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基于数据挖掘技术探讨中药治疗高血压合并抑郁症的用药规律
Medication rules of Traditional Chinese Medicine for the treatment of hypertension and concomitant depression: an exploration based on data mining technique

广西医学 2023第45卷14期 页码:1705-1710+1734

作者机构:曾阳琨,硕士,住院医师,研究方向:中药治疗心血管疾病。

  • 中文简介
  • 英文简介
  • 参考文献
目的基于数据挖掘技术探讨中药治疗高血压合并抑郁症的用药规律。方法在中国知网、万方数据知识服务平台、维普中文期刊服务平台上检索中药治疗高血压合并抑郁症的相关文献,收集治疗高血压合并抑郁症的方剂及所含中药。采用Microsoft Excel 2019软件对中药的使用频次、药性、药味、归经、功效进行描述性统计,采用SPSS Clementine 12.0软件对高频中药(使用频次≥20次的中药)进行关联规则分析,采用SPSS Statistics 25.0软件对高频中药进行系统聚类分析。结果共纳入153篇文献,共有153首方剂,涉及148味中药。共有34味高频中药,其中使用频次最高的前5味中药依次是茯苓、当归、白术、甘草、栀子。148味中药的药性以温、寒、平为主,药味以甘、苦、辛为主,归经以肝经、心经、脾经、肺经、肾经为主,药效以补益、安神、清热、平肝息风、解表为主。通过关联规则分析得到二联药对22组、三联药物组合40组,其中支持度较高的二联药对有当归→白术、酸枣仁→当归,置信度较高的二联药对为龙骨→牡蛎、薄荷→当归;支持度较高的三联药物组合有白术+当归→茯苓、酸枣仁+当归→白术,置信度较高的三联药物组合有生姜+白术→当归、酸枣仁+白术→当归。通过系统类分析将34味高频中药聚类为6类。结论中药治疗高血压合并抑郁症的核心药物主要出自归脾汤,以补益气血、疏肝解郁、安神定志为治疗原则。
ObjectiveTo explore the medication rules of Traditional Chinese Medicine for the treatment of hypertension and concomitant depression based on data mining technique. MethodsLiterature related to Traditional Chinese Medicine for treating hypertension and concomitant depression was retrieved form the China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, and VIP database, and prescriptions and their Traditional Chinese Medicine contained for the treatment of hypertension and concomitant depression were collected. The Microsoft Excel 2019 software was used to statistically describe on the use frequency, drug property, drug flavor, meridian entry, and effect of Traditional Chinese Medicine. The association rule analysis was performed on high-frequency Traditional Chinese Medicines (Traditional Chinese Medicines with use frequency≥20 times) by using the SPSS Clementine 12.0 software. The systematic cluster analysis was performed on high-frequency Traditional Chinese Medicines by employing the SPSS Statistics 25.0 software. ResultsA total of 153 literature was enrolled, and there were 153 prescriptions in total, concerning 148 flavors of Traditional Chinese Medicines. There were 34 flavors of high-frequency Traditional Chinese Medicines in total, therein the top 5 Traditional Chinese Medicines with the highest use frequency were Poria cocos, Angelica sinensis radix, Atractylodes macrocephala, Licorice, and Gardenia fructus. The drug properties of 148 flavors of Traditional Chinese Medicines were mainly warm, pathogenic cold, and moderate, drug flavors were mainly sweet, bitter, and acrid, meridian entries were mainly liver meridian, heart meridian, spleen meridian, lung meridian, and renal meridian, drug effects were mainly tonifying and replenishing, mind calming, heat clearing, liver pacifying to subside internal wind, and the exterior releasing. A total of 22 groups of two-drug pair, and 40 groups of three-drug goup were obtained through the association rule analysis, therein the two-drug pairs with a relatively high support were Angelica sinensis radix→Atractylodes macrocephala, Ziziphi spinosae semen→Angelica sinensis radix, the two-drug pairs with a relatively high confidence were Ossa draconis→Concha ostreae, Menthae herba→Angelica sinensis radix; in addition, the three-drug groups with a relatively high support were Atractylodes macrocephala+Angelica sinensis radix→Poria cocos, Ziziphi spinosae semen+Angelica sinensis radix→Atractylodes macrocephala, the three-drug groups with a relatively high confidence were Zingiber officinale roscoe+Atractylodes macrocephala→Angelica sinensis radix, Ziziphi spinosae semen+Atractylodes macrocephala→Angelica sinensis radix. By systematic cluster analysis, 34 high-frequency Traditional Chinese Medicines were clustered into 6 categories. ConclusionThe core drugs of Traditional Chinese Medicine for the treatment of hypertension and concomitant depression are mainly from Guipi Decoction, taking tonifying and replenishing qi and blood, liver smoothing to remove stagnancy of liver qi, and mind calming as the therapeutic principle.

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