1. Identification of a morning out‐of‐hospital cardiac arrest cluster of high‐incidence: towards a chrono‐preventive care strategy
- Author
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Patrick Goldstein, Hervé Hubert, Christian Vilhelm, Michaël Genin, Carlos El Khoury, Karim Tazarourte, Jean-Baptiste Marc, on behalf GR-RéAC, Joséphine Escutnaire, Valentine Baert, and Eric Wiel
- Subjects
Emergency Medical Services ,medicine.medical_specialty ,Population ,Disease ,Return of spontaneous circulation ,symbols.namesake ,Epidemiology ,medicine ,Humans ,Registries ,Poisson regression ,education ,Morning ,education.field_of_study ,business.industry ,Incidence ,Health Policy ,Incidence (epidemiology) ,Public Health, Environmental and Occupational Health ,Cardiopulmonary Resuscitation ,Advanced life support ,Hospitalization ,Emergency medicine ,symbols ,business ,Out-of-Hospital Cardiac Arrest - Abstract
RATIONALE, AIMS, AND OBJECTIVES The human body is regulated by intrinsic factors which follow a 24-hour biological clock. Implications of a circadian rhythm in the out-of-hospital cardiac arrest (OHCA) are studied but the literature is not consistent. The main objective of our study was to identify temporal cluster of high or low incidence of OHCA occurrence during a day. METHODS Multicentre comparative study based on the French national OHCA registry data between 2013 and 2017. After describing the population, the detection of significant temporal clusters of OHCA incidence was achieved using temporal scan statistics based on a Poisson model adjusted for age and gender. Then, comparisons between identified patients clusters and the rest of the population were performed. RESULTS During the study, 37 163 medical OHCA victims were included. The temporal scan revealed a significant 3-hour high incidence temporal cluster between 8:00 am and 10:59 am (Relative R = 1.76, P
- Published
- 2020
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