Identification of Ventricular Fibrillation and Optimization of Defibrillation During CPR

Identification of Ventricular Fibrillation and Optimization of Defibrillation During Chest Compression of CPR: A Multiple Study of Cardiac Arrest Patients in China.

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT02952105

Acronym

IVFOD

Enrollment

Registered

2016-11-02

Start date

2016-04-30

Completion date

2018-05-31

Last updated

2016-11-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiac Arrest, Identify of Electrocadiac Rhythm

Keywords

cardiac arrest, identify of electrocardiac rhythm, ventricuar fibrillation, defibrillation

Brief summary

It's so important to recognize ventricular fibrillation in cardiac arrest and defibrillation early. At the same time Research findings have identified high-quality CPR with minimum interruption is critical to the success of defibrillation therapy. Both the guidelines by American Heart Association and the guidelines by European Resuscitation Council emphasize the importance of minimizing interruptions in chest compressions, specifically, duration of the pre-shock and post-shock pauses. So AHA indicate that there will be a new algorithm of VF during chest compression, which has high sensitivity and specificity. And the investigators can identify VF and defibrillate earlier. The aim of this study is to verify that if Sherlock algorithm of Philips MRx monitor/defibrillator can identify shockable rhythms during chest compression accurately.

Interventions

None listed

Study design

Observational model

CASE_ONLY

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

14 Years to No maximum

Healthy volunteers

Inclusion criteria

1. Cardiac arrest patients 2. The length from cardia arrest to be rescued is less than 10 minutes 3. age≥14 4. Complied with ethical requirements 5. signing the informed consent form.

Exclusion criteria

1. DNR 2. Pregnant women

Design outcomes

Primary

Measure	Time frame
Sensitivity and specificity of Sherlock algorithm of Philips MRx monitor/defibrillator in identify ventricular fibrillation.	04/10/2016-10/01/2017
How long it is advanced that the first time Sherlock algorithm identified VF than the true time VF was recognized.	04/10/2016-10/01/2017
Comparasion of no-flue time between true scene and assumed scene that useing Sherlock algorithm.	04/10/2016-10/01/2017

Countries

China

Outcome results