Literature DB >> 19926449

A selection strategy was developed for fracture reduction programs in frail older people.

Jian Sheng Chen1, Philip N Sambrook, Judy M Simpson, Lyn M March, Robert G Cumming, Markus J Seibel, Stephen R Lord, Ian D Cameron.   

Abstract

OBJECTIVES: The aims of this study were to develop and evaluate a simple index for assessing the risk of fractures after a fall and to propose a selection strategy for identifying elderly individuals at high risk of both falls and fall-related fractures. STUDY DESIGN AND
SETTING: Two thousand five institutionalized older men and women were assessed for clinical risk factors and then followed up for falls and fall-related fractures for up to 2 years.
RESULTS: Our fracture risk index is derived from seven previously identified significant independent risk factors: weight, lower leg length, balance, cognitive function, type of institution, fracture history, and falls in the past year. The fracture rate was 6.5 times greater in the one-sixth of the falls with the highest index (9.7/100 falls) than in the lowest sixth (1.5/100 falls). Our proposed approach (based on balance, risk of falls, and the fracture risk index) selected a group of older people with high risk of both falls and fall-related fracture. The fracture incidence rate was 144% higher, and the falls incidence rate was 31% higher in the selected residents than in the remainder.
CONCLUSION: The index could help rationalize fracture prevention programs for frail older people.

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Year:  2010        PMID: 19926449     DOI: 10.1016/j.jclinepi.2009.08.018

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  6 in total

1.  Individuals with neurological diseases are at increased risk of fractures within 180 days of admission to long-term care in Ontario.

Authors:  Micaela Jantzi; Amy C Maher; George Ioannidis; John P Hirdes; Lora M Giangregorio; Alexandra Papaioannou
Journal:  Age Ageing       Date:  2014-11-14       Impact factor: 10.668

2.  Recommendations for preventing fracture in long-term care.

Authors:  Alexandra Papaioannou; Nancy Santesso; Suzanne N Morin; Sidney Feldman; Jonathan D Adachi; Richard Crilly; Lora M Giangregorio; Susan Jaglal; Robert G Josse; Sharon Kaasalainen; Paul Katz; Andrea Moser; Laura Pickard; Hope Weiler; Susan Whiting; Carly J Skidmore; Angela M Cheung
Journal:  CMAJ       Date:  2015-09-14       Impact factor: 8.262

Review 3.  Osteoporosis, frailty and fracture: implications for case finding and therapy.

Authors:  Joop P van den Bergh; Tineke A van Geel; Piet P Geusens
Journal:  Nat Rev Rheumatol       Date:  2012-01-17       Impact factor: 20.543

Review 4.  Fracture risk in long term care: a systematic review and meta-analysis of prospective observational studies.

Authors:  Rasha Khatib; Nancy Santesso; Laura Pickard; Osman Osman; Lora Giangregorio; Carly Skidmore; Alexandra Papaioannou
Journal:  BMC Geriatr       Date:  2014-12-03       Impact factor: 3.921

5.  Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study.

Authors:  Caitlin McArthur; George Ioannidis; Micaela Jantzi; Jonathon D Adachi; Lora Giangregorio; John Hirdes; Alexandra Papaioannou
Journal:  BMC Musculoskelet Disord       Date:  2020-07-28       Impact factor: 2.362

6.  Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study.

Authors:  George Ioannidis; Micaela Jantzi; Jenn Bucek; Jonathan D Adachi; Lora Giangregorio; John Hirdes; Laura Pickard; Alexandra Papaioannou
Journal:  BMJ Open       Date:  2017-09-01       Impact factor: 2.692

  6 in total

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