The use of a network medicine approach might result in innovative strategies for lowering coronary heart disease and CV risks

2021 ◽  
Author(s):  
Moataz Dowaidar
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Single Cell Analysis ◽  
Clinical Decision ◽  
Clinical Situation ◽  
Molecular Networks ◽  
Network Medicine ◽  
Innovative Strategies ◽  
Comprehensive Picture ◽  
Correct Estimation

The reductionist approach of stringent guidelines for treating dyslipidemia led to significant lipoprotein transported cholesterol (LDLC) reduction with statin-based treatment to prevent or postpone development of atherosclerosis. Correct estimation of residual CV risk, however, remains a critical problem requiring the development of new integrated approaches Using a network-medicine approach might lead to creative methods. This is clearly a multidisciplinary technique that will be difficult in a clinical situation. To get a comprehensive picture of nodes and disease modules, we need to dissect a dyslipidemic patient to the level of single-cell analysis and then reconstruct the picture. These efforts are crucial to understanding the molecular networks that drive dyslipidemia and atherosclerosis. Moreover, in clinical assessment of persons with suspected coronary heart disease (CHD), computer-aided decision-making is more widespread. On the other hand, doctors should remember that robots lack a "sense of thinking" and should thus distrust the reliability of a purely robotic clinical decision. As a consequence, AI should be called "increased intelligence," which can help physicians make judgments but should keep the ultimate strategy in the physician's hands.

Network medicine might lead to new treatments for dyslipidemia. It will be a challenging method to implement in a clinical context

2021 ◽  
Author(s):  
Moataz Dowaidar
Keyword(s):  
Decision Making ◽  
Single Cell Analysis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Clinical Decision ◽  
The Other ◽  
Molecular Networks ◽  
Network Medicine ◽  
Other Hand ◽  
New Treatments

With statin-based therapies to prevent or delay atherosclerotic progression, the reductionist approach of strict guidelines for treating dyslipidemias resulted in remarkable low-density lipoprotein transported cholesterol reduction. The precise estimation of residual cardiovascular diseases risk, on the other hand, remains a significant challenge that necessitates the development of new integrated approaches. The application of a network medicine approach could lead to the development of novel strategies. This is unquestionably a multidisciplinary strategy that will be difficult to put into practice in a clinical setting. We must dissect a patient with dyslipidemia to the level of single cell analysis and then reconstruct the puzzle to get a complete picture of nodes and disease modules. These efforts are critical for fully comprehending the molecular networks that underpin dyslipidemia and atherosclerosis. Furthermore, computer-aided decision-making is becoming more common in the clinical evaluation of subjects with suspected coronary heart disease. Physicians, on the other hand, should keep in mind that machines lack a "sense of reasoning" and should therefore question the reliability of a clinical decision made solely by robots. As a result, AI should be referred to as "augmented intelligence," which can aid physicians in decision-making but should leave the final strategy in their hands.

scholarly journals Understanding of emotions and cardiovascular related diseases

2014 ◽  
Author(s):  
Dimitrios Vlachakis ◽  
Chrisanthy Vlachakis
Keyword(s):  
Diabetes Mellitus ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Self Report ◽  
Greek Literature ◽  
Wide Range ◽  
Comprehensive Picture ◽  
And Behavior ◽  
Relationship Of ◽  
The Relationship

The aim of the present study is to examine the relation between understanding of emotions and cardiovascular related diseases, namely coronary heart disease, diabetes mellitus and obesity. Coronary heart disease is a type of cardiovascular disease that usually coexists with other diseases, such as diabetes mellitus and obesity. The uniqueness of this study lies in the fact that examined the relationship between the cardiovascular related diseases named above and the understanding of emotions in the context of Emotional Intelligence (EI). The latter consists of a wide range of psychological factors that reflect many aspects of human thought and behavior, providing a very comprehensive picture of each person. The experimental design through the observed variables were approached, has not been applied in previous studies internationally. The study was conducted in 300 participants during a 3 year period. All participants completed a self-report questionnaire, assessing various aspects of EI, such as self-emotion appraisal, other emotion appraisal, emotion regulation and use of emotions. As hypothesized, coronary heart disease is a prognostic factor of regulation of emotions. The results of this study extend and reinforce the findings of previous studies, which emphasize on the relationship of cardiovascular related diseases and psychological characteristics, such as anxiety and anger, being aspects of EI. Additionally, this work fills a gap in the relevant Greek literature, as a first attempt to examine the correlation of EI with cardiovascular related diseases. New approaches are needed to improve primary prevention, early detection and clinical management of those diseases. Furthermore, this study focused on the need to cultivate and improve EI of patients, in order to eliminate the effects of the diseases.

scholarly journals Understanding of emotions and cardiovascular related diseases

2014 ◽  
Author(s):  
Dimitrios Vlachakis ◽  
Chrisanthy Vlachakis
Keyword(s):  
Diabetes Mellitus ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Self Report ◽  
Greek Literature ◽  
Wide Range ◽  
Comprehensive Picture ◽  
And Behavior ◽  
Relationship Of ◽  
The Relationship

The aim of the present study is to examine the relation between understanding of emotions and cardiovascular related diseases, namely coronary heart disease, diabetes mellitus and obesity. Coronary heart disease is a type of cardiovascular disease that usually coexists with other diseases, such as diabetes mellitus and obesity. The uniqueness of this study lies in the fact that examined the relationship between the cardiovascular related diseases named above and the understanding of emotions in the context of Emotional Intelligence (EI). The latter consists of a wide range of psychological factors that reflect many aspects of human thought and behavior, providing a very comprehensive picture of each person. The experimental design through the observed variables were approached, has not been applied in previous studies internationally. The study was conducted in 300 participants during a 3 year period. All participants completed a self-report questionnaire, assessing various aspects of EI, such as self-emotion appraisal, other emotion appraisal, emotion regulation and use of emotions. As hypothesized, coronary heart disease is a prognostic factor of regulation of emotions. The results of this study extend and reinforce the findings of previous studies, which emphasize on the relationship of cardiovascular related diseases and psychological characteristics, such as anxiety and anger, being aspects of EI. Additionally, this work fills a gap in the relevant Greek literature, as a first attempt to examine the correlation of EI with cardiovascular related diseases. New approaches are needed to improve primary prevention, early detection and clinical management of those diseases. Furthermore, this study focused on the need to cultivate and improve EI of patients, in order to eliminate the effects of the diseases.

scholarly journals Network Medicine: A Clinical Approach for Precision Medicine and Personalized Therapy in Coronary Heart Disease

2020 ◽  
Vol 27 (4) ◽  
pp. 279-302 ◽  
Author(s):  
Teresa Infante ◽  
Luca Del Viscovo ◽  
Maria Luisa De Rimini ◽  
Sergio Padula ◽  
Pio Caso ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Precision Medicine ◽  
Personalized Therapy ◽  
Clinical Approach ◽  
Network Medicine

scholarly journals The Classificatied Prediction of Coronary Heart Disease Based on Patient Similarity Analysis

2021 ◽  
Author(s):  
Xinyao LI ◽  
Linlin ZHANG ◽  
Xuehua BI ◽  
Ying ZHANG ◽  
Guanglei YU ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Predictive Models ◽  
Distance Matrix ◽  
Clinical Decision ◽  
Medical Database ◽  
Traditional Classification ◽  
Promising Solution ◽  
Structured Representation

Abstract Objective:It is important for physicians' clinical decision support to classify the coronary heart disease (CHD).Customizing personalized predictive models for patients requires selecting a patient group from an existing medical database that most closely resembles the indexed patients. In this study,we introduce a new concept that using the patient similarity for the classification of patient with CHD.Materials and methods: We performed a structured representation of CHD patients. Obtain the multidimensional attribute distance matrix between patient pairs by calculating the multidimensional attribute distance of the patients. Predict similarity between patient pairs using machine learning (ML) models to predict clinical outcomes for indexed patients based on matched similar patients.Results:The new measure shows marked improvements over the traditional classification measures. LightGBM is the top-performing ML model. The best model achieved 88.52% accuracy.Conclusion:The medical applications of ML supported by similarity analytics represent a promising solution through which to reduce the physican workload to achieve the goal of “precision medicine”.

scholarly journals Diagnostic Certainty as a Source of Medical Practice Variation in Coronary Heart Disease: Results from a Cross-National Experiment of Clinical Decision Making

2009 ◽  
Vol 29 (5) ◽  
pp. 606-618 ◽  
Author(s):  
Karen E. Lutfey ◽  
Carol L. Link ◽  
Lisa D. Marceau ◽  
Richard W. Grant ◽  
Ann Adams ◽  
...  
Keyword(s):  
Health Care ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Medical Practice ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
The United States ◽  
Practice Variation ◽  
Diagnostic Certainty ◽  
Cross National

The authors examined physician diagnostic certainty as one reason for cross-national medical practice variation. Data are from a factorial experiment conducted in the United States, the United Kingdom, and Germany, estimating 384 generalist physicians’ diagnostic and treatment decisions for videotaped vignettes of actor patients depicting a presentation consistent with coronary heart disease (CHD). Despite identical vignette presentations, the authors observed significant differences across health care systems, with US physicians being the most certain and German physicians the least certain (P < 0.0001). Physicians were least certain of a CHD diagnoses when patients were younger and female (P < 0.0086), and there was additional variation by health care system (as represented by country) depending on patient age (P < 0.0100) and race (P < 0.0021). Certainty was positively correlated with several clinical actions, including test ordering, prescriptions, referrals to specialists, and time to follow-up.

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