Osteoporosis Self-Assessment Tool For Asians Research Articles

Assessing the utility of osteoporosis self-assessment tool for Asians in patients undergoing hip surgery

ObjectivesDiagnosis and treatment of osteoporosis are instrumental in obtaining good outcomes of hip surgery. Measuring bone mineral density (BMD) using dual-energy X-ray absorptiometry (DXA) is the gold standard for diagnosing osteoporosis. However, due to limited access to DXA, there is a need for a screening tool to identify patients at a higher risk of osteoporosis. We analyzed the potential utility of the Osteoporosis Self-assessment Tool for Asians (OSTA) as a screening tool for osteoporosis. MethodsA total of 1378 female patients who underwent hip surgery at 8 institutions were analyzed. For each patient, the BMD of the proximal femoral region was measured by DXA (DXA-BMD), and the correlation with OSTA score (as a continuous variable) was assessed. Receiver operating characteristic (ROC) curve analysis was performed to assess the ability of OSTA score to predict osteoporosis. Lastly, the OSTA score was truncated to yield an integer (OSTA index) to clarify the percentage of patients with osteoporosis for each index. ResultsDXA-BMD showed a strong correlation with OSTA (r = 0.683; P < 0.001). On ROC curve analysis, the optimal OSTA score cut-off value of −5.4 was associated with 73.8% sensitivity and 80.9% specificity for diagnosis of osteoporosis (area under the curve: 0.842). A decrease in the OSTA index by 1 unit was associated with a 7.3% increase in the probability of osteoporosis. ConclusionsOSTA is a potentially useful tool for screening osteoporosis in patients undergoing hip surgery. Our findings may help identify high-risk patients who require further investigation using DXA.

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

IntroductionFractures 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. MethodsThis 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. ResultsThe 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). ConclusionsOnly OSTA and FRAX scores were satisfactory in predicting 10-year fractures.

The performance of osteoporosis self-assessment tool for Asians (OSTA) in assessing the risk of osteoporosis in postmenopausal women aged 45 years and older

Objectives: Application of the OSTA (Osteoporosis Self-Assessment Tool for Asians) in assessing the risk of osteoporosis in postmenopausal women aged 45 years and older; Evaluation of the relationship between OSTA and bone mineral density measured by dual-energy X-ray absorptiometry (DEXA). Subjects and methods: A cross-sectional descriptive study was performed on 430 postmenopausal women aged 45 years and older who were treated at Hue University of Medicine and Pharmacy Hospital from 9/2021 to 6/2022. Bone mineral density was measured by dual-energy X-ray absorptiometry (DEXA). Diagnosis and classification of osteoporosis are based on the T-score (WHO 1994). Calculating the OSTA according to the formula: OSTA = 0.2 x [weight (kg) - age (years)]. Results: The average OSTA value is -2.97 ± 3.35, the minimum value is -12.8, and the maximum value is 7.0. Osteoporosis risk ratios according to the OSTA (using cut-offs 0 and -3) were: high risk (46.1%), moderate risk (35.3%), and low risk (18.6%). The predictive value of osteoporosis risk of the OSTA was ranked as good with the area under the curve (AUC) of 0.823 (p &lt; 0.001). At cut-off -3, the OSTA has a sensitivity of 70.3%, and a specificity of 78.4%. At cut-off 0, the OSTA has a sensitivity of 96.8%, and a specificity of 33.1%. The prevalence of osteoporosis in the high-, intermediate- and low-risk groups (using cut-offs 0 and -3) was 69.2%, 28.3%, and 6.3%, respectively. Conclusion: OSTA can be used as a simple and convenient tool for self-assessment or screening for osteoporosis risk. Key words: OSTA, osteoporosis, post-menopause.

Fracture risk prediction in old Chinese people-a narrative review.

With aging, the burden of osteoporotic fracture (OF) increases substantially, while China is expected to carry the greatest part in the future. The risk of fracture varies greatly across racial groups and geographic regions, and systematically organized evidence on the potential predictors for fracture risk is needed for Chinese. This review briefly introduces the epidemiology of OF and expands on the predictors and predictive tools for the risk of OF, as well as the challenges for their potential translation in the old Chinese population. There are regional differences of fracture incidence among China. The fracture incidences in Hong Kong and Taiwan have decreased in recent years, while it is still increasing in mainland China. Although the application of dual-energy X-ray absorptiometry (DXA) is limited among old Chinese in the mainland, bone mineral density (BMD) by DXA has a predictive value similar to that worldwide. Other non-DXA modalities, especially heel QUS, are helpful in assessing bone health. The fracture risk assessment tool (FRAX) has a good discrimination ability for OFs, especially the FRAX with BMD. And some clinical factors have added value to FRAX, which has been verified in old Chinese. In addition, although the application of the osteoporosis self-assessment tool for Asians (OSTA) in Chinese needs further validation, it may help identify high-risk populations in areas with limited resources. Moreover, the translation use of the muscle quality and genetic or serum biomarkers in fracture prediction needs further works. More applicable and targeted fracture risk predictors and tools are still needed for the old Chinese population.

Development and validation of osteoporosis risk assessment score in patients with heart failure: comparison with the osteoporosis self-assessment tool for Asians.

Osteoporosis is prevalent and is associated with poor prognosis in patients with heart failure (HF). However, bone mineral density measurement by a dual-energy X-ray absorptiometry (DEXA) scan is not always available in a daily clinical setting or large-scale population-based studies. A single-centre, cross-sectional observational study was conducted with 387 patients [median age: 77 years (interquartile range: 68-83 years); 37% women]. Bone mineral densities were measured by DEXA scans, and osteoporosis was diagnosed as ≤-2.5 standard deviation of the bone mineral densities in healthy young adults. Osteoporosis risk assessment score (ORAS) was developed using significant predictors from a logistic regression model for osteoporosis and was subsequently validated. Osteoporosis was found in 103 (27%) of the 387 HF patients. Multivariate logistic regression analyses yielded the ORAS based on sex, body mass index, handgrip strength, and anti-coagulant therapy utilization. The C-index of ORAS in the developmental set (0.796, 95% confidence interval: 0.747-0.845) was similar to the bootstrap validation of the prediction model (0.784) and tended to be higher than that of the osteoporosis self-assessment tool for Asians (OSTA). A nomogram of ORAS, established on the basis of the final logistic regression model, demonstrated 100% sensitivity at the lowest score (35 points), with an optimal cut-off point of 127 points, yielding 85% sensitivity and 62% specificity. Osteoporosis risk assessment score exhibits superior predictive performance to OSTA in predicting osteoporosis in HF patients, establishing itself as a valuable tool for early detection in both daily clinical practice and large-scale population-based studies.

Incidence of and Risk Factors for Screw Loosening after Iliosacral Screw Fixation for Posterior Pelvic Ring Injury.

Screw loosening is a common complication of iliosacral screw fixation, with subsequent loss of stability and fracture re-displacement. This study aimed to investigate the incidence of and risk factors for screw loosening after iliosacral screw fixation for posterior pelvic ring injury. A total of 135 patients with posterior pelvic ring injuries who were treated with iliosacral screw fixation in our department between July 2015 and April 2021 were selected for this retrospective analysis. The possible risk factors for screw loosening were investigated using univariate and multivariate logistic regression analyses of patient demographics and trauma-related and iatrogenic variables, including age, sex, body mass index, Osteoporosis Self-Assessment Tool for Asians (OSTA) index, mechanism of injury, Young-Burgess classification, site of injury, type of injury, type of screw, mode of fixation, numbers of guidewire adjustments, accuracy of screw position, and quality of fracture reduction. The incidence of screw loosening was 15.6% (n = 21). The mean duration for screw loosening was 3.2 ± 1.5 months after operation. Univariate analysis results showed that the Young-Burgess classification, type of injury, site of injury, type of screw, mode of fixation, and OSTA index might be related to screw loosening (p < 0.05). According to the multivariate logistic regression, vertical shear injuries (Odds ratios [OR] 9.80, 95% Confidence intervals [CI] [1.96-73.28], p = 0.008), type of injury (OR 0.25, 95% CI [0.13-0.79], p = 0.027), common screws (OR 6.94, 95% CI [1.53-31.40], p = 0.012), screws insertion only at the level of the first sacral segment (S1) (OR 8.79, 95% CI [1.18-65.46], p = 0.034), injury site located in the medial sacral foramina (OR 6.28, 95% CI [1.16-34.06], p = 0.033), and lower OSTA index [OR 0.41, 95% CI [0.24-0.71], p = 0.001] were significantly related to screw loosening. Vertical shear injuries, sacral fractures, injury site located in the medial sacral foramina, and lower OSTA index are significantly associated with the postoperative occurrence of screw loosening. Transiliac-transsacral screw fixation and screws insertion both at the level of the S1 and second sacral segment can prevent screw loosening.

Analysis of Influencing Factors of Vertebral Height Loss After Pedicle Screw Fixation of Thoracolumbar Fracture.

Retrospective case-control study. To explore the related factors of vertebral height loss (VHL) after pedicle screw fixation of thoracolumbar fracture and to determine the optimum prediction point. With the widespread application of thoracolumbar fracture internal fixation, VHL after the operation is increasingly presented. However, there is no unified conclusion on the specific cause of VHL and how to predict it. A total of 186 patients were selected and divided into the loss group (n = 72) and the not-loss group (n = 114) according to whether the fractured vertebral height was lost after the operation. The two groups were compared concerning sex, age, body mass index, osteoporosis self-assessment tool for Asians (OSTA), fracture types, number of fractured vertebrae, preoperative Cobb angle and compression degree, number of screws, and extent of vertebral restore. Univariate analysis and Multivariate logistic regression analysis were performed to identify the independent factors for the VHL with the receiver operating characteristic curve and the optimal prediction value was calculated according to area under the curve. Multivariate logistic regression analysis showed that OSTA ( P < 0.05) and preoperative vertebral compression ( P < 0.05) were significantly correlated with postoperative VHL, which were independent risk factors for postoperative VHL. The OSTA of 2.32 and the preoperative vertebral compression degree of 38.5% were the best prediction points for postoperative VHL based on the Youden Index analysis. The OSTA and preoperative vertebral compression were independent risk factors for VHL. The risk of postoperative VHL was significantly higher when the OSTA was ≤2.32 or the preoperative vertebral compression was ≥38.5%. Level III.

Development and Validation of a New Clinical Diagnostic Screening Model for Osteoporosis in Postmenopausal Women.

Age and weight are not only strong predictive parameters for osteoporosis diagnosis but can also be easily acquired from patients. This study aimed to develop and validate a new diagnostic screening model for postmenopausal osteoporosis that uses only 2 parameters, viz., age and weight. The discriminative ability of the model was analyzed and compared with that of the osteoporosis self-assessment tool for Asians (OSTA) index. The age-weight diagnostic screening model was developed using a retrospective chart review of postmenopausal women aged ≥50 years who underwent dual energy X-ray absorptiometry at a tertiary hospital from November 2017 to April 2022. Logistic regression analysis was used to derive a diagnostic screening model for osteoporosis. A total of 533 postmenopausal women were included in the study. According to the highest Youden index value, a probability cut-off value of 0.298 was used in the diagnosis screening model at any site, which yielded a sensitivity of 84.3% and a specificity of 53.8%. For increased sensitivity as a screening tool, a cut-off value of 0.254 was proposed to obtain a sensitivity of 90.2% and a specificity of 42.2%. The area under receiver operating characteristic curves from all screening models were significantly higher than those from the OSTA index model (p<0.05). This study showed the feasibility of a postmenopausal osteoporosis diagnostic screening model that uses 2 strong predictors for osteoporosis diagnosis: age and weight. This age-weight diagnostic model is a simple, effective option in postmenopausal osteoporosis screening.

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

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. 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. 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. BFH-OSTM may be a simple and effective tool for identifying OP in the elderly male population in Beijing to omit BMD screening reasonably.

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

ObjectivesTo 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. MethodsA 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). ResultsAmong 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). ConclusionsWe have developed and validated a new osteoporosis screening algorithm, COSA, specific for Hong Kong Chinese.

Correlations of the Osteoporosis Self-Assessment Tool for Asians (OSTA) and Three Panoramic Indices Using Quantitative Ultrasound (QUS) Bone Densitometry.

This study aimed to evaluate the correlation between the Osteoporosis Self-Assessment Tool for Asians (OSTA) and three panoramic indices in relation to z-score and t-score values using quantitative ultrasound (QUS) bone densitometry. The sensitivity, specificity, and area under the curve (AUC) of the OSTA index were also measured using the QUS tool to evaluate the method's performance in identifying people at risk of osteoporosis. The study employed a cross-sectional design with 387 participants (190 men, 197 women). Patients' mandibular cortical indexes (MCI), mandibular cortical widths (MCW), and panoramic mandibular indexes (PMI) were measured from panoramic images. The sensitivity, specificity, and AUC were calculated using an OSTA index cutoff of ≤-1 and a t-score of ≤-1.0 for the QUS bone densitometry. The coefficient correlation of the OSTA index with the z-score (r = -0.563, p < 0.001) and t-score (r = -0.740, p < 0.001) shows a higher value than the MCI, MCW, and PMI, per the QUS. The sensitivity, specificity, and AUC values with a cutoff t-score of ≤-1.0 per the QUS in men was 90%, 50%, and 0.812, and in women, 96.8%, 30%, and 0.862. The OSTA index is a simple method that can be used in general dental practice.

Routine chest CT combined with the osteoporosis self-assessment tool for Asians (OSTA): a screening tool for patients with osteoporosis.

The osteoporosis self-assessment tool for Asians (OSTA) is a common screening tool for osteoporosis. The seventh thoracic CT (CT-T7) Hounsfield unit (HU) measured by chest CT correlates with osteoporosis. This study aimed to investigate the diagnostic value of OSTA alone, CT-T7 alone, or the combination of OSTA and CT-T7 in osteoporosis. In this study, 1268 participants were grouped into 586 men and 682 women. We established multiple linear regression models by combining CT-T7 and OSTA. Receiver operating characteristic (ROC) curves were used to evaluate the ability to diagnose osteoporosis. In the male group, the mean age was 59.02years, and 108 patients (18.4%) had osteoporosis. In the female group, the mean age was 63.23years, and 308 patients (45.2%) had osteoporosis. By ROC curve comparison, the CT-T7 (male, AUC = 0.789, 95% CI 0.745-0.832; female, AUC = 0.835, 95% CI 0.805-0.864) in the diagnosis of osteoporosis was greater than the OSTA (male, AUC = 0.673, 95% CI 0.620-0.726; female, AUC = 0.775, 95% CI 0.741-0.810) in both the male and female groups (p < 0.001). When OSTA was combined with CT, the equation of multiple linear regression (MLR) was obtained as follows: female = 3.020-0.028*OSTA-0.004*CT-T7. In the female group, it was found that the AUC of MLR (AUC = 0.853, 95% CI 0.825-0.880) in the diagnosis of osteoporosis was larger than that of CT-T7 (p < 0.01). When the MLR was 2.65, the sensitivity and specificity were 53.9% and 90%, respectively. For a patient who has completed chest CT, CT-T7 (HU) combined with OSTA is recommended to identify the high-risk population of osteoporosis, and it has a higher diagnostic value than OSTA alone or CT-T7 alone, especially among females. For a female with MLR greater than 2.65, further DXA examination is needed.

Cost-effectiveness of selective bone densitometry using the osteoporosis self-assessment tool for Asians in multi-ethnic Asian population.

To determine the cost-effectiveness of selective bone densitometry (SBD) using the Osteoporosis Self-Assessment Tool for Asians (OSTA) as a risk-stratifying tool for the three predominant races (Chinese, Malay and Indian) in Singapore. Decision analytical models were developed using a Markov model. Three scenarios were compared: no bone densitometry, SBD using the OSTA as a pre-screening tool and universal bone densitometry. Those diagnosed with osteoporosis were treated with five years of alendronate therapy. Data sources were from Singapore epidemiological studies, healthcare cost figures and published literature. Measurements include life years, quality-adjusted life years (QALYs), costs and incremental cost-effectiveness ratios (ICER). Compared to no bone densitometry, SBD using the OSTA would cost between $40,679 and $73,909 per QALY gained for men aged 75-80 and $22,386 to $58,185 per QALY gained for post-menopausal women aged 70-80. Universal bone densitometry would cost $157,955 to $177,127 per QALY gained for men aged 75-80 and $40,179 to $66,112 per QALY gained for post-menopausal women aged 70 to 80 compared to SBD. In general, osteoporosis screening was the most cost-effective for Malays and the least cost-effective for Indians. However, a general guideline should still be applied to the Singaporean population, as further explained later. Overall, the most cost-effective strategy for males would be using OSTA as a risk-stratifying tool at age 75. For post-menopausal women, SBD should be used for women aged 70, while universal bone densitometry should be used for women aged 75-80.

Osteoporosis Risk in Hemodialysis Patients: The Roles of Gender, Comorbidities, Biochemical Parameters, Health and Diet Literacy.

Osteoporosis is a common bone health disorder in hemodialysis patients that is linked with a higher morbidity and mortality rate. While previous studies have explored the associated factors of osteoporosis, there is a lack of studies investigating the impacts of health literacy (HL) and digital healthy diet literacy (DDL) on osteoporosis. Therefore, we aimed to investigate the associations of HL, DDL, and other factors with osteoporosis among hemodialysis patients. From July 2020 to March 2021, a cross-sectional study was conducted on 675 hemodialysis patients in eight hospitals in Vietnam. The data were collected by using the osteoporosis self-assessment tool for Asians (OSTA) and the 12-item short form of the health literacy questionnaire (HLS-SF12) on digital healthy diet literacy (DDL) and hemodialysis dietary knowledge (HDK). In addition, we also collected information about the socio-demographics, the clinical parameters, the biochemical parameters, and physical activity. Unadjusted and adjusted multinomial logistic regression models were utilized in order to investigate the associations. The proportion of patients at low, medium, and high levels of osteoporosis risk was 39.6%, 40.6%, and 19.8%, respectively. In the adjusted models, women had a higher likelihood of osteoporosis risk than men (odds ratio, OR, 3.46; 95% confidence interval, 95% CI, 1.86, 6.44; p < 0.001; and OR, 6.86; 95% CI, 2.96, 15.88; p < 0.001). The patients with rheumatoid arthritis (OR, 4.37; 95% CI, 1.67, 11.52; p = 0.003) and stomach ulcers (OR, 1.95; 95% CI, 1.01, 3.77; p = 0.048) were more likely to have a higher likelihood of osteoporosis risk than those without. The patients who had a higher waist circumference (WC), HL, and DDL were less likely to have a medium level of osteoporosis risk (OR, 0.95; 95% CI, 0.92, 0.98; p = 0.004; OR, 0.92; 95% CI, 0.88, 0.96; p < 0.001; OR, 0.96; 95% CI, 0.93, 0.99; p = 0.017, respectively) and a high level of osteoporosis risk (OR, 0.93; 95% CI, 0.89, 0.97; p = 0.001; OR, 0.89; 95% CI, 0.84, 0.94; p < 0.001; OR, 0.95; 95% CI, 0.91, 0.99; p = 0.008, respectively) compared with a low level of osteoporosis risk and to those with a lower WC, HL, and DDL. In addition, higher levels of hemoglobin (Hb) (OR, 0.79; 95% CI, 0.66, 0.95; p = 0.014), hematocrit (Hct) (OR, 0.95; 95% CI, 0.92, 0.99; p = 0.041), albumin (OR, 0.91; 95% CI, 0.83, 0.99; p = 0.030), and education (OR, 0.37; 95% CI, 0.16, 0.88; p = 0.025) were associated with a lower likelihood of a high level of osteoporosis risk. In conclusion, osteoporosis risk is highly prevalent in hemodialysis patients. Improved HL, DDL, education, WC, albumin, Hb, and Hct levels should be considered in preventing hemodialysis patients from developing osteoporosis.

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

To 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). A 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. There 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. FRAX 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.

Evaluation of the performance of osteoporosis/fracture screening models to identify high-risk women for osteoporosis: Bushehr elderly health (BEH) program.

This study aimed to evaluate the performance of valid risk assessment models developed for osteoporosis/ fracture screening to identify women in need of bone density measurement in a population of Iranian elderly women. This study was performed using the data of Bushehr Elderly Health (BEH) program, a population-based cohort study of elderly population aged ≥ 60 years. Seven osteoporosis risk assessment tools, including Osteoporosis Risk Assessment Instrument (ORAI), Malaysian Osteoporosis Screening Tool (MOST), Osteoporosis Prescreening Risk Assessment (OPERA), Osteoporosis Prescreening Model for Iranian Postmenopausal women (OPMIP), Osteoporosis Index of Risk (OSIRIS), and Osteoporosis Self-Assessment Tool for Asians (OSTA), as well as Fracture Risk Assessment Tool (FRAX) were included in the study. By using osteoporosis definition based on BMD results, the performance measurement criteria of diagnostic tests such as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Youden index for each model were calculated and the models were compared. A total of 1237 female participants with the mean age of 69.1 ± 6.3 years were included. Overall, 733 (59%) participants had osteoporosis, and about 80% had no history of fracture. The sensitivity of the seven models ranged from 16.7% (OSIRIS) to 100% (ORAI and MOST) at their recommended cut-off points. Moreover,their specificity ranged from 0.0% (ORAI and MOST) to 78.9% (OSTA). The FRAX and OPERA had the optimal performance with the Youden index of 0.237 and 0.226, respectively. Moreover, after combining these models, the sensitivity of them increased to 85.4%. We found that the FRAX (model with 11 simple variables) and OPERA (model with 5 simple variables) had the best performance. By combining the models, the performance of each was improved. Further studies are needed to adopt the model and to find the best cut-off point in the Iranian postmenopausal women.

OSTA as a screening tool to predict osteoporosis in Indian postmenopausal women - a nationwide study.

The gold standard for diagnosing osteoporosis is DXA (dual-energy X-ray absorptiometry) scan, and this is not widely available across India. OSTA (Osteoporosis Self-Assessment Tool for Asians) score predicts risk of osteoporosis and can be used as reference tool for DXA. At a cutoff of ≤ + 1, OSTA predicted femoral neck osteoporosis with a sensitivity of 88% in a previous study among south Indian postmenopausal women. This study was done to validate the OSTA score in postmenopausal women across India. A cross-sectional study in 5356 postmenopausal women from four regions of India namely south, east, north, and west. Bone mineral density (BMD) and trabecular bone score (TBS) were assessed by DXA. The performance of OSTA in predicting BMD and TBS was assessed using ROC curve. The mean (SD) age was 61.6 (7.6) years. The performance of OSTA in predicting osteoporosis was fair (P < 0.001) with an AUC of 0.727 (95% CI 0.705-0.749) in the south, 0.693 (95% CI 0.664-0.723) in east India, 0.730 (95% CI 0.700-0.759) in the north, and 0.703 (95% CI 0.672-0.735) in the western region. At a cut-off below + 1.0, sensitivity was 76-84% and specificity was 45-53% in diagnosing osteoporosis at any site. In predicting degraded microarchitecture, the AUC was 0.500-0.600. OSTA may be reliably used as a screening tool for women at high risk of osteoporosis across India and may circumvent the limited availability of DXA scanners across the country.

Assessment of Osteoporosis Awareness and Osteoporosis Risk Level of Patients Admitted to a University Hospital

Introduction: We aimed to evaluate osteoporosis awareness and risk of osteoporosis in individuals by using the One-Minute Osteoporosis Risk Test and Osteoporosis Self-Assessment Tool for Asians score. Methodology: This descriptive cross-sectional study included 591 volunteers who were admitted to the Internal Medicine outpatient clinic of the University Hospital. The One-Minute Osteoporosis Risk Test was applied through face-to-face interviews. Participants were classified as low, medium, and high osteoporosis risk groups in terms of the Osteoporosis Self-Assessment Tool for Asians scores. Results: Median score of the One-Minute Osteoporosis Risk Test was 1 (0–2) and the mean score of the Osteoporosis Self-Assessment Tool for Asians was 4.61 ± 3.80. In terms of the Osteoporosis Self-Assessment Tool for Asians score, 0.7% (n = 4) of the participants have a high risk of osteoporosis, 5.4% (n = 32) have a medium risk of osteoporosis and 93.9% (n = 555) have a low risk of osteoporosis. One-Minute Osteoporosis Risk Test scores of participants in terms of the osteoporosis risk levels were not significantly different (p = 0.432). The proportion of having information about osteoporosis in men was significantly lower than in women (21.0% vs. 33.4%, p = 0.004). The proportion of obtained information from medical staff was significantly higher in women than men (86.9% vs. 66.7%, p = 0.005). Informed participants have a significantly higher One-Minute Osteoporosis Risk Test score than non-informed participants (p = 0.004). Results: The risk of osteoporosis was found to be low in individuals admitted to the university hospital. The Osteoporosis Self-Assessment Tool for Asians score was more effective in determining the osteoporosis risk level compared to the One-Minute Osteoporosis Risk Test. Men should be given as much importance as women in informing about osteoporosis. Media tools should be used more effectively for this purpose.

Predictive factors and the relationship between the early detection of osteoporosis and pathological fractures in Indonesian menopausal women

Background: Estrogen deficiency in menopausal women induces bone loss and makes them prone to pathological fractures. Age, body mass index (BMI), parental history of osteoporosis, and smoking tobacco also increase bone loss and pathological fractures. This study aims to determine whether age, BMI, parental history of osteoporosis, and smoking tobacco can predict pathological fractures in menopausal women. Moreover, the relationship between the early detection of osteoporosis with pathological fracture incidence will also be determined. Methods: This is an analytic observational epidemiological research with a cross-sectional retrospective design that involved 40 menopausal women. The data were collected from the patients' medical records 2020 in Obstetrics and Gynecology Clinic, Asri Medical Center (AMC) Muhammadiyah Hospital, Yogyakarta. The predictive factors for pathological fracture (age, BMI, parental history, smoking tobacco) were analyzed by using Fisher's exact test and the relationship between osteoporosis early detection, including bone mineral density (BMD) value, parathyroid hormone (PTH) levels, osteocalcin levels, and osteoporosis self-assessment tool for Asians (OSTA) score, with pathological fractures were investigated by using the chi-square test. Result: Age has a significant relationship with the occurrence of pathological fractures in menopausal women (OR = 6.6, 95% CI: 1.128-8.604, p = 0.042), while BMI, parental history of osteoporosis, and smoking tobacco did not have a significant relationship with pathological fractures (p &gt; 0.05). Early detection of BMD and PTH was also found to have a significant relationship to fracture incidence. Additionally, menopausal women with high PTH levels and osteoporosis BMD values are eight times and four times greater risk of acquiring fractures than menopausal women with normal BMD values and PTH levels. Conclusion: Age can be a predictive factor for pathological fractures, and the early detection of PTH and BMD is related to the occurrence of pathological fractures in menopausal women.

The Diagnostic Value of the Osteoporosis Self-assessment Tool for Asians in Vietnamese Postmenopausal Women

Introduction: Osteoporosis is a common disease that affects many women in the postmenopausal period. Dual-energy X-ray absorptiometry (DXA) is a simple and noninvasive method used to diagnose osteoporosis. The Osteoporosis Self-Assessment Tool for Asians (OSTA) is an osteoporosis risk assessment toolkit, used for menopausal women in Asia. This study aimed to evaluate the diagnostic values of the OSTA index in determining the risk of osteoporosis in postmenopausal women.&#x0D; Material and Methods: This cross-sectional study was conducted on 919 postmenopausal women to determine the value of OSTA in osteoporosis risk assessment. The bone density was measured using the DXA method in the lumbar spine and femoral neck.&#x0D; Results: Based on the ROC curve, the sensitivity and specitivity of OSTA were 70.3% and 63.6% at the cut-off of ≤ -1.4 at the femoral neck or lumber spine or both (p = 0.005) . At a cut-off point of ≤-1 at one of two position or both, the OSTA index showed a specificity of 87.23%, sensitivity of 66.08%, positive predictive value of 46.90%, and negative predictive value of 93.78% in predicting the osteoporosis risk.&#x0D; Conclusions: The OSTA index is a simple tool that is highly sensitive and specific in predicting the risk of osteoporosis in postmenopausal women.