基于区域大数据平台的卒中高危人群队列研究最小数据集标准专家共识

Minimum dataset standard for cohort study of high-risk population of stroke based on regional big data platform:a consensus

开展基于真实世界的卒中高危人群大型队列研究对卒中防控具有重要意义,然而各区域大数据平台数据元结构、变量定义和范围不一致,难以实现不同区域的数据共享、汇总和分析。本研究在梳理卒中危险因素类别和定义的基础上,结合区域大数据平台已有数据基础,建立了一套统一的卒中高危人群队列研究最小数据集标准,并形成专家共识。以期为实现区域内和区域间真实世界数据的比较、整合和共享提供参考,在卒中危险因素队列研究、防控措施实施和评价中发挥作用。

A large cohort study of high-risk population of stroke based on the real world is of great significance for stroke prevention and control.However,the data element structures,variable definitions and scopes of regional big data platforms are inconsistent,which will be an obstacle for data sharing,summary,and analysis among different regions.In this study,we formed an expert consensus on a unified minimum dataset standard for the cohort study of high-risk pop⁃ulation of stroke,considering the categories and definitions of risk factors of stroke,and the existing database of the re⁃gional big data platforms.The consensus shall provide a reference for the comparison,integration,and sharing of real world data within and between regions,and play an important role in the cohort study on risk factors of stroke,as well as the implementation and evaluation of prevention and control measures.