Ignite Creation Date:
2024-06-16 @ 11:50 AM
Last Modification Date:
2024-10-26 @ 3:31 PM
Study NCT ID:
NCT06448156
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2024-06-07
First Post:
2024-06-03
Brief Title:
Epidemiological Study of Out-of-hospital Cardiac Arrest in Guangzhou
Sponsor:
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Organization:
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Study Overview
Official Title:
Epidemiological Study of Out-of-hospital Cardiac Arrest in Guangzhou
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2023-12
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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 260 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
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 260 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
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None