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

Abel Romero-Corral, Virend Somers, Justo Sierra-Johnson, Michael Dennis Jensen, Randal J. Thomas, Ray W. Squires, Thomas G. Allison, Josef Korinek, Francisco Lopez-Jimenez

Research output: Contribution to journalArticle

148 Citations (Scopus)

Abstract

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% (ρ = 0.66, P < 0.0001), it also had a good correlation with lean mass (ρ = 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.

Original languageEnglish (US)
Pages (from-to)2087-2093
Number of pages7
JournalEuropean Heart Journal
Volume28
Issue number17
DOIs
StatePublished - Sep 2007

Fingerprint

Coronary Artery Disease
Body Mass Index
Obesity
Adipose Tissue
Plethysmography
Survival
Adiposity
Waist Circumference
Body Composition
Cross-Sectional Studies
Air
Weights and Measures

Keywords

  • Body fat
  • Body mass index
  • Cardiovascular risk factor
  • Diagnostic performance
  • Obesity

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Diagnostic performance of body mass index to detect obesity in patients with coronary artery disease. / Romero-Corral, Abel; Somers, Virend; Sierra-Johnson, Justo; Jensen, Michael Dennis; Thomas, Randal J.; Squires, Ray W.; Allison, Thomas G.; Korinek, Josef; Lopez-Jimenez, Francisco.

In: European Heart Journal, Vol. 28, No. 17, 09.2007, p. 2087-2093.

Research output: Contribution to journalArticle

Romero-Corral, Abel ; Somers, Virend ; Sierra-Johnson, Justo ; Jensen, Michael Dennis ; Thomas, Randal J. ; Squires, Ray W. ; Allison, Thomas G. ; Korinek, Josef ; Lopez-Jimenez, Francisco. / Diagnostic performance of body mass index to detect obesity in patients with coronary artery disease. In: European Heart Journal. 2007 ; Vol. 28, No. 17. pp. 2087-2093.
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AU - Thomas, Randal J.

AU - Squires, Ray W.

AU - Allison, Thomas G.

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AU - Lopez-Jimenez, Francisco

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N2 - 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% (ρ = 0.66, P < 0.0001), it also had a good correlation with lean mass (ρ = 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.

AB - 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% (ρ = 0.66, P < 0.0001), it also had a good correlation with lean mass (ρ = 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.

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