Marco Canepa1, Pietro Ameri2, Majd AlGhatrif3, Gabriele Pestelli2, Yuri Milaneschi4, James B Strait5, Francesco Giallauria6, Giorgio Ghigliotti2, Claudio Brunelli2, Edward G Lakatta5, Luigi Ferrucci6. 1. Longitudinal Studies Section, Translational Gerontology Branch, NIA/NIH, Baltimore, MD, USA; Laboratory of Cardiovascular Sciences, Human Cardiovascular Studies Unit, NIA/NIH, Baltimore, MD, USA; Department of Internal Medicine, University of Genova, Genova, Italy. Electronic address: marco.canepa@unige.it. 2. Department of Internal Medicine, University of Genova, Genova, Italy. 3. Longitudinal Studies Section, Translational Gerontology Branch, NIA/NIH, Baltimore, MD, USA; Laboratory of Cardiovascular Sciences, Human Cardiovascular Studies Unit, NIA/NIH, Baltimore, MD, USA; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA. 4. Longitudinal Studies Section, Translational Gerontology Branch, NIA/NIH, Baltimore, MD, USA; Department of Psychiatry, VU University Medical Center/GGZ inGeest, Amsterdam, The Netherlands. 5. Laboratory of Cardiovascular Sciences, Human Cardiovascular Studies Unit, NIA/NIH, Baltimore, MD, USA. 6. Longitudinal Studies Section, Translational Gerontology Branch, NIA/NIH, Baltimore, MD, USA.
Abstract
OBJECTIVE: There is a J-shaped relationship between body mass index (BMI) and cardiovascular outcomes in elderly patients (obesity paradox). Whether low BMI correlates with aortic calcification (AC) and whether this association is accounted for by bone demineralization is uncertain. METHODS: Presence of AC was evaluated in 687 community-dwelling individuals (49% male, mean age 67 ± 13 years) using CT images of the thoracic, upper and lower abdominal aorta, and scored from 0 to 3 according to number of sites that showed any calcification. Whole-body bone mineral density (BMD) was evaluated by dual-energy X-ray absorptiometry. Predictors of AC were assessed by logistic regression, and the role of BMD using mediation analysis. RESULTS: Age and cardiovascular risk factors were positively associated while both BMI (r = -0.11, p < 0.01) and BMD (r = -0.17, p < 0.0001) were negatively associated with AC severity. In multivariate models, lower BMI (OR 0.96, 95%CI 0.92-0.99, p = 0.01), older age, higher systolic blood pressure, use of lipid-lowering drugs and smoking were independent predictors of AC. A nonlinear relationship between BMI and AC was noticed (p = 0.03), with decreased AC severity among overweight participants. After adjusting for BMD, the coefficient relating BMI to AC was reduced by 14% and was no longer significant, whereas BMD remained negatively associated with AC (OR 0.82, 95%CI 0.069-0.96, p = 0.01), with a trend for a stronger relationship in older participants. CONCLUSION: Low BMI is associated with increased AC, possibly through calcium mobilization from bone, resulting in low BMD. Prevention of weight loss and bone demineralization with aging may help reducing AC. Published by Elsevier Ireland Ltd.
OBJECTIVE: There is a J-shaped relationship between body mass index (BMI) and cardiovascular outcomes in elderly patients (obesity paradox). Whether low BMI correlates with aortic calcification (AC) and whether this association is accounted for by bone demineralization is uncertain. METHODS: Presence of AC was evaluated in 687 community-dwelling individuals (49% male, mean age 67 ± 13 years) using CT images of the thoracic, upper and lower abdominal aorta, and scored from 0 to 3 according to number of sites that showed any calcification. Whole-body bone mineral density (BMD) was evaluated by dual-energy X-ray absorptiometry. Predictors of AC were assessed by logistic regression, and the role of BMD using mediation analysis. RESULTS: Age and cardiovascular risk factors were positively associated while both BMI (r = -0.11, p < 0.01) and BMD (r = -0.17, p < 0.0001) were negatively associated with AC severity. In multivariate models, lower BMI (OR 0.96, 95%CI 0.92-0.99, p = 0.01), older age, higher systolic blood pressure, use of lipid-lowering drugs and smoking were independent predictors of AC. A nonlinear relationship between BMI and AC was noticed (p = 0.03), with decreased AC severity among overweight participants. After adjusting for BMD, the coefficient relating BMI to AC was reduced by 14% and was no longer significant, whereas BMD remained negatively associated with AC (OR 0.82, 95%CI 0.069-0.96, p = 0.01), with a trend for a stronger relationship in older participants. CONCLUSION: Low BMI is associated with increased AC, possibly through calcium mobilization from bone, resulting in low BMD. Prevention of weight loss and bone demineralization with aging may help reducing AC. Published by Elsevier Ireland Ltd.
Entities:
Keywords:
Aortic calcification; Body mass index; Body size; Bone mineral density; Calcification paradox; Obesity paradox
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