29 Maternal overweight and obesity’s impact on long-term neurodevelopmental outcomes in premature infants (<29 weeks) at 18-24 months corrected age
Bibliographic record
Abstract
Abstract Background Increasing rates of obesity are of growing concern to maternal and child health as mothers with obesity are at risk of pregnancy complications. Infants of mothers with overweight/obese pre-pregnancy body mass index (BMI) may also be at risk of significant neurodevelopmental disorders. The relationship between maternal pre-pregnancy BMI and neurodevelopmental outcomes in preterm infants is not yet clearly defined. Objectives To determine the association of pre-pregnancy BMI of mothers of infants born <29 weeks gestational age (GA) and neurodevelopmental impairment (NDI) at 18-24 months corrected age (CA). Design/Methods Preterm infants born <29 weeks GA between January 2005 and December 2015 evaluated in the neonatal follow-up clinic at 18-24 months CA were included. Demographic characteristics as well as neurodevelopmental status including Bayley-III cognitive, language, and motor scores and sensory impairments were compared between three groups based on maternal pre-pregnancy BMI (BMI1 [18.5-24.9 kg/m2] vs. BMI2 [25-29.9 kg/m2] vs. BMI3 [≥30 kg/m2]) using univariate and multivariable regression models. The primary outcome was a composite of death or NDI. NDI was defined as the presence of Bayley-III <85 on one or more of the cognitive, motor, or language composite scores, any cerebral palsy (GMFCS ≥1), sensorineural or mixed hearing impairment, or unilateral or bilateral visual impairment. Results Of 771 eligible infants, 53 not seen in the follow-up clinic and 21 born to mothers with BMI <18.5 kg/m2 were excluded. Of the remaining 697 participants, 315 (45%) infants were in BMI1, 235 (34%) in BMI2, and 147 (21%) in BMI3 groups. Infants in BMI1, BMI2, and BMI3 groups had mean (SD) birth weight of 897 (231), 854 (208), and 867 (234) grams and median GA (IQR) of 27 (3), 26 (2), and 27 (3) weeks respectively. Rates of associated impairments are shown in Figure 1. The odds of a composite of death or NDI in BMI2 vs. BMI1 and BMI3 vs BMI1 groups were 1.33 (95%CI 0.86-2.06) and 0.76 (95%CI 0.47-1.22) respectively (Table 1). Infants born to mothers in the BMI2 group had twice the odds of scoring <85 on the Bayley-III language composite than those in BMI1 (adjusted odds ratio 2.06 [95% CI; 1.28-3.32]). Conclusion Pre-pregnancy body mass index was not associated with death or neurodevelopmental impairment in very preterm infants at 18-24 months corrected age. However, infants born to mothers who were overweight were more likely to have lower language scores.
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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 | 0.001 | 0.005 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".