Literature DB >> 33649966

FRAX-based fracture probabilities in South Africa.

Helena Johansson1,2, Sapna S Dela3, Bilkish Cassim4, Farhanah Paruk5, Susan L Brown6, Magda Conradie7, Nicholas C Harvey8, Johannes D Jordaan9, Asgar A Kalla10, Enwu Liu1, Mattias Lorentzon1,11, Mkhululi Lukhele12, Eugene V McCloskey2,13, Ozayr Mohamed14, Pariva Chutterpaul5, Liesbeth Vandenput1,15, John A Kanis16,17.   

Abstract

The hip fracture rates in South Africa were used to create ethnic-specific FRAX® models to facilitate fracture risk assessment.
INTRODUCTION: The aim of this study was to develop FRAX models to compute the 10-year probability of hip fracture and major osteoporotic fracture and assess their potential clinical application.
METHODS: Age- and sex-specific incidence of hip fracture and national mortality rates were incorporated into a FRAX model for the White, Black African, Coloured and Indian population of South Africa. Age-specific 10-year probabilities of a major osteoporotic fracture were calculated in women to determine fracture probabilities at a femoral neck T score of -2.5 SD, or those equivalent to a woman with a prior fragility fracture. Fracture probabilities were compared with those from selected countries.
RESULTS: Probabilities were consistently higher in Indian than in Coloured men and women, in turn, higher than in Black South Africans. For White South Africans, probabilities were lower than in Indians at young ages up to the age of about 80 years. When a BMD T score of -2.5 SD was used as an intervention threshold, FRAX probabilities in women age 50 years were approximately 2-fold higher than in women of the same age but with an average BMD and no risk factors. The increment in risk associated with the BMD threshold decreased progressively with age such that, at the age of 80 years or more, a T score of -2.5 SD was no longer a risk factor. Probabilities equivalent to women with a previous fracture rose with age and identified women at increased risk at all ages.
CONCLUSIONS: These FRAX models should enhance accuracy of determining fracture probability amongst the South African population and help guide decisions about treatment.

Entities:  

Keywords:  Epidemiology; FRAX; Fracture probability; Hip fracture; Osteoporosis; South Africa

Mesh:

Year:  2021        PMID: 33649966      PMCID: PMC7921059          DOI: 10.1007/s11657-021-00905-w

Source DB:  PubMed          Journal:  Arch Osteoporos            Impact factor:   2.617


  40 in total

1.  The incidence of a first major osteoporotic fracture in Iceland and implications for FRAX.

Authors:  K Siggeirsdottir; T Aspelund; H Johansson; E F Gudmundsson; B Mogensen; B Y Jonsson; V Gudnason; E McCloskey; A Oden; G Sigurdsson; J A Kanis
Journal:  Osteoporos Int       Date:  2014-07-01       Impact factor: 4.507

Review 2.  Body mass index as a predictor of fracture risk: a meta-analysis.

Authors:  C De Laet; J A Kanis; A Odén; H Johanson; O Johnell; P Delmas; J A Eisman; H Kroger; S Fujiwara; P Garnero; E V McCloskey; D Mellstrom; L J Melton; P J Meunier; H A P Pols; J Reeve; A Silman; A Tenenhouse
Journal:  Osteoporos Int       Date:  2005-06-01       Impact factor: 4.507

3.  Hip fracture incidence rates in Singapore 1991-1998.

Authors:  L K Koh; S M Saw; J J Lee; K H Leong; J Lee
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

4.  Age- and gender-specific rate of fractures in Australia: a population-based study.

Authors:  K M Sanders; E Seeman; A M Ugoni; J A Pasco; T J Martin; B Skoric; G C Nicholson; M A Kotowicz
Journal:  Osteoporos Int       Date:  1999       Impact factor: 4.507

5.  FRAX assessment of osteoporotic fracture probability in Switzerland.

Authors:  K Lippuner; H Johansson; J A Kanis; R Rizzoli
Journal:  Osteoporos Int       Date:  2009-06-11       Impact factor: 4.507

6.  Decreased incidence of hip fracture in Hispanics, Asians, and blacks: California Hospital Discharge Data.

Authors:  S L Silverman; R E Madison
Journal:  Am J Public Health       Date:  1988-11       Impact factor: 9.308

7.  The effects of a FRAX revision for the USA.

Authors:  J A Kanis; H Johansson; A Oden; B Dawson-Hughes; L J Melton; E V McCloskey
Journal:  Osteoporos Int       Date:  2009-08-25       Impact factor: 4.507

8.  Epidemiology of hip fracture in Belarus: development of a country-specific FRAX model and its comparison to neighboring country models.

Authors:  H Ramanau; I Chernyanin; E Rudenka; O Lesnyak; A Zakroyeva; J P Bilezikian; H Johansson; N C Harvey; E V McCloskey; J A Kanis
Journal:  Arch Osteoporos       Date:  2018-04-17       Impact factor: 2.617

9.  Fragility fractures in Europe: burden, management and opportunities.

Authors:  Fredrik Borgström; Linda Karlsson; Gustav Ortsäter; Nicolas Norton; Philippe Halbout; Cyrus Cooper; Mattias Lorentzon; Eugene V McCloskey; Nicholas C Harvey; Muhamamd K Javaid; John A Kanis
Journal:  Arch Osteoporos       Date:  2020-04-19       Impact factor: 2.617

10.  Epidemiology of hip fracture and the development of FRAX in Ukraine.

Authors:  V V Povoroznyuk; N V Grygorieva; J A Kanis; McCloskey Ev; H Johansson; N C Harvey; M O Korzh; S S Strafun; V M Vaida; F V Klymovytsky; R O Vlasenko; V S Forosenko
Journal:  Arch Osteoporos       Date:  2017-05-31       Impact factor: 2.617

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  1 in total

1.  Calcium deficiency worldwide: prevalence of inadequate intakes and associated health outcomes.

Authors:  Julie Shlisky; Rubina Mandlik; Sufia Askari; Steven Abrams; Jose M Belizan; Megan W Bourassa; Gabriela Cormick; Amalia Driller-Colangelo; Filomena Gomes; Anuradha Khadilkar; Victor Owino; John M Pettifor; Ziaul H Rana; Daniel E Roth; Connie Weaver
Journal:  Ann N Y Acad Sci       Date:  2022-03-05       Impact factor: 6.499

  1 in total

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