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CompletedNCT04691089DEFI-2022Updated May 30, 2024

Cardiopulmonary Resuscitation Performance of Professional Rescuers With a New Defibrillation Algorithm

An observational study in Cardiac Arrest, Sudden, Ventricular Tachycardia and Ventricular Fibrillation, sponsored by French Defence Health Service. Completed at 1 site in France. Open to participants aged 12 Years and older. Per ClinicalTrials.gov, last updated 2024-05-30.

Sponsored by French Defence Health Service · Observational

Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
285
Ages
12 Years and older
Sex
All
01

Study summary

In the Paris (France) Medical Emergency system, in the early phase of Out-of-hospital Cardiac Arrest (OHCA), the treatment of a Ventricular Fibrillation (VF) consists of delivering an External Electric Shock (EES) by a rescuer with the use of an Automated External Defibrillator (AED). This latter realizes a cardiac rhythm analysis every two minutes. This analysis requires that chest compressions (CC) be interrupted for a while. However, CC interruptions are potentially harmful due to the brain, and heart perfusions decrease.

On the other hand, the recurrence of VF occurs mostly during the first minute after the shock, whereas the delay between 2 rhythm analysis is 2 minutes. The consequence is excessive time spent in VF, which is deleterious in terms of coronary and cerebral perfusion.

The investigator implements a new AED algorithm whose operating principle is as follows. One minute after an EES administration, the AED realizes a cardiac rhythm analysis during which the rescuers do not need to interrupt the chest compressions (CC): this is called the rhythm analysis " in presence of CC" The detection of a VF " in presence of CC " needs to be confirmed, " in absence of CC " The CC's are therefore interrupted for new rhythm analysis. Once the presence of VF is approved, the AED proposes a shock to be administred

The aim of the study

Study Design:

This is a prospective observational study.

The eligibility criteria are as follows:

  • Patients in Out-Of-Hospital Cardiac Arrest.
  • Basic Life support care with an AED.

The primary endpoint is the " chest-compression fraction (CCF) " that represents the CPR-time performance during the ten first minutes of BLS care ( or \< 10 min in case of Return Of Spontaneus Circulation (ROSC))

Read the detailed description

BACKGROUND

For Out-Of-Hospital Cardiac Arrest (OHCA) patients suffering from ventricular fibrillation (VF) or ventricular tachycardia (VT), BLS care consists of administering external electric shocks (EES) and cardiopulmonary resuscitation (CPR). However, despite successful defibrillation, VF recurs in 50% of cases. Rescuers are forced to repeat EES as often as needed, without the recommendations specifying a maximum number.

International guidelines recommend a 2-min CPR time between 2 rhythm analysis, that means one shock every 2 min. Since refibrillation occurs mostly during the first-minute post-shock, the patient will have to wait until the end of the 2 minutes before receiving the next EES. During that time, the chest compressions (CC) provide a reduced fraction of physiologic blood flow.

The new AED algorithm provides the following changes :

  • After a 60-second post-shock CPR-period, the AED performs an analysis "in presence of CC" i.e., without CC interruption is performed.
  • Each time the AED detects a VF "in presence of CC" the algorithm requires the CC to be interrupted to perform an analysis "in absence of CC " to confirm the rhythm shockability.
  • Analyses "in presence of CC" are triggered every minute, possibly followed or not by an analysis " in absence of CC "
  • at least, the algorithm performs an analysis " in absence of CC " systematically every 2 minutes.

This new algorithm fits in between two historical CPR algorithms used in western medical systems - the one-minute and the two-minute CPR cycle- depending on the rhythm shockability detected " in presence of CC "

OBJECTIVES

The main objective is to measure the " CC fraction " during the ten first minutes of Fire Fighter BLS care in OHCA.

The secondary objectives :

  1. Report on the available CPR quality parameters (CC frequency, hands-off maximum).
  2. Report on the AED's diagnostic performance when analyzing the rhythm "in presence of CC "
  3. Report on the AED's diagnostic performance when analyzing the rhythm " in absence of CC "
  4. Report on the overall AED's diagnostic performance that results from the combination of two consecutive analyses " in presence of CC " and " in absence of CC"
  5. Report on post-shock rhythms and their incidence
  6. Report on the number of EES per patient
  7. Report on the time distribution for the shocks administered per-patient to describe the rhythmic storm.
  8. Report on the incidence of Return Of Spontaneous Circulation (ROSC), survival at hospital admission, and survival at hospital discharge.
  9. Compare these reports to a historical cohort (2017).

METHOD

This is a prospective observational study.

  • The observation window is limited to CPR cycles within the first 10 minutes of BLS care, or less if ROSC is presumed.
  • The choice of 10 minutes is intended to observe the BLS team's action, without interfering with the ALS team that arrives later.
  • The three following criteria define a presumptive ROSC:
    1. presence of QRS complexes of broadly similar morphology
    1. synchronous impedance curve variation with the QRS complexes (indicating intrathoracic movement, in that case, cardiac mechanical activity)
    1. no on-going CC
  • A CPR cycle is defined by the delay between two " in absence of CC " analyses.

The study does not imply any change in current practice. There is no planned interim analysis.

All consecutive participants with inclusion criteria and no exclusion criteria will be analyzed.

STUDY SIZE

The sample size was calculated to perform a non-inferiority analysis first, followed by a superiority test if non-inferiority was demonstrated.

Non-inferiority test. The formula for calculating the required sample size in each group is based on a well-established statistical methodology designed for comparing two means in the context of a non-inferiority test.

n = ((Z α/2 + Z β)2 X (σ12 + σ22)) / (μ1- μ2 - δ)2

With:

  • Sample size (n): the number of subjects required in each group.
  • α risk: Initially set at 0.025, this value is adjusted to account for multiple hypothesis testing by applying the Bonferroni correction.
  • Power 1- β: Established at 90%
  • Expected mean difference: This value is set to zero for this study.
  • σ (Standard Deviation): The value for each group has been set to 17.
  • δ (Non-Inferiority Margin): This margin is set at 5, an arbitrary value considered the maximal loss of effect (inferiority) that would be clinically acceptable when comparing CCF 2021 with CCF 2017

After the calculations, the required sample size was 208 subjects for each group involved in the non-inferiority testing.

Superiority test. Should the non-inferiority hypothesis not be rejected, the study design allows for a subsequent superiority test to be conducted.

For superiority, the investigators use the formula :

n = ((Z α/2 + Z β)2 X (σ12 + σ22)) / (μ1- μ2)2

With:

  • Z α/2 : the Z value for an alpha/2 significance level
  • Z β : the Z value for a 1-beta power
  • σ12 and σ22 : the variances of the two groups
  • μ1 and μ2 : the means of the two groups.

For α risk = 0.025 (Bonferroni correction), a power established at 90%, a standard deviation of 17, and a detectable difference between the two groups of 5%, the required sample size was 256 subjects for each group involved in the superiority testing. (STATA : sampsi 65 70 ,SD(17) alpha(0.025)) To account for a 10% loss of subjects, the number of patients was increased to 282, rounded up to 285 per group, i.e., a total of 570 patients.

To observe 285 shockable patients, the investigators estimate the observation time required to be one year.

Note that this same number of patients will be sufficient to detect an absolute 10% difference with an alpha risk of 5% and a power of 90%, between patients in the "2017" group and patients in the "2020" group with regard to the secondary endpoint "Survival at hospital admission"

INTERRUPTION OR STOPPING OF THE STUDY

The sponsor has the responsibility to report, to the national health authority, any serious and unexpected adverse events attributable to the new AED algorithm.

RISKS

A full report on the risks, the description of incidents, accidents and adverse events will be the subject of a chapter in the results section and also in the discussion.

FINANCING

Funding for the study is provided by the Paris Fire Brigade (promoter, following acceptance of the survey under French policy for clinical research projects)

DISCUSSION

The study will report on the CC fraction of an AED algorithm designed to analyze "under CC."

02

Conditions studied

  • Cardiac Arrest, Sudden
  • Ventricular Tachycardia
  • Ventricular Fibrillation
  • Sudden Cardiac Death

Keywords

  • Cardiac Arrest
  • Automatic External Defibrillator
  • Chest Compression Fraction
  • Electrical Cardiac Analysis under Chest Compressions
03

In context

Heart Arrest

966 studies on the registry are indexed under Heart Arrest; 226 are open to participants now.

This study's enrollment of 285 is above the median of 200 across 382 observational studies indexed under Heart Arrest.

Browse Heart Arrest studies →

Lead sponsor

French Defence Health Service is the lead sponsor of 4 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
12 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Medical OHCA patients of the greater Paris (Paris, Haut-de-Seine, Seine-Saint-Denis and Val- de-Marne Country)

Inclusion criteria

-Non-traumatic OHCA in adults, treated by a BLS team and connected to an AED equipped either with the 2017 or with the 2020 algorithm.

Exclusion criteria

Exclusion Criteria:

  • Use of AED in a pediatric mode
  • CPR administered in 15:2 mode
  • Patient already connected to another defibrillator at the arrival of the BLS Team
  • No shock advised by defibrillator at first analysis
  • Patient with a pacemaker

Secondary Exclusion Criteria

  • Surviving patients' opposition to the use of their data.
  • Patients with unreadable electrocardiographic or impedance data.
05

Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
285 participants (actual)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Report on Chest Compression Fraction (CCf)

    CCf is the length of time the patient receives chest compression/management time (describe as a %)

    Time frame: 10 minutes

Secondary outcomes

  1. Report on Cardiopulmonary Resuscitation (CPR) parameters : CPR ratio

    CPR ratio (time during which the patient receives chest compression and bag ventilation / total management time; describe as a %)

    Time frame: 10 minutes

  2. Report on Cardiopulmonary Resuscitation (CPR) parameters :Prompt CPR fraction

    Prompt CPR fraction (duration between the two AED announcements "resume massage" and "interrupt massage"/ total management time; describe as a %)

    Time frame: 10 minutes

  3. Report on Cardiopulmonary Resuscitation (CPR) parameters:Maximal Hands-Off time

    Maximal Hands-Off time (longest time frame without any CC; describe in seconds)

    Time frame: 10 minutes

  4. Report on Cardiopulmonary Resuscitation (CPR) parameters:Chest Compression Frequency

    Chest Compression Frequency (i.e., measurement of the mobile frequency over 3 to 5 compressions; describe as number of chest compressions by minute)

    Time frame: 10 minutes

  5. Report on the diagnostic performance of the AED algorithms "during CC" and " in absence of CC"

    Calculate Sensibility and Specificity

    Time frame: 10 minutes

  6. Report on the overall diagnostic performance resulting from the combination of the consecutive analyses " in presence of CC " and " in absence of CC"

    Calculate Sensibility and Specificity

    Time frame: 10 minutes

  7. Report on five-second-post-shock rhythms and their incidence

    asystole, pulseless electrical activity, ventricular tachycardia, ventricular fibrillation for "in absence of CC" analysis, at 5 seconds

    Time frame: 10 minutes

  8. Report on 60-second-post-shock rhythms and their incidence

    asystole, pulseless electrical activity, ventricular tachycardia, ventricular fibrillation for "in absence of CC" analysis, at 60 seconds

    Time frame: 10 minutes

  9. Report on 120 second-post-shock rhythms and their incidence

    asystole, pulseless electrical activity, ventricular tachycardia, ventricular fibrillation for "in absence of CC" analysis, at 120 seconds

    Time frame: 10 minutes

  10. Report on 15-second-post-shock rhythms and their incidence

    asystole, pulseless electrical activity, ventricular tachycardia, ventricular fibrillation for "in absence of CC" analysis, at 15 seconds

    Time frame: 10 minutes

  11. Report on 30-second-post-shock rhythms and their incidence

    asystole, pulseless electrical activity, ventricular tachycardia, ventricular fibrillation for "in absence of CC" analysis, at 30 seconds

    Time frame: 10 minutes

  12. Report on the number of electrical shocks (EES) delivered and the duration of the rhythmic storm

    Total number of EES delivered (describe as a number)

    Time frame: 1 hour

  13. Report on the number of electrical shocks (EES) intended and the duration of the rhythmic storm

    Ratio "number of EES intended / number of EES delivered" (describe as a ratio %)

    Time frame: 1 hour

  14. Report on the temporal distribution of electrical shocks (EES) and the duration of the rhythmic storm

    EES temporal distribution per patient

    Time frame: 1 hour

  15. Report on the delay from start to end of cumulative VF episodes

    The time period from the start of the first occurence of VF to to the ending of the last episode of ventricular fibrillation (VF) ( seconds)

    Time frame: 1 hour

  16. The time period from the AED-switch-on and the first EES (describe in seconds)

    The time period from the AED-switch-on and the first EES (describe in seconds)

    Time frame: 1 hour

  17. The distribution over time of EES.

    The distribution over time of EES.

    Time frame: 1 hour

  18. Outcomes - ROSC

    Return Of Spontaneous Circulation (ROSC) (describe as a ratio of patients with ROSC / patients included)

    Time frame: 2 hours

  19. Outcomes - admitted alive at hospital

    Survival to hospital admission (describe as a ratio of patients admitted beating heart to hospital / patients included)

    Time frame: 2 hours

  20. Outcomes - discharged from hospital

    Survival at hospital discharge (describe as a ratio of patients discharged alive from hospital / patients included)

    Time frame: 1 month

  21. Compare Chest Compression Fraction (CCf) to Paris Fire Brigade 2017 historical data

    CCf is the length of time the patient receives chest compression/management time (describe as a %)

    Time frame: 10 minutes

  22. Prompt CPR fraction (duration between the two AED announcements "resume massage" and "interrupt massage"/ total management time; describe as a %)

    Prompt CPR fraction (duration between the two AED announcements "resume massage" and "interrupt massage"/ total management time; describe as a %)

    Time frame: 10 minutes

  23. CPR ratio (time during which the patient receives chest compression and bag ventilation / total management time; describe as a %)

    CPR ratio (time during which the patient receives chest compression and bag ventilation / total management time; describe as a %)

    Time frame: 10 minutes

  24. Maximal Hands-Off time (longest time frame without any CC; describe in seconds)

    Maximal Hands-Off time (longest time frame without any CC; describe in seconds)

    Time frame: 10 minutes

  25. Chest Compression Frequency (i.e., measurement of the mobile frequency over 3 to 5 compressions; describe as number of chest compressions by minute)

    Chest Compression Frequency (i.e., measurement of the mobile frequency over 3 to 5 compressions; describe as number of chest compressions by minute)

    Time frame: 10 minutes

  26. Compare Sensibility and Specificity of AED algorithm "during CC" and "in absence of CC" to 2017 algorithm Sensibility and Specificity

    Compare Sensibility and Specificity of AED algorithm "during CC" and "in absence of CC" to 2017 algorithm Sensibility and Specificity

    Time frame: 10 minutes

  27. Compare the overall diagnostic performance resulting from the combination of the consecutive analyses " in presence of CC " and " in absence of CC" to Paris Fire Brigade 2017 historical data

    Compare the overall diagnostic performance resulting from the combination of the consecutive analyses " in presence of CC " and " in absence of CC" to Paris Fire Brigade 2017 algorithm Sensibility and Specificity

    Time frame: 10 minutes

  28. Compare post-shock rhythms and their incidence to Paris Fire Brigade 2017 historical data

    Compare asystole, pulseless electrical activity, ventricular tachycardia, ventricular fibrillation incidence for "in presence of CC" analysis, at 5 seconds to Paris Fire Brigade 2017 differents rhythms incidences.

    Time frame: 10 minutes

  29. Compare post-shock rhythms and their incidence to Paris Fire Brigade 2017 historical data

    Compare asystole, pulseless electrical activity, ventricular tachycardia, ventricular fibrillation incidence for "in absence of CC" analysis, at 60 seconds to Paris Fire Brigade 2017 differents rhythms incidences.

    Time frame: 10 minutes

  30. Compare post-shock rhythms and their incidence to Paris Fire Brigade 2017 historical data

    Compare asystole, pulseless electrical activity, ventricular tachycardia, ventricular fibrillation incidence for "in absence of CC" analysis, at 120 seconds to Paris Fire Brigade 2017 differents rhythms incidences.

    Time frame: 10 minutes

  31. Compare post-shock rhythms and their incidence to Paris Fire Brigade 2017 historical data

    Compare asystole, pulseless electrical activity, ventricular tachycardia, ventricular fibrillation incidence for "in absence of CC" analysis, at 5 seconds to Paris Fire Brigade 2017 differents rhythms incidences.

    Time frame: 10 minutes

  32. Compare number of electrical shocks (EES) and the duration of the rhythmic storm to Paris Fire Brigade 2017 historical data

    Total number of EES delivered (describe as a number) compare to Paris Fire Brigade 2017 historical data

    Time frame: 10 minutes

  33. Compare number of electrical shocks (EES) and the duration of the rhythmic storm to Paris Fire Brigade 2017 historical data

    EES temporal distribution per patient compare to Paris Fire Brigade 2017 historical data

    Time frame: 10 minutes

  34. Compare number of electrical shocks (EES) and the duration of the rhythmic storm to Paris Fire Brigade 2017 historical data

    The time period from the start of the first to the end of the last ventricular fibrillation (VF) episode (describe in seconds) compare to Paris Fire Brigade 2017 historical data

    Time frame: 10 minutes

  35. Compare number of electrical shocks (EES) and the duration of the rhythmic storm to Paris Fire Brigade 2017 historical data

    The time period from the AED-switch-on and the first EES (describe in seconds) compare to Paris Fire Brigade 2017 historical data

    Time frame: 10 minutes

  36. Compare number of electrical shocks (EES) and the duration of the rhythmic storm to Paris Fire Brigade 2017 historical data

    Compare the distribution over time of EES.to Paris Fire Brigade 2017 historical data

    Time frame: 10 minutes

  37. Outcomes - ROSC

    Compare return Of Spontaneous Circulation (ROSC) to Paris Fire Brigade 2017 historical data (describe as a ratio of patients with ROSC / patients included)

    Time frame: 1 hour

  38. Outcomes - admitted alive at hospital

    Compare survival to hospital admission to Paris Fire Brigade 2017 historical data (describe as a ratio of patients admitted beating heart to hospital / patients included)

    Time frame: 2 hours

  39. Outcomes - hospital discharge

    Compare survival at hospital discharge to Paris Fire Brigade 2017 historical data (describe as a ratio of patients discharged alive from hospital / patients included)

    Time frame: 1 month

07

Study locations

1 site
  • Paris Fire Brigade
    Paris, Non, Merci 75017, France
08

References and documents

Publications

  • Baker PW, Conway J, Cotton C, Ashby DT, Smyth J, Woodman RJ, Grantham H; Clinical Investigators. Defibrillation or cardiopulmonary resuscitation first for patients with out-of-hospital cardiac arrests found by paramedics to be in ventricular fibrillation? A randomised control trial. Resuscitation. 2008 Dec;79(3):424-31. doi: 10.1016/j.resuscitation.2008.07.017. Epub 2008 Nov 4. PubMed 18986748 ↗
  • Berdowski J, ten Haaf M, Tijssen JG, Chapman FW, Koster RW. Time in recurrent ventricular fibrillation and survival after out-of-hospital cardiac arrest. Circulation. 2010 Sep 14;122(11):1101-8. doi: 10.1161/CIRCULATIONAHA.110.958173. Epub 2010 Aug 30. PubMed 20805427 ↗
  • Berdowski J, Tijssen JG, Koster RW. Chest compressions cause recurrence of ventricular fibrillation after the first successful conversion by defibrillation in out-of-hospital cardiac arrest. Circ Arrhythm Electrophysiol. 2010 Feb;3(1):72-8. doi: 10.1161/CIRCEP.109.902114. Epub 2009 Dec 30. PubMed 20042768 ↗
  • Bobrow BJ, Clark LL, Ewy GA, Chikani V, Sanders AB, Berg RA, Richman PB, Kern KB. Minimally interrupted cardiac resuscitation by emergency medical services for out-of-hospital cardiac arrest. JAMA. 2008 Mar 12;299(10):1158-65. doi: 10.1001/jama.299.10.1158. PubMed 18334691 ↗
  • Caffrey SL, Willoughby PJ, Pepe PE, Becker LB. Public use of automated external defibrillators. N Engl J Med. 2002 Oct 17;347(16):1242-7. doi: 10.1056/NEJMoa020932. PubMed 12393821 ↗
  • Cheskes S, Schmicker RH, Christenson J, Salcido DD, Rea T, Powell J, Edelson DP, Sell R, May S, Menegazzi JJ, Van Ottingham L, Olsufka M, Pennington S, Simonini J, Berg RA, Stiell I, Idris A, Bigham B, Morrison L; Resuscitation Outcomes Consortium (ROC) Investigators. Perishock pause: an independent predictor of survival from out-of-hospital shockable cardiac arrest. Circulation. 2011 Jul 5;124(1):58-66. doi: 10.1161/CIRCULATIONAHA.110.010736. Epub 2011 Jun 20. PubMed 21690495 ↗
  • Christenson J, Andrusiek D, Everson-Stewart S, Kudenchuk P, Hostler D, Powell J, Callaway CW, Bishop D, Vaillancourt C, Davis D, Aufderheide TP, Idris A, Stouffer JA, Stiell I, Berg R; Resuscitation Outcomes Consortium Investigators. Chest compression fraction determines survival in patients with out-of-hospital ventricular fibrillation. Circulation. 2009 Sep 29;120(13):1241-7. doi: 10.1161/CIRCULATIONAHA.109.852202. Epub 2009 Sep 14. PubMed 19752324 ↗
  • Fumagalli F, Silver AE, Tan Q, Zaidi N, Ristagno G. Cardiac rhythm analysis during ongoing cardiopulmonary resuscitation using the Analysis During Compressions with Fast Reconfirmation technology. Heart Rhythm. 2018 Feb;15(2):248-255. doi: 10.1016/j.hrthm.2017.09.003. Epub 2017 Sep 14. PubMed 28917561 ↗
  • Gliner BE, White RD. Electrocardiographic evaluation of defibrillation shocks delivered to out-of-hospital sudden cardiac arrest patients. Resuscitation. 1999 Jul;41(2):133-44. doi: 10.1016/s0300-9572(99)00040-4. PubMed 10488935 ↗
  • Hasselqvist-Ax I, Riva G, Herlitz J, Rosenqvist M, Hollenberg J, Nordberg P, Ringh M, Jonsson M, Axelsson C, Lindqvist J, Karlsson T, Svensson L. Early cardiopulmonary resuscitation in out-of-hospital cardiac arrest. N Engl J Med. 2015 Jun 11;372(24):2307-15. doi: 10.1056/NEJMoa1405796. PubMed 26061835 ↗
  • Hu Y, Tang H, Liu C, Jing D, Zhu H, Zhang Y, Yu X, Zhang G, Xu J. The performance of a new shock advisory algorithm to reduce interruptions during CPR. Resuscitation. 2019 Oct;143:1-9. doi: 10.1016/j.resuscitation.2019.07.026. Epub 2019 Aug 1. PubMed 31377393 ↗
  • Jost D, Degrange H, Verret C, Hersan O, Banville IL, Chapman FW, Lank P, Petit JL, Fuilla C, Migliani R, Carpentier JP; DEFI 2005 Work Group. DEFI 2005: a randomized controlled trial of the effect of automated external defibrillator cardiopulmonary resuscitation protocol on outcome from out-of-hospital cardiac arrest. Circulation. 2010 Apr 13;121(14):1614-22. doi: 10.1161/CIRCULATIONAHA.109.878389. Epub 2010 Mar 29. PubMed 20351239 ↗
  • Kerber RE, Becker LB, Bourland JD, Cummins RO, Hallstrom AP, Michos MB, Nichol G, Ornato JP, Thies WH, White RD, Zuckerman BD. Automatic external defibrillators for public access defibrillation: recommendations for specifying and reporting arrhythmia analysis algorithm performance, incorporating new waveforms, and enhancing safety. A statement for health professionals from the American Heart Association Task Force on Automatic External Defibrillation, Subcommittee on AED Safety and Efficacy. Circulation. 1997 Mar 18;95(6):1677-82. doi: 10.1161/01.cir.95.6.1677. PubMed 9118556 ↗
  • Krasteva V, Jekova I, Dotsinsky I, Didon JP. Shock advisory system for heart rhythm analysis during cardiopulmonary resuscitation using a single ECG input of automated external defibrillators. Ann Biomed Eng. 2010 Apr;38(4):1326-36. doi: 10.1007/s10439-009-9885-9. Epub 2010 Jan 13. PubMed 20069371 ↗
  • Roh YI, Jung WJ, Hwang SO, Kim S, Kim HS, Kim JH, Kim TY, Kang HS, Lee JS, Cha KC. Shorter defibrillation interval promotes successful defibrillation and resuscitation outcomes. Resuscitation. 2019 Oct;143:100-105. doi: 10.1016/j.resuscitation.2019.08.022. Epub 2019 Aug 20. PubMed 31442471 ↗
  • Vaillancourt C, Everson-Stewart S, Christenson J, Andrusiek D, Powell J, Nichol G, Cheskes S, Aufderheide TP, Berg R, Stiell IG; Resuscitation Outcomes Consortium Investigators. The impact of increased chest compression fraction on return of spontaneous circulation for out-of-hospital cardiac arrest patients not in ventricular fibrillation. Resuscitation. 2011 Dec;82(12):1501-7. doi: 10.1016/j.resuscitation.2011.07.011. Epub 2011 Jul 18. PubMed 21763252 ↗
  • Affatato R, Li Y, Ristagno G. See through ECG technology during cardiopulmonary resuscitation to analyze rhythm and predict defibrillation outcome. Curr Opin Crit Care. 2016 Jun;22(3):199-205. doi: 10.1097/MCC.0000000000000297. PubMed 27031917 ↗
  • van Alem AP, Post J, Koster RW. VF recurrence: characteristics and patient outcome in out-of-hospital cardiac arrest. Resuscitation. 2003 Nov;59(2):181-8. doi: 10.1016/s0300-9572(03)00208-9. PubMed 14625108 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 30, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04691089
Lead sponsor
French Defence Health Service
Responsible party
Daniel Jost (Principal Investigator, Fire Brigade Of Paris Emergency Medicine Dept) — Principal investigator
First posted
Dec 31, 2020
Start date
Jan 18, 2021
Primary completion
Feb 28, 2022
Completion
Apr 2, 2022
Last update
May 30, 2024

Study contacts

Clément DERKENNE, MD
principal investigator · Paris Fire Brigade

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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