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

Completed
Conditions
Out-Of-Hospital Cardiac Arrest
Registration Number
NCT06896006
Lead Sponsor
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
19672
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.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Crude incidence rate2011-01-01 to 2018-12-31

The frequency of new cases of a disease in a given population over a given period of time.

Age standardized incidence rate2011-01-01 to 2018-12-31

Incidence rates after removing the influence of age, and incidence rates normalised by age.

Annual percentage change2011-01-01 to 2018-12-31

Indicates 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.

Secondary Outcome Measures
NameTimeMethod
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