| 作者单位 |
1. School of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China; 2. Department of Pharmacy, the Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang 550003, China |
| 摘要 |
[Objectives] This study was conducted to analyze the medication rules of clinical prescriptions of traditional Chinese medicine decoction pieces for the treatment of novel coronavirus pneumonia (COVID-19) during the epidemic in multiple regions based on data mining technology, so as to provide a reference for the treatment of COVID-19 with traditional Chinese medicine. [Methods] The traditional Chinese medicine prescriptions used since the outbreak of COVID-19 in Hubei Province during the fight against the epidemic from February 25, 2020 to February 14, 2022, the traditional Chinese medicine prescriptions used by Guizhou traditional Chinese medicine expert team aiding Hubei Province, the traditional Chinese medicine prescriptions for rehabilitation and conditioning of patients in Ezhou of Hubei Province after discharge, the traditional Chinese medicine prescriptions for the prevention and treatment of COVID-19 in Guizhou Province, and the traditional Chinese medicine prescriptions for the treatment of COVID-19 collected from the end of 2019 to the present from the Chinese database of CNKI were collected as the data of this study. Excel was used to establish a database and enter it into the TCM inheritance calculation platform V3.5, and the association rules and k-means clustering algorithm were used to analyze the frequency of herbal medicines in prescriptions during the treatment of COVID-19, the frequency of four natures, five flavors, meridian distribution, and drug combinations. [Results] A total of 1 859 COVID-19 patients treated with traditional Chinese medicine were included, and the proportion of males was higher than that of females, and middle-aged and elderly people were the most common group. A total of 2 170 prescriptions of traditional Chinese medicine were included, involving a total of 383 traditional Chinese medicines. High-frequency medicines included poria, Radix Bupleuri, Radix Scutellariae, Herba Pogostemonis, Fructus Forsythiae, Flos Loniceraeetc. The four natures were mainly concentrated in cold, warm and neutral, and the five flavors were mainly concentrated in bitter, pungent and sweet. The herbal medicines were mainly attributed to the lungs and stomach meridians, and were mainly of heat-clearing, exterior syndrome-relieving and diuresis-promoting and damp-clearing types. A total of 24 high-frequency herbal combinations and 35 association rule were excavated, and 3 types of formulas were obtained by cluster analysis. [Conclusions] The analysis results and medicine combinations obtained in the formulas are consistent with the traditional Chinese medicine treatment theory of COVID-19 caused by wind-heat filth accompanied with damp and toxin. |
