1225例新型冠状病毒感染老年患者证候规律研究
Study on Syndrome Regularity of 1225 Elderly Patients with COVID-19
王鑫 1汪义明 1李白雪 1吴文军 1何睿 2郑永利 3党思捷 4付玉玲 5尚亚楠 6刘蕾 7王蕊 8李岫滟 1郑政隆 8郑晗月 8刘海慧 1沈政男 1曾玲 1孟祥博 1熊滨雁 8冯全生1
作者信息
- 1. 成都中医药大学,四川成都 611130
- 2. 成都市第二人民医院,四川成都 610021
- 3. 成都市公共卫生临床医疗中心,四川成都 610066
- 4. 四川省第二中医医院,四川成都 610014
- 5. 成都市第一骨科医院,四川成都 610014
- 6. 眉山市中医医院,四川眉山 620020
- 7. 成都中医药大学附属医院,四川成都 610072
- 8. 成都中医药大学,四川成都 611130;成都中医药大学附属医院,四川成都 610072
- 折叠
摘要
目的 探索老年群体新型冠状病毒感染常见证候分类及特征,为临床辨治提供参考.方法 采集四川省内6家三甲医院的新型冠状病毒感染的老年患者的四诊信息,构建数据库.运用隐结构法的Lantern 5.0软件,基于双步隐树分析,构建隐结构模型,通过综合聚类提取新型冠状病毒感染常见证候.采用SPSS 23.0软件进行因子分析和系统聚类分析,推断潜在证候.结合不同方法结果和专业知识确定新型冠状病毒感染证候分类.结果 共纳入1225例新型冠状病毒感染患者,共收集103个症状.纳入分析频次≥40的59个症状构建隐结构模型,得到15个隐变量,综合聚类得到4种常见证候,分别为邪袭肺卫证、邪热蕴肺证、湿邪困脾证、阴虚夹湿证.得到19个公因子,用公因子进行系统聚类分析,推断出4个常见证候.结合不同方法和专业知识最终确定4种常见证候及特征.结论 四川地区老年群体新型冠状病毒感染常见证候为邪袭肺卫证、邪热蕴肺证、湿邪困脾证、阴虚夹湿证.研究结果较客观地反映了四川地区老年患者新型冠状病毒感染的实际情况,可为四川地区老年患者新型冠状病毒感染辨证治疗提供参考.
Abstract
Objective To explore the classification and characteristics of common syndromes of corona virus disease 2019(CO-VID-19)in the elderly population and to provide reference for clinical syndrome differentiation and treatment.Methods The four diagnostic information of elderly patients with COVID-19 in six tertiary hospitals in Sichuan Province was collected to con-struct a database.The Lantern 5.0 software of latent structure method was used to construct a latent structure model based on two-step latent tree analysis,and the common syndromes of COVID-19 were extracted by comprehensive clustering.SPSS 23.0 software was used for factor analysis and systematic cluster analysis to infer potential syndromes.Combined with the results of dif-ferent methods and professional knowledge,the classification of COVID-19 syndromes was determined.Results A total of 1225 patients with 103 symptoms of COVID-19 were included.A latent structure model was constructed by including 59 symptoms with a frequency of analysis≥40,and 15 latent variables were obtained.Four common syndromes were obtained by comprehen-sive clustering,which were syndrome of evil attacking lung,syndrome of evil heat accumulating lung,syndrome of dampness ob-structing spleen and syndrome of Yin deficiency with dampness.A total of 19 common factors were obtained,and the common fac-tors were used for systematic cluster analysis to infer 4 common syndromes.Combined with different methods and professional knowledge,four common syndromes and characteristics were finally determined.Conclusion The common syndromes of COVID-19 in the elderly population in Sichuan are evil attacking lung-defense syndrome and evil heat accumulating lung syndrome.
关键词
新冠病毒感染/老年/证候/因子分析/隐结构分析Key words
COVID-19/old age/syndrome/factor analysis/implicit structure analysis引用本文复制引用
基金项目
国家自然科学基金项目(82074399)
国家中医药多学科交叉创新团队项目(ZYYCXTD-D-202201)
成都中医药大学"杏林学者"学科人才科研提升计划项目(XKTD2022001)
出版年
2024
NETL
NSTL
万方数据