PP11 A cluster randomised controlled feasibility trial of prehospital optimal shock energy for defibrillation (POSED)

<h3>Background</h3> Despite defibrillation being proven to increase patients’ chances of survival following out-of-hospital cardiac arrest (OHCA) with shockable rhythm, the best shock energies are unknown. Literature comprises studies with outdated resuscitation protocols and a variety of endpoints. We explored the feasibility of a trial of optimal shock energy for OCHA. Our primary objective was to establish the number of eligible and recruited patients; secondary outcomes were adherence and data completeness. <h3>Methods</h3> We conducted a three-arm parallel group cluster randomised controlled trial in South Central ambulance service. Adult patients in OHCA treated for a shockable rhythm were included. Zoll X series defibrillators (clusters) were randomised to deliver 120–150–200 J, 150–200–200 J, or 200–200–200 J shock strategies. <h3>Results</h3> Between March 2022 and February 2023, we randomised 38 eligible patients (120–150–200 J (n = 12), 150–200–200 J (n = 10), 200–200– 200 J (n = 16)). The recruitment rate (cluster/month) was 0.07 . Treatment adherence was 93% and completeness of secondary outcomes was 86%. At 30 days, 3/36 (8.3%) patients survived. Due to the limited data storage on defibrillators, the window of opportunity for data collection was short. Data collection was challenging when defibrillators became separated from their allocated vehicles. <h3>Conclusion</h3> We demonstrated the feasibility of a cluster randomised controlled trial of optimal shock energy for defibrillation in a UK ambulance service. We identified strategies that would aid data collection. The location of study defibrillators could be monitored using Bluetooth tracking or radio frequency identification (RFID) scanning. Remote upload to a data repository or download to a USB device at the end of each shift would help to ensure that defibrillator data were obtained before being overwritten.

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Journal
Poster presentations
Published
2024-12-01
DOI
https://doi.org/10.1136/emermed-2024-999.11
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
Field-Weighted Citation Impact
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article

PP11 A cluster randomised controlled feasibility trial of prehospital optimal shock energy for defibrillation (POSED)

Helen Pocock, Catherine Hill, Felix Michelet, Ranjit Lall et al.
Poster presentations
Cardiac Arrest and Resuscitation
article

PP11 A cluster randomised controlled feasibility trial of prehospital optimal shock energy for defibrillation (POSED)

Helen Pocock, Catherine Hill, Felix Michelet, Ranjit Lall, Martina Brown, Deb Smith, Isabel Rodriguez-Bachiller, Gavin D. Perkins, Kath Starr, Charles D. Deakin, Chu Sun, Jeskaran Rai
article en

Abstract

<h3>Background</h3> Despite defibrillation being proven to increase patients’ chances of survival following out-of-hospital cardiac arrest (OHCA) with shockable rhythm, the best shock energies are unknown. Literature comprises studies with outdated resuscitation protocols and a variety of endpoints. We explored the feasibility of a trial of optimal shock energy for OCHA. Our primary objective was to establish the number of eligible and recruited patients; secondary outcomes were adherence and data completeness. <h3>Methods</h3> We conducted a three-arm parallel group cluster randomised controlled trial in South Central ambulance service. Adult patients in OHCA treated for a shockable rhythm were included. Zoll X series defibrillators (clusters) were randomised to deliver 120–150–200 J, 150–200–200 J, or 200–200–200 J shock strategies. <h3>Results</h3> Between March 2022 and February 2023, we randomised 38 eligible patients (120–150–200 J (n = 12), 150–200–200 J (n = 10), 200–200– 200 J (n = 16)). The recruitment rate (cluster/month) was 0.07 . Treatment adherence was 93% and completeness of secondary outcomes was 86%. At 30 days, 3/36 (8.3%) patients survived. Due to the limited data storage on defibrillators, the window of opportunity for data collection was short. Data collection was challenging when defibrillators became separated from their allocated vehicles. <h3>Conclusion</h3> We demonstrated the feasibility of a cluster randomised controlled trial of optimal shock energy for defibrillation in a UK ambulance service. We identified strategies that would aid data collection. The location of study defibrillators could be monitored using Bluetooth tracking or radio frequency identification (RFID) scanning. Remote upload to a data repository or download to a USB device at the end of each shift would help to ensure that defibrillator data were obtained before being overwritten.

Poster presentations
University Hospitals Birmingham NHS Foundation Trust (GB), Warwick Hospital (GB), University Hospital Southampton NHS Foundation Trust (GB), South Western Ambulance Service NHS Foundation Trust (GB)
Affordable and clean energy
Openalex Percentile: Top 60%
Cardiac Arrest and Resuscitation
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