| Comparison of outcomes of patients with symptomatic peripheral artery disease with and without atrial fibrillation (the West Birmingham Atrial Fibrillation Project). | |
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MedLine Citation:
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PMID: 15165931 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In a multiethnic cohort of 388 patients admitted with symptomatic peripheral artery disease, atrial fibrillation was associated with emergency admission and increased mortality. Despite a greater prevalence of hypertension and diabetes in Afro-Caribbeans and diabetes in Indo-Asians, no significant differences were found in atrial fibrillation prevalence or mortality among different ethnic groups. Patients with symptomatic peripheral artery disease and atrial fibrillation should be regarded as "high risk" and managed with optimal medical therapy, including appropriate thromboprophylaxis and close follow-up. |
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Authors:
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Dwayne S G Conway; Gregory Y H Lip |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: The American journal of cardiology Volume: 93 ISSN: 0002-9149 ISO Abbreviation: Am. J. Cardiol. Publication Date: 2004 Jun |
Date Detail:
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Created Date: 2004-05-28 Completed Date: 2004-06-25 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 0207277 Medline TA: Am J Cardiol Country: United States |
Other Details:
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Languages: eng Pagination: 1422-5, A10 Citation Subset: AIM; IM |
Affiliation:
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Haemostasis, Thrombosis and Vascular Biology Unit, University Department of Medicine, City Hospital, Birmingham B18 7QH, United Kingdom. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Aged Amputation / statistics & numerical data Atrial Fibrillation / ethnology, mortality* Cohort Studies Comorbidity Emergencies Ethnic Groups* Female Follow-Up Studies Great Britain / epidemiology Hospital Mortality Humans Logistic Models Male Patient Admission / statistics & numerical data Peripheral Vascular Diseases / ethnology, mortality* Prevalence Proportional Hazards Models Registries / statistics & numerical data Risk Assessment Survival Analysis Time Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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