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

IF 3 2区医学 Q2 CLINICAL NEUROLOGY

Nature and Science of Sleep Pub Date : 2024-03-20 DOI:10.2147/nss.s450578

Ruichen Fang, Yihong Cheng, Fan Li, Yan Xu, Yuanhui Li, Xiang Liu, Simin Guo, Yuling Wang, Jinnong Jiang, Dan Zhou, Bin Zhang

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Abstract

Purpose: 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.
Material and Methods: 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.
Results: 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.
Conclusion: 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.

Keywords: sleep medicine, methodology, database, data collection, collaboration tool

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中国临床睡眠数据库：包含中国人群大规模临床数据的创新数据库系统

目的：在这项研究中，我们建立了中国临床睡眠数据库（CCSD），旨在提供一个安全、可扩展、用户友好的数据库，其中包括中国人群的高质量临床数据，以促进睡眠研究：我们采用标准化程序，从睡眠医学中心的常规医疗过程中收集个人的人口统计学数据、量表、人体测量、临床诊断和多导睡眠图（PSG）记录。利用分布式集群存储技术来存储这些数据。结构化数据存储在高性能的 MySQL 数据库中，而非结构化数据则存储在对象存储服务中。我们还开发了一个在线数据平台来共享和管理数据：数据收集工作在三家医院进行。在数据收集的初步阶段（2022 年 10 月 18 日至 2023 年 9 月 4 日），我们的数据库共收录了 1183 名患者。其中，男性占 56.8%，年龄在 3 至 88 岁之间。这些患者被诊断患有各种类型的睡眠障碍：CCSD自建立以来，表现出了良好的稳定性、安全性和可扩展性。作为一个公共数据库，CCSD 还具有用户友好性。CCSD包含全面的临床数据，有助于推进睡眠障碍的诊断和治疗策略，最终促进睡眠健康。关键词：睡眠医学；方法；数据库；数据收集；协作工具

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来源期刊

Nature and Science of Sleep Neuroscience-Behavioral Neuroscience

CiteScore

5.70

自引率

5.90%

发文量

245

审稿时长

16 weeks

期刊介绍： Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep. Specific topics covered in the journal include: The functions of sleep in humans and other animals Physiological and neurophysiological changes with sleep The genetics of sleep and sleep differences The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness Sleep changes with development and with age Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause) The science and nature of dreams Sleep disorders Impact of sleep and sleep disorders on health, daytime function and quality of life Sleep problems secondary to clinical disorders Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health) The microbiome and sleep Chronotherapy Impact of circadian rhythms on sleep, physiology, cognition and health Mechanisms controlling circadian rhythms, centrally and peripherally Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms Epigenetic markers of sleep or circadian disruption.

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