Literature DB >> 21365460

High fracture probability with FRAX usually indicates densitometric osteoporosis: implications for clinical practice.

W D Leslie1, S R Majumdar, L M Lix, H Johansson, A Oden, E McCloskey, J A Kanis.   

Abstract

UNLABELLED: Most patients designated as high risk of fracture using fracture risk assessment tool (FRAX) with femoral neck bone mineral density (BMD) (i.e., 10-year major osteoporotic fracture probability exceeding 20% or hip fracture exceeding 3%) have one or more T-scores in the osteoporotic range; conversely, almost no high risk patients have normal T-scores at all bone mineral density measurement sites.
INTRODUCTION: We determined the agreement between a FRAX designation of high risk of fracture [defined as 10-year major osteoporotic fracture probability (≥ 20%) or hip fracture probability (≥ 3%)] and the WHO categorizations of bone mineral density according to T-score.
METHODS: Ten-year FRAX probabilities calculated with femoral neck BMD were derived using both Canadian and US white tools for a large clinical cohort of 36,730 women and 2,873 men age 50 years and older from Manitoba, Canada. Individuals were classified according to FRAX fracture probability and BMD T-scores alone.
RESULTS: Most individuals designated by FRAX as high risk of major osteoporotic fracture had a T-score in the osteoporotic range at one or more BMD measurement sites (85% with Canadian tool and 83% with US white tool). The majority of individuals deemed at high risk of hip fracture had one or more T-scores in the osteoporotic range (66% with Canadian tool and 64% with US white tool). Conversely, there were extremely few individuals (<1%) who were at high risk of major osteoporotic or hip fracture with normal T-scores at all BMD measurement sites.
CONCLUSIONS: A FRAX designation of high risk of fracture is usually associated with a densitometric diagnosis of osteoporosis.

Entities:  

Mesh:

Year:  2011        PMID: 21365460     DOI: 10.1007/s00198-011-1592-3

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


  30 in total

1.  Revisiting the Manitoba Centre for Health Policy and Evaluation and its population-based health information system.

Authors:  N P Roos; E Shapiro
Journal:  Med Care       Date:  1999-06       Impact factor: 2.983

2.  2010 clinical practice guidelines for the diagnosis and management of osteoporosis in Canada: summary.

Authors:  Alexandra Papaioannou; Suzanne Morin; Angela M Cheung; Stephanie Atkinson; Jacques P Brown; Sidney Feldman; David A Hanley; Anthony Hodsman; Sophie A Jamal; Stephanie M Kaiser; Brent Kvern; Kerry Siminoski; William D Leslie
Journal:  CMAJ       Date:  2010-10-12       Impact factor: 8.262

3.  Recalculation of the NHANES database SD improves T-score agreement and reduces osteoporosis prevalence.

Authors:  Neil Binkley; Gary M Kiebzak; E Michael Lewiecki; Diane Krueger; Ronald E Gangnon; Paul D Miller; John A Shepherd; Marc K Drezner
Journal:  J Bone Miner Res       Date:  2004-11-16       Impact factor: 6.741

Review 4.  FRAX and its applications to clinical practice.

Authors:  John A Kanis; Anders Oden; Helena Johansson; Fredrik Borgström; Oskar Ström; Eugene McCloskey
Journal:  Bone       Date:  2009-02-03       Impact factor: 4.398

5.  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

6.  FRAX assessment of osteoporotic fracture probability in Switzerland.

Authors:  K Lippuner; H Johansson; J A Kanis; R Rizzoli
Journal:  Osteoporos Int       Date:  2009-06-11       Impact factor: 4.507

7.  The importance of spectrum bias on bone density monitoring in clinical practice.

Authors:  William D Leslie
Journal:  Bone       Date:  2006-03-13       Impact factor: 4.398

8.  FRAX and the assessment of fracture probability in men and women from the UK.

Authors:  J A Kanis; O Johnell; A Oden; H Johansson; E McCloskey
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

9.  Fracture prediction from bone mineral density in Japanese men and women.

Authors:  Saeko Fujiwara; Fumiyoshi Kasagi; Naomi Masunari; Kumiko Naito; Gen Suzuki; Masao Fukunaga
Journal:  J Bone Miner Res       Date:  2003-08       Impact factor: 6.741

10.  Low bone mineral density and fracture burden in postmenopausal women.

Authors:  Ann Cranney; Sophie A Jamal; James F Tsang; Robert G Josse; William D Leslie
Journal:  CMAJ       Date:  2007-09-11       Impact factor: 8.262

View more
  34 in total

1.  Is lower income associated with an increased likelihood of qualification for treatment for osteoporosis in Canadian women?

Authors:  S L Brennan; W D Leslie; L M Lix
Journal:  Osteoporos Int       Date:  2013-08-02       Impact factor: 4.507

Review 2.  How to predict the risk of fracture in HIV?

Authors:  Michael T Yin; Julian Falutz
Journal:  Curr Opin HIV AIDS       Date:  2016-05       Impact factor: 4.283

3.  Frax prediction without BMD for assessment of osteoporotic fracture risk.

Authors:  Ramesh Keerthi Gadam; Karen Schlauch; Kenneth E Izuora
Journal:  Endocr Pract       Date:  2013 Sep-Oct       Impact factor: 3.443

4.  Use of FRAX® to target BMD in women <65 years of age.

Authors:  Eugene McCloskey
Journal:  Nat Rev Endocrinol       Date:  2011-05-31       Impact factor: 43.330

5.  FRAX-based intervention and assessment thresholds in seven Latin American countries.

Authors:  P Clark; E Denova-Gutiérrez; C Zerbini; A Sanchez; O Messina; J J Jaller; C Campusano; C H Orces; G Riera; H Johansson; J A Kanis
Journal:  Osteoporos Int       Date:  2017-12-23       Impact factor: 4.507

Review 6.  A framework for the development of guidelines for the management of glucocorticoid-induced osteoporosis.

Authors:  S Lekamwasam; J D Adachi; D Agnusdei; J Bilezikian; S Boonen; F Borgström; C Cooper; A Diez Perez; R Eastell; L C Hofbauer; J A Kanis; B L Langdahl; O Lesnyak; R Lorenc; E McCloskey; O D Messina; N Napoli; B Obermayer-Pietsch; S H Ralston; P N Sambrook; S Silverman; M Sosa; J Stepan; G Suppan; D A Wahl; J E Compston
Journal:  Osteoporos Int       Date:  2012-03-21       Impact factor: 4.507

7.  Fracture risk assessment in postmenopausal women referred to an Italian center for osteoporosis: a single day experience in Messina.

Authors:  Antonino Catalano; Nancy Morabito; Giorgio Basile; Sergio Fusco; Graziella Castagna; Francesca Reitano; Raffaella Ciano Albanese; Antonino Lasco
Journal:  Clin Cases Miner Bone Metab       Date:  2013-09

8.  FRAX-based intervention and assessment thresholds for osteoporosis in Iran.

Authors:  P Khashayar; A Keshtkar; A Ostovar; B Larijani; H Johansson; N C Harvey; M Lorentzon; E McCloskey; J A Kanis
Journal:  Osteoporos Int       Date:  2019-08-01       Impact factor: 4.507

Review 9.  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

10.  FRAX provides robust fracture prediction regardless of socioeconomic status.

Authors:  S L Brennan; W D Leslie; L M Lix; H Johansson; A Oden; E McCloskey; J A Kanis
Journal:  Osteoporos Int       Date:  2013-11-05       Impact factor: 4.507

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.