{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T04:13:26Z","timestamp":1793765606711,"version":"4.6.1"},"reference-count":36,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T00:00:00Z","timestamp":1583107200000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100000659","name":"Research Trainees Coordinating Centre","doi-asserted-by":"publisher","award":["CDRF\u20102013\u201004\u2010026"],"award-info":[{"award-number":["CDRF\u20102013\u201004\u2010026"]}],"id":[{"id":"10.13039\/501100000659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ultrasound in Obstet &amp; Gyne"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To develop enhanced prediction models to update the QUiPP App prototype, a tool providing individualized risk of spontaneous preterm birth (sPTB), for use in women with symptoms of threatened preterm labor (TPTL), incorporating risk factors, transvaginal ultrasound assessment of cervical length (CL) and cervicovaginal fluid quantitative fetal fibronectin (qfFN) test results.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Participants were pregnant women between 23\u2009+\u20090 and 34\u2009+\u20096\u2009weeks' gestation with symptoms of TPTL, recruited as part of four prospective cohort studies carried out at 16 UK hospitals between October 2010 and October 2017. The training set comprised all women whose outcomes were known in May 2017 (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20091032). The validation set comprised women whose outcomes were gathered between June 2017 and March 2018 (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009506). Parametric survival models were developed for three combinations of predictors: risk factors plus qfFN test results alone, risk factors plus CL alone, and risk factors plus both qfFN and CL. The best models were selected using the Akaike and Bayesian information criteria. The estimated probability of sPTB &lt;\u200930, &lt;\u200934 or &lt;\u200937\u2009weeks' gestation and within 1 or 2\u2009weeks of testing was calculated and receiver\u2010operating\u2010characteristics (ROC) curves were created to demonstrate the diagnostic ability of the prediction models.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Predictive statistics were similar between the training and the validation sets at most outcome time points and for each combination of predictors. Areas under the ROC curves (AUC) demonstrated that all three algorithms had good accuracy for the prediction of sPTB at &lt;\u200930, &lt;\u200934 and &lt;\u200937\u2009weeks' gestation and within 1 and 2\u2009weeks' post\u2010testing in the validation set, particularly the model combining risk factors plus qfFN alone (AUC: 0.96 at &lt;\u200930\u2009weeks; 0.85 at &lt;\u200934\u2009weeks; 0.77 at &lt;\u200937\u2009weeks; 0.91 at &lt;\u20091\u2009week from testing; and 0.92 at &lt;\u20092\u2009weeks from testing).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Validation of the new prediction models suggests that the QUiPP App v.2 can reliably calculate risk of sPTB in women with TPTL. Use of the QUiPP App in practice could lead to better targeting of intervention, while providing reassurance and avoiding unnecessary intervention in women at low risk. Copyright \u00a9 2019 ISUOG. Published by John Wiley &amp; Sons Ltd.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/uog.20422","type":"journal-article","created":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T03:29:31Z","timestamp":1565062171000},"page":"357-367","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Development and validation of predictive models for QUiPP App v.2: tool for predicting preterm birth in women with symptoms of threatened preterm labor"],"prefix":"10.1002","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2550-6465","authenticated-orcid":false,"given":"J.","family":"Carter","sequence":"first","affiliation":[{"name":"Department of Women and Children's Health School of Life Course Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P. T.","family":"Seed","sequence":"additional","affiliation":[{"name":"Department of Women and Children's Health School of Life Course Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6332-1907","authenticated-orcid":false,"given":"H. A.","family":"Watson","sequence":"additional","affiliation":[{"name":"Department of Women and Children's Health School of Life Course Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. L.","family":"David","sequence":"additional","affiliation":[{"name":"Institute for Women's Health, University College London  London UK"},{"name":"National Institute for Health Research, University College London Hospitals, Biomedical Research Centre  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Sandall","sequence":"additional","affiliation":[{"name":"Department of Women and Children's Health School of Life Course Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. H.","family":"Shennan","sequence":"additional","affiliation":[{"name":"Department of Women and Children's Health School of Life Course Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R. 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