Diabetes Care
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online January 9, 2008
Diabetes Care 31:795-797, 2008
DOI: 10.2337/dc07-1391
© 2008 by the American Diabetes Association
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Online-Only Appendix
Right arrow All Versions of this Article:
dc07-1391v1
31/4/795    most recent
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hayes, A. J.
Right arrow Articles by Keech, A. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hayes, A. J.
Right arrow Articles by Keech, A. C.
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Cardiovascular and Metabolic Risk
Original Research

Can Self-Rated Health Scores Be Used for Risk Prediction in Patients With Type 2 Diabetes?

Alison J. Hayes, PHD1, Philip M. Clarke, PHD1, Paul G. Glasziou, PHD2, R. John Simes, FRACP3, Paul L. Drury, FRACP4 and Anthony C. Keech, FRACP3

1 School of Public Health, University of Sydney, Sydney, New South Wales, Australia
2 Department of Primary Care, University of Oxford, Oxford, U.K
3 National Health & Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
4 Auckland Diabetes Centre, Auckland, New Zealand

Address correspondence and reprint requests to Dr. Alison Hayes, School of Public Health, University of Sydney, NSW 2006 Australia. E-mail: alisonh{at}health.usyd.edu.au

OBJECTIVE—To investigate whether self-rated health profiles compiled using the EuroQol group’s visual analog scale (EQ VAS) are independent predictors of vascular events and major complications in people with type 2 diabetes after controlling for standard clinical risk factors.

RESEARCH DESIGN AND METHODS—The study is based on 7,348 individuals with a mean follow-up of 2.4 years after completing the EQ-5D questionnaire. We used Cox proportional hazards modeling to estimate hazard ratios associated with EQ VAS scores after controlling for baseline covariates: age, sex, smoking status, diabetes duration, A1C, systolic blood pressure, BMI, plasma lipids, and prior clinical history.

RESULTS—A 10-point higher EQ VAS score was associated with a 6% (95% CI 1–11) lower risk of vascular events and a 22% (95% CI 15–28) lower risk of diabetesc complications.

CONCLUSIONS—Self-rated health profiles compiled using the EQ VAS provide valuable information on patient risk in addition to that determined from clinical risk factors alone.

Abbreviations: VAS, visual analog scale • FIELD, Finofibrate Intervention and Event Lowering in Diabetes study


Add to CiteULike CiteULike   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Diabetes Diabetes Care Clinical Diabetes Diabetes Spectrum
Copyright © 2008 by the American Diabetes Association.