Birth weight and birth length affect future fracture risk differently in men and women.

We wanted to determine if there are any associations between birth factors and adult fracture risk. For women only, shorter birth length was associated with lower relative fracture risk. For women and men, individuals who were long at birth as well as tall in adulthood had a substantially higher relative fracture risk. PURPOSE: We aimed to examine associations between birth anthropometry and adult fracture risk and to investigate if developmental mismatch is associated with fracture risk. METHODS: We included 4635 participants (476 women and 4159 men; born 1921-1950) with hospital and national registry-based data on birth anthropometry and adult fractures (≥ 50 years). We tested associations by Cox proportional hazards regressions and present hazard ratios (HR) with 95% confidence intervals. RESULTS: In total, 1215 (26%) suffered ≥ 1 fracture during a mean observation period of 26 years. In women, unadjusted analyses indicated that both higher birth weight (HR 1.42 per kg (1.10-1.84)) and birth length (1.10 per cm (1.05-1.17)) were associated to higher adult fracture risk. After adjustment (year of birth and gestational age), statistical significance remained only for birth length, HR 1.10 per cm (1.04-1.17). For men, no associations were apparent. We found no associations between developmental mismatch (lower birth weight followed by higher adult weight) and adult fracture risk. However, for both sexes, being born tall and staying tall into adulthood was associated with a markedly higher (55-105%) relative fracture risk (HR women 2.09 (1.18-3.68), men 1.55 (1.19-2.03)) compared to being born short and remaining short in adulthood. CONCLUSION: In this study, being born shorter and lighter was associated with a lower risk for fractures ≥ 50 years in women. However, analyses indicated that tall adults who were also long at birth may be at markedly higher risk of fractures; this warrants further examinations.

An electronic health record (EHR)-based risk calculator can predict fractures comparably to FRAX: a proof-of-concept study.

Information in the electronic health record (EHR), such as diagnoses, vital signs, utilization, medications, and laboratory values, may predict fractures well without the need to verbally ascertain risk factors. In our study, as a proof of concept, we developed and internally validated a fracture risk calculator using only information in the EHR. PURPOSE: Fracture risk calculators, such as the Fracture Risk Assessment Tool, or FRAX, typically lie outside the clinician workflow. Conversely, the electronic health record (EHR) is at the center of the clinical workflow, and many variables in the EHR could predict fractures without having to verbally ascertain FRAX risk factors. We sought to evaluate the utility of EHR variables to predict fractures and, as a proof of concept, to create an EHR-based fracture risk model. METHODS: Routine clinical data from 24,189 subjects presenting to primary care from 2010 to 2018 was utilized. Major osteoporotic fractures (MOFs) were captured by physician diagnosis codes. Data was split into training (n = 18,141) and test sets (n = 6048). We fit Cox regression models for candidate risk factors in the training set, and then created a global model using a backward stepwise approach. We then applied the model to the test set and compared the discrimination and calibration to FRAX. RESULTS: We found variables related to vital signs, utilization, diagnoses, medications, and laboratory values to be associated with incident MOF. Our final model included 19 variables, including age, BMI, Parkinson's disease, chronic kidney disease, and albumin levels. When applied to the test set, we found the discrimination (AUC 0.73 vs. 0.70, p = 0.08) and calibration were comparable to FRAX. CONCLUSION: Routinely collected data in EHR systems can generate adequate fracture predictions without the need to verbally ascertain fracture risk factors. In the future, this could allow for automated fracture prediction at the point of care to improve osteoporosis screening and treatment rates.

Trabecular bone score in adults with type 1 diabetes: a meta-analysis.

Type 1 diabetes mellitus (T1DM) is associated with a disproportionately high fracture rate despite a minimal decrease in bone mineral density. Though trabecular bone score (TBS), an indirect measure of bone architecture, is lower in adults with T1DM, the modest difference is unlikely to account for the large excess risk and calls for further exploration. INTRODUCTION: Fracture rates in type 1 diabetes mellitus (T1DM) are disproportionately high compared to the modestly low bone mineral density (BMD). Distortion of bone microarchitecture compromises bone quality in T1DM and is indirectly measured by trabecular bone score (TBS). TBS could potentially be used as a screening tool for skeletal assessment; however, there are inconsistencies in the studies evaluating TBS in T1DM. We performed this meta-analysis to address this knowledge gap. METHODS: An electronic literature search was conducted using PubMed, Scopus, and Web of Science resources (all-year time span) to identify studies relating to TBS in T1DM. Cross-sectional and retrospective studies in adults with T1DM were included. TBS and BMD data were extracted for pooled analysis. Fracture risk could not be analyzed as there were insufficient studies reporting it. RESULT: Data from six studies were included (T1DM: n = 378 and controls: n = 286). Pooled analysis showed a significantly lower TBS [standardized mean difference (SMD) = - 0.37, 95% CI - 0.52 to - 0.21; p < 0.00001] in T1DM compared to controls. There was no difference in the lumbar spine BMD (6 studies, SMD - 0.06, 95% CI - 0.22 to 0.09; p = 0.43) and total hip BMD (6 studies, SMD - 0.17, 95% CI - 0.35 to 0.01; p = 0.06) in the case and control groups. CONCLUSIONS: Adults with T1DM have a lower TBS but similar total hip and lumbar spine BMD compared to controls. The risk attributable to the significant but limited difference in TBS falls short of explaining the large excess propensity to fragility fracture in adults with T1DM. Further studies on clarification of the mechanism and whether TBS is suited to screen for fracture risk in adults with T1DM are necessary.

Non-osteoporotic fractures are associated with increased risk of subsequent major osteoporotic fractures.

We studied the association between non-osteoporotic fractures and future major osteoporotic fractures, using UK health records. Non-osteoporotic fractures were found to increase the risk of major osteoporotic fractures, although to a lesser extent than osteoporotic fractures. This highlights the importance of considering all previous fractures in assessing future fracture risk. PURPOSE: Previous studies demonstrated that osteoporotic fractures-minor and major-increase the risk for future major osteoporotic fractures; we test whether non-osteoporotic fractures are also associated with such increased risk. METHODS: The study is a retrospective cohort study using UK primary care electronic health records. Exposure groups were defined according to fracture location prior to the year 2011 (index date): major, minor, and non-osteoporotic. The outcome of incident major osteoporotic fractures following the index date was compared between the exposure groups and the general population. RESULTS: The general study population included 1,951,388 patients. The exposure groups included 39,931 patients with a prior major osteoporotic fracture, 19,397 with a prior minor osteoporotic fracture, and 50,115 patients with a prior non-osteoporotic fracture. The standardized Incidence Rate Ratio for future major osteoporotic fractures was 2.73 (95% confidence interval: 2.64-2.82), 2.43 (2.32-2.54), and 1.83 (1.74-1.92), respectively. CONCLUSION: Non-osteoporotic fractures are significantly associated with increased risk for future major osteoporotic fractures relative to the general population, yet to a lesser extent compared to major and minor osteoporotic fractures.

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 ß 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.

Cost-effectiveness of romosozumab for the treatment of postmenopausal women with osteoporosis at high risk of fracture in Belgium.

This study evaluated the cost-effectiveness of sequential treatment with romosozumab-to-alendronate compared to alendronate monotherapy and teriparatide-to-alendronate, in postmenopausal osteoporotic women from a Belgian healthcare perspective. Romosozumab-to-alendronate was found to be cost-effective compared to alendronate monotherapy and dominant compared to teriparatide-to-alendronate for osteoporotic women at high risk of fracture in Belgium. PURPOSE: This study aimed to evaluate the cost-effectiveness of sequential treatment with romosozumab followed by alendronate compared to alendronate monotherapy and teriparatide followed by alendronate, in postmenopausal osteoporotic women at high risk of fracture, from a Belgian healthcare perspective. Romosozumab is reimbursed in Belgium since December 2021. METHODS: A Markov microsimulation model was used to evaluate the cost-effectiveness of romosozumab-to-alendronate compared to alendronate monotherapy and to teriparatide-to-alendronate over a lifetime horizon. Patients transition between five different health states every 6 months based on fracture risks or death. The model was populated with Belgium-specific epidemiological and cost data, where available. The fracture risk reduction of romosozumab treatment was collated from the ARCH study, and from a published network meta-analysis. Costs were included from a healthcare perspective (NIHDI). Cost-effectiveness was reported in terms of costs per quality-adjusted life year (QALY), reported in Euro (€) 2022. Deterministic (DSA) and probabilistic sensitivity analyses (PSA) were performed. RESULTS: Romosozumab-to-alendronate was associated with 0.12 additional QALYs at an additional cost of €2314 compared to alendronate monotherapy, resulting in an ICER of €19,978. Compared to teriparatide-to-alendronate, romosozumab-to-alendronate was found to be dominant, with higher QALYs and lower costs. The base-case results were robust to uncertainty in the input parameters when conducting the sensitivity analysis. CONCLUSION: Sequential treatment with romosozumab followed by alendronate was found to be cost-effective compared to alendronate monotherapy and dominant compared to teriparatide followed by alendronate for postmenopausal women with osteoporosis at high risk of fracture in Belgium.

Romosozumab in patients who experienced an on-study fracture: post hoc analyses of the FRAME and ARCH phase 3 trials.

Post hoc analysis of FRAME and ARCH revealed that on-study nonvertebral and vertebral fractures by Month 12 were less common in women initially treated with romosozumab versus placebo or alendronate. Recurrent fracture risk was also lower in romosozumab­treated patients, and there were no fracture­related complications. Results support continuing romosozumab treatment post­fracture. PURPOSE: Post hoc analysis evaluating efficacy and safety of romosozumab, administered in the immediate post­fracture period, in the FRAME and ARCH phase 3 trials. METHODS: In FRAME (NCT01575834) and ARCH (NCT01631214), postmenopausal women with osteoporosis were randomized 1:1 to romosozumab 210 mg monthly or comparator (FRAME, placebo; ARCH, alendronate 70 mg weekly) for 12 months, followed by antiresorptive therapy (FRAME, denosumab; ARCH, alendronate). In patients who experienced on-study nonvertebral or new/worsening vertebral fracture by Month 12, we report the following: fracture and treatment­emergent adverse event (TEAE) incidence through 36 months, bone mineral density changes (BMD), and romosozumab timing. Due to the sample sizes employed, meaningful statistical comparisons between treatments were not possible. RESULTS: Incidence of on-study nonvertebral and vertebral fractures by Month 12 was numerically lower in romosozumab- versus comparator-treated patients (FRAME, 1.6% and 0.5% versus 2.1% and 1.6%; ARCH, 3.4% and 3.3% versus 4.6% and 4.9%, respectively). In those who experienced on-study nonvertebral fracture by Month 12, recurrent nonvertebral and subsequent vertebral fracture incidences were numerically lower in patients initially treated with romosozumab versus comparator (FRAME, 3.6% [2/56] and 1.8% [1/56] versus 9.2% [7/76] and 3.9% [3/76]; ARCH, 10.0% [7/70] and 5.7% [4/70] versus 12.6% [12/95] and 8.4% [8/95], respectively). Among those with on-study vertebral fracture by Month 12, recurrent vertebral and subsequent nonvertebral fracture incidences were numerically lower with romosozumab versus comparator (FRAME, 0.0% [0/17] and 0.0% [0/17] versus 11.9% [7/59] and 8.5% [5/59]; ARCH, 9.0% [6/67] and 7.5% [5/67] versus 15.0% [15/100] and 16.0% [16/100], respectively). In patients with fracture by Month 12, no fracture­related complications were reported in romosozumab-treated patients. BMD gains were numerically greater with romosozumab than comparators. CONCLUSION: Data suggest support for the efficacy and safety of continuing romosozumab treatment following fracture. TRIAL REGISTRATIONS: NCT01575834; NCT01631214.

A new hip fracture risk index derived from FEA-computed proximal femur fracture loads and energies-to-failure.

Hip fracture risk assessment is an important but challenging task. Quantitative CT-based patient-specific finite element (FE) analysis (FEA) incorporates bone geometry and bone density in the proximal femur. We developed a global FEA-computed fracture risk index to increase the prediction accuracy of hip fracture incidence. PURPOSE: Quantitative CT-based patient-specific finite element (FE) analysis (FEA) incorporates bone geometry and bone density in the proximal femur to compute the force (fracture load) and energy necessary to break the proximal femur in a particular loading condition. The fracture loads and energies-to-failure are individually associated with incident hip fracture, and provide different structural information about the proximal femur. METHODS: We used principal component analysis (PCA) to develop a global FEA-computed fracture risk index that incorporates the FEA-computed yield and ultimate failure loads and energies-to-failure in four loading conditions of 110 hip fracture subjects and 235 age- and sex-matched control subjects from the AGES-Reykjavik study. Using a logistic regression model, we compared the prediction performance for hip fracture based on the stratified resampling. RESULTS: We referred the first principal component (PC1) of the FE parameters as the global FEA-computed fracture risk index, which was the significant predictor of hip fracture (p-value < 0.001). The area under the receiver operating characteristic curve (AUC) using PC1 (0.776) was higher than that using all FE parameters combined (0.737) in the males (p-value < 0.001). CONCLUSIONS: The global FEA-computed fracture risk index increased hip fracture risk prediction accuracy in males.

Selective estrogen receptor modulators (SERMs) with vitamin D composite agent can prevent fracture better than SERMs treatment: based on the National Health Claims Database 2017-2019.

With the analysis of nationwide health claim data, treatment with the composite agent of SERMs and vitamin D reduces the risk of osteoporotic fracture and hip fracture better compared to SERMs treatment in women with osteoporosis aged ≥ 50 years. PURPOSE: This study compared the potential of the composite agent of selective estrogen receptor modulators (SERMs) and vitamin D (SERM + VitD) with that of SERMs-only for fracture prevention and mortality reduction in women aged ≥ 50 years. METHODS: The incidence of osteoporotic fracture (fractures of the vertebrae, hip, wrist, or humerus) and all-cause death after treatment with SERM + VitD and SERMs were characterized using the Korean National Health Insurance Service database 2017-2019. The participants were divided into two groups (SERM + VitD vs SERMs). After exclusion and propensity score matching, 2,885 patients from each group were included in the analysis. Fracture incidence was compared between groups. Kaplan-Meier curves were used to compare mortality. Cox proportional hazards regression analysis was used to compare the risks of fracture occurrence and mortality between the groups. RESULTS: The incidence rate (138.6/10,000 vs. 192.4/10,000 person-years), and risk of osteoporotic fractures (hazard ratio [HR], 0.77; 95% confidence interval [CI], 0.61-0.97; p = 0.024) were lower in the SERM + VitD group than in the SERMs group. Analysis for specific fractures showed a lower hazard of hip fracture in the SERM + VitD group (HR, 0.25; 95% CI, 0.09-0.71; p = 0.009). No difference was observed between the groups regarding mortality. CONCLUSION: The risk of osteoporotic fractures, especially hip fractures, was lower in the SERM + VitD group than in the SERMs group. Therefore, the composite agent of SERMs and vitamin D can be considered as a viable option for postmenopausal women with a relatively low fracture risk.

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.

Enhanced fracture risk prediction: a novel multi-trait genetic approach integrating polygenic scores of fracture-related traits.

The novel metaPGS, integrating multiple fracture-related genetic traits, surpasses traditional polygenic scores in predicting fracture risk. Demonstrating a robust association with incident fractures, this metaPGS offers significant potential for enhancing clinical fracture risk assessment and tailoring prevention strategies. INTRODUCTION: Current polygenic scores (PGS) have limited predictive power for fracture risk. To improve genetic prediction, we developed and evaluated a novel metaPGS combining genetic information from multiple fracture-related traits. METHODS: We derived individual PGS from genome-wide association studies of 16 fracture-related traits and employed an elastic-net logistic regression model to examine the association between the 16 PGSs and fractures. An optimal metaPGS was constructed by combining 11 significant individual PGSs selected by the elastic regularized regression model. We evaluated the predictive power of the metaPGS alone and in combination with clinical risk factors recommended by guidelines. The discrimination ability of metaPGS was assessed using the concordance index. Reclassification was assessed using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). RESULTS: The metaPGS had a significant association with incident fractures (HR 1.21, 95% CI 1.18-1.25 per standard deviation of metaPGS), which was stronger than previously developed bone mineral density (BMD)-related individual PGSs. Models with PGS_FNBMD, PGS_TBBMD, and metaPGS had slightly higher but statistically non-significant c-index than the base model (0.640, 0.644, 0.644 vs. 0.638). However, the reclassification analysis showed that compared to the base model, the model with metaPGS improves the reclassification of fracture. CONCLUSIONS: The metaPGS is a promising approach for stratifying fracture risk in the European population, improving fracture risk prediction by combining genetic information from multiple fracture-related traits.

Clinical and demographic factors determining patient fracture risk decision point (FRDP): The improving risk communication in osteoporosis (RICO) project.

This study aims to understand how osteoporosis medication acceptance varies across countries with differing guidance on treatment threshold and influence of clinical and demographic factors. A total of 79.2% accepted treatment at a fracture probability at or below the treatment threshold. Fracture history and age did not strongly impact acceptance, suggesting a need for improved fracture risk communication. PURPOSE: This part of the Improving Risk Communication in Osteoporosis (RICO) study aims to understand patients' willingness to initiate osteoporosis treatment given a hypothetical fracture probability-derived from the FRAX® Risk Assessment Tool-and how age, fracture history, and numeric literacy may influence this. METHODS: In 2022-2023, 332 postmenopausal women at risk of fracture were interviewed from nine countries to determine participants' Fracture Risk Decision Point (FRDP), the lowest probability of major osteoporotic fracture at which they would accept an osteoporosis medication. Participants' FRDP was evaluated given eight hypothetical 10-year FRAX scores. RESULTS: In countries with FRAX-based treatment thresholds, over half of the participants per country reported an FRDP that was below the threshold. Collectively, 79.2% demonstrated FRDPs at or below their respective threshold. Age and fracture history did not have a strong influence on FRDP; however, those who demonstrated higher levels of numeric literacy reported a significantly higher median FRDP (10%) compared to those who showed lower levels (5%, p < 0.001). CONCLUSIONS: Most patients were willing to accept an osteoporosis medication prescription at a hypothetical FRAX probability that was even lower than that of their nationally recommended treatment threshold. Literacy scores had a significant influence on FRDP whereas age and fracture history did not.

Computed tomography-based structural rigidity analysis can assess tumor- and treatment-induced changes in rat bones with metastatic lesions.

BACKGROUND: Breast cancer (BrCa) is a predominant malignancy, with metastasis occurring in one in eight patients, nearly half of which target the bone, leading to serious complications such as pain, fractures, and compromised mobility. Structural rigidity, crucial for bone strength, becomes compromised with osteolytic lesions, highlighting the vulnerability and increased fracture risk in affected areas. Historically, two-dimensional radiographs have been employed to predict these fracture risks; however, their limitations in capturing the three-dimensional structural and material changes in bone have raised concerns. Recent advances in CT-based Structural Rigidity Analysis (CTRA), offer a promising, more accurate non-invasive 3D approach. This study aims to assess the efficacy of CTRA in monitoring osteolytic lesions' progression and response to therapy, suggesting its potential superiority over existing methodologies in guiding treatment strategies. METHODS: Twenty-seven female nude rats underwent femoral intra-medullary inoculation with MDA-MB-231 human breast cancer cells or saline control. They were divided into Control, Cancer Control, Ibandronate, and Paclitaxel groups. Osteolytic progression was monitored weekly using biplanar radiography, quantitative computed tomography (QCT), and dual-energy X-ray absorptiometry (DEXA). CTRA was employed to predict fracture risk, normalized using the contralateral femur. Statistical analyses, including Kruskal-Wallis and ANOVA, assessed differences in outcomes among groups and over time. RESULTS: Biplanar radiographs showed treatment benefits over time; however, only certain time-specific differences between the Control and other treatment groups were discernible. Notably, observer subjectivity in X-ray scoring became evident, with significant inter-operator variations. DEXA measurements for metaphyseal Bone Mineral Content (BMC) did not exhibit notable differences between groups. Although diaphyseal BMC highlighted some variance, it did not reveal significant differences between treatments at specific time points, suggesting a limited ability for DEXA to differentiate between treatment effects. In contrast, the CTRA consistently demonstrated variations across different treatments, effectively capturing bone rigidity changes over time, and the axial- (EA), bending- (EI), and torsional rigidity (GJ) outcomes from the CTRA method successfully distinguished differences among treatments at specific time points. CONCLUSION: Traditional approaches, such as biplanar radiographs and DEXA, have exhibited inherent limitations, notably observer bias and time-specific inefficacies. Our study accentuates the capability of CTRA in capturing real-time, progressive changes in bone structure, with the potential to predict fractures more accurately and provide a more objective analysis. Ultimately, this innovative approach may bridge the existing gap in clinical guidelines, ushering in enhanced Clinical Decision Support Tool (CDST) for both surgical and non-surgical treatments.

Cardiac Biomarkers are Associated with Incident Fracture Risk in Advanced Chronic Kidney Disease.

Cardiovascular disease is associated with increased fracture risk in the general population. Few data exist on the association between cardiovascular health and incident fracture risk in patients with advanced CKD, a high-risk population for fractures. We aimed to assess the link between fracture risk and cardiovascular health in a prospective cohort of 210 patients with CKD stage G4-5. Incident fractures were recorded during a prospective follow-up of 5 years. Laboratory parameters, abdominal aortic calcification score, echocardiography, ultrasound assessment of brachial artery flow-mediated dilatation and carotid intima-media thickness, and maximal stress ergometry were obtained at baseline. A total of 51 fractures were observed in 40 (19%) patients during follow-up. In separate multivariable Cox proportional hazards models adjusted for age, gender, and baseline eGFR, TnT (HR 1.007, CI 95% 1.003-1.010, p < 0.001) and ProBNP (HR 1.000, CI 95% 1.000-1.000, p = 0.017) were associated with incident fractures and the association persisted after adjusting for coronary artery disease (CAD). The patients unable to perform the ergometry test had a higher risk of incident fractures compared to others (36.1% vs 15.5%, p = 0.009). A cardiovascular composite risk score summarizing TnT, ProBNP, and ergometry data was independently associated with incident fractures in a multivariable Cox model (HR 1.373, CI 95% 1.180-1.599, p < 0.001). Patients with the lowest score were observed with no fractures, while patients with the highest score were observed with a fracture risk of 40.5% during follow-up. Risk of incident fractures is associated with biomarkers of cardiovascular health and a composite cardiovascular risk score in patients with advanced CKD.

The association of type 2 diabetes-related characteristics with fracture risk at different sites.

AIM: To determine the association of diabetes-related characteristics with fractures at different sites in individuals with type 2 diabetes (T2D). MATERIALS AND METHODS: We conducted a cohort study using the Clinical Practice Research Datalink (CPRD) GOLD. Patients aged over 30 years with T2D were identified within the CPRD. Patients were followed from the start of diabetes treatment until the end of data collection, death, or the occurrence of a fracture. Cox proportional hazards models were used to estimate the hazard ratios for the association of the individual characteristics (diabetes duration, glycated haemoglobin [HbA1c] level, and microvascular complications) with fracture risk, adjusted for demographics, comorbidities and comedication. RESULTS: A diabetes duration of >10 years was associated with an increased risk of any fracture and major osteoporotic fractures (MOFs), while a diabetes duration of >8 years was associated with an increased hip fracture risk, compared to a duration <2 years. An HbA1c level <6% was associated with an increased fracture risk compared to HbA1c values of 6% to <7%. The presence of one or two microvascular complications was associated with an increased risk of any fracture and MOFs and the presence of two microvascular complications was associated with an increased hip fracture risk, compared to no microvascular complications. CONCLUSION: In conclusion, our study shows that a diabetes duration of 10 years or more, strict glycaemic control resulting in HbA1c levels below 6%, and/or the presence of at least one microvascular complication increased the risk of any fracture, hip fractures, MOFs, and humerus fractures, but not ankle, scapula or skull fractures.

Secondary fracture and mortality risk with very high fracture risk osteoporosis and proximal femoral fracture.

INTRODUCTION: We aimed to investigate secondary fracture and mortality rates, and risk factors in patients with proximal femoral fractures. MATERIALS AND METHODS: We conducted a multicenter prospective cohort study on female patients with proximal femoral fractures who underwent surgical treatment between April 2020 and March 2021. Postoperative follow-ups were performed at 6-, 12-, 18-, and 24-month intervals to determine the secondary fracture and mortality rates, and the risk factors and its influence were examined. RESULTS: Of the 279 registered patients, 144 patients (51.6%) were diagnosed with very high fracture risk osteoporosis. The postoperative osteoporosis rate exceeded 96%; however, osteoanabolic agents were used sparingly. The risk factor of both secondary fracture and mortality was very high fracture risk osteoporosis, and secondary fractures within 12 months were markedly occurred. Secondary fracture rates increased as the number of matched very high fracture risk osteoporosis criteria increased. Notably, secondary fractures and mortality were recorded in 21.4% and 23.5% of the patients who met all criteria, respectively. CONCLUSION: Over half of the female patients with proximal femoral fractures had very high fracture risk osteoporosis. Although, very high fracture risk osteoporosis demonstrated a notably increased risk of secondary fractures, particularly at 12 months post-surgery, the use of osteoanabolic agents was substantially low. Collectively, our findings highlight the need to consider the risk of very high fracture risk osteoporosis, expand the use of medications to include osteoanabolic agents, and reconsider the current healthcare approach for proximal femoral fractures.

Androgen deprivation therapy-related fracture risk in prostate cancer: an insurance claims database study in Japan.

INTRODUCTION: Androgen deprivation therapy (ADT) is widely used for the treatment of prostate cancer. ADT is associated with reduced bone density leading to an increased risk of osteoporotic fracture. The objective of this retrospective cohort study was to quantify fracture risk in men treated with ADT for prostate cancer in real-world practice in Japan. MATERIALS AND METHODS: Data were extracted from the Japanese Medical Data Vision (MDV) database. Men initiating ADT for treatment of prostate cancer between April 2010 and March 2021 were identified and matched to a cohort of prostate cancer patients not taking ADT using a propensity score. Fracture rates were estimated by a cumulative incidence function and compared between cohorts using a Cox cause-specific hazard model. Information was extracted on demographics, comorbidities and bone densitometry. RESULTS: 30,561 men with PC starting ADT were matched to 30,561 men with prostate cancer not treated with ADT. Following ADT initiation, <5% of men underwent bone densitometry. Prescription of ADT was associated with an increased fracture risk compared to not taking ADT (adjusted hazard ratio: 1.63 [95% CI 1.52-1.75]). CONCLUSION: ADT is associated with a 1.6-fold increase in the risk of osteoporotic fracture in men with prostate cancer. Densitometry in this population is infrequent and monitoring urgently needs to be improved in order to implement effective fracture prevention.

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.

Multimorbidity clusters potentially superior to individual diseases for stratifying fracture risk in older people: a nationwide cohort study.

RATIONALE: Comorbidities are common in fracture patients, but the interaction between fracture and comorbidities remains unclear. This study aimed to define specific multimorbidity clusters in older adults and quantify the association between the multimorbidity clusters and fracture risk. METHODS: This nationwide cohort study includes 1.7 million adults in Denmark aged ≥50 years who were followed from 2001 through 2014 for an incident low-trauma fracture. Chronic diseases and fractures were identified from the Danish National Hospital Discharge Register. Latent class analysis and Cox's regression were conducted to define the clusters and quantify fracture risk, respectively. RESULTS: The study included 793 815 men (age: 64 ± 10) and 873 524 women (65.5 ± 11), with a third having ≥1 chronic disease. The pre-existent chronic diseases grouped individuals into low-multimorbidity (80.3% in men, 83.6% in women), cardiovascular (12.5%, 10.6%), malignant (4.1%, 3.8%), diabetic (2.4%, 2.0%) and hepatic clusters (0.7%, men only). These clusters distinguished individuals with advanced, complex, or late-stage disease from those having earlier-stage disease. During a median follow-up of 14 years (IQR: 6.5, 14), 95 372 men and 212 498 women sustained an incident fracture. The presence of multimorbidity was associated with a significantly greater risk of fracture, independent of age and sex. Importantly, the multimorbidity clusters had the highest discriminative performance in assessing fracture risk, whereas the strength of their association with fracture risk equalled or exceeded that of both the individual chronic diseases most prevalent in each cluster and of counts-based comorbidity indices. CONCLUSIONS: Future fracture prevention strategies should take comorbidities into account. Multimorbidity clusters may provide greater insight into fracture risk than individual diseases or counts-based comorbidity indices.

Skeletal fragility in pituitary disease: how can we predict fracture risk?

Pituitary hormones play a crucial role in regulating skeletal physiology, and skeletal fragility is a frequent complication of pituitary diseases. The ability to predict the risk of fracture events is crucial for guiding therapeutic decisions; however, in patients with pituitary diseases, fracture risk estimation is particularly challenging. Compared to primary osteoporosis, the evaluation of bone mineral density by dual X-ray absorptiometry is much less informative about fracture risk. Moreover, the reliability of standard fracture risk calculators does not have strong validations in this setting. Morphometric vertebral assessment is currently the cornerstone in the assessment of skeletal fragility in patients with pituitary diseases, as prevalent fractures remain the strongest predictor of future fracture events. In recent years, new tools for evaluating bone quality have shown promising results in assessing bone impairment in patients with pituitary diseases, but most available data are cross-sectional, and evidence regarding the prediction of incident fractures is still scarce. Of note, apart from measures of bone density and bone quality, the estimation of fracture risk in the context of pituitary hyperfunction or hypofunction cannot ignore the evaluation of factors related to the underlying disease, such as its severity and duration, as well as the specific therapies implemented for its treatment. Aim of this review is to provide an up-to-date overview of all major evidence regarding fracture risk prediction in patients with pituitary disease, highlighting the need for a tailored approach that critically integrates all clinical, biochemical, and instrumental data according to the specificities of each disease.