Development and validation of a predictive model for vertebral fracture risk in osteoporosis patients.

OBJECTIVE: This study aimed to develop and validate a predictive model for osteoporotic vertebral fractures (OVFs) risk by integrating demographic, bone mineral density (BMD), CT imaging, and deep learning radiomics features from CT images. METHODS: A total of 169 osteoporosis-diagnosed patients from three hospitals were randomly split into OVFs (n = 77) and Non-OVFs (n = 92) groups for training (n = 135) and test (n = 34). Demographic data, BMD, and CT imaging details were collected. Deep transfer learning (DTL) using ResNet-50 and radiomics features were fused, with the best model chosen via logistic regression. Cox proportional hazards models identified clinical factors. Three models were constructed: clinical, radiomics-DTL, and fusion (clinical-radiomics-DTL). Performance was assessed using AUC, C-index, Kaplan-Meier, and calibration curves. The best model was depicted as a nomogram, and clinical utility was evaluated using decision curve analysis (DCA). RESULTS: BMD, CT values of paravertebral muscles (PVM), and paravertebral muscles' cross-sectional area (CSA) significantly differed between OVFs and Non-OVFs groups (P < 0.05). No significant differences were found between training and test cohort. Multivariate Cox models identified BMD, CT values of PVM, and CSAPS reduction as independent OVFs risk factors (P < 0.05). The fusion model exhibited the highest predictive performance (C-index: 0.839 in training, 0.795 in test). DCA confirmed the nomogram's utility in OVFs risk prediction. CONCLUSION: This study presents a robust predictive model for OVFs risk, integrating BMD, CT data, and radiomics-DTL features, offering high sensitivity and specificity. The model's visualizations can inform OVFs prevention and treatment strategies.

Association of muscle health impairment and atherosclerosis with major osteoporotic fracture risk in Taiwanese Vegetarians.

Objectives: Despite the beneficial effects of "vegetarian style" diet on atherosclerosis, it is also proven potentially detrimental to bone health. The influence of muscle health or atherosclerosis on major osteoporotic fracture (MOF) risk in vegetarians has rarely been explored. This prospective study aimed to investigate an association of MOF risk with muscle health and atherosclerosis in vegetarians. Materials and Methods: We conducted a questionnaire survey with the Mini-Nutritional Assessment (MNA) on 39 vegetarians. The 10-year probability of MOF was determined using the Taiwanese Fracture Risk Assessment (FRAX®) calculator. Appendicular skeletal muscle (ASM) mass and bone mineral density were measured with dual-energy X-ray absorptiometry. Physical performance was evaluated using the 6-min walk test (6MWT). Common carotid artery intima-media thickness (ccIMT) was determined using sonography. Serum levels of parathyroid hormone (PTH), Vitamin D, adiponectin, and leptin were measured. Results: Eleven (28.2%) of 39 vegetarians had a moderate-high risk of MOF, defined by FRAX-calculated risk ≥10%. These subjects had lower ASM (P < 0.005) and 6MWT distances (P < 0.01) but greater ccIMT than those with low risk. The MOF risk was negatively correlated with ASM (r = -0.51, P < 0.001) and 6MWT distances (r = -0.62, P < 0.001) but positively correlated with ccIMT (r = 0.56, P < 0.001). Linear regression analysis revealed that MOF risk scores were negatively associated with ASM and 6MWT distance while positively associated with ccIMT. There was no significant association of MOF risk with MNA scores, serum levels of PTH, Vitamin D, adiponectin, or leptin. Conclusion: Decreased ASM mass, reduced physical performance, and atherosclerosis are significantly associated with MOF risk in vegetarians.

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.

A Computed Tomography-Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study.

BACKGROUND: With the progressive increase in aging populations, the use of opportunistic computed tomography (CT) scanning is increasing, which could be a valuable method for acquiring information on both muscles and bones of aging populations. OBJECTIVE: The aim of this study was to develop and externally validate opportunistic CT-based fracture prediction models by using images of vertebral bones and paravertebral muscles. METHODS: The models were developed based on a retrospective longitudinal cohort study of 1214 patients with abdominal CT images between 2010 and 2019. The models were externally validated in 495 patients. The primary outcome of this study was defined as the predictive accuracy for identifying vertebral fracture events within a 5-year follow-up. The image models were developed using an attention convolutional neural network-recurrent neural network model from images of the vertebral bone and paravertebral muscles. RESULTS: The mean ages of the patients in the development and validation sets were 73 years and 68 years, and 69.1% (839/1214) and 78.8% (390/495) of them were females, respectively. The areas under the receiver operator curve (AUROCs) for predicting vertebral fractures were superior in images of the vertebral bone and paravertebral muscles than those in the bone-only images in the external validation cohort (0.827, 95% CI 0.821-0.833 vs 0.815, 95% CI 0.806-0.824, respectively; P<.001). The AUROCs of these image models were higher than those of the fracture risk assessment models (0.810 for major osteoporotic risk, 0.780 for hip fracture risk). For the clinical model using age, sex, BMI, use of steroids, smoking, possible secondary osteoporosis, type 2 diabetes mellitus, HIV, hepatitis C, and renal failure, the AUROC value in the external validation cohort was 0.749 (95% CI 0.736-0.762), which was lower than that of the image model using vertebral bones and muscles (P<.001). CONCLUSIONS: The model using the images of the vertebral bone and paravertebral muscle showed better performance than that using the images of the bone-only or clinical variables. Opportunistic CT screening may contribute to identifying patients with a high fracture risk in the future.

Using a statistical shape model to estimate the knee landmarks for aligning femurs for femoral finite element models.

BACKGROUND AND OBJECTIVE: The BOne Strength (BOS) score is a CT-based tool to assess fracture risk for patients with femoral bone metastases using finite element (FE) models. Until now, the knee joint center (KJC) and centers of the condyles (CoCs) were needed to create the FE model, hence BOS scores of incompletely scanned femurs could not be calculated. In this study, a statistical shape model (SSM) was used to align FE models of femurs with a removed knee anatomy. The aim was to determine the effect of using an SSM with different proximal femur fractions on KJC and CoC locations, and on the BOS score. METHODS: QCT scans of 117 femurs were used to generate patient-specific FE models of the proximal femur. These models were aligned using the knee joint center (KJC), center of condyles (CoC) and femoral head center. The femurs were artificially shortened by removing 30 %, 50 % or 70 % of the femur. A recently developed SSM was used to reconstruct the distal femur. For each of the femur fractions, the difference between the original and SSM-reconstructed KJC and CoC were determined and the BOS scores were calculated. RESULTS: Although the individual differences between the original and SSM-reconstructed KJC and CoC location could be large, the effect on the individual BOS scores was limited. The SSM-reconstructed BOS scores were highly correlated to the original BOS scores. CONCLUSION: Using SSM to align femurs with a removed knee anatomy resulted in varying estimation of knee anatomy between patients but relatively accurate BOS scores.

Real-world effectiveness of osteoporosis screening in older Swedish women (SUPERB).

Older women diagnosed with osteoporosis and referred to their general practitioners (GPs) exhibited significantly higher osteoporosis treatment rates and a reduced fracture risk compared to non-osteoporotic women who were not referred to their GPs. OBJECTIVE: The objective of this study was to investigate treatment rates and fracture outcomes in older women, from a population-based study, 1) diagnosed with osteoporosis, with subsequent referral to their general practitioner (GP), 2) women without osteoporosis, without referral to their GP. METHODS: In total, 3028 women, 75-80 years old were included in the SUPERB cohort. At inclusion, 443 women were diagnosed with osteoporosis (bone mineral density (BMD) T-score ≤ -2.5) at the lumbar spine or hip, did not have current or recent osteoporosis treatment, and were referred to their GP for evaluation (referral group). The remaining 2585 women without osteoporosis composed the control group. Sensitivity analysis was performed on subsets of the original groups. Adjusted Cox regression (hazard ratios (HR) and 95 % confidence intervals (CI)) analyses were performed to investigate the risk of incident fractures and the incidence of osteoporosis treatment. RESULTS: Cox regression models, adjusted for age, sex, body mass index (BMI), smoking, alcohol, glucocorticoid use, previous fracture, parent hip fracture, secondary osteoporosis, rheumatoid arthritis, and BMD at the femoral neck, revealed that the risk of major osteoporotic fracture was significantly lower (HR = 0.81, 95 % CI [0.67-0.99]) in the referral group than in the controls. Similarly, the risk of hip fracture (HR = 0.69, [0.48-0.98]) and any fracture (HR = 0.84, [0.70-1.00]) were lower in the referral group. During follow-up, there was a 5-fold increase (HR = 5.00, [4.39-5.74]) in the prescription of osteoporosis medication in the referral group compared to the control group. CONCLUSION: Screening older women for osteoporosis and referring those with osteoporosis diagnosis was associated with substantially increased treatment rates and reduced risk of any fracture, MOF, and hip fracture, compared to non-osteoporotic women.

Risk Factors for Bone Microarchitecture Impairments in Older Men with Type 2 Diabetes - The MrOS Study.

CONTEXT: Impaired bone microarchitecture, assessed by high-resolution peripheral quantitative computed tomography (HR-pQCT), may contribute to bone fragility in type 2 diabetes (T2DM) but data on men are lacking. OBJECTIVE: To investigate the association between T2DM and HR-pQCT parameters in older men. METHODS: HR-pQCT scans were acquired on 1794 participants in the Osteoporotic Fractures in Men (MrOS) study. T2DM was ascertained by self-report or medication use. Linear regression models, adjusted for age, race, BMI, limb length, clinic site, and oral corticosteroid use, were used to compare HR-pQCT parameters by diabetes status. RESULTS: Among 1777 men, 290 had T2DM (mean age 84.4 years). T2DM men had smaller total cross-sectional area (Tt.AR) at the distal tibia (p=0.028) and diaphyseal tibia (p=0.025), and smaller cortical area at the distal (p= 0.009) and diaphyseal tibia (p= 0.023). Trabecular indices and cortical porosity were similar between T2DM and non-T2DM. Among men with T2DM, in a model including HbA1c, diabetes duration, and insulin use, diabetes duration ≥ 10 years, compared with <10 years, was significantly associated with higher cortical porosity but with higher trabecular thickness at the distal radius. Insulin use was significantly associated with lower cortical area and thickness at the distal radius and diaphyseal tibia and lower failure load at all three scan sites. Lower cortical area, cortical thickness, total BMD, cortical BMD, and failure load of the distal sites were associated with increased risk of incident non-vertebral fracture in T2DM. CONCLUSIONS: Older men with T2DM have smaller bone size compared to non-T2DM, which may contribute to diabetic skeletal fragility. Longer diabetes duration was associated with higher cortical porosity and insulin use with cortical bone deficits and lower failure load.

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.

Bibliometric analysis of publications on trabecular bone score (TBS).

Purpose: Trabecular bone score (TBS), as a texture indicator of bone microarchitecture, predicts the risk of fracture. This study aims to explore the knowledge map of TBS. Methods: We searched Scopus for "trabecular bone score" or "trabecular score" from the beginning to 2021. Our inclusion criteria were original articles and reviews that were related to TBS and our exclusion criteria were non-English articles, non-related to TBS, and document type other than original articles and reviews. and related documents were included for bibliometric analysis. Excel, VOS viewer, and Science of Science (Sci2) software were used for data synthesis. Results: From 749 retrieved articles, 652 articles were included for analysis. These documents were cited 12,153 times and had an H-index of 56. The most productivity belonged to the USA (n = 130 documents), Switzerland (n = 101), and Italy (n = 67). "Osteoporosis International" (n = 80) had the highest participation in publishing. The research topics of interest were mainly related to the applicability of TBS for fracture risk assessment in chronic endocrine disorders such as osteoporosis and diabetes mellitus. Bursting analysis of the title and abstract revealed the initial focus of the discriminative power of TBS for osteoporotic fracture and the more recent focus on comparing bone mineral density (BMD) and TBS in a variety of chronic diseases. Conclusion: The number of annual publications on TBS has increased, especially after 2016. These publications highlight the importance of in-depth knowledge of TBS in predicting fracture risk and also its strengths and limitations of treatment monitoring in different health conditions. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01338-7.

A Diagnosis of Turner Syndrome in the Eighth Decade of Life.

Turner syndrome (TS) is the most common sex chromosome disorder affecting females and is usually diagnosed within the first 3 decades of life. It can present with primary amenorrhea or infertility and often has a typical phenotype, with associated medical conditions that require lifelong surveillance. We report the case of a 76-year-old female with a history of osteoporosis and vertebral fractures who presented to our specialist osteoporosis clinic following a neck of femur fracture. She revealed a history of short stature and primary amenorrhea as a young woman, with limited investigation and treatment. Her other medical history included coeliac disease, hypertension, and hearing and vision abnormalities. Given her phenotype, the patient was referred for a karyotype at age 76, which was consistent with mosaic TS (45, X in 78% of cells and 46, X, r(Y) in the remaining cells). We review reports of other cases of marked delay in TS diagnosis and discuss the consequences of a late diagnosis.

Osteoporosis treatment prevents hip fracture similarly in both sexes: the FOCUS observational study.

Randomized trials have not been performed, and may never be, to determine if osteoporosis treatment prevents hip fracture in men. Addressing that evidence gap, we analyzed data from an observational study of new hip fractures in a large integrated healthcare system to compare the reduction in hip fractures associated with standard-of-care osteoporosis treatment in men versus women. Sampling from 271 389 patients age ≥ 65 who had a hip-containing computed tomography scan during care between 2005-2018, we selected all who subsequently had a first hip fracture (cases) after the CT scan (start of observation) and a sex-matched equal number of randomly selected patients. From those, we analyzed all who tested positive for osteoporosis (DXA-equivalent hip bone mineral density T-score ≤ -2.5, measured from the CT scan using VirtuOst). We defined "treated" as at least six months of any osteoporosis medication by prescription fill data during follow up; "not-treated" was no prescription fill. Sex-specific odds ratios of hip fracture for treated versus not-treated patients were calculated by logistic regression; adjustments included age, BMD T-score, a BMD-treatment interaction, body mass index, race/ethnicity, and seven baseline clinical risk factors. At two-year follow-up, 33.9% of the women (750/2211 patients) and 24.0% of the men (175/728 patients) were treated, primarily with alendronate; 51.3% and 66.3%, respectively, were not-treated; and 721 and 269, respectively, had a first hip fracture since the CT scan. Odds ratio of hip fracture for treated versus not-treated was 0.26 (95% confidence interval: 0.21-0.33) for women and 0.21 (0.13-0.34) for men; the ratio of these odds ratios (men:women) was 0.81 (0.47-1.37), indicating no significant sex effect. Various sensitivity and stratified analyses confirmed these trends, including results at five-year follow-up. Given these results and considering the relevant literature, we conclude that osteoporosis treatment prevents hip fracture similarly in both sexes.

Much evidence suggests that osteoporosis treatment should prevent hip fracture similarly in both sexes. However, because of their expense, randomized clinical trials to demonstrate that definitively have not been performed and may never be. As a result, osteoporosis testing and treatment is not as widely adopted for men as it is for women. Addressing that evidence gap, we analyzed data from over 250 000 patients in the Kaiser Permanente healthcare system in Southern California. Sampling a subset of all patients over a 13-year period who had had a computed tomography (CT or CAT) scan as part of their medical care for any reason, we measured bone mineral density from the CT scans to identify all patients who had osteoporosis at the hip and then used data from the electronic health records to determine statistically the risk of a future hip fracture for those who were treated for osteoporosis versus those who were not treated. We found that the reduction in risk of hip fracture associated with treatment did not differ between the sexes. These results demonstrate that treating osteoporosis in patients at high risk of hip fracture should reduce the risk of hip fracture similarly in both sexes.

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.

The paradox of bone mineral density and fracture risk in type 2 diabetes.

Fracture risk in type 2 diabetes (T2D) patients is paradoxically increased despite no decrease in areal bone mineraldensity (BMD). This phenomenon, known as the "diabetic bone paradox", has been attributed to various factorsincluding alterations in bone microarchitecture and composition, hyperinsulinemia and hyperglycemia, advancedglycation end products (AGEs), and comorbidities associated with T2D. Zhao et al. recently investigated therelationship between T2D and fracture risk using both genetic and phenotypic datasets. Their findings suggest thatgenetically predicted T2D is associated with higher BMD and lower fracture risk, indicating that the bone paradox isnot observed when confounding factors are controlled using Mendelian randomization (MR) analysis. However, inprospective phenotypic analysis, T2D remained associated with higher BMD and higher fracture risk, even afteradjusting for confounding factors. Stratified analysis revealed that the bone paradox may disappear when T2Drelatedrisk factors are eliminated. The study also highlighted the role of obesity in the relationship between T2Dand fracture risk, with BMI mediating a significant portion of the protective effect. Overall, managing T2D-relatedrisk factors may be crucial in preventing fracture risk in T2D patients.

Relationship Between Overactive Bladder and Bone Fracture Risk in Female Patients.

BACKGROUND/AIM: Overactive bladder (OAB) has recently been recognized as an independent risk factor for falls and fractures. This study aimed to predict fracture risk in female patients with OAB symptoms. PATIENTS AND METHODS: We assessed and compared the fracture risk in newly diagnosed female patients with OAB to those without OAB using the Fracture Risk Assessment Tool (FRAX), and investigated the relationship between fracture risk and OAB severity. RESULTS: The present single-center, cross-sectional study included 177 female participants (79 with OAB, 98 without OAB). The OAB group was older (p=0.033) and shorter (p=0.010) compared to the non-OAB group. Compared to the non-OAB group, the OAB group had more patients with hypertension (p<0.001) and diabetes mellitus (p=0.011), as well as higher risks for major fractures (non-OAB group: 15.2±13.2%; OAB group: 23.6±14.1%; p<0.001) and hip fractures (non-OAB group: 6.3±11.0%; OAB group: 10.6±10.0%; p=0.007). In addition, those with moderate/severe OAB had the most significantly elevated risks for both major fractures (non-OAB group: 15.2±13.2%, mild-OAB: 17.6±12.5%, moderate/sever-OAB: 26.4±14.0%; p<0.001) and hip fractures (non-OAB group: 6.3±11.0%, mild-OAB: 6.5±7.6%, moderate/sever-OAB: 12.5±10.4%; p<0.001). Among the OAB symptoms, nocturia had the strongest correlation with fracture risk (major fracture, ρ=0.534; hip fracture, ρ=0.449; all p<0.001). CONCLUSION: Patients with severe OAB, and particularly severe nocturia, should be closely monitored with timely and aggressive symptom management; however, an interventional study incorporating the management of OAB symptoms is required to confirm whether the proactive management of OAB symptoms reduces the risk of fractures in older females.

Risk of fractures following bariatric surgery with Roux-en-Y gastric bypass or sleeve gastrectomy: a Danish population-based cohort study.

OBJECTIVE: We examined the association between Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG) and fracture risk, including major osteoporotic fractures (MOF), and the use of anti-osteoporosis medication (AOM). While RYGB is associated with impaired bone health and increased fracture risk, it remains uncertain whether SG has a similar impact and whether this risk is primarily due to MOF or any fracture. DESIGN: We conducted a nationwide cohort study covering patients treated with RYGB (n = 16 121, 10.2-year follow-up) or SG (n = 1509, 3.7-year follow-up), from 2006 to 2018, comparing them with an age- and sex-matched cohort (n = 407 580). METHODS: We computed incidence rates and adjusted hazard ratios (HRs) with 95% CIs, using Cox regression for any fracture, MOF, and use of AOM with adjustment for comorbidities. RESULTS: Compared with the general population cohort, RYGB was associated with an increased risk of any fracture (HR 1.56 [95% CI, 1.48-1.64]) and MOF (HR 1.49 [1.35-1.64]). Sleeve gastrectomy was associated with an increased risk of any fracture (HR 1.38 [1.13-1.68]), while the HR of MOF was 1.43 (0.97-2.12). The use of AOM was low but similar in all cohorts (approximately 1%). CONCLUSIONS: Bariatric surgery increased the risk of any fracture and MOF to similar extend. Risks were similar for RYGB and SG. However, SG had a shorter follow-up than RYGB, and the cohort size was rather small. More research is needed for long-term SG fracture risk assessment. The use of AOM was low in all cohorts.

The development and validation of a prediction model for imminent vertebral osteoporotic fracture in postmenopausal women.

PURPOSE: This study aimed to develop and validate a new model that focused on the risk of imminent vertebral fractures in women with osteoporosis. METHODS: Data from 2,048 patients were extracted from three hospitals, of which 1,720 patients passed the inclusion and exclusion screen. The patients from Nanfang Hospital (NFH) were randomized at a 2:1 ratio to create a training cohort (n = 709) and an internal validation cohort (n = 355), with the patients from the other two hospitals (n = 656) used for external validation. The risk factors included in the imminent osteoporotic vertebral compression fractures (OVCFs) prediction model (labelled TVF) were sorted by the least absolute shrinkage and selection operator and constructed by logistic regression. The area under the receiver operating characteristic curve (AUC), the decision curve, and the clinical impact curves of the optimal model were analyzed to verify the model. RESULTS: There were 138 and 161 fresh fractures in NFH and the other two hospitals, respectively. The lowest BMD T value and the history of vertebral fracture were integrated into the TVF model. The prediction power of TVF was demonstrated by the AUCs of 0.788 (95% confidence interval [CI], 0.728-0.849) in the training cohort and 0.774 (95% CI, 0.705-0.842) in the internal validation cohort, and 0.790 (95% CI, 0.742-0.839) and 0.741 (95% CI, 0.668-0.813) in the external validation cohorts. CONCLUSION: The TVF model demonstrated good discrimination to stratify the imminent risk of OVCFs. We therefore consider the model as a pertinent commencement in the search for more accurate imminent OVCFs prediction.

Association of systemic inflammatory response index with bone mineral density, osteoporosis, and future fracture risk in elderly hypertensive patients.

OBJECTIVES: This study sought to investigate the relationship between the systemic inflammatory response index (SIRI) and bone mineral density (BMD), osteoporosis, and future fracture risk in elderly hypertensive patients. METHODS: Elderly hypertensive patients (age ≥60 years) who attended our hospital between January 2021 and December 2023 and completed BMD screening were included in the study. Analyses were performed with multivariate logistic and linear regression. RESULTS: The multiple linear regression indicated that SIRI levels were significantly negatively correlated with lumbar 1 BMD (ß = -0.15, 95% CI: -0.24, -0.05), lumbar 2 BMD (ß = -0.15, 95% CI: -0.24, -0.05), lumbar 3 BMD (ß = -1.35, 95% CI: -0.23, -0.02), lumbar 4 BMD (ß = -0.11, 95% CI: -0.30, -0.10), femur neck BMD (ß = -0.11, 95% CI: -0.18, -0.05) and Ward's triangle BMD (ß = -0.12, 95% CI: -0.20, -0.05) among elderly hypertensive patients, after fully adjusting for confounders. Furthermore, we observed that SIRI was positively associated with future fracture risk in elderly hypertensive patients. Specifically, SIRI was associated with an increased risk of major osteoporotic fractures (ß = 0.33) and hip fractures (ß = 0.25). The logistic regression analysis indicated that there is an association between the SIRI level and an increased risk of osteoporosis (OR = 1.60, 95% CI = 1.37, 1.87), after fully adjusting for confounders. CONCLUSIONS: Our findings indicate a potential association between SIRI and BMD, osteoporosis, and the risk of future fractures in elderly hypertensive patients. However, further studies are warranted to confirm these findings.

Association of osteoporotic fractures of femoral neck and femoral neck geometric parameters in native Chinese women.

BACKGROUND: Although it is generally believed that the femoral neck fracture is related to the femoral neck geometric parameters (FNGPs), the association between the risk of osteoporotic fracture of the femoral neck and FNGPs in native Chinese women is still unclear. METHODS: A total of 374 female patients (mean age 70.2 ± 9.32 years) with osteoporotic fracture of the femoral neck, and 374 non-fracture control groups were completely matched with the case group according to the age ratio of 1:1. Using DXA bone densitometer to measured eight FNGPs: the outer diameter (OD), cross-sectional area (CSA), cortical thickness (CT), endocortical diameter (ED), buckling ratio (BR), section modulus (SM), cross-sectional moment of inertia (CSMI), and compressive strength index (CSI) at the narrowest point of the femoral neck. RESULTS: Compared with the control group, the average values of OD (2.9%), ED (4.5%), and BR (26.1%) in the patient group significantly increased (p = 0.015 to < 0.001), while CSA (‒15.3%), CT (‒18.2%), SM (‒10.3%), CSMI (‒6.4%), and CSI (‒10.8%) significantly decreased (all p < 0.001). The prevalence of osteoporosis in the lumbar spine, femoral neck, and total hip was, respectively, 82%, 81%, and 65% in fracture patients. Cox proportional hazard model analysis showed that in the age adjusted model, the fracture hazard ratio (HR) of CSA, CT, BR, SM, and CSI significantly increased (HRs = 1.60‒8.33; 95% CI = 1.08‒16.6; all p < 0.001). In the model adjusted for age and femoral neck BMD, HRs of CT (HRs = 3.90‒8.03; 95% CI = 2.45‒15.1; all p < 0.001) and BR (HRs = 1.62‒2.60; 95% CI = 1.20‒5.44; all p < 0.001) were still significantly increased. CONCLUSION: These results suggest that the majority of osteoporotic fractures of the femoral neck of native Chinese women occur in patients with osteoporosis. CT thinning or BR increase of FNGPs may be independent predictors of fragility fracture of femoral neck in native Chinese women unrelated to BMD.

A novel case-finding strategy based on artificial intelligence for the systematic identification and management of individuals with osteoporosis or at varying risk of fragility fracture.

An artificial intelligence-based case-finding strategy has been developed to systematically identify individuals with osteoporosis or at varying risk of fragility fracture. This strategy has the potential to close the critical care gap in osteoporosis treatment in primary care, thereby lessening the societal burden imposed by fragility fractures. BACKGROUND: Osteoporotic fractures represent a major cause of morbidity and, in older adults, a precursor of disability, loss of independence, poor quality of life and premature death. Despite the detrimental health impact, osteoporosis remains largely underdiagnosed and undertreated worldwide. Subjects at risk for osteoporosis-related fractures are identified either via organised screening or case finding. In the absence of a population-based screening policy, subjects at high risk of fragility fractures are opportunistically identified when a fracture occurs or because of other clinical risk factors (CRFs) for osteoporotic fracture and areal bone mineral density (aBMD) measured by dual-energy X-ray absorptiometry (DXA). PURPOSE: This paper describes the development of a novel case-finding strategy, named Osteoporosis Diagnostic and Therapeutic Pathway (ODTP), which enables to identify subjects with osteoporosis or at varying risk of fragility fracture. This strategy is based on a specifically designed software tool, named "Bone Fragility Query" (BFQ), which analyses the electronic health record (EHR) databases of General Practitioners (GPs) to systematically identify individuals who should be prescribed DXA-BMD measurement, vertebral fracture assessment (VFA) and anti-osteoporosis medications (AOM). CONCLUSIONS: The ODTP through BFQ tool is a feasible, convenient and time-saving osteoporosis model of care for GPs during routine clinical practice. It enables GPs to shift their focus from what to do (clinical guidelines) to how to do it in the primary health care setting. It also allows a systematic approach to primary and secondary prevention of fragility fractures, thereby overcoming clinical inertia and contributing to closing the gap between evidence and practice for the management of osteoporosis in primary care.

Guidelines for fracture risk assessment and management of osteoporosis in postmenopausal women and men above the age of 50 in Qatar.

We present comprehensive guidelines for osteoporosis management in Qatar. Formulated by the Qatar Osteoporosis Association, the guidelines recommend the age-dependent Qatar fracture risk assessment tool for screening, emphasizing risk-based treatment strategies and discouraging routine dual-energy X-ray scans. They offer a vital resource for physicians managing osteoporosis and fragility fractures nationwide. PURPOSE: Osteoporosis and related fragility fractures are a growing public health issue with an impact on individuals and the healthcare system. We aimed to present guidelines providing unified guidance to all healthcare professionals in Qatar regarding the management of osteoporosis. METHODS: The Qatar Osteoporosis Association formulated guidelines for the diagnosis and management of osteoporosis in postmenopausal women and men above the age of 50. A panel of six local rheumatologists who are experts in the field of osteoporosis met together and conducted an extensive review of published articles and local and international guidelines to formulate guidance for the screening and management of postmenopausal women and men older than 50 years in Qatar. RESULTS: The guidelines emphasize the use of the age-dependent hybrid model of the Qatar fracture risk assessment tool for screening osteoporosis and risk categorization. The guidelines include screening, risk stratification, investigations, treatment, and monitoring of patients with osteoporosis. The use of a dual-energy X-ray absorptiometry scan without any risk factors is discouraged. Treatment options are recommended based on risk stratification. CONCLUSION: Guidance is provided to all physicians across the country who are involved in the care of patients with osteoporosis and fragility fractures.