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Preterm birth characteristics and outcomes in Portugal, between 2010 and 2018: a cross‐sectional sequential study

dc.contributor.authorElias, Cecília
dc.contributor.authorNogueira, Paulo Jorge
dc.contributor.authorSousa, Paulo
dc.date.accessioned2023-05-26T13:23:39Z
dc.date.available2023-05-26T13:23:39Z
dc.date.issued2023
dc.descriptionŠ 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.pt_PT
dc.description.abstractIntroduction: According to the World Health Organization, 11% of all children are born prematurely, representing 15 million births annually. An extensive analysis on preterm birth, from extreme to late prematurity and associated deaths, has not been published. The authors characterize premature births in Portugal, between 2010 and 2018, according to gestational age, geographic distribution, month, multiple gestations, comorbidities, and outcomes. Methods: A sequential, cross-sectional, observational epidemiologic study was conducted, and data were collected from the Hospital Morbidity Database, an anonymous administrative database containing information on all hospitalizations in National Health Service hospitals in Portugal, and coded according to the ICD-9-CM (International Classification of Diseases), until 2016, and ICD-10 subsequently. Data from the National Institute of Statistics was utilized to compare the Portuguese population. Data were analyzed using R software. Results: In this 9-year study, 51.316 births were preterm, representing an overall prematurity rate of 7.7%. Under 29 weeks, birth rates varied between 5.5% and 7.6%, while births between 33 and 36 weeks varied between 76.9% and 81.0%. Urban districts presented the highest preterm rates. Multiple births were 8× more likely preterm and accounted for 37%-42% of all preterm births. Preterm birth rates slightly increased in February, July, August, and October. Overall, respiratory distress syndrome (RDS), sepsis, and intraventricular hemorrhage were the most common morbidities. Preterm mortality rates varied significantly with gestational age. Conclusion: In Portugal, 1 in 13 babies was born prematurely. Prematurity was more common in predominantly urban districts, a surprise finding that warrants further studies. Seasonal preterm variation rates also require further analysis and modelling to factor in heat waves and low temperatures. A decrease in the case rate of RDS and sepsis was observed. Compared with previously published results, preterm mortality per gestational age decreased; however, further improvements are attainable in comparison with other countries.pt_PT
dc.description.sponsorshipThe present publication was funded by Fundação Ciência e Tecnologia, IP national support through CHRC, Grant/Award Number: UIDP/04923/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationHealth Sci Rep. 2023 Feb 22;6(2):e1054pt_PT
dc.identifier.doi10.1002/hsr2.1054pt_PT
dc.identifier.eissn2398-8835
dc.identifier.urihttp://hdl.handle.net/10451/57626
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationComprehensive Health Research Center - Research, Education, Training and Innovation in Clinical research and Public Health
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/journal/23988835pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectGestational agept_PT
dc.subjectMorbiditiespt_PT
dc.subjectMortalitypt_PT
dc.subjectMultiplept_PT
dc.subjectPrematuritypt_PT
dc.subjectUrban–ruralpt_PT
dc.titlePreterm birth characteristics and outcomes in Portugal, between 2010 and 2018: a cross‐sectional sequential studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleComprehensive Health Research Center - Research, Education, Training and Innovation in Clinical research and Public Health
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04923%2F2020/PT
oaire.citation.issue2pt_PT
oaire.citation.titleHealth Science Reportspt_PT
oaire.citation.volume6pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameNogueira
person.givenNamePaulo Jorge
person.identifier1013768
person.identifier.ciencia-id2410-2DCC-F213
person.identifier.orcid0000-0001-8316-5035
person.identifier.ridAAR-5605-2020
person.identifier.scopus-author-id7005428250
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery9d24d0e5-5fab-4fef-b962-b0333e28f9d1
relation.isProjectOfPublication919196a0-040d-4895-a2fd-17799fff82f9
relation.isProjectOfPublication.latestForDiscovery919196a0-040d-4895-a2fd-17799fff82f9

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