{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T10:48:34Z","timestamp":1791888514924,"version":"4.3.4"},"reference-count":21,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2016,1,5]],"date-time":"2016-01-05T00:00:00Z","timestamp":1451952000000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ultrasound in Obstet &amp; Gyne"],"published-print":{"date-parts":[[2016,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To develop a predictive tool for spontaneous preterm birth (<jats:styled-content style=\"fixed-case\">sPTB<\/jats:styled-content>) in asymptomatic high\u2010risk women that includes quantification of fetal fibronectin (<jats:styled-content style=\"fixed-case\">fFN<\/jats:styled-content>) along with cervical length (<jats:styled-content style=\"fixed-case\">CL<\/jats:styled-content>) measurement and other clinical factors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Data were analyzed that had been collected  prospectively from 1249 women at high risk for <jats:styled-content style=\"fixed-case\">sPTB<\/jats:styled-content> attending preterm surveillance clinics. Clinicians were blinded to quantitative measurements of <jats:styled-content style=\"fixed-case\">fFN<\/jats:styled-content> (<jats:styled-content style=\"fixed-case\">qfFN<\/jats:styled-content>), although they were aware of qualitative <jats:styled-content style=\"fixed-case\">fFN<\/jats:styled-content> results. Parametric survival models for <jats:styled-content style=\"fixed-case\">sPTB<\/jats:styled-content>, with time\u2010updated covariates, were developed and the best was selected using the Akaike and Bayesian information criteria. The model was developed on the first 624 consecutive women and validated on the subsequent 625. Fractional polynomials were used to accommodate possible non\u2010linear effects of <jats:styled-content style=\"fixed-case\">qfFN<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">CL<\/jats:styled-content>. The estimated probability of delivery before 30, 34 or 37\u2009weeks' gestation and within 2 or 4 weeks of testing was calculated for each patient and analyzed as a predictive test for the actual occurrence of each event. Predictive statistics were calculated to compare training and validation sets.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The final model that was selected used a log\u2010normal survival curve with <jats:styled-content style=\"fixed-case\">CL<\/jats:styled-content>, \u221a<jats:styled-content style=\"fixed-case\">qfFN<\/jats:styled-content> and previous <jats:styled-content style=\"fixed-case\">sPTB<\/jats:styled-content>\/preterm prelabor rupture of membranes as predictors. Predictive statistics were similar for training and validation sets. Areas under the receiver\u2013operating characteristics curves ranged from 0.77 to 0.99, indicating accurate prediction across all five delivery outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p><jats:styled-content style=\"fixed-case\">sPTB<\/jats:styled-content> in high\u2010risk asymptomatic women can be predicted accurately  using a model combining <jats:styled-content style=\"fixed-case\">qfFN<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">CL<\/jats:styled-content>, which supersedes the single\u2010threshold <jats:styled-content style=\"fixed-case\">fFN<\/jats:styled-content> test, demographic information and obstetric history. This algorithm has been incorporated into an App (QUiPP) for widespread use. Copyright \u00a9 2015 ISUOG. Published by John Wiley &amp; Sons Ltd.<\/jats:p><\/jats:sec>","DOI":"10.1002\/uog.14865","type":"journal-article","created":{"date-parts":[[2015,4,2]],"date-time":"2015-04-02T22:17:51Z","timestamp":1428013071000},"page":"104-109","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":70,"title":["Development and validation of a tool incorporating cervical length and quantitative fetal fibronectin  to predict spontaneous preterm birth in asymptomatic high\u2010risk women"],"prefix":"10.1002","volume":"47","author":[{"given":"K.","family":"Kuhrt","sequence":"first","affiliation":[{"name":"Woman's Health Academic Centre Kings College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E.","family":"Smout","sequence":"additional","affiliation":[{"name":"Woman's Health Academic Centre Kings College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N.","family":"Hezelgrave","sequence":"additional","affiliation":[{"name":"Woman's Health Academic Centre Kings College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P. 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