Last Posted: Mar 29, 2022
- Machine Learning Model-Based Simple Clinical Information to Predict Decreased Left Atrial Appendage Flow Velocity.
Li Chao et al. Journal of personalized medicine 2022 12(3)
- Artificial Intelligence for Dynamic Echocardiographic Tricuspid Valve Analysis: A New Tool in Echocardiography.
Fatima Huma et al. Journal of cardiothoracic and vascular anesthesia 2020 May
- Intima-media thickness of the descending aorta in patients with bicuspid aortic valve.
Petrini Johan, et al. International journal of cardiology. Heart & vasculature 2016 6 74-79
- Evaluation of p53 Polymorphism in Patients with Pannus-Derived Prosthetic Dysfunction.
Gursoy Mustafa Ozan, et al. The Journal of heart valve disease 2015 9 (5) 604-11
- Transesophageal Echocardiography
From NHLBI health topic site
- The association of beta-fibrinogen 455 G/A gene polymorphism with left atrial thrombus and severe spontaneous echo contrast in atrial fibrillation.
Bozdemir Volkan, et al. Anadolu kardiyoloji dergisi : AKD = the Anatolian journal of cardiology 2010 6 (3) 209-15
- Advanced age, low left atrial appendage velocity, and factor V promoter sequence variation as predictors of left atrial thrombosis in patients with nonvalvular atrial fibrillation.
Zateyshchikov Dmitry A, et al. Journal of thrombosis and thrombolysis 2010 8 (2) 192-9
- Mutations in the NKX2-5 gene in patients with stroke and patent foramen ovale.
Belvís Robert, et al. Clinical neurology and neurosurgery 2009 9 (7) 574-8
- Factor V Leiden mutation and its relation to left atrial thrombus in chronic nonrheumatic atrial fibrillation.
Gökçe Mustafa, et al. Japanese heart journal 2003 7 (4) 481-91
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
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.