Literature DB >> 8353913

Ankle-arm index as a marker of atherosclerosis in the Cardiovascular Health Study. Cardiovascular Heart Study (CHS) Collaborative Research Group.

A B Newman1, D S Siscovick, T A Manolio, J Polak, L P Fried, N O Borhani, S K Wolfson.   

Abstract

BACKGROUND: Peripheral arterial disease measured noninvasively by the ankle-arm index (AAI) is common in older adults, largely asymptomatic, and associated with clinically manifest cardiovascular disease (CVD). The criteria for an abnormal AAI have varied in previous studies. To determine whether there is an inverse dose-response relation between the AAI and clinical CVD, subclinical disease, and risk factors, we examined the relation of the AAI to cardiovascular risk factors, other noninvasive measures of subclinical atherosclerosis using carotid ultrasound, echocardiography and electrocardiography, and clinical CVD. METHODS AND
RESULTS: The AAI was measured in 5084 participants > or = 65 years old at the baseline examination of the Cardiovascular Health Study. All subjects had detailed assessment of prevalent CVD, measures of cardiovascular risk factors, and noninvasive measures of disease. Participants were stratified by baseline clinical CVD status and AAI (< 0.8, > or = 0.8 to < 0.9, > or = 0.9 to < 1.0, > or = 1.0 to < 1.5). Analyses tested for a dose-response relation of the AAI with clinical CVD, risk factors, and subclinical disease. The cumulative frequency of a low AAI was 7.4% of participants < 0.8, 12.4% < 0.9, and 23.6% < 1.0. participants with an AAI < 0.8 were more than twice as likely as those with an AAI of 1.0 to 1.5 to have a history of myocardial infarction, angina, congestive heart failure, stroke, or transient ischemic attack (all P < .01). In participants free of clinical CVD at baseline, the AAI was inversely related to history of hypertension, history of diabetes, and smoking, as well as systolic blood pressure, serum creatinine, fasting glucose, fasting insulin, measures of pulmonary function, and fibrinogen level (all P < .01). Risk factor associations with the AAI were similar in men and women free of CVD except for serum total and low-density lipoprotein cholesterol, which were inversely associated with AAI level only in women. Risk factors associated with an AAI of < 1.0 in multivariate analysis included smoking (odds ratio [OR], 2.55), history of diabetes (OR, 3.84), increasing age (OR, 1.54), and nonwhite race (OR, 2.36). In the 3372 participants free of clinical CVD, other noninvasive measures of subclinical CVD, including carotid stenosis by duplex scanning, segmental wall motion abnormalities by echocardiogram, and major ECG abnormalities were inversely related to the AAI (all P < .01).
CONCLUSIONS: There was an inverse dose-response relation of the AAI with CVD risk factors and subclinical and clinical CVD among older adults. The lower the AAI, the greater the increase in CVD risk; however, even those with modest, asymptomatic reductions in the AAI (0.8 to 1.0) appear to be at increased risk of CVD.

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Year:  1993        PMID: 8353913     DOI: 10.1161/01.cir.88.3.837

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  216 in total

1.  Fourier analysis of impedance rheography for peripheral arterial occlusive disease.

Authors:  Othmar Schuhfried; Günther Wiesinger; Josef Kollmitzer; Christian Mittermaier; Michael Quittan
Journal:  Eur J Appl Physiol       Date:  2003-04-04       Impact factor: 3.078

2.  Insulin resistance and incident peripheral artery disease in the Cardiovascular Health Study.

Authors:  Kathryn A Britton; Kenneth J Mukamal; Joachim H Ix; David S Siscovick; Anne B Newman; Ian H de Boer; Evan L Thacker; Mary L Biggs; J Michael Gaziano; Luc Djoussé
Journal:  Vasc Med       Date:  2012-03-08       Impact factor: 3.239

3.  Peripheral arterial disease: Epidemiology, natural history, diagnosis and treatment.

Authors:  Gurbir Dhaliwal; Debabrata Mukherjee
Journal:  Int J Angiol       Date:  2007

4.  Leukocyte telomere length is associated with noninvasively measured age-related disease: The Cardiovascular Health Study.

Authors:  Jason L Sanders; Annette L Fitzpatrick; Robert M Boudreau; Alice M Arnold; Abraham Aviv; Masayuki Kimura; Linda F Fried; Tamara B Harris; Anne B Newman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2011-09-20       Impact factor: 6.053

Review 5.  Genetics of peripheral artery disease.

Authors:  Nicholas J Leeper; Iftikhar J Kullo; John P Cooke
Journal:  Circulation       Date:  2012-06-26       Impact factor: 29.690

6.  Fibrosis-related biomarkers and large and small vessel disease: the Cardiovascular Health Study.

Authors:  Isha Agarwal; Alice Arnold; Nicole L Glazer; Eddy Barasch; Luc Djousse; Annette L Fitzpatrick; John S Gottdiener; Joachim H Ix; Richard A Jensen; Jorge R Kizer; Eric B Rimm; David S Siscovick; Russell P Tracy; Tien Y Wong; Kenneth J Mukamal
Journal:  Atherosclerosis       Date:  2015-02-16       Impact factor: 5.162

7.  Elevated levels of inflammation, d-dimer, and homocysteine are associated with adverse calf muscle characteristics and reduced calf strength in peripheral arterial disease.

Authors:  Mary M McDermott; Luigi Ferrucci; Jack M Guralnik; Lu Tian; David Green; Kiang Liu; Jin Tan; Yihua Liao; William H Pearce; Joseph R Schneider; Paul Ridker; Nader Rifai; Frederick Hoff; Michael H Criqui
Journal:  J Am Coll Cardiol       Date:  2007-08-13       Impact factor: 24.094

8.  Clinically relevant depressive symptoms and peripheral arterial disease in elderly men and women. Results from a large cohort study in Southern China.

Authors:  Samuel Y S Wong; Jean Woo; Athena W L Hong; Jason C S Leung; Ping C Leung
Journal:  J Psychosom Res       Date:  2007-11       Impact factor: 3.006

9.  Bone mineral density and the risk of peripheral arterial disease in men and women: results from Mr. and Ms Os, Hong Kong.

Authors:  S Y S Wong; T Kwok; J Woo; H Lynn; J F Griffith; J Leung; Y Y N Tang; P C Leung
Journal:  Osteoporos Int       Date:  2005-08-04       Impact factor: 4.507

10.  Associations of borderline and low normal ankle-brachial index values with functional decline at 5-year follow-up: the WALCS (Walking and Leg Circulation Study).

Authors:  Mary M McDermott; Jack M Guralnik; Lu Tian; Kiang Liu; Luigi Ferrucci; Yihua Liao; Leena Sharma; Michael H Criqui
Journal:  J Am Coll Cardiol       Date:  2009-03-24       Impact factor: 24.094

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