Journal article
Correction of systematic bias in ultrasound dating in studies of small-for-gestational-age birth: an example from the Iowa Health in Pregnancy Study
American journal of epidemiology, Vol.176(5), pp.443-455
09/01/2012
DOI: 10.1093/aje/kws120
PMCID: PMC3499119
PMID: 22886591
Abstract
The authors examined whether early ultrasound dating (≤20 weeks) of gestational age (GA) in small-for-gestational-age (SGA) fetuses may underestimate gestational duration and therefore the incidence of SGA birth. Within a population-based case-control study (May 2002-June 2005) of Iowa SGA births and preterm deliveries identified from birth records (n = 2,709), the authors illustrate a novel methodological approach with which to assess and correct for systematic underestimation of GA by early ultrasound in women with suspected SGA fetuses. After restricting the analysis to subjects with first-trimester prenatal care, a nonmissing date of the last menstrual period (LMP), and early ultrasound (n = 1,135), SGA subjects' ultrasound GA was 5.5 days less than their LMP GA, on average. Multivariable linear regression was conducted to determine the extent to which ultrasound GA predicted LMP dating and to correct for systematic misclassification that results after applying standard guidelines to adjudicate differences in these measures. In the unadjusted model, SGA subjects required a correction of +1.5 weeks to the ultrasound estimate. With adjustment for maternal age, smoking, and first-trimester vaginal bleeding, standard guidelines for adjudicating differences in ultrasound and LMP dating underestimated SGA birth by 12.9% and overestimated preterm delivery by 8.7%. This methodological approach can be applied by researchers using different study populations in similar research contexts.
Details
- Title: Subtitle
- Correction of systematic bias in ultrasound dating in studies of small-for-gestational-age birth: an example from the Iowa Health in Pregnancy Study
- Creators
- Karisa K Harland - Injury Prevention Research Center and Department of Epidemiology, University of Iowa, Iowa City, IA 52242-5000, USA. kari-harland@uiowa.eduAudrey F SaftlasAnne B WallisJerome YankowitzElizabeth W TricheM Bridget Zimmerman
- Resource Type
- Journal article
- Publication Details
- American journal of epidemiology, Vol.176(5), pp.443-455
- DOI
- 10.1093/aje/kws120
- PMID
- 22886591
- PMCID
- PMC3499119
- NLM abbreviation
- Am J Epidemiol
- ISSN
- 0002-9262
- eISSN
- 1476-6256
- Publisher
- United States
- Grant note
- R49 CD001167 / ODCDC CDC HHS R49 CE001167 / NCIPC CDC HHS R01-HD39753 / NICHD NIH HHS R01 HD039753 / NICHD NIH HHS
- Language
- English
- Date published
- 09/01/2012
- Academic Unit
- Epidemiology; Emergency Medicine; Biostatistics; Obstetrics and Gynecology; Injury Prevention Research Center; Public Policy Center (Archive); Law Faculty
- Record Identifier
- 9983997463802771
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