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

An, Ning; Lin, Ji; Qi, Fei

doi:10.1186/s12891-021-04476-2

Cited by 7 publications

(5 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mean height, weight, and BMI were lower in the PNOVFs group than in the control group, whereas the mean age, previous fracture, history of rheumatoid arthritis, and history of glucocorticoid use were higher in the PNOVFs group than in the control group. This finding is consistent with the results of previous studies ( 6 , 15 , 16 ). Conversely, no significant difference was found in parent hip fracture and alcohol consumption between the PNOVF and control groups.…”

Section: Discussionsupporting

confidence: 94%

“…The clinical onset of PNOVFs is often hidden, as affected patients generally only have a history of mild low-energy injuries, or even no trauma history at all. Furthermore, the degree of pain varies greatly, with some patients developing chronic pain, while physical examination often does not reveal any clear localization signs, and it should be noted that some patients complain that the pain site is not consistent with the actual fracture level ( 6 ). These factors may all contribute to mis- and missed diagnosis, especially in communities and primary medical institutions with limited professional experience and equipment.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing

Guo

An²,

Lin³

et al. 2022

Front. Endocrinol.

Self Cite

View full text Add to dashboard Cite

ObjectivesTo validate and compare four tools, the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), Beijing Friendship Hospital Osteoporosis Screening Tool (BFH-OST), Osteoporosis Self-Assessment Tool for Asians (OSTA), and BMD, to identify painful new osteoporotic vertebral fractures (PNOVFs).MethodsA total of 2874 postmenopausal women treated from June 2013 to June 2022 were enrolled and divided into two groups: patients with PNOVFs who underwent percutaneous vertebroplasty (PNOVFs group, n = 644) and community-enrolled females (control group, n = 2230). Magnetic resonance and X-ray imaging were used to confirm the presence of PNOVFs. Dual-energy X-ray absorptiometry was performed to calculate the BMD T-scores. Osteoporosis was diagnosed according to WHO Health Organization criteria. Data on the clinical and demographic risk factors were self-reported using a questionnaire. The ability to identify PNOVFs using FRAX, BFH-OST, OSTA, and BMD scores was evaluated using receiver operating characteristic (ROC) curves. For this evaluation, we calculated the areas under the ROC curves (AUCs), sensitivity, specificity, and optimal cut-off points.ResultsThere were significant differences in FRAX (without BMD), BFH-OST, OSTA, and BMD T-scores (total hip, femoral neck, and lumbar spine) between the PNOVFs and control groups. Compared with BFH-OST, OSTA, and BMD, the FRAX score had the best identifying value for PNOVFs; the AUC of the FRAX score (optimal cutoff =3.6%) was 0.825, while the sensitivity and specificity were 82.92% and 67.09%, respectively.ConclusionFRAX may be the preferable tool for identifying PNOVFs in postmenopausal women, while BFH-OST and OSTA can be applied as more simple screening tools for PNOVFs.

show abstract

Section: Discussionsupporting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing

Guo

An²,

Lin³

et al. 2022

Front. Endocrinol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The R 2 value that represented overall model fitness was 0.833, the sensitivity (%) was 89.42 (84.4–93.3), and the specificity (%) was 95.45 (91.8–97.8) for the predicting of fractures. All these parameters reflected the good performance of the risk prediction model obtained based on this study.This study excluded patients with a history of fractures, which would affect the calculation of FRAX values, so in order to better evaluate the superiority of this new model over the FRAX system, a previously published AUC of FRAX for predicting OVCF 24 was also used and compared with the AUC of the new model. As reported, the AUC of the FRAX system for predicting OVCF was 0.796 (0.768–0.823), and the sensitivity and specificity were 74.85% and 78.52%, respectively.…”

Section: Resultsmentioning

confidence: 99%

Study on Risk Factors of Primary Non‐traumatic OVCF in Chinese Elderly and a Novel Prediction Model

Wen

Zhao

et al. 2022

Orthopaedic Surgery

View full text Add to dashboard Cite

Objective Prevention of fragility fractures is one of the public health priorities worldwide, whilst the incidence of osteoporotic vertebral compression fractures (OVCF) continues to rise and lacks the corresponding accurate prediction model. This study aimed to screen potential causes and risk factors for primary non‐traumatic osteoporotic vertebral compression fractures (NTOVCF) in the elderly by characterizing a patient population with NTOVCF and comparing it with a population of osteoporotic patients. Methods Between January 2013 and January 2022, 208 elderly patients with unequivocal evidence of bone fragility manifested as painful NTOVCF were enrolled, and compared with 220 patients with osteoporosis and no fractures. The demographic data, bone turnover markers, blood routine, serum biochemical values, and radiological findings were investigated. Differences between the fracture and non‐fracture groups were analyzed, and variables significant in univariate analysis and correlation analysis were included in the logistic analysis to build the risk prediction model for osteoporotic vertebral fractures. Univariate analysis using student's t‐tests for continuous variables or a chi‐squared test for categorical variables was conducted to identify risk factors. Results No significant differences were revealed regarding age, gender, BMI, smoking, alcohol consumption, blood glucose, propeptide of type I procollagen (P1NP), and N‐terminal middle segment osteocalcin (N‐MID) (P > 0.05). Parathyroid Hormone (PTH), 25(OH)D, serum albumin (ALB), hemoglobin (HB), bone mineral density (BMD), and cross‐sectional area (CSA) of the paraspinal muscle in the fracture group were significantly lower than those in the control group; however, b‐C‐terminal telopeptide of type I collagen (β‐CTX), total cholesterol (TC), high‐density lipoprotein cholesterol (HDL‐C), non‐prostatic acid phosphatase (NACP), and fatty degeneration ratio (FDR) were significantly higher than those in the control group (P < 0.05). Logistic regression analysis showed that ALB, HB, CSA, and BMD were negatively correlated with NTOVCF, while β‐CTX, HDL‐C, NACP, and FDR were positively correlated with NTOVCF. Conclusion Decreased physical activity, anemia, hypoproteinemia, imbalances in bone metabolism, abnormal lipid metabolism, and degenerative and decreased muscle mass, were all risk factors for OVCF in the elderly, spontaneous fractures may be the consequence of cumulative declines in multiple physiological systems over the lifespan. Based on this risk model, timely detection of patients with high OVCF risk and implementation of targeted preventive measures is expected to improve the effect of fracture prevention.

show abstract

“…The Osteoporosis Self-Assessment Screening Tool for Asians (OSTA) is simple and effective screening tools for identifying osteoporosis for post-menopausal women, which also performances well in elderly males. 12 , 13 Although OSTA only includes two factors (age and weight), some validation studies show that compared to other complicated tools, OSTA is more effective. Some researchers have proven that OSTA is useful for diagnosing osteoporosis in Beijing elderly men, especially at the femoral neck site.…”

Section: Introductionmentioning

confidence: 99%

Validation of Three Tools for Estimating the Risk of Primary Osteoporosis in an Elderly Male Population in Beijing

Lin¹,

Guo²,

Zuo³

et al. 2023

CIA

Self Cite

View full text Add to dashboard Cite

Purpose This cross-sectional study estimated three clinical tools including the Osteoporosis Self-Assessment Tool for Asians (OSTA), Body Mass Index (BMI), and Beijing Friendship Hospital Osteoporosis Self-assessment Tool for Elderly Male (BFH-OSTM) for identifying primary osteoporosis and found optimal cut-off values in an elderly Han Beijing male population. Materials and Methods We conducted a cross-sectional study, enrolling 400 community-dwelling elderly Han Beijing males aged ≥50 from 8 medical institutions. Osteoporosis was diagnosed as a T-score of −2.5 standard deviations or lower than that of the average young adult in different diagnostic criteria [lumbar spine (L1-L4), femoral neck, total hip, WHO]. BFH-OSTM, OSTA, and BMI were assessed for predicting OP by receiver operating characteristic (ROC) curves. Sensitivity, specificity, and areas under the ROC curves (AUC) were determined. Ideal thresholds for the omission of screening BMD were proposed. Results The prevalence of osteoporosis ranged from 9.25% to 19.0% according to different diagnostic criteria. The present study indicated the highest discriminating ability was BFH-OSTM in different criteria. The AUCs of OSTA and BMI were 0.748 and 0.770 in WHO criteria, which suggested limiting predictive value for identifying OP in elderly Beijing males. The AUC of BFH-OSTM to predict OP based on WHO criteria was 0.827, yielding a sensitivity of 65.8% and specificity of 82.7%, respectively. With a cost of missing 6.5% of osteoporosis patients, BFH-OSTM could reduce 73.5% of participants in screening BMD tests. Conclusion BFH-OSTM may be a simple and effective tool for identifying OP in the elderly male population in Beijing to omit BMD screening reasonably.

show abstract

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

Cited by 7 publications

References 31 publications

Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing

Comparison of four tools to identify painful new osteoporotic vertebral fractures in the postmenopausal population in Beijing

Study on Risk Factors of Primary Non‐traumatic OVCF in Chinese Elderly and a Novel Prediction Model

Validation of Three Tools for Estimating the Risk of Primary Osteoporosis in an Elderly Male Population in Beijing

Contact Info

Product

Resources

About