Identification of Ventricular Fibrillation and Optimization of Defibrillation During CPR

• Conditions: Cardiac Arrest; Identify of Electrocadiac Rhythm

• Registration Number: NCT02952105
• Lead Sponsor: The First Affiliated Hospital of Henan University of Science and Technology

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.

Detailed Description

Not available

Study Timeline

• Study Start: 2016-04
• Status Verified: 2016-10
• Study First Submitted: 2016-10-30
• Study First Submitted QC: 2016-11-01
• Last Update Submitted: 2016-11-01
• Study First Posted: 2016-11-02
• Last Update Posted: 2016-11-02
• Primary Completion: 2017-10
• Study Completion: 2018-05

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 90

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

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
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

Trial Locations

Locations (1)

The First Affiliated Hospital of Henan University of Science and Technology; 🇨🇳 Luoyang, Henan, China