{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T13:35:02Z","timestamp":1788183302316,"version":"build-2803163510"},"reference-count":32,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T00:00:00Z","timestamp":1750464000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T00:00:00Z","timestamp":1750464000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003123","name":"Fetal Medicine Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003123","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":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To examine the contribution of maternal demographic characteristics and elements of medical history to the prediction of prolonged (&gt;\u20092\u2009days) neonatal intensive care unit (NICU) admission for high\u2010dependency or intensive care, and to investigate the added value to such prediction of the findings from the 36\u2010week ultrasound scan and data from labor and delivery.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We included 107\u2009762 women with a singleton pregnancy who had undergone a routine ultrasound examination at 35\u2009+\u20090 to 36\u2009+\u20096\u2009weeks' gestation. Assessment included medical history, estimated fetal weight (EFW), and Doppler measurements of uterine artery (UtA) pulsatility index (PI), umbilical artery (UA) PI and fetal middle cerebral artery (MCA) PI. Multivariable logistic regression was used to evaluate the independent contributions to prolonged NICU admission of maternal factors (demographic and pregnancy characteristics), findings from the 36\u2010week scan, and data from labor and delivery. Detection rates (DRs) and areas under the receiver\u2010operating\u2010characteristics curve (AUCs) for prolonged NICU admission were compared.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Overall, 946 (0.88%) neonates required prolonged NICU admission. The maternal factors that significantly contributed to prediction of prolonged NICU admission were body mass index, social deprivation, conception via\n                      <jats:italic>in\u2010vitro<\/jats:italic>\n                      fertilization, chronic hypertension, Type\u20101 diabetes mellitus, pre\u2010eclampsia and gestational diabetes mellitus. Screening by maternal factors provided a DR of 20.7% at a false\u2010positive rate (FPR) of 10% (AUC, 0.606 (95%\u2009CI, 0.587\u20130.625)). Significant predictors from the 36\u2010week scan included deepest vertical pocket of amniotic fluid &lt;\u20092\u2009cm and \u2265\u20098\u2009cm, UA\u2010PI &gt;95\n                      <jats:sup>th<\/jats:sup>\n                      \u2009percentile and MCA\u2010PI &lt;\u20095\n                      <jats:sup>th<\/jats:sup>\n                      \u2009percentile. Screening by a combination of maternal factors and 36\u2010week scan findings improved the DR at a 10% FPR to 27.5% (AUC, 0.637 (95%\u2009CI, 0.618\u20130.656)). When maternal factors, 36\u2010week scan findings, and data from labor and delivery (lower gestational age at delivery, delivery by Cesarean section  and birth weight &lt;\u200910\n                      <jats:sup>th<\/jats:sup>\n                      and &gt;\u200990\n                      <jats:sup>th<\/jats:sup>\n                      \u2009percentile) were included in the model, the DR at a 10% FPR improved to 39.1% (AUC, 0.709 (95%\u2009CI, 0.690\u20130.728)). When this combined model was restricted to prediction of prolonged NICU admission for indications that excluded those affected by intrapartum events, the DR at a 10% FPR was 57.2%  (AUC, 0.790 (95%\u2009CI, 0.764\u20130.815)).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Maternal factors (particularly social deprivation), 36\u2010week scan findings, and data from labor and delivery each make an independent contribution to the risk of prolonged NICU admission at term. Nevertheless, more than 40% of these admissions are not predictable prior to labor and birth. \u00a9 2025 The Author(s).\n                      <jats:italic>Ultrasound in Obstetrics &amp; Gynecology<\/jats:italic>\n                      published by John Wiley &amp; Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/uog.29267","type":"journal-article","created":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T03:44:48Z","timestamp":1750477488000},"page":"298-306","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Routine 36\u2010week scan: prediction of prolonged neonatal intensive care unit admission"],"prefix":"10.1002","volume":"66","author":[{"given":"A.","family":"Arechvo","sequence":"first","affiliation":[{"name":"Fetal Medicine Research Institute, King's College Hospital  London UK"},{"name":"Institute of Women and Children's Health, School of Life Course and Population Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8554-571X","authenticated-orcid":false,"given":"E.","family":"Demertzidou","sequence":"additional","affiliation":[{"name":"Fetal Medicine Unit, Medway Maritime Hospital, Gillingham  UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Adjahou","sequence":"additional","affiliation":[{"name":"Fetal Medicine Research Institute, King's College Hospital  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5856-6072","authenticated-orcid":false,"given":"A.","family":"Syngelaki","sequence":"additional","affiliation":[{"name":"Fetal Medicine Research Institute, King's College Hospital  London UK"},{"name":"Institute of Women and Children's Health, School of Life Course and Population Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1355-610X","authenticated-orcid":false,"given":"L. A.","family":"Magee","sequence":"additional","affiliation":[{"name":"Institute of Women and Children's Health, School of Life Course and Population Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.","family":"von Dadelszen","sequence":"additional","affiliation":[{"name":"Institute of Women and Children's Health, School of Life Course and Population Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1266-0711","authenticated-orcid":false,"given":"K. H.","family":"Nicolaides","sequence":"additional","affiliation":[{"name":"Fetal Medicine Research Institute, King's College Hospital  London UK"},{"name":"Institute of Women and Children's Health, School of Life Course and Population Sciences, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7265-5442","authenticated-orcid":false,"given":"R.","family":"Akolekar","sequence":"additional","affiliation":[{"name":"Fetal Medicine Unit, Medway Maritime Hospital, Gillingham  UK"},{"name":"Institute of Medical Sciences Canterbury Christ Church University  Chatham UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,6,21]]},"reference":[{"key":"e_1_2_7_2_1","unstructured":"NHS England.Neonatal critical care\u2009\u2013\u2009service specification.2024. Accessed March 1 2025.https:\/\/www.england.nhs.uk\/wp\u2010content\/uploads\/2015\/01\/Neonatal\u2010critical\u2010care\u2010service\u2010specification\u2010March\u20102024.pdf"},{"key":"e_1_2_7_3_1","unstructured":"Neonatal Data Analysis Unit.\u2018Survival\u2019 in neonatal data visualisations. Accessed December 29 2024.https:\/\/www.imperial.ac.uk\/neonatal\u2010data\u2010analysis\u2010unit\/neonatal\u2010data\u2010analysis\u2010unit\/nnrd\u2010data\u2010visualisations\/"},{"key":"e_1_2_7_4_1","unstructured":"NHS improvement.Reducing harm leading to avoidable admission of full\u2010term babies into neonatal units.2017. Accessed March 1 2025. 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