Medication Rules and Factor Analysis for Traditional Chinese Medicine Treating Diabetic Kidney Disease Based on Data Mining

OBJECTIVE To analyze the medication rules of traditional Chinese medicine (TCM) for treating diabetic kidney disease (DKD). METHODS The article for TCM treatment for DKD in CNKI and Wanfang Med Online from January 2012 to June 2018 were searched. The data was entered into Excel 2013 to set up a database, the factor analysis and association rules were used to analyze core medication combinations by SPSS Statistics 19.0 and SPSS Modeler 14.1. RESULTS A total of 215 prescriptions were included. Totaled 28 Chinese medicines were used ≥ 30 times, the high frequency medicines were Astragali Radix, Poria cocos Wolf, Salvia miltiorrhiza Bunge, Dioscoreae Rhizoma and Angelica sinensis Diels. In terms of property of a medicine, the major Chinese medicines were cold and plain. In terms of flavour, the major Chinese medicines were sweet. In terms of meridian tropism, the major Chinese medicines were the liver and spleen. These high frequency medicines were deficiency-nourishing drugs and invigorating blood circulation and eliminating stasis drugs. Totally 12 core medication combinations were mined through association rules. Six common factors extracted from factor analysis. CONCLUSION The most commonly used drug is Astragali Radix for treating DKD. In clinical, it can be combined with Salvia miltiorrhiza Bunge and Poria cocos Wolf in the treatment of DKD. At the same time, it can supplement some medicines, such as heat-clearing drugs and invigorating blood circulation and eliminating stasis drugs and so on.