Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia

Development and validation of a predictive model for vertebral fracture risk in osteoporosis patients

OBJECTIVE

This study aimed to develop and validate a predictive model for osteoporotic vertebral fractures (OVFs) risk by integrating demographic, bone mineral density (BMD), CT imaging, and deep learning radiomics features from CT images.

METHODS

A total of 169 osteoporosis-diagnosed patients from three hospitals were randomly split into OVFs (n = 77) and Non-OVFs (n = 92) groups for training (n = 135) and test (n = 34). Demographic data, BMD, and CT imaging details were collected. Deep transfer learning (DTL) using ResNet-50 and radiomics features were fused, with the best model chosen via logistic regression. Cox proportional hazards models identified clinical factors. Three models were constructed: clinical, radiomics-DTL, and fusion (clinical-radiomics-DTL). Performance was assessed using AUC, C-index, Kaplan-Meier, and calibration curves. The best model was depicted as a nomogram, and clinical utility was evaluated using decision curve analysis (DCA).

RESULTS

BMD, CT values of paravertebral muscles (PVM), and paravertebral muscles' cross-sectional area (CSA) significantly differed between OVFs and Non-OVFs groups (P < 0.05). No significant differences were found between training and test cohort. Multivariate Cox models identified BMD, CT values of PVM, and CSAPS reduction as independent OVFs risk factors (P < 0.05). The fusion model exhibited the highest predictive performance (C-index: 0.839 in training, 0.795 in test). DCA confirmed the nomogram's utility in OVFs risk prediction.

CONCLUSION

This study presents a robust predictive model for OVFs risk, integrating BMD, CT data, and radiomics-DTL features, offering high sensitivity and specificity. The model's visualizations can inform OVFs prevention and treatment strategies.

Real world fracture prediction of fracture risk assessment tool (FRAX), osteoporosis self-assessment tool for Asians (OSTA) and one-minute osteoporosis risk test: An 11-year longitudinal study

Introduction

Fractures affect people's quality of life especially in the elders. One of the most important risk factors is osteoporosis. There are many screening tools to predict osteoporosis and fractures. We aimed to compare the predictive validity of three commonly used screening tools: fracture risk assessment tool (FRAX), osteoporosis self-assessment tool for Asians (OSTA) and one-minute osteoporosis risk test. Among them, OSTA and one-minute osteoporosis risk test were originally developed to predict osteoporosis risks and FRAX was to predict fracture risks.

Methods

This is an 11-year longitudinal study. We enrolled 708 senior people from health examinees in Taiwan in 2010. A standardized questionnaire and blood tests were provided. Annual telephone interview was conducted to assess the real fracture status. We calculated risk scores of FRAX, OSTA, and one-minute osteoporosis risk test and compared with real-world fracture records.

Results

The mean age of the participants were 74.9 (SD 6.4). There were 356 (50.3 %) men. From 2010 to 2020, a total of 105 (14.8 %) persons suffered from fractures. Compared to people without fractures, people with fractures had higher FRAX major osteoporotic fracture risk scores (14.0 % ± 7.6 % vs.11.3 % ± 5.7 %), higher hip fracture risk scores, and higher OSTA risk (5.9 % ± 1.4 % vs. 5.3 % ± 1.3 %). Cox regression analysis showed that hazard ratios for fracture of high FRAX risk was 1.53 (95 % confidence interval (CI) 1.05-2.21), and for high OSTA risk was 1.37 (95 % CI 1.04-1.82).

Conclusions

Only OSTA and FRAX scores were satisfactory in predicting 10-year fractures.

Fragility Score: a REMS-based indicator for the prediction of incident fragility fractures at 5 years

BACKGROUND

Accurate estimation of the imminent fragility fracture risk currently represents a challenging task. The novel Fragility Score (FS) parameter, obtained during a Radiofrequency Echographic Multi Spectrometry (REMS) scan of lumbar or femoral regions, has been developed for the non-ionizing estimation of skeletal fragility.

AIMS

The aim of this study was to assess the performance of FS in the early identification of patients at risk for incident fragility fractures with respect to bone mineral density (BMD) measurements.

METHODS

Data from 1989 Caucasians of both genders were analysed and the incidence of fractures was assessed during a follow-up period up to 5 years. The diagnostic performance of FS to discriminate between patients with and without incident fragility fracture in comparison to that of the BMD T-scores measured by both Dual X-ray Absorptiometry (DXA) and REMS was assessed through ROC analysis.

RESULTS

Concerning the prediction of generic osteoporotic fractures, FS provided AUC = 0.811 for women and AUC = 0.780 for men, which resulted in AUC = 0.715 and AUC = 0.758, respectively, when adjusted for age and body mass index (BMI). For the prediction of hip fractures, the corresponding values were AUC = 0.780 for women and AUC = 0.809 for men, which became AUC = 0.735 and AUC = 0.758, respectively, after age- and BMI-adjustment. Overall, FS showed the highest prediction ability for any considered fracture type in both genders, resulting always being significantly higher than either T-scores, whose AUC values were in the range 0.472-0.709.

CONCLUSION

FS displayed a superior performance in fracture prediction, representing a valuable diagnostic tool to accurately detect a short-term fracture risk.

Development and validation of the Chinese osteoporosis screening algorithm (COSA) in identification of people with high risk of osteoporosis

Objectives

To enhance the public awareness and facilitate diagnosis of osteoporosis, we aim to develop a new Chinese Osteoporosis Screening Algorithm (COSA) to identify people at high risk of osteoporosis.

Methods

A total of 4747 postmenopausal women and men aged ≥ 50 from the Hong Kong Osteoporosis Study were randomly split into a development (N = 2373) and an internal validation cohort (N = 2374). An external validation cohort comprising 1876 community-dwelling subjects was used to evaluate the positive predictive value (PPV).

Results

Among 11 predictors included, age, sex, weight, and history of fracture were significantly associated with osteoporosis after correction for multiple testing. Age- and sex-stratified models were developed due to the presence of significant sex and age interactions. The area under the curve of the COSA in the internal validation cohort was 0.761 (95% CI, 0.711-0.811), 0.822 (95% CI, 0.792-0.851), and 0.946 (95% CI, 0.908-0.984) for women aged < 65, women aged ≥ 65, and men, respectively. The COSA demonstrated improved reclassification performance when compared to Osteoporosis Self-Assessment Tool for Asians. In the external validation cohort, the PPV of COSA was 40.6%, 59.4%, and 19.4% for women aged < 65, women aged ≥ 65, and men, respectively. In addition, COSA > 0 was associated with an increased 10-year risk of hip fracture in women ≥ 65 (OR, 4.65; 95% CI, 2.24-9.65) and men (OR, 11.51; 95% CI, 4.16-31.81).

Conclusions

We have developed and validated a new osteoporosis screening algorithm, COSA, specific for Hong Kong Chinese.

Ten existing osteoporosis prediction tools for the successful application of National Health Insurance-reimbursed anti-osteoporosis medications in long-term care residents in Taiwan

BACKGROUND/PURPOSE

Osteoporotic fracture introduce enormous societal and economic burden, especially for long-term care residents (LTCRs). Although osteoporosis prevention for LTCRs is urgently needed, obstacles such as frail status and inconvenient hospital visits hurdled them from necessary examinations and diagnoses. We aimed to test 10 existing osteoporosis screening tools (OSTs), which can be easily used in institutions and serve as a prediction, for accurately determining the outcome of a Taiwan's National Health Insurance (NHI)-reimbursed anti-osteoporosis medications (AOMs) application for LTCRs.

METHODS

This prospective analysis recruited 444 patients from LTC institutions between October 2018 and November 2019. Predictions of whether the NHI-reimbursed AOMs criteria was met were tested for 10 OSTs. The results of OSTs categorized into self-reported or validated based on previous fracture history were self-reported by LTCRs or validated by imaging data and medical records, respectively. The receiver operating characteristic curve and the optimal cut-off points for LTCRs based on Youden's index were explored.

RESULTS

Overall, the validated OSTs had a higher positive predictive value (PPV) and negative predictive value (NPV) summation than the corresponding reported OSTs. The validated FRAX-Major was the best OST (PPV = 63.6%, NPV = 82.4% for the male group and, PPV = 78.8%, NPV = 90.0% for the female group). After applying the optimum cut-off derived from Youden's index, the validated FRAX-Major (PPV = 75.4%, NPV = 92.0%)) remained performed best for men. In female population, validated FRAX-Major (PPV = 87.2%, NPV = 84.1%) and validated osteoporosis prescreening risk assessment (OPERA; PPV = 96.1%, NPV = 79.7%)) both provided good prediction results.

CONCLUSION

FRAX-Major and OPERA have better prediction ability for LTCRs to acquire NHI-reimbursed AOMs. The validated fracture history and adjusted cut-off points could prominently increase the PPV during prediction.

Study epidemiology of risk fracture in osteoporosis based on frax score, and osta score, with risk of fall using Ontario score in elderly Indonesia

Background:

Osteoporosis is characterized by a low bone mass of bone tissue. If osteoporosis is not treated properly, it will increase the high risk of fracture. The common causes of fracture on osteoporosis condition due to falls. This study aims to find the correlation between the risk of osteoporosis with fall risk (ONTARIO) based on osteoporosis fracture risk (FRAX)

Methods:

This study is an analytic study with a cross-sectional method. We collected the sample using random cluster sampling in the six primary health care in Malang on different times service since August–September 2021. Total patient 139, however only 132 patients were included in this study. After collecting data is complete, we analyze using Chi-square tests.

Results:

The mean age of participants was 63.9 ± 7.14. with the age group was dominated by the range of 60–64. It was found that the result of the FRAX SCORE had a low-risk category for major fracture osteoporosis and risk hip fracture. In contrast, from the OSTA score in this study, more than 68 participants (50.8%) were found medium and high-risk scores. Then, in ONTARIO score of the risk fall assessment, and high score in 57 participants (43.2%). If compared between OSTA and ONTARIO, there was a significant relationship between OSTA score and ONTARIO score (p < 0.000) with high-risk OSTA have a significant relationship with a high risk of falling and vice versa.

Conclusion:

In this study, there was a relationship between the risk of high osteoporosis and the risk of falling.

Screening and management of osteoporosis: a survey of knowledge, attitude and practice among primary care physicians in Malaysia

We surveyed primary care physicians in Malaysia for their knowledge, attitude and practice in screening and managing osteoporosis. We found a low level of screening and active management of osteoporosis in the primary care setting despite positive attitudes towards them. We advocate for the active management of osteoporosis at the primary care level.

INTRODUCTION

Prevention of osteoporotic fracture is important in primary healthcare for healthy ageing. Little is known about the knowledge, attitude, practice and barriers in the screening and managing osteoporosis among primary care doctors.

METHODS

A cross-sectional study, using an online pre-tested questionnaire after face and content validation, was conducted for primary care doctors from 1 June to 30 July 2021 across Malaysia. Pearson's chi-square test and logistic regression were employed.

RESULTS

A total of 350 primary care doctors in Malaysia, consisting of 113 (32.3%) family medicine specialists (FMS) and 237 (67.7%) medical officers, participated in this study. The mean ± SD score of osteoporosis knowledge was 50.46 ± 15.09 with minimum and maximum values of 0 and 83.64%, respectively. One hundred and ten (31.4%) respondents achieved a satisfactory overall knowledge score of ≥ 60%, 156 (44.6%) were confident in advising patients for initiation of anti-osteoporotic medication, and 243 (69.4%) perceived that bisphosphonate should be made available in health clinics. Only 97 (27.7%) practised osteoporosis screening. Inaccessibility of bone mineral densitometry (BMD) (90.6%), inadequate knowledge (87.7%) and inaccessibility of pharmacotherapy (87.1%) are perceived modifiable barriers to osteoporosis screening and management. Factors associated with a satisfactory knowledge of osteoporosis are designation as a family medicine specialist (AOR 3.034, p = 0.002), attendance at an osteoporosis management update course (AOR 2.095, p = 0.034) and the practice of osteoporosis screening for the elderly (AOR 2.767, p = 0.001).

CONCLUSION

Given the insufficient knowledge and low level of osteoporosis screening, there is a need for a national structured health programme to address the knowledge gap, increase screening practices and enhance accessibility to BMD and anti-osteoporosis medication in primary care.

Evaluation of community-based screening tools for the early screening of osteoporosis in postmenopausal Vietnamese women

Background

Osteoporosis affects people worldwide. However, there are few validated tools for the early screening of osteoporosis in Vietnam. We set out to evaluate the performance of the osteoporosis self-assessment tool for Asians (OSTA) and the osteoporosis screening tool for Chinese (OSTC) for the early screening of osteoporosis in postmenopausal Vietnamese women.

Methods

We analyzed retrospective data from 797 postmenopausal Vietnamese women. The bone mineral density (BMD) in the lumbar vertebrae (L1–L4) and the left and right femoral necks of all participants were measured using dual-energy X-ray absorptiometry (DXA). Osteoporosis was defined as the BMD (T-score) < -2.5. The OSTA and OSTC scores were calculated from the age and weight of participants. Receiver operating characteristic analysis was conducted to compare the performance of the two tools with the BMD measurements by DXA at different anatomical sites.

Results

The rates of osteoporosis determined by BMD varied between anatomical sites, and ranged from 43.4% to 54.7% in the lumbar vertebrae and 29.2% and 8.9% in the left and right femoral necks, respectively. For the vertebrae, the area under the curve (AUC) for OSTA ranged from 70.9% to 73.9% and for OSTC ranged from 68.7% to 71.6%. The predictive value of both tools was higher for femoral necks, with the AUC of OSTA for the left and right femoral necks being 80.0% and 85.8%, respectively. The corresponding figures for OSTC were 80.5% and 86.4%, respectively. The highest sensitivity and specificity of OSTA were 74.6% and 81.4%, while these figures for OSTC were 73.9% and 82.6%, respectively.

Conclusion

OSTA and OSTC were shown to be useful self-assessment tools for osteoporosis detection in Vietnam postmenopausal women. Further research is encouraged to determine the applicability of tools for other populations and settings.

Utility of Osteoporosis Self-Assessment Tool as a Screening Tool for Osteoporosis in Irish Men and Women: Results of the DXA-HIP Project

Many algorithms have been developed and publicised over the past 2 decades for identifying those most likely to have osteoporosis or low BMD, or at increased risk of fragility fracture. The Osteoporosis Self-assessment Tool index (OSTi) is one of the oldest, simplest, and widely used for identifying men and women with low BMD or osteoporosis. OSTi has been validated in many cohorts worldwide but large studies with robust analyses evaluating this or other algorithms in adult populations residing in the Republic of Ireland are lacking, where waiting times for public DXA facilities are long. In this study we evaluated the validity of OSTi in men and women drawn from a sampling frame of more than 36,000 patients scanned at one of 3 centres in the West of Ireland. 18,670 men and women aged 40 years and older had a baseline scan of the lumbar spine femoral neck and total hip available for analysis. 15,964 (86%) were female, 5,343 (29%) had no major clinical risk factors other than age, while 5,093 (27%) had a prior fracture. Approximately 2/3 had a T-score ≤-1.0 at one or more skeletal sites and 1/3 had a T-score ≤-1.0 at all 3 skeletal sites, while 1 in 5 had a DXA T-score ≤-2.5 at one or more skeletal sites and 5% had a T-score ≤-2.5 at all 3 sites. OSTi generally performed well in our population with area under the curve (AUC) values ranging from 0.581 to 0.881 in men and 0.701 to 0.911 in women. The performance of OSTi appeared robust across multiple sub-group analyses. AUC values were greater for women, proximal femur sites, those without prior fractures and those not taking osteoporosis medication. Optimal OSTi cut-points were '2' for men and '0' for women in our study population. OSTi is a simple and effective tool to aid identification of Irish men and women with low BMD or osteoporosis. Use of OSTi could improve the effectiveness of DXA screening programmes for older adults in Ireland.

A pilot screening study for low bone mass in Singaporean women using years since menopause and BMI

OBJECTIVE

Current risk assessment tools for osteoporosis have inconsistent performance across different cohorts, making them difficult for clinical practice. This study aimed to evaluate a simple screening index comprising years since menopause (YSM) and body mass index (BMI) that identifies postmenopausal Singaporean women with a greater likelihood of low bone mass.

METHODS

The study used data from 188 treatment-naïve postmenopausal women. The associations between low bone mass and different demographic variables, including age, YSM and BMI, were assessed using multivariable logistic regression. Diagnostic performance of the calculated screening index was compared to the Osteoporosis Self-Assessment Tool for Asians (OSTA) and the Fracture Risk Assessment Tool (FRAX^®).

RESULTS

YSM and BMI were significantly associated with low bone mass. The area under the receiver operating characteristic curves was 0.803 for the screening index, 0.759 for the OSTA, 0.683 for the FRAX^® (major osteoporotic fracture probability [MOFP]) and 0.647 for the FRAX^® (hip fracture probability [HFP]). Non-parametric Spearman's correlation between the screening index and the other models was 0.857 with the OSTA score, 0.694 with the FRAX^® (HFP) and 0.565 with the FRAX^® (MOFP) (p < 0.0005).

CONCLUSIONS

The diagnostic performance of the screening index comprising YSM and BMI was equivalent to the OSTA and the FRAX^®. A risk chart was developed for clinicians to identify and recommend subjects for a further dual-energy X-ray absorptiometry scan. Validation of this model in larger and more diverse cohorts is required.

Assessing the knowledge, attitude and practice of osteoporosis among Singaporean women aged 65 years and above at two SingHealth polyclinics

INTRODUCTION

Singapore has one of the world's most rapidly ageing populations. Osteoporosis is associated with significant morbidity and mortality from hip fractures in the elderly. This pilot study aims to evaluate the knowledge, attitude and practice of osteoporosis among Singaporean women aged ≥ 65 years, and assess barriers to osteoporosis screening.

METHODS

We conducted a cross-sectional survey of 99 English-speaking women aged ≥ 65 years at two SingHealth polyclinics by convenience sampling. The validated Osteoporosis Prevention and Awareness Tool was used to assess their knowledge about osteoporosis prevention and awareness and perceived barriers to osteoporosis screening. Osteoporosis health education was provided, and bone mineral density (BMD) screening was offered to all participants.

RESULTS

The response rate was 91.6%. The majority of the participants (54.5%) had low knowledge of osteoporosis, and only 12.1% had high knowledge scores. Higher education levels were associated with higher knowledge scores (p = 0.018). Although participants with higher knowledge scores were more willing to undergo osteoporosis screening, these findings did not reach statistical significance (p = 0.067). The top reasons for declining BMD testing were misconceptions that lifestyle management is sufficient to prevent osteoporosis, poor awareness and knowledge of the disease, and the perceived high cost of BMD testing.

CONCLUSION

Interventions should focus on osteoporosis education and, eventually, BMD screening for less-educated patients. Health education should rectify common misconceptions of the disease, increase awareness of osteoporosis and improve screening rates.

Cost-effectiveness of FRAX®-based intervention thresholds for management of osteoporosis in Singaporean women

Cost-effectiveness analysis of FRAX® intervention thresholds (ITs) in Singaporean women > 50 years of age showed that generic alendronate was cost-effective at age-dependent major osteoporotic fracture (MOF) IT from the ages of 65 years for both full and real-world adherence whilst hip fracture (HF) ITs were cost-effective from the ages of 60 and 65 years. Alendronate was cost-effective irrespective of age only at fixed MOF IT of 14% and HF IT of 3.5%.

INTRODUCTION

FRAX®-based intervention thresholds (ITs) were recently identified for osteoporosis management in Singapore. This study aimed to assess the cost-effectiveness of ITs in Singaporean women over the age of 50 years.

METHODS

A validated Markov microsimulation model was used to estimate the lifetime healthcare costs (SGD2019) per quality-adjusted life-years (QALY) of generic alendronate compared with no treatment. Cost-effectiveness of age-dependent FRAX® major osteoporotic fracture (MOF) and hip fracture (HF) ITs was explored. In addition, ITs that would lead to cost-effectiveness were computed. Fracture incidence and cost data were obtained from the Ministry of Health and a previously published Singaporean study. A cost-effectiveness threshold of SGD 62,500/QALY gained was used, based conservatively on 0.7 times the Singapore GDP per capita.

RESULTS

Generic alendronate was shown to be cost-effective at MOF ITs from the ages of 65 years, while HF ITs were cost-effective from the ages of 60 and 65 years, assuming full and real-world adherence, respectively. A 14% MOF and a 3.5% HF ITs were required for alendronate to be cost-effective above 50 years.

CONCLUSION

This study suggests that the treatment of Singaporean women with alendronate is cost-effective at age-dependant FRAX® intervention thresholds at 65 years and older. Furthermore, identifying women at any age above 50 years with a 10-year risk of MOF or HF of 14% or 3.5% would lead to efficient use of resources. Cost-effective access to therapy for patients at high fracture probability based on FRAX® could contribute to reduce the growing burden of osteoporotic fractures in Singapore.