新型冠状病毒感染本土病例中七情过极对脏腑气机影响的研究  

A study on the influence of disordered seven emotions on the qi movement of Zang-fu organs in local COVID-19 patients

作　　者：赵启亮[1,2] 张东 范爽[3] 张慧琪 谢云雪[1,2,4] 丁国耀 任怡 贾敬波 马兆润[3] 谢祎 刘旻[1,2] ZHAO Qiliang;ZHANG Dong;FAN Shuang;ZHANG Huiqi;XIE Yunxue;DING Guoyao;REN Yi;JIA Jingbo;MA Zhaorun;XIE Yi;LIU Min(Infectious Diseases Department,First Teaching Hospital of Tianjin University of Traditional Chinese Medicine,Tianjin 300381,China;National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion,Tianjin 300381,China;Tuberculosis Department,Tianjin Haihe Hospital,Tianjin 300350,China;Graduate School,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,China)

机构地区：[1]天津中医药大学第一附属医院感染疾病科,天津300381 [2]国家中医针灸临床医学研究中心,天津300381 [3]天津市海河医院结核病科,天津300350 [4]天津中医药大学研究生院,天津301617

出　　处：《天津中医药》2023年第8期955-960,共6页Tianjin Journal of Traditional Chinese Medicine

基　　金：天津市中医药重点领域科技项目(2021010)。

摘　　要：[目的]探析新型冠状病毒感染本土病例中医七情过极对脏腑气机影响的规律。[方法]收集2019年2月—2020年8月天津市海河医院收治的新型冠状病毒感染本土确诊病例130例,采集入院时、住院1周时、出院时3个时点的临床资料,通过描述性统计学分析总结3个不同时点七情及气机的主要特征变化。采用关联规则法分析3个时点七情特征和气机升降出入的联系,揭示七情影响气机升降出入的潜在规律。[结果]共纳入患者130例,入院时,七情特征以忧(56.15%)、思(44.62%)、怒(26.92%)、悲(25.38%)为主,七情严重程度评分为忧(1.17)>思(0.92)>悲(0.53)>恐(0.29)>惊(0.28)>怒(0.53);气机特征以入(41.54%)、降(30.77%)、升(23.85%)为主,气机严重程度评分为入(1.92)>降(1.55)>升(0.82)>出(0.24);住院1周时,七情特征以思(34.62%)、忧(32.31%)、悲(23.08%)、怒(22.32%)为主,七情严重程度评分为思(0.69)>忧(0.55)>悲(0.43)>怒(0.34)>恐、喜(0.08)>惊(0.04);气机特征以降(25.38%)、入(23.85%)、升(19.23%)为主,气机严重程度评分为入(0.77)>降(0.69)>升(0.42)>出(0.03);出院时,七情特征以忧(30.77%)、思(29.23%)、喜(23.85%)、悲(19.23%)为主,七情严重程度评分为忧(0.44)>思(0.33)>喜(0.30)>悲(0.25)>恐(0.18)>怒(0.12)>喜(0.30)>惊(0.03);气机特征以降(26.9)、入(21.54%)、升(11.54%)为主,气机严重程度评分为降(0.27)>入(0.22)>升(0.12)>出(0)。关联规则分析显示,入院时,支持度最高的是入+忧(41.54%),置信度最高的是悲+降/入/忧(100%);住院1周时,支持度最高的是降+悲/入/忧(25.39%),置信度最高的是悲/入/降+忧(100%);出院时,支持度最高的是忧+降(30.77%),置信度最高的是忧+降(97.14%)。[结论]天津地区新型冠状病毒感染(COVID-19)本土患者住院期间的七情特征以“忧、思”为主,气机特征以“入、降”为主,住院过程中的情志过极和气机失调均呈现好转的趋势,情志“忧、思”过极导致气机的“入�[Objective]To explore the influence of disordered seven emotions of traditional Chinese medicine on qi movement of Zang-fu organs in local COVID-19 patients.[Methods]A total of 130 local confirmed COVID-19 cases admitted to Tianjin Haihe Hospital from February 2019 to August 2020 were collected.Clinical data were collected at admission,one week in hospital,and discharged from hospital.Descriptive statistics were used to summarize the main characteristics and changes of seven emotions and qi movement at the three different time points.The association rules algorithm is used to analyze the relationship between the seven emotions and movement of qi.Finally,we reveals the potential rule of seven emotions influence on the movement of qi.[Results]A total of 130 patients were included.On admission,the main characteristics of seven emotions were melancholy(56.15%),anxiety(44.62%),anger(26.92%)and grief(25.38%);the severity score of seven emotions was melancholy(1.17)>anxiety(0.92)>grief(0.53)>fear(0.29)>fright(0.28)>anger(0.53);the characteristics of qi movement were mainly entering(41.54%),descending(30.77%)and ascending(23.85%),and the severity score of qi movement was entering(1.92)>descending(1.55)>ascending(0.82)>exiting(0.24).After 1 week in hospital,the characteristics of seven emotions were mainly anxiety(34.62%),melancholy(32.31%),grief(23.08%),anger(22.32%),and the severity score of seven emotions was anxiety(0.69)>melancholy(0.55)>grief(0.43)>anger(0.34)>fear,joy(0.08)>fright(0.04);the characteristics of qi movement were mainly descending(25.38%),entering(23.85%)and ascending(19.23%).The severity score of qi movement was entering(0.77)>descending(0.69)>ascending(0.42)>exiting(0.03).When discharged from hospital,the characteristics of seven emotions were mainly melancholy(30.77%),anxiety(29.23%),joy(23.85%),grief(19.23%).The severity score of seven emotions was melancholy(0.44)>anxiety(0.33)>joy(0.30)>grief(0.25)>fear(0.18)>anger(0.12)>joy(0.30)>fright(0.03);the characteristics of qi movement were mainly descen

关 键 词：新型冠状病毒感染 中医七情 脏腑气机 升降出入 

分 类 号：R511[医药卫生—内科学]