Literature DB >> 22123996

Prediction of large for gestational age birth weights in diabetic mothers based on early third-trimester sonography.

Latasha Nelson1, Brook Wharton, William A Grobman.   

Abstract

OBJECTIVES: The purpose of this study was to evaluate the ability of early third-trimester sonography to predict large for gestational age (LGA) birth weights in women with diabetes mellitus.
METHODS: We identified women with nonanomalous singleton gestations and pregestational and gestational diabetes mellitus who underwent sonographic examinations between gestational ages of 28 weeks and 32 weeks 6 days and subsequently delivered at 37 weeks or later. Using a cohort study design, we compared data from women with an estimated fetal weight at or above the 75th percentile (exposed group) with data from those with an estimated fetal weight below the 75th percentile (unexposed group). The primary outcome variable was LGA birth weight, defined as a birth weight of greater than 90% for gestational age.
RESULTS: Eighty-six women met inclusion criteria over a 3-year period: 40 were in the exposed group, and 46 were in the unexposed group. The mean body mass indices ± SD at delivery were similar for both groups: 35.4 ± 8.2 kg/m(2) exposed versus 35.0 ± 8.2 kg/m(2) unexposed (P = .80). There was no difference in the number of women with gestational diabetes mellitus: 40% exposed versus 39% unexposed (P = .90). Neonates whose early third-trimester estimated fetal weight was at or above the 75th percentile were significantly more likely to be LGA at birth compared with neonates whose early third-trimester estimated fetal weight was below the 75th percentile: 65% exposed versus 15% unexposed (P < .001; odds ratio, 10.3; 95% confidence interval, 3.7-29.1). There was no significant difference in cesarean delivery rates: 60% exposed versus 44% unexposed (P = .13)
CONCLUSIONS: Measurements obtained by early third-trimester sonographic fetal biometry are reasonably predictive of fetal LGA birth weights at term.

Entities:  

Mesh:

Year:  2011        PMID: 22123996     DOI: 10.7863/jum.2011.30.12.1625

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  7 in total

1.  Identifying Fetal Growth Disorders Using Ultrasonography in Women With Diabetes.

Authors:  Annie M Dude; Lynn M Yee
Journal:  J Ultrasound Med       Date:  2017-10-31       Impact factor: 2.153

2.  Genetic risk score for prediction of newborn adiposity and large-for-gestational-age birth.

Authors:  Reeti Chawla; Sylvia E Badon; Janani Rangarajan; Anna C Reisetter; Loren L Armstrong; Lynn P Lowe; Margrit Urbanek; Boyd E Metzger; M Geoffrey Hayes; Denise M Scholtens; William L Lowe
Journal:  J Clin Endocrinol Metab       Date:  2014-08-19       Impact factor: 5.958

3.  Association between Sonographic Estimated Fetal Weight and the Risk of Cesarean Delivery among Nulliparous Women with Diabetes in Pregnancy.

Authors:  Annie M Dude; William A Grobman; Lynn M Yee
Journal:  Am J Perinatol       Date:  2018-05-04       Impact factor: 1.862

4.  Identifying fetal growth disorders using ultrasound in obese nulliparous women.

Authors:  Annie M Dude; Berkley Davis; Katie Delaney; Lynn M Yee
Journal:  J Matern Fetal Neonatal Med       Date:  2019-08-01

5.  A Predictive Model for Large-for-Gestational-Age Infants among Korean Women with Gestational Diabetes Mellitus Using Maternal Characteristics and Fetal Biometric Parameters.

Authors:  Hee-Sun Kim; Soo-Young Oh; Geum Joon Cho; Suk-Joo Choi; Soon Cheol Hong; Ja-Young Kwon; Han Sung Kwon
Journal:  J Clin Med       Date:  2022-08-23       Impact factor: 4.964

6.  A first trimester prediction model for large for gestational age infants: a preliminary study.

Authors:  Francesca Monari; Daniela Menichini; Ludovica Spano' Bascio; Giovanni Grandi; Federico Banchelli; Isabella Neri; Roberto D'Amico; Fabio Facchinetti
Journal:  BMC Pregnancy Childbirth       Date:  2021-09-24       Impact factor: 3.007

7.  A Clinical Update on Gestational Diabetes Mellitus.

Authors:  Arianne Sweeting; Jencia Wong; Helen R Murphy; Glynis P Ross
Journal:  Endocr Rev       Date:  2022-09-26       Impact factor: 25.261

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.