文章摘要
林景峰,王振亦,奚润,等.深圳龙岗地区9 439例失眠患者基本情况及中医证候规律的大数据研究[J].浙江中医药大学学报,2021,45(9):1005-1012.
深圳龙岗地区9 439例失眠患者基本情况及中医证候规律的大数据研究
Big Data Study on the Basic Situation and TCM Syndromes of 9 439 Insomnia Patients in Longgang, Shenzhen
DOI:10.16466/j.issn1005-5509.2021.09.013
中文关键词: 失眠  大数据  中医证候  中医证型  中医证素  聚类分析  关联规则  深圳龙岗
英文关键词: insomnia  big data  traditional Chinese syndrome  TCM syndrome types  TCM signs  cluster analysis  association rules  Longgang, Shenzhen
基金项目:国家重点研发计划(SQ2019YFC170218)
作者单位E-mail
林景峰 北京中医药大学 北京 100029  
王振亦 北京中医药大学 北京 100029  
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 100029  
胡文悦 北京中医药大学 北京 100029  
王育纯 北京中医药大学 北京 100029  
韩振蕴 北京中医药大学深圳医院龙岗 tohanzhenyun@sina.com 
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中文摘要:
      [目的]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、证素分布研究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10日就诊于北京中医药大学深圳医院符合纳入排除标准的失眠患者,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,提取病历中的症状、体征信息,采用非条件logistic回归,分析不同证候患者证型、证素的影响因素,并进行聚类分析和关联规则分析。[结果]共纳入9 439名失眠患者,女性患者是男性患者的1.52倍,30~60岁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、脾虚类症候群为主和以湿热类症候群为主的两个群体。关联规则分析表明,头晕、乏力、口苦等为肝郁脾虚型失眠的核心症状体征,入睡困难、心烦、多梦等是心脾两虚型失眠的核心症状体征,多梦、舌红等是心肾不交型失眠的核心症状体征。[结论]龙岗地区失眠患者中,女性患者显著多于男性,年龄分布以中年群体为主。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 traditional Chinese medicine(TCM) syndromes of insomnia and their relationship with gender, age and various symptoms from the perspective of big data, 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 10,2020. After inclusion, the R software was used for big data analysis, the basic information of patients was counted, the symptoms and signs information in medical records were extracted, the non-conditional logistic regression was used to analyze the influencing factors of syndrome types and syndrome elements of patients with different syndromes, and the cluster analysis and association rule analysis were carried out.[Results] A total of 9 439 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 depression of the liver and deficiency of the spleen, while the distribution of syndrome elements was mainly composed of deficiency of the spleen, depression of the liver, blood stasis, dampness and heat, and deficiency of Qi.There were differences in age and sex in distribution of some syndrome types and syndrome elements. Cluster analysis showed that the insomnia population can be divided into two groups: Depression of the liver and deficiency of the spleen syndrome and dampness-heat syndrome.Association rule analysis showed that dizziness, fatigue and bitter mouth were the core symptoms and signs of insomnia with depression of the liver and deficiency of the spleen;difficulty in falling asleep, upset and dreaminess were the core symptoms and signs of insomnia with deficiency of the heart and spleen; dreaminess, red tongue were the core symptoms and signs of insomnia with disharmony of the heart and kidney.[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, depression of the liver and deficiency of the spleen, deficiency of the spleen, depression of the liver, 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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