TY - JOUR
T1 - Cardiac arrest in children
T2 - A Europe-wide epidemiological study on out-of-hospital cardiac arrest in children. A protocol for a subgroup analysis of the European registry of cardiac arrest THREE study
AU - Kelpanides, Inga K.
AU - Katzenschlager, Stephan
AU - Tjelmeland, Ingvild B. M.
AU - Kramer-Johansen, Jo
AU - Bossaert, Leo
AU - Maurer, Holger
AU - Masterson, Siobhán
AU - Lefering, Rolf
AU - Herlitz, Johan
AU - Ortiz, Fernando Rossell
AU - Perkins, Gavin
AU - Wnent, Jan
AU - Gräsner, Jan-Thorsten
AU - Mörtl, Maximilian
AU - Mols, Pierre
AU - Alihodžić, Hajriz
AU - Hadžibegović, Irzal
AU - Ioannides, Marios
AU - Truhlář, Anatolij
AU - Folke, Fredrik
AU - Escutnaire, Josephine
AU - Nikolaou, Nikolaos
AU - Molnar, Noemi
AU - Jónsson, Bergþór Steinn
AU - Semeraro, Federico
AU - Burkart, Roman
AU - Clarens, Carlo
AU - Giordimaina, Christopher
AU - Stieglis, Remy
AU - Żądło, Anna
AU - Gouveia Correia, Vitor Hugo
AU - Cimpoiesu, Diana
AU - Raffay, Violetta
AU - Trenkler, Stefan
AU - Strnad, Matej
AU - Ortiz, Fernando Rossell
AU - Strømsøe, Anneli
AU - Booth, Scott
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/11/1
Y1 - 2025/11/1
N2 - Background: Out-of-hospital cardiac arrest affecting children may result in death or hypoxic brain injury, with potentially devastating consequences for children, families, and societies. Efforts to reduce this impact require sound knowledge of current epidemiology. This protocol outlines a study of the epidemiology of out-of-hospital cardiac arrest in persons aged <18 years across 28 European countries. Methods/design: The European Registry of Cardiac Arrest (EuReCa) THREE study, a prospective, multi-centre cohort study, collected data for cases of out-of-hospital cardiac arrest between September 1st and November 30th 2022. This paediatric substudy will analyse features of cardiac arrests in children. Subsequently, the paediatric group will be compared to a cohort of younger adults (18–65 years) to identify differences. Incidences of out-of-hospital cardiac arrest will be calculated using relevant population data and presented per 100,000 child- and person-years for participating countries and overall, alongside national groupings of precipitating causes underlying cardiac arrest. Logistic regression will be performed to identify modifiable factors impacting the outcomes survived event and survival to hospital discharge or 30 days. Independent variables will include features of cardiac arrest, including presumed cause, witnessed status, shockable rhythm, epidemiological, and resuscitation factors. Logistic regression analysis results will be displayed in tables, and statistical significance set at the 0.05 level. Discussion: The results will be used to identify possible targets for preventing cardiac arrest, e.g. by raising awareness of important causes among the public and healthcare providers. Furthermore, the study may identify opportunities for optimising resuscitation chains in Europe to improve outcomes.
AB - Background: Out-of-hospital cardiac arrest affecting children may result in death or hypoxic brain injury, with potentially devastating consequences for children, families, and societies. Efforts to reduce this impact require sound knowledge of current epidemiology. This protocol outlines a study of the epidemiology of out-of-hospital cardiac arrest in persons aged <18 years across 28 European countries. Methods/design: The European Registry of Cardiac Arrest (EuReCa) THREE study, a prospective, multi-centre cohort study, collected data for cases of out-of-hospital cardiac arrest between September 1st and November 30th 2022. This paediatric substudy will analyse features of cardiac arrests in children. Subsequently, the paediatric group will be compared to a cohort of younger adults (18–65 years) to identify differences. Incidences of out-of-hospital cardiac arrest will be calculated using relevant population data and presented per 100,000 child- and person-years for participating countries and overall, alongside national groupings of precipitating causes underlying cardiac arrest. Logistic regression will be performed to identify modifiable factors impacting the outcomes survived event and survival to hospital discharge or 30 days. Independent variables will include features of cardiac arrest, including presumed cause, witnessed status, shockable rhythm, epidemiological, and resuscitation factors. Logistic regression analysis results will be displayed in tables, and statistical significance set at the 0.05 level. Discussion: The results will be used to identify possible targets for preventing cardiac arrest, e.g. by raising awareness of important causes among the public and healthcare providers. Furthermore, the study may identify opportunities for optimising resuscitation chains in Europe to improve outcomes.
KW - Emergency medical service
KW - Epidemiology
KW - EuReCa
KW - Out-of-hospital cardiac arrest
KW - Paediatric cardiac arrest
KW - Resuscitation
UR - https://www.scopus.com/pages/publications/105015439889
U2 - 10.1016/j.resplu.2025.101081
DO - 10.1016/j.resplu.2025.101081
M3 - Article
C2 - 41467053
SN - 2666-5204
VL - 26
JO - Resuscitation plus
JF - Resuscitation plus
M1 - 101081
ER -