Literature DB >> 18348697

Proximal femoral structure and the prediction of hip fracture in men: a large prospective study using QCT.

Dennis M Black1, Mary L Bouxsein, Lynn M Marshall, Steven R Cummings, Thomas F Lang, Jane A Cauley, Kristine E Ensrud, Carrie M Nielson, Eric S Orwoll.   

Abstract

The structure of the femoral neck contributes to hip strength, but the relationship of specific structural features of the hip to hip fracture risk is unclear. The objective of this study is to determine the contribution of structural features and volumetric density of both trabecular and cortical bone in the proximal femur to the prediction of hip fracture in older men. Baseline QCT scans of the hip were obtained in 3347 men >or=65 yr of age enrolled in the Osteoporotic Fractures in Men Study (MrOS). All men were followed prospectively for an average of 5.5 yr. Areal BMD (aBMD) by DXA was also assessed. We determined the associations between QCT-derived measures of femoral neck structure, volumetric bone density, and hip fracture risk. Forty-two men sustained incident hip fractures during follow-up: an overall rate of 2.3/1000 person-years. Multivariable analyses showed that, among the QCT-derived measures, lower percent cortical volume (hazard ratio [HR] per SD decrease: 3.2; 95% CI: 2.2-4.6), smaller minimal cross-sectional area (HR: 1.6; 95% CI: 1.2-2.1), and lower trabecular BMD (HR: 1.7; 95% CI: 1.2-2.4) were independently related to increased hip fracture risk. Femoral neck areal BMD was also strongly related to hip fracture risk (HR: 4.1; 95% CI: 2.7-6.4). In multivariable models, percent cortical volume and minimum cross-sectional area remained significant predictors of hip fracture risk after adjustment for areal BMD, but overall prediction was not improved by adding QCT parameters to DXA. Specific structural features of the proximal femur were related to an increased risk of hip fracture. Whereas overall hip fracture prediction was not improved relative to aBMD, by adding QCT parameters, these results yield useful information concerning the causation of hip fracture, the evaluation of hip fracture risk, and potential targets for therapeutic intervention.

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Year:  2008        PMID: 18348697      PMCID: PMC2680175          DOI: 10.1359/jbmr.080316

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  40 in total

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2.  Automated registration of hip and spine for longitudinal QCT studies: integration with 3D densitometric and structural analysis.

Authors:  Wenjun Li; Miki Sode; Isra Saeed; Thomas Lang
Journal:  Bone       Date:  2005-09-30       Impact factor: 4.398

3.  Structural analysis of trabecular bone of the proximal femur using multislice computed tomography: a comparison with dual X-ray absorptiometry for predicting biomechanical strength in vitro.

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Journal:  Calcif Tissue Int       Date:  2006-02-06       Impact factor: 4.333

4.  Structure of the femoral neck in hip fracture: cortical bone loss in the inferoanterior to superoposterior axis.

Authors:  K L Bell; N Loveridge; J Power; N Garrahan; M Stanton; M Lunt; B F Meggitt; J Reeve
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5.  Design and baseline characteristics of the osteoporotic fractures in men (MrOS) study--a large observational study of the determinants of fracture in older men.

Authors:  Eric Orwoll; Janet Babich Blank; Elizabeth Barrett-Connor; Jane Cauley; Steven Cummings; Kristine Ensrud; Cora Lewis; Peggy M Cawthon; Robert Marcus; Lynn M Marshall; Joan McGowan; Kathy Phipps; Sherry Sherman; Marcia L Stefanick; Katie Stone
Journal:  Contemp Clin Trials       Date:  2005-10       Impact factor: 2.226

6.  Overview of recruitment for the osteoporotic fractures in men study (MrOS).

Authors:  Janet Babich Blank; Peggy Mannen Cawthon; Mary Lou Carrion-Petersen; Loretta Harper; J Phillip Johnson; Eileen Mitson; Romelia Ramírez Delay
Journal:  Contemp Clin Trials       Date:  2005-10       Impact factor: 2.226

7.  Relation between age, femoral neck cortical stability, and hip fracture risk.

Authors:  Paul M Mayhew; C David Thomas; John G Clement; Nigel Loveridge; Thomas J Beck; William Bonfield; Chris J Burgoyne; Jonathan Reeve
Journal:  Lancet       Date:  2005 Jul 9-15       Impact factor: 79.321

8.  Contribution of hip strength indices to hip fracture risk in elderly men and women.

Authors:  Henrik G Ahlborg; Nguyen D Nguyen; Tuan V Nguyen; Jacqueline R Center; John A Eisman
Journal:  J Bone Miner Res       Date:  2005-05-31       Impact factor: 6.741

9.  Structural determinants of hip fracture in elderly women: re-analysis of the data from the EPIDOS study.

Authors:  P Szulc; F Duboeuf; A M Schott; P Dargent-Molina; P J Meunier; P D Delmas
Journal:  Osteoporos Int       Date:  2005-06-28       Impact factor: 4.507

10.  Femoral neck BMD is a strong predictor of hip fracture susceptibility in elderly men and women because it detects cortical bone instability: the Rotterdam Study.

Authors:  Fernando Rivadeneira; M Carola Zillikens; Chris Edh De Laet; Albert Hofman; André G Uitterlinden; Thomas J Beck; Huibert Ap Pols
Journal:  J Bone Miner Res       Date:  2007-11       Impact factor: 6.741

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  70 in total

Review 1.  Functional interactions among morphologic and tissue quality traits define bone quality.

Authors:  Karl J Jepsen
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

2.  Comparison of femoral morphology and bone mineral density between femoral neck fractures and trochanteric fractures.

Authors:  Yuki Maeda; Nobuhiko Sugano; Masanobu Saito; Kazuo Yonenobu
Journal:  Clin Orthop Relat Res       Date:  2010-08-20       Impact factor: 4.176

3.  Correlates of trabecular and cortical volumetric BMD in men of African ancestry.

Authors:  Yahtyng Sheu; Jane A Cauley; Clareann H Bunker; Victor W Wheeler; Alan L Patrick; Christopher L Gordon; Candace M Kammerer; Joseph M Zmuda
Journal:  J Bone Miner Res       Date:  2009-12       Impact factor: 6.741

4.  Serum IGF-1 determines skeletal strength by regulating subperiosteal expansion and trait interactions.

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Journal:  J Bone Miner Res       Date:  2009-08       Impact factor: 6.741

Review 5.  Advanced CT based in vivo methods for the assessment of bone density, structure, and strength.

Authors:  K Engelke; C Libanati; T Fuerst; P Zysset; H K Genant
Journal:  Curr Osteoporos Rep       Date:  2013-09       Impact factor: 5.096

6.  Associations Between Lean Mass, Muscle Strength and Power, and Skeletal Size, Density and Strength in Older Men.

Authors:  Didier Chalhoub; Robert Boudreau; Susan Greenspan; Anne B Newman; Joseph Zmuda; Andrew W Frank-Wilson; Nayana Nagaraj; Andrew R Hoffman; Nancy E Lane; Marcia L Stefanick; Elizabeth Barrett-Connor; Tien Dam; Peggy M Cawthon; Eric S Orwoll; Jane A Cauley
Journal:  J Bone Miner Res       Date:  2018-06-12       Impact factor: 6.741

7.  Opportunistic CT screening predicts individuals at risk of major osteoporotic fracture.

Authors:  A S Michalski; B A Besler; L A Burt; S K Boyd
Journal:  Osteoporos Int       Date:  2021-02-10       Impact factor: 4.507

8.  The Association Between BMI and QCT-Derived Proximal Hip Structure and Strength in Older Men: A Cross-Sectional Study.

Authors:  Jian Shen; Carrie M Nielson; Lynn M Marshall; David C Lee; Tony M Keaveny; Eric S Orwoll
Journal:  J Bone Miner Res       Date:  2015-07       Impact factor: 6.741

9.  Racial differences in cortical bone and their relationship to biochemical variables in Black and White children in the early stages of puberty.

Authors:  S J Warden; K M Hill; A J Ferira; E M Laing; B R Martin; D B Hausman; C M Weaver; M Peacock; R D Lewis
Journal:  Osteoporos Int       Date:  2012-10-24       Impact factor: 4.507

10.  Predictive ability of novel volumetric and geometric indices derived from dual-energy X-ray absorptiometric images of the proximal femur for hip fracture compared with conventional areal bone mineral density: the Japanese Population-based Osteoporosis (JPOS) Cohort Study.

Authors:  M Iki; R Winzenrieth; J Tamaki; Y Sato; N Dongmei; E Kajita; K Kouda; A Yura; T Tachiki; K Kamiya; S Kagamimori
Journal:  Osteoporos Int       Date:  2021-05-26       Impact factor: 4.507

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