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Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births

We examined the trends in stillbirth across gestational age in the United States (US).We conducted a trend analysis using the U.S. Natality and Fetal Death datasets covering 1982 and 2017. We compared the incidence and rates of stillbirth for term, all preterm, moderate-to-late preterm, very preterm...

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Autores principales: Dongarwar, Deepa, Aggarwal, Anjali, Barning, Kenneth, Salihu, Hamisu Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Global Health and Education Projects, Inc 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031879/
https://www.ncbi.nlm.nih.gov/pubmed/32123637
http://dx.doi.org/10.21106/ijma.344
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author Dongarwar, Deepa
Aggarwal, Anjali
Barning, Kenneth
Salihu, Hamisu Mohammed
author_facet Dongarwar, Deepa
Aggarwal, Anjali
Barning, Kenneth
Salihu, Hamisu Mohammed
author_sort Dongarwar, Deepa
collection PubMed
description We examined the trends in stillbirth across gestational age in the United States (US).We conducted a trend analysis using the U.S. Natality and Fetal Death datasets covering 1982 and 2017. We compared the incidence and rates of stillbirth for term, all preterm, moderate-to-late preterm, very preterm, and extreme preterm phenotypes. The incidence of stillbirth decreased for the entire birth cohort over the 36-year period. The rates of overall, term, all preterm, very preterm and moderate-to-late preterm stillbirth decreased from 1982 to 2017; however, the rates for extreme preterm stillbirth increased by about 7.6% over the same study period.
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spelling pubmed-70318792020-03-02 Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births Dongarwar, Deepa Aggarwal, Anjali Barning, Kenneth Salihu, Hamisu Mohammed Int J MCH AIDS Short Research Communication We examined the trends in stillbirth across gestational age in the United States (US).We conducted a trend analysis using the U.S. Natality and Fetal Death datasets covering 1982 and 2017. We compared the incidence and rates of stillbirth for term, all preterm, moderate-to-late preterm, very preterm, and extreme preterm phenotypes. The incidence of stillbirth decreased for the entire birth cohort over the 36-year period. The rates of overall, term, all preterm, very preterm and moderate-to-late preterm stillbirth decreased from 1982 to 2017; however, the rates for extreme preterm stillbirth increased by about 7.6% over the same study period. Global Health and Education Projects, Inc 2020 2020-02-10 /pmc/articles/PMC7031879/ /pubmed/32123637 http://dx.doi.org/10.21106/ijma.344 Text en Copyright © 2020 Dongarwar et al. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Research Communication
Dongarwar, Deepa
Aggarwal, Anjali
Barning, Kenneth
Salihu, Hamisu Mohammed
Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births
title Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births
title_full Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births
title_fullStr Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births
title_full_unstemmed Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births
title_short Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births
title_sort trends in stillbirths and stillbirth phenotypes in the united states: an analysis of 131.5 million births
topic Short Research Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031879/
https://www.ncbi.nlm.nih.gov/pubmed/32123637
http://dx.doi.org/10.21106/ijma.344
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