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Identification of Ventricular Fibrillation and Optimization of Defibrillation During CPR

NCT ID: NCT02952105

Last Updated: 2016-11-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

90 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-04-30

Study Completion Date

2018-05-31

Brief Summary

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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

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Conditions

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Cardiac Arrest Identify of Electrocadiac Rhythm

Keywords

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cardiac arrest identify of electrocardiac rhythm ventricuar fibrillation defibrillation

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

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defibrillation patients

shockable rhythm, defibrillated

No interventions assigned to this group

non defibrillation patients

non-shockable rhythm, non defibrillated

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

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

Exclusion Criteria

1. DNR
2. Pregnant women
Minimum Eligible Age

14 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Peking Union Medical College Hospital

OTHER

Sponsor Role collaborator

Jinhua Central Hospital

OTHER

Sponsor Role collaborator

The First Affiliated Hospital of Henan University of Science and Technology

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Xuezhong Yu, Doctor

Role: STUDY_CHAIR

Peking Union Medical College Hospital

Guoxiu Zhang, Bachelor

Role: STUDY_DIRECTOR

The First Affiliated Hospital of Henan University of Science and Technology

Mingwei Huang, Bachelor

Role: STUDY_DIRECTOR

Jinhua Central Hospital

Locations

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The First Affiliated Hospital of Henan University of Science and Technology

Luoyang, Henan, China

Site Status

Countries

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China

Other Identifiers

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UST20161009

Identifier Type: -

Identifier Source: org_study_id