Using Non-inferiority Margins to Define Optimal Gestational Weight Gain Ranges Based on Reducing the Risk of Occurrence of Adverse Neonatal Outcomes
Notice bibliographique
Résumé
To identify optimal gestational weight gain (GWG) ranges to prevent adverse neonatal outcomes based on the new Brazilian GWG charts. Data from 9,294 women from the Brazilian Maternal and Child Nutrition Consortium and Birth in Brazil study were used. Women aged ≥18 years, free of hypertensive disorders, diabetes in pregnancy, or diseases affecting GWG, were selected. Total GWG was calculated as last measured prenatal weight minus self-reported pre-pregnancy weight. Total GWG was standardized to gestational age-specific z scores according to the Brazilian GWG charts. A composite outcome was defined as the occurrence of any of small-for-gestational-age birth (SGA, birthweight < 10th percentile), large-for-gestational-age birth (LGA > 90th percentile) according to INTERGROWTH-21st charts, or preterm birth (birth < 37 weeks). We weighted each outcome in a composite index using previously-published weights to account for its relative seriousness. Logistic and Poisson regressions were performed with GWG z scores as exposure and independent outcomes and the composite outcome, respectively. Models were adjusted for maternal age, education, pre-pregnancy BMI, and smoking during pregnancy. GWG ranges associated with the lowest risk of the composite outcome were identified using the non-inferiority margins approach (20%). The median total GWG was 12.5 kg (IQR 9–16), and 6.2% of the neonates were SGA, 16.6% LGA, and 10.5% were preterm. Higher GWG z scores were associated with an increase in LGA probabilities and preterm birth compared with neonates born with appropriate weight and ≥37 weeks, respectively. Lower z scores were associated with an increase in SGA probability. The non-inferiority margins analysis showed that to prevent the occurrence of these adverse outcomes, women with underweight, normal-weight, overweight, or obesity should gain between 6.5–14.1 kg, 6.4–13.8 kg, 2.2–12.1 kg, and –2.2–8.9 kg, respectively. Total GWG ranges associated with lower risk of adverse neonatal outcomes were identified using non-inferiority margins. The next step must incorporate maternal outcomes in this analysis. Brazilian National Research Council, Brazilian Ministry of Health, Bill and Melinda Gates Foundation.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».