Literature DB >> 28668994

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

M Hoff1,2, H E Meyer3,4, S Skurtveit3,5, A Langhammer6, A J Søgaard3, U Syversen7,8, A Dhainaut6,9, E Skovlund6,3, B Abrahamsen10,11, B Schei6,12.   

Abstract

Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD) for hip fracture prediction was validated in a Norwegian population 50-90 years. Fracture risk increased with higher FRAX score, and the observed number of hip fractures agreed well with the predicted number, except for the youngest and oldest men. Self-reported fall was an independent risk factor for fracture in women.
INTRODUCTION: The primary aim was to validate FRAX without BMD for hip fracture prediction in a Norwegian population of men and women 50-90 years. Secondary, to study whether information of falls could improve prediction of fractures in the subgroup aged 70-90 years.
METHODS: Data were obtained from the third survey of the Nord-Trøndelag Health Study (HUNT3), the fracture registry in Nord-Trøndelag, and the Norwegian Prescription Database (NorPD), including 15,432 women and 13,585 men. FRAX hip without BMD was calculated, and hip fractures were registered for a median follow-up of 5.2 years. The number of estimated and observed fractures was assessed, ROC curves with area under the curve (AUC), and Cox regression analyses. For the group aged 70-90 years, self-reported falls the last year before HUNT3 were included in the Cox regression model.
RESULTS: The risk of fracture increased with higher FRAX score. When FRAX groups were categorized in a 10-year percentage risk for hip fracture as follows, <4, 4-7.9, 8-11.9, and ≥12%, the hazard ratio (HR) for hip fracture between the lowest and the highest group was 17.80 (95% CI: 12.86-24.65) among women and 23.40 (13.93-39.30) in men. Observed number of hip fractures agreed quite well with the predicted number, except for the youngest and oldest men. AUC was 0.81 (0.78-0.83) for women and 0.79 (0.76-0.83) for men. Self-reported fall was an independent risk factor for fracture in women (HR 1.64, 1.20-2.24), and among men, this was not significant (1.09, 0.65-1.83).
CONCLUSIONS: FRAX without BMD predicted hip fracture reasonably well. In the age group 70-90 years, falls seemed to imply an additional risk among women.

Entities:  

Keywords:  Fracture risk assessment; General population studies; HUNT; Osteoporosis

Mesh:

Year:  2017        PMID: 28668994     DOI: 10.1007/s00198-017-4134-9

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


  39 in total

1.  Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation.

Authors:  R B D'Agostino; S Grundy; L M Sullivan; P Wilson
Journal:  JAMA       Date:  2001-07-11       Impact factor: 56.272

2.  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®.

Authors:  Tahir Masud; Neil Binkley; Steven Boonen; Marian T Hannan
Journal:  J Clin Densitom       Date:  2011 Jul-Sep       Impact factor: 2.617

Review 3.  Rheumatoid arthritis.

Authors:  Josef S Smolen; Daniel Aletaha; Iain B McInnes
Journal:  Lancet       Date:  2016-05-03       Impact factor: 79.321

Review 4.  Pitfalls in the external validation of FRAX.

Authors:  J A Kanis; A Oden; H Johansson; E McCloskey
Journal:  Osteoporos Int       Date:  2011-11-26       Impact factor: 4.507

5.  Epidemiology of distal forearm fractures in Oslo, Norway.

Authors:  C M Lofthus; F Frihagen; H E Meyer; L Nordsletten; K Melhuus; J A Falch
Journal:  Osteoporos Int       Date:  2008-06       Impact factor: 4.507

6.  Factors associated with vitamin D deficiency in a Norwegian population: the HUNT Study.

Authors:  Tricia L Larose; Yue Chen; Carlos A Camargo; Arnulf Langhammer; Pål Romundstad; Xiao-Mei Mai
Journal:  J Epidemiol Community Health       Date:  2013-11-06       Impact factor: 3.710

7.  Development of prognostic nomograms for individualizing 5-year and 10-year fracture risks.

Authors:  N D Nguyen; S A Frost; J R Center; J A Eisman; T V Nguyen
Journal:  Osteoporos Int       Date:  2008-03-07       Impact factor: 4.507

Review 8.  A systematic review of hip fracture incidence and probability of fracture worldwide.

Authors:  J A Kanis; A Odén; E V McCloskey; H Johansson; D A Wahl; C Cooper
Journal:  Osteoporos Int       Date:  2012-03-15       Impact factor: 4.507

9.  A simple clinical score for estimating the long-term risk of fracture in post-menopausal women.

Authors:  T P van Staa; P Geusens; J A Kanis; H G M Leufkens; S Gehlbach; C Cooper
Journal:  QJM       Date:  2006-09-23

10.  A combination of clinical balance measures and FRAX® to improve identification of high-risk fallers.

Authors:  David A Najafi; Leif E Dahlberg; Eva Ekvall Hansson
Journal:  BMC Geriatr       Date:  2016-05-03       Impact factor: 3.921

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Review 1.  Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan.

Authors:  L Vandenput; H Johansson; E V McCloskey; E Liu; K E Åkesson; F A Anderson; R Azagra; C L Bager; C Beaudart; H A Bischoff-Ferrari; E Biver; O Bruyère; J A Cauley; J R Center; R Chapurlat; C Christiansen; C Cooper; C J Crandall; S R Cummings; J A P da Silva; B Dawson-Hughes; A Diez-Perez; A B Dufour; J A Eisman; P J M Elders; S Ferrari; Y Fujita; S Fujiwara; C-C Glüer; I Goldshtein; D Goltzman; V Gudnason; J Hall; D Hans; M Hoff; R J Hollick; M Huisman; M Iki; S Ish-Shalom; G Jones; M K Karlsson; S Khosla; D P Kiel; W-P Koh; F Koromani; M A Kotowicz; H Kröger; T Kwok; O Lamy; A Langhammer; B Larijani; K Lippuner; D Mellström; T Merlijn; A Nordström; P Nordström; T W O'Neill; B Obermayer-Pietsch; C Ohlsson; E S Orwoll; J A Pasco; F Rivadeneira; B Schei; A-M Schott; E J Shiroma; K Siggeirsdottir; E M Simonsick; E Sornay-Rendu; R Sund; K M A Swart; P Szulc; J Tamaki; D J Torgerson; N M van Schoor; T P van Staa; J Vila; N J Wareham; N C Wright; N Yoshimura; M C Zillikens; M Zwart; N C Harvey; M Lorentzon; W D Leslie; J A Kanis
Journal:  Osteoporos Int       Date:  2022-05-31       Impact factor: 5.071

2.  Guidance for the assessment and management of prostate cancer treatment-induced bone loss. A consensus position statement from an expert group.

Authors:  Janet E Brown; Catherine Handforth; Juliet E Compston; William Cross; Nigel Parr; Peter Selby; Steven Wood; Lawrence Drudge-Coates; Jennifer S Walsh; Caroline Mitchell; Fiona J Collinson; Robert E Coleman; Nicholas James; Roger Francis; David M Reid; Eugene McCloskey
Journal:  J Bone Oncol       Date:  2020-08-02       Impact factor: 4.072

3.  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

4.  Proton pump inhibitors and fracture risk. The HUNT study, Norway.

Authors:  M Hoff; E Skovlund; S Skurtveit; H E Meyer; A Langhammer; A J Søgaard; U Syversen; S Forsmo; B Abrahamsen; B Schei
Journal:  Osteoporos Int       Date:  2019-11-18       Impact factor: 4.507

5.  Anti-osteoporosis drug use: too little, too much, or just right? The HUNT study, Norway.

Authors:  M Hoff; S Skurtveit; H E Meyer; A Langhammer; A J Søgaard; U Syversen; E Skovlund; B Abrahamsen; S Forsmo; B Schei
Journal:  Osteoporos Int       Date:  2018-05-17       Impact factor: 4.507

6.  Osteoporosis treatment rate following hip fracture in a community hospital.

Authors:  Aliya A Khan; Hajar AbuAlrob; Farhan Tariq; Madiha Tauqir; Paul Zalzal; Iman M'Hiri; Moin Khan; Mark Ginty; Brad Weening
Journal:  Arch Osteoporos       Date:  2021-01-06       Impact factor: 2.617

7.  Does treatment with bisphosphonates protect against fractures in real life? The HUNT study, Norway.

Authors:  M Hoff; E Skovlund; H E Meyer; A Langhammer; A J Søgaard; U Syversen; K Holvik; B Abrahamsen; B Schei
Journal:  Osteoporos Int       Date:  2021-01-21       Impact factor: 4.507

8.  Association Among Cognition, Frailty, and Falls and Self-Reported Incident Fractures: Results From the Canadian Longitudinal Study on Aging (CLSA).

Authors:  Ahreum Lee; Caitlin McArthur; George Ioannidis; Jonathan D Adachi; Lauren E Griffith; Lehana Thabane; Lora Giangregorio; Suzanne N Morin; William D Leslie; Justin Lee; Alexandra Papaioannou
Journal:  JBMR Plus       Date:  2022-09-28

9.  Reliability of HOME FAST BRAZIL-Self-Reported Version for Community-Dwelling Older Adults.

Authors:  Karina Stella Aoki Ferreira; Tamires Terezinha Gallo da Silva; Jarbas Melo Filho; Natacha Verônica Bazanella; Audrin Said Vojciechowski; Lynette Mackenzie; Anna Raquel Silveira Gomes
Journal:  Front Public Health       Date:  2021-12-08
  9 in total

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