Korean Experience With the OSTA Risk Index for Osteoporosis

Park, H. M.; Sedrine, Wafa Ben; Reginster, Jean‐Yves; Ross, Philip D.

doi:10.1385/jcd:6:3:247

Cited by 52 publications

(31 citation statements)

References 9 publications

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“…Several previous studies defined osteoporosis by a T-score ≤ −2.5 at the femoral neck for establishment of OSTA [9, 18, 19, 21]. However, based on BMD measured at different skeletal sites, our data showed that the accuracy for OSTAi was somewhat diverse.…”

Section: Discussionmentioning

confidence: 58%

“…Prevalence of osteoporosis for high-risk group by OSTA risk category in several Asian studies, including multi-country sample of Asian women[9], Korea[19], Filipinos[21], China[23] were 61%, 64%, 51.3%, and 44%, respectively. As the cutoff index values of each study were arbitrary, to compare the prevalence of osteoporosis of each country/population in each category seems not feasible.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, it was well known that osteoporosis at any site can predict future fracture risk at other site [32]. Therefore, as the study by Yang et al [23] and in Saraví FD research [33], we developed OSTAi for identifying possible osteoporosis according to T-score ≤ -2.5 at any site, instead of the femoral neck in other studies [9, 18, 19, 21]. …”

Section: Discussionmentioning

confidence: 99%

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Development and Validation of an Osteoporosis Self-Assessment Tool for Taiwan (OSTAi) Postmenopausal Women-A Sub-Study of the Taiwan OsteoPorosis Survey (TOPS)

Liu

Chen

et al. 2015

PLoS ONE

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BackgroundTo develop an OSTAi tool and compare this with the National Osteoporosis Foundation recommendations in 2013 (NOF 2013) for bone mineral density (BMD) testing among Taiwan postmenopausal women.MethodsTaiwan Osteoporosis Association (TOA) conducted a nationwide BMD survey by a bus installed with a dual energy X-ray absorptiometry (DXA) between 2008 and 2011. All of the participants completed questionnaire, which included demographics and risk factors of osteoporotic fracture in FRAX tool. We used the database to analyze potential risk factors for osteoporosis and followed the model by Koh et al. to develop a risk index via multiple variable regression analysis and item reduction. We used the index values to set up a simple algorithm (namely OSTAi) to identify those who need BMD measurement. Receiver operating characteristic (ROC) curve and the area under the curve (AUC) was used to compare the sensitivity/specificity analysis of this model with that of recommendations by NOF 2013.ResultsA total of 12,175 Taiwan postmenopausal women enrolled in this survey. The index value was derived by age and body weight of the participants according to weighted odds of each risk factor and the selected cutoff value was set at “-1”. There are 6393 (52.5%) participants whose index value is below “-1” and whose risk of osteoporosis was 57.5% (3674/6393). The AUC for OSTAi and NOF 2013 were 0.739 (95% confidence interval (CI), 0.728–0.749, P<0.001) and 0.618 (95% CI, 0.606–0.630, P<0.001), respectively. The sensitivity and specificity of OSTAi, at the selected cutoff value of -1, and NOF 2013 to identify osteoporosis were 73.1%, 62.0% and 78.3%, 45.7%, respectively.ConclusionsAs OSTA for Asian populations, OSTAi is an useful tool to identify Taiwan postmenopausal women with osteoporosis, In comparison with NOF 2013, OSTAi may be an easier and better tool for referral to BMD measurement by DXA in this area.

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Section: Discussionmentioning

confidence: 58%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Development and Validation of an Osteoporosis Self-Assessment Tool for Taiwan (OSTAi) Postmenopausal Women-A Sub-Study of the Taiwan OsteoPorosis Survey (TOPS)

Liu

Chen

et al. 2015

PLoS ONE

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“…Further studies on post-menopausal women in South Korea, China, Thailand, the Philippines and other Asian countries revealed sensitivity and specificity in the range of 87-97.5% and 54.6-60.8%, respectively [9][10][11]. However, there are relatively fewer studies in Asian men populations, and the limited available data suggest that for a cutoff of OSTA À1, the sensitivity ranges from 70 to 90% with 70% specificity [8,12].…”

Section: Introductionmentioning

confidence: 99%

The effect of age on the changes in bone mineral density and osteoporosis detection rates in Han Chinese men over the age of 50

Liu¹,

Zhang²,

Cheng³

et al. 2014

The Aging Male

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“…The easier to use in clinical practice are certainly the osteoporosis self-assessment tool [3,27] and the body weight criterion [19]. They have been validated for women of diverse origins, including Asian and Caucasian [3,[28][29][30][31][32]. The evidence for the utility of these rules in a clinical setting is scarce and few studies have been performed in men [33][34][35][36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Selecting men for bone densitometry: performance of osteoporosis risk assessment tools in Portuguese men

2009

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Summary Clinicians need tools to identify patients most likely to benefit from bone mineral density (BMD) testing, for which cost-effectiveness does not allow generalized screening. This study supports the utility of osteoporosis risk assessment tools in selecting men for BMD testing. Different cutoff values may be appropriate for different countries and/or ethnic origins. Introduction Our aim was to evaluate the utility of three osteoporosis (OP) risk assessment tools in a large group of Portuguese men aged 50 or more and to determine the best cutoff value to be used for selecting men for bone densitometry. Methods We assessed the performance of three simple tools in 202 randomly selected men: body weight criterion (BWC), osteoporosis self-assessment tool for Asians (OSTA), and a modified version of the OSTA equation (OST). Previously published cutoff values (validated in postmenopausal women) and three additional cutoff values were tested. Sensitivity (SE), specificity (SP), predictive values, and area under the receiver operating characteristic (AUROC) curve for correctly selecting men with OP (defined by BMD testing) were determined. Results Mean age of the cohort was 63.8 years. According to the World Health Organization diagnostic categories, 16.8% had osteoporosis. The best performing cutoffs for correctly selecting men with OP for BMD testing were OST<3 (SE= 75.5%, SP=50.0%, AUROC=0.632), OSTA<3 (SE=73.5%, SP=58.3%, AUROC=0.659), and BWC<75 kg (SE=73.5%, SP=61.3%, AUROC=0.674). Conclusions OP risk assessment tools seem to be useful in men aged 50 or more. Best cutoff values are different from those recommended for postmenopausal women. Different cutoff values may be appropriate for different countries and/or ethnic origins.

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Korean Experience With the OSTA Risk Index for Osteoporosis

Cited by 52 publications

References 9 publications

Development and Validation of an Osteoporosis Self-Assessment Tool for Taiwan (OSTAi) Postmenopausal Women-A Sub-Study of the Taiwan OsteoPorosis Survey (TOPS)

Development and Validation of an Osteoporosis Self-Assessment Tool for Taiwan (OSTAi) Postmenopausal Women-A Sub-Study of the Taiwan OsteoPorosis Survey (TOPS)

The effect of age on the changes in bone mineral density and osteoporosis detection rates in Han Chinese men over the age of 50

Selecting men for bone densitometry: performance of osteoporosis risk assessment tools in Portuguese men

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