TY - JOUR
T1 - Abnormal Maternal Body Mass Index and Customized Fetal Weight Charts:
T2 - Improving the Identification of Small for Gestational Age Fetuses and Newborns
AU - González, Nieves Luisa González
AU - Dávila, Enrique González
AU - Martín, Agustina González
AU - Armas, Marina
AU - Tascón, Laura
AU - Farras, Alba
AU - Higueras, Teresa
AU - Mendoza, Manel
AU - Carreras, Elena
AU - Goya, María
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/1/22
Y1 - 2023/1/22
N2 - Background: Obesity and thinness are serious diseases, but cases with abnormal maternal weight have not been excluded from the calculations in the construction of customized fetal growth curves (CCs). Method: To determine if the new CCs, built excluding mothers with an abnormal weight, are better than standard CCs at identifying SGA. A total of 16,122 neonates were identified as SGA, LGA, or AGA, using the two models. Logistic regression and analysis of covariance were used to calculate the OR and CI for adverse outcomes by group. Gestational age was considered as a covariable. Results: The SGA rates by the new CCs and by the standard CCs were 11.8% and 9.7%, respectively. The SGA rate only by the new CCs was 18% and the SGA rate only by the standard CCs was 0.01%. Compared to AGA by both models, SGA by the new CCs had increased rates of cesarean section, (OR 1.53 (95% CI 1.19, 1.96)), prematurity (OR 2.84 (95% CI 2.09, 3.85)), NICU admission (OR 5.41 (95% CI 3.47, 8.43), and adverse outcomes (OR 1.76 (95% CI 1.06, 2.60). The strength of these associations decreased with gestational age. Conclusion: The use of the new CCs allowed for a more accurate identification of SGA at risk of adverse perinatal outcomes as compared to the standard CCs.
AB - Background: Obesity and thinness are serious diseases, but cases with abnormal maternal weight have not been excluded from the calculations in the construction of customized fetal growth curves (CCs). Method: To determine if the new CCs, built excluding mothers with an abnormal weight, are better than standard CCs at identifying SGA. A total of 16,122 neonates were identified as SGA, LGA, or AGA, using the two models. Logistic regression and analysis of covariance were used to calculate the OR and CI for adverse outcomes by group. Gestational age was considered as a covariable. Results: The SGA rates by the new CCs and by the standard CCs were 11.8% and 9.7%, respectively. The SGA rate only by the new CCs was 18% and the SGA rate only by the standard CCs was 0.01%. Compared to AGA by both models, SGA by the new CCs had increased rates of cesarean section, (OR 1.53 (95% CI 1.19, 1.96)), prematurity (OR 2.84 (95% CI 2.09, 3.85)), NICU admission (OR 5.41 (95% CI 3.47, 8.43), and adverse outcomes (OR 1.76 (95% CI 1.06, 2.60). The strength of these associations decreased with gestational age. Conclusion: The use of the new CCs allowed for a more accurate identification of SGA at risk of adverse perinatal outcomes as compared to the standard CCs.
KW - Customized growth charts
KW - Fetal weight
KW - Newborn weight
KW - Maternal body mass index
KW - Obesity
KW - Thinness
KW - Small for gestational age
KW - Birthweight
KW - Perinatal outcomes
UR - https://www.scopus.com/pages/publications/85147712310
U2 - 10.3390/nu15030587
DO - 10.3390/nu15030587
M3 - Article
C2 - 36771294
SN - 2072-6643
VL - 15
JO - Nutrients
JF - Nutrients
IS - 3
M1 - 587
ER -