数据库
数据集
计算机科学
集合(抽象数据类型)
情报检索
程序设计语言
人工智能
作者
Jing Yang,Xi Su,Zhihui Dong,Pengfei Yang,Xiaoming Shi,Jiangang Wang,Xueying Zheng,Zhu Tong,Hongjian Zhang,Hao Hu,Sihui Luo,Wen Sun,Xiaotong Sun,Yingmei Zhang,Junbo Ge
出处
期刊:Cardiology plus
[Lippincott Williams & Wilkins]
日期:2023-10-01
卷期号:8 (4): 279-284
被引量:2
标识
DOI:10.1097/cp9.0000000000000066
摘要
Panvascular disease has emerged as a growing disease burden worldwide, highlighting the requirement of advanced research based on a holistic perspective. Establishing a standard set of data variables for clinical research on epidemiology, risk evaluation, diagnostic strategy, the efficacy of therapeutics, and care quality monitoring is paramount. A multidisciplinary working group consisting of 12 experts developed a standardized data variables and definitions through a systemic review and analysis of major domestic and international guidelines, clinical research articles, and standard terminologies in conjunction with data on Chinese clinical treatment and practice and research needs. A total of 555 data variables were included, among which 129 were mandatory. The key domains based on the timeline of care delivery are as follows: (1) demographics, (2) patient characteristics and comorbidities, (3) presentation details, (4) laboratory testing, (5) non-invasive tests, (6) invasive procedures/operations, (7) pre-discharge review, (8) risk assessment, and (9) follow-up. Patients with atherosclerotic cardiovascular disease, subclinical atherosclerosis, and high-risk factors are eligible for enrollment into the database. As of March 31, 2023, a total of 20 participating hospitals have started collecting patient data. A total of 2,106 patients have been enrolled.
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