scholarly journals Exploring potential biomarkers of coronary heart disease treated by Jing Zhi Guan Xin Pian using high-throughput metabolomics

RSC Advances ◽  
2019 ◽  
Vol 9 (20) ◽  
pp. 11420-11432 ◽  
Author(s):  
Hui Sun ◽  
Xue-na Li ◽  
Ai-hua Zhang ◽  
Kun-ming Zhang ◽  
Guang-li Yan ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Blood Flow ◽  
Heart Disease ◽  
High Throughput ◽  
Complex Disease ◽  
Arterial Lumen ◽  
Potential Biomarkers

Coronary heart disease (CHD) is a relatively complex disease characterized by narrowing of the arterial lumen and reduction of blood flow to the heart.

Integration Between Computed Tomography and Nuclear Medicine for Non-invasive Assessment of Coronary Anatomy and Myocardial Perfusion

2009 ◽  
Vol 5 (2) ◽  
pp. 15
Author(s):  
Wanda Acampa ◽  
Mario Petretta ◽  
Carmela Nappi ◽  
Alberto Cuocolo ◽  
◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Heart Disease ◽  
Blood Flow ◽  
Heart Disease ◽  
Myocardial Perfusion ◽  
Myocardial Blood Flow ◽  
Imaging Techniques ◽  
Emission Computed Tomography ◽  
Coronary Anatomy ◽  
Non Invasive

Many non-invasive imaging techniques are available for the evaluation of patients with known or suspected coronary heart disease. Among these, computed-tomography-based techniques allow the quantification of coronary atherosclerotic calcium and non-invasive imaging of coronary arteries, whereas nuclear cardiology is the most widely used non-invasive approach for the assessment of myocardial perfusion. The available single-photon-emission computed tomography flow agents are characterised by a cardiac uptake proportional to myocardial blood flow. In addition, different positron emission tomography tracers may be used for the quantitative measurement of myocardial blood flow and coronary flow reserve. Extensive research is being performed in the development of non-invasive coronary angiography and myocardial perfusion imaging using cardiac magnetic resonance. Finally, new multimodality imaging systems have recently been developed bringing together anatomical and functional information. This article provides a description of the available non-invasive imaging techniques in the assessment of coronary anatomy and myocardial perfusion in patients with known or suspected coronary heart disease.

scholarly journals Safety and Efficacy of Ranolazine for the Treatment of Chronic Angina Pectoris

2013 ◽  
Vol 5 ◽  
pp. CMT.S7824 ◽  
Author(s):  
Mohammed Aldakkak ◽  
David F. Stowe ◽  
Amadou K.S. Camara
Keyword(s):  
Coronary Heart Disease ◽  
Blood Flow ◽  
Heart Disease ◽  
Supply And Demand ◽  
Chronic Stable Angina ◽  
The United States ◽  
Lifestyle Changes ◽  
Channel Blockers ◽  
Coronary Syndrome ◽  
Chronic Angina

Coronary heart disease is a global malady and it is the leading cause of death in the United States. Chronic stable angina is the most common manifestation of coronary heart disease and it results from the imbalance between myocardial oxygen supply and demand due to reduction in coronary blood flow. Therefore, in addition to lifestyle changes, commonly used pharmaceutical treatments for angina (nitrates, β-blockers, Ca2+ channel blockers) are aimed at increasing blood flow or decreasing O2 demand. However, patients may continue to experience symptoms of angina. Ranolazine is a relatively new drug with anti-anginal and anti-arrhythmic effects. Its anti-anginal mechanism is not clearly understood but the general consensus is that ranolazine brings about its anti-anginal effects by inhibiting the late Na+ current and the subsequent intracellular Ca2+ accumulation. Recent studies suggest other effects of ranolazine that may explain its anti-anginal and anti-arrhythmic effects. Nonetheless, clinical trials have proven the efficacy of ranolazine in treating chronic angina. It has been shown to be ineffective, however, in treating acute coronary syndrome patients. Ranolazine is a safe drug with minimal side effects. It is metabolized mainly in the liver and cleared by the kidney. Therefore, caution must be taken in patients with impaired hepatic or renal function. Due to its efficacy and safety, ranolazine was approved for the treatment of chronic angina by the Food and Drug Administration (FDA) in 2006.

scholarly journals Building prediction models for coronary heart disease by synthesizing multiple longitudinal research findings

2005 ◽  
Vol 12 (5) ◽  
pp. 459-464 ◽  
Author(s):  
Guizhou Hu ◽  
Martin M. Root
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Prediction Model ◽  
Empirical Model ◽  
Complex Disease ◽  
Prediction Models ◽  
Longitudinal Research ◽  
Study Data ◽  
Individual Risk ◽  
Data Set

Background No methodology is currently available to allow the combining of individual risk factor information derived from different longitudinal studies for a chronic disease in a multivariate fashion. This paper introduces such a methodology, named Synthesis Analysis, which is essentially a multivariate meta-analytic technique. Design The construction and validation of statistical models using available data sets. Methods and results Two analyses are presented. (1) With the same data, Synthesis Analysis produced a similar prediction model to the conventional regression approach when using the same risk variables. Synthesis Analysis produced better prediction models when additional risk variables were added. (2) A four-variable empirical logistic model for death from coronary heart disease was developed with data from the Framingham Heart Study. A synthesized prediction model with five new variables added to this empirical model was developed using Synthesis Analysis and literature information. This model was then compared with the four-variable empirical model using the first National Health and Nutrition Examination Survey (NHANES I) Epidemiologic Follow-up Study data set. The synthesized model had significantly improved predictive power ( x2 = 43.8, P < 0.00001). Conclusions Synthesis Analysis provides a new means of developing complex disease predictive models from the medical literature.

scholarly journals Study on the Correlation between Continuity of Care and Quality of Life for Patients with Coronary Heart Disease

2020 ◽  
Vol 17 (23) ◽  
pp. 9125
Author(s):  
Hsiang-Chu Pai ◽  
Yi-Fang Hu ◽  
Shu-Yuan Chao ◽  
Hsiao-Mei Chen
Keyword(s):  
Quality Of Life ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Continuity Of Care ◽  
Information Transfer ◽  
Complex Disease ◽  
General Situation ◽  
Average Score ◽  
Living Situation

Background: As coronary heart disease (CHD) is a highly complex disease, complex continuity of care (CoC) service should be provided for the patients, and the quality of life (QoL) needs to be regarded as an important measuring indicator for the health-care outcome. Purpose: To understand the general situation of CHD QoL and important predictors. Method: A cross-sectional study design was adopted from August 2019 to July 2020 by structured questionnaires. A total of 163 patients were enrolled, and data were statistically analyzed using SPSS 25.0. Result: The average score of the QoL questionnaire is 56.56/80, and the CoC is 4.32. The overall regression model can explain 58.7% of the variance regarding QoL. Patients’ instrumental activities of daily living (IADLs) (26.1%), age (18.1%), living situation (7%), information transfer (4.8%), main source of income (1.8%), and risk of disability are significantly different from their overall QoL in depression (0.9%). Conclusions: In order to improve the QoL of patients, it is suggested that medical teams should assess the needs of patients immediately upon hospitalization, provide patients with individual CoC, encourage them to participate in community health promotion activities, and strengthen the function of IADL to improve the QoL of patients.

scholarly journals A Metabonomics Profiling Study on Phlegm Syndrome and Blood-Stasis Syndrome in Coronary Heart Disease Patients Using Liquid Chromatography/Quadrupole Time-of-Flight Mass Spectrometry

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Linlin Zhao ◽  
Ling Wan ◽  
Xinjian Qiu ◽  
Ruomeng Li ◽  
Shimi Liu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Liquid Chromatography ◽  
Acid Metabolism ◽  
Blood Stasis ◽  
Blood Stasis Syndrome ◽  
Flight Mass Spectrometry ◽  
Potential Biomarkers ◽  
Phlegm Syndrome

A metabonomics approach based on liquid chromatography/quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS) was utilized to obtain potential biomarkers of coronary heart disease (CHD) patients and investigate the ZHENG types differentiation in CHD patients. The plasma samples of 20 CHD patients with phlegm syndrome, 20 CHD patients with blood-stasis syndrome, and 16 healthy volunteers were collected in the study. 26 potential biomarkers were identified in the plasma of CHD patients and 19 differential metabolites contributed to the discrimination of phlegm syndrome and blood-stasis syndrome in CHD patients(VIP>1.5; P<0.05)which mainly involved purine metabolism, pyrimidine metabolism, amino acid metabolism, steroid biosynthesis, and arachidonic acid metabolism. This study demonstrated that metabonomics approach based on LC-MS was useful for studying pathologic changes of CHD patients and interpreting the differentiation of ZHENG types (phlegm and blood-stasis syndrome) in traditional Chinese medicine (TCM).

Metabolic and hormonal blood flow modeling in patients with coronary heart disease: In vitro and clinical study

2007 ◽  
Vol 22 (3) ◽  
pp. 173-184 ◽  
Author(s):  
Lidia I. Malinova ◽  
Georgy V. Simonenko ◽  
Tatyana P. Denisova ◽  
Valery V. Tuchin
Keyword(s):  
Coronary Heart Disease ◽  
Blood Flow ◽  
Heart Disease ◽  
Clinical Study ◽  
Flow Modeling ◽  
Blood Flow Modeling
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