Julianne R Lauring1, Megha Gupta2, Allen R Kunselman3, John T Repke1, Jaimey M Pauli1. 1. a Department of Obstetrics and Gynecology , Division of Maternal Fetal Medicine, Penn State Milton S. Hershey Medical Center , Hershey , PA , USA . 2. b Department of Obstetrics and Gynecology , Penn State Milton S. Hershey Medical Center , Hershey , PA , USA , and. 3. c Department of Public Health Sciences , Penn State, Milton S. Hershey Medical Center , Hershey , PA , USA.
Abstract
OBJECTIVE: Our hypothesis was that newborns of obese mothers would be more likely to be classified as small for gestational age (SGA) by their customized growth curves than by the standard growth curves when compared to newborns of normal-weight mothers. METHODS: This is a retrospective cohort of primiparous patients delivering between 1 July 2008 and 30 June 2012. Normal-weight was defined as BMI ≤25 kg/m(2) and obese as BMI ≥ 30 kg/m(2). Infant birth-weight was characterized as SGA or non-SGA from the Lubchenco curve, the Fenton Preterm Growth Chart, and the customized growth curve. RESULTS: Infants were more likely to be classified as SGA on the customized curve compared with Lubchenco curve. Odds ratio was 2.8 (CI: 1.7-4.4; p = 0.001) for obese women and was 2.9 (CI: 1.7-5.1; p < 0.001) for normal-weight women. Infants were also more likely to be classified as SGA based on the customized curve compared with the Fenton Preterm Growth Curve. The odds ratio was 2.3 (CI: 1.4-3.8; p = 0.001) for obese women and was 1.5 (CI: 1.01-2.33; p = 0.04) for normal-weight women. CONCLUSIONS: Population-based curves may mask SGA in obese women. Our study demonstrates that customized growth curves identify more SGA than population-based growth curves in obese and normal-weight women.
OBJECTIVE: Our hypothesis was that newborns of obese mothers would be more likely to be classified as small for gestational age (SGA) by their customized growth curves than by the standard growth curves when compared to newborns of normal-weight mothers. METHODS: This is a retrospective cohort of primiparous patients delivering between 1 July 2008 and 30 June 2012. Normal-weight was defined as BMI ≤25 kg/m(2) and obese as BMI ≥ 30 kg/m(2). Infant birth-weight was characterized as SGA or non-SGA from the Lubchenco curve, the Fenton Preterm Growth Chart, and the customized growth curve. RESULTS:Infants were more likely to be classified as SGA on the customized curve compared with Lubchenco curve. Odds ratio was 2.8 (CI: 1.7-4.4; p = 0.001) for obesewomen and was 2.9 (CI: 1.7-5.1; p < 0.001) for normal-weight women. Infants were also more likely to be classified as SGA based on the customized curve compared with the Fenton Preterm Growth Curve. The odds ratio was 2.3 (CI: 1.4-3.8; p = 0.001) for obesewomen and was 1.5 (CI: 1.01-2.33; p = 0.04) for normal-weight women. CONCLUSIONS: Population-based curves may mask SGA in obesewomen. Our study demonstrates that customized growth curves identify more SGA than population-based growth curves in obese and normal-weight women.
Entities:
Keywords:
Customized growth charts; estimated fetal weight; fetal growth restriction; obesity; small for gestational age
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