Literature DB >> 21183651

Sex differences in the prevalence of peripheral artery disease in patients undergoing coronary catheterization.

Amir H Sadrzadeh Rafie1, Marcia L Stefanick, Stacy T Sims, Tiffany Phan, Mamie Higgins, Andre Gabriel, Themistocles Assimes, Balasubramanian Narasimhan, Kevin T Nead, Jonathan Myers, Jeffrey Olin, John P Cooke.   

Abstract

To determine whether there are sex differences in the prevalence of peripheral artery disease, we performed an observational study of 1014 men and 547 women, aged ≥ 40 years, referred for elective coronary angiography. Women were slightly older, more obese, had higher low-density lipoprotein cholesterol (LDL-C) levels and systolic blood pressure (BP), and were more likely to be African American. Women had higher high-density lipoprotein cholesterol (HDL-C) levels, lower diastolic BP, and were less likely to smoke or to have a history of cardiovascular disease. Women had less prevalent (62% vs 81%) and less severe coronary artery disease (CAD) (p < 0.001 for both) by coronary angiography, but more prevalent peripheral artery disease (PAD) as determined by the ankle-brachial index (ABI) than men (23.6% versus 17.2%). Independent predictors of lower ABI were female sex, black race, older age, tobacco use, CAD, diabetes, and triglyceride level. In a full multivariable logistic regression model, women had a risk-adjusted odds ratio for PAD of 1.78 (95% CI 1.25-2.54) relative to men. Among patients referred for coronary angiography, women have less prevalent and less severe CAD, but more prevalent PAD, a sex difference that is not explained by traditional cardiovascular disease risk factors or CAD severity. Clinical Trial Registration-URL: http://clinicaltrials.gov. Unique identifier: NCT00380185.

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Year:  2010        PMID: 21183651     DOI: 10.1177/1358863X10388345

Source DB:  PubMed          Journal:  Vasc Med        ISSN: 1358-863X            Impact factor:   3.239


  18 in total

1.  Usefulness of the addition of beta-2-microglobulin, cystatin C and C-reactive protein to an established risk factors model to improve mortality risk prediction in patients undergoing coronary angiography.

Authors:  Kevin T Nead; Margaret J Zhou; Roxanne Diaz Caceres; Stephen J Sharp; Mackenzie R Wehner; Jeffrey W Olin; John P Cooke; Nicholas J Leeper
Journal:  Am J Cardiol       Date:  2013-01-01       Impact factor: 2.778

Review 2.  Sex-Specific Characteristics of the Microcirculation.

Authors:  Virginia H Huxley; Scott S Kemp
Journal:  Adv Exp Med Biol       Date:  2018       Impact factor: 2.622

3.  The Association Between Socioeconomic Factors and Incident Peripheral Artery Disease in the Chronic Renal Insufficiency Cohort (CRIC).

Authors:  Jordan B Stoecker; Jordana B Cohen; Nathan Belkin; Jing C Chen; Raymond R Townsend; Dawei Xie; Harold I Feldman; Grace J Wang
Journal:  Ann Vasc Surg       Date:  2021-10-14       Impact factor: 1.466

4.  A risk score assessment tool for peripheral arterial disease in women: From the National Health and Nutrition Examination Survey.

Authors:  Hend Mansoor; Islam Y Elgendy; Renessa S Williams; Verlin W Joseph; Young-Rock Hong; Arch G Mainous
Journal:  Clin Cardiol       Date:  2018-08-17       Impact factor: 2.882

5.  The combination of 9p21.3 genotype and biomarker profile improves a peripheral artery disease risk prediction model.

Authors:  Kelly P Downing; Kevin T Nead; Yoko Kojima; Themistocles Assimes; Lars Maegdefessel; Thomas Quertermous; John P Cooke; Nicholas J Leeper
Journal:  Vasc Med       Date:  2013-12-09       Impact factor: 3.239

6.  Alternative ankle-brachial index method identifies additional at-risk individuals.

Authors:  Kevin T Nead; John P Cooke; Jeffrey W Olin; Nicholas J Leeper
Journal:  J Am Coll Cardiol       Date:  2013-05-22       Impact factor: 24.094

7.  The use of machine learning for the identification of peripheral artery disease and future mortality risk.

Authors:  Elsie Gyang Ross; Nigam H Shah; Ronald L Dalman; Kevin T Nead; John P Cooke; Nicholas J Leeper
Journal:  J Vasc Surg       Date:  2016-06-03       Impact factor: 4.268

8.  Walking impairment questionnaire improves mortality risk prediction models in a high-risk cohort independent of peripheral arterial disease status.

Authors:  Kevin T Nead; Margaret Zhou; Roxanne Diaz Caceres; Jeffrey W Olin; John P Cooke; Nicholas J Leeper
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2013-04-30

9.  Risk of peripheral artery disease according to race and sex: The Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Caitlin W Hicks; Ning Ding; Lucia Kwak; Shoshana H Ballew; Corey A Kalbaugh; Aaron R Folsom; Gerardo Heiss; Josef Coresh; James H Black; Elizabeth Selvin; Kunihiro Matsushita
Journal:  Atherosclerosis       Date:  2021-03-29       Impact factor: 5.162

10.  Peripheral Artery Disease as a Predictor of Coronary Artery Disease in Patients Undergoing Coronary Angiography.

Authors:  Ashok Kumar; Shehar Bano; Umama Bhurgri; Jatender Kumar; Ahmed Ali; Suman Dembra; Love Kumar; Simra Shahid; Dua Khalid; Amber Rizwan
Journal:  Cureus       Date:  2021-05-18
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