Vessel-collateral Theory Guided Rules of Syndrome and Treatment of Cardiovascular Event Chain Based on Medical Record Data Mining and Analysis
10.13422/j.cnki.syfjx.20220651
- VernacularTitle:基于脉络学说指导和医案数据挖掘的心血管事件链证治规律分析
- Author:
Yujie YIN
1
;
Liping CHANG
1
;
Yao ZHU
2
;
Zhenhua JIA
1
Author Information
1. National Key Laboratory of Collateral Disease Research and Innovative Traditional Chinese Medicine （TCM），Shijiazhuang 050035，China
2. Nanjing University of Chinese Medicine，Nanjing 210029，China
- Publication Type:Journal Article
- Keywords:
vessel-collateral theory;
Yingwei theory;
cardiovascular event chain;
rules of syndrome and treatment;
FP-Growth correlation analysis;
frequency deconstruction;
cluster analysis
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2022;28(18):144-151
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo explore the rules of syndrome and treatment of cardiovascular event chain based on the results of data mining of medical records under the guidance of vessel-collateral theory. MethodMulti-source database research method was used to retrieve the medical records related to metabolic syndrome， angina pectoris of coronary heart disease， post-intervention of myocardial infarction， arrhythmia after myocardial infarction and heart failure after myocardial infarction between database inception and January 2022 from PubMed， China National Knowledge Infrastructure （CNKI）， Wanfang Data Knowledge Service Platform （Wanfang Data）， VIP and China Biomedical Literature Service System （SinoMed）. The fields of name， age， gender， symptoms， tongue image， pulse image， drug and disease location were extracted from these medical records， and drug efficacy classification and syndrome classification were determined based on vessel-collateral theory. The rules of syndrome and treatment of cardiovascular event chain were analyzed by data mining methods such as frequency deconstruction， systematic cluster analysis and FP-Growth association analysis. ResultThe above five key pathological links in the chain of cardiovascular event chain all showed symptoms related to the disorder of Yingwei. The proportion of dampness， phlegm， blood stasis and water secondary to the disorder of Yingwei in the above five key pathological links was different， and the frequency of corresponding drug combinations was also different. ConclusionThe disorder of Yingwei is the initiating factor of cardiovascular event chain and runs through the whole process. The abnormality of Yingwei at the terminal of vessel-collateral may lead to the disorder of Qi， blood， body fluid and essence transportation and metabolism. Body fluid accumulates into dampness， dampness accumulates into phlegm， blood stagnation accumulates into blood stasis， blood stasis accumulates into water， which becomes an internal driving factor to promote the development and aggravation of cardiovascular event chain. It leads to the transmission law of Ning-Yong-Sai-Butong， which constitutes the core pathogenesis of the development and evolution of the five key pathological links of cardiovascular event chain.
