BFH-OSTM, a new predictive screening tool for identifying osteoporosis in elderly Han Chinese males

Lin, Jaw-Guei; Yang, Yong; Zhang, Xiaodong; Ma, Zhao; Wu, Hao; Li, Yongjin; Yang, Xiuquan; Qi, Fei; Ai, Guo

doi:10.2147/cia.s140553

Cited by 8 publications

(10 citation statements)

References 20 publications

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“…The serious complications of OP, including osteoporotic fractures, pain and misshapen bones, are associated with a high cost of treatment and prevention, and pose a major socioeconomic burden (17). Abnormal stimulation of osteoclasts generally results in bone loss, which leads to OP, and this disease is primarily characterized by decreased bone mass and disorders of the bone microstructure (18)(19)(20). Current therapies for OP, such as bone resorption inhibitors and bisphosphonate, are mainly focused on the balance of bone remodeling, which is critical during maintenance and regeneration of bone tissue.…”

Section: Discussionmentioning

confidence: 99%

MicroRNA‑223 promotes osteoblast differentiation of MC3T3‑E1 cells by targeting histone deacetylase 2

Chen

Wang³

et al. 2018

Int J Mol Med

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MicroRNAs (miRNAs) have emerged as pivotal regulators in various physiological and pathological processes at the post-transcriptional level, and may serve important roles in osteogenic differentiation. However, their roles and functions are not fully understood. In the present study, miR-223-5p was identified as a modulator of osteoblastic differentiation in Mc3T3-E1 cells. Reverse transcription-quantitative polymerase chain reaction and western blotting demonstrated that miR-223-5p was significantly upregulated in MC3T3-E1 cells following the induction of osteoblast differentiation. Overexpression of miR-223-5p promoted osteogenic differentiation both in vitro and vivo. Expression of histone deacetylase 2 (HdAc2), which acts as a negative regulator of osteogenesis, was regulated by miR-223-5p. Collectively, the results of the present study revealed a novel miR-223-5p/HdAc2 axis that regulates osteoblast differentiation, and may serve as a potential target for enhancing bone formation in vivo.

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Section: Discussionmentioning

confidence: 99%

MicroRNA‑223 promotes osteoblast differentiation of MC3T3‑E1 cells by targeting histone deacetylase 2

Chen

Wang³

et al. 2018

Int J Mol Med

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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 ].…”

Section: Methodsmentioning

confidence: 99%

“…Previous studies have confirmed that it can well identify male osteoporosis, the BFH-OSTM index (cutoff = 70) had a sensitivity of 85% and specificity of 53% for identifying osteoporosis according to the WHO criteria, with an area under the ROC curve of 0.763. However, is difficult to know whether it has any value in detecting and identifying PNOVCF [ 15 ].…”

Section: Introductionmentioning

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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“…For example, the Khon Kaen Osteoporosis Study (KKOS) (cutoff < −1) scoring system shared a similar performance with OSTA (cutoff < −1) in Thai women (AUC: 0.64 vs. 0.65) [ 31 ]. The Beijing Friendship Hospital Osteoporosis Self-Assessment Tool (BFH-OST) also performed similarly to OSTA (cutoff = −1) in predicting osteoporosis in Chinese Han women and men (AUC: 0.795–0.797 vs. 0.732–0.782), despite having a higher sensitivity (73.58–89.92% vs. 50.42–65.28%) [ 32 , 33 ]. Among the South Indian elderly, the performance of the Male Osteoporosis Risk Estimation Score (MORES) (cutoff = 6) was also equivalent to OSTA (cutoff ≤ 2) (AUC: 0.760 vs. 0.778) [ 34 ].…”

Section: Performance Of Ost Among Asiansmentioning

confidence: 99%

Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis—A Review

Subramaniam

Ima‐Nirwana

Chin

2018

IJERPH

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Bone health screening plays a vital role in the early diagnosis and treatment of osteoporosis to prevent fragility fractures among the elderly and high-risk individuals. Dual-energy X-ray absorptiometry (DXA), which detects bone mineral density, is the gold standard in diagnosing osteoporosis but is not suitable for screening. Therefore, many screening tools have been developed to identify individuals at risk for osteoporosis and prioritize them for DXA scanning. The Osteoporosis Self-assessment Tool (OST) is among the first tools established to predict osteoporosis in postmenopausal women. It can identify the population at risk for osteoporosis, but its performance varies according to ethnicity, gender, and age. Thus, these factors should be considered to ensure the optimal use of OST worldwide. Overall, OST is a simple and economical screening tool to predict osteoporosis and it can help to optimize the use of DXA.

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BFH-OSTM, a new predictive screening tool for identifying osteoporosis in elderly Han Chinese males

Cited by 8 publications

References 20 publications

MicroRNA‑223 promotes osteoblast differentiation of MC3T3‑E1 cells by targeting histone deacetylase 2

MicroRNA‑223 promotes osteoblast differentiation of MC3T3‑E1 cells by targeting histone deacetylase 2

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

Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis—A Review

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