Literature DB >> 22550021

Differing risk profiles for individual fracture sites: evidence from the Global Longitudinal Study of Osteoporosis in Women (GLOW).

Gordon FitzGerald1, Steven Boonen, Juliet E Compston, Johannes Pfeilschifter, Andrea Z LaCroix, David W Hosmer, Frederick H Hooven, Stephen H Gehlbach.   

Abstract

The purposes of this study were to examine fracture risk profiles at specific bone sites, and to understand why model discrimination using clinical risk factors is generally better in hip fracture models than in models that combine hip with other bones. Using 3-year data from the GLOW study (54,229 women with more than 4400 total fractures), we present Cox regression model results for 10 individual fracture sites, for both any and first-time fracture, among women aged ≥55 years. Advanced age is the strongest risk factor in hip (hazard ratio [HR] = 2.3 per 10-year increase), pelvis (HR = 1.8), upper leg (HR = 1.8), and clavicle (HR = 1.7) models. Age has a weaker association with wrist (HR = 1.1), rib (HR = 1.2), lower leg (not statistically significant), and ankle (HR = 0.81) fractures. Greater weight is associated with reduced risk for hip, pelvis, spine, and wrist, but higher risk for first lower leg and ankle fractures. Prior fracture of the same bone, although significant in nine of 10 models, is most strongly associated with spine (HR = 6.6) and rib (HR = 4.8) fractures. Past falls are important in all but spine models. Model c indices are ≥0.71 for hip, pelvis, upper leg, spine, clavicle, and rib, but ≤0.66 for upper arm/shoulder, lower leg, wrist, and ankle fractures. The c index for combining hip, spine, upper arm, and wrist (major fracture) is 0.67. First-time fracture models have c indices ranging from 0.59 for wrist to 0.78 for hip and pelvis. The c index for first-time major fracture is 0.63. In conclusion, substantial differences in risk profiles exist among the 10 bones considered.
Copyright © 2012 American Society for Bone and Mineral Research.

Entities:  

Mesh:

Year:  2012        PMID: 22550021     DOI: 10.1002/jbmr.1652

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


  19 in total

Review 1.  Insights from the Global Longitudinal Study of Osteoporosis in Women (GLOW).

Authors:  Nelson B Watts
Journal:  Nat Rev Endocrinol       Date:  2014-04-22       Impact factor: 43.330

2.  Predictors of excess mortality after fracture: a population-based cohort study.

Authors:  L Joseph Melton; Elizabeth J Atkinson; Jennifer L St Sauver; Sara J Achenbach; Terry M Therneau; Walter A Rocca; Shreyasee Amin
Journal:  J Bone Miner Res       Date:  2014-07       Impact factor: 6.741

3.  Non-hip and non-vertebral fractures: the neglected fracture sites.

Authors:  K L Holloway; M J Henry; S L Brennan-Olsen; G Bucki-Smith; G C Nicholson; S Korn; K M Sanders; J A Pasco; M A Kotowicz
Journal:  Osteoporos Int       Date:  2015-10-05       Impact factor: 4.507

4.  Economic impact and cost-effectiveness of fracture liaison services: a systematic review of the literature.

Authors:  C-H Wu; I-J Kao; W-C Hung; S-C Lin; H-C Liu; M-H Hsieh; S Bagga; M Achra; T-T Cheng; R-S Yang
Journal:  Osteoporos Int       Date:  2018-02-19       Impact factor: 4.507

5.  Women with severe obesity and relatively low bone mineral density have increased fracture risk.

Authors:  S Cawsey; R Padwal; A M Sharma; X Wang; S Li; K Siminoski
Journal:  Osteoporos Int       Date:  2014-08-15       Impact factor: 4.507

6.  Abdominal aortic calcification and risk of fracture among older women - The SOF study.

Authors:  Pawel Szulc; Terri Blackwell; Douglas P Kiel; John T Schousboe; Jane Cauley; Teresa Hillier; Marc Hochberg; Nicolas Rodondi; Brent C Taylor; Dennis Black; Steven Cummings; Kristine E Ensrud
Journal:  Bone       Date:  2015-06-24       Impact factor: 4.398

Review 7.  Imminent fracture risk.

Authors:  C Roux; K Briot
Journal:  Osteoporos Int       Date:  2017-02-24       Impact factor: 4.507

8.  Relationship of weight, height, and body mass index with fracture risk at different sites in postmenopausal women: the Global Longitudinal study of Osteoporosis in Women (GLOW).

Authors:  Juliet E Compston; Julie Flahive; David W Hosmer; Nelson B Watts; Ethel S Siris; Stuart Silverman; Kenneth G Saag; Christian Roux; Maurizio Rossini; Johannes Pfeilschifter; Jeri W Nieves; J Coen Netelenbos; Lyn March; Andrea Z LaCroix; Frederick H Hooven; Susan L Greenspan; Stephen H Gehlbach; Adolfo Díez-Pérez; Cyrus Cooper; Roland D Chapurlat; Steven Boonen; Frederick A Anderson; Silvano Adami; Jonathan D Adachi
Journal:  J Bone Miner Res       Date:  2014-02       Impact factor: 6.741

9.  A retrospective review of lower extremity fracture care in patients with spinal cord injury.

Authors:  Titilola Akhigbe; Amy S Chin; Jelena N Svircev; Helen Hoenig; Stephen P Burns; Frances M Weaver; Lauren Bailey; Laura Carbone
Journal:  J Spinal Cord Med       Date:  2013-11-07       Impact factor: 1.985

10.  Empirically based composite fracture prediction model from the Global Longitudinal Study of Osteoporosis in Postmenopausal Women (GLOW).

Authors:  Gordon FitzGerald; Juliet E Compston; Roland D Chapurlat; Johannes Pfeilschifter; Cyrus Cooper; David W Hosmer; Jonathan D Adachi; Frederick A Anderson; Adolfo Díez-Pérez; Susan L Greenspan; J Coen Netelenbos; Jeri W Nieves; Maurizio Rossini; Nelson B Watts; Frederick H Hooven; Andrea Z LaCroix; Lyn March; Christian Roux; Kenneth G Saag; Ethel S Siris; Stuart Silverman; Stephen H Gehlbach
Journal:  J Clin Endocrinol Metab       Date:  2014-01-01       Impact factor: 5.958

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