Literature DB >> 23456900

Accuracy of clinically estimated fetal weight in pregnancies complicated by diabetes mellitus and obesity.

Daphnie Drassinower1, Julia Timofeev2, Chun-Chih Huang3, James E Benson1, Rita W Driggers2, Helain J Landy1.   

Abstract

OBJECTIVE: To determine the accuracy of clinically estimated fetal weight (CEFW) in patients with gestational diabetes (GDM), pregestational diabetes (DM), and obesity. STUDY
DESIGN: This is a retrospective analysis of Consortium of Safe Labor data. Subjects were classified into six groups: DM, DM and obese, GDM, GDM and obese, nondiabetic obese, and controls. The mean difference between birth weight (BW) and CEFW, the percent of accurate CEFW (defined as < 10% difference), and the sensitivity for identifying BW > 4,000 g and > 4,500 g were calculated for each group.
RESULTS: The accuracy of CEFW in our population was 54.3 to 64.4% and was significantly lower in patients with DM and obesity and patients with obesity but not diabetes. When CEFW was analyzed in the >4,000-g and > 4,500-g groups, its accuracy was 20 to 51% and 14 to 40%, respectively. CEFW overestimated BW more commonly in GDM, obese GDM, and obese groups. The sensitivity of CEFW for diagnosing BW > 4,000 g or > 4,500 g was 19.6% and 9.6%, respectively, and it improved in pregnancies complicated by diabetes.
CONCLUSION: CEFW is a poor predictor of macrosomia in pregnancies complicated by obesity and diabetes. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Entities:  

Mesh:

Year:  2013        PMID: 23456900     DOI: 10.1055/s-0033-1334450

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   1.862


  3 in total

1.  Pregestational diabetes mediates the association between maternal obesity and the risk of congenital heart defects.

Authors:  Xiao-Xia Wu; Ru-Xiu Ge; Le Huang; Fu-Ying Tian; Yi-Xuan Chen; Lin-Lin Wu; Jian-Min Niu
Journal:  J Diabetes Investig       Date:  2021-10-03       Impact factor: 4.232

2.  Investigation and Application of Risk Factors of Macrosomia Based on 10,396 Chinese Pregnant Women.

Authors:  Xiaosong Yuan; Xiaoya Han; Chenbo Jia; Wei Long; Huiyan Wang; Bin Yu; Jun Zhou
Journal:  Front Endocrinol (Lausanne)       Date:  2022-04-26       Impact factor: 6.055

Review 3.  Biomarkers for Macrosomia Prediction in Pregnancies Affected by Diabetes.

Authors:  Sofia Nahavandi; Jas-Mine Seah; Alexis Shub; Christine Houlihan; Elif I Ekinci
Journal:  Front Endocrinol (Lausanne)       Date:  2018-07-31       Impact factor: 5.555

  3 in total

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