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Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort
BACKGROUND: In France, while most babies are delivered at hospital, emergency medical services (EMS) weekly manage calls for unplanned out-of-hospital births. The objective of our study was to describe neonatal morbidity and mortality, defined as death or neonatal intensive care unit hospitalization...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397745/ https://www.ncbi.nlm.nih.gov/pubmed/30825876 http://dx.doi.org/10.1186/s13049-019-0600-z |
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author | Javaudin, François Hamel, Valérie Legrand, Arnaud Goddet, Sybille Templier, François Potiron, Christine Pes, Philippe Bagou, Gilles Montassier, Emmanuel |
author_facet | Javaudin, François Hamel, Valérie Legrand, Arnaud Goddet, Sybille Templier, François Potiron, Christine Pes, Philippe Bagou, Gilles Montassier, Emmanuel |
author_sort | Javaudin, François |
collection | PubMed |
description | BACKGROUND: In France, while most babies are delivered at hospital, emergency medical services (EMS) weekly manage calls for unplanned out-of-hospital births. The objective of our study was to describe neonatal morbidity and mortality, defined as death or neonatal intensive care unit hospitalization at Day 7, in a prospective multicentric cohort of unplanned out-of-hospital births. METHODS: We prospectively analyzed out-of-hospital births from 25 prehospital EMS units in France. The primary outcome was neonatal morbidity and mortality, and the secondary outcome was risk factors associated with neonatal morbidity and mortality. A univariate logistic regression was first made, followed by a multivariate logistic regression with backward selection. RESULTS: From October 2011 to August 2018, a total of 1670 unplanned out-of-hospital births were included. Of these, 1652 (99.2%) were singleton and 1537 (93.5%) had prenatal care. Maternal mean age of the study population was 30 ± 5.5 (range 15 to 48). The majority of women were multiparous, but 13% were nulliparous. Overall, 45.3% of these unplanned out-of-hospital births were medically-driven, either by phone during medical regulation (12.5%) or on scene by the prehospital emergency medical service units (32.9%). The prevalence of neonatal morbidity and mortality was 6.3% (n = 106) after an unplanned out-of-hospital birth (death before Day 7: n = 20; 1.2%). The multivariate logistic regression found that multiparity (adjusted Odds Ratio = 70.7 [4.7–1062]), prematurity (adjusted Odds Ratio = 6.7 [2.1–21.4]), maternal pathology (adjusted Odds Ratio = 2.8 [1.0–7.5]) and hypothermia (adjusted Odds Ratio = 2.8 [1.1–7.6]) were independent predictive factors of neonatal morbidity and mortality. CONCLUSIONS: Our study assessed for the first time risk factors for adverse perinatal outcome in a large and multicenter cohort of unplanned out-of-hospital births. We have to improve temperature management in the out-of-hospital field and future trials are required to investigate strategies to optimize newborns management in the prehospital area. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13049-019-0600-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6397745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63977452019-03-13 Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort Javaudin, François Hamel, Valérie Legrand, Arnaud Goddet, Sybille Templier, François Potiron, Christine Pes, Philippe Bagou, Gilles Montassier, Emmanuel Scand J Trauma Resusc Emerg Med Original Research BACKGROUND: In France, while most babies are delivered at hospital, emergency medical services (EMS) weekly manage calls for unplanned out-of-hospital births. The objective of our study was to describe neonatal morbidity and mortality, defined as death or neonatal intensive care unit hospitalization at Day 7, in a prospective multicentric cohort of unplanned out-of-hospital births. METHODS: We prospectively analyzed out-of-hospital births from 25 prehospital EMS units in France. The primary outcome was neonatal morbidity and mortality, and the secondary outcome was risk factors associated with neonatal morbidity and mortality. A univariate logistic regression was first made, followed by a multivariate logistic regression with backward selection. RESULTS: From October 2011 to August 2018, a total of 1670 unplanned out-of-hospital births were included. Of these, 1652 (99.2%) were singleton and 1537 (93.5%) had prenatal care. Maternal mean age of the study population was 30 ± 5.5 (range 15 to 48). The majority of women were multiparous, but 13% were nulliparous. Overall, 45.3% of these unplanned out-of-hospital births were medically-driven, either by phone during medical regulation (12.5%) or on scene by the prehospital emergency medical service units (32.9%). The prevalence of neonatal morbidity and mortality was 6.3% (n = 106) after an unplanned out-of-hospital birth (death before Day 7: n = 20; 1.2%). The multivariate logistic regression found that multiparity (adjusted Odds Ratio = 70.7 [4.7–1062]), prematurity (adjusted Odds Ratio = 6.7 [2.1–21.4]), maternal pathology (adjusted Odds Ratio = 2.8 [1.0–7.5]) and hypothermia (adjusted Odds Ratio = 2.8 [1.1–7.6]) were independent predictive factors of neonatal morbidity and mortality. CONCLUSIONS: Our study assessed for the first time risk factors for adverse perinatal outcome in a large and multicenter cohort of unplanned out-of-hospital births. We have to improve temperature management in the out-of-hospital field and future trials are required to investigate strategies to optimize newborns management in the prehospital area. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13049-019-0600-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-02 /pmc/articles/PMC6397745/ /pubmed/30825876 http://dx.doi.org/10.1186/s13049-019-0600-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Original Research Javaudin, François Hamel, Valérie Legrand, Arnaud Goddet, Sybille Templier, François Potiron, Christine Pes, Philippe Bagou, Gilles Montassier, Emmanuel Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort |
title | Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort |
title_full | Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort |
title_fullStr | Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort |
title_full_unstemmed | Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort |
title_short | Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort |
title_sort | unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397745/ https://www.ncbi.nlm.nih.gov/pubmed/30825876 http://dx.doi.org/10.1186/s13049-019-0600-z |
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