Development of a standard set of data variables and a database platform for panvascular disease

Author:

Yang Jing1,Su Xi2,Dong Zhihui3,Yang Pengfei4,Shi Xiaoming5,Wang Jiangang6,Zheng Xueying7,Tong Zhu8,Zhang Hongjian9,Hu Hao10,Luo Sihui7,Sun Wen11,Sun Xiaotong12,Zhang Yingmei13,Ge Junbo13,

Affiliation:

1. Department of Cardiology, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai 200031, China.

2. Department of Cardiology, Wuhan ASIA General Hospital, Wuhan 430050, China.

3. Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

4. Department of Neurosurgery, Changhai Hospital, The Navy Military Medical University, Shanghai 200031, China.

5. Department of Vascular Surgery, Hebei General Hospital, Hebei 050051, China.

6. Department of Cardiology, The Third Xiangya Hospital of Central South University, Changsha 410000, China.

7. Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.

8. Department of Vascular Surgery, Xuanwu Hospital Capital Medical University, Beijing 100053, China.

9. Oriental Pan-Vascular Devices Innovations College, University of Shanghai for Science and Technology, Shanghai 200031, China.

10. Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.

11. Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.

12. Chinese Cardiovascular Association, Suzhou 215124, China.

13. Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China.

Abstract

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

Reference19 articles.

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