scholarly journals A 5-Year Survival Prediction Model for Chronic Heart Failure Patients Induced by Coronary Heart Disease with Traditional Chinese Medicine Intervention

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hui Guan ◽  
Guo-Hua Dai ◽  
Wu-Lin Gao ◽  
Xue Zhao ◽  
Zhen-Hao Cai ◽  
...  
Keyword(s):  
Heart Failure ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Chinese Medicine ◽  
Chronic Heart Failure ◽  
Traditional Chinese Medicine ◽  
Prediction Model ◽  
Protective Factor ◽  
Survival Prediction ◽  
Training Set

Objective. This study aimed to construct a 5-year survival prediction model of coronary heart disease (CHD) induced chronic heart failure (CHF), which is supported by the traditional Chinese medicine (TCM) factor, and to verify the model. Methods. Inpatients from January 1, 2012, to December 31, 2017, in seven hospitals in Shandong Province were studied. The random number table was used to randomly divide the seven hospitals into two groups (training set and verification set). In the training set, the least absolute shrinkage selection operator regression was first used to screen the independent variables. Logistic regression was then applied to construct a survival prediction model. The following nomogram visualizes the prediction model results. Finally, C-indices, calibration curves, and decision curves were used to discriminate and calibrate the established model and evaluate its practicability in the clinic. Bootstrap resampling and the verification set were used for internal and external verification, respectively. Results. A total of 424 eligible patients were included in the model construction and verification. In this 5-year survival prediction model of patients with CHF induced by CHD, eight independent predictors were included. The series of C-indices for the training set, bootstrap resamples, and verification set was 0.885, 0.867, and 0.835, respectively, demonstrating the credibility of our model. Additionally, the receiver operating characteristic curve, calibration curve, and clinical decision curve analysis of the training and verification sets showed that this 5-year survival prediction model was good in discrimination, calibration, and clinical practicability. Conclusion. This work highlights eight independent factors affecting 5-year mortality in patients with CHF induced by CHD after discharge and further helps reallocate medical resources rationally by precisely identifying high-risk groups. The constructed prediction model not only plays a credible role in prediction but also demonstrates TCM intervention as a protective factor for the 5-year death of patients with CHF induced by CHD, thereby advancing the use of TCM in CHF.

scholarly journals Clinical Therapeutic Effects of Aspirin in Combination with Fufang Danshen Diwan, a Traditional Chinese Medicine Formula, on Coronary Heart Disease: A Systematic Review and Meta-Analysis

2016 ◽  
Vol 39 (5) ◽  
pp. 1955-1963 ◽  
Author(s):  
Jianchun Huang ◽  
Xiaojun Tang ◽  
Fangxing Ye ◽  
Junhui He ◽  
Xiaolong Kong
Keyword(s):  
Systematic Review ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Randomized Clinical Trials ◽  
Meta Analysis ◽  
Aspirin Therapy ◽  
Therapeutic Effects ◽  
Chinese Medicine Formula

Background/Aims: Coronary heart disease is characterized by vascular stenosis or occlusion resulting in myocardial ischemia, hypoxia and necrosis. In China, the combination of aspirin and Fufang Danshen Diwan (FDD), a traditional Chinese medicine formula, has been suggested in the treatment of coronary heart disease. There have been several studies comparing the effectiveness of aspirin alone and in combination with FDD to treat coronary artery disease; however, it remains unclear whether combined aspirin therapy is superior. This study was thus designed to clarify this issue through a systematic review and meta-analysis. Methods: Databases including PubMed, EMBASE, China National Knowledge Infrastructure (CNKI) database, Wanfang Data and VIP Information were searched. Papers were reviewed systematically by two researchers and analyzed using Cochrane software Revman 5.1. Results: Fourteen randomized controlled trials enrolling 1367 subjects were included. Meta-analyses revealed that aspirin in combination with FDD was significantly more effective at alleviating angina pectoris and improving electrocardiogram (ECG) results relative to aspirin therapy alone, reflected by the summary effects for the clinical markedly effective (OR = 2.45; 95% CI 1.95-3.08) and the total effective (OR = 3.92; 95% CI 2.87-5.36) rates. In addition, combined aspirin and FDD was significantly more efficacious than aspirin monotherapy at improving blood lipid levels, as indicated by the following outcomes: 1) reduction of TC level (SMD −1.12; 95% CI −1.49 to −0.76); 2) reduction of TG level (SMD −0.94; 95% CI −1.15 to -0.74); 3) reduction of LDL level (SMD -0.68; 95% CI -0.88 to -0.48); and 4) improvement of HDL level (SMD 0.52; 95% CI 0.04 to 0.99 ). No serious adverse events were reported in any of the included trials. Conclusion: The present meta-analysis demonstrated that aspirin in combination with FDD was more effective than aspirin alone for treating coronary heart disease. More full-scale randomized clinical trials with reliable designs are recommended to further evaluate the clinical benefits and long-term effectiveness of FDD for the treatment of coronary heart disease.

scholarly journals Gut microbiota: a potential target for traditional Chinese medicine intervention in coronary heart disease

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Tian-Yi Cheng ◽  
Jia-Xin Li ◽  
Jing-Yi Chen ◽  
Pei-Ying Chen ◽  
Lin-Rui Ma ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Gut Microbiota ◽  
Short Chain Fatty Acids ◽  
Lipid Lowering ◽  
China National Knowledge Infrastructure ◽  
Antiplatelet Aggregation ◽  
Single Target

AbstractCoronary heart disease (CHD) is a common ischaemic heart disease whose pathological mechanism has not been fully elucidated. Single target drugs, such as antiplatelet aggregation, coronary artery dilation and lipid-lowering medicines, can relieve some symptoms clinically but cannot effectively prevent and treat CHD. Accumulating evidence has revealed that alterations in GM composition, diversity, and richness are associated with the risk of CHD. The metabolites of the gut microbiota (GM), including trimethylamine N-oxide (TMAO), short-chain fatty acids (SCFAs) and bile acids (BAs), affect human physiology by activating numerous signalling pathways. Due to the advantage of multiple components and multiple targets, traditional Chinese medicine (TCM) can intervene in CHD by regulating the composition of the GM, reducing TMAO, increasing SCFAs and other CHD interventions. We have searched PubMed, Web of science, Google Scholar Science Direct, and China National Knowledge Infrastructure (CNKI), with the use of the keywords “gut microbiota, gut flora, traditional Chinese medicine, herbal medicine, coronary heart disease”. This review investigated the relationship between GM and CHD, as well as the intervention of TCM in CHD and GM, and aims to provide valuable insights for the treatments of CHD by TCM.

Mechanism of Sini Decoction on Coronary Heart Disease in Molecular Level

2013 ◽  
Vol 756-759 ◽  
pp. 2868-2872
Author(s):  
Wei Ye Tao ◽  
Lai You Wang ◽  
Guo Hua Cheng ◽  
Jun Liu ◽  
Lang Ping Tang
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Molecular Docking ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Small Molecules ◽  
Molecular Level ◽  
New Drugs ◽  
Curative Effect ◽  
Material Basis

Sini Decoction is a traditional Chinese medicine which has a curative effect. The mode of action between small molecules and the targets were presented visually, which provided an in-depth interpretation about the pharmacodynamic material basis. It is valuable for the research and development of new drugs. Experimental results show that we can reveal the treatment mechanism of Sini Decoction in molecular level by molecular docking.

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