Identification of Ventricular Fibrillation and Optimization of Defibrillation During CPR (IVFOD)

Henan University of Science and Technology

Status: Unknown

Conditions: Identify of Electrocadiac Rhythm; Cardiac Arrest

Study type: Observational

Funder types: Other

Identifiers

NCT02952105

UST20161009

Details and patient eligibility

About

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.

Enrollment: 90 estimated patients

Sex: All

Ages: 14+ years old

Volunteers: No 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

Trial design

90 participants in 2 patient groups

defibrillation patients

Description:

shockable rhythm, defibrillated

non defibrillation patients

Description:

non-shockable rhythm, non defibrillated