An observational study in Cardiac Arrest and Identify of Electrocadiac Rhythm, sponsored by The First Affiliated Hospital of Henan University of Science and Technology. Status unknown at 1 site in China. Open to participants aged 14 Years and older. Per ClinicalTrials.gov, last updated 2016-11-02.
Sponsored by The First Affiliated Hospital of Henan University of Science and Technology · Observational
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.
966 studies on the registry are indexed under Heart Arrest; 227 are open to participants now.
This study's planned enrollment of 90 is below the median of 200 across 383 observational studies indexed under Heart Arrest.
Browse Heart Arrest studies →The First Affiliated Hospital of Henan University of Science and Technology is the lead sponsor of 22 studies on the registry; 8 are open to participants now.
Counted across the registry records on this site, refreshed daily.
cardiac arrest patients aged more than 14 years
Exclusion Criteria:
shockable rhythm, defibrillated
non-shockable rhythm, non defibrillated
Sensitivity and specificity of Sherlock algorithm of Philips MRx monitor/defibrillator in identify ventricular fibrillation.
Time frame: 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.
Time frame: 04/10/2016-10/01/2017
Comparasion of no-flue time between true scene and assumed scene that useing Sherlock algorithm.
Time frame: 04/10/2016-10/01/2017
Plan to share: Undecided
No publications or documents are linked to this record.
This study is status unknown, as verified in Oct 2016. You cannot join it, but the record below documents what was studied.
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The First Affiliated Hospital of Henan University of Science and Technology