| 洪慧婕,程天阳,鲁科达.基于数据挖掘探讨鲁科达治疗肾性蛋白尿的用药规律[J].浙江中医药大学学报,2022,46(8):878-884. |
| 基于数据挖掘探讨鲁科达治疗肾性蛋白尿的用药规律 |
| Study on the Medication Rules of LU Keda in the Treatment of Renal Proteinuria Based on Data Mining |
| DOI：10.16466/j.issn1005-5509.2022.08.012 |
| 中文关键词: 肾性蛋白尿 数据挖掘 脾肾亏虚 用药规律 临床经验 鲁科达 |
| 英文关键词: renal proteinuria data mining deficiency of spleen and kidney medication rules clinical experience LU Keda |
| 基金项目:浙江省中医药科技计划重点研究项目(2020ZZ008)；浙江省中医药科技计划现代化专项项目(2021ZX007)；全国中医药创新骨干人才培训项目(国中医药人教函[2019]128号) |
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| 中文摘要: |
| [目的] 探讨鲁科达教授治疗肾性蛋白尿的用药规律，归纳总结其组方经验，以供临床参考。[方法] 收集2018年1月至2020年12月鲁教授中医门诊的肾性蛋白尿医案，以Microsoft Excel 2019软件将处方信息转化为可分析的结构化数据，并建立相关数据库，利用频次统计分析、关联规则分析、聚类分析对高频药物、四气五味归经、高频药对、核心组方进行数据挖掘。[结果] 共纳入肾性蛋白尿病例691则，处方3 750首，共涉及中药261味，将使用频次前34味的药物作为高频药物，如黄芪、党参、白术、山药、茯苓、山茱萸、甘草、薏苡仁、地黄、川牛膝、青风藤、地龙等。利用关联规则分析得到高频药对20组，通过聚类分析演化得到4个核心组方。[结论] 鲁教授治疗肾性蛋白尿以补肾健脾、清热利湿、消瘀泄浊为主。 |
| 英文摘要: |
| [Objective] To explore the medication rules of Professor LU Keda in the treatment of renal proteinuria and summarize his prescription experience for clinical reference. [Methods] The medical records of renal proteinuria in Professor LU‘s traditional Chinese medicine(TCM) outpatient clinic from January 2018 to December 2020 were collected，the prescription information was transformed into analyzable structured data with Microsoft Excel 2019 software，and the relevant database was established. The frequency statistical analysis，association rule analysis and cluster analysis were used to mine the data of high-frequency herbs， four properties， five tastes，channel distributions of herbs， high-frequency herb pairs and core prescriptions. [Results] There are 691 cases of renal proteinuria were included，with 3 750 prescriptions，involving 261 herbs. The top 34 herbs frequent in use were selected as high-frequency herbs，such as Astragali Radix，Codonopsis Radix，Atractylodis Macrocephalae Rhizoma，Dioscoreae Rhizoma，Poria Cocos，Corni Fructus，Glycyrrhizae Radix et Rhizoma，Coicis Semen，Rehmanniae Radix，Cyathulae Radix，Caulis Sinomenii，Pheretima，etc. Twenty groups of high-frequency herb pairs were obtained by association rule analysis，and four core prescriptions were obtained by cluster analysis. [Conclusion] Professor LU‘s treatment of renal proteinuria is mainly tonifying the kidney and spleen，clearing heat and removing dampness，eliminating blood stasis and turbidity. |
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