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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
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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
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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。 |
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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
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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
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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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