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.
La Société française de médecine d’urgence
(SFMU) a recommandé la création d’une échelle spécifique, unique au niveau national, pour le triage des patients à l’accueil d’une structure d’urgences, prenant en compte les spécificités de l’adulte et de l’enfant. La commission de l’évaluation et de la qualité de la SFMU a créé, à l’instar des échelles de tri internationales, une échelle de tri avec cinq niveaux de priorité croissante (tris 5 à 1, du moins urgent au plus urgent) auxquels correspondent des motifs de recours aux soins de complexité/sévérité croissante. Le tri 3 a été subdivisé en deux groupes pour distinguer (et prioriser) les patients qui ont au moins une comorbidité en rapport avec le motif de recours aux soins ou qui sont adressés par un médecin (3A) des autres patients (3B). L’échelle de tri FRENCH (FRench Emergency Nurses Classification in Hospital) a donc six niveaux de priorité. À chaque niveau de tri correspondent des motifs de recours aux soins fréquents en médecine d’urgence, des modulateurs de tri, une répartition rationnelle des circuits patients et un délai maximum d’attente avant prise en charge médicale, après évaluation par l’infirmier(ière) d’accueil. Une première évaluation de la FRENCH a montré qu’elle répondait aux objectifs du triage en facilitant le repérage de l’urgence complexe/sévère de façon fiable et reproductible. De nouvelles évaluations sont nécessaires dans d’autres structures d’urgences pour confirmer sa performance et favoriser son évolution.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.