{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T23:51:09Z","timestamp":1778802669379,"version":"3.51.4"},"reference-count":21,"publisher":"Georg Thieme Verlag KG","issue":"14","funder":[{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"crossref","award":["200702MCT-171307-RFA-CFCF-153236"],"award-info":[{"award-number":["200702MCT-171307-RFA-CFCF-153236"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"crossref","award":["MOP 81275"],"award-info":[{"award-number":["MOP 81275"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Jeanne et Jean-Louis L\u00e9vesque Perinatal Research Chair at Universit\u00e9 Laval"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Am J Perinatol"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:p>\n            Objective\u2003This study aimed to compare the predictive values of the American College of Obstetricians and Gynecologists (ACOG), the National Institute for Health and Care Excellence (NICE), and the Society of Obstetricians and Gynecologists of Canada (SOGC) factor-based models for preeclampsia (PE) screening.<\/jats:p><jats:p>\n            Study Design\u2003We conducted a secondary analysis of maternal and birth data from 32 hospitals. For each delivery, we calculated the risk of PE according to the ACOG, the NICE, and the SOGC models. Our primary outcomes were PE and preterm PE (PE combined with preterm birth) using the ACOG criteria. We calculated the detection rate (DR or sensitivity), the false positive rate (FPR or 1\u2009\u2212\u2009specificity), the positive (PPV) and negative (NPV) predictive values of each model for PE and for preterm PE using receiver operator characteristic (ROC) curves.<\/jats:p><jats:p>\n            Results\u2003We used 130,939 deliveries including 4,635 (3.5%) cases of PE and 823 (0.6%) cases of preterm PE. The ACOG model had a DR of 43.6% for PE and 50.3% for preterm PE with FPR of 15.6%; the NICE model had a DR of 36.2% for PE and 41.3% for preterm PE with FPR of 12.8%; and the SOGC model had a DR of 49.1% for PE and 51.6% for preterm PE with FPR of 22.2%. The PPV for PE of the ACOG (9.3%) and NICE (9.4%) models were both superior than the SOGC model (7.6%; p\u2009&lt;\u20090.001), with a similar trend for the PPV for preterm PE (1.9 vs. 1.9 vs. 1.4%, respectively; p\u2009&lt;\u20090.01). The area under the ROC curves suggested that the ACOG model is superior to the NICE for the prediction of PE and preterm PE and superior to the SOGC models for the prediction of preterm PE (all with p\u2009&lt;\u20090.001).<\/jats:p><jats:p>\n            Conclusion\u2003The current ACOG factor-based model for the prediction of PE and preterm PE, without considering race, is superior to the NICE and SOGC models.<\/jats:p><jats:p>\n            Key Points\n          <\/jats:p>","DOI":"10.1055\/s-0044-1782676","type":"journal-article","created":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T23:52:50Z","timestamp":1710546770000},"page":"1930-1935","source":"Crossref","is-referenced-by-count":6,"title":["Comparison of National Factor-Based Models for Preeclampsia Screening"],"prefix":"10.1055","volume":"41","author":[{"given":"Louise","family":"Ghesqui\u00e8re","sequence":"additional","affiliation":[{"name":"Reproduction, Mother and Child Health Unit, Research Center of the CHU de Qu\u00e9bec, Universit\u00e9 Laval, Qu\u00e9bec City, QC, Canada"},{"name":"Department of Obstetrics, Universit\u00e9 de Lille, CHU de Lille, Lille, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6936-4369","authenticated-orcid":false,"given":"Emmanuel","family":"Bujold","sequence":"additional","affiliation":[{"name":"Reproduction, Mother and Child Health Unit, Research Center of the CHU de Qu\u00e9bec, Universit\u00e9 Laval, Qu\u00e9bec City, QC, Canada"},{"name":"Department of Obstetrics, Gynecology and Reproduction, CHU de Qu\u00e9bec-Universit\u00e9 Laval, Qu\u00e9bec City, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"Dub\u00e9","sequence":"additional","affiliation":[{"name":"Reproduction, Mother and Child Health Unit, Research Center of the CHU de Qu\u00e9bec, Universit\u00e9 Laval, Qu\u00e9bec City, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nils","family":"Chaillet","sequence":"additional","affiliation":[{"name":"Reproduction, Mother and Child Health Unit, Research Center of the CHU de Qu\u00e9bec, Universit\u00e9 Laval, Qu\u00e9bec City, QC, Canada"},{"name":"Department of Obstetrics, Gynecology and Reproduction, CHU de Qu\u00e9bec-Universit\u00e9 Laval, Qu\u00e9bec City, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2024,3,15]]},"reference":[{"issue":"S 01","key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/ijgo.12802","article-title":"The International Federation of Gynecology and Obstetrics (FIGO) initiative on pre-eclampsia: A pragmatic guide for first-trimester screening and prevention","volume":"145","author":"L C Poon","year":"2019","journal-title":"Int J Gynaecol 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Report of the American College of Obstetricians and Gynecologists' Task Force on Hypertension in Pregnancy","volume":"122","author":"The American College of Obstetricians and Gynecologists","year":"2013","journal-title":"Obstet Gynecol"},{"issue":"05","key":"ref15","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1016\/j.jogc.2022.03.002","article-title":"Guideline No. 426: Hypertensive Disorders of Pregnancy: Diagnosis, Prediction, Prevention, and Management","volume":"44","author":"L A Magee","year":"2022","journal-title":"J Obstet Gynaecol Can"},{"issue":"18","key":"ref17","doi-asserted-by":"crossref","first-page":"1710","DOI":"10.1056\/NEJMoa1407120","article-title":"A cluster-randomized trial to reduce cesarean delivery rates in Quebec","volume":"372","author":"N Chaillet","year":"2015","journal-title":"N Engl J Med"},{"issue":"06","key":"ref18","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1002\/uog.17455","article-title":"Multicenter screening for pre-eclampsia by maternal factors and biomarkers at 11-13 weeks' gestation: comparison with NICE guidelines and ACOG recommendations","volume":"49","author":"N O'Gorman","year":"2017","journal-title":"Ultrasound Obstet Gynecol"},{"issue":"03","key":"ref19","doi-asserted-by":"crossref","first-page":"e25","DOI":"10.1097\/AOG.0000000000001049","article-title":"Committee Opinion No. 638: First-Trimester Risk Assessment for Early-Onset Preeclampsia","volume":"126","author":"The American College of Obstetricians and Gynecologists","year":"2015","journal-title":"Obstet Gynecol"},{"issue":"06","key":"ref20","doi-asserted-by":"crossref","first-page":"650.e1","DOI":"10.1016\/j.ajog.2019.09.041","article-title":"Prospective evaluation of screening performance of first-trimester prediction models for preterm preeclampsia in an Asian population","volume":"221","author":"P Chaemsaithong","year":"2019","journal-title":"Am J Obstet Gynecol"},{"issue":"01","key":"ref21","doi-asserted-by":"crossref","first-page":"62.e1","DOI":"10.1016\/j.ajog.2015.02.018","article-title":"Competing risks model in screening for preeclampsia by maternal characteristics and medical history","volume":"213","author":"D Wright","year":"2015","journal-title":"Am J Obstet Gynecol"},{"issue":"02","key":"ref22","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1111\/ajo.12689","article-title":"Accuracy of second trimester prediction of preterm preeclampsia by three different screening algorithms","volume":"58","author":"A Al-Amin","year":"2018","journal-title":"Aust N Z J Obstet Gynaecol"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.preghy.2017.07.146","article-title":"Comparison of three algorithms for prediction preeclampsia in the first trimester of pregnancy","volume":"10","author":"R S Rocha","year":"2017","journal-title":"Pregnancy Hypertens"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.ejogrb.2018.08.587","article-title":"Assessment of NICE and USPSTF guidelines for identifying women at high risk of pre-eclampsia for tailoring aspirin prophylaxis in pregnancy: An individual participant data meta-analysis","volume":"229","author":"Z TA Al-Rubaie","year":"2018","journal-title":"Eur J Obstet Gynecol Reprod Biol"}],"container-title":["American Journal of Perinatology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/s-0044-1782676.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T12:33:58Z","timestamp":1730810038000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/s-0044-1782676"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,15]]},"references-count":21,"journal-issue":{"issue":"14","published-online":{"date-parts":[[2024,9,27]]},"published-print":{"date-parts":[[2024,10]]}},"URL":"https:\/\/doi.org\/10.1055\/s-0044-1782676","archive":["Portico","CLOCKSS"],"relation":{},"ISSN":["0735-1631","1098-8785"],"issn-type":[{"value":"0735-1631","type":"print"},{"value":"1098-8785","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,15]]}}}