Skip to content

Epidemiological Study of Out-of-hospital Cardiac Arrest in Shenzhen

Epidemiological Study of Out-of-hospital Cardiac Arrest in Shenzhen

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06896006
Enrollment
19672
Registered
2025-03-26
Start date
2011-01-01
Completion date
2018-12-31
Last updated
2025-03-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Out-Of-Hospital Cardiac Arrest

Brief summary

The epidemiology of out-of-hospital cardiac arrest (OHCA) is a significant public health issue, and large-sample studies on such events within China are relatively limited. This study utilizes the Utstein model to evaluate and analyze the epidemiological characteristics of OHCA in Shenzhen from 2011 to 2018. By reviewing ambulance dispatch records and prehospital medical records from the Shenzhen Emergency Medical Center between 2011 and 2018, the study analyzed epidemiological characteristics and reported the results. The main indicators of the study include demographic characteristics such as the gender, age, location of occurrence, key time points, vital signs, chief complaints, and diagnoses of the cases. It also covers prehospital emergency treatment processes, including whether bystanders performed CPR, initial electrocardiogram results, intravenous access establishment, use of epinephrine, defibrillation, tracheal intubation, and other interventions, as well as the outcomes of resuscitation.

Interventions

None listed

Sponsors

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 120 Years
Healthy volunteers
No

Inclusion criteria

* Cases with secondary diagnoses containing only the diagnostic keywords cardiac arrest and sudden death

Exclusion criteria

* 1\. Cases with suicide, drowning, advanced cancer, trauma, shock, poisoning, cerebrovascular accidents, etc. 2.Cases with duplicate records for gender, age, time of call, pick-up and drop-off address, and initial diagnosis.

Design outcomes

Primary

MeasureTime frameDescription
Crude incidence rate2011-01-01 to 2018-12-31The frequency of new cases of a disease in a given population over a given period of time.
Age standardized incidence rate2011-01-01 to 2018-12-31Incidence rates after removing the influence of age, and incidence rates normalised by age.
Annual percentage change2011-01-01 to 2018-12-31Indicates the change from one year to the next within a segment at a constant percentage on a log-linear model for evaluating trends within segments.

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026