Identification of Ventricular Fibrillation and Optimization of Defibrillation During CPR

Cardiac Arrest Clinical Trial

— IVFOD  

Official title:

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

Clinical Trial Details — Status: Enrolling by invitation

Administrative data

• NCT number: NCT02952105
• Other study ID #: UST20161009
• Status: Enrolling by invitation
• Phase: N/A
• First received: October 30, 2016
• Last updated: November 1, 2016
• Start date: April 2016
• Est. completion date: May 2018

Study information

• Verified date: October 2016
• Source: The First Affiliated Hospital of Henan University of Science and Technology
• Contact: n/a
• Is FDA regulated: No
• Health authority: China: Health and Family Planning Commission of Henan Province
• Study type: Observational

Clinical Trial 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.

Recruitment information / eligibility

• Status: Enrolling by invitation
• Enrollment: 90
• Est. completion date: May 2018
• Est. primary completion date: October 2017
• Accepts healthy volunteers: No
• Gender: Both
• Age group: 14 Years and older

Eligibility

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

Observational Model: Case-Only, Time Perspective: Prospective

Related Conditions & MeSH terms

• Cardiac Arrest
• Heart Arrest
• Identify of Electrocadiac Rhythm
• Ventricular Fibrillation

Locations

Country	Name	City	State
China	The First Affiliated Hospital of Henan University of Science and Technology	Luoyang	Henan

Sponsors (3)

Lead Sponsor	Collaborator
The First Affiliated Hospital of Henan University of Science and Technology	Jinhua Central Hospital, Peking Union Medical College Hospital

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Sensitivity and specificity of Sherlock algorithm of Philips MRx monitor/defibrillator in identify ventricular fibrillation.		04/10/2016-10/01/2017	Yes
Primary	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	Yes
Primary	Comparasion of no-flue time between true scene and assumed scene that useing Sherlock algorithm.		04/10/2016-10/01/2017	Yes