scholarly journals Discussion of a new classification for coronary artery disease

2020 ◽  
Vol 25 (2) ◽  
pp. 111-112
Author(s):  
A. S. Galyavich
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
New Classification ◽  
The Creation ◽  
Artery Disease

The article discusses the creation of a new classification for coronary artery disease. The classification of acute and chronic forms of coronary artery disease is proposed as one of the variants.

scholarly journals CHRONIC POSTINFARCTION ANEURYSMS OF THE LEFT VENTRICLE: HISTORY, CLINICAL FEATURES, DIAGNOSTIC METHODS. NEW CLASSIFICATION OF CHRONIC POSTINFARCTION ANEURYSMS OF THE LEFT VENTRICLE IN PATIENTS WITH CORONARY ARTERY DISEASE.

2021 ◽  
Author(s):  
Aleksandr V. Bocharov ◽  
Leonid V. Popov ◽  
Astan K Mittsiev ◽  
Magomet D Lagkuev
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Left Ventricle ◽  
Left Ventricular ◽  
Diagnostic Methods ◽  
New Classification ◽  
Historical Aspects ◽  
Artery Disease ◽  
Optimal Treatment Strategy

the article highlights the historical aspects of the development of the concept of diagnosis and treatment of post-infarct left ventricular aneurysms, the possibilities of the main diagnostic methods, and also offers a new classification of post-infarct left ventricular aneurysms, taking into account the type of blood supply and the nature of the coronary lesion, which allows determining the optimal treatment strategy

scholarly journals Discordance between Body-Mass Index and Body Adiposity Index in the Classification of Weight Status of Elderly Patients with Stable Coronary Artery Disease

2021 ◽  
Vol 10 (5) ◽  
pp. 943
Author(s):  
Bartosz Hudzik ◽  
Justyna Nowak ◽  
Janusz Szkodzinski ◽  
Aleksander Danikiewicz ◽  
Ilona Korzonek-Szlacheta ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Body Mass Index ◽  
Coronary Artery ◽  
Weight Status ◽  
Stable Coronary Artery Disease ◽  
Reference Method ◽  
Normal Weight ◽  
Body Adiposity ◽  
Artery Disease

Background and Aims: Body-mass index (BMI) is a popular method implemented to define weight status. However, describing obesity by BMI may result in inaccurate assessment of adiposity. The Body Adiposity Index (BAI) is intended to be a directly validated method of estimating body fat percentage. We set out to compare body weight status assessment by BMI and BAI in a cohort of elderly patients with stable coronary artery disease (CAD). Methods: A total of 169 patients with stable CAD were enrolled in an out-patient cardiology clinic. The National Research Council (US) Committee on Diet and Health classification was used for individuals older than 65 years as underweight BMI < 24 kg/m2, normal weight BMI 24–29 kg/m2, overweight BMI 29–35 kg/m2, and obesity BMI > 35 kg/m2. In case of BAI, we used sex- and age-specific classification of weight status. In addition, body fat was estimated by bioelectrical impedance analysis (BImpA). Results: Only 72 out of 169 patients (42.6%) had concordant classification of weight status by both BMI and BAI. The majority of the patients had their weight status either underestimated or overestimated. There were strong positive correlations between BMI and BImpA (FAT%) (R = 0.78 p < 0.001); BAI and BImpA (FAT%) (R = 0.79 p < 0.001); and BMI and BAI (R = 0.67 p < 0.001). BMI tended to overestimate the rate of underweight, normal weight or overweight, meanwhile underestimating the rate of obesity. Third, BMI exhibited an average positive bias of 14.4% compared to the reference method (BImpA), whereas BAI exhibited an average negative bias of −8.3% compared to the reference method (BImpA). Multivariate logistic regression identified independent predictors of discordance in assessing weight status by BMI and BAI: BImpA (FAT%) odds ratio (OR) 1.29, total body water (%) OR 1.61, fat mass index OR 2.62, and Controlling Nutritional Status (CONUT) score OR 1.25. Conclusions: There is substantial rate of misclassification of weight status between BMI and BAI. These findings have significant implications for clinical practice as the boundary between health and disease in malnutrition is crucial to accurately define criteria for intervention. Perhaps BMI cut-offs for classifying weight status in the elderly should be revisited.

Classification of Coronary Artery Disease Using Multilayer Perceptron Neural Network

2021 ◽  
Vol 12 (3) ◽  
pp. 35-43
Author(s):  
Pratibha Verma ◽  
Vineet Kumar Awasthi ◽  
Sanat Kumar Sahu
Keyword(s):  
Neural Network ◽  
Coronary Artery Disease ◽  
Artificial Neural Network ◽  
Coronary Artery ◽  
Multilayer Perceptron ◽  
Artificial Neural ◽  
Artery Disease ◽  
Artificial Neural Network Ann ◽  
Hidden Layer

Coronary artery disease (CAD) has been the leading cause of death worldwide over the past 10 years. Researchers have been using several data mining techniques to help healthcare professionals diagnose heart disease. The neural network (NN) can provide an excellent solution to identify and classify different diseases. The artificial neural network (ANN) methods play an essential role in recognizes diseases in the CAD. The authors proposed multilayer perceptron neural network (MLPNN) among one hidden layer neuron (MLP) and four hidden layers neurons (P-MLP)-based highly accurate artificial neural network (ANN) method for the classification of the CAD dataset. Therefore, the ten-fold cross-validation (T-FCV) method, P-MLP algorithms, and base classifiers of MLP were employed. The P-MLP algorithm yielded very high accuracy (86.47% in CAD-56 and 98.35% in CAD-59 datasets) and F1-Score (90.36% in CAD-56 and 98.83% in CAD-59 datasets) rates, which have not been reported simultaneously in the MLP.

Ischaemic heart disease in women

ESC CardioMed ◽  
2018 ◽  
pp. 2836-2840
Author(s):  
Martha Gulati
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Heart Disease ◽  
Coronary Artery ◽  
Ischaemic Heart Disease ◽  
Obstructive Coronary Artery Disease ◽  
Diagnostic Testing ◽  
Atypical Presentation ◽  
Artery Disease

The more atypical presentation of women makes the diagnostic evaluation of symptomatic women challenging and results in more frequent referral for diagnostic testing to improve the precision of the ischaemic heart disease likelihood estimate. The classification of ischaemic heart disease and myocardial infarction has moved beyond the diagnosis of obstructive coronary artery disease and encompasses ischaemia that can occur in the presence and absence of obstructive coronary artery disease. Consideration of the different pathophysiology of ischaemia that may occur in women needs to be considered in the evaluation and treatment of ischaemic heart disease in women.

scholarly journals A New Dimension To The Classification of Ayurvedokta Hridya Dravyas And Their Possible Mode Of Action

2019 ◽  
Vol 7 (01) ◽  
Author(s):  
Subhash Waghe ◽  
Sanjay P. Deshmukh ◽  
Kavita Agrawal ◽  
Pradnya P. Thakre
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Beneficial Effect ◽  
Mode Of Action ◽  
Indian Population ◽  
Vagal Stimulation ◽  
The Body ◽  
Dietary Habit ◽  
Artery Disease

The death due to ischemic heart disease is increasing in Indian population at an alarming rate and accounts for around 15-20% of all deaths in India. Similarly obesity, atherosclerosis and hypertension is also on the alarming rise. The faulty dietary habit with high intake of oily, fatty, carbohydrate rich food is one of the major reason for hyperlipidemia, atherosclerosis, hypertension and coronary artery disease. Ayurveda have well established doctrine of dietary ethics and regimen. Ayurveda had described the various heart pleasant and heart beneficial (Hridya) food items such as vegetables, fruits, flowers and drugs. But, Ayurvedokta “Hridya” dravyas are not classified into specific categories in classical texts depending upon their mode of action. Hence, needs to be classified and their mode of action with respect to their beneficial effect on heart also needs to be established. As per Ayurveda, heart is also a seat of mind and acts as independent brain to carry out certain immediate responses. In the result it is found that Ayurvedokta “Hridya” dravyas can be broadly classified into Kapha-har Hridya dravyas  and Kapha-kar Hridya dravyas. These Hridya dravyas exert their heart pleasing action by various ways. For e.g. Hridya flower exert action by its pleasing fragrance and mood elevation. Hridya fruits exert their action by taste and vagal stimulation.  It is concluded that Kapha-har Hridya dravyas are having beneficial effect on heart and are useful in controlling obesity, atherosclerosis and hypertension and thereby preventing coronary artery disease. The Kapha-kar Hridya dravyas are rich in carbohydrates and beneficial in improving the nutritional status of the body.

scholarly journals Classification of coronary artery disease data sets by using a deep neural network

2017 ◽  
Vol 1 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Abdullah Caliskan ◽  
Mehmet Emin Yuksel
Keyword(s):  
Neural Network ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Deep Neural Network ◽  
Cost Effective ◽  
Classification Performance ◽  
Data Sets ◽  
Neural Network Classifier ◽  
Artery Disease

Abstract In this study, a deep neural network classifier is proposed for the classification of coronary artery disease medical data sets. The proposed classifier is tested on reference CAD data sets from the literature and also compared with popular representative classification methods regarding its classification performance. Experimental results show that the deep neural network classifier offers much better accuracy, sensitivity and specificity rates when compared with other methods. The proposed method presents itself as an easily accessible and cost-effective alternative to currently existing methods used for the diagnosis of CAD and it can be applied for easily checking whether a given subject under examination has at least one occluded coronary artery or not.

Clinical Classification of Coronary Artery Disease: Who Should Be Treated?

2013 ◽  
pp. 47-52
Author(s):  
Damien Casagrande ◽  
Jean-Jacques Goy ◽  
Mario Togni ◽  
Jean Christophe Stauffer ◽  
Stéphane Cook
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Clinical Classification ◽  
Artery Disease
Sign in / Sign up

Export Citation Format

Share Document