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A novel model for exploring the correlation between patterns and prescriptions in clinical practice of traditional Chinese medicine for systemic lupus erythematosus.
Liu, Chia-Yu; Wu, Wen-Hsiang; Huang, Tzu-Ping; Lee, Tzung-Yan; Chang, Hen-Hong.
Afiliación
  • Liu CY; Institute of Traditional Medicine, National Yang-Ming University, Taipei, Taiwan; Linsen and Chinese Medicine Branch, Taipei City Hospital, Taipei, Taiwan; School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Wu WH; Department of Healthcare Management, Yuanpei University, Hsinchu, Taiwan.
  • Huang TP; School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Lee TY; School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Chang HH; School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital at Taoyuan, Chang Gung Medical Foundation, Taiwan. Electronic address: tcmchh55@gmail.com.
Complement Ther Med ; 22(3): 481-8, 2014 Jun.
Article en En | MEDLINE | ID: mdl-24906588
OBJECTIVES: Traditional Chinese medicines in treating systemic lupus erythematosus are not uncommon. However, logic of pattern diagnosis and consensus on treating this disease is lacking. This study aimed to explore the correlation between the pattern diagnosis of and its corresponding prescription in systemic lupus erythematosus. DESIGN: Clinical data including patterns and prescriptions from the electronic medical records of lupus patients in a medical center were collected. Using a specific coding system (B-code) to encode the patterns and prescriptions provided a platform for data processing and statistics, and nonlinear canonical correlation analysis was employed to examine the correlation between them. RESULTS: In the 261 valid visits collected, a total of 46 patterns and 193 prescriptions were encoded into 57 B-codes. In our database, "Yin, Vacuity, Heat, and Dampness" were the most common B-codes (more than 90%) in both patterns and prescriptions. "Anemarrhena, Phellodendron, and Rehmannia Pill (Zhi-Bai-Di-Huang-Wan)" and "Miltiorrhizae Radix (Dan-Shen)" were the most frequently used formula (52%) and herb (48%), respectively. Water-rheum, kidney, and stasis were among the three most effective variable sets for correlating the patterns and prescriptions. CONCLUSION: By using B-code with nonlinear canonical correlation analysis, the clinical dataset can be examined to shed light on the logic of pattern differentiation and principle of treatment for a specific disease.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Codificación Clínica / Lupus Eritematoso Sistémico / Medicina Tradicional China Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Complement Ther Med Asunto de la revista: TERAPIAS COMPLEMENTARES Año: 2014 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Codificación Clínica / Lupus Eritematoso Sistémico / Medicina Tradicional China Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Complement Ther Med Asunto de la revista: TERAPIAS COMPLEMENTARES Año: 2014 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Reino Unido