Ji Ming-Yue, Qi Qi-Ge, Xi Lin-Tu-Ya, A Ru-Han, Wang Jie, Li Qin-Yu, A Gu-la, Li Min-Hui
Baotou Medical College Baotou 014040, China.
Inner Mongolia Institute of Mongolian Traditional Chinese Medicine Administration Hohhot 010110, China.
Zhongguo Zhong Yao Za Zhi. 2020 Jul;45(13):3013-3019. doi: 10.19540/j.cnki.cjcmm.20200425.501.
The epidemic situation of coronavirus disease 2019(COVID-19) is developing rapidly in the world, and the influence is serious. In this study, the prescription of Mongolian medicine to prevent new type of COVID-19 was investigated. Based on the second edition and the third edition of COVID-19 Mongolian Medicine Prevention and Treatment Guidance Program issued by the Inner Mongolia Autonomous Region Health Commission, using Excel 2007, SPSS Modeler 18, SPSS Statistics 25, Cytoscape 3.7.1 statistical software as a tool, the association rules analysis and cluster analysis of Mongolian medicine included in the standard were carried out. Among the 45 prophylactic prescriptions included in the standard, a total of 34 high-frequency drugs using frequency ≥5 were used, of which Carthami Flos(21 times, 4.46%), Chebulae Fructus(20 times, 4.26%), Moschus(13 times, 2.77%), Myristicae Semen(12 times, 2.55%), Santali Albi Lignum(12 times, 2.55%), and Bovis Calculus(12 times, 2.55%) were the most common. The main drugs for the prevention of COVID-19 were Liang(13 times, 38.23%), Wen(9 times, 26.47%), the flavor was Ku(20 times, 34.48%), Xin(13 times, 22.41%), Gan(11 times, 18.97%), the most used drugs treating hot evil(99 times, 32.46%), treatment of "Heyi" drugs(51 times, 16.72%), treatment of "Badagan" drugs(40 times, 13.11%), treatment of "sticky" drugs(37 times, 12.13%), and a cough, eliminating phlegm and antiasthmatic(31 times, 10.16%), the association rule analysis found that the highest association intensity of the drug pair combination of 11. Clustering analysis using the cluster analysis of inter-group join method found a total of 8 categories. In this study, 45 prescriptions of Mongolian medicine for the prevention of COVID-19 were collec-ted and further analyzed, hoping to provide new ideas for clinical diagnosis and treatment.
新型冠状病毒肺炎（COVID-19）疫情在全球迅速蔓延，影响严重。本研究对蒙药预防新型冠状病毒肺炎的方剂进行了探讨。依据内蒙古自治区卫生健康委发布的《新型冠状病毒肺炎蒙医药防治指导方案（第二版）》及《新型冠状病毒肺炎蒙医药防治指导方案（第三版）》，以Excel 2007、SPSS Modeler 18、SPSS Statistics 25、Cytoscape 3.7.1统计软件为工具，对标准中收录的蒙药进行关联规则分析及聚类分析。标准中收录的45首预防方剂共使用了34味使用频次≥5次的高频药物，其中，红花（21次，4.46%）、诃子（20次，4.26%）、麝香（13次，2.77%）、肉豆蔻（12次，2.55%）、檀香（12次，2.55%）、牛黄（12次，2.55%）最为常见。预防新型冠状病毒肺炎的主要药味为凉（13次，38.23%）、温（9次，26.47%），药味为苦（20次，34.48%）、辛（13次，22.41%）、甘（11次，18.97%），用药最多的是清热药（99次，32.46%）、调理“赫依”药（51次，16.72%）治疗“巴达干”药（40次，13.11%）、治疗“黏”病药（37次，12.13%）、止咳化痰平喘药（31次，10.16%），关联规则分析发现药物对组合关联强度最高的为11。采用组间连接法的聚类分析共发现8类。本研究收集并进一步分析了45首蒙药预防新型冠状病毒肺炎的方剂，以期为临床诊疗提供新思路。
