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临床试验/NCT06448156
NCT06448156进行中(未招募)不适用

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

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University1 个研究点 分布在 1 个国家目标入组 44,375 人开始时间: 2021年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
进行中(未招募)
入组人数
44,375
试验地点
1
主要终点
Age standardized incidence rate

研究概览

简要总结

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
0 Years 至 120 Years(Child, Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

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

排除标准

  • 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;
  • cases with duplicate records of sex, age, time of call, pick-up address and initial diagnosis

结局指标

主要结局

Age standardized incidence rate

时间窗: 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.

Average annual percentage change

时间窗: 2011-01-01 to 2020-12-31

Calculated using the weighted average of the APC, it is an overall measure of trend.

Crude incidence rate

时间窗: 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.

Annual percentage change

时间窗: 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.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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