{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T05:12:44Z","timestamp":1790053964483,"version":"4.0.1"},"reference-count":38,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Paediatrica"],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Aim<\/jats:title><jats:p>To assess the strength of associations between interrelated perinatal risk factors and mortality in very preterm infants.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Information on all live\u2010born infants delivered in Sweden at 22\u201331\u00a0weeks of gestational age (GA) from 2011 to 2019 was gathered from the Swedish Neonatal Quality Register, excluding infants with major malformations or not resuscitated because of anticipated poor prognosis. Twenty\u2010seven perinatal risk factors available at birth were exposures and in\u2010hospital mortality outcome. Orthogonal partial least squares discriminant analysis was applied to assess proximity between individual risk factors and mortality, and receiver operating characteristic (ROC) curves were used to estimate discriminant ability.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In total, 638 of 8,396 (7.6%) infants died. Thirteen risk factors discriminated reduced mortality; the most important were higher Apgar scores at 5 and 10\u00a0min, GA and birthweight. Restricting the analysis to preterm infants &lt;28\u00a0weeks\u2019 GA (<jats:italic>n\u00a0=<\/jats:italic>\u00a02939, 16.9% mortality) added antenatal corticosteroid therapy as significantly associated with lower mortality. The area under the ROC curve (the C\u2010statistic) using all risk factors was 0.86, as determined after both internal and external validation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Apgar scores, gestational age and birthweight show stronger associations with mortality in very preterm infants than several other perinatal risk factors available at birth.<\/jats:p><\/jats:sec>","DOI":"10.1111\/apa.16356","type":"journal-article","created":{"date-parts":[[2022,4,9]],"date-time":"2022-04-09T18:49:11Z","timestamp":1649530151000},"page":"1526-1535","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Perinatal risk factors for mortality in very preterm infants\u2014A nationwide, population\u2010based discriminant analysis"],"prefix":"10.1111","volume":"111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4191-3781","authenticated-orcid":false,"given":"Mikael","family":"Norman","sequence":"first","affiliation":[{"name":"Department of Clinical Science, Intervention and Technology Karolinska Institutet  Stockholm Sweden"},{"name":"Department of Neonatal Medicine Karolinska University Hospital  Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Nilsson","sequence":"additional","affiliation":[{"name":"Department of Chemistry, Ume\u00e5 University  Ume\u00e5 Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johan","family":"Trygg","sequence":"additional","affiliation":[{"name":"Department of Chemistry, Ume\u00e5 University  Ume\u00e5 Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stellan","family":"H\u00e5kansson","sequence":"additional","affiliation":[{"name":"Department of Clinical Sciences, Pediatrics 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