Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort
Abstract 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 hospita...
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doaj-3a3fcbf5a7fd4a3e9d5deebd233ed5862020-11-25T02:06:29ZengBMCScandinavian Journal of Trauma, Resuscitation and Emergency Medicine1757-72412019-03-012711710.1186/s13049-019-0600-zUnplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohortFrançois Javaudin0Valérie Hamel1Arnaud Legrand2Sybille Goddet3François Templier4Christine Potiron5Philippe Pes6Gilles Bagou7Emmanuel Montassier8Department of Emergency Medicine, CHU Nantes, Nantes University HospitalEmergency Department, Toulouse Purpan University HospitalDRCI, CHU NantesSamu-21, CHU de Dijon, SAU-Smur, CH du CreusotEmergency Department, SAMU 49, University Hospital of AngersDepartment of Emergency Medicine, CHU Nantes, Nantes University HospitalDepartment of Emergency Medicine, CHU Nantes, Nantes University HospitalSamu, groupement hospitalier Édouard-HerriotDepartment of Emergency Medicine, CHU Nantes, Nantes University HospitalAbstract 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.http://link.springer.com/article/10.1186/s13049-019-0600-zEmergency medical servicesOut-of-hospital deliveryOut of hospital birthPrehospital deliveryBirth before arrivalUnplanned delivery |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
François Javaudin Valérie Hamel Arnaud Legrand Sybille Goddet François Templier Christine Potiron Philippe Pes Gilles Bagou Emmanuel Montassier |
spellingShingle |
François Javaudin Valérie Hamel Arnaud Legrand Sybille Goddet François Templier Christine Potiron Philippe Pes Gilles Bagou Emmanuel Montassier Unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine Emergency medical services Out-of-hospital delivery Out of hospital birth Prehospital delivery Birth before arrival Unplanned delivery |
author_facet |
François Javaudin Valérie Hamel Arnaud Legrand Sybille Goddet François Templier Christine Potiron Philippe Pes Gilles Bagou Emmanuel Montassier |
author_sort |
François Javaudin |
title |
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_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_sort |
unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort |
publisher |
BMC |
series |
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine |
issn |
1757-7241 |
publishDate |
2019-03-01 |
description |
Abstract 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. |
topic |
Emergency medical services Out-of-hospital delivery Out of hospital birth Prehospital delivery Birth before arrival Unplanned delivery |
url |
http://link.springer.com/article/10.1186/s13049-019-0600-z |
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