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

Aim This was a population-based retrospective cohort study of OHCA. This study intends to retrospectively analyze the data of pre-hospital emergency system in Guangzhou for 10 years, explore the incidence trend of OHCA in Guangzhou for 10 years; Through further analysis, we try to explore the time distribution characteristics of OHCA in order to understand the epidemiological characteristics and rules of OHCA in super large cities in southern China.

Methods The pre-hospital traffic data in the main urban area of Guangzhou Emergency Medical Command Center database from 2011 to 2020 were collected. The cases diagnosed as "cardiac arrest" and "sudden death" were screened, and the cases with non-cardiac causes in the diagnosis were deleted. The crude incidence rate and age-standardized incidence rate of OHCA were calculated. Joinpoint software was used to calculate the changing nodes in the OHCA incidence trend, and the AnnualPercent Change (APC) and Average AnnualPercent Change (Average AnnualPercent Change, APC) of OHCA incidence were calculated. AAPC). The OHCA data were grouped according to the six main urban areas, and the crude incidence rate, ASIR and changing trend of the six main urban areas were calculated. The data of OHCA were grouped by age, and the crude incidence rate, ASIR and changing trend of each age group were calculated. The data information was divided into groups according to 24 hours a day, 7 days a week, and four seasons. The number of OHCA cases in different time periods was statistically described. The data were imported into SPSS 26.0 for analysis, and Mann-Kendall test was used to evaluate the statistical significance of the time trend. Time rhythm variability was tested for mean distribution using chi-square goodness of fit test.

Study Overview

Status

Active, not recruiting

Study Type

Observational

Enrollment (Actual)

44375

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

    • 广东省
      • Guangdong, 广东省, China
        • Yu Tao

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Cases in the database with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death".Data were collected from the GZ-EMS Command Centre's dispatch system database of pre-hospital data for the central urban districts of City.

Description

Inclusion Criteria:

Cases in the database with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death"

Exclusion Criteria:

  1. cases where the diagnosis of "cardiac arrest" and "sudden death" includes a diagnosis of a non-cardiac cause such as asphyxiation, suicide, drowning, advanced cancer, trauma, shock, poisoning, cerebral vascular accident, etc;
  2. cases with duplicate records of sex, age, time of call, pick-up address and initial diagnosis

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
Intervention / Treatment
0-19 years age group
Selection of cases with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death"."cardiac arrest" and "sudden death".The incidence rate is then calculated
20-29 years age group
Selection of cases with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death"."cardiac arrest" and "sudden death".The incidence rate is then calculated
30-39 years age group
Selection of cases with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death"."cardiac arrest" and "sudden death".The incidence rate is then calculated
40 to 49 age group
Selection of cases with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death"."cardiac arrest" and "sudden death".The incidence rate is then calculated
50 to 59 age group
Selection of cases with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death"."cardiac arrest" and "sudden death".The incidence rate is then calculated
60 to 69 age group
Selection of cases with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death"."cardiac arrest" and "sudden death".The incidence rate is then calculated
70 to 79 age group
Selection of cases with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death"."cardiac arrest" and "sudden death".The incidence rate is then calculated
80+age group
Age group greater than or equal to 80 years
Selection of cases with a secondary diagnosis containing the diagnostic keywords "cardiac arrest" and "sudden death"."cardiac arrest" and "sudden death".The incidence rate is then calculated

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Crude incidence rate
Time Frame: 2011-01-01 to 2020-12-31
The frequency of new cases of a disease in a given population over a given period of time.
2011-01-01 to 2020-12-31
Age standardized incidence rate
Time Frame: 2011-01-01 to 2020-12-31
Incidence rates after removing the influence of age, and incidence rates normalised by age. The rationale is that age is an important influence on cancer incidence, with higher incidence rates occurring at older ages, so that if the age structure of the population in two regions is very different, it is not possible to determine whether the high incidence of a disease in a particular region is due to a different age composition or to other influences if incidence rate comparisons are applied.
2011-01-01 to 2020-12-31
Average annual percentage change
Time Frame: 2011-01-01 to 2020-12-31
Calculated using the weighted average of the APC, it is an overall measure of trend.
2011-01-01 to 2020-12-31
Annual percentage change
Time Frame: 2011-01-01 to 2020-12-31
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.
2011-01-01 to 2020-12-31

Collaborators and Investigators

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

Investigators

  • Study Director: Tao Yu, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, China

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 (Actual)

January 1, 2021

Primary Completion (Estimated)

December 31, 2025

Study Completion (Estimated)

December 31, 2025

Study Registration Dates

First Submitted

June 3, 2024

First Submitted That Met QC Criteria

June 3, 2024

First Posted (Actual)

June 7, 2024

Study Record Updates

Last Update Posted (Actual)

June 7, 2024

Last Update Submitted That Met QC Criteria

June 3, 2024

Last Verified

December 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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