![]() Aragam KG, Jiang T, Goel A, Kanoni S, Wolford BN, Weeks EM, Wang M, Hindy G, Wei Z, Grace C, et al. doi: 10.1038/ng.3913 Crossref Medline Google Scholar Association analyses based on false discovery rate implicate new loci for coronary artery disease. Nelson CP, Goel A, Butterworth AS, Kanoni S, Webb TR, Marouli E, Zeng L, Ntalla I, Lai FY, Hopewell JC, et al. doi: 10.1038/ng.782 Crossref Medline Google Scholar A genome-wide association study in Europeans and South Asians identifies five new loci for coronary artery disease. Coronary Artery Disease (C4D) Genetics Consortium. doi: 10.1038/ng.3396 Crossref Medline Google Scholar A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease. ![]() Nikpay M, Goel A, Won HH, Hall LM, Willenborg C, Kanoni S, Saleheen D, Kyriakou T, Nelson CP, Hopewell JC, et al. doi: 10.1038/ng.307 Crossref Medline Google Scholar New susceptibility locus for coronary artery disease on chromosome 3q22.3. Erdmann J, Grosshennig A, Braund PS, Konig IR, Hengstenberg C, Hall AS, Linsel-Nitschke P, Kathiresan S, Wright B, Tregouet DA, et al. doi: 10.1038/ng.784 Crossref Medline Google Scholar Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Schunkert H, Konig IR, Kathiresan S, Reilly MP, Assimes TL, Holm H, Preuss M, Stewart AF, Barbalic M, Gieger C, et al. doi: 10.1056/NEJMoa072366 Crossref Medline Google Scholar Genomewide association analysis of coronary artery disease. Samani NJ, Erdmann J, Hall AS, Hengstenberg C, Mangino M, Mayer B, Dixon RJ, Meitinger T, Braund P, Wichmann HE, et al. doi: 10.1371/journal.pgen.1002260 Crossref Medline Google Scholar Large-scale gene-centric analysis identifies novel variants for coronary artery disease. doi: 10.1038/ng.2480 Crossref Medline Google Scholar Large-scale association analysis identifies new risk loci for coronary artery disease. The CARDIoGRAMplusC4D Consortium, Deloukas P, Kanoni S, Willenborg C, Farrall M, Assimes TL, Thompson JR, Ingelsson E, Saleheen D, Erdmann J, et al. Heart disease and stroke statistics-2020 update: a report from the American Heart Association. Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, et al. Customer Service and Ordering Information.About Circ: Genomic and Precision Medicine.Stroke: Vascular and Interventional Neurology.Journal of the American Heart Association (JAHA).Circ: Cardiovascular Quality & Outcomes. ![]() Arteriosclerosis, Thrombosis, and Vascular Biology (ATVB).Finally, we stress the need for research efforts to improve assessment of ASCVD risk given the suboptimal performance of available risk algorithms and suggest potential future directions in this regard.Ĭopyright © 2014 Mayo Foundation for Medical Education and Research. In addition to the adjuncts for ASCVD risk estimation recommended in the guidelines, measures that may be useful in refining risk estimates include carotid ultrasonography, aortic pulse wave velocity, and serum lipoprotein(a) levels. We recommend obtaining family history of ASCVD at the time of estimating ASCVD risk and consideration of imaging to assess subclinical disease burden in patients at intermediate risk. In this review, we provide a perspective on the new guidelines, highlighting what is new, what is controversial, and potential adaptations. The guidelines provide a valuable framework that can be adapted on the basis of clinical judgment and individual/institutional expertise. The recently published American College of Cardiology (ACC)/American Heart Association (AHA) guidelines for cardiovascular risk assessment provide equations to estimate the 10-year and lifetime atherosclerotic cardiovascular disease (ASCVD) risk in African Americans and non-Hispanic whites, include stroke as an adverse cardiovascular outcome, and emphasize shared decision making. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |