Literature DB >> 23892830

New horizons in fracture risk assessment.

Terry J Aspray1.   

Abstract

Fracture is the clinical outcome of concern in osteoporosis, a disease variably defined over the last 30 years, mostly in terms of bone mineral density (BMD). However, an 'osseocentric' view of the condition may have hampered our understanding of how best to identify patients at the greatest risk of fragility fracture. More recently, the identification of a number of clinical risk factors for fragility fracture and the creation of fracture risk assessment tools, such as FRAX®, QFracture and Garvan have helped in a move towards clinically useful definitions, using the common currency of 10-year major osteoporotic and 10-year hip fracture risks. However, there are a large number of available fracture risk assessment tools and there remain few validation studies comparing their performance. The National Institute for Health and Clinical Excellence has recently advocated the use of these methods in case finding and studies are underway in their clinical application. It seems likely that the operational definition of osteoporosis must now include fracture risk, which will never replace fracture incidence as a measure of clinical efficacy but may be used in future studies to define patient groups likely to benefit from intervention. We still need to understand more about the performance of these tools, particularly in the context of specific patient groups, such as those with vertebral osteoporosis, the frail, those who fall and patients with secondary osteoporosis.

Entities:  

Keywords:  FRAX; QFracture; fracture; guideline; osteoporosis

Mesh:

Year:  2013        PMID: 23892830     DOI: 10.1093/ageing/aft095

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  7 in total

1.  Bone: Which model to predict fracture risk?

Authors:  Roger Bouillon; Dirk Vanderschueren
Journal:  Nat Rev Endocrinol       Date:  2014-02-11       Impact factor: 43.330

2.  Diagnosing sacral insufficiency fractures after radiotherapy in women with cervical cancer: Report of three cases.

Authors:  Vykintas Sabaliauskas; Sigitas Tiškevičius
Journal:  Radiol Case Rep       Date:  2021-08-03

Review 3.  Fragility fracture: recent developments in risk assessment.

Authors:  Terry J Aspray
Journal:  Ther Adv Musculoskelet Dis       Date:  2015-02       Impact factor: 5.346

4.  Gender perspective on fear of falling using the classification of functioning as the model.

Authors:  Petra Pohl; Christina Ahlgren; Ellinor Nordin; Anders Lundquist; Lillemor Lundin-Olsson
Journal:  Disabil Rehabil       Date:  2014-04-30       Impact factor: 3.033

5.  Diversity in fall characteristics hampers effective prevention: the precipitants, the environment, the fall and the injury.

Authors:  K M Sanders; K Lim; A L Stuart; A Macleod; D Scott; G C Nicholson; L Busija
Journal:  Osteoporos Int       Date:  2017-07-19       Impact factor: 4.507

Review 6.  Applications of Machine Learning in Bone and Mineral Research.

Authors:  Sung Hye Kong; Chan Soo Shin
Journal:  Endocrinol Metab (Seoul)       Date:  2021-10-21

7.  Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm.

Authors:  Sung Hye Kong; Jae-Won Lee; Byeong Uk Bae; Jin Kyeong Sung; Kyu Hwan Jung; Jung Hee Kim; Chan Soo Shin
Journal:  Endocrinol Metab (Seoul)       Date:  2022-08-05
  7 in total

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