{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T20:33:38Z","timestamp":1792701218900,"version":"4.5.0"},"reference-count":40,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2014,3,27]],"date-time":"2014-03-27T00:00:00Z","timestamp":1395878400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ultrasound in Obstet &amp; Gyne"],"published-print":{"date-parts":[[2014,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>To compare the value of Doppler surveillance with maternal blood angiogenic factors at diagnosis for the prediction of adverse outcome in late\u2010pregnancy small\u2010for\u2010gestational\u2010age (<jats:styled-content style=\"fixed-case\">SGA<\/jats:styled-content>) fetuses.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In a cohort of 198 <jats:styled-content style=\"fixed-case\">SGA<\/jats:styled-content> fetuses we evaluated the association of Doppler indices (mean uterine artery pulsatility index (<jats:styled-content style=\"fixed-case\">UtA\u2010PI<\/jats:styled-content>) and cerebroplacental ratio (<jats:styled-content style=\"fixed-case\">CPR<\/jats:styled-content>)) and angiogenic factors (maternal serum levels of  soluble fms\u2010like tyrosine kinase\u20101 (<jats:styled-content style=\"fixed-case\">sFlt<\/jats:styled-content>\u20101) and placental growth factor (<jats:styled-content style=\"fixed-case\">PlGF<\/jats:styled-content>)) with the development of pre\u2010eclampsia and adverse perinatal outcome (operative delivery for non\u2010reassuring fetal status or neonatal metabolic acidosis).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In <jats:styled-content style=\"fixed-case\">SGA<\/jats:styled-content> fetuses subsequently developing pre\u2010eclampsia, mean <jats:styled-content style=\"fixed-case\">UtA\u2010PI<\/jats:styled-content> (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001), <jats:styled-content style=\"fixed-case\">sFlt<\/jats:styled-content>\u20101 <jats:styled-content style=\"fixed-case\">MoM<\/jats:styled-content> (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) and <jats:styled-content style=\"fixed-case\">sFlt<\/jats:styled-content>\u20101\/<jats:styled-content style=\"fixed-case\">PlGF MoM<\/jats:styled-content> ratio (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) were higher, while <jats:styled-content style=\"fixed-case\">PlGF MoM<\/jats:styled-content> was lower (<jats:italic>P<\/jats:italic>\u2009=\u20090.004). In <jats:styled-content style=\"fixed-case\">SGA<\/jats:styled-content> fetuses with adverse perinatal outcome, <jats:styled-content style=\"fixed-case\">CPR<\/jats:styled-content> (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.002) and <jats:styled-content style=\"fixed-case\">PlGF MoM<\/jats:styled-content> (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) were lower, and <jats:styled-content style=\"fixed-case\">sFlt<\/jats:styled-content>\u20101\/<jats:styled-content style=\"fixed-case\">PlGF MoM<\/jats:styled-content> ratio was higher (<jats:italic>P<\/jats:italic>\u2009=\u20090.001). For predicting pre\u2010eclampsia, the areas under the receiver\u2013operating characteristics (<jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>) curves for mean <jats:styled-content style=\"fixed-case\">UtA\u2010PI<\/jats:styled-content>, <jats:styled-content style=\"fixed-case\">sFlt<\/jats:styled-content>\u20101 <jats:styled-content style=\"fixed-case\">MoM<\/jats:styled-content> and the combination of both were 0.852, 0.839 and 0.860, respectively. For adverse perinatal outcome, the areas under the <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content> curves for <jats:styled-content style=\"fixed-case\">CPR<\/jats:styled-content>, <jats:styled-content style=\"fixed-case\">PlGF MoM<\/jats:styled-content> and the combination of both were 0.652, 0.656 and 0.684, respectively. The combination of Doppler indices and angiogenic factors did not significantly improve prediction of either pre\u2010eclampsia (<jats:italic>P<\/jats:italic>\u2009=\u20090.851) or adverse outcome (<jats:italic>P<\/jats:italic>\u2009=\u20090.579).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>In <jats:styled-content style=\"fixed-case\">SGA<\/jats:styled-content> fetuses, angiogenic factors at diagnosis and follow\u2010up with Doppler ultrasound both predict adverse outcome with a similar performance. Copyright \u00a9 2013 ISUOG. Published by John Wiley &amp; Sons Ltd.<\/jats:p><\/jats:sec>","DOI":"10.1002\/uog.13246","type":"journal-article","created":{"date-parts":[[2013,11,7]],"date-time":"2013-11-07T02:58:40Z","timestamp":1383793120000},"page":"533-540","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":66,"title":["Angiogenic factors <i>vs<\/i> Doppler surveillance in the prediction of adverse outcome among late\u2010pregnancy small\u2010for\u2010 gestational\u2010age fetuses"],"prefix":"10.1002","volume":"43","author":[{"given":"S. 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