Literature DB >> 12493044

Mid-trimester ultrasound prediction of gestational age: advantages and systematic errors.

K Källén1.   

Abstract

OBJECTIVE: To detect possible sources of bias in ultrasound prediction of gestational age. SUBJECTS AND METHODS: Using the Swedish Medical Birth Registry, 571 617 women were identified who were delivered between 1990 and 1997 and who had obtainable information on last menstrual period and expected date of delivery according to ultrasound.
RESULTS: Male fetuses were more likely than females to be judged older than the last menstrual period date suggested at early fetometry. The estimated magnitude of the systematic error by infant gender corresponded to 1.5 days. Similarly, the fetuses of young women, multiparous women, smokers and women with low educational level were at increased risk of being smaller than expected at ultrasound examination in early pregnancy. A strong association was seen between adjustments of expected date of delivery -7 days or more and small-for-gestational age according to ultrasound at birth. Compared to singleton pregnancies, twin pregnancies were more likely to be judged more progressed at ultrasound fetometry than the last menstrual period date suggested.
CONCLUSIONS: Compared to last menstrual period estimates, routine ultrasound measurements to predict date of delivery are comparatively reliable but systematic errors are inherent in the method. The erroneous adjusted dates may be due to incorrect measurements or systematic bias (e.g. gender), but they are also likely to reflect early growth restriction (e.g. in the case of maternal smoking and small-for-gestational age). Further studies are needed to investigate whether the systematic errors in ultrasound prediction of gestational age could lead to suboptimal obstetric management in adjusted pregnancies.

Entities:  

Mesh:

Year:  2002        PMID: 12493044     DOI: 10.1046/j.1469-0705.2002.00855.x

Source DB:  PubMed          Journal:  Ultrasound Obstet Gynecol        ISSN: 0960-7692            Impact factor:   7.299


  7 in total

1.  Correction of systematic bias in ultrasound dating in studies of small-for-gestational-age birth: an example from the Iowa Health in Pregnancy Study.

Authors:  Karisa K Harland; Audrey F Saftlas; Anne B Wallis; Jerome Yankowitz; Elizabeth W Triche; M Bridget Zimmerman
Journal:  Am J Epidemiol       Date:  2012-08-10       Impact factor: 4.897

2.  Validation of obstetric estimate using early ultrasound: 2007 California birth certificates.

Authors:  Danielle T Barradas; Patricia M Dietz; Michelle Pearl; Lucinda J England; William M Callaghan; Martin Kharrazi
Journal:  Paediatr Perinat Epidemiol       Date:  2013-10-10       Impact factor: 3.980

3.  Trends in the distribution of gestational age and contribution of planned births in New South Wales, Australia.

Authors:  Natasha Nassar; Michal Schiff; Christine L Roberts
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

Review 4.  Methodological Issues in the Study of the Development of Pain Responsivity in Preterm Neonates: A Systematic Review.

Authors:  Damiano Menin; Marco Dondi
Journal:  Int J Environ Res Public Health       Date:  2020-05-17       Impact factor: 3.390

5.  Discordant dating of pregnancy by LMP and ultrasound and its implications in perinatal statistics.

Authors:  Lalit K Sharma; Jyoti Bindal; Vishal A Shrivastava; Mansi Sharma; Rijo M Choorakuttil; Praveen K Nirmalan
Journal:  Indian J Radiol Imaging       Date:  2020-03-30

6.  Dating of Pregnancy in First versus Second Trimester in Relation to Post-Term Birth Rate: A Cohort Study.

Authors:  Ida Näslund Thagaard; Lone Krebs; Ulrik Lausten-Thomsen; Severin Olesen Larsen; Jens-Christian Holm; Michael Christiansen; Torben Larsen
Journal:  PLoS One       Date:  2016-01-13       Impact factor: 3.240

7.  Maternal and fetal characteristics affect discrepancies between pregnancy-dating methods: a population-based cross-sectional register study.

Authors:  Merit Kullinger; Jan Wesström; Helle Kieler; Alkistis Skalkidou
Journal:  Acta Obstet Gynecol Scand       Date:  2016-11-13       Impact factor: 3.636

  7 in total

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