Literature DB >> 9673860

Fast and slow bone losers. Relevance to the management of osteoporosis.

S Hough1.   

Abstract

A low bone mineral density (BMD) is presently regarded as the most important risk factor for the development of osteoporosis. BMD is a function of peak bone mass attained during growth and subsequent age-related bone loss. BMD can be measured accurately and precisely, although the rate of bone loss is more difficult to assess. When axial BMD was measured, the rate of bone loss was shown to increase by 2- to 4-fold at the menopause. Although this rate varies markedly between individuals, it is symmetrically distributed, which argues against the existence of a subpopulation of fast bone losers. Levels of biochemical markers of bone turnover (e.g. osteocalcin, bone specific alkaline phosphatase, deoxypyridinoline) also increase markedly at the menopause, and individuals with a high turnover tend to lose bone more rapidly. Moreover, since increased bone resorption also results in qualitative changes regardless of BMD, a high bone turnover constitutes an independent risk factor. Currently, large intraindividual variations (10 to 40%) in levels of biochemical markers and assay errors still limit our ability to correctly classify individual patients as fast or slow bone losers. The routine use of these markers as a screening tool to predict the risk of osteoporosis in individuals is of limited value, although their selective use in therapeutic decision-making is more promising.

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Year:  1998        PMID: 9673860     DOI: 10.2165/00002512-199812001-00001

Source DB:  PubMed          Journal:  Drugs Aging        ISSN: 1170-229X            Impact factor:   3.923


  40 in total

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Authors:  J A Falch; L Sandvik
Journal:  Bone       Date:  1990       Impact factor: 4.398

2.  Comparison of cross-sectional and longitudinal measurements of age-related changes in bone mineral content.

Authors:  J W Davis; P D Ross; R D Wasnich; C J Maclean; J M Vogel
Journal:  J Bone Miner Res       Date:  1989-06       Impact factor: 6.741

Review 3.  Drug therapy for vertebral fractures in osteoporosis: evidence that decreases in bone turnover and increases in bone mass both determine antifracture efficacy.

Authors:  B L Riggs; L J Melton; W M O'Fallon
Journal:  Bone       Date:  1996-03       Impact factor: 4.398

4.  The value of biochemical markers of bone turnover in osteoporosis.

Authors:  R Eastell; A Blumsohn
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5.  Prediction of rapid bone loss in postmenopausal women.

Authors:  C Christiansen; B J Riis; P Rødbro
Journal:  Lancet       Date:  1987-05-16       Impact factor: 79.321

6.  Mean wall thickness of trabecular bone packets in the human iliac crest: changes with age.

Authors:  P Lips; P Courpron; P J Meunier
Journal:  Calcif Tissue Res       Date:  1978-11-10

7.  Can biochemical markers predict bone loss at the hip and spine?: a 4-year prospective study of 141 early postmenopausal women.

Authors:  R W Keen; T Nguyen; R Sobnack; L A Perry; P W Thompson; T D Spector
Journal:  Osteoporos Int       Date:  1996       Impact factor: 4.507

8.  Increased bone turnover in late postmenopausal women is a major determinant of osteoporosis.

Authors:  P Garnero; E Sornay-Rendu; M C Chapuy; P D Delmas
Journal:  J Bone Miner Res       Date:  1996-03       Impact factor: 6.741

9.  Comparison of new biochemical markers of bone turnover in late postmenopausal osteoporotic women in response to alendronate treatment.

Authors:  P Garnero; W J Shih; E Gineyts; D B Karpf; P D Delmas
Journal:  J Clin Endocrinol Metab       Date:  1994-12       Impact factor: 5.958

10.  Highly precise peripheral quantitative computed tomography for the evaluation of bone density, loss of bone density and structures. Consequences for prophylaxis and treatment.

Authors:  M A Dambacher; M Neff; R Kissling; L Qin
Journal:  Drugs Aging       Date:  1998       Impact factor: 3.923

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Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

Review 3.  Fractal lacunarity of trabecular bone and magnetic resonance imaging: New perspectives for osteoporotic fracture risk assessment.

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Journal:  World J Orthop       Date:  2015-03-18

4.  Bone loss and the risk of non-vertebral fractures in women and men: the Tromsø study.

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Journal:  Osteoporos Int       Date:  2009-11-21       Impact factor: 4.507

5.  Effects of Sigma Anti-bonding Molecule Calcium Carbonate on bone turnover and calcium balance in ovariectomized rats.

Authors:  So-Young Choi; Dongsun Park; Goeun Yang; Sun Hee Lee; Dae Kwon Bae; Seock-Yeon Hwang; Paul K Lee; Yun-Bae Kim; Ill-Hwa Kim; Hyun-Gu Kang
Journal:  Lab Anim Res       Date:  2011-12-19

Review 6.  Sex Differences in Biological Systems and the Conundrum of Menopause: Potential Commonalities in Post-Menopausal Disease Mechanisms.

Authors:  David A Hart
Journal:  Int J Mol Sci       Date:  2022-04-08       Impact factor: 6.208

7.  Patients Undergoing Surgery for Hip Fractures Suffer from Severe Oxidative Stress as Compared to Patients with Hip Osteoarthritis Undergoing Total Hip Arthroplasty.

Authors:  Theofilos Karachalios; Dionyssios Paridis; Fotios Tekos; Zoi Skaperda; Aristidis S Veskoukis; Demetrios Kouretas
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  7 in total

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