Literature DB >> 10757437

Sonographic EFW and macrosomia: is there an optimum formula to predict diabetic fetal macrosomia?

C A Combs1, B Rosenn, M Miodovnik, T A Siddiqi.   

Abstract

OBJECTIVE: To compare the accuracy of 31 published formulas for estimated fetal weight (EFW) in predicting macrosomia (birthweight 4,000 gm or more) in infants of diabetic mothers.
METHODS: The study population comprised 165 women with gestational or pregestational diabetes who had sonograms to estimate fetal weight after 36 weeks of gestation and within 2 weeks of delivery. Three measures of accuracy were compared: 1) area under the receiver operating characteristic (ROC) curve relating EFW to macrosomia, 2) systematic error, and 3) absolute error. For each measure, the 31 formulas were rank-ordered from 1 (best) to 31 (worst). For each formula, the three rank scores were summed to give a total score. The formula with the lowest total score was considered the "best" formula.
RESULTS: Macrosomia occurred in 49 cases (30%). Areas under the ROC curves ranged from 0.8361-0.8978. Differences in areas were not significantly different between the 31 formulas. The 1986 formula of Ott et al. had the lowest total score. Using this "best" formula, an EFW of 4,000 gm or more had a sensitivity of 45% to predict macrosomia and a positive predictive value of 81%. To achieve 90% sensitivity with this formula would have required diagnosis of macrosomia with an EFW of 3,535 gm or more, but this would have comprised 46% of the population with a 42% false-positive rate. All 31 formulas were better at predicting macrosomia than predictions based on gestational age alone, and 28 were better than predictions based on abdominal circumference alone.
CONCLUSIONS: All 31 formulas for EFW had comparably poor accuracy for prediction of macrosomia. Delivery decisions based on EFW will often be in error. Future studies should determine whether specific sonographic measurements, ratios, or differences are better than EFW or birthweight as predictors of birth trauma.

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Year:  2000        PMID: 10757437     DOI: 10.1002/(SICI)1520-6661(200001/02)9:1<55::AID-MFM12>3.0.CO;2-9

Source DB:  PubMed          Journal:  J Matern Fetal Med        ISSN: 1057-0802


  11 in total

1.  A new algorithm for improving fetal weight estimation from ultrasound data at term.

Authors:  W Siggelkow; M Schmidt; C Skala; D Boehm; S von Forstner; H Koelbl; A Tresch
Journal:  Arch Gynecol Obstet       Date:  2010-02-20       Impact factor: 2.344

2.  Fetal weight estimation for prediction of fetal macrosomia: does additional clinical and demographic data using pattern recognition algorithm improve detection?

Authors:  Shimon Degani; Dori Peleg; Karina Bahous; Zvi Leibovitz; Israel Shapiro; Gonen Ohel
Journal:  J Prenat Med       Date:  2008-01

3.  Correlation of ultrasonographic estimated fetal weight with actual birth weight in a tertiary hospital in Lagos, Nigeria.

Authors:  Cletus Uche Eze; Livinus Chibuzo Abonyi; Jerome Njoku; Udo Okorie; Olayinka Owonifari
Journal:  Afr Health Sci       Date:  2015-12       Impact factor: 0.927

4.  A modified prenatal growth assessment score for the evaluation of fetal growth in the third trimester using single and composite biometric parameters.

Authors:  Russell L Deter; Wesley Lee; Haleh Sangi-Haghpeykar; Adi L Tarca; Lami Yeo; Roberto Romero
Journal:  J Matern Fetal Neonatal Med       Date:  2014-07-11

Review 5.  Defining normal and abnormal fetal growth: promises and challenges.

Authors:  Jun Zhang; Mario Merialdi; Lawrence D Platt; Michael S Kramer
Journal:  Am J Obstet Gynecol       Date:  2010-01-13       Impact factor: 8.661

6.  Fetal weight estimation by automated three-dimensional limb volume model in late third trimester compared to two-dimensional model: a cross-sectional prospective observational study.

Authors:  Hua Meng; Yunshu Ouyang; Xining Wu; Zihan Niu; Zhonghui Xu; Yuxin Jiang; Yixiu Zhang
Journal:  BMC Pregnancy Childbirth       Date:  2021-05-08       Impact factor: 3.007

7.  Fetal macrosomia: risk factors, maternal, and perinatal outcome.

Authors:  A Mohammadbeigi; F Farhadifar; N Soufi Zadeh; N Mohammadsalehi; M Rezaiee; M Aghaei
Journal:  Ann Med Health Sci Res       Date:  2013-10

8.  Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus.

Authors:  Akin Usta; Ceyda Sancakli Usta; Ayla Yildiz; Ruhsen Ozcaglayan; Eylem Sen Dalkiran; Aydin Savkli; Meryem Taskiran
Journal:  Pan Afr Med J       Date:  2017-02-02

9.  Fractional fetal thigh volume in the prediction of normal and abnormal fetal growth during the third trimester of pregnancy.

Authors:  Louise E Simcox; Jenny E Myers; Tim J Cole; Edward D Johnstone
Journal:  Am J Obstet Gynecol       Date:  2017-06-23       Impact factor: 8.661

10.  Comparison of diagnostic value of two-dimensional ultrasound and clinical examination in fetal weight estimation.

Authors:  Maryam Nurzadeh; Mahsa Naemi; Shahrzad Sheikh Hasani
Journal:  J Family Med Prim Care       Date:  2022-02-16
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