文章摘要
深圳龙岗地区9439例失眠患者的基本情况、中医证候规律的大数据回顾性研究
Big data retrospective study on the basic situation and TCM syndromes of 9439 insomnia patients in Longgang, Shenzhen
投稿时间:2020-12-08  修订日期:2021-04-26
DOI:
中文关键词: 深圳  失眠 大数据
英文关键词: Shenzhen, Insomnia, Big data
基金项目:国家重点研发计划:阈下抑郁、失眠、轻度认知障碍干预技术的临床评价研究(SQ2019YFC170218)
作者单位邮编
林景峰 北京中医药大学 北京 linjingfeng@yeah.net
王振亦 北京中医药大学 北京 
奚润 北京中医药大学深圳医院(龙岗) 
常泽 北京中医药大学 北京 
胡文悦 北京中医药大学 北京 
王育纯 北京中医药大学 北京 
韩振蕴 北京中医药大学深圳医院(龙岗) 518100
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中文摘要:
      目的:通过回溯既往3年余深圳龙岗地区的失眠病历,从大数据角度阐释失眠中医证候的分布及其与性别、年龄、各种症状的关系,为失眠的中医证候、证素分布提供大样本数据参考。方法:回顾性检查电子病历,纳入2016年1月1日至2020年11月于北京中医药大学深圳医院符合纳排标准的失眠患者,必要时电话回访。纳入后使用R软件进行大数据分析。统计患者基本信息,采用非条件 logistic 回归,分析证型与患者基本信息等资料间的影响因素,提取病历中的症状、体征信息,并进行聚类分析和关联规则分析。结果:共纳入9439名失眠患者进行大数据分析。女性患者是男性患者的1.52倍,30-60岁之间的失眠就诊人数占比为71.95%。证型分布以心脾两虚、心肾不交、肝郁脾虚为主,证素以脾虚、肝郁、血瘀、湿热、气虚为主,部分证型证素分布存在年龄、性别差异。聚类分析表明,失眠人群主要可分为以肝郁、脾虚类症候群为主的人群和以湿热类证候群为主的证候群群体。关联规则分析则显示了各种证型的核心症状。结论:龙岗地区失眠患者中,女性患者显著多于男性患者,年龄分布以中年群体(30-60岁)为主。证型、证素分布以心脾两虚、心肾不交、肝郁脾虚、脾虚、肝郁、血瘀、湿热、气虚为主。失眠的中医证素可能比证型有着更加精确、更加规范的内涵。
英文摘要:
      Objective: To analyze the distribution of TCM syndromes of insomnia and their relationship with gender, age and various symptoms from the perspective of big data by reviewing the medical records of insomnia in Longgang District, Shenzhen for more than 3 years, and to provide a large sample of data with the distribution of TCM syndromes and syndrome elements of insomnia for reference. Methods: Electronic medical records were reviewed retrospectively, including insomnia patients who met the admission standards in shenzhen hospital of Beijing university of Chinese medicine from January 1, 2016 to November 2020. After inclusion, R software was used for big data analysis. The basic information of the patients was collected, and the influencing factors between the syndrome type and the basic information of the patients were analyzed by using non-conditional logistic regression. The symptoms and signs in the medical records were extracted for cluster analysis and association rule analysis. Results: A total of 9439 insomnia patients were included for big data analysis. Female patients were 1.52 times as many as male patients, and 71.95% of patients aged 30-60 years had insomnia. The distribution of syndromes was mainly composed of deficiency of the heart and spleen, disharmony of the heart and kidney, and deficiency of liver and spleen, while the distribution of syndrome elements was mainly composed of deficiency of spleen, liver depression, blood stasis, dampness and heat, and deficiency of qi. Some of the syndromes and syndrome elements showed age and gender differences. Cluster analysis showed that the insomnia population can be divided into two groups: liver-depression and spleen-deficiency syndrome and dampness-heat syndrome. Association rule analysis shows the core symptoms of various syndromes and syndrome elements. Conclusion: Among the insomnia patients in Longgang area, female patients were significantly more than male patients, and the age distribution was mainly in the middle-aged group (30-60 years old). Syndrome types and syndrome elements were mainly distributed in deficiency of the heart and spleen, disharmony of the heart and kidney, deficiency of liver and spleen, deficiency of spleen, liver depression, blood stasis, dampness-heat and deficiency of qi. The TCM syndrome elements of insomnia may have more precise and normative definition than syndrome types.
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