Newborn resuscitation timelines: accurately capturing treatment in the delivery room.

compliance with guidelines dry-electrode ECG heart rate newborn resuscitation newborn resuscitation timelines positive pressure ventilation

Journal

Resuscitation
ISSN: 1873-1570
Titre abrégé: Resuscitation
Pays: Ireland
ID NLM: 0332173

Informations de publication

Date de publication:
26 Feb 2024
Historique:
received: 23 10 2023
revised: 19 02 2024
accepted: 20 02 2024
medline: 29 2 2024
pubmed: 29 2 2024
entrez: 28 2 2024
Statut: aheadofprint

Résumé

To evaluate the use of newborn resuscitation timelines to assess the incidence, sequence, timing, duration of and response to resuscitative interventions. A population-based observational study conducted June 2019 - November 2021 at Stavanger University Hospital, Norway. Parents consented to participation antenatally. Newborns ≥28 weeks' gestation receiving positive pressure ventilation (PPV) at birth were enrolled. Time of birth was registered. Dry-electrode electrocardiogram was applied as soon as possible after birth and used to measure heart rate continuously during resuscitation. Newborn resuscitation timelines were generated from analysis of video recordings. Of 7466 newborns ≥28 weeks' gestation, 289 (3.9%) received PPV. Of these, 182 had the resuscitation captured on video, and were included. Two-thirds were apnoeic, and one-third were breathing ineffectively at the commencement of PPV. PPV was started at median (quartiles) 72 (44, 141) seconds after birth and continued for 135 (68, 236) seconds. The ventilation fraction, defined as the proportion of time from first to last inflation during which PPV was provided, was 85%. Interruption in ventilation was most frequently caused by mask repositioning and auscultation. Suctioning was performed in 35% of newborns, in 95% of cases after the initiation of PPV. PPV was commenced within 60 seconds of birth in 49% of apnoeic and 12% of ineffectively breathing newborns, respectively. Newborn resuscitation timelines can graphically present accurate, time-sensitive and complex data from resuscitations synchronised in time. Timelines can be used to enhance understanding of resuscitation events in data-guided quality improvement initiatives.

Identifiants

pubmed: 38417611
pii: S0300-9572(24)00049-2
doi: 10.1016/j.resuscitation.2024.110156
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110156

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Hanne Pike (H)

Faculty of Health Sciences, University of Stavanger, Stavanger, Norway; Department of Pediatrics, Stavanger University Hospital, Stavanger, Norway.

Vilde Kolstad (V)

Department of Research, Stavanger University Hospital, Stavanger, Norway.

Joar Eilevstjønn (J)

Strategic Research, Laerdal Medical, Stavanger, Norway.

Peter G Davis (PG)

Royal Women's Hospital, Melbourne, Australia.

Hege Langli Ersdal (H)

Faculty of Health Sciences, University of Stavanger, Stavanger, Norway; Department of Simulation, Stavanger University Hospital, Stavanger, Norway.

Siren Irene Rettedal (S)

Faculty of Health Sciences, University of Stavanger, Stavanger, Norway; Department of Research, Stavanger University Hospital, Stavanger, Norway. Electronic address: siren.irene.rettedal@sus.no.

Classifications MeSH