今日药学

2022, v.32(03) 194-197+214

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基于数据分析研究新疆地区新冠肺炎恢复期中医组方
Study on TCM Prescription for New Coronary Pneumonia Convalescent Period in Xinjiang Area based on Data Analysis

王巧梅;王富堂;丁爱莲;梁悦;赵鹤姗;
WANG Qiaomei;WANG Futang;DING Ailian;LIANG Yue;ZHAO Heshan;The Changji Branch of the First Affiliated Hospital of Xinjiang Medical University;Hami Regional Central Hospital;

摘要(Abstract):

目的 基于数据分析研究新疆地区新冠肺炎恢复期中医组方的用药规律。方法 整理分析病例中中药配方颗粒处方中的数据,通过Microsoft Excel软件对药物使用频次、分类、四气五味、性味归经等进行统计分析,IBM SPSS Modeler 18.0软件对药物进行关联规则和可视化网络图分析以全面展示药物之间的联系,IBM SPSS Statistics 25.0软件对药物进行聚类分析。结果 纳入本研究新冠肺炎恢复期中医组方方剂1 821首,新疆地区新冠肺炎恢复期高频药物以黄芪、石斛及金银花使用频次最高,以甘、辛类药物为主,从中药药性分析,以温性药物为主,其次是寒性药物,药物归经以归肺经为主,其次是归脾经。通过聚类分析、关联规则及可视化网络图分析,处方中的34味高频药物可分为3类。结论 本研究初步探索了中医药在恢复期运用的共性,通过辨证论治,遣方用药,得出核心药物为黄芪、石斛、金银花、陈皮等,核心治法为益气养阴、健脾益肺、化湿祛邪等,意在提高患者生活质量、促进脏腑功能恢复,以期在缓解临床症状的同时,提高患者免疫力,避免损伤脾胃之阳气。
OBJECTIVE To study the rule of traditional Chinese medicine(TCM) prescription in the recovery period of COVID-19 in Xinjiang based on data analysis. METHODS The data of TCM granule prescriptions in cases were sorted out and analyzed statistically by Microsoft Excel software, including the frequency of drug use, classification, four qi and five flavors, the property, flavor and meridian distribution. The relationship between drugs were analyzed and demonstrated by IBM SPSS Modeler 18.0 software in conducting association rules and visual network graph and IBM SPSS Statistics 25.0 software was conducted for cluster analysis for drugs. RESULTS In this study, 1 821 prescriptions of traditional Chinese medicine formula used in COVID-19 convalescence were included in xinjiang region. The highest frequency drugs were the root of remembranous milk vetch, caulis dendrobii and honeysuckle, and gan, xin drugs were used mainly. From the traditional Chinese medicine property analysis, warm-natured drugs were used mainly, followed by cold-natured drugs, most of them were mainly belonged to the lung meridian, followed by spleen meridian. Through cluster analysis, association rules and visual network graph analysis, 34 high-frequency drugs in prescriptions could be divided into 3 categories. CONCLUSION This study is a preliminary exploration of Chinese medicine in convalescence in common use. Based on syndrome differentiation, send party drugs, it is concluded that the core drugs are astragalus, caulis dendrobii, honeysuckle, dried tangerine or orange peel, and the core treatment methods are reinforcing Qi and nourishing Yin, strengthening spleen and tonifying lung, resolving dampness and eliminate evil, etc. It can improve patients′ quality of life, promote the viscera function recovery, in an effort to relieve clinical symptoms at the same time, improve the patients′ immunity, avoid damaging the Yangqi of the spleen and stomach.

关键词(KeyWords): 新冠肺炎;恢复期;组方规律;新疆地区;中医药
COVID-19;recovery;formation law;Xinjiang region;traditional Chinese medicine

Abstract:

Keywords:

基金项目(Foundation): 新疆医科大学一附院昌吉分院院级项目(202102)

作者(Authors): 王巧梅;王富堂;丁爱莲;梁悦;赵鹤姗;
WANG Qiaomei;WANG Futang;DING Ailian;LIANG Yue;ZHAO Heshan;The Changji Branch of the First Affiliated Hospital of Xinjiang Medical University;Hami Regional Central Hospital;

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