Literature DB >> 21810525

Official Positions for FRAX® clinical regarding falls and frailty: can falls and frailty be used in FRAX®? From Joint Official Positions Development Conference of the International Society for Clinical Densitometry and International Osteoporosis Foundation on FRAX®.

Tahir Masud1, Neil Binkley, Steven Boonen, Marian T Hannan.   

Abstract

Risk factors for fracture can be purely skeletal, e.g., bone mass, microarchitecture or geometry, or a combination of bone and falls risk related factors such as age and functional status. The remit of this Task Force was to review the evidence and consider if falls should be incorporated into the FRAX® model or, alternatively, to provide guidance to assist clinicians in clinical decision-making for patients with a falls history. It is clear that falls are a risk factor for fracture. Fracture probability may be underestimated by FRAX® in individuals with a history of frequent falls. The substantial evidence that various interventions are effective in reducing falls risk was reviewed. Targeting falls risk reduction strategies towards frail older people at high risk for indoor falls is appropriate. This Task Force believes that further fracture reduction requires measures to reduce falls risk in addition to bone directed therapy. Clinicians should recognize that patients with frequent falls are at higher fracture risk than currently estimated by FRAX® and include this in decision-making. However, quantitative adjustment of the FRAX® estimated risk based on falls history is not currently possible. In the long term, incorporation of falls as a risk factor in the FRAX® model would be ideal.
Copyright © 2011 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21810525     DOI: 10.1016/j.jocd.2011.05.010

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.617


  41 in total

1.  Dysmobility Syndrome Independently Increases Fracture Risk in the Osteoporotic Fractures in Men (MrOS) Prospective Cohort Study.

Authors:  Bjoern Buehring; Karen E Hansen; Brian L Lewis; Steven R Cummings; Nancy E Lane; Neil Binkley; Kristine E Ensrud; Peggy M Cawthon
Journal:  J Bone Miner Res       Date:  2018-06-21       Impact factor: 6.741

2.  The Predictive Value of Sarcopenia and Falls for 2-Year Major Osteoporotic Fractures in Community-Dwelling Older Adults.

Authors:  Yi Su; Freddy M H Lam; Jason Leung; Wing-Hoi Cheung; Suzanne C Ho; Timothy Kwok
Journal:  Calcif Tissue Int       Date:  2020-05-30       Impact factor: 4.333

Review 3.  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

4.  Validation of FRAX and the impact of self-reported falls among elderly in a general population: the HUNT study, Norway.

Authors:  M Hoff; H E Meyer; S Skurtveit; A Langhammer; A J Søgaard; U Syversen; A Dhainaut; E Skovlund; B Abrahamsen; B Schei
Journal:  Osteoporos Int       Date:  2017-07-01       Impact factor: 4.507

Review 5.  Hyponatremia and fractures: should hyponatremia be further studied as a potential biochemical risk factor to be included in FRAX algorithms?

Authors:  J C Ayus; T Bellido; A L Negri
Journal:  Osteoporos Int       Date:  2017-01-10       Impact factor: 4.507

Review 6.  From fracture risk prediction to evaluating fracture patterns: recent advances in the epidemiology of osteoporosis.

Authors:  Nicole C Wright; Kenneth G Saag
Journal:  Curr Rheumatol Rep       Date:  2012-06       Impact factor: 4.592

7.  European guidance for the diagnosis and management of osteoporosis in postmenopausal women.

Authors:  J A Kanis; C Cooper; R Rizzoli; J-Y Reginster
Journal:  Osteoporos Int       Date:  2018-10-15       Impact factor: 4.507

8.  Comparison between frailty index of deficit accumulation and fracture risk assessment tool (FRAX) in prediction of risk of fractures.

Authors:  Guowei Li; Lehana Thabane; Alexandra Papaioannou; Jonathan D Adachi
Journal:  Bone       Date:  2015-04-25       Impact factor: 4.398

9.  Fracture prediction from self-reported falls in routine clinical practice: a registry-based cohort study.

Authors:  W D Leslie; S N Morin; L M Lix; P Martineau; M Bryanton; E V McCloskey; H Johansson; N C Harvey; J A Kanis
Journal:  Osteoporos Int       Date:  2019-08-02       Impact factor: 4.507

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.