{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T13:36:03Z","timestamp":1788183363678,"version":"build-2803163510"},"reference-count":48,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2016,2,2]],"date-time":"2016-02-02T00:00:00Z","timestamp":1454371200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003123","name":"Fetal Medicine Foundation","doi-asserted-by":"publisher","award":["1037116"],"award-info":[{"award-number":["1037116"]}],"id":[{"id":"10.13039\/501100003123","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ultrasound in Obstet &amp; Gyne"],"published-print":{"date-parts":[[2016,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To develop a model based on maternal characteristics and medical history (maternal factors) for the prediction of delivery of large\u2010for\u2010gestational\u2010age (<jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content>) neonates, and  to examine the potential value of first\u2010, second\u2010 and third\u2010trimester fetal biometry and biomarkers in improving such a model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This was a screening study in 76\u2009300, 54\u2009999, 25\u2009727 and 6181 singleton pregnancies at 11\u201313, 19\u201324, 30\u201334 and 35\u201337\u2009weeks' gestation, respectively. The <jats:italic>a\u2010priori<\/jats:italic> risk for <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> with birth weight\u2009&gt;\u200995<jats:sup>th<\/jats:sup> percentile (<jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> &gt;\u200995<jats:sup>th<\/jats:sup>) was calculated using multivariable logistic regression analysis to determine which of the maternal factors had a significant contribution. Regression analysis was then used to determine whether screening by a combination of maternal factors, fetal biometry and various biophysical and biochemical markers had significant contribution in predicting delivery of <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> neonates.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The likelihood of <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> &gt;\u200995<jats:sup>th<\/jats:sup> increased with increasing maternal weight and height and was lower in women of Afro\u2010Caribbean and South Asian racial origins, in cigarette smokers and in nulliparous women. The risk was higher in women with pre\u2010existing diabetes mellitus Type I and lower in those with chronic hypertension. In parous women, the risk increased with birth\u2010weight <jats:italic>Z\u2010<\/jats:italic>score in previous pregnancy and prior history of gestational diabetes and decreased with interpregnancy interval. Screening by maternal factors at 11\u201313\u2009weeks predicted 32%, 44% and 60% of <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content>\u2009&gt;\u200995<jats:sup>th<\/jats:sup> at false\u2010positive rates (<jats:styled-content style=\"fixed-case\">FPRs<\/jats:styled-content>) of 5%, 10% and 20%, respectively. With the addition of fetal biometry, the detection rates improved to 37%, 51% and 68% at 19\u201324\u2009weeks, 50%, 65% and 81% at 30\u201334\u2009weeks and 60%, 73% and 85% at 35\u201337\u2009weeks at <jats:styled-content style=\"fixed-case\">FPRs<\/jats:styled-content> of 5%, 10% and 20%, respectively. The addition of biomarkers did not improve the detection rates achieved when screening by a combination of maternal factors and fetal biometry.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Combined screening by maternal factors and fetal biometry can predict a high proportion of pregnancies that will deliver <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> neonates. Copyright \u00a9 2015 ISUOG. 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