Literature DB >> 26792635

Predicting fracture risk in osteoporosis: the use of fracture prediction tools in an osteoporosis clinic population.

Darren Aw1, Jennifer Thain1, Aamer Ali1, Thanda Aung2, Wei Mei Chua3, Opinder Sahota1, Namal Weerasuriya1, Lindsey Marshall1, Fiona Kearney1, Tahir Masud1.   

Abstract

BACKGROUND: In the UK, the National Institute for Health and Care Excellence recommends either fracture risk assessment tool (FRAX) or QFracture to estimate the 10 year fracture risk of individuals. However, it is not known how these tools compare in determining risk and subsequent treatment using set intervention thresholds or guidelines.
METHODS: The 10 year major osteoporotic (MO) and hip (HI) fracture risks were calculated for 100 women attending osteoporosis clinic in 2010 using FRAX and QFracture, and subsequent agreement to treatment between the tools was looked at using National Osteoporosis Foundation and National Bone Health Alliance thresholds (FRAX-20/3 and QFracture 20/3). We also looked at using these thresholds for QFracture and comparing them with the National Osteoporosis Guideline Group (NOGG) guidelines for FRAX (FRAX-NOGG).
RESULTS: The 10 year risk for MO fracture for FRAX was 17.0% (IQR 10.8-24.0) and that of QFracture was 15.8% (IQR 9.5-27.7) (p=0.732). The 10 year risk for HI fracture for FRAX was 5.0% (IQR 2.1-8.9) and that of QFracture was 8.1% (IQR 2.5-21.6) (p<0.001). The agreement between FRAX-20/3 and QFracture-20/3 was greater than the agreement between FRAX-20/3 and FRAX-NOGG or QFracture-20/3 and FRAX-NOGG.
CONCLUSIONS: The calculated 10 year risk for MO fracture between FRAX and QFracture was similar, whereas that of HI fracture was significantly different. The agreement to treatment between QFracture-20/3 and FRAX-NOGG was only 45%. Treatment decisions can differ depending on the fracture calculation tool used when coupled with certain intervention thresholds or guidelines. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  GERIATRIC MEDICINE; ORTHOPAEDIC & TRAUMA SURGERY

Mesh:

Year:  2016        PMID: 26792635     DOI: 10.1136/postgradmedj-2015-133454

Source DB:  PubMed          Journal:  Postgrad Med J        ISSN: 0032-5473            Impact factor:   2.401


  7 in total

1.  Recommended care received by geriatric hip fracture patients: where are we now and where are we heading?

Authors:  Deborah Seys; An Sermon; Walter Sermeus; Massimiliano Panella; Luk Bruyneel; Paulo Boto; Kris Vanhaecht
Journal:  Arch Orthop Trauma Surg       Date:  2018-04-27       Impact factor: 3.067

2.  Dual roles of QOA-8a in antiosteoporosis: a combination of bone anabolic and anti-resorptive effects.

Authors:  Jing Wu; Qi Shen; Wei Cui; Yu Zhao; Yue Huai; Yu-Chao Zhang; Bei-Hua Bao; Chen-Xi Liu; Qing Jiang; Jian-Xin Li
Journal:  Acta Pharmacol Sin       Date:  2017-08-17       Impact factor: 6.150

3.  GYY4137 stimulates osteoblastic cell proliferation and differentiation via an ERK1/2-dependent anti-oxidant mechanism.

Authors:  Meng Lv; Yang Liu; Ting-Hui Xiao; Wei Jiang; Bo-Wen Lin; Xiao-Ming Zhang; Yi-Miao Lin; Zhong-Shi Xu
Journal:  Am J Transl Res       Date:  2017-03-15       Impact factor: 4.060

4.  Comparison of fracture risk calculators in elderly fallers: a hospital-based cross-sectional study.

Authors:  Georgi Todorov; Susan Brook; Nicole Quah Qin Xian; Sophia Von Widekind; Bernard Freudenthal; Alexander N Comninos
Journal:  BMJ Open       Date:  2022-07-12       Impact factor: 3.006

5.  Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study.

Authors:  Peng Wang; Qing Xu; Rong-Rong Cao; Fei-Yan Deng; Shu-Feng Lei
Journal:  J Med Internet Res       Date:  2021-07-05       Impact factor: 7.076

Review 6.  Measuring the musculoskeletal aging phenotype.

Authors:  Alice Dawson; Elaine Dennison
Journal:  Maturitas       Date:  2016-04-23       Impact factor: 4.342

7.  Evaluation of two tools for the early screening of osteoporosis in postmenopausal Chinese women with type 2 diabetes mellitus.

Authors:  Jie-Long Tang; Bing-Bing Pan; Yi Shu; Yan-Fa Gu; Shuai Liu
Journal:  J Int Med Res       Date:  2020-03       Impact factor: 1.671

  7 in total

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