Literature DB >> 20107292

Primary care use of FRAX: absolute fracture risk assessment in postmenopausal women and older men.

Ethel S Siris1, Sanford Baim, Aurelia Nattiv.   

Abstract

Osteoporosis-related fractures (low-trauma or fragility fractures) cause substantial disability, health care costs, and mortality among postmenopausal women and older men. Epidemiologic studies indicate that at least half the population burden of osteoporosis-related fractures affects persons with osteopenia (low bone density), who comprise a larger segment of the population than those with osteoporosis. The public health burden of fractures will fail to decrease unless the subset of patients with low bone density who are at increased risk for fracture are identified and treated. Risk stratification for medically appropriate and cost-effective treatment is facilitated by the World Health Organization (WHO) FRAX algorithm, which uses clinical risk factors, bone mineral density, and country-specific fracture and mortality data to quantify a patient's 10-year probability of a hip or major osteoporotic fracture. Included risk factors comprise femoral neck bone mineral density, prior fractures, parental hip fracture history, age, gender, body mass index, ethnicity, smoking, alcohol use, glucocorticoid use, rheumatoid arthritis, and secondary osteoporosis. FRAX was developed by the WHO to be applicable to both postmenopausal women and men aged 40 to 90 years; the National Osteoporosis Foundation Clinician's Guide focuses on its utility in postmenopausal women and men aged >50 years. It is validated to be used in untreated patients only. The current National Osteoporosis Foundation Guide recommends treating patients with FRAX 10-year risk scores of > or = 3% for hip fracture or > or = 20% for major osteoporotic fracture, to reduce their fracture risk. Additional risk factors such as frequent falls, not represented in FRAX, warrant individual clinical judgment. FRAX has the potential to demystify fracture risk assessment in primary care for patients with low bone density, directing clinical fracture prevention strategies to those who can benefit most.

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Year:  2010        PMID: 20107292     DOI: 10.3810/pgm.2010.01.2102

Source DB:  PubMed          Journal:  Postgrad Med        ISSN: 0032-5481            Impact factor:   3.840


  23 in total

1.  Comments on Sandhu et al.: prognosis of fracture: evaluation of predictive accuracy of the FRAX(TM) algorithm and Garvan nomogram.

Authors:  W Pluskiewicz; B Drozdzowska
Journal:  Osteoporos Int       Date:  2011-01-29       Impact factor: 4.507

2.  When to Consider Bisphosphonates in Patients on Steroids for Chronic Ocular Inflammatory Conditions.

Authors:  Jaskirat S Takhar; Varun K Pawar; Athanasios G Marneris; Thuy A Doan; Nisha R Acharya; John A Gonzales
Journal:  J Ocul Pharmacol Ther       Date:  2019-06-26       Impact factor: 2.671

3.  Panoramic images of white and black post-menopausal females evidencing carotid calcifications are at high risk of comorbid osteopenia of the femoral neck.

Authors:  A H Friedlander; T I Chang; N Aghazadehsanai; G R Berenji; N D Harada; N R Garrett
Journal:  Dentomaxillofac Radiol       Date:  2013       Impact factor: 2.419

4.  Time to Clinically Relevant Fracture Risk Scores in Postmenopausal Women.

Authors:  Margaret L Gourlay; Robert A Overman; Jason P Fine; Carolyn J Crandall; John Robbins; John T Schousboe; Kristine E Ensrud; Erin S LeBlanc; Margery L Gass; Karen C Johnson; Catherine R Womack; Andrea Z LaCroix
Journal:  Am J Med       Date:  2017-03-09       Impact factor: 4.965

5.  Intrinsic material property differences in bone tissue from patients suffering low-trauma osteoporotic fractures, compared to matched non-fracturing women.

Authors:  S Vennin; A Desyatova; J A Turner; P A Watson; J M Lappe; R R Recker; M P Akhter
Journal:  Bone       Date:  2017-01-27       Impact factor: 4.398

6.  Application of the fracture risk assessment tool (FRAX(®)) and determination of suitable cut-off values during primary screening in specific health check-ups in Japan.

Authors:  Shinichi Nakatoh; Yuki Takemaru
Journal:  J Bone Miner Metab       Date:  2013-03-30       Impact factor: 2.626

7.  Thoracic kyphosis and rate of incident vertebral fractures: the Fracture Intervention Trial.

Authors:  W B Katzman; E Vittinghoff; D M Kado; N E Lane; K E Ensrud; K Shipp
Journal:  Osteoporos Int       Date:  2016-01-18       Impact factor: 4.507

8.  The associations of physical activity with fracture risk--a 7-year prospective controlled intervention study in 3534 children.

Authors:  J Fritz; M E Cöster; J-Å Nilsson; B E Rosengren; M Dencker; M K Karlsson
Journal:  Osteoporos Int       Date:  2015-09-10       Impact factor: 4.507

9.  Underestimated fracture probability in patients with unilateral hip osteoarthritis as calculated by FRAX.

Authors:  Nithya Setty; Meryl S Leboff; Thomas S Thornhill; Giulia Rinaldi; Julie Glowacki
Journal:  J Clin Densitom       Date:  2011-08-17       Impact factor: 2.617

10.  Expected lifetime numbers, risks, and burden of osteoporotic fractures for 50-year old Chinese women: a discrete event simulation incorporating FRAX.

Authors:  Yawen Jiang; Weiyi Ni
Journal:  J Bone Miner Metab       Date:  2015-11-20       Impact factor: 2.626

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