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444例新冠肺炎重症病例中医治疗用药规律及药效学特征分析

[Analysis of medication regularity and pharmacodynamic characteristics of traditional Chinese medicine treatment in 444 severe cases of COVID-19].

作者信息

Wang Chuan, Ming Hao, Jia Wen, Su Wen, Zhan Li-Rui, Luo Dan, Yang Jia-Yao

机构信息

Wuhan Hospital of Traditional Chinese and Western Medicine Wuhan 430022, China.

School of Medicine, Jianghan University Wuhan 430056, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2020 Jul;45(13):3007-3012. doi: 10.19540/j.cnki.cjcmm.20200427.501.

Abstract

The coronavirus disease 2019(COVID-19) is developing rapidly and posing great threat to public health. There is no effective intervention for the severe patients, and their prognosis is poor. It is worth noting that in the fight against COVID-19, China has always put equal emphasis on both Chinese and Western medicine. Traditional Chinese medicine has played an important role in the whole process. It is of great significance to discuss the rules and characteristics of the prescription of traditional Chinese medicine in the treatment of COVID-19. In this study, information was collected from 444 severe COVID-19 patients who were admitted to a hospital designated to treat patients with severe COVID-19 in Wuhan before March 20, 2020. We collected traditional Chinese medicine prescriptions for patients with severe COVID-19, referred to Chinese Pharmacopoeia to standardize the names of traditional Chinese medicine, and extract the property, flavor and channel tropism of traditional Chinese medicines to analyze the rules of the prescriptions. IBM SPSS Modeler 18.0 software was used to conduct correlation analysis of traditional Chinese medicine. Effective traditional Chinese medicines against COVID-19 was identified by the TCMATCOV platform. In the end, 1 532 effective prescriptions were included. Among them, the high-frequency drugs are Poria, Astragali Radix, Pogostemonis Herba, Armeniacae Semen Amarum, Atractylodis Macrocephalae Rhizoma, Pinelliae Rhizoma, Glycyrrhizae Radix et Rhizoma, Magnoliae Officinalis Cortex, Ephedrae Herba, Cinna-momi Ramulus. Most of the drugs have the following functions: resolving dampness, replenishing deficiency, resolving phlegm, cough, and asthma. The core combinations are Pogostemonis Herba-Poria, Astragali Radix-Pogostemonis Herba-Poria, Amomi Fructus-Poria, Amomi Fructus-Pogostemonis Herba, Amomi Fructus-Astragali Radix. The majority of the medicines are with cold and warm properties, and the proportions are 41.03% and 38.46%, respectively. The medicinal flavors are mainly concentrated in sweet and bitter, and the proportions are 34.71% and 30.58%, respectively. The meridian of the drug is more into the lung, stomach and spleen, with lung accounting for 22.87%. From the analysis of high-frequency drugs to the core combinations, one can see that the main treatment principle for severe COVID-19 is to remove internal and external dampness, protect the spleen and stomach, remove evil energy, and support righteousness. TCMATCOV platform was used to calculate the network disturbances of the high-frequency drugs. It was found that the traditional Chinese medicine with a high disturbance score accounted for a high proportion of the classic anti-COVID-19 prescriptions used by clinicians. Among them, the drugs with top scores are Ephedrae Herba, Citri Reticulatae Pericarpium, Eupatorii Herba, Platycodonis Radix, Cinnamomi Ramulus, Astragali Radix, Magnoliae Officinalis Cortex, Atractylodis Macrocephalae Rhizoma, Pogostemonis Herba, Scutellariae Radix. After a further exploration of the action targets, it was showed that disease-specific factor TNF was the target of the above ten drugs, and traditional Chinese medicine can exert anti-inflammatory and immune-modulating effects.

摘要

2019年冠状病毒病(COVID-19)发展迅速,对公众健康构成巨大威胁。对于重症患者尚无有效的干预措施,其预后较差。值得注意的是,在抗击COVID-19的过程中,中国始终坚持中西医并重。中医药在全过程中发挥了重要作用。探讨中医药治疗COVID-19的用药规律和特点具有重要意义。本研究收集了2020年3月20日前收治于武汉一家指定收治COVID-19重症患者医院的444例COVID-19重症患者的资料。我们收集了COVID-19重症患者的中药处方,参照《中国药典》规范中药名称,提取中药的性味归经以分析处方规律。使用IBM SPSS Modeler 18.0软件对中药进行相关性分析。通过TCMATCOV平台确定抗COVID-19的有效中药。最终纳入1532张有效处方。其中,高频药物有茯苓、黄芪、广藿香、苦杏仁、白术、半夏、甘草、厚朴、麻黄、桂枝。多数药物具有以下功效:祛湿、补虚、化痰、止咳、平喘。核心组合有广藿香-茯苓、黄芪-广藿香-茯苓、砂仁-茯苓、砂仁-广藿香、砂仁-黄芪。多数药物性味为寒和温,比例分别为41.03%和38.46%。药味主要集中在甘和苦,比例分别为34.71%和30.58%。药物归经多入肺、胃、脾经,入肺经者占22.87%。从高频药物分析到核心组合可以看出,COVID-19重症的主要治疗原则是祛除内外湿邪、顾护脾胃、祛邪扶正。利用TCMATCOV平台计算高频药物的网络干扰度。发现干扰度得分高的中药在临床医生使用的经典抗COVID-19处方中占比高。其中,得分靠前的药物有麻黄、陈皮、佩兰、桔梗、桂枝、黄芪、厚朴、白术、广藿香、黄芩。进一步探究作用靶点后发现,疾病特异性因子TNF是上述十种药物的作用靶点,中药可发挥抗炎和免疫调节作用。

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