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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
Article | WPRIM | ID: wpr-837056
Biblioteca responsável: WPRO
ABSTRACT
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 50e69 and Filipino women 50e65 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 ¼ 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.
Texto completo: 1 Índice: WPRIM Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Qualitative_research Revista: Osteoporosis and Sarcopenia Ano de publicação: 2020 Tipo de documento: Article
Texto completo: 1 Índice: WPRIM Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Qualitative_research Revista: Osteoporosis and Sarcopenia Ano de publicação: 2020 Tipo de documento: Article