Heart Disease
What's New
Last Posted: May 16, 2024
- 2024 AHA/ACC/AMSSM/HRS/PACES/SCMR Guideline for the Management of Hypertrophic Cardiomyopathy: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines.
Steve R Ommen et al. Circulation 2024 - Clinical Genetic and Genomic Testing in Congenital Heart Disease and Cardiomyopathy.
Mahati Pidaparti et al. J Clin Med 2024 13(9) - Healthcare utilization and behavior changes following workplace genetic testing at a large U.S. healthcare system.
Elizabeth Charnysh et al. Genet Med 2024 101160 - Clinical Decision Analysis of Genetic Evaluation and Testing in 1013 Intensive Care Unit Infants with Congenital Heart Defects Supports Universal Genetic Testing.
Benjamin M Helm et al. Genes (Basel) 2024 15(4) - Prevalence of elevated lipoprotein(a) in cardiac rehabilitation patients - results from a large-scale multicentre registry in Germany.
Christoph Altmann et al. Clin Res Cardiol 2024 - Comprehensive evaluation and performance analysis of machine learning in heart disease prediction.
Halah A Al-Alshaikh et al. Sci Rep 2024 14(1) 7819 - Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease.
Alessandro Pingitore et al. Int J Cardiol 2024 131981 - Diagnostic yield from cardiac gene testing for inherited cardiac conditions and re-evaluation of pre-ACMG variants of uncertain significance.
Jane Murphy et al. Ir J Med Sci 2024 - Automated valvular heart disease detection using heart sound with a deep learning algorithm.
Zihan Jiang et al. Int J Cardiol Heart Vasc 2024 51101368 - A machine learning-based risk score for prediction of infective endocarditis among patients with Staphylococcus aureus bacteraemia - The SABIER score.
Christopher Koon-Chi Lai et al. J Infect Dis 2024 - Machine learning based predictive model of Type 2 diabetes complications using Malaysian National Diabetes Registry: A study protocol.
Mohamad Zulfikrie Abas et al. J Public Health Res 2024 13(1) 22799036241231786 - A call for increased inclusivity and global representation in pharmacogenetic testing.
April Kennedy et al. NPJ Genom Med 2024 2 (1) 13 - Cost-Effectiveness of Population-Based Multigene Testing for Breast and Ovarian Cancer Prevention.
Fangjian Guo et al. JAMA Netw Open 2024 7(2) e2356078 - Coronary heart disease classification using deep learning approach with feature selection for improved accuracy.
Anandhavalli Muniasamy et al. Technol Health Care 2024 - Familial Hypercholesterolemia Variant and Cardiovascular Risk in Individuals With Elevated Cholesterol.
Yiyi Zhang et al. JAMA Cardiol 2024 - Heart Disease Risk Higher with Genetic Variant Plus Even Slightly Elevated Cholesterol
Inside Precision Medicine, February 2, 2023 - The Impact of Integration of a Genetic Clinic Into a Pediatric Cardiac Unit.
Ayman Elfky et al. Cureus 2024 15(12) e50941 - Machine learning-based prediction of composite risk of cardiovascular events in patients with stable angina pectoris combined with coronary heart disease: development and validation of a clinical prediction model for Chinese patients.
Zihan Wang et al. Front Pharmacol 2024 141334439 - Role of artificial intelligence in early detection of congenital heart diseases in neonates.
Haris Ejaz et al. Front Digit Health 2024 51345814 - Combined population genomic screening for three high-risk conditions in Australia: a modelling study.
Paul Lacaze et al. EClinicalMedicine 2024 66102297
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About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 18, 2024
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