BFH-OST, a new predictive screening tool for identifying osteoporosis in postmenopausal Han Chinese women

Ma, Zhao; Yang, Yong; Lin, Jaw-Guei; Xiao-dong, Zhang; Meng, Qian; Wang, Bingqiang; Qi, Fei

doi:10.2147/cia.s107675

Cited by 9 publications

(6 citation statements)

References 25 publications

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“…It was worth mentioning that the prevalence rate of OP in men was not related to age, which was different with previous studies about postmenopausal women. 11 , 26 , 30 Steuart et al designed a study that involved 518 elderly males to evaluate OST in identifying OP and found that an OST index of 6 or lower yielded the AUC of 0.67, a sensitivity of 82.6%, and a specificity of 33.6%, which was similar to this study. 31 OSTA was a screening tool for OP associated with age and weight, and this study suggested that age was a clinical risk factor of OP in elderly males according to worst hip criteria, whereas it had a limiting value in the WHO criteria.…”

Section: Discussionsupporting

confidence: 83%

Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study

Zhang¹,

Lin²,

Yang³

et al. 2018

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PurposeIn this cross-sectional study, three clinical tools, the Osteoporosis Self-Assessment Tool for Asians (OSTA), Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), and body mass index (BMI), for predicting primary osteoporosis (OP) were compared and ideal thresholds for omission of screening BMD were proposed in a community-dwelling elderly Han Beijing male population.Patients and methodsA total of 1,349 community-dwelling elderly Han Beijing males aged ≥50 years were enrolled in this study. All subjects completed a questionnaire and measured BMD by dual-energy X-ray absorptiometry (DXA). Osteoporosis was defined as a T-score of −2.5 SD or lower than that of the average young adult in different diagnostic criteria (lumbar spine [L1–L4], femoral neck, total hip, worst hip, and World Health Organization [WHO]). FRAX without BMD, OSTA, and BMI were assessed for predicting OP by receiver operating characteristic (ROC) curves. Sensitivity, specificity, and areas under the ROC curves (AUCs) were determined. Ideal thresholds for omission of screening BMD were proposed.ResultsThe prevalence of OP ranged from 1.8% to 12.8% according to different diagnostic criteria. This study showed that the BMI has highest discriminating ability. The AUC of FRAX without BMD ranged from 0.536 to 0.630, which suggested limiting predictive value for identifying OP in elderly Beijing male. The AUCs of BMI (0.801–0.880) were slightly better than OSTA (0.722–0.874) in predicting OP at all sites. The AUC of BMI to identify OP in worst hip was 0.824, yielding a sensitivity of 84.8% and a specificity of 64.4%. 40% of participants on BMD measurements saved only 0.1%–2.7% missed OP. Compared to OSTA and FRAX without BMD, the BMI got the best predictive value for OP.ConclusionBMI may be a simple and effective tool for identifying OP in the elderly male population in Beijing to omit BMD screening reasonably.

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Section: Discussionsupporting

confidence: 83%

Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study

Zhang¹,

Lin²,

Yang³

et al. 2018

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“…With the WHO criteria, the prevalence rates of osteopenia and osteoporosis among Han Beijing postmenopausal women were 48.8% and 28.4%, respectively, which was basically consistent with previously reported rates. 12,29 The high prevalence of OP emphasizes the need for a reliable and convenient screening tool to identify Chinese postmenopausal women at risk, because most OP patients are asymptomatic, making the diagnosis easy to be missed. Five different diagnostic criteria (WHO, lumbar spine, worst hip, femoral neck, and total hip criteria) were included in the present analysis, and comparisons were made among these different screening tools.…”

Section: Discussionmentioning

confidence: 99%

“…The prevalence rates of asymptomatic OP (22.66%) and osteopenia (47.36%) among Chinese postmenopausal women were both high in a previous study. 12 Hence, identifying and prescreening OP is important to prioritize individuals at risk of OP for DXA scanning. Results obtained by using credible risk assessment tools could help clinicians decide whether further DXA examination is needed for patients.…”

Section: Introductionmentioning

confidence: 99%

<p>Comparison of OSTA, FRAX and BMI for Predicting Postmenopausal Osteoporosis in a Han Population in Beijing: A Cross Sectional Study</p>

Fan¹,

Li²,

Zhang³

et al. 2020

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Purpose: To validate the efficacies of three screening tools including the Osteoporosis Self-Assessment Tool for Asians (OSTA), Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), and body mass index (BMI) for predicting postmenopausal osteoporosis (OP) and to define the ideal thresholds for avoidance of dual-energy X-ray absorptiometry (DXA) scanning in a Han Chinese population in Beijing. Patients and Methods: A total of 2055 community-dwelling Han Beijing postmenopausal females aged ≥45 years were enrolled in this study. All participants completed a questionnaire, and BMD was measured by DXA. OP was defined by a T-score at least −2.5 SD less than that of average young adults in different diagnostic criteria [lumbar spine, femoral neck, total hip, worst hip, WHO]. The abilities of the OSTA, FRAX, and BMI to predict OP were analyzed by receiver operating characteristic (ROC) curves. Sensitivity, specificity, and area under the ROC curves (AUC) were calculated. Ideal thresholds for identifying OP were proposed. Results: The prevalence of OP ranged from 8.1% to 28.4% according to different diagnostic criteria. The AUC range for the OSTA (0.758-0.849) was similar to the FRAX (0.728-0.855), which revealed that both tools predicted OP reliably. The AUC range for BMI was 0.643-0.682, suggesting limited predictive value. According to WHO criteria, the AUC values for the FRAX for hip fracture risk (FRAX-HF) and for the OSTA were 0.796 and 0.798, with corresponding sensitivities of 74.79% and 69.64% and specificities of 70.45% and 75.07%, respectively. At defined thresholds, the FRAX-HF and OSTA allowed avoidance of DXA in 42.4-37.6% of participants, at a cost of missing only 7.2-8.6% of individuals with OP. Conclusion: The OSTA and FRAX-HF may be reliable and effective tools for identifying postmenopausal OP in the Han Beijing population without BMD.

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“…In this model [ 15 ], only weight and history of the previous fracture were selected in the ultimate model. The new model had been named the Beijing Friendship Hospital Osteoporosis Self-Assessment Tool for Elderly Male (BFH-OSTM) [ 20 ]. The model was calculated using the following formula: …”

Section: Methodsmentioning

confidence: 99%

Beijing Friendship Hospital Osteoporosis Self-Assessment Tool for Elderly Male (BFH-OSTM) vs Fracture Risk Assessment Tool (FRAX) for identifying painful new osteoporotic vertebral fractures in older Chinese men: a cross-sectional study

Lin

2021

BMC Musculoskelet Disord

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Background To compare the validation of four tools for identifying painful new osteoporotic vertebral compression fractures (PNOVCFs) in older Chinese men: bone mineral density (BMD), Asian osteoporosis self-assessment tool (OSTA), World Health Organization fracture risk assessment tool (FRAX) (without BMD) and Beijing Friendship Hospital Osteoporosis Self-Assessment Tool (BFH-OSTM). Methods A cross sectional study was conducted from 2013 to 2019. A total of 846 men aged ≥50 were included and were divided into two groups: Fracture Group (patients with PNOVCFs underwent percutaneous vertebroplasty surgery) and Non-Fracture Group (community dwelled subjects for healthy examination). All subjects accepted a dual-energy X-ray BMD test and a structured questionnaire. The results of BMD, OSTA, FRAX and BFH-OSTM scores were assessed and receiver-operating characteristic (ROC) curves were generated to compare the validity of four tools for identifying PNOVCFs. Optimal cutoff points, sensitivity, specificity, and areas under the ROC curves (AUCs) were determined. Results There were significant differences including BMD T score (femoral neck, total hip and L1-L4), OSTA, FRAX and BFH-OSTM scores between Fracture group and Non-fracture group. Compared to BMD and OSTA, BFH-OSTM and FRAX had better predictive value, the sensitivity, specificity and AUC value are 0.841, 81.29%, 70.67% and 0.796, 74.85%, 78.52%, respectively. Compared with FRAX, the BFH-OSTM has a better AUC value. Conclusions Both BFH-OSTM and FRAX can be used to identify POVCFs, However, BFH-OSTM model may be a more simple and effective tool to identify the risk of POVCFs in Chinese elderly men.

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BFH-OST, a new predictive screening tool for identifying osteoporosis in postmenopausal Han Chinese women

Cited by 9 publications

References 25 publications

Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study

Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study

<p>Comparison of OSTA, FRAX and BMI for Predicting Postmenopausal Osteoporosis in a Han Population in Beijing: A Cross Sectional Study</p>

Beijing Friendship Hospital Osteoporosis Self-Assessment Tool for Elderly Male (BFH-OSTM) vs Fracture Risk Assessment Tool (FRAX) for identifying painful new osteoporotic vertebral fractures in older Chinese men: a cross-sectional study

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