Professor YANG Zhong-qi's prescription patterns for hypertension based on latent structure model and association rule analysis.
10.19540/j.cnki.cjcmm.20250212.502
- Author:
Hui-Lin LIU
1
;
Shi-Hao NI
2
;
Xiao-Jiao ZHANG
1
;
Wen-Jie LONG
3
;
Xiao-Ming DONG
3
;
Zhi-Ying LIU
3
;
Hui-Li LIAO
3
;
Zhong-Qi YANG
4
Author Information
1. State Key Laboratory of Traditional Chinese Medicine Syndrome, the First Affiliated Hospital of Guangzhou University of Chinese Medicine Guangzhou 510006, China.
2. State Key Laboratory of Traditional Chinese Medicine Syndrome, the First Affiliated Hospital of Guangzhou University of Chinese Medicine Guangzhou 510006, China Guangdong Provincial Hospital of Traditional Chinese Medicine Guangzhou 510407, China.
3. Geriatrics Department, the First Affiliated Hospital of Guangzhou University of Chinese Medicine Guangzhou 510400, China.
4. State Key Laboratory of Traditional Chinese Medicine Syndrome, the First Affiliated Hospital of Guangzhou University of Chinese Medicine Guangzhou 510006, China Geriatrics Department, the First Affiliated Hospital of Guangzhou University of Chinese Medicine Guangzhou 510400, China.
- Publication Type:Journal Article
- Keywords:
association rules;
hypertension;
latent structure;
medication patterns
- MeSH:
Hypertension/drug therapy*;
Drugs, Chinese Herbal/therapeutic use*;
Humans;
Medicine, Chinese Traditional;
Drug Prescriptions;
Latent Class Analysis
- From:
China Journal of Chinese Materia Medica
2025;50(10):2865-2874
- CountryChina
- Language:Chinese
-
Abstract:
Based on latent structure model and association rule analysis, this study investigates the prescription patterns used by professor YANG Zhong-qi in treating hypertension with traditional Chinese medicine(TCM) and infers the associated TCM syndromes, providing a reference for clinical syndrome differentiation and treatment. The observation window spanned from January 8, 2013, to June 26, 2024, during which qualified herbal decoction prescriptions meeting efficacy criteria were extracted from the outpatient medical record system of the First Affiliated Hospital of Guangzhou University of Chinese Medicine and compiled into a standardized database. Statistical analysis of high-frequency herbs included frequency counts and herbal property-channel tropism analysis. Latent structure modeling and association rule analysis were performed using R 4.3.2 and Lantern 5.0 software to identify core herbal combinations and infer TCM syndrome patterns. A total of 2 436 TCM prescriptions were included in the study, involving 263 drugs with a cumulative frequency of 29 783. High-frequency herbs comprised Uncariae Ramulus cum Uncis, Poria, Glycyrrhizae Radix et Rhizoma, Puerariae Lobatae Radix, and Alismatis Rhizoma, predominantly categorized as deficiency-tonifying, heat-clearing, and blood-activating and stasis-resolving herbs. Latent structure analysis identified 18 latent variables, 74 latent classes, 5 comprehensive clustering models, and 15 core herbal combinations, suggesting that the core syndrome clusters include liver Yang hyperactivity pattern, Yin deficiency with Yang hyperactivity pattern, phlegm-stasis intermingling pattern, and liver-kidney insufficiency pattern. Association rule analysis revealed 22 robust association rules. RESULTS:: indicate that hypertension manifests as a deficiency-rooted excess manifestation, significantly associated with functional dysregulation of the liver, lung, spleen-stomach, heart, and kidney. Key pathogenic mechanisms involve liver Yang hyperactivity, phlegm-stasis interaction, and liver-kidney insufficiency. Therapeutic strategies should prioritize liver-calming, spleen-fortifying, and deficiency-tonifying principles, supplemented by dynamic regulation of Qi-blood and Yin-Yang balance according to syndrome evolution, alongside pathogen-eliminating methods such as phlegm-resolving and stasis-dispelling. Synergistic interventions like mind-tranquilizing therapies should be tailored to individual conditions.
