Literature DB >> 23975235

Sri Lankan FRAX model and country-specific intervention thresholds.

Sarath Lekamwasam1.   

Abstract

SUMMARY: There is a wide variation in fracture probabilities estimated by Asian FRAX models, although the outputs of South Asian models are concordant. Clinicians can choose either fixed or age-specific intervention thresholds when making treatment decisions in postmenopausal women. Cost-effectiveness of such approach, however, needs to be addressed.
PURPOSE: This study examined suitable fracture probability intervention thresholds (ITs) for Sri Lanka, based on the Sri Lankan FRAX model.
METHODS: Fracture probabilities were estimated using all Asian FRAX models for a postmenopausal woman of BMI 25 kg/m² and has no clinical risk factors apart from a fragility fracture, and they were compared. Age-specific ITs were estimated based on the Sri Lankan FRAX model using the method followed by the National Osteoporosis Guideline Group in the UK. Using the age-specific ITs as the reference standard, suitable fixed ITs were also estimated.
RESULTS: Fracture probabilities estimated by different Asian FRAX models varied widely. Japanese and Taiwan models showed higher fracture probabilities while Chinese, Philippine, and Indonesian models gave lower fracture probabilities. Output of remaining FRAX models were generally similar. Age-specific ITs of major osteoporotic fracture probabilities (MOFP) based on the Sri Lankan FRAX model varied from 2.6 to 18% between 50 and 90 years. ITs of hip fracture probabilities (HFP) varied from 0.4 to 6.5% between 50 and 90 years. In finding fixed ITs, MOFP of 11% and HFP of 3.5% gave the lowest misclassification and highest agreement.
CONCLUSION: Sri Lankan FRAX model behaves similar to other Asian FRAX models such as Indian, Singapore-Indian, Thai, and South Korean. Clinicians may use either the fixed or age-specific ITs in making therapeutic decisions in postmenopausal women. The economical aspects of such decisions, however, need to be considered.

Entities:  

Mesh:

Year:  2013        PMID: 23975235     DOI: 10.1007/s11657-013-0148-x

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


  10 in total

1.  Burden of high fracture probability worldwide: secular increases 2010-2040.

Authors:  A Odén; E V McCloskey; J A Kanis; N C Harvey; H Johansson
Journal:  Osteoporos Int       Date:  2015-05-28       Impact factor: 4.507

2.  Ability of FRAX Sri Lanka adjusted for trabecular bone score to discriminate between postmenopausal women with a recent fracture and without a fracture.

Authors:  Sarath Lekamwasam; Madushani Karunanayaka; Vidumini Kaluarachchi; Manju Chandran; Hasanga Rathnayake; Sewwandi Subasinghe
Journal:  Osteoporos Sarcopenia       Date:  2020-07-28

Review 3.  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

4.  FRAX-based assessment and intervention thresholds--an exploration of thresholds in women aged 50 years and older in the UK.

Authors:  E McCloskey; J A Kanis; H Johansson; N Harvey; A Odén; A Cooper; C Cooper; R M Francis; D M Reid; D Marsh; P Selby; F Thompson; S Hewitt; J Compston
Journal:  Osteoporos Int       Date:  2015-06-16       Impact factor: 4.507

5.  The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults.

Authors:  Jun Wang; Xuejun Wang; Zhen Fang; Nanjia Lu; Liyuan Han
Journal:  Clinics (Sao Paulo)       Date:  2017-05       Impact factor: 2.365

Review 6.  The diversity of Fracture Risk Assessment Tool (FRAX)-based intervention thresholds in Asia.

Authors:  Sarath Lekamwasam
Journal:  Osteoporos Sarcopenia       Date:  2019-12-16

7.  A surrogate FRAX model for Pakistan.

Authors:  G Naureen; H Johansson; R Iqbal; L Jafri; A H Khan; M Umer; E Liu; L Vandenput; M Lorentzon; N C Harvey; E V McCloskey; J A Kanis
Journal:  Arch Osteoporos       Date:  2021-02-17       Impact factor: 2.617

8.  Prevalence and factors associated with recurrent falls among middle-aged community-dwelling women.

Authors:  Nirmala Rathnayake; Sarath Lekamwasam
Journal:  J Frailty Sarcopenia Falls       Date:  2021-09-01

9.  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

10.  Agreement between the Turkey Guidelines and the Fracture Risk Assessment Tool®-based Intervention Threshold.

Authors:  Ahmet Imerci; Nevres Hurriyet Aydogan; Kursad Tosun
Journal:  J Bone Metab       Date:  2018-05-31
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.