基于数据挖掘治疗宫颈高危型HPV感染的用药规律

Drug use patterns in the treatment of high-risk cervical HPV infection based on data mining

目的 利用数据挖掘方法探讨治疗宫颈高危型人乳头瘤病毒(human papilloma virus,HPV)感染的用药规律。方法收集2021年1月1日至2022年12月1日于浙江中医药大学附属丽水中医院王津门诊治疗高危型HPV感染患者的医案及处方,利用SPSS Modeler 18.0和SPSS 25.0进行药物使用频次、关联规则、聚类等数据分析。结果 共纳入处方100首,涉及中药162味,共计中药频次1445次,使用频次居前10位的药物主要为补虚药、清热药、理气药及安神药;复杂网络分析显示白花蛇舌草、陈皮、青皮、合欢皮、水牛角之间关联紧密;挖掘潜在新处方3首。结论 该病多属本虚标实,治则为标本兼治、攻补兼施,治以清热解毒燥湿、益气活血养阴,辅以养心安神。

Objective To explore the rule of drug use in treating high-risk cervical human papilloma virus(HPV)infection by using data mining method.Methods Medical records and prescriptions of patients with high-risk HPV infection treated at Wang Jin Outpatient Department of Lishui Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University from January 1,2021 to December 1,2022 were collected.SPSS Modeler 18.0 and SPSS 25.0 were used for drug use frequency,association rules,clustering and other data analysis.Results A total of 100 prescriptions were included,involving a total of 162 Chinese materia medicas,with a total of 1445 times of Chinese materia medicas.The drugs with the highest frequency of use were mainly tonic drugs,antipyretic drugs,regulating vital energy drugs and tranquillizing drugs.Complex network analysis showed that there were close correlation among hedyotis,dried tangerine peel,immature tangerine peel,silktree albizia bark and buffalo horn.Three potential new prescriptions were explored.Conclusion The disease was mostly caused by deficiency in origin and excess in pathological products,and the treatment was to treat both symptoms and root causes,and to attack and supplement,with the treatment of clearing heat and removing toxicity,eliminating dampness,benefiting qi for activating blood circulation and nourishing yin,supplemented by nourishing heart for tranquillization.