Search or ask a question

What tests show heart disease?

Electrocardiography

Answers from top 8 papers

PDF

Open Access

More filters

Papers (8)	Insight
Journal Article•DOI Head-to-head comparison of the diagnostic utility of BNP and NT-proBNP in symptomatic and asymptomatic structural heart disease. Thomas Mueller, Alfons Gegenhuber, Werner Poelz, Meinhard Haltmayer - Show less +3 more 01 Mar 2004-Clinica Chimica Acta 151 Citations	Both assays facilitate diagnosis of symptomatic and asymptomatic structural heart disease.
Open access•Journal Article•DOI Information Theoretical Analysis of Aging as a Risk Factor for Heart Disease David Blokh, Ilia Stambler - Show less +1 more 01 Jun 2015-Aging and Disease 22 Citations	We show that individual parameters, including age, often show little correlation with heart disease.
Open access•Journal Article•DOI The Electrocardiogram in Heart Disease Detection A Comparison of the Multiple and Single Lead Procedures T. R. Dawber, W. B. Kannel, D. E. Love, R. B. Streeper - Show less +3 more 01 Apr 1952-Circulation 45 Citations	A possible heart disease screening method is suggested.
Open access•Journal Article•DOI Heart Attack Prediction System Using Fuzzy C Means Classifier R. Chitra 01 Jan 2013-IOSR Journal of Computer Engineering 29 Citations	This shows the importance of predicting heart disease at the early stage.
Open access•Journal Article•DOI Retrospective review: the incidence of non-ST segment elevation MI in emergency department patients presenting with decompensated heart failure. W. Frank Peacock, Charles E. Emerman, Mohamad Doleh, Kimberly Civic, Saud Butt - Show less +4 more 01 Nov 2003-Congestive heart failure 10 Citations	These pilot data suggest these tests should be routinely obtained on heart failure patients.
Open access•Journal Article•DOI Secondary R Waves in Right Precordial Leads in Normal Persons and in Patients with Cardiac Disease Fernando A. Tapia, William L. Proudfit - Show less +1 more 01 Jan 1960-Circulation 16 Citations	Other patterns may be found both in patients with heart disease and in normal subjects.
Proceedings Article•DOI Heart disease diagnosis using data mining technique Sarath Babu, E M Vivek, K P Famina, K Fida, P Aswathi, M Shanid, M Hena - Show less +6 more 20 Apr 2017 59 Citations	can predict the likelihood of patient getting heart disease.
Open access•Journal Article•DOI Nuclear proteins in the heart of the cardiomyopathic Syrian hamster. Fractionation of phenol-soluble nonhistone proteins by two-dimensional polyacrylamide gel electrophoresis. C C Liew, M J Sole - Show less +1 more 01 May 1978-Circulation Research 24 Citations	Some of these observations may represent changes secondary to heart disease.

My columns

Related Questions

What are the causes of heart disease?5 answersHeart disease is caused by various factors including age, unhealthy daily life habits (such as smoking), background diseases (such as diabetes), poor living conditions, malnutrition, infectious diseases, high blood pressure, obesity, excessive alcohol consumption, high salt and sugar intake, negative mental states (such as depression, worry, loneliness, and chronic stress), and genetic factors. These factors can lead to the development of conditions such as coronary heart disease, cardiomyopathy, arrhythmias, and valve disorders, which are the main causes of mortality in heart patients. Additionally, dyslipidemias, clotting disorders, inflammation, hypertension, and obesity can contribute to heart attacks. It is important to note that the impact of diet on heart disease is still a topic of debate, with recent studies suggesting that strict limitations on saturated fat and cholesterol intake may not be necessary for everyone.

What are the markers of cardoıvascular diseases?5 answersCardiac biomarkers are important tools for the diagnosis and prognosis of cardiovascular diseases (CVD). These biomarkers can help in the early identification and assessment of CVD risk, allowing for early intervention and potentially reversing myocardial damage. Some commonly used cardiac biomarkers include creatinine kinase-MB, cardiac troponins, lipoprotein a, osteopontin, cardiac extracellular matrix, C-reactive protein, cardiac matrix metalloproteinases, cardiac natriuretic peptides, myoglobin, renin, and dynorphin. Additionally, newer biomarkers such as soluble source of tumorigenicity 2 (sST2), galectin-3 (Gal-3), growth differentiation factor-15 (GDF-15), and various micro ribonucleic acids (miRNAs) are being explored for their potential in cardiac risk prediction and patient wellbeing. Biomarkers can also be used to assess cardiotoxicity, complications from anorexia nervosa, adverse effects of heavy metals intake, and other cardiac abnormalities. Overall, cardiac biomarkers play a crucial role in the identification, diagnosis, and prognosis of cardiovascular diseases.

What is a heart disease?5 answersHeart disease refers to various illnesses affecting the heart, including conditions such as coronary artery disease and arrhythmias. It is a leading cause of death globally, accounting for a significant number of deaths each year. Heart disease is caused by structural and functional tissue dysfunction in the heart, leading to an inability to pump sufficient blood to the body. Factors such as personal habits, genetic predisposition, and physical factors like obesity, high blood pressure, and high blood cholesterol contribute to the development of heart disease. Early and accurate diagnosis of heart-related diseases is crucial for improving patient health and reducing mortality. Machine learning techniques have been used to predict heart disease, aiding in early intervention and prevention of complications.

How are neuro fuzzy networks being used to diagnose heart disease?5 answersNeuro fuzzy networks are being used to diagnose heart disease by analyzing patient data such as blood pressure, blood sugar, heart rate, number of cigarettes per day, and age. These networks use a combination of fuzzy logic and neural networks to predict the risk of cardiovascular disease for patients over the next 10 years. Genetic algorithms are used to reduce the number of features used for diagnosis, and optimization algorithms are used to optimize the parameters of the fuzzy sets. The proposed network and algorithm have been validated using patient data from the Framingham study, showing acceptable results. Additionally, machine learning methods, such as deep neural networks, have been used to develop models for cardiac disease detection with high accuracy. Feature selection algorithms, such as genetic algorithm recursive feature elimination and correlation feature selection genetic algorithm, have been proposed to improve the performance of these models.

How is M-mode echocardiography used in the diagnosis of heart disease?5 answersM-mode echocardiography is used in the diagnosis of heart disease by providing superior temporal resolution, allowing for the appreciation of subtle changes in cardiac structure and function. It is particularly useful in evaluating specific conditions such as systolic anterior motion of the mitral valve and aortic dissection. M-mode imaging can also provide clinically relevant information for assessing left ventricular and right ventricular function, as well as volume status and responsiveness. Additionally, M-mode can be used to detect myocardial infarction by analyzing the dynamic changes in the heart using optical flow and CNN. The use of deep learning techniques, such as the MultiResUNet model, can further enhance the accuracy of M-mode echocardiography in detecting heart failure by segmenting the left ventricle on echocardiogram images.

What are the symptoms of heart disease?5 answersHeart disease is a broad term that encompasses various conditions affecting the coronary heart. Symptoms of heart disease include blood vessel diseases like coronary artery disease, heart rhythm problems (arrhythmias), and congenital heart defects. Residual symptoms of depression, such as loss of energy, loss of pleasure, loss of interest, fatigue, and difficulty concentrating, are also common in patients with coronary heart disease. Social media analytics can be used to identify trends and patterns of disease symptoms, including those related to heart diseases. Pulmonary sequestration, a rare congenital abnormality, can present with symptoms like cough, chest pain, shortness of breath, and recurrent pneumonia. Cardiovascular diseases, including angina, arrhythmia, heart attack, heart failure, atherosclerosis, and stroke, are also symptoms of heart disease.

See what other people are reading

What programs have been initiated for early detection and treatment of leprosy?

The National Leprosy Eradication Program (NLEP) in India is a significant initiative for early detection and treatment of leprosy, given India's high burden of cases. Additionally, the Leprosy Post-Exposure Prophylaxis (LPEP) program has been implemented in several countries, including Brazil, Cambodia, India, Indonesia, Myanmar, Nepal, Sri Lanka, and Tanzania, focusing on contact tracing, screening, and administering prophylactic treatment to eligible contacts, showing promising results in early case detection and prevention. Active surveillance programs, like the one conducted in Shandong Province, China, have also proven effective in identifying latent leprosy cases by tracking patients released from treatment and their contacts, significantly increasing detection rates. These programs collectively aim to enhance early case detection and treatment to reduce the burden of leprosy.How does sensory evaluation theory influence the development of new food products?

Sensory evaluation theory significantly impacts the development of new food products by providing crucial insights into consumers' sensory perceptions and responses, aiding product developers in creating appealing and marketable items. This theory encompasses various methodologies like acceptance testing, descriptive analysis, and rapid sensory techniques. These methodologies help in accurately measuring human responses to different food items, ensuring that the final products meet consumer expectations and preferences. For instance, in the context of developing a value-added food product for diabetics, organoleptic evaluation through a hedonic scale was utilized to determine consumer acceptance. Moreover, even in the pet food industry, sensory analysis plays a vital role in assessing product performance by pets, despite the challenge of pets' inability to verbally communicate their preferences.How does predictive analytics improve the accuracy of early heart disease detection in healthcare?

Predictive analytics significantly enhances the accuracy of early heart disease detection in healthcare by leveraging machine learning techniques. Studies have shown that machine learning algorithms like KNN, SVM, random forest, logistic regression, Naïve Bayes, gradient boosting, and AdaBoost classifiers can effectively predict heart disease. By utilizing preprocessing steps, hyperparameter optimization, and ensemble learning algorithms, predictive models can achieve impressive accuracies of up to 98.15%. Additionally, the incorporation of Jellyfish Search Optimization (JSO) and Deep Residual Networks (DRN) has shown improved prediction performance, with high accuracy, F1_score, Matthews’s correlation coefficient (MCC), and True Positive Rate (TPR). The use of advanced analytics in healthcare, particularly in heart disease prediction, has revolutionized early detection, leading to more effective prevention, detection, and treatment strategies, ultimately reducing mortality rates associated with heart disease.What is the prevalence of tricuspid regurgitation in patients with pacemakers?

The prevalence of tricuspid regurgitation (TR) in patients with pacemakers varies depending on the study population and the type of pacemaker. Studies have shown that TR can occur in a significant proportion of patients with permanent pacemakers, ranging from 41% to 38%. Lead-induced mechanisms such as lead adherence, impingement, entanglement, and mixed mechanisms contribute to TR development. Additionally, data suggests that leadless pacemakers may also be associated with worsening TR, with comparable levels to transvenous pacemakers. In cases of severe TR after pacemaker implantation, transcatheter tricuspid valve replacement (TTVR) guided by 3D printing has shown to be effective in reducing TR severity. Overall, these findings highlight the importance of monitoring TR in patients with pacemakers and exploring innovative treatment options for severe cases.Does doing physical activity with others reduce all cause mortality?

Engaging in physical activity with others has been linked to reduced all-cause mortality among older adults. Research suggests that social participation in groups, clubs, or organizations is associated with lower all-cause mortality in older individuals, especially when combined with physical activity. Additionally, a study focusing on cancer survivors found that leisure-time physical activity was beneficial in lowering the risk of all-cause mortality, with a clear dose-response relationship observed between the amount of physical activity performed and mortality risk reduction. These findings highlight the importance of social engagement and physical activity in reducing mortality rates across different populations, emphasizing the potential benefits of group activities and exercise in promoting overall health and well-being.What is the current global burden of cardiovascular disease in terms of mortality and morbidity?

The current global burden of cardiovascular disease (CVD) in terms of mortality and morbidity is substantial. CVD is the leading cause of morbidity and mortality worldwide, responsible for millions of deaths annually. The incidence of CVD cases has been on the rise globally, with a significant increase in both incident cases and deaths from 1990 to 2019. However, age-standardized rates of CVD mortality have been decreasing in most countries due to improved prevention and treatment efforts. Low- and middle-income countries bear a significant burden of CVD, with limited access to cardiology and cardiac surgery services. Risk factors such as tobacco use, unhealthy diet, physical inactivity, high blood pressure, and diabetes contribute significantly to the burden of CVD, emphasizing the importance of interventions targeting these factors.Which one is more ideal to understand host-pathogen interactions for TB treatment between A549 and THP-1 cell lines?

To understand host-pathogen interactions for TB treatment, employing THP-1 cell lines is more ideal compared to A549 cell lines. THP-1 cells infected with Mycobacterium tuberculosis (M.tb) strains exhibited significant transcriptomic changes associated with immune responses, inflammation, and metabolic alterations. Additionally, the study highlighted that virulent M.tb strain H37Rv triggered a severe inflammatory immune response in THP-1 macrophages, leading to increased tissue damage. Furthermore, the utilization of omics technologies has successfully unraveled host-pathogen interactions in TB, emphasizing the importance of metabolic crosstalk between the host and pathogen for developing anti-TB therapies. In contrast, A549 cells were not specifically mentioned in the provided contexts, indicating that THP-1 cells are more extensively studied and suitable for investigating TB-related host-pathogen interactions.What mileage of running increases risk of arthritis?

The relationship between running mileage and the risk of developing arthritis is nuanced, with studies showing varying outcomes based on the intensity and duration of running, as well as individual factors such as pre-existing conditions and running experience. Moderate-level running, typically characterized by recreational running at a moderate pace, does not appear to significantly increase the risk of osteoarthritis in weight-bearing joints and might even have a protective effect against joint degeneration. This is supported by findings that long-term, long-distance running at mileage levels comparable to those of recreational runners today is not associated with premature osteoarthritis in the lower extremities. However, there may be an increased risk for developing osteoarthritis for individuals who run at faster paces, particularly in men under the age of 50, possibly due to higher running-induced loading on the joints. High-volume running, which exceeds the mileage of moderate recreational running, has not been conclusively linked to an increased risk of osteoarthritis, but the literature remains inconclusive about its potential association with the development of osteoarthritis. Beginners or those new to long-distance running may demonstrate significant changes in joint health post-run, suggesting that inadequate training or sudden increases in mileage without adequate adaptation may predispose individuals to joint issues. Conversely, experienced runners with adequate training appear to tolerate high-impact forces well, indicating that adaptation mechanisms play a crucial role in mitigating the risks associated with long-distance running. In summary, while moderate-level running does not seem to increase the risk of arthritis and may even be protective, running at very high mileages or at faster paces, especially without proper conditioning, could pose a higher risk. Individual factors, including pre-existing joint conditions, running experience, and the adequacy of training, significantly influence this risk.What are dietary patterns of STEM students?

Dietary patterns of STEM students vary significantly based on various factors such as age, gender, lifestyle, and cooking ability. Research indicates that a substantial proportion of university students, including those in STEM fields, follow health-promoting diets with good nutrient profiles, while others consume poor diets with potential long-term health effects. Studies have shown that inappropriate dietary patterns can lead to negative health consequences like obesity and chronic diseases, emphasizing the importance of understanding and promoting healthy eating habits among students. Additionally, findings suggest that behaviors such as eating meals away from home and weight management intentions are associated with specific dietary patterns among university students, indicating the need for interventions to improve eating habits and promote healthier choices among STEM students.Does BFR improve strength?

Combining individualized blood flow restriction (BFR) with traditional rehabilitation has shown to improve strength in various scenarios. Research on Colles' fracture patients demonstrated that adding BFR to traditional rehabilitation resulted in greater increases in grip strength. Additionally, a study on reinforcement corrosion levels in reinforced concrete beams found that BFRP laminates effectively improved flexural resistance, especially in corroded beams, showcasing enhanced strength. Moreover, studies on older adults with heart disease and heart failure highlighted significant gains in skeletal muscle strength and functional performance with BFR exercise, indicating strength improvement in these populations as well. Therefore, the evidence suggests that BFR can indeed enhance strength across different patient groups and rehabilitation settings.What is the main primary outcome in clinical trial for alzheimer's disease?

The main primary outcome in clinical trials for Alzheimer's disease often focuses on assessing cognitive decline and disease progression. For instance, in the study evaluating the efficacy of donanemab, the primary outcome was the change in integrated Alzheimer Disease Rating Scale (iADRS) score over 76 weeks, which reflects the level of impairment with lower scores indicating greater impairment. Similarly, in the EARLY trial with atabecestat, the primary outcome was the change from baseline in the Preclinical Alzheimer Cognitive Composite score, which measures cognitive function in individuals with preclinical Alzheimer's disease. These primary outcomes are crucial in determining the effectiveness of interventions in slowing down cognitive decline and disease progression in Alzheimer's disease clinical trials.