急诊呼吸道感染疾病六气分布规律探析

Analysis of the Distribution Law of Respiratory Tract Infection in Emergency During the Six Climatic Changes

目的:探讨2017-2019年急诊呼吸道感染患病率与六气外感理论分布之间的关联性。方法:将医院2017-2019年收治的24720例急诊呼吸道感染患者,根据六气更替时间,分为初之气、二之气、三之气、四之气、五之气、六之气6组,统计各组患者数,并将《素问·六元正纪大论》中外感温病六气理论分布定性赋值,对两者进行比较,探讨急诊呼吸道感染患病率与六气外感理论分布的关联性。结果:(1)急诊呼吸道感染患病率变化呈周期性;(2)各年呼吸道感染患者人数,以戊戌年在3年中最高,为9201例。各年六气时段中,丁酉年六之气客气少阴君火时段患病率全年最高为2822例,戊戌年一之气客气少阳相火时患病率全年最高为4225例,己亥年一之气客气阳明燥金时患病率全年最高为2696例;(3)急诊呼吸道感染患病率与《素问·六元正纪大论》中外感理论分布趋势相近,理论赋值与临床数据呈正相关,r=0.503,P=0.033。结论:运气学说对外感病发病趋势的总结具有较高的可靠性,可为临床实践探讨外感病的六气分布特点提供参考。

Objective:To analysis of the correlation between prevalence of respiratory tract infection in emergency and the theoretical distribution of exogenous diseases during the six climatic changes’period from 2017 to 2019.Methods:24 720 cases of respiratory tract infection patients in emergency from Wuxi hospital of TCM from 2017 to 2019 were divided into six groups according to the replacement time of six climatic changes.To statistics the number of patients in each group,and compare with the qualitative assignment of the theoretical distribution of exogenous diseases in Su Wen Liu Yuan Zheng Ji Da Lun during the six climatic changes.Results:(1)The prevalence of emergency respiratory tract infection was periodic;(2) The highest number of patients with respiratory tract infection was 9 201 in 2018.Among the six climatic changes in each year,the highest number of patients was 2 822 cases in the sixth Qi of 2017,4 225 cases in the first Qi of 2018,and 2 696 cases in the first Qi of 2019;(3)It is similar to the theoretical distribution of exogenous diseases in Su Wen Liu Yuan Zheng Ji Da Lun,and the theoretical assignment is positively correlated with the clinical data,with the correlation coefficient of 0.503,P=0.033.Conclusion:The theory of five movements six climatic changes has high reliability in summarizing the incidence trend of exogenous diseases,which can provide references for exploring the distribution characteristics of six climatic changes of exogenous disease.