevelopment in motor, language, social and cognitive skills were evaluated. Bayley scores were collected at 18 and 36 months. Weight, height and head circumference are significantly lower at birth, four months, eight months and twelve months, including lower weight in fetal period and lower head circumference at 18 months (figure 1). The gross motor score by AIMS measured in normal infants at eight and twelve months are significantly lower in the IUGR. Language score and rank are lower in IUGR at 18 months by Bayley III test of infant development. Our follow-up neurodevelopmental testing and measures of head circumference indicate that there may be the potential for catch-up growth and development following late onset IUGR. This final observation is a key consideration for the clinical implications of our results. We have demonstrated a higher incidence of poor neurodevelopmental scores at the early ages among infants who were born following a pregnancy complicated by IUGR. IUGR is an independent variable for poor neurodevelopmental outcome. These patients will be followed to preschool ages for further neurocognitive assessment. Supporting information can be found in the online version of this abstract Supporting Information Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".