Medical Experience Communications
Qing XU, Yun-fei LI, Xi CHEN, Kan ZE, Ye TANG, Ya-nan ZHANG
Objective: To organize and summarize the medication rules of GU Nai-fang in treating skin diseases through real-world data. Methods: We collected traditional Chinese medicine prescriptions for GU Nai-fang's treatment of skin diseases from the outpatient medical record system of Shanghai Traditional Chinese Medicine Hospital to establish a database. Statistical analysis of disease types, performance, and efficacy was conducted, and association rules and systematic clustering analysis were performed using SPSS Modeler 18.0 and SPSS 26.0 software, respectively. Results: A total of 5 020 patients were included, and 5 020 prescriptions were collected, involving 241 traditional Chinese medicines with a total frequency of 85 758 uses. The frequency of using heat clearing drugs, deficiency tonifying drugs, blood activating and stasis removing drugs, surface clearing drugs, and wind and dampness dispelling drugs was relatively high; most drugs tended to be cold and warm, mainly targeting the heart, lungs, and colon meridians. The top 15 Chinese medicines with the highest frequency of use were Smilacis Glabrae Rhixoma, Cortex Moutan, Radix Paeoniae Rubra, Rehmanniae Radix, Scutellariae Radix, Cynanchi Paniculati Radix et Rhizoma, Schisandrae Chinensis Fructus, Violsse Herba, Mume Fructus, Herba Pyrolae, Hedyotis Diffusae Herba, Lonicerae Japonicae Flos, Cicadae Periostracum, Bombyx Batryticatus, Radix Salviae. Association rule analysis obtained 15 high-frequency combinations of 2 traditional Chinese medicines and 3 traditional Chinese medicines. Cluster analysis resulted in 7 clustered prescriptions. Conclusion: GU Nai-fang commonly used heat clearing drugs, deficiency tonifying drugs, blood activating and stasis removing drugs, surface resolving drugs, and wind and dampness dispelling drugs in the treatment of skin diseases, and Smilacis Glabrae Rhixoma, Cortex Moutan, Radix Paeoniae Rubra, Rehmanniae Radix, and Scutellariae Radix were the most frequently used drugs.