Literature DB >> 12464708

What are the criteria by which a densitometric diagnosis of osteoporosis can be made in males and non-Caucasians?

Neil C Binkley, Peg Schmeer, Richard D Wasnich, Leon Lenchik.   

Abstract

Osteoporotic fractures are not rare in men or non-Caucasian women. However, for these groups, there is no consensus densitometric definition of osteoporosis. As is the case in Caucasian women, low bone mineral density (BMD) is associated with increased fracture risk among men and non-Caucasian women; thus, a densitometric definition of osteoporosis seems feasible. Reaching agreement on criteria for diagnosing osteoporosis in men and non-Caucasians was among the goals of the International Society for Clinical Densitometry Position Development Conference held in July 2001. To this end, the conference recommendation for males is that osteoporosis be defined as a BMD T-score of -2.5 or below the young normal mean for men. Since the relationship between BMD and fracture risk may differ between men and women, it is recommended that T scores in men continue to be derived using a male normative database. Similarly, for non-Caucasians, the recommendation is to diagnose osteoporosis at or below a T-score of -2.5. However, given the difficulty in defining race or ethnic groups, a dearth of data, and their conflicting nature correlating BMD with fracture risk in different ethnicities, it is recommended that a uniform normative database (not adjusted for race) be utilized in the United States for T-score derivation in non-Caucasians. Note that these are current clinical recommendations, which may change as additional data accumulate. Furthermore, there was agreement that the following individuals should have their bone density measured: anyone (male or female, regardless of race) with prior fragility fractures or with conditions widely recognized to increase the risk of bone loss and fracture (such as hypogonadism, corticosteroid treatment, hyperparathyroidism, alcohol abuse, anticonvulsant use, and prior gastrectomy); women on long-term hormone replacement therapy; and in the absence of these conditions, women age 65 and older (regardless of race) and men age 70 and older.

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Year:  2002        PMID: 12464708     DOI: 10.1385/jcd:5:3s:s19

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


  32 in total

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Authors:  Ji Won Yoo; Shunichi Nakagawa; Sulgi Kim
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2.  Racial disparity in treatment of osteoporosis after diagnosis.

Authors:  I Hamrick; L M Whetstone; D M Cummings
Journal:  Osteoporos Int       Date:  2006-07-27       Impact factor: 4.507

3.  Quantitative ultrasound and dual-energy X-ray absorptiometry in the prediction of fragility fracture in men.

Authors:  Stefano Gonnelli; Chiara Cepollaro; Luigi Gennari; Andrea Montagnani; Carla Caffarelli; Daniela Merlotti; Stefania Rossi; Alice Cadirni; Ranuccio Nuti
Journal:  Osteoporos Int       Date:  2004-12-14       Impact factor: 4.507

Review 4.  Osteoporosis diagnosis in men: the T-score controversy revisited.

Authors:  Neil Binkley; Robert Adler; John P Bilezikian
Journal:  Curr Osteoporos Rep       Date:  2014-12       Impact factor: 5.096

5.  Choice of lumbar spine bone density reference database for fracture prediction in men and women: a population-based analysis.

Authors:  William D Leslie; Lisa Langsetmo; Wei Zhou; David Goltzman; Christopher S Kovacs; Jerilynn Prior; Robert Josse; Wojciech P Olszynski; K Shawn Davison; Tassos Anastassiades; Tanveer Towheed; David A Hanley; Stephanie M Kaiser; Brian Lentle; Nancy Kreiger
Journal:  J Clin Densitom       Date:  2014-03-07       Impact factor: 2.617

Review 6.  Fundamentals and pitfalls of bone densitometry using dual-energy X-ray absorptiometry (DXA).

Authors:  Nelson B Watts
Journal:  Osteoporos Int       Date:  2004-08-21       Impact factor: 4.507

7.  Prevalence of osteoporosis in men and determinants of changes in bone mass in a non-selected Spanish population.

Authors:  M Naves; J B Díaz-López; C Gómez; A Rodríguez-Rebollar; M Serrano-Arias; J B Cannata-Andía
Journal:  Osteoporos Int       Date:  2004-09-21       Impact factor: 4.507

8.  A referent bone mineral density database for Chinese American women.

Authors:  M Donovan Walker; R Babbar; A R Opotowsky; A Rohira; F Nabizadeh; M Della Badia; W Chung; J Chiang; A Mediratta; D McMahon; G Liu; J P Bilezikian
Journal:  Osteoporos Int       Date:  2006-03-15       Impact factor: 4.507

Review 9.  Risk assessment and screening for low bone mineral density in a multi-ethnic population of women and men: does one approach fit all?

Authors:  Danielle L Broussard; Jeanette H Magnus
Journal:  Osteoporos Int       Date:  2003-12-16       Impact factor: 4.507

10.  Muscle-Bone Interactions Across age in Men.

Authors:  Ian J Palmer; Eric D Runnels; Michael G Bemben; Debra A Bemben
Journal:  J Sports Sci Med       Date:  2006-03-01       Impact factor: 2.988

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