{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T21:11:56Z","timestamp":1777497116748,"version":"3.51.4"},"reference-count":33,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2019,2,24]],"date-time":"2019-02-24T00:00:00Z","timestamp":1550966400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004348","name":"Stockholms L\u00e4ns Landsting","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004348","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Obstet Gynecol Scand"],"published-print":{"date-parts":[[2019,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Infants born large for gestational age (<jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content>) have increased risks of adverse perinatal outcomes. Maternal obesity, defined as body mass index (<jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>) \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup>, is one of the most prevalent risk factors for <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> and the proportion of pregnancies complicated by obesity is increasing. Early identification of women with <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup> at increased risk of giving birth to an <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> infant may open possibilities for prevention, aiming at decreasing the incidence of <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Material and methods<\/jats:title><jats:p>A population\u2010based cohort study using information from the first\u2010trimester screening database, which was cross\u2010linked with the Swedish Medical Birth Register. The database included 139\u00a0277 full\u2010term singletons without fetal anomalies born between 2006 and 2015 to mothers without prepregnancy diabetes. Of these, 9.1% (n\u00a0=\u00a012\u00a0704) were infants of mothers with <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup>. For all women with <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup>, a prediction model for <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> to be used in early pregnancy was constructed based on information on biochemical markers and maternal characteristics. A similar model, as well as a prepregnancy prediction model, were constructed for parous women with <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup>. In parous women, data from the previous pregnancy were also used. Receiver operating characteristic curve and area under curve (<jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>) were calculated.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The predictive models for <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> in parous women with <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup> prepregnancy and in early pregnancy had <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>s of 0.80 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 0.78\u20100.82) and 0.81 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 0.79\u20100.82), respectively. For all women with <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup>, the prediction of <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> in early pregnancy had an <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content> of 0.66 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 0.64\u20100.67).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Performance of the prepregnancy and early pregnancy prediction models for <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> in parous women with <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup> was good. The predictive capacity was largely driven by previous child's birthweight. First\u2010trimester measurements of fetal size did not improve the predictive capacity in parous women. Predictions of <jats:styled-content style=\"fixed-case\">LGA<\/jats:styled-content> in all women with <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup> in early pregnancy, without taking previous child's birthweight into account, remain difficult.<\/jats:p><\/jats:sec>","DOI":"10.1111\/aogs.13546","type":"journal-article","created":{"date-parts":[[2019,1,28]],"date-time":"2019-01-28T08:55:07Z","timestamp":1548665707000},"page":"769-776","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Prediction of large\u2010for\u2010gestational\u2010age infants in pregnancies complicated by obesity: A population\u2010based cohort study"],"prefix":"10.1111","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7599-567X","authenticated-orcid":false,"given":"Hanna","family":"\u00c5mark","sequence":"first","affiliation":[{"name":"Department of Clinical Science and Education Unit of Obstetrics and Gynecology Karolinska Institute S\u00f6dersjukhuset Stockholm Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Magnus","family":"Westgren","sequence":"additional","affiliation":[{"name":"Department of Clinical Sciences, Intervention &amp; Technology Karolinska Institutet Stockholm Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martina","family":"Persson","sequence":"additional","affiliation":[{"name":"Department of Clinical Science and Education Unit of Obstetrics and Gynecology Karolinska Institute S\u00f6dersjukhuset Stockholm Sweden"},{"name":"Department of Medicine Clinical Epidemiology Unit Karolinska University Hospital Stockholm Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,2,24]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/14767058.2017.1376048"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1067\/mob.2003.302"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0061627"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00394-016-1372-0"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijpo.230"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1651-2227.2009.01674.x"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ijo.0801670"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)30054-X"},{"key":"e_1_2_10_10_1","unstructured":"NBoHa.W. 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