{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T17:55:51Z","timestamp":1782755751429,"version":"3.54.5"},"reference-count":30,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T00:00:00Z","timestamp":1583107200000},"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":["Aust NZ J Obst Gynaeco"],"published-print":{"date-parts":[[2020,10]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Competing risk models used for midpregnancy prediction of preterm pre\u2010eclampsia have shown detection rates (DR) of 85%, at fixed false\u2010positive rate (FPR) of 10%. The full algorithm used between 19<jats:sup>+0<\/jats:sup> and 24<jats:sup>+6<\/jats:sup>\u00a0weeks includes maternal factors, mean arterial pressure (MAP), mean uterine artery pulsatility index (UtAPI), serum placental growth factor (PlGF) level in multiples of the median (MoM), and soluble Fms\u2010like tyrosine kinase\u20101 (sFlt\u20101) level in MoM.<\/jats:p><\/jats:sec><jats:sec><jats:title>Aims<\/jats:title><jats:p>To assess performance of the Fetal Medicine Foundation (FMF) algorithm at midpregnancy to screen for preterm (&lt;37\u00a0weeks) pre\u2010eclampsia. The outcome measured was preterm pre\u2010eclampsia.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>This is a prospective study including singleton pregnancies at 19\u201322\u00a0weeks gestation. Maternal bloods were collected and analysed using three different immunoassay platforms. Maternal characteristics, medical history, MAP, mean UtAPI, serum PlGF MoM and serum sFlt\u20101 MoM were used for risk assessment. DR and FPR were calculated, and receiver operating characteristic curves produced.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Five hundred and twelve patients were included. Incidence of preterm pre\u2010eclampsia was 1.6%. Using predicted risk of pre\u2010eclampsia of one in 60 or more and one in 100 or higher, as given by the FMF predictive algorithm, the combination with the best predictive performance for preterm pre\u2010eclampsia included maternal factors, MAP, UtAPI and PlGF MoM, giving DRs of 100% and 100%, respectively, and FPRs of 9.3 for all platforms and 12.9\u201313.5, respectively. Addition of sFlt\u20101 to the algorithm did not appear to improve performance. sFlt\u20101 MoM and PlGF MoM values obtained on the different platforms performed very similarly.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Second trimester combined screening for preterm pre\u2010eclampsia by maternal history, MAP, mean UtAPI and PlGF MoM using the FMF algorithm performed very well in this patient population.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ajo.13113","type":"journal-article","created":{"date-parts":[[2020,3,3]],"date-time":"2020-03-03T02:03:05Z","timestamp":1583200985000},"page":"675-682","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Prediction of preterm pre\u2010eclampsia at midpregnancy using a multivariable screening algorithm"],"prefix":"10.1111","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1541-106X","authenticated-orcid":false,"given":"Carin","family":"Black","sequence":"first","affiliation":[{"name":"Pregnancy Research Centre Department of Maternal\u2010Fetal Medicine Royal Women's Hospital Melbourne Victoria Australia"},{"name":"Department of Obstetrics and Gynaecology The Royal Women's Hospital The University of Melbourne Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2263-3592","authenticated-orcid":false,"given":"Daniel Lorber","family":"Rolnik","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology Monash University Melbourne Victoria Australia"},{"name":"Perinatal Services Monash Medical Centre Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed","family":"Al\u2010Amin","sequence":"additional","affiliation":[{"name":"Pauline Gandel Imaging Centre Royal Women's Hospital Melbourne Victoria Australia"},{"name":"Monash Ultrasound for Women Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5172-3263","authenticated-orcid":false,"given":"Stefan C.","family":"Kane","sequence":"additional","affiliation":[{"name":"Pregnancy Research Centre Department of Maternal\u2010Fetal Medicine Royal Women's Hospital Melbourne Victoria Australia"},{"name":"Department of Obstetrics and Gynaecology The Royal Women's Hospital The University of Melbourne Melbourne Victoria Australia"},{"name":"Pauline Gandel Imaging Centre Royal Women's Hospital Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caroline","family":"Stolarek","sequence":"additional","affiliation":[{"name":"Pregnancy Research Centre Department of Maternal\u2010Fetal Medicine Royal Women's Hospital Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrienne","family":"White","sequence":"additional","affiliation":[{"name":"Pregnancy Research Centre Department of Maternal\u2010Fetal Medicine Royal Women's Hospital Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabricio","family":"Da Silva Costa","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology Monash University Melbourne Victoria Australia"},{"name":"Department of Gynecology and Obstetrics Ribeir\u00e3o Preto Medical School University of S\u00e3o Paulo Ribeir\u00e3o Preto, S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaun","family":"Brennecke","sequence":"additional","affiliation":[{"name":"Pregnancy Research Centre Department of Maternal\u2010Fetal Medicine Royal Women's Hospital Melbourne Victoria Australia"},{"name":"Department of Obstetrics and Gynaecology The Royal Women's Hospital The University of Melbourne Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,3,2]]},"reference":[{"key":"e_1_2_5_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2013.08.034"},{"key":"e_1_2_5_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(06)68397-9"},{"key":"e_1_2_5_4_1","doi-asserted-by":"publisher","DOI":"10.1159\/000336662"},{"key":"e_1_2_5_5_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1704559"},{"key":"e_1_2_5_6_1","unstructured":"Australian Institute of Health and Welfare.Australia's mothers and babies 2016 \u2010 in brief. 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