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European Heart Journal Advance Access originally published online on July 10, 2007
European Heart Journal 2007 28(17):2087-2093; doi:10.1093/eurheartj/ehm243
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© The European Society of Cardiology 2007. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org

Diagnostic performance of body mass index to detect obesity in patients with coronary artery disease

Abel Romero-Corral1, Virend K. Somers1, Justo Sierra-Johnson3, Michael D. Jensen2, Randal J. Thomas1, Ray W. Squires1, Thomas G. Allison1, Josef Korinek1 and Francisco Lopez-Jimenez1,*

1 Division of Cardiovascular Diseases, Department of Internal Medicine, Gonda 5-368, 200 First Street SW, Rochester, MN 55905, USA
2 Endocrine Research Unit, Mayo Clinic College of Medicine, Mayo Foundation, Rochester, MN, USA
3 Department of Medicine, Atherosclerosis Research Unit, Karolinska Insititutet, Stockholm, Sweden

Received 26 January 2007; revised 30 April 2007; accepted 22 May 2007; online publish-ahead-of-print 10 July 2007.

* Corresponding author. Tel: +1 507 284 8087; fax: +1 507 266 7929. E-mail address: lopez{at}mayo.edu

See page 2047 for the editorial comment on this article (doi:10.1093/eurheartj/ehm321)

Background: Emerging evidence suggests that a mildly elevated body mass index (BMI), is related to improved survival and fewer cardiovascular events in patients with coronary artery disease (CAD). We hypothesize that these results are related to the poor diagnostic performance of BMI to detect adiposity, especially in the intermediate BMI ranges.

Methods and Results: A cross-sectional study of 95 patients with CAD referred to phase II cardiac rehabilitation. Body fat (BF)% was estimated by air displacement plethysmography. Height, weight, BMI and waist circumference were measured the same day. We calculated the correlation between BMI and both, BF% and lean mass and assessed the diagnostic performance of BMI to detect obesity defined as a BF% > 25% in men and > 35% in women. Although BMI had a good correlation with BF% ({rho} = 0.66, P < 0.0001), it also had a good correlation with lean mass ({rho} = 0.41, P < 0.0001), and BMI failed to discriminate between both (P-value = 0.72). A BMI ≥ 30 kg/m2 had a good specificity (95%; 95% CI, 83–100) but a poor sensitivity (43%; 95% CI, 32–54) while a BMI ≥ 25 kg/m2 had a good sensitivity (91%; 95% CI, 84–97) but a poor specificity (65%; 95% CI, 42–88) to detect BF%-obesity.

Conclusions: In patients with CAD, BMI does not discriminate between BF% and lean mass, and a BMI < 30 kg/m2 is a poor index to diagnose obesity. These findings may explain the controversial findings that link mild elevations of BMI to better survival and fewer cardiovascular events in patients with CAD. Body composition techniques to accurately diagnose obesity in patients with CAD might be necessary.

Key Words: Obesity • Body fat • Body mass index • Diagnostic performance • Cardiovascular risk factor


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