An overview of the use of the fracture risk assessment tool (FRAX) in osteoporosis

Association of a Combined Body Mass Index and Regional Body Fat Percentage Metric With Fragility Fracture Risk: Evidence from a Large Observational Cohort

BACKGROUND

Evidence suggests that high body fat and low muscle mass may increase the risk of fragility fractures. However, current fracture risk models, which largely rely on body mass index (BMI), may not fully capture these compositional factors. We recommend integrating additional body composition variables into fracture risk calculators to improve accuracy. Previously, we described partial body fat percentage (PBF%), a novel measure that is routinely available and calculated as the proportion of fat at the lumbar spine and hip during DXA scans. We hypothesize that a combined BMI and PBF% approach (BMI/PBF%) could be associated with fragility fracture.

METHODS

Patients were referred to our DXA scanner between June 2004 and February 2024 and had combined lumbar spine and bilateral femoral scans. Patients were initially categorized by BMI (underweight, normal weight, overweight and obese) and then divided into tertiles of PBF%. Based on each patient's unique combination of BMI and PBF% tertile, they were stratified into 12 binary BMI/PBF% groups for analysis. Multivariable logistic regression models, reporting odds ratios (OR), with BMI/PBF% groups as the independent variables and fragility fractures as the dependent variable were fit, with all results adjusted for known fracture risk factors.

RESULTS

We analysed 36 235 patients (83.4% female, 16.6% male), of whom 14 342 (39.5%) reported fragility fractures. The median (IQR) age was 67.7 (57.5-75.0) years, with a BMI of 26.4 (23.3-30.2) kg/m2 and PBF% of 30.6% (25.5% - 35.4%). In females, those in the lowest PBF% tertile had reduced odds of fragility fractures across all BMI categories (e.g., obese low PBF%: OR 0.70, 95% CI 0.64-0.78), whereas in males, this reduction was observed only amongst overweight and obese individuals (e.g., obese low PBF%: OR 0.71, 95% CI 0.57-0.88). No association was found for patients in the middle PBF% tertile across any BMI group. In contrast, females in the highest PBF% tertile exhibited increased odds of fractures across all BMI categories except underweight (e.g., obese high PBF%: OR 1.31, 95% CI 1.22-1.42), and a similar pattern was seen in males, but limited to the overweight and obese groups (e.g., obese high PBF%: OR 1.27, 95% CI 1.04-1.55).

CONCLUSION

High or low PBF% within BMI categories is associated with fragility fractures, challenging the traditional notion that high BMI protects against fractures. This study highlights the importance of body composition measures beyond BMI in fracture risk assessment.

The Extensive Study of Magnesium Deficiency, 25-(OH) Vitamin D3, Inflammatory Markers, and Parathyroid Hormone in Relation to Bone Mineral Density in Iraqi Osteoporosis Patients: A Cross-Sectional Study

Backgrounds and Aims

Magnesium is essential for bone development and mineralization and may influence osteoporosis progression. However, its relationship with low bone mineral density (BMD) and fracture risk is not well understood. This study aimed to identify the primary risk factors and the effect of magnesium deficiency on bone density in osteoporosis patients.

Methods

The study involved 162 adults categorized into normal, osteopenia, and osteoporosis groups, plus 50 healthy individuals. BMD of the lumbar spine (L1-L4) and femur neck, body mass index, and T-scores were assessed via dual-energy X-ray absorptiometry, while serum magnesium, 25-(OH) Vitamin D3, inflammatory markers, and other clinical tests were measured. The results showed significant variations in BMD, T-scores, magnesium, and vitamin 25(OH)D levels.

Results

Notably, osteoporosis patients exhibited a substantial decline in mean BMD along with an increase in mean T-scores. They also had significantly lower serum levels of magnesium, vitamin 25(OH)D, and calcium, compared to other groups, while parathyroid hormone levels slightly increased. Inflammatory markers were significantly elevated in osteoporosis patients. Magnesium and vitamin 25(OH)D showed an inverse relationship with T-scores and a direct positive correlation with BMD and bone mineral content. Additionally, a negative correlation between magnesium and inflammatory markers was observed. The findings highlighted a strong correlation between magnesium deficiency and osteoporosis, with a more significant odds ratio compared to factors like 25(OH)D, PTH, BMD, T-score, and calcium.

Conclusion

Magnesium deficiency has a more pronounced impact on bone health than vitamin D deficiency. Thus, magnesium deficiency emerges as a major risk factor for osteoporosis progression and a predictor of fracture incidence in patients with osteoporosis or osteopenia.

Assessment of the 10-Year Probability of Fracture Using Femoral Neck (FRAX) and Lumbar BMD (FRAXplus) in Menopausal Women with Non-Functioning Adrenal Tumors: Where We Stand Today (A Study-Focused Analysis)

Background/Objective: Osteoporotic fractures may be prevalent, as expected, in patients with primary osteoporosis such as menopause-related or age-related bone loss, but a supplementary contribution to the risk may be added by less than common conditions, including a non-functioning adrenal tumor with or without mild autonomous cortisol secretion (MACS). Many of the standard fracture risk-related elements are captured by the FRAX model; yet, novel insights are brought by an improved algorithm, namely, FRAXplus. Our objective was to analyze the fracture risk in menopausal females diagnosed with low bone mineral density (BMD) and MACS-negative adrenal incidentalomas using FRAXplus (lumbar BMD adjustment). Methods: This as a retrospective, multi-center study of 66 menopausal women, where 50% of them had non-MACS adrenal tumors (group A), and 33 were controls (group B). They were put into four sub-groups, either group A1 (N = 14/33 subjects with normal DXA), or A2 (19/33 subjects with lowest T-score < -1), or group B1 (14/33) where subjects had normal DXA, or group B2 (19/33) for subjects with low BMD. Results: The sub-groups were matched on age, body mass index, and years since menopause, as well BMD matched (A versus B, A1 versus B1, A2 versus B2). FRAX analysis showed similar results for 10-year probability between groups A and B, and A2 and B2, while lumbar BMD adjustment showed statistically significant lower risk in group A1 versus B1 (p = 0.013), but not for hip fracture (p = 0.064). Conclusions: we introduced a pilot study in the FRAXplus model regarding adrenal tumors diagnosed in menopausal females with or without low BMD at central DXA assessment, a pilot study that to the best of our knowledge represents the first of this kind due to the novelty of using this fracture risk calculator with lumbar BMD adjustment. FRAXplus algorithm might be a better discriminator for fracture risk in these patients since we found that in age-, BMI-, and years since menopause-matched sub-groups, patients with normal DXA and MACS-free adrenal incidentalomas display a lower 10-year probability of major osteoporotic fractures than controls upon lumbar BMD adjustment.

Osteoporosis Evaluation by Radiofrequency Echographic Multispectrometry (REMS) in Primary Healthcare

Background/Objectives: Radiofrequency echographic multispectrometry (REMS) technology has emerged as a promising alternative for osteoporosis diagnosis. This non-ionising, portable and accessible method enables early detection of osteoporosis in primary healthcare settings. The aim of this study was to assess the effectiveness of REMS in evaluating osteoporosis within primary healthcare. Methods: Bone mineral density was assessed in 86 participants trough 172 scans of the lumbar spine and femur, using REMS technology in two Portuguese primary healthcare units in Guarda. Results: In the lumbar spine evaluation, 51.2% of the participants had osteopenia and 31.4% osteoporosis; in the femur evaluation, 43.0% had osteopenia and 34.9% osteoporosis. The data indicated a significant prevalence of bone fragility. The bone mineral density estimated by radiofrequency echographic multispectrometry showed good agreement with the clinical diagnosis, suggesting that this technology is effective in the early detection of osteoporosis. Conclusions: Bone densitometry using REMS method, performed by a radiographer in primary healthcare settings, offers a viable and innovative alternative for the effective detection of osteoporosis and osteopenia.

Biomechanical perspectives on image-based hip fracture risk assessment: advances and challenges

Hip fractures pose a significant health challenge, particularly in aging populations, leading to substantial morbidity and economic burden. Most hip fractures result from a combination of osteoporosis and falls. Accurate assessment of hip fracture risk is essential for identifying high-risk individuals and implementing effective preventive strategies. Current clinical tools, such as the Fracture Risk Assessment Tool (FRAX), primarily rely on statistical models of clinical risk factors derived from large population studies. However, these tools often lack specificity in capturing the individual biomechanical factors that directly influence fracture susceptibility. Consequently, image-based biomechanical approaches, primarily leveraging dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography (QCT), have garnered attention for their potential to provide a more precise evaluation of bone strength and the impact forces involved in falls, thereby enhancing risk prediction accuracy. Biomechanical approaches rely on two fundamental components: assessing bone strength and predicting fall-induced impact forces. While significant advancements have been made in image-based finite element (FE) modeling for bone strength analysis and dynamic simulations of fall-induced impact forces, substantial challenges remain. In this review, we examine recent progress in these areas and highlight the key challenges that must be addressed to advance the field and improve fracture risk prediction.

Developing and Evaluating an Interactive, Case-Based, Web-Based Active Learning Tool for Primary Care Physicians (Community Fracture Capture Learning Hub): Protocol for an Acceptability and Engagement Study

BACKGROUND

The lack of osteoporosis treatment initiation after fragility fractures is a significant gap, especially in primary care. It is unclear whether barriers for primary care physicians (PCPs) arise from uncertainty about investigations, treatment initiation, or medication side effects. Key questions remain about whether active learning platforms improve treatment initiation rates better than passive methods and how PCP demographics affect learning outcomes. With PCPs increasingly using web-based platforms for continuing professional development due to time constraints and heavy workloads, an interactive community fracture capture (CFC) tool may serve as an effective alternative to in-person learning. Our CFC pilot study tested this new program's design and content, showing promising potential.

OBJECTIVE

We aim to evaluate the interactive, case-based, web-based CFC Learning Hub, examining user acceptance and engagement with the platform, focusing on participants' interactions, satisfaction levels, and overall experience.

METHODS

Participating PCPs are recruited through Praxhub, a web-based medical education platform, and provide electronic consent for data use after deidentification. They have been allocated into small groups (12-20 members) and join the CFC Learning Hub, a secure web-based community. This hub includes a web-based discussion forum with participant-contributed case studies and a knowledge repository. Over the 6-week program, participants will receive weekly modules with instructions, resources, discussion threads, and quizzes, along with interactive discussions moderated by experienced PCPs and physicians. The platform also hosts web-based surveys that, in combination with platform analytics, allow assessment of baseline knowledge gaps, level of activity or engagement, and improvements following the course completion. This study protocol demonstrates the creation and proposed evaluation of the CFC Learning Hub, featuring an interactive, case-based, small-group web-based learning platform equipped with flexibly scheduled, tailored modules to address the fracture treatment gap within the community. Both qualitative (via thematic analysis) and quantitative (by using 2-tailed paired t tests, Wilcoxon signed rank tests, and multivariable regression analysis) analyses will be used to assess levels of engagement and acceptance and changes in PCPs' knowledge and confidence after engagement with the CFC Learning Hub.

RESULTS

Recruitment of participants started in May 2022. Data collection, analysis, and reporting will be completed following the completion of four 6-week cycles of the program.

CONCLUSIONS

The study described in this protocol will provide important insights into the function and effectiveness of the CFC Learning Hub. This information will guide the expansion of the program. This initiative offers a simple digital solution for promoting current bone health practices tailored to PCPs' needs and thereafter to expand the rollout of the e-learning hub and implementation of fracture liaison models at a primary care level in Australia and elsewhere. Future applications may extend to other clinical areas and professions.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/57511.

Fracture Risk Assessment in Metabolic Syndrome in Terms of Secondary Osteoporosis Potential. A Narrative Review

Osteoporosis is a major global public health problem with the associated bone fractures contributing significantly to both morbidity and mortality. In many countries, osteoporotic fractures will affect one in three women and one in five men over the age of 50. Similarly, diabetes, obesity, and metabolic syndrome (MetS) are among the leading public health problems due to their worldwide prevalence and burden on health budgets. Although seemingly disparate, metabolic disorders are known to affect bone health, and the interaction between fat and bone tissue is increasingly well understood. For example, it is now well established that diabetes mellitus (both type 1 and 2) is associated with fracture risk. In this narrative review, we focus on the potential link between MetS and bone health as expressed by bone mineral density and fracture risk. This narrative review demonstrates the association of MetS and its components with increased fracture risk, and also highlights the need for fracture risk assessment in patients with obesity and MetS.

Fracture Risk Assessment in the 2023 Osteoporosis Canada Guideline

Radiologists and other diagnostic imaging specialists play a pivotal role in the management of osteoporosis, a highly prevalent condition of reduced bone strength and increased fracture risk. Bone mineral density (BMD) measurement with dual-energy X-ray absorptiometry (DXA) is a critical component of identifying individuals at high risk for fracture. Strategies to prevent fractures are consolidated in the Osteoporosis Canada clinical practice guideline which was updated in 2023. In this guideline, treatment recommendations are based upon a consideration of fracture history, 10-year major osteoporotic fracture (MOF) risk, and BMD T-score in conjunction with age. The current review aims to familiarize radiologists and other diagnostic imaging specialists with the reporting requirements needed to support implementation of this guideline using the FRAX™ risk calculation tool. Fortunately, for specialists already familiar with the Canadian Association of Radiologists and Osteoporosis Canada (CAROC) tool, the transition to FRAX-based reporting is readily accommodated in a radiology workflow.

Updated practice guideline for dual-energy X-ray absorptiometry (DXA)

The introduction of dual-energy X-ray absorptiometry (DXA) technology in the 1980s revolutionized the diagnosis, management and monitoring of osteoporosis, providing a clinical tool which is now available worldwide. However, DXA measurements are influenced by many technical factors, including the quality control procedures for the instrument, positioning of the patient, and approach to analysis. Reporting of DXA results may be confounded by factors such as selection of reference ranges for T-scores and Z-scores, as well as inadequate knowledge of current standards for interpretation. These points are addressed at length in many international guidelines but are not always easily assimilated by practising clinicians and technicians. Our aim in this report is to identify key elements pertaining to the use of DXA in clinical practice, considering both technical and clinical aspects. Here, we discuss technical aspects of DXA procedures, approaches to interpretation and integration into clinical practice, and the use of non-bone mineral density measurements, such as a vertebral fracture assessment, in clinical risk assessment.

Osteoporosis in Older Men: Informing Patient Management and Improving Health-Related Outcomes

Osteoporosis has been usually considered a female disease, generally causing more fracture risk and complications in adult and older women compared to older men. While vertebral fractures occur in a small proportion of men during middle age, men generally fracture about 10 years later than women, with significant increases in fracture risk after about age 75. Independent of age, men experiencing fragility fractures have a higher risk of life-threatening events compared to women, but the risk of secondary fragility fracture overlaps between men and women. Often, male osteoporosis recognizes the overlap between secondary causes and primary osteoporosis risk factors. Assessment through physical examination, history, and laboratory tests is recommended, with dual-energy X-ray absorptiometry of bone density being the preferred diagnostic test for osteoporosis in men. A treatment program should include awareness of diet and vitamin D status, fall risk reduction, and pharmaceutical therapy. Medications that are fracture-reducing in older women should also achieve fewer fractures in older men; however, there is a paucity of studies in men with the primary outcome of fracture risk reduction. Most older men with osteoporosis should be treated with oral or intravenous bisphosphonates, denosumab especially when on androgen deprivation therapy, and initial anabolic treatment should be considered for men at very high risk of fracture. This review summarizes the main features of osteoporosis and fragility fractures in men and reports findings from the available pharmacological and non-pharmacological studies conducted in men.

The use of the FRAX® tool and its adjustments in women living with diabetes: a cohort study in primary care in Brazil

The FRAX® algorithm showed good accuracy in women living with DM followed in primary care. There were no differences between the ROC curve with and without adjustments for major and hip fractures. The FRAX® 10-year and FRAX® AR were better calibrated in this population.

PURPOSE

An increased risk of fractures in people living with diabetes has been described. Screening instruments to calculate this risk have been proposed, including the FRAX® algorithm. Some studies suggest that minor modifications to this instrument can improve its performance. These modifications work well in other countries, but we do not know if they work in Brazil. The objective of our study was to evaluate the performance of the FRAX® algorithm with and without adjustments for women living with DM (WLDM) in primary care in Brazil.

METHODS

A cohort study that included post-menopausal women attending primary care in Santa Maria, Brazil, was conducted from 2013 to 2018. The risk for major and hip fractures was calculated using the FRAX® tool. The FRAX® risk was calculated: (1) without adjustments (unadjusted FRAX®); (2) increasing the entered age by 10 years in individuals with DM (FRAX® 10 years); and (3) inserting the diagnosis of DM as rheumatoid arthritis (FRAX® AR).

RESULTS

The accuracy for major fracture was 0.948 (unadjusted FRAX®), 0.947 (FRAX® 10 years), and 0.946 (FRAX® AR). For hip fractures, the accuracies were 0.989 (unadjusted FRAX®), 0.988 (FRAX® 10 years), and 0.988 (FRAX® AR). Furthermore, there were no differences between the area under the ROC curve with and without adjustments for major and hip fractures. Conversely, the FRAX® 10 years and the FRAX® AR were better calibrated, presenting a lower Chi-square.

CONCLUSION

The FRAX® algorithm showed good accuracy in WLDM followed in primary care. The FRAX® 10 years and FRAX® AR were better calibrated in this population.

Rehabilitative good clinical practice in the treatment of osteoporosis: a comprehensive review of clinical evidences

PURPOSE

Clinical practice guidelines (CPGs) are essential for guiding rehabilitation interventions. However, CPGs specifically addressing rehabilitation for osteoporosis patients remain scarce in the literature. This review aims to present, compare, and summarize recent guidelines and evidence, highlighting best practices in osteoporosis rehabilitation management.

MATERIALS AND METHODS

A total of 19 guidelines were identified following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Three independent appraisers assessed the quality of each CPG using the Appraisal of Guidelines for Research and Evaluation version II (AGREE II) instrument. Standardized domain and overall quality scores were calculated, and intraclass correlation coefficients (ICCs) were used to assess the level of agreement among the appraisers.

RESULTS

Agreement among appraisers for AGREE II scores ranged from moderate to very good (ICC = 0.60 to 0.90). The quality of the included CPGs varied significantly, with AGREE sub-scores ranging from 48.25% to 75.73%. The Level of Evidence (LoE) and Grade of Recommendation (GoR) differed across the guidelines included in this review. Information on exercise types, intensity, frequency, duration, and contraindications were inconsistent among CPGs.

CONCLUSIONS

Recommendations regarding exercise parameters were often vague and inconsistent between CPGs, necessitating critical evaluation by healthcare providers when making clinical decisions.

Age at First Fracture and Later Fracture Risk in Older Adults Undergoing Osteoporosis Assessment

Importance

Fragility fractures are often defined as those that occur after a certain age (eg, 40-50 years). Whether fractures occurring in early adulthood are equally associated with future fractures is unclear.

Objective

To examine whether the age at which a prior fracture occurred is associated with future fracture risk.

Design, Setting, and Participants

This observational, population-based cohort study included individuals from the Manitoba Bone Mineral Density Registry with a first bone mineral density (BMD) measurement between January 1, 1996, and March 31, 2018, with and without prior fracture in adulthood. Data analysis was completed between April 1, and May 31, 2023.

Exposure

Individuals with fractures before their first dual-energy x-ray absorptiometry were stratified by the age at first fracture (10-year intervals from 20-29 to ≥80 years of age).

Main Outcomes and Measures

Incident fractures occurring after dual-energy x-ray absorptiometry (index date) and before March 31, 2021, were identified using linked provincial administrative health data.

Results

The cohort included 88 696 individuals (80 066 [90.3%] female; mean [SD] age, 64.6 [11.0] years) with a mean (SD) femoral neck T score of -1.4 (1.0). A total of 21 105 individuals (23.8%) had sustained a prior fracture at a mean (SD) age of 57.7 (13.6) years (range, 20.0-102.4 years) at the time of first prior fracture. During a mean (SD) of 9.0 (5.5) years of follow-up, incident fractures occurred in 13 239 individuals (14.6%), including 12 425 osteoporotic fractures (14.0%), 9440 major osteoporotic fractures (MOFs) (10.6%), and 3068 hip fractures (3.5%). The sex- and age-adjusted hazard ratios for all incident fractures, osteoporotic fractures, and MOFs, according to age at first fracture, were all significantly elevated, with point estimates ranging from 1.55 (95% CI, 1.28-1.88) to 4.07 (95% CI, 2.99-5.52). After adjusting for the additional covariates, the effect estimates were similar and remained significantly elevated, with point estimates ranging from fully adjusted hazard ratios of 1.51 (95% CI, 1.42-1.60) to 2.12 (95% CI, 1.67-2.71) across age categories. Sensitivity analyses examining age at last prior fracture and in those with multiple prior fractures showed similar results.

Conclusions and Relevance

In this cohort study, fractures in adulthood were associated with future fractures regardless of the age at which they occurred. Thus, fractures in early adulthood should not be excluded when assessing an individual's ongoing fracture risk.

The Fracture Phenotypes in Women and Men of 50 Years and Older with a Recent Clinical Fracture

PURPOSE OF REVIEW

We review the literature about patients 50 years and older with a recent clinical fracture for the presence of skeletal and extra-skeletal risks, their perspectives of imminent subsequent fracture, falls, mortality, and other risks, and on the role of the fracture liaison service (FLS) for timely secondary fracture prevention.

RECENT FINDINGS

Patients with a recent clinical fracture present with heterogeneous patterns of bone-, fall-, and comorbidity-related risks. Short-term perspectives include bone loss, increased risk of fractures, falls, and mortality, and a decrease in physical performance and quality of life. Combined evaluation of bone, fall risk, and the presence of associated comorbidities contributes to treatment strategies. Since fractures are related to interactions of bone-, fall-, and comorbidity-related risks, there is no one-single-discipline-fits-all approach but a need for a multidisciplinary approach at the FLS to consider all phenotypes for evaluation and treatment in an individual patient.

Utility of Trabecular Bone Score in the Management of Patients with Osteoporosis

Trabecular bone score (TBS) enhances assessment of fracture risk in older women and men across many race/ethnicities and with a broad range of comorbidities. The best validated clinical utility of TBS is for input in the FRAX algorithm to modify assessment of fracture risk in patients who are close to FRAX-based intervention thresholds, thereby possibly influencing treatment decisions. TBS has been shown to increase with anabolic therapy and to a lesser degree with denosumab. TBS-adjusted T-scores may be useful with treatment guidelines that do not include FRAX.

A practical approach for anabolic treatment of bone fragility with romosozumab

BACKGROUND

Romosozumab, a fully humanized anti-sclerostin-antibody, is a bone-builder stimulating osteoblasts and inhibiting osteoclast by activation of the canonical Wnt-beta catenin signaling. This unique mechanism of action has the potential to address unmet needs in osteoporosis management.

METHODS

The multifaceted practical clinical issues related to romosozumab are discussed, especially focusing on the rationale of employing a sclerostin inhibitor to target bone fragility as first line or second line treatment in post-menopausal osteoporosis and in males at increased risk of fractures.

RESULTS

Four randomized clinical trials with several post-hoc analyses and more than ten observational studies have consistently demonstrated that romosozumab is effective in rapidly increasing bone mineral density (BMD) and decreasing risk of vertebral, non-vertebral and hip fractures in post-menopausal women at very-high risk of fractures. In male osteoporosis, only data on BMD are available. Noteworthy, romosozumab was shown to be more effective and rapid than teriparatide in improving BMD, bone structure and strength at the hip, especially in women already treated with anti-resorptive drugs. Interestingly, even if romosozumab displays best results in treatment-naïve patients, its favourable effects on BMD were observed even in women previously treated with teriparatide or denosumab, although to a lesser extent.

CONCLUSIONS

Based on the available evidence, romosozumab could be proposed as ideal drug in several clinical settings, such as non-fractured post-menopausal women at very-high risk of fractures, patients with recent hip fracture, patients non responder to bisphosphonates and short-term denosumab therapy.

Osteopenia: a key target for fracture prevention

Osteopenia was originally a qualitative term denoting bone that appeared to be less dense on radiographs. Since 1994, it has also had the quantitative meaning of a bone mineral density (BMD) T-score between -1·0 and -2·5. More than 60% of White women older than 64 years are osteopenic. Although fracture risk is often lower in osteopenic women than in those with osteoporosis, their greater number means that most fractures occur in osteopenic individuals. Fracture risk varies widely in the osteopenic range, depending on factors including BMD, age, fracture history, and nationality and ethnicity. Therefore, the diagnosis of osteopenia is not an indication for either intervention or reassurance, but BMD is a risk factor that should be incorporated into a quantitative fracture risk calculation. Evidence from trials shows that oral and intravenous bisphosphonates cost-effectively reduce fractures in older osteopenic women. Major osteoporotic fracture risks of 10-15% could be acceptable indications for treatment with generic bisphosphonates in patients older than 65 years motivated to receive treatment. This Review assesses the evidence relating to the management of older adults with osteopenic bone densities.

Insulin resistance, bone health, and fracture risk

Insulin resistance, defined as an impaired biological response to insulin stimulation in target tissues, arises most frequently in the presence of central obesity. Although obesity is generally associated with increased bone mass, recent data challenge this view and, if complicated by T2DM, obese patients are at high risk for fragility fractures. IR may play a key role in this increased fracture risk through effects on bone quality rather than bone quantity. Further understanding of the mechanisms and approaches to prevent osteoporotic fractures in IR-related diseases is needed.

CLINICAL RELEVANCE

The dramatic increase in obesity and metabolic syndrome (MetS) over the last half-century has led to a worldwide epidemic of type 2 diabetes mellitus (T2DM) as well as in the incidence of insulin resistance (IR). IR is defined as an impaired biological response to insulin stimulation in target tissues and is primarily related to the liver, muscle, and adipose tissue. The most frequent underlying cause is central obesity, and it is known that excess abdominal adipose tissue secretes increased amounts of free fatty acids, which directly affects insulin signalling, reduces glucose uptake in muscle, and triggers excessive triglyceride synthesis and gluconeogenesis in the liver. When pancreatic β cells are unable to secrete the higher levels of insulin needed, T2DM, the main complication of IR, occurs.

OBSERVATIONS

Although obesity is generally associated with increased bone mass, recent data challenge this view and highlight the multifaceted nature of the obesity-bone relationship. Patients with T2DM are at significant risk for well-known complications of diabetes, including retinopathy, nephropathy, macrovascular disease, and neuropathy, but it is clear that they are also at high risk for fragility fractures. Moreover, recent data provide strong evidence that IR may key role in the increased fracture risk observed in both obesity and T2DM.

CONCLUSIONS

In this concise review article, the role of IR in increased risk of osteoporotic fractures in MetS, obesity, and T2DM is discussed and summarised, including consideration of the need for fracture risk assessment as a 'preventive measure', especially in patients with T2DM and chronic MetS with abdominal obesity. Personalised and targeted diagnostic and therapeutic approaches to prevent osteoporotic fractures in IR-related diseases are needed and could make significant contributions to health outcomes.

Fracture Risk Prediction Using the Fracture Risk Assessment Tool in Individuals With Cancer

Importance

The Fracture Risk Assessment Tool (FRAX) is a fracture risk prediction tool for 10-year probability of major osteoporotic fracture (MOF) and hip fracture in the general population. Whether FRAX is useful in individuals with cancer is uncertain.

Objective

To determine the performance of FRAX for predicting incident fractures in individuals with cancer.

Design, Setting, and Participants

This retrospective population-based cohort study included residents of Manitoba, Canada, with and without cancer diagnoses from 1987 to 2014. Diagnoses were identified through the Manitoba Cancer Registry. Incident fractures to March 31, 2021, were identified in population-based health care data. Data analysis occurred between January and March 2023.

Main Outcomes and Measures

FRAX scores were computed for those with bone mineral density (BMD) results that were recorded in the Manitoba BMD Registry.

Results

This study included 9877 individuals with cancer (mean [SD] age, 67.1 [11.2] years; 8693 [88.0%] female) and 45 877 individuals in the noncancer cohort (mean [SD] age, 66.2 [10.2] years; 41 656 [90.8%] female). Compared to individuals without cancer, those with cancer had higher rates of incident MOF (14.5 vs 12.9 per 1000 person-years; P < .001) and hip fracture (4.2 vs 3.5 per 1000 person-years; P = .002). In the cancer cohort, FRAX with BMD results were associated with incident MOF (HR per SD increase, 1.84 [95% CI, 1.74-1.95]) and hip fracture (HR per SD increase, 3.61 [95% CI, 3.13-4.15]). In the cancer cohort, calibration slopes for FRAX with BMD were 1.03 for MOFs and 0.97 for hip fractures.

Conclusions and Relevance

In this retrospective cohort study, FRAX with BMD showed good stratification and calibration for predicting incident fractures in patients with cancer. These results suggest that FRAX with BMD can be a reliable tool for predicting incident fractures in individuals with cancer.

Low geriatric nutritional risk index is associated with osteoporosis and fracture risk in patients with chronic liver disease: a cross-sectional study

BACKGROUND

Patients with chronic liver disease (CLD) frequently suffer from malnutrition and bone diseases, both of which heighten the risk of poor clinical outcomes. This study investigated the relationship between geriatric nutritional risk index (GNRI) and osteoporosis or fracture risk using the fracture risk assessment tool (FRAX) in patients with CLD.

METHODS

This cross-sectional study included 209 consecutive patients with CLD. The participants were divided into two groups: the all-risk group (GNRI ≤ 98.0) with nutrition-related risk and the no-risk group (GNRI > 98.0) without nutrition-related risk. Osteoporosis was diagnosed according to the World Health Organization criteria. The FRAX was used to estimate the 10-year probabilities of hip fracture (FRAX-HF) and major osteoporotic fracture (FRAX-MOF).

RESULTS

Of the 209 patients, 72 (34.4%) had osteoporosis. The all-risk group had a significantly higher prevalence of osteoporosis than the no-risk group (p < 0.001). Conversely, patients with osteoporosis had significantly lower GNRI than those without osteoporosis (p < 0.001). Multivariate analysis found lower GNRI to be a significant and independent risk factor for osteoporosis (odds ratio [OR], 0.927; p < 0.001) and high fracture risk derived from FRAX (without BMD) (OR, 0.904; p = 0.009). GNRI had a positive correlation with bone mineral density (BMD) at the lumbar spine, femoral neck, and total hip, but a negative correlation with FRAX-HF and FRAX-MOF in the FRAX with and without BMD (p < 0.001 for all). The cutoff value of GNRI for predicting osteoporosis was 104.9, with sensitivity of 0.667 and specificity of 0.657.

CONCLUSIONS

The GNRI was significantly associated with osteoporosis and FRAX-derived fracture risk in patients with CLD, suggesting that it could be a simple and useful indicator for the management of bone diseases.

Osteoporosis and Normocalcemic Primary Hyperparathyroidism (Conservatively or Surgically Managed)

Asymptomatic primary hyperparathyroidism (PHPT) involves 80-90% of the parathyroid tumor-associated cases of PHPT in the modern medical era, while normocalcemic PHPT (NPHPT) has a prevalence of 0.1-11%. We aimed to analyze the bone status and mineral metabolism in NPHPT amid conservative or surgical management. In this narrative review, we searched PubMed (between January 2020 and July 2024) via different keywords. Fourteen studies from the final analysis (388 patients with NPHPT; 1188 with PHPT; and 803 controls) showed that mean serum calcium levels varied between 2.57 and 2.26 mmol/L in NPHPT. Ten studies identified a similar 24 h urinary calcium in NPHPT versus hypercalcemic PHPT (HPHPT). Except for one study, a mandatory vitamin D analysis was performed, but the 25-hydroxyvitamin D cut-offs varied. Osteoporosis (n = 6 studies; N = 172 with NPHPT) was confirmed in 41.7-100% of NPHPT subjects. In surgery candidates, this rate might be overestimated. A DXA analysis was performed in eight studies (235 subjects with NPHPT, and 455 patients with HPHPT); two studies identified a lower BMD in HPHPT < NPHPT, but the results were not homogenous. A single study analyzed the TBS and found similar results in NPHPT. The prevalence of fractures (n = 9) varied between 7.4% and 42.8% in NPHPT. Bone turnover markers (N = 262 patients, n = 8 studies) showed lower bone formation markers in NPHPT versus PHPT (n = 3). Two studies analyzed the BMD and bone turnover markers following parathyroidectomy (161 patients, including 30 patients with NPHPT; mean ages over 60 years). To conclude, given the wide spectrum of complications associated with PHPT, an early diagnosis and proper management is essential. A more extensive screening in patients with osteoporosis and kidney stones might lead to the discovery of NPHPT, a more recently described form of PHPT. While it is still unclear whether NPHPT is an early stage of HPHPT or a separate entity, recent findings show similar osteoporosis and fracture occurrence, and an improvement in bone metabolism, following parathyroidectomy. More extensive prospective studies are crucial to understand the natural course of the disease, to reach a consensus regarding parathyroidectomy indications and surgery candidates' selection, and to ensure proper personalized management for these patients. With the evolving diagnosis methods, PHPT has become a condition with a changing clinical presentation, which now requires modern evaluation and treatment approaches.

Fracture risk prediction in diabetes patients based on Lasso feature selection and Machine Learning

Fracture risk among individuals with diabetes poses significant clinical challenges due to the multifaceted relationship between diabetes and bone health. Diabetes not only affects bone density but also alters bone quality and structure, thereby increases the susceptibility to fractures. Given the rising prevalence of diabetes worldwide and its associated complications, accurate prediction of fracture risk in diabetic individuals has emerged as a pressing clinical need. This study aims to investigate the factors influencing fracture risk among diabetic patients. We propose a framework that combines Lasso feature selection with eight classification algorithms. Initially, Lasso regression is employed to select 24 significant features. Subsequently, we utilize grid search and 5-fold cross-validation to train and tune the selected classification algorithms, including KNN, Naive Bayes, Decision Tree, Random Forest, AdaBoost, XGBoost, Multi-layer Perceptron (MLP), and Support Vector Machine (SVM). Among models trained using these important features, Random Forest exhibits the highest performance with a predictive accuracy of 93.87%. Comparative analysis across all features, important features, and remaining features demonstrate the crucial role of features selected by Lasso regression in predicting fracture risk among diabetic patients. Besides, by using a feature importance ranking algorithm, we find several features that hold significant reference values for predicting early bone fracture risk in diabetic individuals.

The relationship of body composition with bone mineral density and 10-year probability of hip fracture in postmenopausal women

INTRODUCTION

Postmenopausal osteoporosis and fractures are widely prevalent. However, the relationship of body composition with bone health in this population remains unclear. The aim of this study was to investigate the association of body composition with bone mineral density (BMD) and 10-year probability of hip fracture in postmenopausal women.

MATERIALS AND METHODS

This is a cross-sectional study. A total of 1285 subjects were included in our study. Body composition and BMD were assessed using dual-energy X-ray densitometry. The 10-year probability of hip fracture of participants was calculated. All participants were categorized into four groups: sarcopenic-obese (SO) group, sarcopenic-nonobese (S) group, nonsarcopenic-obese (O) group, or nonsarcopenic-nonobese control (C) group. Multivariate analyses and binary logistic regression were conducted to explore the relationship of body composition with BMD and 10-year probability of hip fracture.

RESULTS

Participants in S group were 2.8, 4.7 and 4.8 times more likely to develop osteoporosis in the lumbar spine, the total hip and femoral neck sites, respectively. Lean mass was positively correlated with BMD, wherein lumbar spine BMD was significantly affected by appendicular lean mass, while total hip BMD and femoral neck BMD were mainly influenced by trunk lean mass. Total fat mass was positively associated with total hip and femoral neck BMD, but not with lumbar spine BMD. A significant correlation was observed between lean mass and 10-year probability of hip fracture.

CONCLUSION

Changes in body composition in postmenopausal women could affect bone health. A decrease in regional lean mass may be associated with an increased risk of osteoporosis and fractures.

Race-specific FRAX models are evidence-based and support equitable care: a response to the ASBMR Task Force report on Clinical Algorithms for Fracture Risk

Task Force on 'Clinical Algorithms for Fracture Risk' commissioned by the American Society for Bone and Mineral Research (ASBMR) Professional Practice Committee has recommended that FRAX® models in the US do not include adjustment for race and ethnicity. This position paper finds that an agnostic model would unfairly discriminate against the Black, Asian and Hispanic communities and recommends the retention of ethnic and race-specific FRAX models for the US, preferably with updated data on fracture and death hazards. In contrast, the use of intervention thresholds based on a fixed bone mineral density unfairly discriminates against the Black, Asian and Hispanic communities in the US. This position of the Working Group on Epidemiology and Quality of Life of the International Osteoporosis Foundation (IOF) is endorsed both by the IOF and the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO).

Cone Beam Computed Tomography Panoramic Mandibular Indices in the Screening of Postmenopausal Women with Low Bone Mass: Correlations with Bone Quantity and Quality

OBJECTIVE

This study examined the potential use of computed tomography panoramic mandibular indices on cone beam CT (CBCT) for assessing bone density in postmenopausal women with low bone mass.

STUDY DESIGN

The study enrolled 104 postmenopausal women who underwent dual-energy X-ray absorptiometry (DXA) using a DXA scanner and mental foramen region CBCT alongside the NewTom VGi EVO Cone Beam 3D system. We assessed the relationship between the following DXA parameters: lumbar, femoral neck, and total hip T score, bone mineral density (BMD), and lumbar trabecular bone score (TBS). The following panoramic mandibular indices were also considered: the computed tomography mandibular index superior (CTI(S)), computed tomography mandibular index inferior (CTI(I)), and computed tomography mental index (CTMI).

RESULTS

The study revealed moderate correlations between CBCT indices and BMD/TBS scores: CTMI showed the highest correlation with the femoral neck T-score (r = 0.551, p < 0.0001). TBS scores were also moderately correlated with CBCT indices: CTMI showed a moderate positive correlation with TBS (r = 0.431, p < 0.0001); CTI(S) had a similar moderate positive correlation with TBS (r = 0.421, p < 0.0001). AUC values ranged from 0.697 to 0.733 for osteoporosis versus the osteopenia/normal group and from 0.734 to 0.744 for low versus normal bone quality groups, p < 0.0001. The comparison of the values of the studied indices between low versus normal bone quality (quantified with TBS) groups showed high sensitivity but low specificity.

CONCLUSIONS

CBCT-measured indices CTI(S), CTI(I), and CTMI are useful in assessing patients with low bone mass to improve, by specific treatment, the prognosis of dental implants.

Body fat distribution and bone mineral density in a multi-ethnic sample of postmenopausal women in The Malaysian Cohort

In this study of postmenopausal women in Malaysia, total adiposity was inversely associated with total BMD, while regional associations varied. No differences were detected across Malay, Chinese, and Indian ethnicities. Low BMD contributes substantially to morbidity and mortality, and increasing adiposity levels globally may be contributing to this.

PURPOSE

To investigate associations of total and regional adiposity with bone mineral density (BMD) among a multi-ethnic cohort of postmenopausal women.

METHODS

Dual X-ray absorptiometry (DXA) imaging was undertaken for 1990 postmenopausal women without prior chronic diseases (30% Malay, 53% Chinese, and 17% Indian) from The Malaysian Cohort (TMC). The strength of the associations between standardized total and regional body fat percentages with total and regional BMD was examined using linear regression models adjusted for age, height, lean mass, ethnicity, education, and diabetes. Effect modification was assessed for ethnicity.

RESULTS

Women with a higher total body fat percentage were more likely to be Indian or Malay. Mean (SD) BMD for the whole-body total, lumbar spine, leg, and arm were 1.08 (0.11), 0.96 (0.15), 2.21 (0.22), and 1.36 (0.12) g/cm2, respectively. Total body and visceral fat percentage were inversely associated with total BMD (- 0.02 [95% CI - 0.03, - 0.01] and - 0.01 [- 0.02, - 0.006] g/cm2 per 1 SD, respectively). In contrast, subcutaneous and gynoid fat percentages were positively associated with BMD (0.007 [0.002, 0.01] and 0.01 [0.006, 0.02] g/cm2, respectively). Total body fat percentage showed a weak positive association with lumbar BMD (0.01 [0.004, 0.02]) and inverse associations with leg (- 0.04 [- 0.06, - 0.03]) and arm (- 0.02 [- 0.03, - 0.02]) BMD in the highest four quintiles. There was no effect modification by ethnicity (phetero > 0.05).

CONCLUSION

Total adiposity was inversely associated with total BMD, although regional associations varied. There was no heterogeneity across ethnic groups suggesting adiposity may be a risk factor for low BMD across diverse populations.

Insight into the potential of bone turnover biomarkers: integration in the management of osteoporosis and chronic kidney disease-associated osteoporosis

PURPOSE OF REVIEW

Disturbances in mineral and bone metabolism occurring in osteoporosis and chronic kidney disease-associated osteoporosis place patients at high risk of fracture making these conditions a major public health concern. Due to the limited use of bone histomorphometry in clinical practice, the gold standard for assessing bone turnover, extensive efforts have been made to identify bone turnover markers (BTMs) as noninvasive surrogates. Since the identification of certain commonly used markers several decades ago, considerable experience has been acquired regarding their clinical utility in such bone disorders.

RECENT FINDINGS

Mounting evidence suggested that BTMs represent a simple, low-risk, rapid and convenient way to obtain data on the skeletal health and that they may be useful in guiding therapeutic choices and monitoring the response to treatment.

SUMMARY

BTMs could provide clinicians with useful information, independent from, and often complementary to bone mineral density (BMD) measurements. They have proven valuable for monitoring the effectiveness of osteoporosis therapy, as well as promising for discriminating low and high turnover states. Improved performance is observed when BTMs are combined, which may be useful for selecting treatments for chronic kidney disease-bone mineral disorders (CKD-MBD).

Prediction of Osteoporotic Hip Fracture Outcome: Comparative Accuracy of 27 Immune-Inflammatory-Metabolic Markers and Related Conceptual Issues

Objectives: This study, based on the concept of immuno-inflammatory-metabolic (IIM) dysregulation, investigated and compared the prognostic impact of 27 indices at admission for prediction of postoperative myocardial injury (PMI) and/or hospital death in hip fracture (HF) patients. Methods: In consecutive HF patient (n = 1273, mean age 82.9 ± 8.7 years, 73.5% females) demographics, medical history, laboratory parameters, and outcomes were recorded prospectively. Multiple logistic regression and receiver-operating characteristic analyses (the area under the curve, AUC) were used to establish the predictive role for each biomarker. Results: Among 27 IIM biomarkers, 10 indices were significantly associated with development of PMI and 16 were indicative of a fatal outcome; in the subset of patients aged >80 years with ischaemic heart disease (IHD, the highest risk group: 90.2% of all deaths), the corresponding figures were 26 and 20. In the latter group, the five strongest preoperative predictors for PMI were anaemia (AUC 0.7879), monocyte/eosinophil ratio > 13.0 (AUC 0.7814), neutrophil/lymphocyte ratio > 7.5 (AUC 0.7784), eosinophil count < 1.1 × 109/L (AUC 0.7780), and neutrophil/albumin × 10 > 2.4 (AUC 0.7732); additionally, sensitivity was 83.1-75.4% and specificity was 82.1-75.0%. The highest predictors of in-hospital death were platelet/lymphocyte ratio > 280.0 (AUC 0.8390), lymphocyte/monocyte ratio < 1.1 (AUC 0.8375), albumin < 33 g/L (AUC 0.7889), red cell distribution width > 14.5% (AUC 0.7739), and anaemia (AUC 0.7604), sensitivity 88.2% and above, and specificity 85.1-79.3%. Internal validation confirmed the predictive value of the models. Conclusions: Comparison of 27 IIM indices in HF patients identified several simple, widely available, and inexpensive parameters highly predictive for PMI and/or in-hospital death. The applicability of IIM biomarkers to diagnose and predict risks for chronic diseases, including OP/OF, in the preclinical stages is discussed.

Bone Loss in Diabetes Mellitus: Diaporosis

The objective of this review is to examine the connection between osteoporosis and diabetes, compare the underlying causes of osteoporosis in various forms of diabetes, and suggest optimal methods for diagnosing and assessing fracture risk in diabetic patients. This narrative review discusses the key factors contributing to the heightened risk of fractures in individuals with diabetes, as well as the shared elements impacting the treatment of both diabetes mellitus and osteoporosis. Understanding the close link between diabetes and a heightened risk of fractures is crucial in effectively managing both conditions. There are several review articles of meta-analysis regarding diaporosis. Nevertheless, no review articles showed collected and well-organized medications of antidiabetics and made for inconvenient reading for those who were interested in details of drug mechanisms. In this article, we presented collected and comprehensive charts of every antidiabetic medication which was linked to fracture risk and indicated plausible descriptions according to research articles.

Prevalence of Osteoporosis and Its Effect on Residual Ridge Resorption in Postmenopausal Females of Rural Central Indian Region

AIM

 To determine the correlation between body mass index (BMI), bone mineral density (BMD), and residual ridge resorption (RRR) in postmenopausal females and the effect of osteoporosis on RRR.

MATERIALS AND METHODS

 A study was conducted with 60 postmenopausal female individuals. BMI was calculated using the weight and height of the patient using a formula. BMD was assessed and graded using a T-score. RRR was determined using the Tallgren method.

RESULTS

Most individuals showed a higher BMI (63.33%), which is in the overweight or obese category. BMD was lower in approximately 68.33% of patients, and RRR was significantly higher in about 60% of total patients.

CONCLUSION

The higher the BMI values, the lesser the BMD and the higher the RRR.

Age-adjusted Charlson comorbidity index is associated with the risk of osteoporosis in older fall-prone men: a retrospective cohort study

BACKGROUND

There is growing evidence linking the age-adjusted Charlson comorbidity index (aCCI), an assessment tool for multimorbidity, to fragility fracture and fracture-related postoperative complications. However, the role of multimorbidity in osteoporosis has not yet been thoroughly evaluated. We aimed to investigate the association between aCCI and the risk of osteoporosis in older adults at moderate to high risk of falling.

METHODS

A total of 947 men were included from January 2015 to August 2022 in a hospital in Beijing, China. The aCCI was calculated by counting age and each comorbidity according to their weighted scores, and the participants were stratified into two groups by aCCI: low (aCCI < 5), and high (aCCI ≥5). The Kaplan Meier method was used to assess the cumulative incidence of osteoporosis by different levels of aCCI. The Cox proportional hazards regression model was used to estimate the association of aCCI with the risk of osteoporosis. Receiver operating characteristic (ROC) curve was adapted to assess the performance for aCCI in osteoporosis screening.

RESULTS

At baseline, the mean age of all patients was 75.7 years, the mean BMI was 24.8 kg/m2, and 531 (56.1%) patients had high aCCI while 416 (43.9%) were having low aCCI. During a median follow-up of 6.6 years, 296 participants developed osteoporosis. Kaplan-Meier survival curves showed that participants with high aCCI had significantly higher cumulative incidence of osteoporosis compared with those had low aCCI (log-rank test: P < 0.001). When aCCI was examined as a continuous variable, the multivariable-adjusted model showed that the osteoporosis risk increased by 12.1% (HR = 1.121, 95% CI 1.041-1.206, P = 0.002) as aCCI increased by one unit. When aCCI was changed to a categorical variable, the multivariable-adjusted hazard ratios associated with different levels of aCCI [low (reference group) and high] were 1.00 and 1.557 (95% CI 1.223-1.983) for osteoporosis (P <  0.001), respectively. The aCCI (cutoff ≥5) revealed an area under ROC curve (AUC) of 0.566 (95%CI 0.527-0.605, P = 0.001) in identifying osteoporosis in older fall-prone men, with sensitivity of 64.9% and specificity of 47.9%.

CONCLUSIONS

The current study indicated an association of higher aCCI with an increased risk of osteoporosis among older fall-prone men, supporting the possibility of aCCI as a marker of long-term skeletal-related adverse clinical outcomes.

Proteomic Insights into Osteoporosis: Unraveling Diagnostic Markers of and Therapeutic Targets for the Metabolic Bone Disease

Osteoporosis (OP), a prevalent skeletal disorder characterized by compromised bone strength and increased susceptibility to fractures, poses a significant public health concern. This review aims to provide a comprehensive analysis of the current state of research in the field, focusing on the application of proteomic techniques to elucidate diagnostic markers and therapeutic targets for OP. The integration of cutting-edge proteomic technologies has enabled the identification and quantification of proteins associated with bone metabolism, leading to a deeper understanding of the molecular mechanisms underlying OP. In this review, we systematically examine recent advancements in proteomic studies related to OP, emphasizing the identification of potential biomarkers for OP diagnosis and the discovery of novel therapeutic targets. Additionally, we discuss the challenges and future directions in the field, highlighting the potential impact of proteomic research in transforming the landscape of OP diagnosis and treatment.

Evidence-Based Guideline for the management of osteoporosis in men

Historically, osteoporosis has been viewed as a disease of women, with research, trials of interventions and guidelines predominantly focused as such. It is apparent, however, that this condition causes a substantial health burden in men also, and that its assessment and management must ultimately be addressed across both sexes. In this article, an international multidisciplinary working group of the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases presents GRADE-assessed recommendations for the diagnosis, monitoring and treatment of osteoporosis in men. The recommendations are based on a comprehensive review of the latest research related to diagnostic and screening approaches for osteoporosis and its associated high fracture risk in men, covering disease burden, appropriate interpretation of bone densitometry (including the use of a female reference database for densitometric diagnosis in men) and absolute fracture risk, thresholds for treatment, and interventions that can be used therapeutically and their health economic evaluation. Future work should specifically address the efficacy of anti-osteoporosis medications, including denosumab and bone-forming therapies.

A meta-analysis of previous falls and subsequent fracture risk in cohort studies

The relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm.

INTRODUCTION

Previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD).

METHODS

The resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients.

RESULTS

Falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33-1.51) and men (HR 1.53, 95% CI 1.41-1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27-1.84) in men vs. HR 1.32 (95% CI 1.20-1.45) in women, P for interaction = 0.013). The HRs associated with previous falls decreased with age in women and with duration of follow-up in men and women for most fracture outcomes. There was no evidence of an interaction between falls and BMD for fracture risk. Subsequent risk for a major osteoporotic fracture increased with each additional previous fall in women and men.

CONCLUSIONS

A previous self-reported fall confers an increased risk of fracture that is largely independent of BMD. Previous falls should be considered as an additional risk factor in future iterations of FRAX to improve fracture risk prediction.

Predictive factors of osteoporotic hip fracture in octogenarians

OBJECTIVE

This study aims to identify the risk factors associated with osteoporotic hip fractures in octogenarians and seeks to refine primary prevention strategies for these fractures.

MATERIAL AND METHODS

We conducted a case-control study involving individuals aged 79 years and older with hip fractures, comparing them to age- and sex-matched controls without a history of hip fractures. We collected epidemiological, clinical, anthropometric, and analytical factors. We evaluated the presence of osteoporosis using bone densitometry. We defined sarcopenia according the European Working Group on Sarcopenia in Older People criteria (EWGSOP2).

RESULTS

Ninety-five patients per group were analyzed, with a mean age of 82 years, of which 74% were women. The multivariate analysis included statistically significant factors found in the univariate analysis (p < 0.05). These factors included the Barthel Index, nutritional assessment using the CONUT tool, folic acid, vitamin D deficiency, presence of previous fractures, loss of visual acuity, bicipital circumference, sarcopenia, and osteoporosis (densitometry in the neck of the femur). The Nutritional state (OR: 0.08 [0.01-0.61]), the folic acid levels (OR 0.32 [0.1-1]), and a loss of visual acuity (OR 33.16 [2.91-377.87]) were the independent risk factors associated with hip fracture.

CONCLUSIONS

The assessment of nutritional status in elderly patients, coupled with a comprehensive geriatric assessment, represents easily reproducible and cost-effective tools. These tools can effectively aid in identifying individuals at risk of hip fractures, thereby contributing to more targeted and efficient preventive measures.