Risk Assessment Tools for Osteoporosis Screening in Postmenopausal Women: A Systematic Review

Comparative accuracy of osteoporosis risk assessment tools in postmenopausal women: A systematic review and network meta-analysis

BACKGROUND

The Fracture Risk Assessment Tool (FRAX, threshold ≥9.3 %), Osteoporosis Risk Assessment Instrument (ORAI, ≥9), Osteoporosis Index of Risk (OSIRIS, <1), Osteoporosis Self-Assessment Tool (OST, <2), and Simple Calculated Osteoporosis Risk Estimation (SCORE, ≥6) have been endorsed by the US Preventive Services Task Force for evaluating the need for bone mineral density measurement by dual-energy X-ray absorptiometry in postmenopausal women.

OBJECTIVE

To systematically compare the sensitivity and specificity of the five osteoporosis risk assessment tools for detecting bone mineral density-defined osteoporosis.

METHODS

A systematic search was conducted across the Cochrane Library, Embase, PubMed and Web of Science databases up to January 29, 2024, to identify observational studies that evaluated comparative accuracy of these tools in postmenopausal women. The Quality Assessment of Diagnostic Accuracy Studies-2 and its comparative extension were utilized to evaluate the risk of bias and applicability. Pooled odds ratios (ORs) and 95 % confidence intervals (CIs) for relative sensitivity and specificity were calculated using a multivariate random-effects model, with tool rankings determined by Surface Under the Cumulative Ranking (SUCRA).

RESULTS

17 studies were included, involving 9669 postmenopausal women with bone mineral density-defined osteoporosis and 34,143 without the condition. The SCORE (OR = 12.11, 95 % CI [4.46-32.86]) exhibited significantly higher sensitivity than FRAX, followed by ORAI (OR = 7.01, 95 % CI [2.84-17.31]) and OST (OR = 6.90, 95 % CI [3.07-15.52]). Compared to OSIRIS, higher sensitivity was observed for SCORE (OR = 4.92, 95 % CI [2.41-10.05]), ORAI (OR = 2.85, 95 % CI [1.63-4.99]), and OST (OR = 2.80, 95 % CI [1.58-4.97]). However, specificity was lower for SCORE (OR = 0.16, 95 % CI [0.08-0.33]), ORAI (OR = 0.26, 95 % CI [0.13-0.51]), and OST (OR = 0.28, 95 % CI [0.15-0.53]) compared to FRAX. Similarly, SCORE (OR = 0.25, 95 % CI [0.15-0.41]), ORAI (OR = 0.40, 95 % CI [0.26-0.62]), and OST (OR = 0.44, 95 % CI [0.27-0.69]) showed significantly lower specificity than OSIRIS. Based on SUCRA values, SCORE (98.2 %) ranked as the most sensitive tool, followed by ORAI (64.2 %) and OST (62.6 %), whereas FRAX (96.7 %) was the most specific, followed by OSIRIS (78.3 %).

CONCLUSIONS

The risk assessment tools for identifying postmenopausal women with bone mineral density-defined osteoporosis, endorsed by the US Preventive Services Task Force, can be categorized into two groups. SCORE (≥6), ORAI (≥9), and OST (<2) offer higher sensitivity, identifying more osteoporosis patients, whereas FRAX (≥9.3 %) and OSIRIS (<1) provide higher specificity, identifying those without the condition more accurately.

REGISTRATION

PROSPERO (CRD42024507532).

Validation of Ten Osteoporosis Screening Tools in Rural Communities of Taiwan

PURPOSE

Patients with osteoporosis are at risk of fractures, which can lead to immobility and reduced quality of life. Early diagnosis and treatment are crucial for preventing fractures, but many patients are not diagnosed until after a fracture has occurred. This study aimed to evaluate the performance of 10 osteoporosis screening tools (OSTs) in rural communities of Taiwan. In this prospective study, a total of 567 senior citizens from rural communities underwent bone mineral density (BMD) measurement using dual-energy X-ray absorptiometry (DXA) and ten OSTs were administered. Discrimination analysis was performed using the area under the receiver operating characteristic curve (AUROC). Primary outcomes included area under curve (AUC) value, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The DXA examination revealed that 63.0% of females and 22.4% of males had osteoporosis. Among females, Osteoporosis Index of Risk (OSIRIS) and Osteoporosis Self-Assessment Tool for Asians (OSTA) presented the best AUC value with 0.71 (0.66-0.76) and 0.70 (0.66-0.75), respectively. Among males, BWC had the best AUC value of 0.77 (0.67-0.86), followed by OSTA, Simple Calculated Osteoporosis Risk Estimation (SCORE), and OSIRIS. OSTA and OSIRIS showed acceptable performance in both genders. The specificity of Fracture Risk Assessment Tool (FRAX-H), SCORE, National Osteoporosis Foundation Score, OSIRIS, Osteoporosis Risk Assessment Instrument, Age, Bulk, One or Never Estrogen (ABONE), and Body weight criteria increased in both genders after applying the optimum cut-off. Considering it high AUC and simplicity of use, OSTA appeared to be the recommended tool for seniors of both genders among the ten OSTs. This study provides a viable reference for future development of OSTs in Taiwan. Further adjustment according to epidemiological data and risk factors is recommended while applying OSTs to different cohorts.

Uric acid-to-high-density lipoprotein cholesterol ratio and osteoporosis: Evidence from the national health and nutrition examination survey

Background: The uric acid-to-high-density lipoprotein cholesterol ratio (UHR) has emerged as a novel indicator of inflammatory and metabolic status. This study aims to examine the association between UHR and bone mineral density (BMD), as well as the risk of osteoporosis, in individuals aged ≥50 years. Methods: This cross-sectional study used data from the National Health and Nutrition Examination Survey, focusing on participants aged ≥50 years. Femoral neck BMD (FN-BMD) was measured using dual-energy X-ray absorptiometry. Linear regression models were employed to examine the association between UHR and FN-BMD. Additionally, generalised additive models were used to assess the nonlinear relationship between UHR and FN-BMD. Logistic regression models were employed to evaluate the association between UHR and the risk of osteoporosis. Results: Finally, the study included 2963 adults with a mean age of 64.16 ± 8.92 years. Linear regression analyses revealed a positive association between UHR and FN-BMD, regardless of covariate adjustments. Logistic regression analyses indicated that elevated UHR was associated with a reduced risk of osteoporosis with or without covariate adjustments. Subgroup analyses revealed that the positive association between UHR and BMD was significant in individuals aged ≥65 years but not in those aged 50 to 64 years. Interaction analyses by age showed significant differences after adjusting for all covariates. Conclusions: Clinicians should be vigilant regarding the potential risk of osteoporosis in individuals with a low UHR. UHR might serve as a risk indicator for osteoporosis.

Life's Essential 8 and osteoporosis in adults aged 50 years or older: data from the National Health and Nutrition Examination Survey

In this cross-sectional study, we examined the association between Life's Essential 8 (LE8) and bone mineral density (BMD) as well as osteoporosis risk among adults aged 50 and over. The findings of this study revealed that higher LE8 scores were associated with higher BMD and reduced osteoporosis risk.

PURPOSE

The objective of the present study was to evaluate the association between Life's Essential 8 (LE8) and bone mineral density (BMD), as well as osteoporosis risk, in adults aged 50 years or over.

METHODS

This cross-sectional study recruited individuals who were 50 years old or older from the National Health and Nutrition Examination Survey. LE8 scores were evaluated and calculated according to the scoring algorithm based on the American Heart Association recommendations, which were further categorized into health behaviors (LE8-HB) and health factors (LE8-HF) scores. Furthermore, the present study utilized multivariate linear regression models to examine the correlations between BMD and LE8 scores. In addition, ordinal logistic regression models were employed to determine the associations between the risk of osteoporosis (normal BMD, osteopenia, and osteoporosis) and LE8 scores.

RESULTS

The final analysis included a total of 2910 participants, whose mean age was 64.49 ± 9.28 years. LE8 and LE8-HF scores exhibited a negative association with BMD and a positive association with osteoporosis risk in unadjusted models. Nevertheless, after adjustment for covariates, LE8 and LE8-HB scores exhibited a positive association with BMD and a negative association with osteoporosis risk, regardless of age, sex, or menopausal status.

CONCLUSIONS

Scoring systems based on multiple lifestyle and behavior factors, similar to LE8, have the potential to become a novel option and be used for osteoporosis risk assessment.

Performance of Fracture Risk Assessment Tools by Race and Ethnicity: A Systematic Review for the ASBMR Task Force on Clinical Algorithms for Fracture Risk

The American Society of Bone and Mineral Research (ASBMR) Professional Practice Committee charged an ASBMR Task Force on Clinical Algorithms for Fracture Risk to review the evidence on whether current approaches for differentiating fracture risk based on race and ethnicity are necessary and valid. To help address these charges, we performed a systematic literature review investigating performance of calculators for predicting incident fractures within and across race and ethnicity groups in middle-aged and older US adults. We included English-language, controlled or prospective cohort studies that enrolled US adults aged >40 years and reported tool performance predicting incident fractures within individual race and ethnicity groups for up to 10 years. From 4838 identified references, six reports met eligibility criteria, all in women. Just three, all from one study, included results in non-white individuals. In these three reports, non-white women experienced relatively few major osteoporotic fractures (MOFs), especially hip fractures, and risk thresholds for predicting fractures in non-white women were derived from risks in the overall, predominantly white study population. One report suggested the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD) overestimated hip fracture similarly across race and ethnicity groups (black, Hispanic, American Indian, Asian, white) but overestimated MOF more in non-white than White women. However, these three reports were inconclusive regarding whether discrimination of FRAX or the Garvan calculator without BMD or of FRAX with BMD for MOF or hip fracture differed between white versus black women. This uncertainty was at least partly due to imprecise hip fracture estimates in black women. No reports examined whether ratios of observed to predicted hip fracture risks within each race or ethnicity group varied across levels of predicted hip fracture risk. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR). This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

A novel primary osteoporosis screening tool (POST) for adults aged 50 years and over

PURPOSE

This study aimed to develop and validate a simple primary osteoporosis screening tool (POST) based on adults aged 50 years and older.

METHODS

This study included participants aged ≥50 from the National Health and Nutrition Examination Survey. Osteoporosis was defined according to bone mineral density values. The POST was developed based on methods from previous studies. Moreover, we plotted the receiver operating characteristic curves to calculate the area under the curve (AUC) and determine the optimal cut-off value according to the weighted Youden index. In addition, we compared the performances in identifying individuals with osteoporosis between the POST and the Osteoporosis Self-assessment Tool (OST). Finally, we also assessed the performance of the POST in the Chinese population.

RESULTS

Finally, a total of 6665 individuals were included in this study. The AUC values of the POST for identifying individuals with osteoporosis in the development cohort and the validation cohort were 0.81 (95% CI: 0.79-0.83) and 0.81 (95% CI: 0.77-0.84), respectively. Moreover, a POST-score ≥7 was determined as the threshold to identify individuals with osteoporosis, in which the sensitivity was greater than 90%. In addition, the POST showed significantly higher sensitivity than the OST. Finally, the POST showed an AUC of 0.75 (95% CI: 0.65-0.85) among 94 Chinese subjects aged ≥50 years old.

CONCLUSIONS

POST is a convenient and effective tool for osteoporosis screening among adults aged 50 years and over, which might provide new methodological support for future osteoporosis screening.

Screening for Osteoporosis Risk Among Community-Dwelling Older Adults: A Scoping Review

BACKGROUND AND PURPOSE

Due to potential health-related consequences of osteoporosis (OP), health care providers who do not order imaging, such as physical therapists, should be aware of OP screening tools that identify individuals who need medical and rehabilitation care. However, current knowledge and guidance on screening tools is limited. Therefore, we explored OP screening tools that are appropriate and feasible for physical therapy practice, and evaluated tools' effectiveness by examining their clinimetric properties.

METHODS

A systematic search of the following databases was performed: PubMed, PEDro, PsycINFO, CINAHL, and Web of Science. Articles were included if the study population was 50 years and older, had a diagnosis of OP, if the screening tool was within the scope of physical therapy practice, and was compared to either a known diagnosis of OP or bone densitometry scan results. Included articles underwent multiple reviews for inclusion and exclusion, with each review round having a different randomly selected pair of reviewers. Data were extracted from included articles for participant demographics, outcome measures, cut-off values, and clinimetric properties. Results were categorized with positive and negative likelihood ratios (+LR/-LR) based on the magnitude of change in the probability of having or not having OP.

RESULTS

+LRs ranged from 0.15 to 20.21, with the Fracture Risk Assessment Tool (FRAX) and Study of Osteoporotic Fractures (SOF) having a large shift in posttest probability. -LRs ranged from 0.03 to 1.00, with the FRAX, Male Osteoporosis Risk Estimation Scores, Osteoporosis Self-Assessment Tool (OST), and Simple Calculated Osteoporosis Risk Estimation having a large shift in posttest probability.

CONCLUSION

Tools with moderate-large shift for both +LR and -LR recommended for use are: (1) OST; (2) FRAX; and (3) SOF. The variability in cut-off scores and clinimetric properties based on gender, age, and race/ethnicities made it impossible to provide one specific recommendation for an OP screening tool. Future research should focus on OP risk prediction among males and racial and ethnic groups.

Assessment of osteoporosis knowledge, awareness, and risk factors among premenopausal and postmenopausal women from Jordan: a cross-sectional study

RATIONALE

Lack of information about osteoporosis knowledge and awareness among premenopausal compared to postmenopausal women in Jordan.

MAIN RESULT

Women had an average-poor knowledge and awareness about osteoporosis.

SIGNIFICANCE

This study highlights the need to improve women's knowledge about osteoporosis, its consequences, potential risk factors, preventive measures, and treatment options.

PURPOSE

To assess osteoporosis knowledge, awareness, and risk factor profile among premenopausal and postmenopausal women from Jordan.

METHODS

This was a cross-sectional study that involved 490 premenopausal and 488 postmenopausal women from the general population of Jordan. Face-to-face interviews were conducted to collect the sociodemographic and clinical data and to complete the Osteoporosis Knowledge Assessment Tool (OKAT) questionnaire.

RESULTS

Premenopausal and postmenopausal women had an average-poor level of knowledge and awareness regarding osteoporosis, with a total mean score of 51.3 and 50.9, respectively, out of the total OKAT score of 100. More than 50% of premenopausal women correctly answered 11 questions, while >50% of postmenopausal women correctly answered 9 questions out of 20 in OKAT, which are related to knowledge and awareness about osteoporosis. The participants' marital status (being married), higher educational level, and higher economic status were significantly associated with better knowledge and awareness about osteoporosis (p-values < 0.05). Postmenopausal women had higher osteoporosis risk profile including older age, higher body mass index, less regular exercise, and less exposure to sunlight versus premenopausal women.

CONCLUSION

Premenopausal and postmenopausal women from Jordan had an average-poor level of knowledge and awareness about osteoporosis. Higher educational levels and higher income are associated with better knowledge and awareness about osteoporosis. It is therefore crucial to improve the knowledge of women in Jordan about osteoporosis and its consequences, as well as the potential risk factors, preventive measures, and treatment options. Conducting periodic osteoporosis awareness and educational campaigns are necessary to spread the awareness of the disease.

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

BACKGROUND

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.

METHODS

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.

RESULTS

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).

CONCLUSIONS

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.

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

Purpose

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.

Methods

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.

Results

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%.

Conclusion

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.

A Mini Review on Osteoporosis: From Biology to Pharmacological Management of Bone Loss

Osteoporosis refers to excessive bone loss as reflected by the deterioration of bone mass and microarchitecture, which compromises bone strength. It is a complex multifactorial endocrine disease. Its pathogenesis relies on the presence of several endogenous and exogenous risk factors, which skew the physiological bone remodelling to a more catabolic process that results in net bone loss. This review aims to provide an overview of osteoporosis from its biology, epidemiology and clinical aspects (detection and pharmacological management). The review will serve as an updated reference for readers to understand the basics of osteoporosis and take action to prevent and manage this disease.

Osteoporosis Preclinical Research: A Systematic Review on Comparative Studies Using Ovariectomized Sheep

Sheep ovariectomy (OVX) alone or associated to steroid therapy, deficient diet, or hypothalamic–pituitary disconnection has proven to be of critical importance for osteoporosis research in orthopedics. However, the impact of specific variables, such as breed, age, diet, time after OVX, and other variables, should be monitored. Thus, the design of comparative studies is mandatory to minimize the impact of these variables or to recognize the presence of unwanted variables as well as to better characterize bone remodeling in this model. Herein, we conducted a systematic review of the last 10 years on PubMed, Scopus, and Web of Knowledge considering only studies on OVX sheep where a control group was present. Of the 123 records screened, 18 studies were included and analyzed. Results showed that (i) Merino sheep are the most exploited breed; (ii) 5–6 years of age is the most used time for inducing OVX; (iii) ventral midline laparotomy is the most common approach to induce OVX; (iv) OVX associated to steroid therapy is the most widely used osteoporosis model; and (v) success of OVX was mostly verified 12 months after surgery. In detail, starting from 12 months after OVX a significant decline in bone mineral density and in microarchitectural bone parameters as well as in biochemical markers were detected in all studies in comparison to control groups. Bone alteration was also site-specific on a pattern as follows: lumbar vertebra, femoral neck, and ribs. Before 12 months from OVX and starting from 3–5 months, microarchitectural bone changes and biochemical marker alterations were present when osteoporosis was induced by OVX associated to steroid therapy. In conclusion, OVX in sheep influence bone metabolism causing pronounced systemic bone loss and structural deterioration comparable to the situation found in osteoporosis patients. Data for treating osteoporosis patients are based not only on good planning and study design but also on a correct animal use that, as suggested by 3Rs principles and by ARRIVE guidelines, includes the use of control groups to be directly contrasted with the experimental group.

Disparities in osteoporosis care among postmenopausal women in the United States

Osteoporosis and fragility fractures result in significant morbidity and mortality and contribute to substantial healthcare costs. Despite being a treatable disease, osteoporosis remains both underdiagnosed and undertreated in the US general population, with significant disparities in care between non-White and White women. These disparities are evident from screening to post-fracture treatment. Non-White women are less likely to be screened for osteoporosis, to be prescribed pharmacotherapy, or to receive treatment post-fracture; furthermore, the mortality rate after fracture is higher in non-White women. Given existing diagnostic and treatment disparities, additional studies and interventions are needed to optimize the bone health of Asian, Black, Hispanic, and Native American women, and to reduce morbidity and mortality from osteoporosis and fragility fractures.

Prevalence, risk assessment, and predictors of osteoporosis among chronic obstructive pulmonary disease patients

The link between chronic obstructive pulmonary disease (COPD) and osteoporosis is unclear and yet to be understood. The study goals were to detect the prevalence of osteoporosis and investigate its predictors among COPD patients. This is a longitudinal study conducted in a tertiary care setting. During the study, patients' bone mineral density was checked, pulmonary parameters were recorded, and a risk assessment tool was validated. Based on T-score, more than 50% of subjects were osteoporotic. Spirometric parameters were significantly lower among osteoporotic patients. For the risk assessment tool, a cutoff point of 34 made the optimum balance between sensitivity and specificity (0.867 and 0.087, respectively) with a generated area under the curve of 0.934. Severe COPD patients were four times at higher risk of getting osteoporosis, forced expiratory volume (FEV) % predicted, and FEV/forced vital capacity was inversely related to the risk of osteoporosis. Patients with severe dyspnea had twice the risk of getting osteoporosis. Osteoporosis was prevalent among COPD patients, and severe COPD patients were at higher risk of getting osteoporosis.

On challenges in clinical assessment of hip fracture risk using image-based biomechanical modelling: a critical review

INTRODUCTION

Hip fracture is a common health risk among elderly people, due to the prevalence of osteoporosis and accidental fall in the population. Accurate assessment of fracture risk is a crucial step for clinicians to consider patient-by-patient optimal treatments for effective prevention of fractures. Image-based biomechanical modeling has shown promising progress in assessment of fracture risk, and there is still a great possibility for improvement. The purpose of this paper is to identify key issues that need be addressed to improve image-based biomechanical modeling.

MATERIALS AND METHODS

We critically examined issues in consideration and determination of the four biomechanical variables, i.e., risk of fall, fall-induced impact force, bone geometry and bone material quality, which are essential for prediction of hip fracture risk. We closely inspected: limitations introduced by assumptions that are adopted in existing models; deficiencies in methods for construction of biomechanical models, especially for determination of bone material properties from bone images; problems caused by separate use of the variables in clinical study of hip fracture risk; availability of clinical information that are required for validation of biomechanical models.

RESULTS AND CONCLUSIONS

A number of critical issues and gaps were identified. Strategies for effectively addressing the issues were discussed.

The Assessment of the Osteoporosis Self-Assessment Tool for Asians and Calcaneal Quantitative Ultrasound in Identifying Osteoporotic Fractures and Falls Among Chinese People

The lack of DXA has made the diagnosis and treatment of osteoporosis extremely difficult in the vast rural areas of China, which has the largest population with high risks of osteoporosis. The aims of this cross-sectional study were to evaluate the association between the osteoporosis self-assessment tool for Asians (OSTA) and calcaneus quantitative ultrasound (QUS) in populations residing in Shanghai, China, and their assessment in predicting osteoporotic fractures and falls. A population of 12,033 participants, including 1272 males (average age 68.3 ± 9.8 years, range 28-100 years) and 10,761 females (average 56.8 ± 11.4 years, range 23-99 years), was gathered. OSTA and calcaneus QUS (Sonost 2000, OsteoSys) values were measured. Spearman's correlation and Cohen's kappa were used to determine the association and agreement between the OSTA and QUS. Receiver operating characteristic (ROC) curves were adapted to assess the performance and optimal cutoff values for the OSTA and QUS in osteoporotic fracture and fall screening. In total, the prevalence of osteoporotic fractures (low-trauma fractures including fractures of the spine, hip, forearm, humerus and ribs) was 15.2% in women, and 17.7% reported a history of falls (falling from standing height more than once in the past year). The percentages of men with the same history were 8.4% and 11.7%, respectively. The association between the OSTA and QUS was found to be r_s = 0.393, κ = 0.137, p < 0.001. The OSTA (cutoff < -1) revealed an area under ROC curve (AUC) of 0.590 in identifying female individuals with moderate or high risk of osteoporosis defined by QUS (T-score < -1). The QUS T-score lower than -1.55 or -1.40 in postmenopausal women may lead to an increased risk of falls or osteoporotic fractures, respectively. The agreement between QUS and the OSTA seemed to be limited in determining individuals at risk of osteoporosis. Measuring bone mineral density (BMD) by dual energy X-ray absorptiometry (DXA) may still be necessary in the clinical diagnosis of osteoporosis. OSTA and QUS T-scores less than the respective cutoff values may indicate an increased risk of osteoporotic fractures and falls that individual should be further treated and screened by DXA.

The Belgian Bone Club 2020 guidelines for the management of osteoporosis in postmenopausal women

PURPOSE

To provide updated evidence-based guidelines for the management of osteoporosis in postmenopausal women in Belgium.

METHODS

The Belgian Bone Club (BBC) gathered a guideline developer group. Nine "Population, Intervention, Comparator, Outcome" (PICO) questions covering screening, diagnosis, non-pharmacological and pharmacological treatments, and monitoring were formulated. A systematic search of MEDLINE, the Cochrane Database of Systematic Reviews, and Scopus was performed to find network meta-analyses, meta-analyses, systematic reviews, guidelines, and recommendations from scientific societies published in the last 10 years. Manual searches were also performed. Summaries of evidence were provided, and recommendations were further validated by the BBC board members and other national scientific societies' experts.

RESULTS

Of the 3840 references in the search, 333 full texts were assessed for eligibility, and 129 met the inclusion criteria. Osteoporosis screening using clinical risk factors should be considered. Patients with a recent (<2 years) major osteoporotic fracture were considered at very high and imminent risk of future fracture. The combination of bone mineral density measured by dual-energy X-ray absorptiometry and 10-year fracture risk was used to categorize patients as low or high risk. Patient education, the combination of weight-bearing and resistance training, and optimal calcium intake and vitamin D status were recommended. Antiresorptive and anabolic osteoporosis treatment should be considered for patients at high and very high fracture risk, respectively. Follow-up should focus on compliance, and patient-tailored monitoring should be considered.

CONCLUSION

BBC guidelines and 25 guideline recommendations bridge the gap between research and clinical practice for the screening, diagnosis, and management of osteoporosis.

Evaluation of two tools for the early screening of osteoporosis in postmenopausal Chinese women with type 2 diabetes mellitus

Objective

To evaluate two osteoporosis screening tools, the osteoporosis self-assessment tool for Asians (OSTA) and the osteoporosis screening tool for Chinese (OSTC), in postmenopausal Chinese women with type 2 diabetes mellitus (T2DM).

Methods

This retrospective study enrolled postmenopausal female patients with T2DM. Bone mineral density at the lumbar spine (L1–4) and left femoral neck was measured using dual-energy X-ray absorptiometry (DXA). The OSTA and OSTC scores were calculated and compared with bone mineral density at the two anatomical sites.

Results

A total of 404 patients with T2DM were enrolled in this study. The detection rates for osteoporosis in the lumbar spine (L1–L4) and left femoral neck by DXA were 22.5% (91 of 404 patients) and 21.8% (88 of 404 patients), respectively; 14.4% (58 of 404 patients) and 18.1% (73 of 404 patients) by OSTA, respectively; and 21.5% (87 of 404 patients) at both sites by OSTC. At the femoral neck, the areas under the curve (AUC) of OSTA and OSTC for predicting osteoporosis were 0.73 and 0.78, respectively. The sensitivity and specificity for OSTA were 64.9% and 72.7%, respectively; and for OSTC, they were 64.2% and 79.5%, respectively.

Conclusions

The OSTC assessment tool was superior to OSTA for osteoporosis screening in postmenopausal Chinese women with T2DM.

Effect of estradiol on high glucose‑induced osteoblast injury

Estradiol (E2) serves an important role in the changes of postmenopausal bone turnover rate and the development of osteoporosis. The present study aimed to investigate the effects of E2 on high glucose (HG)‑induced osteoblast injury. Cell Counting Kit‑8 was used to determine cell viability. Reverse transcription‑quantitative PCR (RT‑qPCR) and western blotting was used to analyze the mRNA and protein expression levels of osteocalcin, Runt‑related transcription factor 2 (Runx2), nuclear factor E2‑related factor 2 (Nrf2) and heme oxygenase‑1 (HO1). Flow cytometry was performed to analyze apoptosis. The results revealed that cell viability was lower in cells treated with HG (100, 200 or 300 mg/dl) compared with the control group. Cell viability was decreased in cells treated with 200 mg/dl HG on days 3, 5 and 7. In addition, cell viability was increased by 0.1 µM E2. E2 with HG co‑treatment increased cell viability, osteocalcin and Runx2 mRNA expression levels and nuclear Nrf2 and HO1 protein expression levels compared with the HG‑only group. All these changes, with the exception of Runx2, were reversed by silencing Nrf2 expression using small interfering (si)RNA (siNrf2). Additionally, apoptosis was reduced by E2 in HG‑treated cells, which was reversed by siNrf2 transfection. These results demonstrated that E2 may prevent HG‑induced osteoblast injury by activating Nrf2/HO1 signaling pathways.

Artificial neural network optimizes self-examination of osteoporosis risk in women

Objective

This study aimed to investigate the application of an artificial neural network (ANN) in optimizing the Osteoporosis Self-Assessment Tool for Asians (OSTA) score.

Methods

OSTA score was calculated for each female participant that underwent dual-energy X-ray absorptiometry examination in two hospitals (one in each of two Chinese cities, Harbin and Ningbo). An ANN model was built using age and weight as input and femoral neck T-score as output. Osteoporosis risk screening by joint application of ANN and OSTA score was evaluated by receiver operating characteristic curve analysis.

Results

Nearly 90% of women with dual-energy X-ray absorptiometry-determined femoral neck osteoporosis were ≥60 years old. The ANN with age and weight as input and OSTA score both identified osteoporosis, with respective accuracy rates of 78.8% and 78.3%. However, both methods failed to identify osteoporosis in women < 60 years old. Compared with OSTA score alone, combined use of the two tools increased the rate of osteoporosis recognition among women > 80 years old.

Conclusions

OSTA score-mediated osteoporosis risk screening should be restricted to women ≥60 years old. Joint application of ANN and OSTA improved osteoporosis risk screening among Chinese women > 80 years old.

Fracture risk assessment tool (FRAX) and for the diagnosis of osteoporosis in Japanese middle-aged and elderly women: Chiba bone survey

Osteoporosis not only increases bone fracture risk but also affects survival in postmenopausal women. Although osteoporosis is diagnosed based on low bone mineral density (BMD) determined by dual energy X-ray absorptiometry (DXA), BMD measurement is sometimes difficult because DXA is not widely available in the community. The Fracture Risk Assessment tool (FRAX) can predict 10-year major osteoporotic fracture risk and hip fracture risk with or without femoral neck BMD. The FRAX has not been investigated adequately in community-dwelling Japanese women. We administered the FRAX tool in 13,421 Japanese women who underwent DXA-based forearm BMD measurement in Chiba Bone Survey, a population-based, multicenter, cross-sectional study of postmenopausal osteoporosis conducted in Chiba, Japan. Mean age was 57.77 ± 9.24 years. Mean forearm BMD was 87.94 ± 17.00% of young adult mean (YAM). Mean FRAX major osteoporotic fracture risk without femoral neck BMD was 7.06 ± 5.22%. BMD decreased and percentage of osteoporosis increased from age 55 onward. Age distribution of percentage of subjects with FRAX major osteoporotic fracture risk >15% was similar to that of percentage of osteoporosis subjects. We identified the cutoff value of FRAX major osteoporotic fracture risk for diagnosis of osteoporosis as 7.2%. With this cutoff, the positive likelihood ratio was over 1.0 at age 55 and above but accuracy was low. In conclusion, FRAX without femoral neck BMD reflects bone status, and may be useful to diagnose osteoporosis in Japanese women aged 55 and above, although the sensitivity was low for osteoporosis screening, especially in middle-aged women.

Fracture Risk Assessment With FRAX Using Real-World Data in a Population-Based Cohort From Israel

The predictive value of the World Health Organization's Fracture Risk Assessment Tool (FRAX) was evaluated using real-world community data. A population-based cohort of 141,320 women aged 50-90 years (median age, 58 years; interquartile range, 54-67) in 2004 was extracted from the central database of a large Israeli health-care services provider and insurer. Retrospective FRAX scores were calculated using computerized health records and compared with actual incidence of major osteoporotic fractures (MOFs) during the following 10 years. Fracture proportions of 6.9% for MOFs and 2.2% for hip fractures were expected, as opposed to 13.5% and 2.9% observed. The area under the receiver operating characteristic curve (AUC) of FRAX scores calculated without the inclusion of bone mineral density (BMD) data was 0.65 (95% confidence interval: 0.65, 0.66) for MOF and 0.82 (95% confidence interval: 0.81, 0.82) for hip fracture. A total of 16,578 subjects had BMD data at the index date, and their risk estimates based solely on BMD exhibited lower predictive performance for both MOFs (AUC = 0.62 vs. 0.65; P = 0.003) and hip fractures (AUC = 0.78 vs. 0.84; P < 0.001) as compared with FRAX. FRAX scores based on electronic health records provided reasonable discrimination despite some underestimation of the absolute risk of nonhip fractures. Integration of FRAX with routine clinical systems could increase implementation in daily practice and improve risk detection, especially for patients without BMD data.

Evaluation of Different Screening Tools for Predicting Femoral Neck Osteoporosis in Rural South Indian Postmenopausal Women

The measurement of bone mineral density by dual-energy X-ray absorptiometry scan is the "gold standard" for the diagnosis of osteoporosis, which has limited availability in many parts of India. This study was done to assess the diagnostic performance of 6 internationally validated tools (Simple Calculated Osteoporosis Risk Estimation [SCORE], age, bulk, one or never estrogen [ABONE], Osteoporosis Risk Assessment Instrument [ORAI] and Osteoporosis Self-Assessment Tool for Asians [OSTA], Fracture Risk Assessment Tool [FRAX®], and calcaneal quantitative ultrasound [QUS]) for the diagnosis of osteoporosis at the femoral neck (FN). This was a cross-sectional study conducted in 2108 ambulatory South Indian rural postmenopausal women who were assessed with SCORE, ABONE, ORAI, OSTA, and FRAX® tools. QUS was performed in 850 subjects. Bone mineral density was estimated by dual-energy X-ray absorptiometry scan at the FN, and sensitivity and specificity were calculated for all tools for predicting FN osteoporosis. The receiver operating characteristic curve was constructed for each tool and the area under the curve (AUC) was calculated. FN osteoporosis was seen in 27%. The sensitivities of SCORE, ABONE, OSTA, ORAI, FRAX®, and QUS were 91.3%, 91.0%, 88.5%, 81.0%, 72.7%, and 81.9%, and the specificities were 36.0%, 33.5%, 41.7%, 52.0%, 60.5%, and 50.3%, respectively, for the FN osteoporosis. When the receiver operating characteristics were constructed, the AUC was good only for SCORE (0.806), and the performance of the rest was under fair category (0.713-0.766). In our large cohort of rural postmenopausal women, the SCORE screening tool was found to be useful with good sensitivity and good AUC for predicting FN osteoporosis. Thus, this tool may be used in resource-limited countries to screen the population at risk and to enable treating physicians to make appropriate management decisions.

Complex interventions can increase osteoporosis investigations and treatment: a systematic review and meta-analysis

Osteoporosis is affecting over 200 million people worldwide. Despite available guidelines, care for these patients remains sub-optimal. We developed an osteoporosis tool to address the multiple dimensions of chronic disease management. Findings from its evaluation showed a significant increase from baseline in osteoporosis investigations and treatment, so we are revising this tool to include multiple chronic conditions including an update of evidence about osteoporosis. Our objectives were to conduct a systematic review of osteoporosis interventions in adults at risk for osteoporosis. We searched bibliometric databases for randomized controlled trials (RCTs) in any language evaluating osteoporosis disease management interventions in adults at risk for osteoporosis. Reviewer pairs independently screened citations and full-text articles, extracted data, and assessed risk of bias. Analysis included random effects meta-analysis. Primary outcomes were osteoporosis investigations and treatment, and fragility fractures. Fifty-five RCTs and one companion report were included in the analysis representing 165,703 patients. Our findings from 55 RCTs and 18 sub-group meta-analyses showed that complex implementation interventions with multiple components consisting of at least education + feedback + follow-up significantly increased the initiation of osteoporosis medications, and interventions with at least education + follow-up significantly increased the initiation of osteoporosis investigations. No significant impact was found for any type of intervention to reduce fracture. Complex interventions that include at least education + follow-up or feedback have the most potential for increasing osteoporosis investigations and treatment. Patient education appears to be an important component in osteoporosis disease management.

Agreement between calcaneal quantitative ultrasound and osteoporosis self-assessment tool for Asians in identifying individuals at risk of osteoporosis

Background

Calcaneal quantitative ultrasound (QUS) is a useful tool in osteoporosis screening. However, QUS device may not be available at all primary health care settings. Osteoporosis self-assessment tool for Asians (OSTA) is a simple algorithm for osteoporosis screening that does not require any sophisticated instruments. This study explored the possibility of replacing QUS with OSTA by determining their agreement in identifying individuals at risk of osteoporosis.

Methods

A cross-sectional study was conducted to recruit Malaysian men and women aged ≥50 years. Their bone health status was measured using a calcaneal QUS device and OSTA. The association between OSTA and QUS was determined using Spearman’s correlation and their agreement was assessed using Cohen Kappa and receiver-operating curve.

Results

All QUS indices correlated significantly with OSTA (p<0.05). The agreement between QUS and OSTA was minimal but statistically significant (p<0.05). The performance of OSTA in identifying subjects at risk of osteoporosis according to QUS was poor-to-fair in women (p<0.05), but not statistically significant for men (p>0.05). Changing the cut-off values improved the performance of OSTA in women but not in men.

Conclusion

The agreement between QUS and OSTA is minimal in categorizing individuals at risk of osteoporosis. Therefore, they cannot be used interchangeably in osteoporosis screening.

A review on the performance of osteoporosis self-assessment tool for Asians in determining osteoporosis and fracture risk

The prevalence of osteoporosis in Asian countries is growing. An effective screening method will enable patients at risk for osteoporosis to receive early diagnosis and treatment, and avoid overcrowding the limited dual-energy x-ray absorptiometry (DXA) machines available in Asian countries. Many simple osteoporosis screening algorithms have been developed but they are not validated for use in Asian populations. osteoporosis self-assessment tools for Asians (OSTA), established using a multinational Asian cohort, is the first screening algorithm that caters for the Asian populations. It considers only body weight and age in the algorithm. It shows consistently high performance and sensitivity in identifying postmenopausal women at risk for osteoporosis in many Asian countries. Its usage has been expanded for identifying osteoporosis in men, as well as determining fracture risk for both sexes. However, the performance of OSTA is influenced by age, sex, ethnicity and site of BMD measurement to define osteoporosis. Its usage is also limited in individuals without apparent risk factors. These limitations should be noted by physicians considering the use of OSTA in clinical setting. As a conclusion, OSTA is a cost-effective measure for osteoporosis screening in primary healthcare setting.

Qianggu capsule for the treatment of primary osteoporosis: evidence from a Chinese patent medicine

BACKGROUND

Qianggu Capsule, a Chinese patent medicine, has been widely applied in the clinical practice of primary osteoporosis (POP) in recent years. This study aims to summarize the effectiveness and safety of Qianggu Capsule in treating POP.

METHODS

We searched seven electronic databases, all searches ended in 30 September, 2015. All randomised controlled trials comparing the efficacy of Qianggu Capsule treatment with no treatment, placebo or conventional therapy for POP were included. Combined therapies of Qianggu Capsule were also included. Cochrane risk of bias tool was used to assess methodological quality of primary studies. Revman 5.2.0 software was used for data analysis.

RESULTS

Ten trials were enrolled. The combined effect showed that Qianggu Capsule plus Caltrate D was better than Caltrate D on lumbar spine bone mineral density (BMD) (MD = 0.05 g/cm²; 95% CI: 0.02-0.07; P = 0.0004), femoral neck BMD (MD = 0.03 g/cm²; 95% CI: 0.01-0.05; P = 0.001), femoral great trochanter BMD (MD = 0.04 g/cm²; 95% CI: 0.03-0.06; P < 0.001). Meta-analysis exhibited a significant antiosteoporosis effect of Qianggu Capsule on femoral neck BMD (MD = 0.03 g/cm²; 95% CI: 0.01-0.05; P = 0.003) and femoral trochanteric BMD (MD = 0.07 g/cm²; 95% CI: 0.02-0.12; P = 0.006) compared with α-D3 capsule. However, the methodological quality of included studies was low. Constipation and dry mouth were the most common adverse drug reactions of Qianggu Capsule. Finally the evidence level was evaluated to be low or very low.

CONCLUSIONS

The effect of Qianggu Capsule for POP was supported in improving BMD. Due to the methodological drawbacks of the included studies, the conclusions should be treated with caution for future research.

Lysine-specific demethylase 1 inhibitor rescues the osteogenic ability of mesenchymal stem cells under osteoporotic conditions by modulating H3K4 methylation

Bone tissue engineering may be hindered by underlying osteoporosis because of a decreased osteogenic ability of autologous seed cells and an unfavorably changed microenvironment in these patients. Epigenetic regulation plays an important role in the developmental origins of osteoporosis; however, few studies have investigated the potential of epigenetic therapy to improve or rescue the osteogenic ability of bone marrow mesenchymal stem cells (BMMSCs) under osteoporotic conditions. Here, we investigated pargyline, an inhibitor of lysine-specific demethylase 1 (LSD1), which mainly catalyzes the demethylation of the di- and mono-methylation of H3K4. We demonstrated that 1.5 mmol·L⁻¹ pargyline was the optimal concentration for the osteogenic differentiation of human BMMSCs. Pargyline rescued the osteogenic differentiation ability of mouse BMMSCs under osteoporotic conditions by enhancing the dimethylation level of H3K4 at the promoter regions of osteogenesis-related genes. Moreover, pargyline partially rescued or prevented the osteoporotic conditions in aged or ovariectomized mouse models, respectively. By introducing the concept of epigenetic therapy into the field of osteoporosis, this study demonstrated that LSD1 inhibitors could improve the clinical practice of MSC-based bone tissue engineering and proposes their novel use to treat osteoporosis.