{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T15:37:28Z","timestamp":1771861048983,"version":"3.50.1"},"reference-count":25,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2016,8,23]],"date-time":"2016-08-23T00:00:00Z","timestamp":1471910400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Paediatric Perinatal Epid"],"published-print":{"date-parts":[[2016,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Gestational age estimation by last menstrual period (<jats:styled-content style=\"fixed-case\">LMP<\/jats:styled-content>) vs. ultrasound (or best obstetric estimate in the <jats:styled-content style=\"fixed-case\">US<\/jats:styled-content>) may result in discrepant classification of preterm vs. term birth. We investigated whether such discrepancies are associated with adverse infant outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We studied singleton livebirths in the Medical Birth Registries of Norway, Sweden and Finland and <jats:styled-content style=\"fixed-case\">US<\/jats:styled-content> live birth certificates from 1999 to the most recent year available. Risk ratios (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>) with 95% confidence intervals (<jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>) by discordant and concordant gestational age estimation for infant, neonatal and post\u2010neonatal mortality, Apgar score &lt;4 and &lt;7 at 5 min, and neonatal intensive care unit (<jats:styled-content style=\"fixed-case\">NICU<\/jats:styled-content>) admission were estimated using generalised linear models, adjusting for maternal age, education, parity, year of birth, and infant sex. Results were presented stratified by country.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Compared to infants born at term by both methods, infants born preterm by ultrasound\/best obstetric estimate but term by <jats:styled-content style=\"fixed-case\">LMP<\/jats:styled-content> had higher infant mortality risks (range of adjusted <jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>s 3.9 to 7.2) and modestly higher risks were obtained among infants born preterm by <jats:styled-content style=\"fixed-case\">LMP<\/jats:styled-content> but term by ultrasound\/best obstetric estimate (range of adjusted <jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>s 1.6 to 1.9). Risk estimates for the other outcomes showed the same pattern. These findings were consistent across all four countries.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Infants classified as preterm by ultrasound\/best estimate, but term by <jats:styled-content style=\"fixed-case\">LMP<\/jats:styled-content> have consistently higher risks of adverse outcomes than those classified as preterm by <jats:styled-content style=\"fixed-case\">LMP<\/jats:styled-content> but term by ultrasound\/best estimate. Compared with ultrasound\/best estimate, use of <jats:styled-content style=\"fixed-case\">LMP<\/jats:styled-content> overestimates the proportion of births that are preterm.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ppe.12311","type":"journal-article","created":{"date-parts":[[2016,8,24]],"date-time":"2016-08-24T01:32:38Z","timestamp":1472002358000},"page":"541-549","source":"Crossref","is-referenced-by-count":13,"title":["Adverse Infant Outcomes Associated with Discordant Gestational Age Estimates"],"prefix":"10.1111","volume":"30","author":[{"given":"Nils\u2010Halvdan","family":"Morken","sequence":"first","affiliation":[{"name":"Departments of Global Public Health and Primary Care University of Bergen Bergen Norway"},{"name":"Departments of Clinical Science University of Bergen Bergen Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rolv","family":"Skj\u00e6rven","sequence":"additional","affiliation":[{"name":"Departments of Global Public Health and Primary Care University of Bergen Bergen Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer L.","family":"Richards","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Rollins School of Public Health Emory University Atlanta GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6372-6170","authenticated-orcid":false,"given":"Michael R.","family":"Kramer","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Rollins School of Public Health Emory University Atlanta GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sven","family":"Cnattingius","sequence":"additional","affiliation":[{"name":"Clinical Epidemiology Unit, T2 Department of Medicine Solna Karolinska University Hospital Karolinska Institutet Stockholm Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Johansson","sequence":"additional","affiliation":[{"name":"Clinical Epidemiology Unit, T2 Department of Medicine Solna Karolinska University Hospital Karolinska Institutet Stockholm Sweden"},{"name":"Department of Clinical Science and Education S\u00f6dersjukhuset Karolinska Institutet Stockholm Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mika","family":"Gissler","sequence":"additional","affiliation":[{"name":"Information Services Department National Institute for Health and Welfare Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siobhan M.","family":"Dolan","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology and Women's Health Albert Einstein College of Medicine\/Montefiore Medical Center Bronx NY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer","family":"Zeitlin","sequence":"additional","affiliation":[{"name":"Inserm UMR 1153 Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epop\u00e9) Center for Epidemiology and 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