Cardiac Arrest Pursuit Trial With Unique Registration and Epidemiologic Surveillance
NCT ID: NCT03700203
Last Updated: 2026-01-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
RECRUITING
5340 participants
OBSERVATIONAL
2017-09-07
2028-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Study Objectives:
1. To identify causes and risk factors of OHCA incidence that are associated with chronic diseases and health behaviors
2. To identify high risk population for OHCA incidence through development of a prediction model
3. To develop novel biomarkers associated with OHCA incidence, survival, and disabilities
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Dispatcher-Activated Neighborhood Access Defibrillation and Cardiopulmonary Resuscitation
NCT02010151
The Effect of a Real-time Audiovisual Feedback System on CPR Quality
NCT03902873
Post-resuscitation Care Registry for Survival From Out-of-hospital Cardiac Arrest
NCT03695718
Evaluation of Efficacy of Online Real-time Home CPR Training Program
NCT05023616
Definition of Hemodynamic Thresholds in Out-of-Hospital Cardiac Arrest
NCT03172468
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Study period: September 2017 to December 2023 (75 months)
Study population: Early cardiac arrest patients aged between 19 and 79 (1,780 cases) and their age-, gender-, and urban/rural area-matched community controls (3,560 cases).
* Cases will be consecutive adult patients with EMS-treated OHCA and transport to the 14 emergency departments of participating hospitals. A prospective OHCA patient cohort will be developed and all survived OHCA cases will be followed at 1-month, 6-month, and 12-month after ED discharge by telephone. During the study period, the investigators aim to recruit a total 1,780 cases (200 cases between September 2017 and August 2018, 600 cases between September 2018 and August 2020, 80 cases between September 2020 and December 2020, and 900 cases between January 2021 and December 2023).
* matched community-based controls (2:1 matching) will be selected from two health screening centers. Controls are those who visit the participating health screening centers for their annual routine physical examinations. During the study period, the investigators aim to recruit a total 3,560 controls (400 controls between September 2017 and August 2018, 1200 controls between September 2018 and August 2020, 160 controls between September 2020 and December 2020, and 1800 controls between January 2021 and December 2023).
Data collection: Following data will be collected for both cases and controls.
* Clinical data: Basic demographic and clinical outcomes will be retrieved from medical records.
* Survey data: Comorbidity, family history of selected diseases, lifestyle behaviors (including smoking, alcohol, physical activity, sleeping, nutrition, marital status, occupation), and history of selected chronic diseases data will be collected.
* Blood samples: The investigators aim to develop both clinical and behavioral (including nutrition, alcohol, and smoking) biomarkers of OHCA. The investigators also plan to further develop OHCA biomarkers using proteomics, genomics, and metabolomics.
* Follow-ups: All survived OHCA cases will be followed-up at 1-month, 6-month, and 12-month after ED discharge and their survival, disability, and quality of life outcomes will be collected by telephone.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
CASE_CONTROL
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Early cardiac arrest patients
Cases will be consecutive adult patients with EMS-treated OHCA and transport to the 14 emergency departments of participating hospitals. A prospective OHCA patient cohort will be developed and all survived OHCA cases will be followed at 1-month and 6-month after ED discharge by telephone. During the study period, the investigators aim to recruit a total 1,780 cases (200 cases between September 2017 and August 2018, 600 cases between September 2018 and August 2020, 80 cases between September 2020 and December 2020, and 900 cases between January 2021 and December 2023).
No interventions assigned to this group
Matched community-based controls
Matched community-based controls (2:1 matching) will be selected from two health screening centers. Controls are those who visit the participating health screening centers for their annual routine physical examinations. During the study period, the investigators aim to recruit a total 3,560 controls (400 controls between September 2017 and August 2018, 1200 controls between September 2018 and August 2020, 160 controls between September 2020 and December 2020, and 1800 controls between January 2021 and December 2023).
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Out-of-hospital-cardiac arrest providing resuscitation at the site and visiting the emergency department of the participating hospital or transporting from another hospital emergency room (EMS-treated OHCA)
* The cardiac arrest event must not have been predicted for 24 hours before the incident
Exclusion Criteria
* Trauma, submersion, poisoning, hanging, suffocation, or other causes of external causes directly contribute to the cardiac arrest
* Patients with a terminal condition known to have no further treatment plans due to malignancy, neurological disease, respiratory disease, rheumatic disease, hematologic disease, renal disease or infectious disease. The terminal condition had to be checked by a doctor or recorded in medical records.
* "Do not have a resuscitation" card or record issued by a doctor.
* Hospice setting at the time of acute cardiac arrest for terminal illness or other reasons.
* pregnant patient
* With a family cannot provide information about patient
* Without a family
* Patients who were transported after admission at the other hospital
* Foreign patients
19 Years
79 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Korean Center for Disease Control and Prevention
OTHER_GOV
Seoul National University Hospital
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Seoul National University Hospital
Seoul, , South Korea
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
References
Explore related publications, articles, or registry entries linked to this study.
Jung E, Ryu HH, Ro YS, Cha KC, Shin SD, Hwang SO. Interactions between Sleep Apnea and Coronary Artery Disease on the Incidence of Sudden Cardiac Arrest: A Multi-Center Case-Control Study. Yonsei Med J. 2023 Jan;64(1):48-53. doi: 10.3349/ymj.2022.0417.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
2017NE330060
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.