The Feasibility Study of Recognition of Cardiac Arrest Using a Smart Watch

NCT ID: NCT02866188

Last Updated: 2016-08-15

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

50 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-08-31

Study Completion Date

2016-12-31

Brief Summary

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In this study, we want to find out whether the recognition of cardiac arrest using a smart watch is feasible or not. If this idea is possible, the recognition of cardiac arrest using the smart watch is easy and fast to the witness, like a general person. By using the smart watch, the emergency response system for cardiac arrest and the bystander CPR or BLS is beginning earlier than using conventional cardiac arrest recognition method in field.

Detailed Description

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In Korea, an out-of-hospital cardiac arrest (OHCA) was occurred twenty thousand person per year, and among them sixty percent was occurred in their home. We already knew that a survivor rate and neurological outcome of OHCA patient has a close relation with initial emergency management in field, like a bystander cardiopulmonary resuscitation (CPR), Basic Life Support (BLS), etc. However, in Korea, a witness almost did not the bystander CPR or BLS in field until highly trained rescuers arrived there. So, total survivor rate is just 2.4 % irrespective of neurologic outcome in Korea.

Generally, in Korea, a beginning of the bystander CPR progress throughout dispatcher's instruction of emergency response system. This system for OHCA patient activate only when the witness recognize cardiac arrest and call the emergency response system. Therefore, cardiac arrest recognition by the witness is very important.

However, a conventional recognition of cardiac arrest in field is often difficult, because there are no monitoring devices, healthcare providers. The conventional recognition method of cardiac arrest is that it is firstly to check mental status, secondly check pulse on patient's carotid artery and self-respiration. This method is too difficult for the witness, especially general persons. Even, it is difficult for an emergency physicians, too.

Consequentially, the recognition of cardiac arrest by the witness is generally delayed, a golden-time is running out until highly trained rescuers arrive there. An average arrival time of highly trained rescuers is eight to ten minutes. A hypoxic brain damage is begin from four minutes after cardiac arrest. As a result, this delayed time is already passed four minutes after cardiac arrest. So, the survivor rate and the neurologic outcome are not good enough.

In this study, we want to find out whether the recognition of cardiac arrest using a smart watch is feasible or not. If this idea is possible, the recognition of cardiac arrest using the smart watch is easy and fast to the witness, like a general person. By using the smart watch, the emergency response system for cardiac arrest and the bystander CPR or BLS is beginning earlier than using conventional cardiac arrest recognition method in field.

Conditions

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Cardiac Arrest

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Interventions

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Check pulse with Smart watch on 3 parts of patient's body surface

Check pulse with smart watch on wrist, carotid artery, and eye of patients in shock or cardiac arrest state.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Over 18 years old
* Shock
* Cardiac arrest

Exclusion Criteria

* Pregnancy
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hanyang University

OTHER

Sponsor Role lead

Responsible Party

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LEE YOON-JE

Emergency physician

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Hanyang University Guri Hospital

Guri-si, Gyeonggi-do, South Korea

Site Status

Countries

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South Korea

Other Identifiers

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SWROCA

Identifier Type: -

Identifier Source: org_study_id

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