{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T15:49:26Z","timestamp":1791388166264,"version":"4.3.3"},"reference-count":33,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T00:00:00Z","timestamp":1717632000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["PI18\/01749"],"award-info":[{"award-number":["PI18\/01749"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007406","name":"Fundaci\u00f3n BBVA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007406","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":[[2024,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To compare the predictive performance of three different mathematical models for first\u2010trimester screening of pre\u2010eclampsia (PE), which combine maternal risk factors with mean arterial pressure (MAP), uterine artery pulsatility index (UtA\u2010PI) and serum placental growth factor (PlGF), and two risk\u2010scoring systems.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This was a prospective cohort study performed in eight fetal medicine units in five different regions of Spain between September 2017 and December 2019. All pregnant women with singleton pregnancy and a non\u2010malformed live fetus attending their routine ultrasound examination at 11\u2009+\u20090 to 13\u2009+\u20096\u2009weeks' gestation were invited to participate in the study. Maternal characteristics and medical history were recorded and measurements of MAP, UtA\u2010PI, serum PlGF and pregnancy\u2010associated plasma protein\u2010A (PAPP\u2010A) were converted into multiples of the median (MoM). Risks for term PE, preterm PE (&lt;\u200937\u2009weeks' gestation) and early PE (&lt;\u200934\u2009weeks' gestation) were calculated according to the FMF competing\u2010risks model, the Crovetto\n                      <jats:italic>et\u2009al<\/jats:italic>\n                      . logistic regression model and the Serra\n                      <jats:italic>et\u2009al<\/jats:italic>\n                      . Gaussian model. PE classification was also performed based on the recommendations of the National Institute for Health and Care Excellence (NICE) and the American College of Obstetricians and Gynecologists (ACOG). We estimated detection rates (DR) with their 95%\u2009CIs at a fixed 10% screen\u2010positive rate (SPR), as well as the area under the receiver\u2010operating\u2010characteristics curve (AUC) for preterm PE, early PE and all PE for the three mathematical models. For the scoring systems, we calculated DR and SPR. Risk calibration was also assessed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The study population comprised 10\u2009110 singleton pregnancies, including 32 (0.3%) that developed early PE, 72 (0.7%) that developed preterm PE and 230 (2.3%) with any PE. At a fixed 10% SPR, the FMF, Crovetto\n                      <jats:italic>et\u2009al<\/jats:italic>\n                      . and Serra\n                      <jats:italic>et\u2009al.<\/jats:italic>\n                      models detected 82.7% (95%\u2009CI, 69.6\u201395.8%), 73.8% (95%\u2009CI, 58.7\u201388.9%) and 79.8% (95%\u2009CI, 66.1\u201393.5%) of early PE; 72.7% (95%\u2009CI, 62.9\u201382.6%), 69.2% (95%\u2009CI, 58.8\u201379.6%) and 74.1% (95%\u2009CI, 64.2\u201383.9%) of preterm PE; and 55.1% (95%\u2009CI, 48.8\u201361.4%), 47.1% (95%\u2009CI, 40.6\u201353.5%) and 53.9% (95%\u2009CI, 47.4\u201360.4%) of all PE, respectively. The best correlation between predicted and observed cases was achieved by the FMF model, with an AUC of 0.911 (95%\u2009CI, 0.879\u20130.943), a slope of 0.983 (95%\u2009CI, 0.846\u20131.120) and an intercept of 0.154 (95%\u2009CI, \u20130.091 to 0.397). The NICE criteria identified 46.7% (95%\u2009CI, 35.3\u201358.0%) of preterm PE at 11% SPR and ACOG criteria identified 65.9% (95%\u2009CI, 55.4\u201376.4%) of preterm PE at 33.8% SPR.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The best performance of screening for preterm PE is achieved by mathematical models that combine maternal factors with MAP, UtA\u2010PI and PlGF, as compared to risk\u2010scoring systems such as those of NICE and ACOG. While all three algorithms show similar results in terms of overall prediction, the FMF model showed the best performance at an individual level. \u00a9 2024 International Society of Ultrasound in Obstetrics and Gynecology.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/uog.27622","type":"journal-article","created":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T08:09:18Z","timestamp":1709021358000},"page":"57-64","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Comparison of different methods of first\u2010trimester screening for preterm pre\u2010eclampsia: cohort study"],"prefix":"10.1002","volume":"64","author":[{"given":"D.","family":"Cuenca\u2010G\u00f3mez","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology Hospital Universitario de Torrej\u00f3n, Torrej\u00f3n de Ardoz  Madrid Spain"},{"name":"Faculty of Medicine Universidad Francisco de Vitoria, Pozuelo de Alarc\u00f3n  Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0117-6388","authenticated-orcid":false,"given":"C.","family":"De Paco Matallana","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Hospital Cl\u00ednico Universitario Virgen de la Arrixaca, El Palmar  Murcia Spain"},{"name":"Institute for Biomedical Research of Murcia IMIB\u2010Arrixaca, El Palmar  Murcia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1793-7049","authenticated-orcid":false,"given":"V.","family":"Rolle","sequence":"additional","affiliation":[{"name":"Biostatistics and Clinical Research Unit Hospital Universitario de Torrej\u00f3n, Torrej\u00f3n de Ardoz  Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3030-3833","authenticated-orcid":false,"given":"M.","family":"Mendoza","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Hospital Universitari Vall d'Hebr\u00f3n  Barcelona Catalonia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5711-498X","authenticated-orcid":false,"given":"N.","family":"Vali\u00f1o","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Complejo Hospitalario Universitario A Coru\u00f1a  A Coru\u00f1a Galicia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.","family":"Revello","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Hospital Universitario Quir\u00f3n, Pozuelo de Alarc\u00f3n  Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8582-1814","authenticated-orcid":false,"given":"B.","family":"Adiego","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Hospital Universitario Fundaci\u00f3n de Alcorc\u00f3n, Alcorc\u00f3n  Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2268-4450","authenticated-orcid":false,"given":"M. C.","family":"Casanova","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Hospital Universitario de Torrej\u00f3n, Torrej\u00f3n de Ardoz  Madrid Spain"},{"name":"Faculty of Medicine Universidad Francisco de Vitoria, Pozuelo de Alarc\u00f3n  Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9190-5654","authenticated-orcid":false,"given":"F. S.","family":"Molina","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Hospital Universitario San Cecilio  Granada Spain"},{"name":"Instituto de Investigaci\u00f3n Biosanitaria Ibs  Granada Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1687-0222","authenticated-orcid":false,"given":"J. L.","family":"Delgado","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Hospital Cl\u00ednico Universitario Virgen de la Arrixaca, El Palmar  Murcia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Wright","sequence":"additional","affiliation":[{"name":"Institute of Health Research University of Exeter  Exeter UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4403-1274","authenticated-orcid":false,"given":"F.","family":"Figueras","sequence":"additional","affiliation":[{"name":"BCNatal\u2010Barcelona Center for Maternal\u2010Fetal and Neonatal Medicine Hospital Cl\u00ednic and Hospital San Joan de Deu  Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3515-7684","authenticated-orcid":false,"given":"K. 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