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Efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in Chinese female population

BACKGROUND: Areal bone mineral density (aBMD) applied for osteoporosis diagnosis unavoidably results in the missingdiagnosis in patients with large bones and misdiagnosis in those with small bones. Therefore, we try to find a new adjusted index of bone mineral content (BMC) to make up shortcomings o...

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Autores principales: Liu, Ting-Ting, Li, Xiao-Dan, Wang, Wen-Zhi, Zhang, Jian-Gao, Yang, Ding-Zhuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595849/
https://www.ncbi.nlm.nih.gov/pubmed/30897592
http://dx.doi.org/10.1097/CM9.0000000000000143
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author Liu, Ting-Ting
Li, Xiao-Dan
Wang, Wen-Zhi
Zhang, Jian-Gao
Yang, Ding-Zhuo
author_facet Liu, Ting-Ting
Li, Xiao-Dan
Wang, Wen-Zhi
Zhang, Jian-Gao
Yang, Ding-Zhuo
author_sort Liu, Ting-Ting
collection PubMed
description BACKGROUND: Areal bone mineral density (aBMD) applied for osteoporosis diagnosis unavoidably results in the missingdiagnosis in patients with large bones and misdiagnosis in those with small bones. Therefore, we try to find a new adjusted index of bone mineral content (BMC) to make up shortcomings of aBMD in osteoporosis diagnosis. METHODS: In this multi-center epidemiological study, BMC and aBMD of lumbar spines (n = 5510) and proximal femurs (n = 4710) were measured with dual energy X-ray absorptiometry (DXA). We analyzed the correlation between the bone mass and body weight in all subjects including four age groups (<19 years, 20–39 years, 40–49 years, >50 years). And then the body weight was used for standardizing BMC (named wBMC) and applied for the epidemiological analysis of osteoporosis. RESULTS: The correlation of body weight and BMC is 0.839 to 0.931 of lumbar vertebra 1–4 (L(1–4)), and 0.71 to 0.95 of femoral neck in different age groups. When aBMD was applied for diagnosing osteoporosis, the prevalence was 7.55%, 16.39%, and 25.83% in patients with a high, intermediate, and low body weight respectively. However, the prevalence was 21.8%, 18.03%, and 11.64% by wBMC applied for diagnosing osteoporosis. Moreover, the prevalence of osteoporosis increased by 3.76% by wBMC with the body weight increased by 5 kg. The prevalence decreased by 1.94% when the body weight decreased by 5 kg. CONCLUSIONS: wBMC can reduce the missed diagnosis in patients with large body weight and reduce misdiagnosis in those with small body weight. Including children, wBMC may be feasible for osteoporosis diagnosis individuals at any age.
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spelling pubmed-65958492019-07-02 Efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in Chinese female population Liu, Ting-Ting Li, Xiao-Dan Wang, Wen-Zhi Zhang, Jian-Gao Yang, Ding-Zhuo Chin Med J (Engl) Original Articles BACKGROUND: Areal bone mineral density (aBMD) applied for osteoporosis diagnosis unavoidably results in the missingdiagnosis in patients with large bones and misdiagnosis in those with small bones. Therefore, we try to find a new adjusted index of bone mineral content (BMC) to make up shortcomings of aBMD in osteoporosis diagnosis. METHODS: In this multi-center epidemiological study, BMC and aBMD of lumbar spines (n = 5510) and proximal femurs (n = 4710) were measured with dual energy X-ray absorptiometry (DXA). We analyzed the correlation between the bone mass and body weight in all subjects including four age groups (<19 years, 20–39 years, 40–49 years, >50 years). And then the body weight was used for standardizing BMC (named wBMC) and applied for the epidemiological analysis of osteoporosis. RESULTS: The correlation of body weight and BMC is 0.839 to 0.931 of lumbar vertebra 1–4 (L(1–4)), and 0.71 to 0.95 of femoral neck in different age groups. When aBMD was applied for diagnosing osteoporosis, the prevalence was 7.55%, 16.39%, and 25.83% in patients with a high, intermediate, and low body weight respectively. However, the prevalence was 21.8%, 18.03%, and 11.64% by wBMC applied for diagnosing osteoporosis. Moreover, the prevalence of osteoporosis increased by 3.76% by wBMC with the body weight increased by 5 kg. The prevalence decreased by 1.94% when the body weight decreased by 5 kg. CONCLUSIONS: wBMC can reduce the missed diagnosis in patients with large body weight and reduce misdiagnosis in those with small body weight. Including children, wBMC may be feasible for osteoporosis diagnosis individuals at any age. Wolters Kluwer Health 2019-04-05 2019-04-05 /pmc/articles/PMC6595849/ /pubmed/30897592 http://dx.doi.org/10.1097/CM9.0000000000000143 Text en Copyright © 2019 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Original Articles
Liu, Ting-Ting
Li, Xiao-Dan
Wang, Wen-Zhi
Zhang, Jian-Gao
Yang, Ding-Zhuo
Efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in Chinese female population
title Efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in Chinese female population
title_full Efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in Chinese female population
title_fullStr Efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in Chinese female population
title_full_unstemmed Efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in Chinese female population
title_short Efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in Chinese female population
title_sort efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in chinese female population
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595849/
https://www.ncbi.nlm.nih.gov/pubmed/30897592
http://dx.doi.org/10.1097/CM9.0000000000000143
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