The Chinese Clinical Sleep Database: An Innovative Database System Includes Large-Scale Clinical Data of Chinese Population.

Journal: Nature and science of sleep

Volume: 16

Issue: 

Year of Publication: 

Affiliated Institutions:  Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China. School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, , People's Republic of China. Adai Technology (Beijing) Co., Ltd, Beijing, People's Republic of China.

Abstract summary 

In this study, we established the Chinese Clinical Sleep Database (CCSD), aiming to provide a safe, scalable, and user-friendly database that includes high-quality clinical data from Chinese population to facilitate sleep research.We collect individual's demographic data, scales, anthropometric measurements, clinical diagnosis, and polysomnography (PSG) recordings from the routine medical process of sleep medicine centers using standardized procedures. The distributed cluster storage technology are utilized to store these data. The structured data are stored in a high-performance MySQL database, while the unstructured data are stored in an object storage service. And we have developed an online data platform to share and manage our data.The data collection has been conducted in three hospitals. In the preliminary stage of data collection (from October 18, 2022 to September 4, 2023), our database included a total of 1183 patients. Among them, 56.8% were male and their ages ranged from 3 to 88 years. These patients were diagnosed with various types of sleep disorders.Since the CCSD's inception, it has demonstrated good stability, security, and scalability. As an public database, the CCSD also exhibits user-friendliness. The CCSD contains comprehensive clinical data, which can contribute to the advancement of the diagnosis and treatment strategies for sleep disorders, ultimately promoting sleep health.

Authors & Co-authors:  Fang Cheng Li Xu Li Liu Guo Wang Jiang Zhou Zhang

Study Outcome 

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Citations :  Chaput J, McHill AW, Cox RC, et al. The role of insufficient sleep and circadian misalignment in obesity. Nat Rev Endocrinol. 2023;19(2):82–97. doi:10.1038/s41574-022-00747-7
Authors :  11
Identifiers
Doi : 10.2147/NSS.S450578
SSN : 1179-1608
Study Population
Male
Mesh Terms
Other Terms
collaboration tool;data collection;database;methodology;sleep medicine
Study Design
Study Approach
Country of Study
Publication Country
New Zealand