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 - Substantially Elevated Atherosclerotic Risks in Japanese Severe Familial Hypercholesterolemia Defined by the International Atherosclerosis Society.
Funabashi Sayaka et al. JACC. Asia 2022 1(2) 245-255 - An LDLR missense variant poses high risk of familial hypercholesterolemia in 30% of Greenlanders and offers potential of early cardiovascular disease intervention.
Jørsboe Emil et al. HGG advances 2022 3(4) 100118 - Machine Learning Approach to Predict In-Hospital Mortality in Patients Admitted for Peripheral Artery Disease in the United States.
Zhang Donglan et al. Journal of the American Heart Association 2022 e026987 - Causal Association of Cardiovascular Risk Factors and Lifestyle Behaviors With Peripheral Artery Disease: A Mendelian Randomization Approach.
Hoek Anna G et al. Journal of the American Heart Association 2022 e025644 - Applications of artificial intelligence for patients with peripheral artery disease.
Lareyre Fabien et al. Journal of vascular surgery 2022 - Lipoprotein (a)
CDC, June 29, 2022 - Artificial intelligence for the evaluation of peripheral artery disease using arterial Doppler waveforms to predict abnormal ankle-brachial index.
McBane Robert D et al. Vascular medicine (London, England) 2022 1358863X221094082 - Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial Disease.
Cox Meredith et al. Cardiovascular and interventional radiology 2022 - Development of a polygenic risk score to improve detection of peripheral artery disease.
Wang Fudi et al. Vascular medicine (London, England) 2022 1358863X211067564 - Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters.
Sonnenschein Kristina et al. Biomedicines 2021 9(10) - Global perspective of familial hypercholesterolaemia: a cross-sectional study from the EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC).
et al. Lancet (London, England) 2021 - Machine-Learning-Derived Model for the Stratification of Cardiovascular risk in Patients with Ischemic Stroke.
Ntaios George et al. Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 2021 30(10) 106018 - The Added Value of Coronary Calcium Score in Predicting Cardiovascular Events in Familial Hypercholesterolemia.
Gallo Antonio et al. JACC. Cardiovascular imaging 2021 - Familial Hypercholesterolemia Identification Algorithm in Patients with Acute Cardiovascular Events in A Large Hospital Electronic Database in Bulgaria: A Call for Implementation.
Petrov Ivo et al. Advances in therapy 2021 - Genetics of Smoking and Risk of Atherosclerotic Cardiovascular Diseases: A Mendelian Randomization Study.
Levin Michael G et al. JAMA network open 2021 Jan 4(1) e2034461 - Genetics of Smoking and Risk of Atherosclerotic Cardiovascular Diseases
A Mendelian Randomization Study
MG Levin et al, JAMA Network Open, January 19, 2021 - Progress of Gene Therapy in Cardiovascular Disease.
Shimamura Munehisa et al. Hypertension (Dallas, Tex. : 1979) 2020 Aug HYPERTENSIONAHA12014478 - Association of APOL1 Risk Alleles with Cardiovascular Disease in African Americans in the Million Veteran Program.
Bick Alexander G et al. Circulation 2019 Jul - Effects of Genetic Variants Associated with Familial Hypercholesterolemia on Low-Density Lipoprotein-Cholesterol Levels and Cardiovascular Outcomes in the Million Veteran Program.
Sun Yan V et al. Circulation. Genomic and precision medicine 2018 Dec 11(12) - Predicting Future Cardiovascular Events in Patients With Peripheral Artery Disease Using Electronic Health Record Data.
Ross Elsie Gyang et al. Circulation. Cardiovascular quality and outcomes 2019 12(3) e004741 - Incidence of cardiovascular disease in familial combined hyperlipidemia: A 15-year follow-up study.
Luijten Jim et al. Atherosclerosis 2018 Nov 2801-6 - Results of 5-year follow-up study in patients with peripheral artery disease treated with PL-VEGF165 for intermittent claudication.
Deev Roman et al. Therapeutic advances in cardiovascular disease 2018 Sep 12(9) 237-246 - Local Coverage Determination (LCD): CYP2C19, CYP2D6, CYP2C9, and VKORC1 Genetic Testing (L35698)
The U.S. Centers for Medicare & Medicaid Services - Basic vs More Complex Definitions of Family History in the Prediction of Coronary Heart Disease: The Multi-Ethnic Study of Atherosclerosis.
Patel Jaideep et al. Mayo Clinic proceedings 2018 Mar - Long-Term Cardiovascular Risk in Heterozygous Familial Hypercholesterolemia Relatives Identified by Cascade Screening.
Kjærgaard Kasper Aalbæk et al. Journal of the American Heart Association 2017 Jun 6(6) - Stroke patients' knowledge about cardiovascular family history?-?the Norwegian Stroke in the Young Study (NOR-SYS).
Øygarden Halvor et al. BMC Neurol 2015 Dec 15(1) 276 - Peripheral Artery Disease
From NHLBI health topic site - Atherosclerosis
From NHLBI health topic site - High Blood Cholesterol
From NHLBI health topic site - Smoking and Your Heart
From NHLBI health topic site
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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.
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- Page last updated:Jun 28, 2024
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