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作 者:胡进 张欢 陈辉 朱阳春 黄敏 谢周涛 HU Jin;ZHANG Huan;CHEN Hui;ZHU Yangchun;HUANG Min;XIE Zhoutao(Department of Pharmacy,Hubei Provincial Hospital of Integrated Chinese and Western Medicine,Wuhan 430015,China;Department of Science and Education,Hubei Provincial Hospital of Integrated Chinese and Western Medicine,Wuhan 430015,China)
机构地区:[1]湖北省中西医结合医院药学部,湖北武汉430015 [2]湖北省中西医结合医院科教科,湖北武汉430015
出 处:《药物评价研究》2020年第9期1685-1692,共8页Drug Evaluation Research
基 金:国家中医药管理局2019年全国中药特色技术传承人才培训项目(国中医药人教函[2019]43号)。
摘 要:目的分析确诊为新型冠状病毒肺炎(COVID-19)患者的中药饮片治疗处方,统计分析用药规律。方法收集湖北省中西医结合医院2020年2月1日—2月29日6个呼吸内科病区治疗COVID-19的中药处方,利用Excel、SPSS 25软件进行频数频率分析、关联分析、聚类分析等。结果共纳入361例COVID-19患者治疗用中药处方共计529张,中药处方使用了292味中药,使用频数前5位的中药为茯苓、甘草、法半夏、陈皮、黄芩;中药类别频数前5位的为补虚药、化痰止咳平喘药、清热药、解表药、化湿药;关联规则显示,支持度最高的药对为茯苓和法半夏,置信度最高的药对为麸炒白术和茯苓;聚类分析共得11个聚类方。结论通过对所收集COVID-19用药数据进行分析,发现了中药以补虚为主,辨证加入化痰、止咳、平喘、清热、健脾化湿的用药及组方特点,与国家发布的COVID-19诊疗中医药治疗用药基本一致,为COVID-19的中医药治疗提供了参考。Objective Analyzed the prescriptions of traditional Chinese medicine(TCM)for patients diagnosed with Novel Coronavirus Pneumonia(COVID-19),and the medication patterns were statistically analyzed to provide reference for the treatment of COVID-19.Methods Chinese medicine prescriptions for COVID-19 were collected from six respiratory wards in Hubei Provincial Hospital of Integrated Chinese and Western Medicine hospital from February 1 to February 29,2020.The Excel and SPSS 25 software were used in the frequency analysis,association analysis,cluster analysis,etc.Results In this study,a total of 361 COVID-19 patients were enrolled with 529 TCM prescriptions,and 292 TCM were used in these prescriptions.The top five Chinese herbs with highest frequency include:Fuling(Poria),Gancao(Glycyrrhizae Radix),Fabanxia(Pinelliae Rhizoma Praeparatum),Chenpi(Citri Reticulatae Pericarpium),Huangqin(Scutellaria Baicalensis).The most frequently used five categories of Chinese herbs include:medicine for tonify deficiency,dissolving phlegm,relieving cough and calming panting,clearing heat,and relieving exterior,clearing damp.The analysis based on association rule showed that Fuling and Fabanxia had the highest support.Fuchao cangzhu and Fuling had the highest confidence.A total of 11 clustering methods were obtained by cluster analysis.Conclusion Through the data analysis of treatment of COVID-19 in our hospital,it shows that the main treatment of COVID-19 in our hospital was tonic deficiency,combined with resolving phlegm,relieving cough,calming panting,clearing heat,clearing damp and invigorating spleen based on syndrome differentiation.These main treatments are basically consistent with the COVID-19 diagnosis and treatment medication of TCM released by the national health commission,which will provides reference for the TCM treatment of COVID-19.
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