主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

JOURNAL OF BEIJIGN UNIVERSITY OF TRADITIONAL CHINE ›› 2018, Vol. 41 ›› Issue (8): 681-688.doi: 10.3969/j.issn.1006-2157.2018.08.011

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Senior prestigious TCM practitioners’ experience in the treatment of chronic bronchitis: analysis of medicinals based on latent structure*

Chen Liping1, Li Jiansheng2#,Cai Yongmin3, Bian Hua1   

  1. 1 Nanyang Institute of Technology, Henan Key Laboratory of Zhang Zhongjing Formulae and Herbs for Immuoregulation, Henan 473004, China;
    2 Respiratory disease diagnosis and treatment and new drug research and development synergy innovation center of Henan Province, Henan University of Traditional Chinese Medicine, Henan 450046, China;
    3 School of Basic Medicine, Nanjing University of Chinese Medicine, Jiangsu 210046, China
  • Received:2018-02-03 Online:2018-08-30 Published:2018-08-30
  • Supported by:
    Young Scientists Fund of National Science Foundation of China(No.81704200),Science and Technology Tackling Project of Henan Province(No.172102310422),Postdoctoral Scientific Research Project of Henan Province(No.00104257),Traditional Chinese Medicine Research Initiative of Henan Province(No.2015ZY02003)

Abstract: Objective To explore causes, mechanisms, symptoms, and commonly-used medicinals for chronic bronchitis from the viewpoint of senior prestigious traditional Chinese medicine practitioner in Beijing-Tianjin-Hebei Region. Methods 346 chronic bronchitis cases in Beijing-Tianjin-Hebei region were obtained from the database of lung disease cases treated by modern senior TCM practitioners. The Lantern software 3.1.2 was used to construct the latent model of chronic bronchitis symptoms and commonly-used medicinals. The association of medicinal-symptom, and medicinal combination was explored by using SAS software 9.1. Results 110 observable variables (pattern, tongue and pulse) in first contact of the 346 cases were collected and constructed as a latent model, and 17 latent variables, 35 hidden classes and 6 comprehensive clustering models were obtained. 27 latent variables, 55 hidden classes and 7 comprehensive cluster models were obtained from 137 medicinal models. Associations between medication and disease were identified at 5% minimum support degree and 60% confidence level, and 74 groups of 2 medicinals, 273 groups of 3 medicinals, and 411 groups of 4 medicinals were obtained. Constitutions of chronic bronchitis patients from the Beijing-Tianjin-Hebei region were featured by“upper dryness, middle dampness and lower deficiency”. Common patterns of chronic bronchitis include phlegm-heat pattern, lung yin deficiency pattern, and wind-heat invading the lung pattern; Core symptoms of chronic bronchitis involved cough, panting, phlegm, and white sputum; Core medicinals includes pinellis rhizome, bitter apricot kernel (Kuzingren, Semen Armeniacae Amarum) and ephedra (Mahuang, Herba Ephedrae); Core formula includes Sanzi Yangqi Tang (Three-Seed Filial Devotion Decoction), Er Chen Tang (Two Matured Substancess Decoction), and Xiao Qing Long Tang (Minor Green Dragon Decoction). Conclusion Implicit structure model integrated application of multidimensional clustering and Bayesi network It can solve the lack of Objective and quantitative preblems in TCM syndrome differentiation, and it conforms to the nonlinear thinking of TCM. therefore, it can be used to explore the academic experience of famous old Chinese medicine.

Key words: Latent structure model, Beijing-Tianjin-Hebei region, chronic bronchitis, senior prestigious TCM practitioner, medical records, data mining

CLC Number: 

  • R256.1