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           重症社区获得性肺炎患者中医临床证候分布规律研究



           张晨曦   1,2 ,关胜男    1,2 ,谢凯  1,2 ,张康  1,2 ,王海峰    2,3*                                 扫描二维码
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               【摘要】 背景 重症社区获得性肺炎(SCAP)病情进展迅速,具有病死率高、并发症多、经济负担重等问题,
           尽管临床诊疗方案不断优化,其发病率和死亡率仍高居不下,目前中医药治疗 SCAP 具有显著的临床疗效,但尚未建
           立规范化的临床诊疗方案,缺乏对 SCAP 的临床证型分布规律的研究。目的 研究 SCAP 的临床中医症状特征,探讨
           其中医证型分布规律,为临床诊治提供思路和依据。方法 选取 2012 年 12 月至 2021 年 3 月河南中医药大学第一附
           属医院呼吸科住院的 SCAP 患者为研究对象,汇总其症状、体征,采用 SPSS 26.0 软件对数据进行因子分析和聚类分析。
           结果 共纳入 166 例患者,其中男 119 例,女 47 例,男女比例 2.53∶1;平均年龄(70.1±15.8)岁,整理病例后得出
           13 种不同的证型,痰热壅肺证所占比例较高为 34.33%(57/166),咳嗽、咳痰症状涵盖了 50% 以上患者。对症状和
           体征进行因子分析共选取出 12 个公因子,累计方差贡献率达 62.842%。通过聚类分析将公因子聚为 4 类,分别是痰热
           壅肺证、邪陷正脱证、气阴两虚证、痰湿阻肺证 4 个主要的 SCAP 临床分型。结论 SCAP 患者男性比例较大,临床
           证型以痰热壅肺证、邪陷正脱证、气阴两虚证、痰湿阻肺证 4 个证型为主。
               【关键词】 社区获得性肺炎;证候;肺疾病;因素分析,统计学;聚类分析
               【中图分类号】 R 563.1 【文献标识码】 A DOI:10.12114/j.issn.1007-9572.2022.0179
               张晨曦,关胜男,谢凯,等 . 重症社区获得性肺炎患者中医临床证候分布规律研究[J]. 中国全科医学,2022,25
           (21):2640-2645. [www.chinagp.net]
               ZHANG C X,GUAN S N,XIE K,et al. Distribution of clinical Traditional Chinese Medicine syndromes in patients with
           severe community-acquired pneumonia[J]. Chinese General Practice,2022,25(21):2640-2645.


           Distribution of Clinical Traditional Chinese Medicine Syndromes in Patients with Severe Community-acquired
           Pneumonia ZHANG Chenxi 1,2 ,GUAN Shengnan 1,2 ,XIE Kai 1,2 ,ZHANG Kang 1,2 ,WANG Haifeng 2,3*
           1.Henan University of Chinese Medicine,Zhengzhou 450000,China
           2.Department of Respiratory Medicine,the First Affiliated Hospital of Henan University of CM,Zhengzhou 450000,China
           3.Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan Province & Education
           Ministry of P.R. China,Zhengzhou 450000,China
           *
           Corresponding author:WANG Haifeng,Chief physician,Doctoral supervisor;E-mail:wangh_f@126.com
               【Abstract】 Background Severe community-acquired pneumonia(SCAP) progresses rapidly,with high
           mortality,multiple complications,and heavy economic burden. Despite the continuous improvement of clinical diagnosis and
           treatment programs,its morbidity and mortality remain high. Traditional Chinese Medicine(TCM) has proven its significant
           clinical efficacy in treating SCAP,but there is still no a standardized TCM-based clinical diagnosis and treatment protocol for
           SCAP,and insufficient research on the distribution of clinical TCM syndromes of SCAP. Objective To study the characteristics
           and distribution of clinical TCM symptoms of SCAP,providing ideas for clinical diagnosis and treatment of SCAP. Methods
           SCAP inpatients were recruited from Department of Respiratory Medicine,the First Affiliated Hospital of Henan University of
           CM from December 2012 to March 2021. Their symptoms and signs were summarized. Factor analysis and cluster analysis were
           performed on the data using SPSS Statistics(version 26.0). Results One hundred and sixty-six patients were included,
           including 119 men and 47 women,the ratio is 2.53 ∶ 1,with an average age of(70.1±15.8) years old. Altogether,13 TCM
           syndromes were summarized,among which phlegm-heat obstructed lung syndrome had a high prevalence〔34.33%(57 /166)〕;
           cough and expectoration were prevalent in more than 50% of the patients. Twelve common factors were obtained by factor analysis
           of TCM symptoms,explaining 62.842% of the total variance. By cluster analysis,the common factors were clustered into


               基金项目:国家自然科学基金资助项目(81774222,82074411);国家中医药科学研究重大专项(20-21ZYZD04);河南中
           医药科学研究专项课题(拔尖人才)(2019ZYBJ05);2022 年度河南省高校科技创新团队支持计划(22IRTSTHN029)
               1.450000 河南省郑州市,河南中医药大学 2.450000 河南省郑州市,河南中医药大学第一附属医院呼吸科 3.450000 河南省郑
           州市,呼吸疾病中医药防治省部共建协同创新中心
               *
               通信作者:王海峰,主任医师,博士生导师;E-mail:wangh_f@126.com
               本文数字出版日期:2022-05-19
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