Literature DB >> 17626030

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

Abel Romero-Corral1, Virend K Somers, Justo Sierra-Johnson, Michael D Jensen, Randal J Thomas, Ray W Squires, Thomas G Allison, Josef Korinek, Francisco Lopez-Jimenez.   

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% (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 >or= 30 kg/m2 had a good specificity (95%; 95% CI, 83-100) but a poor sensitivity (43%; 95% CI, 32-54) while a BMI >or= 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/m(2) 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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Year:  2007        PMID: 17626030     DOI: 10.1093/eurheartj/ehm243

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  61 in total

1.  Body composition and heart failure prevalence and prognosis: getting to the fat of the matter in the "obesity paradox".

Authors:  Carl J Lavie; Richard V Milani; Hector O Ventura; Abel Romero-Corral
Journal:  Mayo Clin Proc       Date:  2010-07       Impact factor: 7.616

2.  Adipose Tissue Distribution and Cardiovascular Disease Risk Among Breast Cancer Survivors.

Authors:  Elizabeth M Cespedes Feliciano; Wendy Y Chen; Patrick T Bradshaw; Carla M Prado; Stacey Alexeeff; Kathleen B Albers; Adrienne L Castillo; Bette J Caan
Journal:  J Clin Oncol       Date:  2019-08-01       Impact factor: 44.544

Review 3.  The Importance of Body Composition in Explaining the Overweight Paradox in Cancer-Counterpoint.

Authors:  Bette J Caan; Elizabeth M Cespedes Feliciano; Candyce H Kroenke
Journal:  Cancer Res       Date:  2018-04-15       Impact factor: 12.701

4.  A new predictive equation for evaluating women body fat percentage and obesity-related cardiovascular disease risk.

Authors:  A De Lorenzo; A Nardi; L Iacopino; E Domino; G Murdolo; C Gavrila; D Minella; G Scapagnini; L Di Renzo
Journal:  J Endocrinol Invest       Date:  2014-01-24       Impact factor: 4.256

Review 5.  Does sustained weight loss reverse the metabolic syndrome?

Authors:  Annie Ferland; Robert H Eckel
Journal:  Curr Hypertens Rep       Date:  2011-12       Impact factor: 5.369

6.  Epicardial adipose tissue volume as a marker of coronary artery disease severity in patients with diabetes independent of coronary artery calcium: findings from the CTRAD study.

Authors:  Dilbahar S Mohar; Jonathan Salcedo; Khiet C Hoang; Shivesh Kumar; Farhood Saremi; Ashwini S Erande; Nassim Naderi; Pradeep Nadeswaran; Christine Le; Shaista Malik
Journal:  Diabetes Res Clin Pract       Date:  2014-09-06       Impact factor: 5.602

Review 7.  Food and addiction among the ageing population.

Authors:  Susan Murray; Cindy Kroll; Nicole M Avena
Journal:  Ageing Res Rev       Date:  2014-10-17       Impact factor: 10.895

Review 8.  Use of anthropometry for the prediction of regional body tissue distribution in adults: benefits and limitations in clinical practice.

Authors:  Aldo Scafoglieri; Jan Pieter Clarys; Erik Cattrysse; Ivan Bautmans
Journal:  Aging Dis       Date:  2013-12-15       Impact factor: 6.745

9.  Accuracy of body mass index in diagnosing obesity in the adult general population.

Authors:  A Romero-Corral; V K Somers; J Sierra-Johnson; R J Thomas; M L Collazo-Clavell; J Korinek; T G Allison; J A Batsis; F H Sert-Kuniyoshi; F Lopez-Jimenez
Journal:  Int J Obes (Lond)       Date:  2008-02-19       Impact factor: 5.095

10.  Concentration of apolipoprotein B is comparable with the apolipoprotein B/apolipoprotein A-I ratio and better than routine clinical lipid measurements in predicting coronary heart disease mortality: findings from a multi-ethnic US population.

Authors:  Justo Sierra-Johnson; Rachel M Fisher; Abel Romero-Corral; Virend K Somers; Francisco Lopez-Jimenez; John Ohrvik; Göran Walldius; Mai-Lis Hellenius; Anders Hamsten
Journal:  Eur Heart J       Date:  2008-08-01       Impact factor: 29.983

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