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Severe maternal morbidity: A population-based study of an expanded measure and associated factors
Severe maternal morbidity conditions such as sepsis, embolism and cardiac arrest during the delivery hospitalization period can lead to extended length of hospital stays, life-long maternal health problems, and high medical costs. Most importantly, these conditions also contribute to the risk of mat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546569/ https://www.ncbi.nlm.nih.gov/pubmed/28787028 http://dx.doi.org/10.1371/journal.pone.0182343 |
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author | Lazariu, Victoria Nguyen, Trang McNutt, Louise-Anne Jeffrey, Jillian Kacica, Marilyn |
author_facet | Lazariu, Victoria Nguyen, Trang McNutt, Louise-Anne Jeffrey, Jillian Kacica, Marilyn |
author_sort | Lazariu, Victoria |
collection | PubMed |
description | Severe maternal morbidity conditions such as sepsis, embolism and cardiac arrest during the delivery hospitalization period can lead to extended length of hospital stays, life-long maternal health problems, and high medical costs. Most importantly, these conditions also contribute to the risk of maternal death. This population-based observational study proposed and evaluated the impact of expanding the Centers for Disease Control and Prevention (CDC) measure of severe maternal morbidity by including additional comorbidities and intensive care admissions during delivery hospitalizations and examined associated factors. A New York State linked hospitalization and birth record database was used. Study participants included all New York State female residents, ages 10 to 55 years, who delivered a live infant in a New York acute care hospital between 2008 and 2013, inclusive. Incidence trends for both severe maternal morbidity measures were evaluated longitudinally. Associations between covariates and the two severe maternal morbidity measures were examined with logistic regression models, solved using generalized estimating equations and stratified by method of delivery. The New York expanded severe maternal morbidity measure identified 34,478 cases among 1,352,600 hospital deliveries (estimated incidence 2.55%) representing a 3% increase in the number of cases compared to the CDC measure. Both estimates increased over the study period (p<0.001). Covariates with an odds ratio > 1.5 included most measured comorbidities (e.g., pregnancy-induced hypertension, placentation disorder), multiple births, preterm birth, no prenatal care, hospitalization prior to delivery, higher levels of perinatal care birthing facilities and race/ethnicity. Expanding the measure for severe maternal morbidity during delivery to capture intensive care admissions provides a more sensitive estimate of disease burden. Perinatal regionalization in New York appears effective in routing high risk pregnancies to higher levels of perinatal care birthing facilities. |
format | Online Article Text |
id | pubmed-5546569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55465692017-08-12 Severe maternal morbidity: A population-based study of an expanded measure and associated factors Lazariu, Victoria Nguyen, Trang McNutt, Louise-Anne Jeffrey, Jillian Kacica, Marilyn PLoS One Research Article Severe maternal morbidity conditions such as sepsis, embolism and cardiac arrest during the delivery hospitalization period can lead to extended length of hospital stays, life-long maternal health problems, and high medical costs. Most importantly, these conditions also contribute to the risk of maternal death. This population-based observational study proposed and evaluated the impact of expanding the Centers for Disease Control and Prevention (CDC) measure of severe maternal morbidity by including additional comorbidities and intensive care admissions during delivery hospitalizations and examined associated factors. A New York State linked hospitalization and birth record database was used. Study participants included all New York State female residents, ages 10 to 55 years, who delivered a live infant in a New York acute care hospital between 2008 and 2013, inclusive. Incidence trends for both severe maternal morbidity measures were evaluated longitudinally. Associations between covariates and the two severe maternal morbidity measures were examined with logistic regression models, solved using generalized estimating equations and stratified by method of delivery. The New York expanded severe maternal morbidity measure identified 34,478 cases among 1,352,600 hospital deliveries (estimated incidence 2.55%) representing a 3% increase in the number of cases compared to the CDC measure. Both estimates increased over the study period (p<0.001). Covariates with an odds ratio > 1.5 included most measured comorbidities (e.g., pregnancy-induced hypertension, placentation disorder), multiple births, preterm birth, no prenatal care, hospitalization prior to delivery, higher levels of perinatal care birthing facilities and race/ethnicity. Expanding the measure for severe maternal morbidity during delivery to capture intensive care admissions provides a more sensitive estimate of disease burden. Perinatal regionalization in New York appears effective in routing high risk pregnancies to higher levels of perinatal care birthing facilities. Public Library of Science 2017-08-07 /pmc/articles/PMC5546569/ /pubmed/28787028 http://dx.doi.org/10.1371/journal.pone.0182343 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Lazariu, Victoria Nguyen, Trang McNutt, Louise-Anne Jeffrey, Jillian Kacica, Marilyn Severe maternal morbidity: A population-based study of an expanded measure and associated factors |
title | Severe maternal morbidity: A population-based study of an expanded measure and associated factors |
title_full | Severe maternal morbidity: A population-based study of an expanded measure and associated factors |
title_fullStr | Severe maternal morbidity: A population-based study of an expanded measure and associated factors |
title_full_unstemmed | Severe maternal morbidity: A population-based study of an expanded measure and associated factors |
title_short | Severe maternal morbidity: A population-based study of an expanded measure and associated factors |
title_sort | severe maternal morbidity: a population-based study of an expanded measure and associated factors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546569/ https://www.ncbi.nlm.nih.gov/pubmed/28787028 http://dx.doi.org/10.1371/journal.pone.0182343 |
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