Literature DB >> 15304880

Heterogeneity of bone mineral density across skeletal sites and its clinical implications.

H W Deng1, J L Li, J Li, K M Davies, R R Recker.   

Abstract

Low trauma fractures in the elderly are highly predictable by measurement of bone mineral density (BMD). Preventive measures for low BMD, such as hormone replace therapy (HRT), have potential risks. Thus, a rational decision on HRT or other therapy critically depends on an accurate diagnosis of osteopenia/osteoporosis. We assessed the degree of diagnostic heterogeneity based on spine and hip BMD for 2313 women. We found: 1. In ~30.0% of cases, the difference between spine and hip Z- and T-scores was >1.0, and in 20.8% (Z-scores) and 15.2% (T-scores) the difference was >2.0. 2. With increasing age, the proportions of women with Z- or T-scores greater at the hip than the spine generally decreased. 3. The correlation between hip and spine and Z- and T-scores ranged from 0.50 to 0.72, and generally decreased with increasing age. 4. If screened only at the hip or spine, 17.9/27.3% with osteopenia and 1.3/2.9% with osteoporosis at either site would be diagnosed as normal. Corresponding analyses of 143 men yielded similar results. Therefore, if possible, dual X-ray absorptiometry (DXA) of both the spine and hip should be performed for an accurate assessment of osteoporosis at these two most frequently fractured sites. If only one site is chosen, measurement of the hip is preferred to measurement of the spine.

Entities:  

Year:  1998        PMID: 15304880     DOI: 10.1385/jcd:1:4:339

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.963


  8 in total

Review 1.  Diagnosis of postmenopausal osteoporosis: reviews in endocrine and metabolic disorders.

Authors:  A T Shields; C H Chesnut
Journal:  Rev Endocr Metab Disord       Date:  2001-01       Impact factor: 6.514

2.  Toward high-throughput genotyping: dynamic and automatic software for manipulating large-scale genotype data using fluorescently labeled dinucleotide markers.

Authors:  J L Li; H Deng; D B Lai; F Xu; J Chen; G Gao; R R Recker; H W Deng
Journal:  Genome Res       Date:  2001-07       Impact factor: 9.043

3.  Smokeless tobacco use accelerates age-related loss of bone mineral density among older women in a multi-ethnic rural community.

Authors:  Sara A Quandt; John G Spangler; L Douglas Case; Ronny A Bell; Amy E Belflower
Journal:  J Cross Cult Gerontol       Date:  2005-06

4.  Prevalence of low central bone mineral density in a Bulgarian female referral population: a pilot study.

Authors:  Mihail A Boyanov
Journal:  Rheumatol Int       Date:  2005-08-05       Impact factor: 2.631

5.  Bone tissue composition varies across anatomic sites in the proximal femur and the iliac crest.

Authors:  Eve Donnelly; Dennis S Meredith; Joseph T Nguyen; Adele L Boskey
Journal:  J Orthop Res       Date:  2011-10-27       Impact factor: 3.494

Review 6.  Role of genetics in osteoporosis.

Authors:  Robert R Recker; Hong-Wen Deng
Journal:  Endocrine       Date:  2002-02       Impact factor: 3.633

7.  WHOLE BODY AND REGIONAL BONE MINERAL CONTENT AND DENSITY IN WOMEN AGED 20-75 YEARS.

Authors:  M A Boyanov
Journal:  Acta Endocrinol (Buchar)       Date:  2016 Apr-Jun       Impact factor: 0.877

8.  Genome-wide association study identifies ALDH7A1 as a novel susceptibility gene for osteoporosis.

Authors:  Yan Guo; Li-Jun Tan; Shu-Feng Lei; Tie-Lin Yang; Xiang-Ding Chen; Feng Zhang; Yuan Chen; Feng Pan; Han Yan; Xiaogang Liu; Qing Tian; Zhi-Xin Zhang; Qi Zhou; Chuan Qiu; Shan-Shan Dong; Xiang-Hong Xu; Yan-Fang Guo; Xue-Zhen Zhu; Shan-Lin Liu; Xiang-Li Wang; Xi Li; Yi Luo; Li-Shu Zhang; Meng Li; Jin-Tang Wang; Ting Wen; Betty Drees; James Hamilton; Christopher J Papasian; Robert R Recker; Xiao-Ping Song; Jing Cheng; Hong-Wen Deng
Journal:  PLoS Genet       Date:  2010-01-08       Impact factor: 5.917

  8 in total

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