Ventricular Fibrillation Clinical Trial
Official title:
Recognizing Ventricular Fibrillation From an Area of a Mobile Phone
Recognition of out of hospital cardiac arrest (OHCA) during an emergency call is based on
standardized questions concerning the symptoms of OHCA. With this method cardiac arrest is
recognized in 50-83% of cases. When the emergency medical dispatcher identifies cardiac
arrest during the emergency call the survival of the patient improves. Accurate emergency
medical service response is activated promptly and bystander will receive cardiopulmonary
resuscitation (CPR) instructions. It has been estimated that proper implementation of CPR
instructions will save thousands of lives each year.
If the ECG could be recorded by the mobile phone, transmitted during the emergency call to
the dispatch centre and analysed there with the software of a semi-automated external
defibrillator(AED), the recognition of cardiac arrest could be more accurate.
The aim of this study is to examine, if AED, with minimal size electrodes within an area of
a mobile phone, is able to recognize reliably ventricular fibrillation (VF), the rhythm with
the best prognosis in OHCA.
Dysrhythmia patients who need an implantable cardioverter defibrillator(ICD) or patients with an already implanted ICD which function needs to be revised will be recruited into this study. Our hypothesis is that the ECG and VF is recordable in 100% of cases with a semi-automatic defibrillator. In sample size calculations we compared this 100% recognition to the present situation with 80% recognition of cardiac arrest in emergency medical communication centre during emergency call. According to the power calculation of 1-sided binomial test with risk level 0.05 and power of 95 %, 22 observations is needed to detect difference between expected full successes (99 %) from the previous 80 % of successes in recognition. ;
Observational Model: Case-Only, Time Perspective: Prospective
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