Skip to main content

Main menu

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • COVID-19 and Rheumatology
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • JRheum Supplements
  • Services

User menu

  • My Cart
  • Log In
  • Log Out

Search

  • Advanced search
The Journal of Rheumatology
  • JRheum Supplements
  • Services
  • My Cart
  • Log In
  • Log Out
The Journal of Rheumatology

Advanced Search

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • COVID-19 and Rheumatology
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • Follow jrheum on Twitter
  • Visit jrheum on Facebook
  • Follow jrheum on LinkedIn
  • Follow jrheum on YouTube
  • Follow jrheum on Instagram
  • Follow jrheum on RSS
Abstract

Influence of nonclassical cardiovascular risk factors on the accuracy of predicting subclinical atherosclerosis in rheumatoid arthritis.

Patrick H Dessein, Gavin R Norton, Angela J Woodiwiss, Barry I Joffe and Fred Wolfe
The Journal of Rheumatology May 2007, 34 (5) 943-951;
Patrick H Dessein
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gavin R Norton
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Angela J Woodiwiss
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Barry I Joffe
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fred Wolfe
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
  • References
  • PDF
  • eLetters
PreviousNext
Loading

Abstract

OBJECTIVE: To determine whether nontraditional risk factors increase the accuracy of predicting the presence of carotid artery plaque based on traditional cardiovascular risk factors only in patients with rheumatoid arthritis (RA). METHODS: We identified risk factors that were independently associated with ultrasonographically located plaque. In predicting carotid artery plaque, the area under the curve (AUC) of the receiver-operating characteristic (ROC) curve for the combination of traditional and nontraditional risk factors was compared to the AUC of the ROC curve for traditional risk factors and nontraditional risk factors considered separately in 91 patients with RA. RESULTS: Thirty-one (34%) patients had carotid artery plaque. The 3 traditional risk factors of age > 55 years, hypertension, and ever-smoking, and the 3 nontraditional risk factors of a disease duration > 8 years, polymorphonuclear cell count > 4.5 x 10(6)/l, and hypothyroidism were each independently associated with the presence of plaque (odds ratios 2.08-8.78; p = 0.001-0.02). The percentage of patients with plaque was 0, 10%, 50%, and 83% in patients with 0-1, 2, 3, and 4-6 of these risk factors, respectively. In predicting plaque, the AUC of the ROC curve for the combination of traditional and nontraditional risk factors (0.90 +/- 0.03) was greater than that for either traditional (0.80 +/- 0.05; p = 0.006) or nontraditional (0.80 +/- 0.04; p = 0.005) risk factors considered separately. CONCLUSION: The combination of disease duration, polymorphonuclear cell counts, and thyroid status increased the accuracy of predicting subclinical atheroma in patients with RA. We believe that our findings merit external validation.

PreviousNext
Back to top

In this issue

The Journal of Rheumatology
Vol. 34, Issue 5
1 May 2007
  • Table of Contents
  • Table of Contents (PDF)
  • Index by Author
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about The Journal of Rheumatology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Influence of nonclassical cardiovascular risk factors on the accuracy of predicting subclinical atherosclerosis in rheumatoid arthritis.
(Your Name) has forwarded a page to you from The Journal of Rheumatology
(Your Name) thought you would like to see this page from the The Journal of Rheumatology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Influence of nonclassical cardiovascular risk factors on the accuracy of predicting subclinical atherosclerosis in rheumatoid arthritis.
Patrick H Dessein, Gavin R Norton, Angela J Woodiwiss, Barry I Joffe, Fred Wolfe
The Journal of Rheumatology May 2007, 34 (5) 943-951;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

 Request Permissions

Share
Influence of nonclassical cardiovascular risk factors on the accuracy of predicting subclinical atherosclerosis in rheumatoid arthritis.
Patrick H Dessein, Gavin R Norton, Angela J Woodiwiss, Barry I Joffe, Fred Wolfe
The Journal of Rheumatology May 2007, 34 (5) 943-951;
Reddit logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
  • Info & Metrics
  • References
  • PDF
  • eLetters

Related Articles

Cited By...

Similar Articles

Content

  • First Release
  • Current
  • Archives
  • Collections
  • Audiovisual Rheum
  • COVID-19 and Rheumatology

Resources

  • Guide for Authors
  • Submit Manuscript
  • Author Payment
  • Reviewers
  • Advertisers
  • Classified Ads
  • Reprints and Translations
  • Permissions
  • Meetings
  • FAQ
  • Policies

Subscribers

  • Subscription Information
  • Purchase Subscription
  • Your Account
  • Terms and Conditions

More

  • About Us
  • Contact Us
  • My Alerts
  • My Folders
  • Privacy/GDPR Policy
  • RSS Feeds
The Journal of Rheumatology
The content of this site is intended for health care professionals.
Copyright © 2023 by The Journal of Rheumatology Publishing Co. Ltd.
Print ISSN: 0315-162X; Online ISSN: 1499-2752
Powered by HighWire