Literature DB >> 15309384

Bone mineral density-independent association of quantitative ultrasound measurements and fracture risk in women.

Tuan V Nguyen1, Jacqueline R Center, John A Eisman.   

Abstract

Osteoporotic fracture is considered to result from reduced bone strength and to be related to decreased bone mass and impaired bone architecture. Quantitative ultrasound measurements (QUS) of bone, that may reflect certain architectural aspects of bone, have been shown to be associated with fracture, but it is not clear whether the association is independent of bone mineral density (BMD). This study was designed to examine the contributions of cortical QUS and BMD measurements to the prediction of fracture risk in postmenopausal Caucasian women. Speed of sound (SOS) at the distal radius, tibia, and phalanx (Sunlight Omnisense) and BMD at the lumbar spine and femoral neck (GE Lunar) were measured in 549 women, aged 63.2 +/- 12.3 years (mean +/- SD; range, 49-88 years), including 77 fracture cases. Lower SOS at the distal radius, tibia, and phalanx, which were correlated with each other, were associated with increased risk of fracture. Independent predictors of fracture risk (in multivariate analysis) were distal radius SOS (OR per SD = 1.8; 95% CI, 1.3-2.4), femoral neck BMD (OR per SD = 1.9; 95% CI, 1.4-2.4), and age (OR per 5 years = 1.2; 95% CI, 1.0-1.5). Approximately 30% of the women had distal radius SOS T-scores <-2.5; however, only 6.6% of women had both BMD and SOS T-scores <-2.5. Among the 77 fracture cases, only 14 (18.2%) had both BMD and QUS T-scores below -2.5. These data in postmenopausal women suggest that speed of sound at the distal radius was associated with fracture risk, independent of BMD and age. The combination of QUS and BMD measurements may improve the accuracy of identification of women who will sustain a fracture.

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Year:  2004        PMID: 15309384     DOI: 10.1007/s00198-004-1717-z

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  20 in total

1.  Osteoporosis in elderly men and women: effects of dietary calcium, physical activity, and body mass index.

Authors:  T V Nguyen; J R Center; J A Eisman
Journal:  J Bone Miner Res       Date:  2000-02       Impact factor: 6.741

Review 2.  The epidemiology of quantitative ultrasound: a review of the relationships with bone mass, osteoporosis and fracture risk.

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Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

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Journal:  Osteoporos Int       Date:  1999       Impact factor: 4.507

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Journal:  J Bone Miner Res       Date:  1999-04       Impact factor: 6.741

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Authors:  John A Kanis
Journal:  Lancet       Date:  2002-06-01       Impact factor: 79.321

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8.  Osteoporosis: association of recent fractures with quantitative US findings.

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Journal:  Radiology       Date:  1996-06       Impact factor: 11.105

9.  Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures.

Authors:  D Marshall; O Johnell; H Wedel
Journal:  BMJ       Date:  1996-05-18

10.  Predicting vertebral deformity using bone densitometry at various skeletal sites and calcaneus ultrasound.

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Journal:  Bone       Date:  1995-03       Impact factor: 4.398

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  14 in total

1.  Low-frequency axial ultrasound velocity correlates with bone mineral density and cortical thickness in the radius and tibia in pre- and postmenopausal women.

Authors:  V Kilappa; P Moilanen; L Xu; P H F Nicholson; J Timonen; S Cheng
Journal:  Osteoporos Int       Date:  2010-06-25       Impact factor: 4.507

2.  A nomogram for predicting osteoporosis risk based on age, weight and quantitative ultrasound measurement.

Authors:  C Pongchaiyakul; S Panichkul; T Songpatanasilp; T V Nguyen
Journal:  Osteoporos Int       Date:  2007-01-10       Impact factor: 4.507

3.  Relative importance of body composition, osteoporosis-related behaviors, and parental income on bone speed of sound in adolescent females.

Authors:  B L Holmes; I A Ludwa; K L Gammage; D E Mack; P Klentrou
Journal:  Osteoporos Int       Date:  2010-01-22       Impact factor: 4.507

4.  Discrimination of fractures by low-frequency axial transmission ultrasound in postmenopausal females.

Authors:  P Moilanen; M Määttä; V Kilappa; L Xu; P H F Nicholson; M Alén; J Timonen; T Jämsä; S Cheng
Journal:  Osteoporos Int       Date:  2012-05-26       Impact factor: 4.507

5.  Skeletal measurements by quantitative ultrasound in adolescents and young women with anorexia nervosa.

Authors:  Amy D DiVasta; Julie Ringelheim; Stephanie K Bristol; Henry A Feldman; Catherine M Gordon
Journal:  J Pediatr       Date:  2007-03       Impact factor: 4.406

6.  Prediction of absolute risk of non-spinal fractures using clinical risk factors and heel quantitative ultrasound.

Authors:  A Díez-Pérez; J González-Macías; F Marín; M Abizanda; R Alvarez; A Gimeno; E Pegenaute; J Vila
Journal:  Osteoporos Int       Date:  2007-01-18       Impact factor: 4.507

7.  Quantitative Ultrasound (QUS) in the Management of Osteoporosis and Assessment of Fracture Risk: An Update.

Authors:  Didier Hans; Antoine Métrailler; Elena Gonzalez Rodriguez; Olivier Lamy; Enisa Shevroja
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

8.  Measurement of human trabecular bone by novel ultrasonic bone densitometry based on fast and slow waves.

Authors:  T Yamamoto; T Otani; H Hagino; H Katagiri; T Okano; I Mano; R Teshima
Journal:  Osteoporos Int       Date:  2008-11-07       Impact factor: 4.507

9.  Multisite quantitative ultrasound for the prediction of fractures over 5 years of follow-up: the Canadian Multicentre Osteoporosis Study.

Authors:  Wojciech P Olszynski; Jacques P Brown; Jonathan D Adachi; David A Hanley; George Ioannidis; Kenneth S Davison
Journal:  J Bone Miner Res       Date:  2013-09       Impact factor: 6.741

10.  Epidemiological survey of quantitative ultrasound in risk assessment of falls in middle-aged and elderly people.

Authors:  Ling-Chun Ou; Zih-Jie Sun; Yin-Fan Chang; Chin-Sung Chang; Ting-Hsing Chao; Po-Hsiu Kuo; Ruey-Mo Lin; Chih-Hsing Wu
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

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