{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T14:31:12Z","timestamp":1793370672660,"version":"4.5.0"},"reference-count":20,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2019,3,28]],"date-time":"2019-03-28T00:00:00Z","timestamp":1553731200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["G1100221"],"award-info":[{"award-number":["G1100221"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006775","name":"GE Healthcare","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006775","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJOG"],"published-print":{"date-parts":[[2019,7]]},"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>(1) To derive a simple risk score for preterm pre\u2010eclampsia based on the model used in the <jats:styled-content style=\"fixed-case\">ASPRE<\/jats:styled-content> trial, and (2) to compare it (i) with the original <jats:styled-content style=\"fixed-case\">ASPRE<\/jats:styled-content> algorithm, (ii) with the <jats:styled-content style=\"fixed-case\">NICE<\/jats:styled-content> Guideline score, and (iii) with and without biochemical and ultrasonic predictors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Design<\/jats:title><jats:p>Prospective cohort study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Setting<\/jats:title><jats:p>Cambridge, <jats:styled-content style=\"fixed-case\">UK<\/jats:styled-content>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population or Sample<\/jats:title><jats:p>4184 nulliparous women from the Pregnancy Outcome Prediction study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Maternal history model coefficients from the <jats:styled-content style=\"fixed-case\">ASPRE<\/jats:styled-content> algorithm were translated into a risk score, preserving the relative weight of each coefficient.<\/jats:p><\/jats:sec><jats:sec><jats:title>Main outcome measures<\/jats:title><jats:p>Preterm delivery with a diagnosis of pre\u2010eclampsia.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The area under the <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content> curve (<jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>) for preterm pre\u2010eclampsia was 0.846 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 0.787\u20130.906) for the risk score and 0.854 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 0.795\u20130.914) for the original <jats:styled-content style=\"fixed-case\">ASPRE<\/jats:styled-content> algorithm (<jats:italic>P<\/jats:italic>\u00a0=\u00a00.14). In all, 9.1% of women had a risk score of \u226530 and their risk ratio for preterm pre\u2010eclampsia was 13.3 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 6.3\u201327.8), sensitivity 57.1% (37.5\u201374.8%), false\u2010positive rate (1\u2010specificity) 8.8% (8.0\u20139.7%), and <jats:styled-content style=\"fixed-case\">LR<\/jats:styled-content><jats:sup>+<\/jats:sup> 6.5 (4.6\u20139.1). The score had higher specificity than the <jats:styled-content style=\"fixed-case\">NICE<\/jats:styled-content> Guideline criteria. First trimester levels of <jats:styled-content style=\"fixed-case\">PAPP<\/jats:styled-content>\u2010A and Pl<jats:styled-content style=\"fixed-case\">GF<\/jats:styled-content> were not predictive when included in a model with the risk score. In contrast, mean arterial pressure at booking and 20\u2010week uterine artery Doppler were independently associated with preterm pre\u2010eclampsia and the latter modestly increased the <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content> (by ~0.02).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>A simple risk score derived from the <jats:styled-content style=\"fixed-case\">ASPRE<\/jats:styled-content> screening study predictive model provided clinically useful prediction of the risk of preterm pre\u2010eclampsia.<\/jats:p><\/jats:sec><jats:sec><jats:title>Tweetable abstract<\/jats:title><jats:p>A simple risk score derived from the <jats:styled-content style=\"fixed-case\">ASPRE<\/jats:styled-content> screening study provided clinically useful prediction of the risk of preterm pre\u2010eclampsia.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1471-0528.15664","type":"journal-article","created":{"date-parts":[[2019,2,26]],"date-time":"2019-02-26T02:21:05Z","timestamp":1551147665000},"page":"963-970","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Evaluation of a simple risk score to predict preterm pre\u2010eclampsia using maternal characteristics: a prospective cohort study"],"prefix":"10.1111","volume":"126","author":[{"given":"U","family":"Sovio","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynaecology University of Cambridge Cambridge UK"},{"name":"NIHR Cambridge Biomedical Research Centre Cambridge UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"GCS","family":"Smith","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology University of Cambridge Cambridge UK"},{"name":"NIHR Cambridge Biomedical Research Centre Cambridge UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,3,28]]},"reference":[{"key":"e_1_2_11_2_1","volume-title":"NICE Guideline: Hypertension in Pregnancy","author":"National Collaborating Centre for Women's and Children's Health","year":"2011"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/dyx235"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.18899"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1704559"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.18816"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1159\/000338470"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.17455"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.19039"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2015.02.018"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2393-8-51"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(15)00131-2"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.placenta.2016.10.011"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.AOG.0000437382.03963.88"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1161\/HYPERTENSIONAHA.116.08620"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2352-4642(18)30129-9"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/0895-4356(91)90128-V"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1093\/jssam\/smv024"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwu140"},{"key":"e_1_2_11_20_1","article-title":"Sample size for binary logistic prediction models: beyond events per variable criteria","author":"Smeden M","journal-title":"Stat Methods Med Res"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.1159\/000335366"}],"container-title":["BJOG: An International Journal of Obstetrics &amp; 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