Peripheral Artery Disease
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Last Posted: May 23, 2024
- Cardiovascular outcomes in patients with homozygous familial hypercholesterolaemia on lipoprotein apheresis initiated during childhood: long-term follow-up of an international cohort from two registries.
M Doortje Reijman et al. Lancet Child Adolesc Health 2024 - Physical performance strongly predicts all-cause mortality risk in a real-world population of older diabetic patients: machine learning approach for mortality risk stratification.
Alberto Montesanto et al. Front Endocrinol (Lausanne) 2024 151359482 - A focused update to the 2019 NLA scientific statement on use of lipoprotein(a) in clinical practice.
Marlys L Koschinsky et al. J Clin Lipidol 2024 - Physical signs and atherosclerotic cardiovascular disease in familial hypercholesterolemia: the HELLAS-FH Registry.
Loukianos S Rallidis et al. J Cardiovasc Med (Hagerstown) 2024 - Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD.
Ben Li et al. JAMA Netw Open 2024 7(3) e242350 - A cost-effective sequencing method for genetic studies combining high-depth whole exome and low-depth whole genome.
Claude Bhérer et al. NPJ Genom Med 2024 9(1) 8 - Cardiovascular disease (CVD) outcomes and associated risk factors in a medicare population without prior CVD history: an analysis using statistical and machine learning algorithms.
Gregory Yoke Hong Lip et al. Intern Emerg Med 2023 1-11 - Wearable Devices in Cardiovascular Medicine.
Andrew Hughes et al. Circulation research 2023 132(5) 652-670 - Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling.
Austin Andrea M et al. BMC medical research methodology 2022 22(1) 300 - Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease.
Cox Meredith et al. PloS one 2022 17(11) e0277507
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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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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
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