Recognizing Ventricular Fibrillation From an Area of a Mobile Phone

March 22, 2016 updated by: Sakari Syvaoja, North Karelia Central Hospital

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.

Study Overview

Status

Completed

Detailed Description

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.

Study Type

Observational

Enrollment (Actual)

22

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Joensuu, Finland, 80210
        • North Karelia Central Hospital
      • Kuopio, Finland, 70211
        • Kuopio University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with severe dysrhytmia and the necessity to an implantable cardioverter defibrillator (ICD)

Description

Inclusion Criteria:

  • age over 18
  • ventricular fibrillation will be induced during the implantation or revision of ICD
  • patient's informed consent

Exclusion Criteria:

  • ventricular fibrillation will not be induced during the implantation or revision of ICD

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
ICD-patients
Patients to whom cardiac fibrillation will be induced during the implantation of an implantable cardioverter defibrillator (ICD) or patients with an already implanted ICD, which function needs to be revised and during the revision cardiac defibrillation will be induced.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The ability of AED to recognise induced VF
Time Frame: 24 hours
The ability of AED to correctly recognise ventricular fibrillation from a bipolar ECG recorded within an area of mobile phone: is the recognition good enough to automatically divide the rhythm correctly into categories of shockable and non-shockable?
24 hours

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Quality of VF
Time Frame: 24 hour
The recorded rhythms will be analysed, beside an AED, by two experienced cardiologists and categorised as shockable or non-shockable. The cardiologists also will assess the quality of the recordings and grade each recording according to three categories of quality: 1, bad; 2, average; 3, good.
24 hour

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Helena Jäntti, MD, PhD, Kuopio University Hospital
  • Principal Investigator: Sakari Syväoja, MD, North Karelia Central Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

November 1, 2013

Primary Completion (Actual)

March 1, 2016

Study Completion (Actual)

March 1, 2016

Study Registration Dates

First Submitted

March 27, 2013

First Submitted That Met QC Criteria

March 31, 2013

First Posted (Estimate)

April 4, 2013

Study Record Updates

Last Update Posted (Estimate)

March 23, 2016

Last Update Submitted That Met QC Criteria

March 22, 2016

Last Verified

March 1, 2016

More Information

Terms related to this study

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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