{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:52:11Z","timestamp":1787017931899,"version":"build-2736575974"},"reference-count":32,"publisher":"S. Karger AG","issue":"8","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Fetal Diagn Ther"],"published-print":{"date-parts":[[2020]]},"abstract":"<b><i>Background:<\/i><\/b> Preterm prelabour rupture of membranes (PPRoM) is commonly associated with preterm delivery and affects up to 3% of all pregnancies. It is associated with high rates of morbidity and mortality for the mother and the newborn. <b><i>Objectives:<\/i><\/b> To identify risk factors for PPRoM and develop a model for first-trimester prediction of risk of PPRoM. <b><i>Methods:<\/i><\/b> A retrospective analysis of a series of women who had first-trimester (11\u201313<sup>+6<\/sup> weeks) screening for aneuploidy and pre-eclampsia and delivered in the same institution was performed. Univariate and multivariate logistic regression analyses were used to identify maternal and pregnancy factors and then develop a clinical prediction model for PPRoM. <b><i>Results:<\/i><\/b> 10,280 women were screened between April 2010 and October 2016. 144 (1.4%) had PPRoM. Maternal factors predictive of PPRoM included nulliparity (parous women, OR 0.53; 95% CI 0.4\u20130.8), pre-existing diabetes mellitus (DM) (Type 1 DM, OR 6.7; 95% CI 2.3\u201319.4, Type 2 DM, OR 5.3; 95% CI 1.6\u201318.3), maternal age group (<i>p<\/i> = 0.004), and BMI category (<i>p<\/i> = 0.012). Uterine artery pulsatility index (UAPI) and biochemical parameters (PAPP-A, free \u03b2HCG) did not reach statistical significance. The predictive model had moderate efficacy with an area under the ROC curve of 0.67. <b><i>Conclusions:<\/i><\/b> Several maternal characteristics collected during first-trimester screening predict PPRoM. Biomarkers currently measured during first-trimester screening (PAPP-A, \u03b2HCG, and UAPI) do not predict PPRoM. Whilst a predictive model can be generated with information currently collected at 11\u201313<sup>+6<\/sup> weeks, this has only modest screening performance. First-trimester screening provides a structured framework where other predictors could improve model performance, and future studies should focus on the addition of other risk factors and biomarkers that may improve screening efficacy.<\/jats:p>","DOI":"10.1159\/000506541","type":"journal-article","created":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T17:00:33Z","timestamp":1586365233000},"page":"624-629","source":"Crossref","is-referenced-by-count":18,"title":["First-Trimester Prediction of Preterm Prelabour Rupture of 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