Performance of Sri Lankan FRAX algorithm without bone mineral density and with Quantitative Ultrasound data input

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dc.contributor.author Subasinghe, H.W.A.S.
dc.contributor.author Lekamwasam, Sarath
dc.contributor.author Ball, P.
dc.contributor.author Morrissey, H.
dc.contributor.author Waidyaratne, E.I.
dc.date.accessioned 2023-01-19T09:54:16Z
dc.date.available 2023-01-19T09:54:16Z
dc.date.issued 2019-03-06
dc.identifier.citation Subasinghe, H.W.A.S., Lekamwasam, S., Ball, P., Morrissey, H. and Waidyaratne, E.I., 2019. Performance of Sri Lankan FRAX algorithm without bone mineral density and with Quantitative Ultrasound data input. Ceylon Medical Journal, 64(1), pp.17–24. DOI: http://doi.org/10.4038/cmj.v64i1.8836 en_US
dc.identifier.issn 2386-1274
dc.identifier.uri http://ir.lib.ruh.ac.lk/xmlui/handle/iruor/10243
dc.description.abstract Introduction Fracture risk assessment algorithm (FRAX) is the most validated method available to predict fracture risk. Its use is restricted due to limited availability of Dual Energy X-ray Absorptiometry (DXA). FRAX has the option of assessing fracture risk without bone mineral density (BMD) data. Objectives To assess the ability of Sri Lankan FRAX algorithm without BMD input in evaluating fracture risk. The possibility of replacing the BMD input with Quan titative Ultrasound (QUS) data of radius in calculating fracture risk also assessed. Methods Data of clinical risk factors associated with fractures were collected from community dwelling postmenopausal women (n=339). DXA scans were performed in all subjects and QUS scans (in radius) were performed in a randomly selected sample (n=207). Ten-year risks of major osteoporotic fracture (MOFR) and hip fracture (HFR) were calculated with BMD, without BMD (FRAX-FN0 ) and with QUS T score instead of BMD (FRAX-UST). Results and conclusion Nearly 35.7% had high risk of fractures. FRAX-FN0 had 79.2% sensitivity, 80.1% specificity, 68.8% positive predictive value (PPV) and 87.4% negative predictive value (NPV). FRAX-UST showed 78.4% sensitivity, 70% specificity, 59.8% PPV and 85% NPV. ROC AUCs were above 0.80 in both FRAX FN0 and FRAX-UST. The standard errors of estimate (SEE) were less in FRAX-FN0 (3.96 and 2.76 for MOFR FN0 and HFR-FN0 respectively) compared to FRAX-UST (6.13 and 4.83 for MOFR-UST and HFR-UST, res pectively). In conclusion, Sri Lankan FRAX without BMD is an acceptable alternative in areas with restricted DXA facility. Radial QUS data cannot be used as a substitute to FN-BMD in Sri Lankan FRAX. en_US
dc.language.iso en en_US
dc.publisher Sri Lanka Medical Association en_US
dc.subject Bone mineral density en_US
dc.subject FRAX en_US
dc.subject Postmenopausal women en_US
dc.subject Ultrasound bone scan en_US
dc.title Performance of Sri Lankan FRAX algorithm without bone mineral density and with Quantitative Ultrasound data input en_US
dc.type Article en_US


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