Literature DB >> 23179575

Performance of FRAX in a cohort of community-dwelling, ambulatory older men: the Osteoporotic Fractures in Men (MrOS) study.

B Ettinger1, K E Ensrud, T Blackwell, J R Curtis, J A Lapidus, E S Orwoll.   

Abstract

UNLABELLED: We evaluated performance of FRAX in older men who participated in the Osteoporotic Fractures in Men (MrOS) study.
INTRODUCTION: FRAX has been extensively studied in women, but there are few studies of its performance in men.
METHODS: FRAX estimates for 10-year hip fracture and major osteoporotic fracture (MOF; either hip, clinical spine, forearm, or shoulder) were calculated from data obtained from MrOS participants and compared to observed 10-year fracture cumulative incidence calculated using product limit estimate methods, accounting for competing mortality risk.
RESULTS: Five thousand eight hundred ninety-one men were followed for an average of 8.4 years. Without bone mineral density (BMD) in the FRAX model, the mean 10-year predicted fracture probabilities for hip and MOF were 3.5% and 8.9%, respectively; addition of BMD to the calculations reduced these estimates to 2.3% and 7.6%. Using FRAX without BMD, predicted quintile probabilities closely estimated cumulative incidence of hip fracture (range of observed to predicted ratios 0.9-1.1). However, with BMD in the FRAX calculation, observed to predicted hip fracture probabilities were not close to unity and varied markedly across quintiles of predicted probability. For MOF, FRAX without BMD overestimated observed cumulative incidence (range of observed to predicted ratios 0.7-0.9) and addition of BMD did not improve this discrepancy (range of observed to predicted ratios 0.7-1.1). Addition of BMD to the calculation had mixed effects on the discriminatory performance of FRAX, depending on the analysis tool applied.
CONCLUSION: Among this cohort of community-dwelling older men, the FRAX risk calculator without BMD was well calibrated to hip fracture but less well to MOF.

Entities:  

Mesh:

Year:  2012        PMID: 23179575      PMCID: PMC3767034          DOI: 10.1007/s00198-012-2215-3

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


  21 in total

1.  Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ralph B D'Agostino; Ramachandran S Vasan
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

2.  A revised clinician's guide to the prevention and treatment of osteoporosis.

Authors:  Bess Dawson-Hughes
Journal:  J Clin Endocrinol Metab       Date:  2008-06-10       Impact factor: 5.958

3.  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

4.  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

5.  Drug data coding and analysis in epidemiologic studies.

Authors:  M Pahor; E A Chrischilles; J M Guralnik; S L Brown; R B Wallace; P Carbonin
Journal:  Eur J Epidemiol       Date:  1994-08       Impact factor: 8.082

6.  Use and misuse of the receiver operating characteristic curve in risk prediction.

Authors:  Nancy R Cook
Journal:  Circulation       Date:  2007-02-20       Impact factor: 29.690

7.  Cost-effective osteoporosis treatment thresholds: the United States perspective.

Authors:  A N A Tosteson; L J Melton; B Dawson-Hughes; S Baim; M J Favus; S Khosla; R L Lindsay
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

8.  Updated data on proximal femur bone mineral levels of US adults.

Authors:  A C Looker; H W Wahner; W L Dunn; M S Calvo; T B Harris; S P Heyse; C C Johnston; R Lindsay
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

9.  High-trauma fractures and low bone mineral density in older women and men.

Authors:  Dawn C Mackey; Li-Yung Lui; Peggy M Cawthon; Douglas C Bauer; Michael C Nevitt; Jane A Cauley; Teresa A Hillier; Cora E Lewis; Elizabeth Barrett-Connor; Steven R Cummings
Journal:  JAMA       Date:  2007-11-28       Impact factor: 56.272

Review 10.  The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women.

Authors:  J A Kanis; A Oden; O Johnell; H Johansson; C De Laet; J Brown; P Burckhardt; C Cooper; C Christiansen; S Cummings; J A Eisman; S Fujiwara; C Glüer; D Goltzman; D Hans; M-A Krieg; A La Croix; E McCloskey; D Mellstrom; L J Melton; H Pols; J Reeve; K Sanders; A-M Schott; A Silman; D Torgerson; T van Staa; N B Watts; N Yoshimura
Journal:  Osteoporos Int       Date:  2007-02-24       Impact factor: 4.507

View more
  22 in total

1.  Evaluation of the Usefulness of Consensus Definitions of Sarcopenia in Older Men: Results from the Observational Osteoporotic Fractures in Men Cohort Study.

Authors:  Peggy M Cawthon; Terri L Blackwell; Jane Cauley; Deborah M Kado; Elizabeth Barrett-Connor; Christine G Lee; Andrew R Hoffman; Michael Nevitt; Marcia L Stefanick; Nancy E Lane; Kristine E Ensrud; Steven R Cummings; Eric S Orwoll
Journal:  J Am Geriatr Soc       Date:  2015-10-27       Impact factor: 5.562

2.  Battle of the sex steroids in the male skeleton: and the winner is....

Authors:  Thomas J Weber
Journal:  J Clin Invest       Date:  2016-02-22       Impact factor: 14.808

Review 3.  Idiopathic osteoporosis in men.

Authors:  Luigi Gennari; John P Bilezikian
Journal:  Curr Osteoporos Rep       Date:  2013-12       Impact factor: 5.096

4.  Prediction of Incident Major Osteoporotic and Hip Fractures by Trabecular Bone Score (TBS) and Prevalent Radiographic Vertebral Fracture in Older Men.

Authors:  John T Schousboe; Tien Vo; Brent C Taylor; Peggy M Cawthon; Ann V Schwartz; Douglas C Bauer; Eric S Orwoll; Nancy E Lane; Elizabeth Barrett-Connor; Kristine E Ensrud
Journal:  J Bone Miner Res       Date:  2015-10-21       Impact factor: 6.741

Review 5.  Comparison between various fracture risk assessment tools.

Authors:  W D Leslie; L M Lix
Journal:  Osteoporos Int       Date:  2014-01       Impact factor: 4.507

6.  Reduced Bone Density and Vertebral Fractures in Smokers. Men and COPD Patients at Increased Risk.

Authors:  Joshua D Jaramillo; Carla Wilson; Douglas S Stinson; Douglas J Stinson; David A Lynch; Russell P Bowler; Sharon Lutz; Jessica M Bon; Ben Arnold; Merry-Lynn N McDonald; George R Washko; Emily S Wan; Dawn L DeMeo; Marilyn G Foreman; Xavier Soler; Sarah E Lindsay; Nancy E Lane; Harry K Genant; Edwin K Silverman; John E Hokanson; Barry J Make; James D Crapo; Elizabeth A Regan
Journal:  Ann Am Thorac Soc       Date:  2015-05

Review 7.  A systematic review of intervention thresholds based on FRAX : A report prepared for the National Osteoporosis Guideline Group and the International Osteoporosis Foundation.

Authors:  John A Kanis; Nicholas C Harvey; Cyrus Cooper; Helena Johansson; Anders Odén; Eugene V McCloskey
Journal:  Arch Osteoporos       Date:  2016-07-27       Impact factor: 2.617

8.  Comparison of fracture risk assessment tools in older men without prior hip or spine fracture: the MrOS study.

Authors:  Margaret L Gourlay; Victor S Ritter; Jason P Fine; Robert A Overman; John T Schousboe; Peggy M Cawthon; Eric S Orwoll; Tuan V Nguyen; Nancy E Lane; Steven R Cummings; Deborah M Kado; Jodi A Lapidus; Susan J Diem; Kristine E Ensrud
Journal:  Arch Osteoporos       Date:  2017-10-20       Impact factor: 2.617

9.  FRAX fracture risk in women with a recent fracture of the distal forearm: agreement between assessments with and without bone mineral density and impact of measurement side in the individual patient.

Authors:  Emilie Lund Egsmose; Mette Birkvig; Thora Buhl; Ole Rintek Madsen
Journal:  Clin Rheumatol       Date:  2014-05-14       Impact factor: 2.980

10.  Fracture Prediction With Modified-FRAX in Older HIV-Infected and Uninfected Men.

Authors:  Michael T Yin; Stephanie Shiau; David Rimland; Cynthia L Gibert; Roger J Bedimo; Maria C Rodriguez-Barradas; Katherine Harwood; Josh Aschheim; Amy C Justice; Julie A Womack
Journal:  J Acquir Immune Defic Syndr       Date:  2016-08-15       Impact factor: 3.731

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.