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

Cardiac Arrest Clinical Trial

Official title:

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

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT06448156
• Other study ID #: MR-44-24-003181
• Status: Active, not recruiting
• Start date: January 1, 2021
• Est. completion date: December 31, 2025

Study information

• Verified date: December 2023
• Source: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 44375
• Est. completion date: December 31, 2025
• Est. primary completion date: December 31, 2025
• Accepts healthy volunteers: No
• Gender: All
• Age group: 0 Years to 120 Years

Eligibility

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

Related Conditions & MeSH terms

• Cardiac Arrest
• Death
• Death, Sudden, Cardiac
• Heart Arrest
• Out-of-Hospital Cardiac Arrest
• Sudden Cardiac Death

Intervention

Diagnostic Test:
• "cardiac arrest" and "sudden death"
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

Locations

Country	Name	City	State
China	Yu Tao	Guangdong	???

Sponsors (1)

Lead Sponsor	Collaborator
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Crude incidence rate	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
Primary	Age standardized incidence rate	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
Primary	Average annual percentage change	Calculated using the weighted average of the APC, it is an overall measure of trend.	2011-01-01 to 2020-12-31
Primary	Annual percentage change	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