Gadong Lyza Camille P, Cabral Monica Therese, Capellan Maria Leonora, Ang-Golangco Nerissa
Section of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, Makati Medical Center, Makati City, Metro Manila, Philippines.
Osteoporos Sarcopenia. 2020 Sep;6(3):115-121. doi: 10.1016/j.afos.2020.08.001. Epub 2020 Sep 9.
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.
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.
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.
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.
比较骨质疏松症预测指数(PIO)与亚洲人骨质疏松自我评估工具(OSTA),作为识别50 - 69岁菲律宾男性和50 - 65岁菲律宾女性骨质疏松风险的临床工具。
这是一项采用横断面研究方法的分析性研究,纳入在门诊慈善部门或私人诊所就诊并接受双能X线吸收法检查的菲律宾男性和女性。所有受试者均完成一份结构化问卷,并测量其体重和身高,据此计算他们的PIO和OSTA分数。
共有81例患者纳入研究。OSTA的曲线下面积为0.712,具有统计学意义(P = 0.0004),计算得到的似然比为1.64。PIO的受试者工作特征(ROC)曲线显示,最佳截断值> 0.962,该患者可能患有骨质疏松症的计算似然比为1.38。比较敏感性和特异性,得到的P值为0.2728,表明这两种工具的曲线下面积无显著差异。
根据ROC分析,OSTA和PIO区分骨质疏松症高风险和低风险患者的最佳截断点分别为0.712和0.686。在预测菲律宾成年人骨质疏松风险方面,OSTA和PIO的性能指标无显著差异。