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499例甲型流行性感冒轻症中医证候分析
赵晶敏1,2,3, 苏日娜1,2,3, 张思涵1,2,3, 赵启亮1,2, 张慧琪1,2, 杜晶辉2, 刘旻1,2, 孙宏源1,2, 孙昕4, 李桂伟2
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.天津中医药大学研究生院, 天津 301617;4.天津市人民医院, 天津 300120
摘要:
[目的] 采用潜在类别分析探讨甲型流行性感冒轻症中医证候。[方法] 收集甲型流感轻症患者四诊信息,采用SPSS 25.0和Mplus 8.3软件,对描述性数据进行频次分析,通过因子分析提取甲型流感轻症相关性较大的条目,再对其进行潜在类别分析,总结主要中医证候,并对可能影响中医证候分布的因素进行Logistic回归分析。[结果] 共纳入499例患者,症状频次由高到低依次为咳嗽、肌肉酸痛、乏力、咽红、头重痛等,通过因子分析提取出22个甲流轻症相关性大的症状条目,经潜在类别分析得出4类中医证候表现组合,分别为风寒束表证(25.1%)、风热犯卫夹湿证(44.5%)、表寒里热证(20%)、风热犯卫证(10.4%),Logistic回归分析显示以风热犯卫夹湿证为参照,病程≤1 d表现为风寒束表证的可能性是病程>2天的1.955倍(OR=1.955,95%CI=1.024~3.732,P=0.042),就诊前未用药表现为风寒束表证、表寒里热证的可能性分别是就诊前使用抗病毒药物的0.267倍(OR=0.267,95%CI=0.087~0.822,P=0.021)和0.281倍(OR=0.281,95%CI=0.081~0.975,P=0.046)。[结论] 甲型流感轻症多数为风热犯卫夹湿证,其次为风寒束表证、表寒里热证、风热犯卫证;病程短以风寒束表证为主,未用抗病毒药物以风热犯卫夹湿证为主。
关键词:  甲型流行性感冒  中医证候  潜在类别分析  Logistic回归分析
DOI:10.11656/j.issn.1673-9043.2025.02.04
分类号:R511.7;R254.9
基金项目:国家重点研发计划课题项目(2018YFC1707503);天津市卫生健康科技人才培育项目(KJ20205);天津中医药大学教育教学改革研究项目(2023YJY036);孙昕天津市名中医传承工作室项目;李桂伟天津市名中医传承工作室项目。
Traditional Chinese medicine syndrome analysis of 499 cases of mild influenza A
ZHAO Jingmin1,2,3, SU Rina1,2,3, ZHANG Sihan1,2,3, ZHAO Qiliang1,2, ZHANG Huiqi1,2, DU Jinghui2, LIU Min1,2, SUN Hongyuan1,2, SUN Xin4, LI Guiwei2
1.Department of Infectious Diseases, The First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China;2.National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China;3.Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China;4.Tianjin People's Hospital, Tianjin 300120, China
Abstract:
[Objective] To explore the Chinese medicine evidence for mild influenza A illness using latent class analysis.[Methods] Information on four consultations of patients with mild influenza A was collected,and SPSS 25.0 and Mplus 8.3 software were used to analyze the frequency of descriptive data,extract the items with greater relevance to mild influenza A by factor analysis,and then perform potential category analysis to summarize the main Chinese medicine symptoms,and perform logistic regression analysis on the factors that might affect the distribution of Chinese medicine symptoms.[Results] A total of 499 patients were included,and the frequency of symptoms,in descending order,were cough,muscle pain,fatigue,red throat,and severe headache,etc.. Twenty-two symptomatic items of high relevance to the mild symptoms of influenza A were extracted by factor analysis,and four types of traditional Chinese medicine symptom manifestation combinations were derived from the analysis of potential categories,namely,the wind-cool bundle of surface symptoms(25.1%),the wind-heat offending the wei and dampness symptoms(44.5%),the surface cold and internal heat symptoms(20%)(10.4%)[1]. Logistic regression analysis showed that with the wind-heat offending the guard and entrapping dampness syndrome as the reference,the likelihood of manifesting the wind-cold bundled surface syndrome for a disease duration of ≤ 1 day was 1.955 times higher than that of a disease duration of >2 days(OR=1.955,95%CI=1.024-3.732,P=0.042),and that the likelihood of manifesting the wind-cold bundled surface syndrome and the epidemiological-cold and internal-heat syndrome without the use of medication prior to the visit was higher than that of using antidotes prior to the visit,respectively were 0.267 times more likely(OR=0.267,95%CI=0.087-0.822,P=0.021) and 0.281 times more likely(OR=0.281,95%CI=0.081-0.975,P=0.046),respectively than those who had used antiviral medication prior to the consultation.[Conclusion] Most of the mild cases of influenza A were wind-heat against the guard and dampness syndrome,followed by wind-cold bundle surface syndrome,surface-cold and internal-heat syndrome,and wind-heat against the guard. The short course of disease is mainly due to exterior syndrome of wind-cold bundle,and the syndrome of wind-heat invading wei and dampness is the main one without antiviral drugs.
Key words:  influenza A  syndrome of traditional Chinese medicine  latent category analysis  logistic regression analysis
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