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Complex Networks Approach for Analyzing the Correlation of Traditional Chinese Medicine Syndrome Evolvement and Cardiovascular Events in Patients with Stable Coronary Heart Disease

This is a multicenter prospective cohort study to analyze the correlation of traditional Chinese medicine (TCM) syndrome evolvement and cardiovascular events in patients with stable coronary heart disease (CHD). The impact of syndrome evolvement on cardiovascular events during the 6-month and 12-mon...

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Autores principales: Gao, Zhuye, Li, Siwei, Shang, Qinghua, Jiao, Yang, Zhou, Xuezhong, Fu, Changgeng, Xu, Hao, Shi, Dazhuo, Chen, Keji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4363617/
https://www.ncbi.nlm.nih.gov/pubmed/25821500
http://dx.doi.org/10.1155/2015/824850
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author Gao, Zhuye
Li, Siwei
Shang, Qinghua
Jiao, Yang
Zhou, Xuezhong
Fu, Changgeng
Xu, Hao
Shi, Dazhuo
Chen, Keji
author_facet Gao, Zhuye
Li, Siwei
Shang, Qinghua
Jiao, Yang
Zhou, Xuezhong
Fu, Changgeng
Xu, Hao
Shi, Dazhuo
Chen, Keji
author_sort Gao, Zhuye
collection PubMed
description This is a multicenter prospective cohort study to analyze the correlation of traditional Chinese medicine (TCM) syndrome evolvement and cardiovascular events in patients with stable coronary heart disease (CHD). The impact of syndrome evolvement on cardiovascular events during the 6-month and 12-month follow-up was analyzed using complex networks approach. Results of verification using Chi-square test showed that the occurrence of cardiovascular events was positively correlated with syndrome evolvement when it evolved from toxic syndrome to Qi deficiency, blood stasis, or sustained toxic syndrome, when it evolved from Qi deficiency to blood stasis, toxic syndrome, or sustained Qi deficiency, and when it evolved from blood stasis to Qi deficiency. Blood stasis, Qi deficiency, and toxic syndrome are important syndrome factors for stable CHD. There are positive correlations between cardiovascular events and syndrome evolution from toxic syndrome to Qi deficiency or blood stasis, from Qi deficiency to blood stasis, or toxic syndrome and from blood stasis to Qi deficiency. These results indicate that stable CHD patients with pathogenesis of toxin consuming Qi, toxin leading to blood stasis, and mutual transformation of Qi deficiency and blood stasis are prone to recurrent cardiovascular events.
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spelling pubmed-43636172015-03-29 Complex Networks Approach for Analyzing the Correlation of Traditional Chinese Medicine Syndrome Evolvement and Cardiovascular Events in Patients with Stable Coronary Heart Disease Gao, Zhuye Li, Siwei Shang, Qinghua Jiao, Yang Zhou, Xuezhong Fu, Changgeng Xu, Hao Shi, Dazhuo Chen, Keji Evid Based Complement Alternat Med Research Article This is a multicenter prospective cohort study to analyze the correlation of traditional Chinese medicine (TCM) syndrome evolvement and cardiovascular events in patients with stable coronary heart disease (CHD). The impact of syndrome evolvement on cardiovascular events during the 6-month and 12-month follow-up was analyzed using complex networks approach. Results of verification using Chi-square test showed that the occurrence of cardiovascular events was positively correlated with syndrome evolvement when it evolved from toxic syndrome to Qi deficiency, blood stasis, or sustained toxic syndrome, when it evolved from Qi deficiency to blood stasis, toxic syndrome, or sustained Qi deficiency, and when it evolved from blood stasis to Qi deficiency. Blood stasis, Qi deficiency, and toxic syndrome are important syndrome factors for stable CHD. There are positive correlations between cardiovascular events and syndrome evolution from toxic syndrome to Qi deficiency or blood stasis, from Qi deficiency to blood stasis, or toxic syndrome and from blood stasis to Qi deficiency. These results indicate that stable CHD patients with pathogenesis of toxin consuming Qi, toxin leading to blood stasis, and mutual transformation of Qi deficiency and blood stasis are prone to recurrent cardiovascular events. Hindawi Publishing Corporation 2015 2015-03-03 /pmc/articles/PMC4363617/ /pubmed/25821500 http://dx.doi.org/10.1155/2015/824850 Text en Copyright © 2015 Zhuye Gao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gao, Zhuye
Li, Siwei
Shang, Qinghua
Jiao, Yang
Zhou, Xuezhong
Fu, Changgeng
Xu, Hao
Shi, Dazhuo
Chen, Keji
Complex Networks Approach for Analyzing the Correlation of Traditional Chinese Medicine Syndrome Evolvement and Cardiovascular Events in Patients with Stable Coronary Heart Disease
title Complex Networks Approach for Analyzing the Correlation of Traditional Chinese Medicine Syndrome Evolvement and Cardiovascular Events in Patients with Stable Coronary Heart Disease
title_full Complex Networks Approach for Analyzing the Correlation of Traditional Chinese Medicine Syndrome Evolvement and Cardiovascular Events in Patients with Stable Coronary Heart Disease
title_fullStr Complex Networks Approach for Analyzing the Correlation of Traditional Chinese Medicine Syndrome Evolvement and Cardiovascular Events in Patients with Stable Coronary Heart Disease
title_full_unstemmed Complex Networks Approach for Analyzing the Correlation of Traditional Chinese Medicine Syndrome Evolvement and Cardiovascular Events in Patients with Stable Coronary Heart Disease
title_short Complex Networks Approach for Analyzing the Correlation of Traditional Chinese Medicine Syndrome Evolvement and Cardiovascular Events in Patients with Stable Coronary Heart Disease
title_sort complex networks approach for analyzing the correlation of traditional chinese medicine syndrome evolvement and cardiovascular events in patients with stable coronary heart disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4363617/
https://www.ncbi.nlm.nih.gov/pubmed/25821500
http://dx.doi.org/10.1155/2015/824850
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