Insufficient quality of public automated external defibrillator recordings in the greater Paris area, a descriptive study.


Journal

Emergency medicine journal : EMJ
ISSN: 1472-0213
Titre abrégé: Emerg Med J
Pays: England
ID NLM: 100963089

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 16 12 2019
revised: 15 07 2020
accepted: 25 07 2020
pubmed: 4 9 2020
medline: 8 5 2021
entrez: 4 9 2020
Statut: ppublish

Résumé

Western countries report a significant increase in the proportion of patients who experience out-of-hospital cardiac arrests (OHCAs) and benefit from a public automated external defibrillator (pAED) before the arrival of rescue teams. However, recordings of devices recovered after resuscitation are of variable quality. Analysis of these data may inform decisions of whether to implement an internal defibrillator for survivors, and provide useful information about the performance of pAED algorithms and the actions of bystanders. To investigate the quality of the information recorded by pAEDs during OHCAs in the Paris area. pAED files used for some of the 8629 OHCAs that occurred in the greater Paris area between 1 January 2017 and 31 April 2019 on the day of the arrest were collected. The presence and accuracy of 23 factors required to interpret the recording was noted, including readability of the ECG, the presence of an impedance curve and the accuracy of the date and time. The recordings were analysed to assess the diagnostic and therapeutic performance of the pAEDs used. A total of 258 patients with an OHCA received assistance from a pAED, and 182 recordings were recovered. The pAEDs were made by 12 different manufacturers. Data extraction required eight different transmission modes and 16 software programmes; recordings were of highly heterogeneous quality. Two per cent of the recordings were of such poor quality that they were not interpretable. Among the 98% remaining, only 43% included a thoracic impedance curve, 34% the intensity of the shocks delivered and 8% the patient name. The date and time were accurate in 68% and 48% of recordings, respectively. The pAEDs had 87.6% (95% CI 83.7% to 91.0%) sensitivity and 99.5% (99.5% to 99.5%) specificity for defibrillating shockable rhythms (positive predictive value 98.2% (96.4% to 99.0%), negative predictive value 96.4% (95.3% to 96.8%)). The absence of important variables prevented the analysis of approximately half of the inappropriate decisions made by pAEDs. Collection of pAED recordings is a major challenge. Their analysis is compromised by heterogeneity and poor quality (incomplete maintenance records, patient details and logs). AED recordings are currently the most relevant resource to track pAED performance and bystander practices. The quality of these recordings needs to improve.

Sections du résumé

BACKGROUND BACKGROUND
Western countries report a significant increase in the proportion of patients who experience out-of-hospital cardiac arrests (OHCAs) and benefit from a public automated external defibrillator (pAED) before the arrival of rescue teams. However, recordings of devices recovered after resuscitation are of variable quality. Analysis of these data may inform decisions of whether to implement an internal defibrillator for survivors, and provide useful information about the performance of pAED algorithms and the actions of bystanders.
OBJECTIVE OBJECTIVE
To investigate the quality of the information recorded by pAEDs during OHCAs in the Paris area.
METHODS METHODS
pAED files used for some of the 8629 OHCAs that occurred in the greater Paris area between 1 January 2017 and 31 April 2019 on the day of the arrest were collected. The presence and accuracy of 23 factors required to interpret the recording was noted, including readability of the ECG, the presence of an impedance curve and the accuracy of the date and time. The recordings were analysed to assess the diagnostic and therapeutic performance of the pAEDs used.
RESULTS RESULTS
A total of 258 patients with an OHCA received assistance from a pAED, and 182 recordings were recovered. The pAEDs were made by 12 different manufacturers. Data extraction required eight different transmission modes and 16 software programmes; recordings were of highly heterogeneous quality. Two per cent of the recordings were of such poor quality that they were not interpretable. Among the 98% remaining, only 43% included a thoracic impedance curve, 34% the intensity of the shocks delivered and 8% the patient name. The date and time were accurate in 68% and 48% of recordings, respectively. The pAEDs had 87.6% (95% CI 83.7% to 91.0%) sensitivity and 99.5% (99.5% to 99.5%) specificity for defibrillating shockable rhythms (positive predictive value 98.2% (96.4% to 99.0%), negative predictive value 96.4% (95.3% to 96.8%)). The absence of important variables prevented the analysis of approximately half of the inappropriate decisions made by pAEDs.
CONCLUSION CONCLUSIONS
Collection of pAED recordings is a major challenge. Their analysis is compromised by heterogeneity and poor quality (incomplete maintenance records, patient details and logs). AED recordings are currently the most relevant resource to track pAED performance and bystander practices. The quality of these recordings needs to improve.

Identifiants

pubmed: 32878960
pii: emermed-2019-209371
doi: 10.1136/emermed-2019-209371
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

623-628

Informations de copyright

© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Clément Derkenne (C)

Emergency Medical Department, Paris Fire Brigade, Clamart, France clement.derkenne@gmail.com.

Daniel Jost (D)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Pierre Alexandre Haruel (PA)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Romain Kedzierewicz (R)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Benoit Frattini (B)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Lemoine Frédéric (L)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Pascal Diegelmann (P)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Jeremy Gouze (J)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Florian Roquet (F)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Stéphane Travers (S)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Rene Bihannic (R)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.

Bertrand Prunet (B)

Emergency Medical Department, Paris Fire Brigade, Clamart, France.
French Military Health Service, Val de Grâce Military Academy, Paris, France.

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