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基于关联规则挖掘仝小林院士《脾瘅新论》用药规律

郑景辉 李丽娟 黄飞剑 陈旋 雷烨 朱向东 刘文科

数字中医药(英文)2022,Vol.5Issue(1):33-48,16.
数字中医药(英文)2022,Vol.5Issue(1):33-48,16.DOI:10.1016/j.dcmed.2022.03.004

基于关联规则挖掘仝小林院士《脾瘅新论》用药规律

The prescription rule analysis of the New Theory on Spleen Dampness Syndrome by Academician TONG Xiaolin

郑景辉 1李丽娟 1黄飞剑 2陈旋 1雷烨 3朱向东 4刘文科5

作者信息

  • 1. 广西中医药大学附属瑞康医院心血管科, 广西 南宁530011, 中国
  • 2. 北京市东城中医医院内科, 北京 100013, 中国
  • 3. 陕西中医药大学第二附属医院内分泌科, 陕西 咸阳 712000, 中国
  • 4. 宁夏医科大学中医学院, 宁夏 银川 750004, 中国
  • 5. 中国中医科学院广安门医院内分泌科, 北京 100053, 中国
  • 折叠

摘要

Abstract

Objective To analyze the basic characteristics, drug features, prescription rules, and drug-symptom relationships of patients in the splenic deficiency and impairment stage, by data mining of medical records under the New Theory on Spleen Dampness Syndrome (Pi Dan Xin Lun, 《脾瘅新论》).Methods Medical records listed in the "New Theory on Spleen Dampness Syndrome – Under-standing and Treatment of Metabolic Syndrome from the Perspective of Traditional Chinese Medicine", and which were diagnosed with the spleen dampness syndrome at the splenic de-ficiency and impairment stage, during January 2004 and December 2016 were selected. These patients' data, including basic information, clinical symptoms, laboratory examination res-ults, traditional Chinese medicine (TCM) and western medicine diagnoses, treatment meth-ods, prescriptions, etc., were collected. The collected data were subsequently compiled into a medical record database using the Epidata 3.1 data management software, followed by the use of Apriori algorithm provided in the SPSS Modeler 14.2 statistical software to investigate the association rules between drug-drug, drug-symptom, and drug-western medicine indices. Results (i) A total of 51 medical records were included, involving 17 types of syndromes. Among them, the top three with frequency ≥ 3 included "Phlegm and blood stasis, and thoracic obstruction" "Deficiency-weakness of the spleen Qi, and static blood blocking collat-erals", and "Deficiency-weakness of the spleen Qi, and static blood blocking collaterals". Al-ternatively, of the 14 treatment methods, the top three treatments with frequency of ≥ 3 in-cluded "Activating Yang and eliminating turbidity, and removing phlegm and dredging chan-nel blockage" "Strengthening the spleen and benefiting Qi, and eliminating phlegm to activ-ate the channels", and "Warming Yang and benefiting Qi, and expelling cold to remove ob-structions". Among the 15 prescriptions, the top three used with frequency ≥ 3 included Huangqi Guizhi Wuwu Tang (黄芪桂枝五物汤), Gualou Xiebai Banxia Tang (瓜蒌薤白半夏汤), and Ganjiang Huangqin Huanglian Renshen Tang (干姜黄芩黄连人参汤). Lastly, of the 83 drugs used for a total of 476 times, those with frequency ≥ 15 included Huanglian (Coptid-is Rhizoma), Huangqi (Astragali Radix), Jiudahuang (Wine-processed Rhei Radix et Rhizoma), Jixueteng (Spatholobi Caulis), Shengjiang (Zingiberis Rhizoma Recens), Huangqin (Scutellariae Radix), and Guizhi (Cinnamomi Ramulus). (ii) For the drug-drug associations, under the criteria of support ≥ 15% and confidence = 100%, seven second-order association rules, seven third-order rules, and six fourth-order roles were identified. The top-ranking rule of each was "Huangqin (Scutellariae Radix) → Huanglian (Coptidis Rhizoma)" "Ganjiang (Zingiberis Rhizoma) + Huangqin (Scutellariae Radix) → Huanglian (Coptidis Rhizoma)", and "Baishao (Paeoniae Radix Alba) + Guizhi (Cinnamomi Ramulus) + Jixueteng (Spatho-lobi Caulis) → Huangqin (Scutellariae Radix)", respectively. Alternatively, the drug-symptom associations were analyzed under the criteria of support ≥ 5% and confidence = 100%, which derived eight second-order association rules, 31 third-order rules, and 30 fourth-order rules. The top-ranking association rule of each order was "Huangqi (Astragali Radix) → Limb ed-ema" "Guizhi (Cinnamomi Ramulus) + Jixueteng (Spatholobi Caulis) → Limb numbness and pain", and "Guizhi (Cinnamomi Ramulus) + Jixueteng (Spatholobi Caulis) + Huangqi (As-tragali Radix) → Limb numbness and pain", respectively. Similarly, the drug-western medi-cine index associations were investigated under the criteria of support ≥ 5% and confidence =100%, and five second-order association rules, 16 third-order rules, and 16 fourth-order rules were identified. In this category, the top-ranking association rule of each order was "Qinpi (Fraxini Cortex) → Uric acid" "Huanglian (Coptidis Rhizoma) + Ganjiang (Zingiberis Rhizoma) → Glycated hemoglobin", and "Huanglian (Coptidis Rhizoma) + Ganjiang (Zing-iberis Rhizoma) + Huangqin (Scutellariae Radix) → Glycated hemoglobin", respectively.Conclusion Through association rule mining, this study objectively and quantitatively demonstrated the drug-drug, drug-symptom, and drug-physicochemical index associations of patients with the spleen dampness syndrome at the splenic deficiency and impairment stage treated by Academician TONG Xiaolin. The results indicated that treatment for these patients adopted the "state-target" syndrome differentiation method. The drug combination was characterized by "small prescriptions", targeting both the patient's symptoms and signs (syndrome target) and western medicine indices (treatment target). This study could provide references for future research on the academic thoughts and medical experience of Academi-cian TONG Xiaolin.

关键词

仝小林/脾瘅/《脾瘅新论》/虚损阶段/数据挖掘/关联规则

Key words

TONG Xiaolin/Spleen dampness syndrome/New Theory on Spleen Dampness Syn-drome (Pi Dan Xin Lun, 《脾瘅新论》)/Deficiency and impairment stage/Data mining/Association rules

引用本文复制引用

郑景辉,李丽娟,黄飞剑,陈旋,雷烨,朱向东,刘文科..基于关联规则挖掘仝小林院士《脾瘅新论》用药规律[J].数字中医药(英文),2022,5(1):33-48,16.

基金项目

The Construction of First-class Integrated Traditional Chinese and western Medicine Disciplines in Guangxi(Scientific Research Project No.12 of Guangxi Ministry of Education[2018]),and Qihuang High-level Talent Team Training Projects of Guangxi University of Chinese Medi-cine?Application of Systems Biology in Chinese Medi-cine Research(2021005). (Scientific Research Project No.12 of Guangxi Ministry of Education[2018])

数字中医药(英文)

OACSCD

2096-479X

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