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

INTRODUCTION: 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 birt...

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Autores principales: Elias, Cecília, Nogueira, Paulo Jorge, Sousa, Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945543/
https://www.ncbi.nlm.nih.gov/pubmed/36846533
http://dx.doi.org/10.1002/hsr2.1054
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author Elias, Cecília
Nogueira, Paulo Jorge
Sousa, Paulo
author_facet Elias, Cecília
Nogueira, Paulo Jorge
Sousa, Paulo
author_sort Elias, Cecília
collection PubMed
description INTRODUCTION: 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.
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spelling pubmed-99455432023-02-23 Preterm birth characteristics and outcomes in Portugal, between 2010 and 2018—A cross‐sectional sequential study Elias, Cecília Nogueira, Paulo Jorge Sousa, Paulo Health Sci Rep Original Research INTRODUCTION: 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. John Wiley and Sons Inc. 2023-02-22 /pmc/articles/PMC9945543/ /pubmed/36846533 http://dx.doi.org/10.1002/hsr2.1054 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) 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.
spellingShingle Original Research
Elias, Cecília
Nogueira, Paulo Jorge
Sousa, Paulo
Preterm birth characteristics and outcomes in Portugal, between 2010 and 2018—A cross‐sectional sequential study
title Preterm birth characteristics and outcomes in Portugal, between 2010 and 2018—A cross‐sectional sequential study
title_full Preterm birth characteristics and outcomes in Portugal, between 2010 and 2018—A cross‐sectional sequential study
title_fullStr Preterm birth characteristics and outcomes in Portugal, between 2010 and 2018—A cross‐sectional sequential study
title_full_unstemmed Preterm birth characteristics and outcomes in Portugal, between 2010 and 2018—A cross‐sectional sequential study
title_short Preterm birth characteristics and outcomes in Portugal, between 2010 and 2018—A cross‐sectional sequential study
title_sort preterm birth characteristics and outcomes in portugal, between 2010 and 2018—a cross‐sectional sequential study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945543/
https://www.ncbi.nlm.nih.gov/pubmed/36846533
http://dx.doi.org/10.1002/hsr2.1054
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