基于数据挖掘的治疗肺纤维化中药用药规律分析

对治疗肺纤维化中药用药规律进行挖掘,为新型冠状病毒肺炎(COVID-19)肺纤维化的中药防治提供参考。以"肺纤维化"为主题检索符合标准的文献,使用Excel2013、SPSS Statistics23.0软件进行关联规则分析。频数分析发现,在符合筛选标准的临床治疗文献中,单味中药黄芪(148次,45.82%)、甘草(124次,38.39%)和丹参(102次,31.58%)出现频率最高;在性味统计中,温(10次,50.00%)、平(6次,30.00%)最为常见;性味归经中脾(11次,25.58%)、肺(10次,23.26%)、甘(11次,36.67%)最多;关联规则分析中得到高频关联强度中药组合6组。数据分析所得高频、高关联中药组合功效以健脾益气、温补脾肺为主,可用于阻止COVID-19初期患者向危重症期发展、预防恢复期患者因免疫力低下再次感染。

Medication rule of Chinese materia medica in treatment of pulmonary fibrosis based on data mining

To explore the medication rule of Chinese materia medica (CMM) in the treatment of pulmonary fibrosis, and provide reference for the prevention and treatment of pulmonary fibrosis in the novel coronavirus pneumonia. Using Excel 2013 and SPSS Statistics 23.0, the literatures with the theme of "pulmonary fibrosis" that met the screening criteria were searched, and the association rule analysis was carried out. Frequency analysis showed that the occurrence frequency of Astragali Radix (148, 45.82%), Glycyrrhizae Radix et Rhizoma (124, 38.39%) and Salviae Miltiorrhizae Radix et Rhizoma (102, 31.58%) was the highest in the clinical treatment literature. In the statistics of nature and flavor, warm (10 times, 50.00%) and neutral (six times, 30.00%) were the most common. The highest frequency of meridian tropism was found in the spleen (11 times, 25.58%), lung (10 times, 23.26%) and sweet (11 times, 36.67%). In the analysis of association rules, six groups of TCM combinations with high frequency correlation strength were obtained. The high frequency and high correlation CMM combinations obtained from this data analysis were mainly effective in strengthening the spleen and invigorating qi, and warming the spleen and lung, which can be used to prevent the early patients from developing to the critical stage and prevent the patients from reinfection due to low immunity in the convalescence stage.