Myocardial Infarction
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What's New
Last Posted: Dec 08, 2020
- A Linear and Non-Linear Mendelian Randomization Analysis of the Association Between Diastolic Blood Pressure and Cardiovascular Events: The J Curve Revisited.
Arvanitis Marios et al. Circulation 2020 Nov - Machine Learning-Based Risk Assessment for Cancer Therapy-Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients.
Zhou Yadi et al. Journal of the American Heart Association 2020 Nov e019628 - A machine learning-based approach for the prediction of periprocedural myocardial infarction by using routine data.
Wang Yao et al. Cardiovascular diagnosis and therapy 2020 Oct 10(5) 1313-1324 - Sex differences in cardiovascular morbidity associated with familial hypercholesterolaemia: A retrospective cohort study of the UK Simon Broome register linked to national hospital records.
Iyen Barbara et al. Atherosclerosis 2020 Oct - Familial Hypercholesterolemia in Premature Acute Coronary Syndrome. Insights from CholeSTEMI Registry.
Lorca Rebeca et al. Journal of clinical medicine 2020 Oct 9(11) - Identifying familial hypercholesterolaemia in primary care: Validation and optimisation of a clinical tool (FAMCAT).
Akyea Ralph Kwame et al. BJGP open 2020 Nov - Prevalence of Familial Hypercholesterolaemia in Acute Coronary Syndrome Patients in a Large Regional Coronary Care Unit.
Samuel Rohit et al. Heart, lung & circulation 2020 Oct - Clinical Utility of Lipoprotein(a) and LPA Genetic Risk Score in Risk Prediction of Incident Atherosclerotic Cardiovascular Disease.
Trinder Mark et al. JAMA cardiology 2020 Oct - Development and validation of coding algorithms to identify patients with incident lung cancer in United States healthcare claims data.
Beyrer Julie et al. Pharmacoepidemiology and drug safety 2020 Oct - Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain.
Zhang Pei-I et al. Scandinavian journal of trauma, resuscitation and emergency medicine 2020 Sep 28(1) 93 - Chromosome 1q21.2 and additional loci influence risk of spontaneous coronary artery dissection and myocardial infarction.
Saw Jacqueline et al. Nature communications 2020 Sep 11(1) 4432 - Understanding the stakeholders' preferences on a mobile application to reduce door to balloon time in the management of ST-elevated myocardial infarction patients - a qualitative study.
Alkamel Nour et al. BMC medical informatics and decision making 2020 Aug 20(1) 205 - Apolipoprotein A2 Isoforms in Relation to the Risk of Myocardial Infarction: A Nested Case-Control Analysis in the JPHC Study.
Kihara Tomomi et al. Journal of atherosclerosis and thrombosis 2020 Aug - Prevalence Of familial hypercholeSTerolaemia (FH) in Italian Patients with coronary artERy disease: The POSTER study.
Gulizia Michele Massimo et al. Atherosclerosis 2020 Jul 30832-38 - SVAD: A genetic database curates non-ischemic sudden cardiac death-associated variants.
Huang Wei-Chih et al. PloS one 2020 15(8) e0237731
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 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
Content Summary
- NIH Information (1)
- COVID-19 (71)
- CDC Publications (1)
- Human Genome Epidemiologic Studies (2484)
- GWAS Studies (57)
- Human Genomics Translation/Implementation Studies (129)
- Genomic Tests Evidence Synthesis (15)
- Genomic Tests Guidelines (4)
- Non-Genomics Precision Health (35)
- State Public Health Genomics Programs (3)
- Reviews/Commentaries (18)
- Tools/Methods (1)
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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 the CDC Office of Public Health Genomics 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:Oct 1, 2020
- Page last updated:Dec 28, 2020
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