Estimate Fracture Risk Research Articles

Haemophilia A and B as a cause for secondary osteoporosis and increased fracture risk.

Despite the increasing evidence regarding its association with low bone mineral density (BMD) both in adults and children, haemophilia A or B has not yet been considered among the classic causes of secondary osteoporosis. Although the exact mechanisms are not fully elucidated, physical inactivity and vitamin D deficiency seem to play a fundamental role for such an association. Viral infections and arthropathy further compromise bone mass. Except for low BMD, patients with haemophilia seem to be at increased risk for fracture and falls. The FRAX tool may be of value in this population, for the estimation of fracture risk. Regular exercise, prophylactic factor replacement therapy in severe haemophilia, fall prevention strategies and optimization of calcium and vitamin D intake are recommended. In any case, individualized multidisciplinary approach and careful assessment and management of fracture risk are recommended.

Contribution of Lumbar Spine BMD to Fracture Risk in Individuals With T-Score Discordance.

Fracture risk estimates are usually based on femoral neck (FN) BMD. It is unclear how to address T-score discordance, where lumbar spine (LS) T-score is lower than FN T-score. The objective of this work was to examine the impact of LS BMD on fracture risk, in individuals with lower LS T-score than FN T-score. Participants aged 60+ years from the Dubbo Osteoporosis Epidemiology Study with LS and FN BMD measured at first visit, and were followed from 1989 to 2014. Five-hundred and seventy-three (573) of 2270 women and 131 of 1373 men had lower LS than FN T-score by ≥ 0.6 standard deviation (SD) (low-LS group based on least significant change). In low-LS women, each 1 SD lower LS T-score than FN was associated with a 30% increase in fracture risk (hazard ratio [HR] 1.30; 95% CI, 1.11 to 1.45). For low-LS men there was a 20% nonsignificant increase in fracture risk for each 1 SD lower LS than FN T-score (HR 1.20; 95% CI, 0.10 to 1.67). Low-LS women had greater absolute fracture risks than the rest of the women. This increased risk was more apparent for lower levels of FN T-score and in older age groups. At an FN T-score of -2, low-LS women had a 3%, 10%, and 23% higher 5-year absolute fracture risk than non-low LS women in the 60 to 69 year, 70 to 79 year, and 80+ years age-groups, respectively. Furthermore, an osteoporotic LS T-score increased 5-year absolute fracture risk for women with normal or osteopenic FN T-score by 10% to 13%. Men in the low-LS group had very few fractures; therefore, a meaningful analyses of fracture risk could not be conducted. This study shows the significant contribution of lower LS BMD to fracture risk over and above FN BMD in women. A LS BMD lower than FN BMD should be incorporated into fracture risk calculators at least for women in older age-groups.

Challenges of Estimating Fracture Risk with DXA: Changing Concepts About Bone Strength and Bone Density.

Bone loss due to weightlessness is a significant concern for astronauts' mission safety and health upon return to Earth. This problem is monitored with bone densitometry (DXA), the clinical tool used to assess skeletal strength. DXA has served clinicians well in assessing fracture risk and has been particularly useful in diagnosing osteoporosis in the elderly postmenopausal population for which it was originally developed. Over the past 1-2 decades, however, paradoxical and contradictory findings have emerged when this technology was widely employed in caring for diverse populations unlike those for which it was developed. Although DXA was originally considered the surrogate marker for bone strength, it is now considered one part of a constellation of factors-described collectively as bone quality-that makes bone strong and resists fracturing, independent of bone density. These characteristics are beyond the capability of routine DXA to identify, and as a result, DXA can be a poor prognosticator of bone health in many clinical scenarios. New clinical tools are emerging to make measurement of bone strength more accurate. This article reviews the historical timeline of bone density measurement (dual X-ray absorptiometry), expands upon the clinical observations that modified the relationship of DXA and bone strength, discusses some of the new clinical tools to predict fracture risk, and highlights the challenges DXA poses in the assessment of fracture risk in astronauts.

Comparison of Speed of Sound Measures Assessed by Multisite Quantitative Ultrasound to Bone Mineral Density Measures Assessed by Dual-Energy X-Ray Absorptiometry in a Large Canadian Cohort: the Canadian Multicentre Osteoporosis Study (CaMos)

Dual-energy X-ray absorptiometry (DXA) is an important tool for the estimate of fracture risk through the measurement of bone mineral density (BMD). Similarly, multisite quantitate ultrasound can prospectively predict future fracture through the measurement of speed of sound (SOS). This investigation compared BMD (at the femoral neck, total hip, and lumbar spine) and SOS measures (at the distal radius, tibia, and phalanx sites) in a large sample of randomly-selected and community-based individuals from the Canadian Multicentre Osteoporosis Study. Furthermore, mass, height, and age were also compared with both measures. There were 4123 patients included with an age range of 30–96.8 yr. Pearson product moment correlations between BMD and SOS measures were low (0.21–0.29; all p < 0.001), irrespective of site. Mass was moderately correlated with BMD measures (0.40–0.58; p < 0.001), but lowly correlated with SOS measures (0.03–0.13; p < 0.05). BMD and SOS were negatively correlated to age (−0.17 to −0.44; p < 0.001). When regression analyses were performed to predict SOS measures at the 3 sites, the models predicted 20%–23% of the variance, leaving 77%–80% unaccounted for. The SOS measures in this study were found to be largely independent from BMD measures. In areas with no or limited access to DXA, the multisite quantitative ultrasound may act as a valuable tool to assess fracture risk. In locales with liberal access to DXA, the addition of SOS to BMD and other clinical risk factors may improve the identification of those patients at high risk for future fracture.

Bridging the Osteoporosis Treatment Gap: Performance and Cost-Effectiveness of a Fracture Liaison Service

Individuals who sustain fragility fractures are at high risk of refracture. However, osteoporosis treatment rates remain low for these patients. Therefore, we aimed to assess the performance and cost-effectiveness of introducing a fracture liaison service (FLS) into a tertiary hospital. In “nonhospitalized” ambulatory patients who had sustained fragility fractures, we assessed baseline osteoporosis investigation and treatment rates, and subsequently, the impact of introducing an orthopedic osteoporosis policy and an FLS. Outcomes measured were uptake of osteoporosis intervention, patient satisfaction, and quality-adjusted life years (QALYs) gained. QALYs were calculated over 5 years using predicted fracture risks without intervention and estimated fracture risk reduction with intervention. At baseline (n = 49), 2% of ambulatory patients who had sustained fragility fractures underwent dual-energy X-ray absorptiometry (DXA) and 6% received osteoporosis-specific medication. After introduction of an osteoporosis policy (n = 58), 28% were investigated with DXA (p < 0.0001). However, treatment rates were unchanged. An FLS was introduced, reviewing 203 new patients over the inaugural 2 years (mean age [standard deviation], 67 (11) years; 77% female). All underwent DXA, and criteria for osteoporosis and osteopenia were identified in 44% and 40%, respectively. Osteoporosis medications were prescribed to 61% patients (risedronate: 22%, alendronate: 16%, strontium ranelate: 13%, zoledronic acid: 8%, other: 2%). Eighty-five of 90 questionnaire respondents were very satisfied or satisfied with the FLS. With the treatment prescribed over 5 years, we conservatively estimated that this FLS would reduce nonvertebral refractures from 59 to 50, improving QALYs by 0.054 and costing $1716 per patient (incremental cost-effectiveness ratio: $31749). This FLS model improves uptake of osteoporosis intervention guidelines, is popular among patients, and improves cost-effectiveness. Thus, it has the capacity to substantially improve health in a cost-effective way.

Characterizing Trabecular Bone structure for Assessing Vertebral Fracture Risk on Volumetric Quantitative Computed Tomography.

While the proximal femur is preferred for measuring bone mineral density (BMD) in fracture risk estimation, the introduction of volumetric quantitative computed tomography has revealed stronger associations between BMD and spinal fracture status. In this study, we propose to capture properties of trabecular bone structure in spinal vertebrae with advanced second-order statistical features for purposes of fracture risk assessment. For this purpose, axial multi-detector CT (MDCT) images were acquired from 28 spinal vertebrae specimens using a whole-body 256-row CT scanner with a dedicated calibration phantom. A semi-automated method was used to annotate the trabecular compartment in the central vertebral slice with a circular region of interest (ROI) to exclude cortical bone; pixels within were converted to values indicative of BMD. Six second-order statistical features derived from gray-level co-occurrence matrices (GLCM) and the mean BMD within the ROI were then extracted and used in conjunction with a generalized radial basis functions (GRBF) neural network to predict the failure load of the specimens; true failure load was measured through biomechanical testing. Prediction performance was evaluated with a root-mean-square error (RMSE) metric. The best prediction performance was observed with GLCM feature 'correlation' (RMSE = 1.02 ± 0.18), which significantly outperformed all other GLCM features (p < 0.01). GLCM feature correlation also significantly outperformed MDCT-measured mean BMD (RMSE = 1.11 ± 0.17) (p < 10-4). These results suggest that biomechanical strength prediction in spinal vertebrae can be significantly improved through characterization of trabecular bone structure with GLCM-derived texture features.

Management of skeletal metastases: An orthopaedic surgeon's guide.

Skeletal metastasis is a common cause of severe morbidity, reduction in quality of life (QOL) and often early mortality. Its prevalence is rising due to a higher rate of diagnosis, better systemic treatment, longer lives with the disease and higher disease burden rate. As people with cancer live longer and with rising sensitivity of body imaging and surveillance, the incidence of pathological fracture, metastatic epidural cord compression is rising and constitutes a challenge for the orthopedic surgeon to maintain their QOL. Metastatic disease is no longer a death sentence condemning patients to “terminal care.” In the era of multidisciplinary care and effective systemic targeted and nontargeted therapy, patient expectations of QOL, even during palliative end of care period is high. We lay emphasis on proving the diagnosis of metastasis by biopsy and histopathology and discuss imaging modalities to help estimate fracture risk and map disease extent. This article discusses at length the evidence and decision-making process of various modalities to treat skeletal metastasis. The modalities range from radiation including image-guided, stereotactic and whole body radiation, systemic targeted or hormonal therapy, spinal decompression with or without stabilization, extended curettage with stabilization, resection in select cases with megaprosthetic or biological reconstruction, percutaneous procedures using radio frequency ablation, cementoplasties and discusses the role of emerging modalities like high frequency ultrasound-guided ablation, cryotherapy and whole body radionuclide therapy. The focus lies on the role of multidisciplinary care, which considers complex decisions on patient centric prognosis, comorbidities, cost, feasibility and expectations in order to maximize outcomes on QOL issues.

Fragility fracture: recent developments in risk assessment.

More than half of older women who sustain a fragility fracture do not have osteoporosis by World Health Organization (WHO) bone mineral density (BMD) criteria; and, while BMD has been used to assess fracture risk for over 30 years, a range of other skeletal and nonskeletal clinical risk factors (CRFs) for fracture have been recognized. More than 30 assessment tools using CRFs have been developed, some predicting fracture risk and others low BMD alone. Recent systematic reviews have reported that many tools have not been validated against fracture incidence, and that the complexity of tools and the number of CRFs included do not ensure best performance with poor assessment of (internal or comparative) validity. Internationally, FRAX® is the most commonly recommended tool, in addition to QFracture in the UK, The Canadian Association of Radiologists and Osteoporosis Canada (CAROC) tool in Canada and Garvan in Australia. All tools estimate standard 10-year risk of major osteoporotic and 10-year risk of hip fracture: FRAX® is able to estimate fracture risk either with or without BMD, but CAROC and Garvan both require BMD and QFracture does not. The best evidence for the utility of these tools is in case finding but there may be future prospects for the use of 10-year fracture risk as a common currency with reference to the benefits of treatment, whether pharmacological or lifestyle. The use of this metric is important in supporting health economic analyses. However, further calibration studies will be needed to prove that the tools are robust and that their estimates can be used in supporting treatment decisions, independent of BMD.

An evaluation of clinical risk factors for estimating fracture risk in postmenopausal osteoporosis using an electronic medical record database.

Many of the clinical risk factors used in fracture risk assessment (FRAX) calculator are available in electronic medical record (EMR) databases and are good sources of osteoporosis risk factor information. The EPIC EMR database showed a lower prevalence of FRAX risk factors and, consequently, proportion of patients who would be deemed "high risk." The FRAX tool is underutilized for osteoporosis screening. Many of the clinical risk factors for FRAX may be available in EMR databases and may enable health systems to perform fracture risk assessments. We intended to identify variables in an EMR database for calculating FRAX score in a cohort of postmenopausal women, to estimate absolute fracture risk, and to determine the proportions of women whose absolute fracture risks exceed the National Osteoporosis Foundation (NOF) thresholds. Our cohort was selected using an EMR database with demographic, inpatient, outpatient, and clinical information for female patients age≥50 in a family practice, internal medicine, or obstetrics/gynecology clinic in 2007-2008. The latest physician encounter was the index date. Variables, problem and medication lists, diagnosis codes, and histories from the EMR were used to populate the 11 clinical risk factor variables used in the FRAX. These risk factor prevalence and treatment-eligible proportions were compared to those of published epidemiology studies. The study included 345 patients. Mean (SD) 10-year risk for any major fracture was 11.1% (6.8) when bone mineral density (BMD) was used and 11.2% (6.5) when BMI was used. About 10.1% of the cohort exceeded the NOF's 20% major fracture risk threshold and 32.5% exceeded the NOF's 3% hip fracture risk threshold when BMD was used. Overall, the number of treatment-eligible patients was slightly lower when FRAX was calculated using BMD versus BMI (13.6 and 36.8%). Our cohort using EMR data most likely underestimated the mean 10-year probability of any major fracture compared to other cohorts in published literature. The difference may be in the nature of EMRs for supporting only passive data collection of risk factor information.

Impact of femoral neck and lumbar spine BMD discordances on FRAX probabilities in women: a meta-analysis of international cohorts.

There are occasional marked discordances in BMD T-scores at the lumbar spine (LS) and femoral neck (FN). We investigated whether such discordances could contribute independently to fracture prediction using FRAX. We studied 21,158 women, average age 63 years, from 10 prospective cohorts with baseline FRAX variables as well as FN and LS BMD. Incident fractures were collected by self-report and/or radiographic reports. Extended Poisson regression examined the relationship between differences in LS and FN T-scores (ΔLS-FN) and fracture risk, adjusted for age, time since baseline and other factors including FRAX 10-year probability for major osteoporotic fracture calculated using FN BMD. To examine the effect of an adjustment for ΔLS-FN on reclassification, women were separated into risk categories by their FRAX major fracture probability. High risk was classified using two approaches: being above the National Osteoporosis Guideline Group intervention threshold or, separately, being in the highest third of each cohort. The absolute ΔLS-FN was greater than 2 SD for 2.5% of women and between 1 and 2 SD for 21%. ΔLS-FN was associated with a significant risk of fracture adjusted for baseline FRAX (HR per SD change = 1.09; 95% CI = 1.04-1.15). In reclassification analyses, only 2.3-3.2% of the women moved to a higher or lower risk category when using FRAX with ΔLS-FN compared with FN-derived FRAX alone. Adjustment of estimated fracture risk for a large LS/FN discrepancy (>2SD) impacts to a large extent on only a relatively small number of individuals. More moderate (1-2SD) discordances in FN and LS T-scores have a small impact on FRAX probabilities. This might still improve clinical decision-making, particularly in women with probabilities close to an intervention threshold.

Glucocorticoid-induced osteoporosis: 2013 update.

Glucocorticoids are the most common cause of secondary osteoporosis leading to the so-called glucocorticoid-induced osteoporosis (GIO). A treatment with 10 mg/d of prednisone or equivalent for more than 3 months leads to a 7-fold increase in hip fractures and a 17-fold increase in vertebral fractures. The difference between bone quantity and quality in GIO makes bone mineral density measurements inadequate to detect patients at risk of fracture. The adverse effects of glucocorticoids on the skeleton derive from a direct impact on bone cells with a severe impairment of mechanical competence. Crucial to prevention of GIO is early timing of intervention. The World Health Organization has adopted a fracture prevention algorithm (FRAX) intended to estimate fracture risk in GIO. The American College of Rhematology modified its prevention and treatment guidelines taking into account the individual risk of fracture calculated in GIO on the basis of the FRAX algorithm. Recently, also a joint Guideline Working Group of the International Osteoporosis Foundation (IOF) and the European Calcified Tissue Society (ECTS) published a framework for the development of national guidelines for the management of GIO. Bisphosphonates are the first-line drugs to treat GIO; teriparatide counteracts several fundamental pathophysiologic aspects of GIO; denosumab is useful in patients with renal failure and in potentially pregnant young women. Vertebroplasty and kyphoplasty may be less beneficial in GIO than in primary involutional osteoporosis.

Statistical shape and appearance models for fast and automated estimation of proximal femur fracture load using 2D finite element models

Estimating the risk of osteoporotic fractures is an important diagnostic step that needs to be taken before medicinal treatment. Densitometry-based criteria are normally used in clinical practice for this purpose. However, densitometry-based techniques could not explain all low-energy fractures. As patient-specific finite element (FE) models allow for consideration of other parameters (e.g. load conditions) that are known to be associated with fracture, they are considered promising candidates for more accurate fracture risk estimation. Nevertheless, they are often time consuming, expensive, and complex to build and may need the type of expertise that is not normally available in clinical settings. In this study, we report the development of an automated platform for estimating proximal femur fracture loads using patient-specific 2D FE models generated using dual-energy x-ray absorptiometry (DXA) scans. First, a statistical shape and appearance model (SSAM) is built using DXA scans of patients screened for osteoporosis following a low energy fracture. SSAM is then used together with Active Appearance Models (AAM) for automated segmentation of the proximal femur from new unseen DXA scans. The mean point-to-curve error of the automated procedure, i.e. 1.2–1.4mm, is shown to be only slightly larger than the intra-observer variability of manual segmentation, i.e. 1.0mm. Moreover, the developed platform automatically meshes the segmented shape, assigns density-based mechanical properties, assigns loads and boundary conditions, submits the 2D FE model for solution, and performs post-processing of the 2D FE simulation data to determine fracture loads. The fracture loads predicted using the manually generated and automatically generated 2D FE models are shown to be very close with a mean difference of around 8.8%. Repeated measures ANOVA showed no significant differences between the fracture loads calculated using FE models manually generated by three independent observers and those calculated using the automatically generated FE models (p>0.05).

Editorial Comment

The authors evaluated the risk for fracture because of the development of osteoporosis in men with prostate cancer who were subjected to androgen deprivation therapy (ADT) in the clinical scenario of prostate-specific antigen relapse after local therapy with curative intent, such as radical prostatectomy or radiation therapy. To assess the risk of fracture, the World Health Organization Fracture Risk Calculation Tool (FRAX) was applied, and the data obtained were compared with the results of the standard bone mineral density (BMD) evaluation by dual-energy X-ray absorptiometry (DXA) scans and the objective T scores derived from DXA scans. ADT is known as a significant contributor of osteoporosis in men with prostate cancer (PCa), and once diagnosed, osteoporosis needs to be treated by bone-targeting approaches, whereas osteopenia might be managed by preventive and supportive measures. Comparison of Fracture Risk Assessment Tool Score to Bone Mineral Density for Estimating Fracture Risk in Patients With Advanced Prostate Cancer on Androgen Deprivation TherapyUrologyVol. 84Issue 1PreviewTo estimate the risk of fracture (Fracture Risk Assessment Tool [FRAX] algorithm) because of the development of osteoporosis in prostate cancer patients undergoing androgen deprivation therapy (ADT) for patients who would otherwise not have been identified for treatment by the T score. Full-Text PDF

Comparison of Fracture Risk Assessment Tool Score to Bone Mineral Density for Estimating Fracture Risk in Patients With Advanced Prostate Cancer on Androgen Deprivation Therapy

To estimate the risk of fracture (Fracture Risk Assessment Tool [FRAX] algorithm) because of the development of osteoporosis in prostate cancer patients undergoing androgen deprivation therapy (ADT) for patients who would otherwise not have been identified for treatment by the T score. This study includes men undergoing ADT for prostate cancer at our urology group. Clinical data were collected via chart review. Subjects were evaluated for fracture risk using country specific (for the United States of America) World Health Organization's FRAX. The FRAX calculations were then compared to fracture risk as determined by T score, for a subset of our cohort that received dual-energy X-ray absorptiometry. Our cohort consisted of 613 patients on ADT, 94 of which had a dual-energy X-ray absorptiometry scan. The FRAX algorithm identified 61.6% patients requiring therapy without bone mass density (BMD), 46.8% with BMD, and 19.14% with T score alone. In addition, positive correlation was found between FRAX with and without BMD as well as T score and FRAX with BMD and without BMD. Our data indicate that many patients who were not found at significant risk for fracture with T score were in fact found to be at risk with the FRAX calculation. The largest proportion of patients was found to be at risk through the FRAX calculation without BMD, followed by FRAX with BMD, followed by T score alone. The utility of FRAX is beneficial in identifying patients that may benefit from effective bone-tropic treatment modalities.

What analytic method should clinicians use to derive spine T-scores and predict incident fractures in men? Results from the MrOS study.

In this study, the area under the curve was highest when using the lowest vertebral body T-score to diagnose osteoporosis. In men for whom hip imaging is not possible, the lowest vertebral body T-score improves the ability to diagnose osteoporosis in men who are likely to have an incident fragility fracture. Spine T-scores have limited ability to predict fragility fracture. We hypothesized that using lowest vertebral body T-score to diagnose osteoporosis would better predict fracture. Among men enrolled in the Osteoporotic Fractures in Men Study, we identified cases with incident clinical fracture (n = 484) and controls without fracture (n = 1,516). We analyzed the lumbar spine bone mineral density (BMD) in cases and controls (n = 2,000) to record the L1-L4 (referent), the lowest vertebral body, and International Society for Clinical Densitometry (ISCD)-determined T-scores using a male normative database and the L1-L4 T-score using a female normative database. We compared the ability of method to diagnose osteoporosis and, therefore, to predict incident clinical fragility fracture, using area under the receiver operator curves (AUCs) and the net reclassification index (NCI) as measures of diagnostic accuracy. ISCD-determined T-scores were determined in only 60% of participants (n = 1,205). Among 1,205 men, the AUC to predict incident clinical fracture was 0.546 for L1-L4 male, 0.542 for the L1-L4 female, 0.585 for lowest vertebral body, and 0.559 for ISCD-determined T-score. The lowest vertebral body AUC was the only method significantly different from the referent method (p = 0.002). Likewise, a diagnosis of osteoporosis based on the lowest vertebral body T-score demonstrated a significantly better net reclassification index (NRI) than the referent method (net NRI +0.077, p = 0.005). By contrast, the net NRI for other methods of analysis did not differ from the referent method. Our study suggests that in men, the lowest vertebral body T-score is an acceptable method by which to estimate fracture risk.

The FRAX score as a tool for estimating fracture risk in patients with advanced prostate cancer on androgen-deprivation therapy compared to the conventional T-score.

e16023Background: Prostate cancer (PCa) patients undergoing androgen deprivation therapy (ADT) are at increased risk of developing bone deficiency and associated morbidities due to hypogonadism-ind...

Statistical Shape and Appearance Models in Osteoporosis

Statistical models (SMs) of shape (SSM) and appearance (SAM) have been acquiring popularity in medical image analysis since they were introduced in the early 1990s. They have been primarily used for segmentation, but they are also a powerful tool for 3D reconstruction and classification. All these tasks may be required in the osteoporosis domain, where fracture detection and risk estimation are key to reducing the mortality and/or morbidity of this bone disease. In this article, we review the different applications of SSMs and SAMs in the context of osteoporosis, and it concludes with a discussion of their advantages and disadvantages for this application.

Celiac disease and risk of fracture in adults—a review

Patients with celiac disease (CD) have low bone mineral density. Evidence of increased fracture risk in these patients is conflicting, and the indication for bone mineral density screening of all adult CD patients is debated. Our aim was to review current published data on fractures in CD. Cross-sectional cohort studies and one case study were identified by searching Medline and Embase. Although the identified studies are heterogeneous and difficult to compare, the overall findings indicate a positive association between CD and risk of fracture. Adult patients with CD should be considered for bone densitometry in order to estimate fracture risk.

Diabetes, Collagen, and Bone Quality

Diabetes increases risk of fracture, although type 2 diabetes is characterized by normal or high bone mineral density (BMD) compared with the patients without diabetes. The fracture risk of type 1 diabetes as well as type 2 diabetes increases beyond an explained by a decrease of BMD. Thus, diabetes may reduce bone strength without change in BMD. Whole bone strength is determined by bone density, structure, and quality, which encompass the micro-structural and tissue material properties. Recent literature showed that diabetes reduces bone material properties rather than BMD. Collagen intermolecular cross-linking plays an important role in the expression of bone strength. Collagen cross-links can be divided into beneficial enzymatic immature divalent and mature trivalent cross-links and disadvantageous nonenzymatic cross-links (Advanced glycation end products: AGEs) induced by glycation and oxidation. The formation pathway and biological function are quite different. Not only hyperglycemia, but also oxidative stress induces the reduction in enzymatic cross-links and the formation of AGEs. In this review, we describe the mechanism of low bone quality in diabetes and the usefulness of the measurement of plasma or urinary level of AGEs for estimation of fracture risk.

Comparison of FRAX score to bone mineral density for estimating fracture risk in patients with CRPC on androgen-deprivation therapy (ADT).

101 Background: A FRAX algorithm has been elaborated to estimate the ten-year hip fracture risk associated with this under-diagnosed condition. We aim to evaluate the fracture risk of patients who would otherwise be left untreated by the conventional T-score. Methods: Clinical data from 613 PCa patients undergoing ADT was collected from our AMP large urology group. Fracture risk was assessed using the country specific (USA) Fracture Risk Assessment Tool (FRAX). Also, a subset of patients (n=94) had received Dual-energy X-ray Absorptiometry (DXA). We compared the proportion of patients suitable for treatment according to the threshold of the FRAX fracture risk calculated with the BMD (&gt;3%) and the T-score (&lt;-2.5). Results: According to the FRAX algorithm (without BMD), 61.6% of our cohort require treatment. The FRAX score (with BMD) identified 46.8% of patients who had DXA suitable for treatment, in contrast to 19.1% by the T-score alone. Correlations were calculated between the various methods (Table). Conclusions: Our results demonstrate that many patients unidentified for treatment by the conventional T-score are at significant risk for fracture according to the FRAX algorithm with BMD. When calculated without the BMD, an even greater proportion of patients is found to be at risk and suitable for treatment. [Table: see text]