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Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia

OBJECTIVES: The accuracy of FRAX® as a screening tool to identify osteoporosis and how it compares with tools such as Osteoporosis Self-Assessment Tool for Asians (OSTA), in Southeast Asian women has so far been unexplored. We aimed to determine the FRAX® thresholds that accurately identify densitom...

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Autores principales: Chandran, Manju, Chin, Yun Ann, Choo, Kuan Swen, Ang, Wan Chen, Huang, Xiao Feng, Liu, Xiao Ming, Tay, Donovan, Aung, Tin Kyaw Kyaw, Ali, Amin, Thu, Win Pa Pa, Logan, Susan, Yan, Sean Xuexian, Lekamwasam, Sarath, Hao, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Osteoporosis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374549/
https://www.ncbi.nlm.nih.gov/pubmed/32715094
http://dx.doi.org/10.1016/j.afos.2020.04.001
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author Chandran, Manju
Chin, Yun Ann
Choo, Kuan Swen
Ang, Wan Chen
Huang, Xiao Feng
Liu, Xiao Ming
Tay, Donovan
Aung, Tin Kyaw Kyaw
Ali, Amin
Thu, Win Pa Pa
Logan, Susan
Yan, Sean Xuexian
Lekamwasam, Sarath
Hao, Ying
author_facet Chandran, Manju
Chin, Yun Ann
Choo, Kuan Swen
Ang, Wan Chen
Huang, Xiao Feng
Liu, Xiao Ming
Tay, Donovan
Aung, Tin Kyaw Kyaw
Ali, Amin
Thu, Win Pa Pa
Logan, Susan
Yan, Sean Xuexian
Lekamwasam, Sarath
Hao, Ying
author_sort Chandran, Manju
collection PubMed
description OBJECTIVES: The accuracy of FRAX® as a screening tool to identify osteoporosis and how it compares with tools such as Osteoporosis Self-Assessment Tool for Asians (OSTA), in Southeast Asian women has so far been unexplored. We aimed to determine the FRAX® thresholds that accurately identify densitometric osteoporosis and to compare its performance with that of OSTA for this purpose. METHODS: Singaporean postmenopausal women (n = 1056) were evaluated. FRAX® Major Osteoporotic Fracture Probability (MOFP), Hip Fracture Probability (HFP) scores, and OSTA indices were calculated. Receiver operating characteristic (ROC) curves were constructed and via the Youden index, the optimal cut-off points of balanced sensitivity and specificity for dual energy X-ray absorptiometry (DXA)-defined osteoporosis were identified and the performance characteristics were compared. RESULTS: A FRAX® MOFP threshold of ≥3.7% had sensitivity, specificity, positive predictive value and negative predictive value of 0.78 (0.73–0.83), 0.63 (0.59–0.66), 0.4 (0.36–0.44), and 0.9 (0.87–0.92), respectively in identifying osteoporosis. The corresponding values for a HFP threshold of ≥0.6% were 0.85 (0.80–0.89), 0.58 (0.55–0.62), 0.39 (0.35–0.43), and 0.92 (0.9–0.94) and that for an OSTA index cut-off of ≤ −1.2 were 0.76 (0.70–0.81), 0.74 (0.71–0.77), 0.48 (0.43–0.54), and 0.91 (0.88–0.93). The area under the ROC curves were 82.8% (79.9%–85.6%), 77.6% (74.2%–81%), and 79.6% (76.5%–82.8%) for OSTA, MOFP, and HFP thresholds respectively. CONCLUSIONS: FRAX® and OSTA perform comparably in identifying osteoporosis in our population. OSTA has only 2 parameters and may be simpler to use. However, FRAX® may also have a role in primary screening to identify the postmenopausal woman to be referred for DXA scanning and may help facilitate fracture risk reduction discussions with the patient.
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spelling pubmed-73745492020-07-24 Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia Chandran, Manju Chin, Yun Ann Choo, Kuan Swen Ang, Wan Chen Huang, Xiao Feng Liu, Xiao Ming Tay, Donovan Aung, Tin Kyaw Kyaw Ali, Amin Thu, Win Pa Pa Logan, Susan Yan, Sean Xuexian Lekamwasam, Sarath Hao, Ying Osteoporos Sarcopenia Original Article OBJECTIVES: The accuracy of FRAX® as a screening tool to identify osteoporosis and how it compares with tools such as Osteoporosis Self-Assessment Tool for Asians (OSTA), in Southeast Asian women has so far been unexplored. We aimed to determine the FRAX® thresholds that accurately identify densitometric osteoporosis and to compare its performance with that of OSTA for this purpose. METHODS: Singaporean postmenopausal women (n = 1056) were evaluated. FRAX® Major Osteoporotic Fracture Probability (MOFP), Hip Fracture Probability (HFP) scores, and OSTA indices were calculated. Receiver operating characteristic (ROC) curves were constructed and via the Youden index, the optimal cut-off points of balanced sensitivity and specificity for dual energy X-ray absorptiometry (DXA)-defined osteoporosis were identified and the performance characteristics were compared. RESULTS: A FRAX® MOFP threshold of ≥3.7% had sensitivity, specificity, positive predictive value and negative predictive value of 0.78 (0.73–0.83), 0.63 (0.59–0.66), 0.4 (0.36–0.44), and 0.9 (0.87–0.92), respectively in identifying osteoporosis. The corresponding values for a HFP threshold of ≥0.6% were 0.85 (0.80–0.89), 0.58 (0.55–0.62), 0.39 (0.35–0.43), and 0.92 (0.9–0.94) and that for an OSTA index cut-off of ≤ −1.2 were 0.76 (0.70–0.81), 0.74 (0.71–0.77), 0.48 (0.43–0.54), and 0.91 (0.88–0.93). The area under the ROC curves were 82.8% (79.9%–85.6%), 77.6% (74.2%–81%), and 79.6% (76.5%–82.8%) for OSTA, MOFP, and HFP thresholds respectively. CONCLUSIONS: FRAX® and OSTA perform comparably in identifying osteoporosis in our population. OSTA has only 2 parameters and may be simpler to use. However, FRAX® may also have a role in primary screening to identify the postmenopausal woman to be referred for DXA scanning and may help facilitate fracture risk reduction discussions with the patient. Korean Society of Osteoporosis 2020-06 2020-04-26 /pmc/articles/PMC7374549/ /pubmed/32715094 http://dx.doi.org/10.1016/j.afos.2020.04.001 Text en © 2020 The Korean Society of Osteoporosis. Publishing services by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Chandran, Manju
Chin, Yun Ann
Choo, Kuan Swen
Ang, Wan Chen
Huang, Xiao Feng
Liu, Xiao Ming
Tay, Donovan
Aung, Tin Kyaw Kyaw
Ali, Amin
Thu, Win Pa Pa
Logan, Susan
Yan, Sean Xuexian
Lekamwasam, Sarath
Hao, Ying
Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia
title Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia
title_full Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia
title_fullStr Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia
title_full_unstemmed Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia
title_short Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia
title_sort comparison of the osteoporosis self-assessment tool for asians and the fracture risk assessment tool - frax to identify densitometric defined osteoporosis: a discriminatory value analysis in a multi-ethnic female population in southeast asia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374549/
https://www.ncbi.nlm.nih.gov/pubmed/32715094
http://dx.doi.org/10.1016/j.afos.2020.04.001
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