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Prognostic performance of Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians in the identification of individuals high-risk for osteoporosis

OBJECTIVES: To compare Predictive Index for Osteoporosis (PIO) with Osteoporosis Self-Assessment Tool for Asians (OSTA) as a clinical tool for identifying the risk of osteoporosis in Filipino men 50–69 and Filipino women 50–65 years of age. METHODS: This was an analytic study that employed a cross s...

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Autores principales: Gadong, Lyza Camille P., Cabral, Monica Therese, Capellan, Maria Leonora, Ang-Golangco, Nerissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Osteoporosis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573496/
https://www.ncbi.nlm.nih.gov/pubmed/33102804
http://dx.doi.org/10.1016/j.afos.2020.08.001
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author Gadong, Lyza Camille P.
Cabral, Monica Therese
Capellan, Maria Leonora
Ang-Golangco, Nerissa
author_facet Gadong, Lyza Camille P.
Cabral, Monica Therese
Capellan, Maria Leonora
Ang-Golangco, Nerissa
author_sort Gadong, Lyza Camille P.
collection PubMed
description OBJECTIVES: To compare Predictive Index for Osteoporosis (PIO) with Osteoporosis Self-Assessment Tool for Asians (OSTA) as a clinical tool for identifying the risk of osteoporosis in Filipino men 50–69 and Filipino women 50–65 years of age. METHODS: This was an analytic study that employed a cross sectional approach that included Filipino men and women seen at the Outpatient Charity Department or at the private clinics and who underwent dual energy X-ray absorptiometry. All subjects completed a structured questionnaire and their weight and height were obtained, from which their PIO and OSTA scores were computed. RESULTS: A total of 81 patients were included in the study. OSTA has an area under the curve of 0.712 which turns out to be significant (P = 0.0004), with a calculated likelihood ratio of 1.64. The receiver operating characteristic (ROC) curve of PIO showed that the optimal cut off is > 0.962 and the calculated likelihood ratio that this patient may have osteoporosis is 1.38. Comparing the sensitivity and specificity, the resulting P value of 0.2728 denotes that the area under the curve of the 2 tools is not significantly different. CONCLUSIONS: The optimal cut-off point of OSTA and PIO to discriminate high-risk and low-risk patients for osteoporosis were 0.712 and 0.686, respectively, based on ROC analysis. The performance measures of OSTA and PIO did not vary significantly in predicting the risk for osteoporosis in Filipino adults.
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spelling pubmed-75734962020-10-23 Prognostic performance of Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians in the identification of individuals high-risk for osteoporosis Gadong, Lyza Camille P. Cabral, Monica Therese Capellan, Maria Leonora Ang-Golangco, Nerissa Osteoporos Sarcopenia Original Article OBJECTIVES: To compare Predictive Index for Osteoporosis (PIO) with Osteoporosis Self-Assessment Tool for Asians (OSTA) as a clinical tool for identifying the risk of osteoporosis in Filipino men 50–69 and Filipino women 50–65 years of age. METHODS: This was an analytic study that employed a cross sectional approach that included Filipino men and women seen at the Outpatient Charity Department or at the private clinics and who underwent dual energy X-ray absorptiometry. All subjects completed a structured questionnaire and their weight and height were obtained, from which their PIO and OSTA scores were computed. RESULTS: A total of 81 patients were included in the study. OSTA has an area under the curve of 0.712 which turns out to be significant (P = 0.0004), with a calculated likelihood ratio of 1.64. The receiver operating characteristic (ROC) curve of PIO showed that the optimal cut off is > 0.962 and the calculated likelihood ratio that this patient may have osteoporosis is 1.38. Comparing the sensitivity and specificity, the resulting P value of 0.2728 denotes that the area under the curve of the 2 tools is not significantly different. CONCLUSIONS: The optimal cut-off point of OSTA and PIO to discriminate high-risk and low-risk patients for osteoporosis were 0.712 and 0.686, respectively, based on ROC analysis. The performance measures of OSTA and PIO did not vary significantly in predicting the risk for osteoporosis in Filipino adults. Korean Society of Osteoporosis 2020-09 2020-09-09 /pmc/articles/PMC7573496/ /pubmed/33102804 http://dx.doi.org/10.1016/j.afos.2020.08.001 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
Gadong, Lyza Camille P.
Cabral, Monica Therese
Capellan, Maria Leonora
Ang-Golangco, Nerissa
Prognostic performance of Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians in the identification of individuals high-risk for osteoporosis
title Prognostic performance of Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians in the identification of individuals high-risk for osteoporosis
title_full Prognostic performance of Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians in the identification of individuals high-risk for osteoporosis
title_fullStr Prognostic performance of Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians in the identification of individuals high-risk for osteoporosis
title_full_unstemmed Prognostic performance of Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians in the identification of individuals high-risk for osteoporosis
title_short Prognostic performance of Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians in the identification of individuals high-risk for osteoporosis
title_sort prognostic performance of predictive index for osteoporosis and osteoporosis self-assessment tool for asians in the identification of individuals high-risk for osteoporosis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573496/
https://www.ncbi.nlm.nih.gov/pubmed/33102804
http://dx.doi.org/10.1016/j.afos.2020.08.001
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