Can we identify termination of resuscitation ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
PMID :
URL permanente :
Titre :
Can we identify termination of resuscitation criteria in cardiac arrest due to drowning: results from the french national out-of-hospital cardiac arrest registry
Auteur(s) :
Hubert, Hervé [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Escutnaire, Josephine [Auteur]
Santé publique : épidémiologie et qualité des soins - EA 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Michelet, Pierre [Auteur]
Babykina, Génia [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
El Khoury, Carlos [Auteur]
Tazarourte, Karim [Auteur]
Vilhelm, Christian [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
El Hiki, Lahcen [Auteur]
Guinhouya, Benjamin [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Gueugniaud, Pierre-Yves [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Escutnaire, Josephine [Auteur]
Santé publique : épidémiologie et qualité des soins - EA 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Michelet, Pierre [Auteur]
Babykina, Génia [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
El Khoury, Carlos [Auteur]
Tazarourte, Karim [Auteur]
Vilhelm, Christian [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
El Hiki, Lahcen [Auteur]
Guinhouya, Benjamin [Auteur]

Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Gueugniaud, Pierre-Yves [Auteur]
Titre de la revue :
Journal of evaluation in clinical practice
Nom court de la revue :
J. Eval. Clin. Pract.
Numéro :
22
Pagination :
924-931
Date de publication :
2016-12-01
ISSN :
1356-1294
Mot(s)-clé(s) en anglais :
cardiac arrest
drowning
out-of-hospital
prognostic criteria
ReAC
registry
drowning
out-of-hospital
prognostic criteria
ReAC
registry
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
OBJECTIVE: The aim of this study was to describe the cohort of persons having experiences fatal and non-fatal drowning events, registered in the French cardiac arrest registry and to identify termination of resuscitation ...
Lire la suite >OBJECTIVE: The aim of this study was to describe the cohort of persons having experiences fatal and non-fatal drowning events, registered in the French cardiac arrest registry and to identify termination of resuscitation criteria. METHODS: We performed a prospective multicenter study based on data from French cardiac arrest registry database. All patients with cardiac arrest after drowning (CAD) recorded between July 2011 and November 2014 were included. The population description was carried out by medians [interquartile ranges (IQR)] or frequencies. The characteristics were compared in terms of the primary endpoint (alive vs dead at hospital admission) using chi-square or Fisher's exact and the Mann-Whitney U test. The predictive model was carried out using the multivariate logistic regression. RESULTS: The analysis included 234 CAD. The majority of patients were adults (83.6%) and males (64.5%). Most of the submersions occurred out of home (75.6%). We recorded 66.7% of incidents in fresh water. About a third of CAD was witnessed of which 33.8% had an immediate basic life support. Most of CAD patients received an advanced cardiac life support (87.2%). The median Mobile Medical Team response time was 22 [15-30] minutes. At hospital, 40.6% of patients were alive. Twenty one patients (9.0%) were discharged alive. Among them, 17 had a good neurological outcome. Faster interventions generally resulted in higher survival chances (Mobile Medical Team response time OR: 0.960[0.925; 0.996]; P = 0.0.031; no flow duration OR: 0.535[0.313; 0.913]; P = 0.022) if associated with ventilation (OR: 6.742[2.043; 22.250]; P = 0.002). Age (OR: 0.971[0.955; 0.988]; P = 0.001) and location outside (OR: 0.203[0.064; 0.625]; P = 0.007) are the other criteria of our model. CONCLUSIONS: The model is helpful to highlight explanative variables concerning CAD patients' outcome. The next step is the validation of these five factors by a larger study. Prevention and public training to lifesaving behaviours must be considered as priorities in French public health programmes.Lire moins >
Lire la suite >OBJECTIVE: The aim of this study was to describe the cohort of persons having experiences fatal and non-fatal drowning events, registered in the French cardiac arrest registry and to identify termination of resuscitation criteria. METHODS: We performed a prospective multicenter study based on data from French cardiac arrest registry database. All patients with cardiac arrest after drowning (CAD) recorded between July 2011 and November 2014 were included. The population description was carried out by medians [interquartile ranges (IQR)] or frequencies. The characteristics were compared in terms of the primary endpoint (alive vs dead at hospital admission) using chi-square or Fisher's exact and the Mann-Whitney U test. The predictive model was carried out using the multivariate logistic regression. RESULTS: The analysis included 234 CAD. The majority of patients were adults (83.6%) and males (64.5%). Most of the submersions occurred out of home (75.6%). We recorded 66.7% of incidents in fresh water. About a third of CAD was witnessed of which 33.8% had an immediate basic life support. Most of CAD patients received an advanced cardiac life support (87.2%). The median Mobile Medical Team response time was 22 [15-30] minutes. At hospital, 40.6% of patients were alive. Twenty one patients (9.0%) were discharged alive. Among them, 17 had a good neurological outcome. Faster interventions generally resulted in higher survival chances (Mobile Medical Team response time OR: 0.960[0.925; 0.996]; P = 0.0.031; no flow duration OR: 0.535[0.313; 0.913]; P = 0.022) if associated with ventilation (OR: 6.742[2.043; 22.250]; P = 0.002). Age (OR: 0.971[0.955; 0.988]; P = 0.001) and location outside (OR: 0.203[0.064; 0.625]; P = 0.007) are the other criteria of our model. CONCLUSIONS: The model is helpful to highlight explanative variables concerning CAD patients' outcome. The next step is the validation of these five factors by a larger study. Prevention and public training to lifesaving behaviours must be considered as priorities in French public health programmes.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CHU Lille
Université de Lille
Université de Lille
Date de dépôt :
2019-12-09T18:15:32Z