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Femoral neck and spine bone mineral density-Surrogate marker of aortic calcification in postmenopausal women
OBJECTIVE: Osteoporosis and abdominal aortic calcification (AAC) are associated with increased morbidity and mortality in postmenopausal women. The aim of this study was to determine the accuracy of anterior-posterior (AP) dual-energy X-ray absorptiometry (DXA) compared with that of X-ray lateral lu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Kare Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336807/ https://www.ncbi.nlm.nih.gov/pubmed/26467382 http://dx.doi.org/10.5152/akd.2015.6016 |
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author | Avramovski, Petar Avramovska, Maja Lazarevski, Miroslav Sikole, Aleksandar |
author_facet | Avramovski, Petar Avramovska, Maja Lazarevski, Miroslav Sikole, Aleksandar |
author_sort | Avramovski, Petar |
collection | PubMed |
description | OBJECTIVE: Osteoporosis and abdominal aortic calcification (AAC) are associated with increased morbidity and mortality in postmenopausal women. The aim of this study was to determine the accuracy of anterior-posterior (AP) dual-energy X-ray absorptiometry (DXA) compared with that of X-ray lateral lumbar radiography (LLR) in detecting and scoring AAC. METHODS: In this cross-sectional study conducted in 56 postmenopausal asymptomatic females aged 59.0±9.3 years and who never used medications to treat osteoporosis before, we determined femoral neck and lumbar spine bone mineral density (BMD) by AP DXA and AAC by X-ray LLR. We hypothesized that the subtracted femoral neck BMD (BMD(FN)) from lumbar spine BMD (BMD(LS)) presented as ΔBMD=BMD(LS)–BMD(FN) would have a diagnostic value in detecting abdominal vascular calcification. RESULTS: The mean BMD(FN) was 0.744±0.184 g/cm(2), and the mean BMD(LS) was 0.833±0.157 g/cm(2) (p<0.0001); the mean ΔBMD was 0.089±0.077 g/cm(2), and the mean AAC score was 2.182±1.982. Bivariate Pearson’s correlation analysis revealed a significant positive correlation between AAC and ΔBMD (r=0.449, p=0.0006); by linear regression analysis, R(2)=0.2019, and by multiple regression analysis, βst=13.5244 (p<0.0001). We found a sensitivity of 64.3% and specificity of 82.9% by receiver operating characteristic [ROC; area under the ROC curve (AUC=0.759)] in the prediction of AAC by ΔBMD. CONCLUSION: This AP subtracting BMD DXA method provides a useful tool for detecting and scoring subclinical and extensive AAC in postmenopausal women using a simple, semiquantitative, and accurate scoring system with minimal radiation exposure and low cost. |
format | Online Article Text |
id | pubmed-5336807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Kare Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-53368072017-06-28 Femoral neck and spine bone mineral density-Surrogate marker of aortic calcification in postmenopausal women Avramovski, Petar Avramovska, Maja Lazarevski, Miroslav Sikole, Aleksandar Anatol J Cardiol Original Investigation OBJECTIVE: Osteoporosis and abdominal aortic calcification (AAC) are associated with increased morbidity and mortality in postmenopausal women. The aim of this study was to determine the accuracy of anterior-posterior (AP) dual-energy X-ray absorptiometry (DXA) compared with that of X-ray lateral lumbar radiography (LLR) in detecting and scoring AAC. METHODS: In this cross-sectional study conducted in 56 postmenopausal asymptomatic females aged 59.0±9.3 years and who never used medications to treat osteoporosis before, we determined femoral neck and lumbar spine bone mineral density (BMD) by AP DXA and AAC by X-ray LLR. We hypothesized that the subtracted femoral neck BMD (BMD(FN)) from lumbar spine BMD (BMD(LS)) presented as ΔBMD=BMD(LS)–BMD(FN) would have a diagnostic value in detecting abdominal vascular calcification. RESULTS: The mean BMD(FN) was 0.744±0.184 g/cm(2), and the mean BMD(LS) was 0.833±0.157 g/cm(2) (p<0.0001); the mean ΔBMD was 0.089±0.077 g/cm(2), and the mean AAC score was 2.182±1.982. Bivariate Pearson’s correlation analysis revealed a significant positive correlation between AAC and ΔBMD (r=0.449, p=0.0006); by linear regression analysis, R(2)=0.2019, and by multiple regression analysis, βst=13.5244 (p<0.0001). We found a sensitivity of 64.3% and specificity of 82.9% by receiver operating characteristic [ROC; area under the ROC curve (AUC=0.759)] in the prediction of AAC by ΔBMD. CONCLUSION: This AP subtracting BMD DXA method provides a useful tool for detecting and scoring subclinical and extensive AAC in postmenopausal women using a simple, semiquantitative, and accurate scoring system with minimal radiation exposure and low cost. Kare Publishing 2016-03 2015-05-05 /pmc/articles/PMC5336807/ /pubmed/26467382 http://dx.doi.org/10.5152/akd.2015.6016 Text en Copyright © 2016 Turkish Society of Cardiology http://creativecommons.org/licenses/by-nc-sa/4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License |
spellingShingle | Original Investigation Avramovski, Petar Avramovska, Maja Lazarevski, Miroslav Sikole, Aleksandar Femoral neck and spine bone mineral density-Surrogate marker of aortic calcification in postmenopausal women |
title | Femoral neck and spine bone mineral density-Surrogate marker of aortic calcification in postmenopausal women |
title_full | Femoral neck and spine bone mineral density-Surrogate marker of aortic calcification in postmenopausal women |
title_fullStr | Femoral neck and spine bone mineral density-Surrogate marker of aortic calcification in postmenopausal women |
title_full_unstemmed | Femoral neck and spine bone mineral density-Surrogate marker of aortic calcification in postmenopausal women |
title_short | Femoral neck and spine bone mineral density-Surrogate marker of aortic calcification in postmenopausal women |
title_sort | femoral neck and spine bone mineral density-surrogate marker of aortic calcification in postmenopausal women |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336807/ https://www.ncbi.nlm.nih.gov/pubmed/26467382 http://dx.doi.org/10.5152/akd.2015.6016 |
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