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Force Field X (FFX) is an open-source software package for atomic resolution modeling of genetic variants and organic crystals that leverages advanced potential energy functions and experimental data. FFX currently consists of nine modular packages with novel algorithms that include global optimization via a many-body expansion, acid–base chemistry using polarizable constant-pH molecular dynamics, estimation of free energy differences, generalized Kirkwood implicit solvent models, and many more. Applications of FFX focus on the use and development of a crystal structure prediction pipeline, biomolecular structure refinement against experimental datasets, and estimation of the thermodynamic effects of genetic variants on both proteins and nucleic acids. The use of Parallel Java and OpenMM combines to offer shared memory, message passing, and graphics processing unit parallelization for high performance simulations. Overall, the FFX platform serves as a computational microscope to study systems ranging from organic crystals to solvated biomolecular systems. [ABSTRACT FROM AUTHOR]

Background: Sarcopenia is a generalized loss of skeletal muscle mass, strength, and performance, and early identification is crucial to minimize adverse outcomes. While sarcopenia is well-studied in older populations, data on its prevalence and risk factors in young adults with juvenile idiopathic arthritis (JIA) remain limited. Objectives: The study aimed to evaluate the prevalence of sarcopenia in young adults with JIA and to identify associated risk factors. Methods: A cross-sectional single-center study was conducted at the Rheumatology Department of Communal Noncommercial Institution "Oleksandrivska Clinical Hospital", Kyiv, Ukraine, involving 70 patients between November 2020 and November 2022. Initially, 84 patients were recruited; however, 14 were excluded due to joint replacement, diabetes, or refusal to participate. Sarcopenia was diagnosed using the Find-Assess-Confirm-Severity algorithm, assessing muscle strength with a dynamometer, confirming sarcopenia using dual-energy X-ray absorptiometry, and determining severity via gait speed tests. Univariable and multivariable logistic regression was used to identify factors associated with sarcopenia and reported as odds ratios (OR) and 95% confidence intervals (95% CI). Results: Low handgrip strength, sarcopenia, and severe sarcopenia were observed in 64% (45/70), 59% (41/70), and 34% (24/70) of the patients, respectively. Men were less likely to lose muscle mass than women were (OR 0.29, 95% CI 0.10–0.89; p = 0.03). Sarcopenia was significantly predicted by disease activity according to the Disease Activity Score 28 based on erythrocytes sedimentation rate (DAS28-ESR) and clinical Juvenile Arthritis Disease Activity Score (cJADAS27) (OR 2.08, 95% CI 1.15–3.76; p = 0.01; OR 1.15, 95% CI 1.04–1.27; p = 0.007, respectively), articular and extra-articular Juvenile Arthritis Damage Index (JADI) (JADI-A OR 2.29, 95% CI 1.23–4.25; p = 0.009; JADI-E OR 3.15, 95% CI 1.36–7.29; p = 0.008, respectively), and functional capacity according to the Health Assessment Questionnaire (OR 4.14, 95% CI 1.38–12.5; p = 0.01). Conclusion: Sarcopenia in young adults with JIA was associated with disease activity (measured by DAS28-ESR and cJADAS27), articular and extra-articular damage (measured by JADI indices), and lower functional capacity. [ABSTRACT FROM AUTHOR]

Detecting individuals with low bone mineral density (BMD) before clinical fractures occur may help improve the outcomes of osteoporosis and osteopenia. Although computed tomography (CT) is useful for opportunistic BMD measurement, the modality most suitable for opportunistic screening remains unclear. In this retrospective study, we compared the diagnostic performance of low-dose chest CT (LDCT) and contrast-enhanced abdominopelvic CT (APCT) for measuring BMD at L1 level using dual-energy X-ray absorptiometry (DEXA) as a reference in individuals who underwent LDCT, APCT, and DEXA assessments on the same day. We included 512 individuals (median age: 60 years; interquartile range, 55−65 years; 307 men). Both LDCT (r = 0.706; P < 0.001) and APCT (r = 0.643; P < 0.001) exhibited strong correlation with DEXA T-scores. As T-scores decreased, the relative difference between LDCT and APCT Hounsfield unit values increased (b = − 6.456; P < 0.001). LDCT outperformed APCT in diagnosing both osteoporosis (AUC, 0.865 vs. 0.833; P = 0.035) and low BMD (AUC, 0.844 vs. 0.815; P = 0.006), which may be attributable to the greater effect of intravenous contrast media on CT scan characteristics in individuals with lower T-scores. These results may help inform the selection of imaging methods suitable for screening. [ABSTRACT FROM AUTHOR]

Bone strength depends on both bone density and quality. However, the differences in how body composition indices affect bone strength between men and women remains unclear. This study investigated the associations of various fat and lean indices with bone strength by sex. In this cross-sectional study involving 1,419 participants, bone mineral density (BMD) and body composition were measured using dual-energy X-ray absorptiometry. Bone quality was assessed using the trabecular bone score (TBS). Fat indices included total fat mass, body fat percentage, and waist circumference, while lean indices included appendicular lean mass (ALM) and hand grip strength. All fat indices demonstrated a positive association with BMD and a negative association with the TBS in both men and women. Fat indices were more strongly associated with BMD in women than in men. Furthermore, lean indices contributed more to BMD in men than in women. In women, ALM contributed more to BMD than hand grip strength, whereas in men, hand grip strength had a greater impact on BMD than ALM. Hand grip strength was also positively associated with the TBS in men. Overall, fat indices had a greater influence on BMD in women, while lean indices were more positively associated with bone strength in men. Considering different fat indices, ALM was more strongly associated with BMD in women, whereas hand grip strength played a greater role in men. Thus, maintaining both muscle mass and strength is crucial for preserving bone mass. [ABSTRACT FROM AUTHOR]

Background: Studies have shown that the clinical efficacy of TBS (Trabecular Bone Score) of DXA in hip fracture patients. This study aimed to investigate the difference of TBS in trochanteric fractures and femoral neck fractures in hip fracture patients. Methods: Data were derived from the University affiliated hospital, the participants included 249 patients aged 60 years or older who were available of TBS prescribe by DXA. 89 femoral neck fracture patients and 160 trochanteric fractures were enrolled. Spine T- score, hip T- score (neck), hip T- score (total), lowest T- score in hip, L1-L4 TBS. TBS Z-score, L1-L4 BMD(g/cm²), L1-L4 BMD T-score, L1 TBS, L1 BMD(g/cm2), L1 BMD T-score, L2 TBS, L2 BMD(g/cm2), L2 BMD T-score, L3 TBS, L3 BMD(g/cm2), L3 BMD T-score, L4 TBS, L4 BMD(g/cm2), L4 BMD T-score, lowest TBS score, highest TBS score were analyzed. Results: Demographic data (age, sex, height, weight, BMI) and T-score of hip and spine in two groups showed no significant difference. TBS in spine in two groups revealed higher TBS in femoral neck fracture groups. Conclusion: There is no difference of age, sex, and BMI in two groups. The T-score was not statistically significant in comparison of bone quality in hip fracture groups. The TBS in femoral neck fracture group is higher than trochanteric fractures. The TBS in spine can be more valuable than T-score of DXA for the proper evaluation of bone quality in the hip fracture patients. Summary: The T-score of DXA is a statistical result for bone quality. The TBS in spine of the patients is more proper and true bone mineral density than T or Z-score. The TBS can be a true representatives of bone mineral density in fragile hip fractures. [ABSTRACT FROM AUTHOR]

Background: The diabetic foot (DF) ulcer is the severe complication of type 2 diabetes mellitus (T2DM). Sarcopenia is characterized as the loss of muscle mass and strength, resulting in the increased risk of fracture and physical disability. Sarcopenia may affect the foot-ankle function in DF ulcer patients, compromise the quality of life. Objective: The aim was to clarify the effect of sarcopenia on foot-ankle function in patients with DF ulcer. Methods: In total of 108 T2DM patients with DF ulcer were enrolled. Based on the examination of muscle mass by dual energy X-ray absorptiometry (DXA) and grip strength and 5x sit-to-stand test, the DF patients were divided into sarcopenia and non-sarcopenia groups. The severity of DF ulcer was evaluated by Wagner classification. The foot-ankle function was evaluated by American Orthopaedic Foot and Ankle Society (AOFAS) Ankle-Hindfoot Score. Results: DF patients with sarcopenia showed advanced age, lower BMI, longer duration of T2DM, and more severe Wagner classification, reduced appendicular skeletal muscle mass index (ASMI), grip strength, transcutaneous oxygenpressure (TcPO2) and prolonged time of 5X sit-to-stand test. The stratified comparison analysis indicated that severity of sarcopenia and DF ulcer, reduced TcPO2, and grip strength were aggravated with the impaired foot-ankle function (P < 0.05). Multivariate Logistic analysis showed that age, TcPO2, and severe sarcopenia were risk factors deteriorating the foot-ankle function. Conclusion: The sarcopenia is a key risk factor of decreasing foot-ankle function in patients with DF ulcer. Thus, the prevention of muscle mass and strength loss could be considered as part of comprehensive therapy for DF ulcer. [ABSTRACT FROM AUTHOR]

Background & aims: Sarcopenia is common in patients with liver disease and both sarcopenia and short telomeres are associated with mortality, however their relationship in patients with liver disease remains unknown. Methods: A cohort of 16,072 adults from the National Health and Nutrition Examination Survey from 1999 to 2006 was analyzed. Liver disease was defined by aminotransferases and classified into etiology-based categories. Sarcopenia was defined by dual-energy x-ray absorptiometry. All analyses were conducted separately on each multiple imputation data set and combined via Rubin's rules. P-values for group comparisons were calculated by testing logistic regression parameter estimates. Cox proportional hazards regression was used for mortality analysis with mortality data available until 2015. Results: Sarcopenia was present in 9.5% of patients with liver disease. Age, race, income, education, physical inactivity, and certain medical comorbidities were associated with sarcopenia. Patients with liver disease and sarcopenia had significantly shorter telomeres than patients with liver disease without sarcopenia when unadjusted for age. The interaction between telomere length and sarcopenia was significantly associated with all-cause mortality. Conclusions: The implications of telomere length on all-cause mortality in patients with liver disease varied by age and sarcopenia status. Shorter telomeres appear to be more highly associated with increased mortality in older patients without sarcopenia. [ABSTRACT FROM AUTHOR]

Background Methods Results Conclusion Near‐infrared reactance spectroscopy (NIRS) has become increasingly popular in personal and professional settings now that it has been adapted to provide comprehensive body composition assessments. However, whether NIRS agrees with criterion methods remains unknown. Thus, this study aimed to determine the agreement between NIRS and DXA‐derived body composition estimates.Ninety‐seven participants completed body composition assessments using DXA, and first‐generation (NIRSG1), second‐generation (NIRSG2), and muscle‐specific NIRS (NIRSFIT) devices. On a separate day, a subset of participants (n = 63) performed maximal voluntary contractions (MVC) on a handgrip dynamometer, which were used in conjunction with total appendicular lean mass (ALM) estimates to provide ratios (MVC/total ALM or MVC/ALM of the arms only) depicting muscle quality index (MQI).Fat mass, fat‐free mass, body fat %, and ALM, from NIRSG2, but not bone mineral content (BMC), and NIRSFIT demonstrated equivalence (using equivalence tests) with DXA with R2 from 0.83 to 0.97; though BMC revealed concordance coefficients of 0.83 and an R2 of 0.88. MQI using total ALM from NIRS was not equivalent to DXA, but demonstrated low root mean squared error (0.08 kg/kg) and 95% limits of agreement (±0.21 kg/kg). Indices of visceral adipose tissue (iVAT) from NIRSG1 and NIRSG2 were significantly different (p < 0.001), but were both significantly associated with DXA VAT (NIRSG1 R2: 0.53; NIRSG2 R2: 0.62; both p < 0.001).NIRS appears to demonstrate acceptable agreement with DXA and continual improvements could make NIRS a viable alternative for comprehensive body composition assessments. [ABSTRACT FROM AUTHOR]

Background and Aim Methods Results Conclusions Sarcopenia and osteoporosis adversely impact the clinical outcomes of patients with chronic liver disease (CLD). The Japan Society of Hepatology (JSH) sarcopenia criteria utilize bioelectrical impedance analysis (BIA) for assessing muscle mass rather than dual‐energy X‐ray absorptiometry (DXA), which can simultaneously diagnose these comorbidities. We investigated the correlations and interchangeability between the appendicular skeletal muscle mass index (ASMI) values determined using BIA and DXA and evaluated the diagnostic ability of DXA for sarcopenia and osteosarcopenia in patients with CLD.This cross‐sectional study included 173 patients with CLD. Sarcopenia was defined as low ASMIBIA according to the JSH and Asian Working Group for Sarcopenia (AWGS) criteria (ASMIBIA cutoff) or low ASMIDXA according to the AWGS criteria (ASMIDXA cutoff) and low handgrip strength. For women, a provisional cutoff value was set for ASMIDXA using the ASMIBIA cutoff (ASMIDXA‐altered cutoff).We found that ASMIBIA and ASMIDXA were significantly correlated (r = 0.921; P < 0.001). The Bland–Altman plots demonstrated substantial agreement between ASMIBIA and ASMIDXA, with a mean difference of 0.0116 kg/m2. The prevalence rates of sarcopenia and osteosarcopenia diagnosed using the ASMIBIA cutoff were 26.0% and 17.3%, respectively. The kappa coefficients for the prevalence of sarcopenia and osteosarcopenia were 0.759 and 0.775 between ASMIBIA cutoff and ASMIDXA cutoff and 0.780 and 0.806 between ASMIBIA cutoff and ASMIDXA‐altered cutoff, respectively.The utilization of DXA can facilitate the comprehensive assessment and management of musculoskeletal comorbidities in patients with CLD. [ABSTRACT FROM AUTHOR]

Background: This study aimed to investigate the fracture patterns and complexity of distal humerus fractures with high-resolution computed tomography (CT) as a function of Dual-Energy X-ray absorptiometry (DXA)-derived bone marrow density (BMD) measurements in an elderly patient cohort. Methods: A retrospective chart review was conducted on patient data collected at a Level I trauma center between January 2007 and January 2022. Inclusion criteria comprised patients aged ≥40 years with a confirmed distal humerus fracture as demonstrated by CT. Additionally, patients were included if they underwent DXA. Patient demographics and detailed information regarding the surgical treatment and trauma mechanism were retrieved from the institutional databank. Fractures were classified as either 'low-plane' distal humeral fractures or 'non-low-plane' distal humerus fractures. Furthermore, the fracture patterns were classified according to established classification systems. Intra- and postoperative complication and revision rates were analyzed. Results: A total of 41 patients (30 women; mean age 74 ± 13 years) were enrolled. Low-energy trauma was sustained by 68% of the patients. The remaining 32% of the fractures involved medium-energy trauma. A total of 62% of the patients underwent primary osteosynthesis, while 30% of patients were initially treated with an external fixator. ORIF was performed in 89% of cases and, in the majority, double-plate osteosynthesis was used (76%). An olecranon osteotomy was performed in 30% of cases. A total of 5% of cases received total elbow arthroplasty, and 10% of cases were treated conservatively. A total of 61% of patients had osteoporosis, 24% of patients had osteopenia, and 15% of patients had a normal BMD with an overall mean T-score of −2.4. Most of the fractures were complex (including 61% Type C fractures). A total of 66% of cases were considered as 'low-plane' fractures. Postoperative complications occurred in 11% of patients (64% of cases among 'low-plane' fractures). Revision surgery was required in 20% of cases. Conclusions: The consecutive series of patients showed a high incidence of 'low-plane' fractures. However, no statistical significance was found between the BMD and fracture complexity. The very distal 'low-plane' fractures showed a high complication rate, which was aggravated by osteoporotic bone conditions. These findings highlight the need for future research with larger patient samples to better understand the relationship between the BMD, fracture complexity, and outcomes in patients with 'low-plane' fractures in order to reduce complications and improve clinical outcomes. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to develop machine learning methods to estimate bone mineral density and detect osteopenia/osteoporosis from conventional lumbar MRI (T1-weighted and T2-weighted images) and planar radiography in combination with clinical data and imaging parameters of the acquisition protocol. Methods: A database of 429 patients subjected to lumbar MRI, radiographs and dual-energy x-ray absorptiometry within 6 months was created from an institutional database. Several machine learning models were trained and tested (373 patients for training, 86 for testing) with the following objectives: (1) direct estimation of the vertebral bone mineral density; (2) classification of T-score lower than − 1 or (3) lower than − 2.5. The models took as inputs either the images or radiomics features derived from them, alone or in combination with metadata (age, sex, body size, vertebral level, parameters of the imaging protocol). Results: The best-performing models achieved mean absolute errors of 0.15–0.16 g/cm2 for the direct estimation of bone mineral density, and areas under the receiver operating characteristic curve of 0.82 (MRIs) − 0.80 (radiographs) for the classification of T-scores lower than − 1, and 0.80 (MRIs) − 0.65 (radiographs) for T-scores lower than − 2.5. Conclusions: The models showed good discriminative performances in detecting cases of low bone mineral density, and more limited capabilities for the direct estimation of its value. Being based on routine imaging and readily available data, such models are promising tools to retrospectively analyse existing datasets as well as for the opportunistic investigation of bone disorders. [ABSTRACT FROM AUTHOR]

It is unclear whether blood concentrations of copper (Cu), magnesium (Mg), and calcium (Ca) influence skeletal muscle mass and strength in children. We aimed to explore the associations between plasma Cu, Mg, and Ca and skeletal muscle indicators in Chinese children. A total of 452 children aged 6 to 9 years old were recruited for this cross-sectional study. Whole body lean soft tissue mass (WLSTM), trunk lean soft tissue mass (TLSTM), and appendicular skeletal muscle mass (ASMM) were measured using dual-energy X-ray absorptiometry. Parameters of these indicators divided by Height2 (Ht2) and Weight (Wt) at the corresponding sites were calculated. Handgrip strength was also measured. Parameters of skeletal muscle indicators and handgrip strength that were below the sex-specific 20th percentile were considered low levels. Plasma concentrations of Cu, Mg, and Ca were measured using ICP-MS. After adjusting for several potential covariates, among the total subjects, for every one standard deviation increase in Cu concentrations, there was a 0.939% decrease in WLSTM/Wt, a 0.415% decrease in TLSTM/Wt, and a 0.47% decrease in ASMM/Wt. For every one standard deviation increase in Cu concentrations, there was a higher odd (OR: 1.36, 95%CI 1.06, 1.75) of low WLSTM/Wt, TLSTM/Wt (OR: 1.33, 95%CI 1.03, 1.71), ASMM/Ht2 (OR: 1.32, 95%CI 1.02, 1.69), as well as ASMM/Wt (OR: 1.56, 95%CI 1.23, 1.99). No significant associations were found between Mg, Ca, and most skeletal muscle indicators. Higher plasma Cu concentrations were adversely associated with skeletal muscle indicators at multiple sites in Chinese children. [ABSTRACT FROM AUTHOR]

Poor bone quality is a critical factor associated with an increased risk of complications after total hip arthroplasty (THA). However, no consistent recommendations have yet been established for assessing indicators of bone quality preoperatively. Thus, it remains unclear which preoperatively available and readily accessible parameters are most closely associated with femoral bone quality. Here, we obtained femoral neck specimens from 50 patients undergoing THA. Preoperative Dual-energy X-ray absorptiometry (DXA) scans, pelvic radiographs, and laboratory parameters were analyzed. In the obtained specimens, bone microstructure was assessed using micro-CT and histomorphometry. Additionally, matrix mineralization and osteocyte lacunar morphology were evaluated using quantitative backscattered electron imaging. Our analysis revealed that DXA-derived T-scores correlated with trabecular microstructure. Furthermore, radiographic indices and body mass index correlated differentially with aspects of bone quality in women and men. Contrary to previous observations, no correlation was found between serum vitamin D levels and osteoid indices, nor between clinical parameters and matrix mineralization. Age was strongly associated with the number of mineralized osteocyte lacunae, a factor that appeared to be independent of sex. Taken together, our study demonstrates that no single preoperatively available parameter exhibits a strong and consistent association with femoral bone quality. However, DXA remains a reliable preoperative measure for determining the trabecular microstructure of the femoral neck. In clinical practice, surgeons should adopt an individualized approach to preoperative assessments by considering age, sex, BMI, and radiographic indices to enhance their insight into femoral bone quality, particularly when DXA is unavailable. [ABSTRACT FROM AUTHOR]

Fibroblast Growth Factor (FGF) receptor signalling is important for skeletal development. The FGF19 subfamily which includes FGF19 and FGF21 are involved in bone metabolism, although their effects on bone mineral density (BMD) and bone strength remain unclear. To further characterise the influence of these two factors on the skeleton, we studied the association between circulating concentrations of FGF19 and 21 with BMD and parameters of hip geometry and strength in post-menopausal osteoporosis (PMO). The study cohort consisted of 374 women aged (mean [SD]) 68.7[12.3] years with PMO. FGF19 and FGF21 were measured in serum by ELISA. BMD was measured at the lumbar spine (LS), total hip (TH) and femoral neck (FN) (n = 277) by dual energy X-ray absorptiometry (DXA) and hip structural analysis (HSA) parameters (n = 263) at the narrow neck of the femur (NN), Intertrochanter (IT) and Femoral shaft (FS) were derived from DXA scans. FGF19 and 21 were not associated with prevalent fractures or BMD when corrected for covariates; age, BMI, smoking habits and alcohol intake. Log-transformed FGF 21 was negatively associated with HSA parameters including Outer Diameter (OD) (p = 0.019), Cross-sectional area (CSA) (p = 0.01), cross-sectional moment of inertia (CSMI) (p = 0.011), Section modulus (Z) (p = 0.002) and cortical thickness (Co Th) (p = 0.026) at the IT only. CSA, CSMI, Z and Co Th were significantly lower (p < 0.05) in women with FGF21 concentrations greater than the median (> 103.5 pg/ml). Our data suggest that FGF 21 may have potentially adverse effects on the skeleton. Further characterisation is needed, particularly as FGF 21 analogues or agonists may be used to treat obesity-related metabolic disorders. [ABSTRACT FROM AUTHOR]

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

The importance of osteoporosis assessment before lumbar surgery is well recognized. The MRI-based Vertebral Bone Quality (VBQ) score is introduced to evaluate bone quality; however, its diagnostic value has not been well documented. The purpose of this meta-analysis was to summarize the diagnostic value of the VBQ score for osteoporosis or osteopenia in patients undergoing lumbar surgery. We comprehensively searched electronic databases for studies exploring the diagnostic accuracy of the VBQ score for osteoporosis/osteopenia in patients with lumbar disease following the PRISMA guidelines. The quality of the included studies was assessed. The VBQ scores were compared between the groups, and the pooled sensitivity, specificity, and summary receiver operating characteristic (ROC) were calculated. Publication bias was assessed, and meta-regression was conducted. We included 17 studies with a total of 2815 patients, with a mean age of 66.4 years and a percentage of females of 72.5%. According to the QUADAS-2 tool, the quality of the included studies was relatively high. The results showed a significantly higher VBQ score in the osteoporosis/osteopenia group compared with the control group. According to the mean VBQ cutoff value of 3.02 ± 0.38 for the diagnosis of osteoporosis, the pooled sensitivity and specificity were 0.76 and 0.74, respectively, and the AUC was 0.81. According to the mean VBQ cutoff value of 2.31 ± 0.18 for the diagnosis of osteopenia, the pooled sensitivity and specificity were 0.78 and 0.58, respectively, and the AUC was 0.76. The MRI-based VBQ score could provide useful information for identifying patients with low bone mass who need further evaluation. Future prospective studies are still needed to evaluate the complementary role of the VBQ score. [ABSTRACT FROM AUTHOR]

Objective: To examine the correlation between serum insulin-like growth factor 1 (IGF-1) and osteoporosis (OP) in Parkinson's disease (PD). Methods: We retrospectively analyzed clinical data from 105 PD patients (PD group) and 78 individuals in the health examination group (HC group). We compared general clinical data and serum IGF-1 levels between the two groups. PD patients were further categorized into PD with OP (50 cases) and PD without OP (55 cases) based on dual-energy X-ray absorptiometry (DXA) results for bone density. We compared general clinical data and serum IGF-1 levels between these two subgroups. Pearson correlation coefficient analysis was conducted to assess the relationship between serum IGF-1 levels and bone density at the lumbar spine and left femoral neck. Multifactorial logistic regression analysis was performed to identify risk factors for PD with OP. Results: Serum IGF-1 levels were significantly lower in the PD group compared to the HC group (P < 0.05). Pearson correlation analysis revealed a positive association between serum IGF-1 levels and both lumbar spine and left femoral neck bone densities (r = 0.653, P < 0.001; r = 0.625, P < 0.001). Multivariate logistic regression analysis identified decreased serum IGF-1 levels, lower uric acid levels, and higher H-Y stage as risk factors for PD with OP (P < 0.05). Conclusion: Reduced levels of serum IGF-1, uric acid, and an increased H-Y stage are closely linked to osteoporosis in PD. Elevating serum levels of IGF-1 and uric acid may potentially offer therapeutic avenues for PD with osteoporosis. [ABSTRACT FROM AUTHOR]

Introduction: The role of uric acid (UA) on bone metabolism is controversially discussed. Higher UA levels have been associated with higher T-scores and a reduced incidence of fractures in postmenopausal women. However, in the context of rheumatoid arthritis (RA), the role of UA remains unclear. This pilot study aimed to investigate the association of UA levels with bone mineral density in RA female and male patients. Methods: This pilot study analyzed patients with RA to explore preliminary associations. We utilized data from the Rh-GIOP cohort, a prospective monocentric observational study focusing on bone health in chronic rheumatic diseases. To assess the association between UA levels and the lowest T-scores measured at the lumbar spine, hip, or femur, we used linear regression with adjustment for various confounders. An interaction term was included to evaluate differential associations in pre- and postmenopausal women. Results: Data on dual X-ray absorptiometry (DXA) measurements and serum UA levels were analyzed in a total of 206 patients. Among the 167 women 16 were premenopausal (age 40 ± 8 years) and 149 postmenopausal (age 65 ± 10 years). As expected, postmenopausal had lower T-scores than premenopausal patients (-1.53 ± 1.01 versus − 0.41 ± 1.29, respectively). No association of UA levels with T-scores was found when analyzing the whole cohort (Slope β: -0.04; p = 0.45). However, a significant negative correlation of UA with T-scores in premenopausal (Slope β: -0.98; p = 0.014), but not postmenopausal (Slope β: -0.04; p > 0.05) women was found. Conclusion: Uric acid appears to be negatively associated with bone mineral density in premenopausal but not in postmenopausal women with RA. Thus, the impact of UA on bone health seems to depend on the hormonal status of women. Further investigations are required to validate these results in a larger cohort of patients and to investigate the underlying mechanisms. [ABSTRACT FROM AUTHOR]

Purpose: To report osteoporosis screening utilization rates among Asian American (AsA) populations in the USA. Methods: We retrospectively assessed the use of dual-energy X-ray absorptiometry (DXA) screening using the Medicare 5% Research Identifiable Files. Using Current Procedural Terminology (CPT) codes indicative of a DXA scan, we identified patients recommended for DXA screening according to the ACR-SPR-SSR Practice Parameters (females ≥ 65 years, males ≥ 70 years). Sociodemographic factors and their association with screening were evaluated using chi-square tests. Results: There were 80,439 eligible AsA beneficiaries, and 12,102 (15.1%) received osteoporosis screening. DXA rate for women was approximately four times greater than the rate for men (19.8% vs. 5.0%; p < 0.001). AsA beneficiaries in zip codes with higher mean household income (MHI) were more likely to have DXA than those in lower MHI areas (17.6% vs. 14.3%, p < 0.001). AsA beneficiaries aged < 80 were more likely to receive DXA (15.5%) than those aged ≥ 80 (14.1%, p < 0.001). There were 2,979,801 eligible non-AsA beneficiaries, and 496,957 (16.7%) received osteoporosis screening during the study period. Non-Hispanic white beneficiaries had the highest overall screening rate (17.5%), followed by North American Native (13.0%), Black (11.8%), and Hispanic (11.1%) beneficiaries. Comparing AsA to non-AsA populations, there were significantly lower DXA rates among AsA beneficiaries when controlling for years of Medicare eligibility, patient age, sex, location, and mean income (p < 0.001). Conclusion: We found lower than expected DXA screening rates for AsA patients. A better understanding of the barriers and facilitators to AsA osteoporosis screening is needed to improve patient care. [ABSTRACT FROM AUTHOR]

Introduction: Older women are at increased risk of spinal misalignment and its associated complications. This study investigated the influence of age, grip strength, and various sagittal spinal parameters on spinal alignment. The results indicate the need for comprehensive management strategies. Methods: This cross-sectional study included 200 older women who underwent bone health evaluations at the orthopedic department of a hospital. The study participants underwent dual-energy X-ray absorptiometry, grip strength measurement, and full-length spine radiography. Clinical and radiographic parameters were analyzed through Pearson correlation and linear regression analyses. Results: Significant correlations were identified between grip strength and spinal parameters such as C7 slope and global tilt, indicating that muscle strength affects spinal alignment. Advanced age was associated with changes in sagittal spinal parameters, indicating that changes occur in body compensation over time. Furthermore, pelvic parameters such as pelvic tilt and sacral slope were significantly correlated with spinal curvature, indicating their critical roles in maintaining spinal stability. Conclusions: This study revealed the critical roles of muscle strength and pelvic alignment in the management of spinal health in older women with low bone mass. Targeted interventions for increasing muscle strength, correcting posture, and achieving hormonal balance can notably improve spinal stability and reduce the risk of associated complications. Longitudinal studies should be conducted to validate and refine the intervention strategies and to extend the study findings. [ABSTRACT FROM AUTHOR]

Background: Sarcopenia is a common condition in women with breast cancer, however still presents limitations for an effective diagnosis. This study aimed to evaluate the agreement and diagnostic accuracy of an anthropometric equation in diagnosing sarcopenia in women with breast cancer based on different constructs. Methods: Cross-sectional study carried out with women with breast cancer aged ≥ 20 years. Sarcopenia was identified according to the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was obtained by the handgrip strength test (HGS) and muscle mass (MM) by dual-energy x-ray absorptiometry (DXA) and by the anthropometric predictive equation. For the diagnosis of sarcopenia, eight constructs were proposed based on the MM assessment method (equation or DXA) and different cutoff points. Agreement analyses using Cohen's Kappa test and diagnostic performance measures were performed. The significance level for all tests was 5%. Results: A total of 122 women, with a mean age of 55.3 ± 11.4 years, were evaluated. There was a predominance of brown participants (50.8%), insufficiently active (57.4%), with diagnosis time ≤ 3 months (54.1%), and with invasive breast carcinoma (69.7%). The prevalence of sarcopenia ranged from 3.3 to 8.2%, depending on the construct used. The constructs determined from the cutoff points < 16.0 kg/< 7.58 m² and < 23.0 kg/< 7.58 m² were the ones that showed the best ability to detect sarcopenia. Conclusion: The anthropometric equation showed sufficient diagnostic capacity to be used as an alternative in identifying sarcopenia in women with breast cancer. [ABSTRACT FROM AUTHOR]

Background: SELENON-related myopathy (SELENON-RM) is a rare congenital myopathy characterized by slowly progressive axial muscle weakness, rigidity of the spine, scoliosis, and respiratory insufficiency. Laminin-a2-related muscular dystrophy (LAMA2-MD) has a similar clinical phenotype, which ranges from severe, early-onset congenital muscular dystrophy type 1A (MDC1A) to milder forms presenting as childhood- or adult-onset limb-girdle type muscular dystrophy. The first 1.5-year natural history follow-up showed that 90% of the patients had low bone quality, respiratory impairments were found in all SELENON-RM and most of the LAMA2-MD patients, and many had cardiac risk factors. However, further extensive knowledge on long-term natural history data, and clinical and functional outcome measures is needed to reach trial readiness. Therefore, we extended the natural history study with 3- and 5-year follow-up visits (Extended LAST STRONG). Methods: The Extended LAST STRONG is a long-term natural history study in Dutch-speaking patients of all ages diagnosed with genetically confirmed SELENON-RM or LAMA2-MD, starting in September 2023. Patients visit our hospital twice over a period of 2 years to complete a 5-year follow up from the initial LAST-STRONG study. At both visits, they undergo standardized neurological examination, hand-held dynamometry (age ≥ 5 years), functional measurements, muscle ultrasound, respiratory assessments (spirometry, maximal inspiratory and expiratory pressure, sniff nasal inspiratory pressure; age ≥ 5 years), Dual-energy X-ray absorptiometry (DEXA-)scan (age ≥ 2 years), X-ray of the left hand (age ≤ 17 years), lower extremity MRI (age ≥ 10 years), accelerometry for 8 days (age ≥ 2 years), and questionnaires (patient report and/or parent proxy; age ≥ 2 years). All examinations are adapted to the patient's age and functional abilities. Disease progression between all subsequent visits and relationships between outcome measures will be assessed. Discussion: This study will provide valuable insights into the 5-year natural history of patients with SELENON-RM and LAMA2-MD and contribute to further selecting relevant and sensitive to change clinical and functional outcome measures. Furthermore, this data will help optimize natural history data collection in clinical care and help develop clinical care guidelines. Trial registration: This study protocol including the patient information and consent forms has been approved by medical ethical reviewing committee ('METC Oost-Nederland'; https://www.ccmo.nl/metcs/erkende-metcs/metc-oost-nederland, file number: 2023–16401). It is registered at ClinicalTrials.gov (NCT06132750; study registration date: 2023-10-05; study first passed date: 2023-11-15). [ABSTRACT FROM AUTHOR]

Background/Objectives: Body composition (BC) affects the risk of developing metabolic dysfunction-associated steatotic liver disease (MASLD) and hypertension (HTN). Currently, dual-energy X-ray absorptiometry (DEXA) is considered the gold standard for assessing BC, even though it has some limitations, including immobility, ionizing radiation, and patient weight restrictions. The aim of the study was to evaluate the correlations of BC parameters measured by bioelectrical impedance analysis (BIA) with those measured by DEXA in patients with MASLD and HTN. Methods: Overall, 78 patients with MASLD and HTN underwent the following study procedures: compilation of an anamnesis, physical examination of a patient, laboratory tests, abdominal ultrasound, BIA, DEXA, and anthropometric measurements. Results: The agreement between BIA and DEXA in diagnosing reduced skeletal muscle mass (SMM) in patients with MASLD and HTN was moderate (kappa values were 0.440 and 0.404 in males and females, respectively). Significant strong direct correlations were found between fat mass (FM) and body fat percentage measured by BIA with corresponding measurements by DEXA (p < 0.001 for both). The area under the receiver operating characteristic curves (AUC) of SMM to body weight ratios calculated using BIA data were 0.834 and 0.929 for reduced appendicular SMM determined by DEXA in males and females with MASLD and HTN, respectively. Conclusions: In conclusion, BIA is an easy-to-use and widely available tool for assessing SMM and FM in patients with MASLD and HTN, demonstrating reliable agreement with DEXA measurement results and completely free of its limitations. [ABSTRACT FROM AUTHOR]

Background: Osteoporosis, a systemic skeletal disorder, is expected to affect 60% of women over 50. While dual-energy X-ray absorptiometry (DXA) scans are the current gold standard for diagnosis, they are typically used only after fractures occur, highlighting the need for early detection tools. Initial studies have shown panoramic radiographs (PRs) to be a potential medium, but these have methodological flaws. This study aims to address these shortcomings by developing a robust AI application for accurate osteoporosis identification in PRs. Methods: A total of 348 PRs were used for development, 58 PRs for validation, and 51 PRs for hold-out testing. Initially, the YOLOv8 object detection model was employed to predict the regions of interest. Subsequently, the predicted regions of interest were extracted from the PRs and processed by the EfficientNet classification model. Results: The model for osteoporosis detection on a PR achieved an overall sensitivity of 0.83 and an F1-score of 0.53. The area under the curve (AUC) was 0.76. The lowest detection sensitivity was for the cropped angulus region (0.66), while the highest sensitivity was for the cropped mental foramen region (0.80). Conclusion: This research presents a proof-of-concept algorithm showing the potential of deep learning to identify osteoporosis in dental radiographs. Furthermore, our thorough evaluation of existing algorithms revealed that many optimistic outcomes lack credibility when subjected to rigorous methodological scrutiny. [ABSTRACT FROM AUTHOR]

Background/Objectives: Renal function influences bone metabolism, as kidney failure can increase the risk of fractures. Denosumab is an approved osteoporosis treatment, but its efficacy in relation to renal function has not yet been studied in real-life scenarios. This study aimed to investigate the denosumab-induced change in bone mineral density (BMD) according to kidney function. Methods: A retrospective analysis was conducted at the outpatient clinic in postmenopausal women receiving denosumab (60 mg subcutaneously administered every 6 months). The glomerular filtration rate (eGFR) was measured by the 2021 CKD-EPI equation and patients were stratified for eGFR categories. BMD was measured by dual-energy X-ray absorptiometry. Results: 128 women (mean age 70.3 ± 9.4 years) were recruited. The mean denosumab treatment duration was 3.9 ± 1.4 years and all the participants had improved BMD values. In stepwise multiple regression analysis—after controlling for age, BMI, and treatment duration—the eGFR value (ß = −0.11, SE 0.04, p = 0.01) was independently associated with the lumbar spine BMD change. The same association remained when the eGFR categories were considered (ß = 3.564, SE 1.29, p = 0.007). In addition, after controlling for BMI and the duration of denosumab treatment, age (ß = −0.7915, SE 0.37, p = 0.03) and eGFR (ß = −0.3257, SE 0.1567, p = 0.04) were found to be associated with femoral neck BMD change. The association remained when considering eGFR categories (ß = 8.7339, SE 4.29, p = 0.04). Conclusions: This retrospective study suggests that eGFR is associated with denosumab efficacy in postmenopausal women treated for osteoporosis. [ABSTRACT FROM AUTHOR]

PurposeMethodsResultsConclusionAlthough fragility hip fractures (HF) in the South African (SA) population are among the lowest worldwide, the incidence of HF is expected to more than double over the next few decades. Little is known about the contributors to increased hip fracture risk, including low bone mineral density (BMD), in our unique population. In addition, the ability of the recently calibrated SA Fracture Risk Assessment Tool (FRAX) to identify high fracture risk in the SA population accurately has not been validated.A retrospective, descriptive, cohort study of SA postmenopausal women and men ≥ 50 years who presented with fragility HFs was conducted. The ability of clinical risk factors (CRFs) and BMD measured by dual-energy X-ray absorptiometry (DXA), as well as calculated FRAX probability scores, to identify the known high fracture risk in SA patients were evaluated. The SA FRAX tool was used, and a high fracture risk defined if the United States (US) fixed thresholds for major osteoporotic (MOF) and/or HF risk were exceeded (≥ 20% and ≥ 3% over 10 years respectively).A total of 163 patients were included. The most useful predictive CRFs were age and gender, recreational toxins in men, and a history of falls. Most were females (71%), who were older than males. DXA-BMD and FRAX-HF calculations best identified the known high fracture risk in the study cohort. FRAX-MOF calculations performed poorly.Fracture risk assessment tools did not identify the known high fracture risk in all of the elderly study cohort with HF. Clinicians must continue to appreciate the important role of a good clinical assessment to ensure optimal fracture risk prediction. [ABSTRACT FROM AUTHOR]

Cardiovascular disease (CVD) is a major chronic disease worldwide and its risk factors have long been investigating in epidemiological studies. Our study aims to develop a body composition-based risk score and integrate it into the Framingham Risk Score (FRS) to improve CVD prediction among well-functioning older adults. We included 1882 older adults from the Health, Aging and Body Composition (Health ABC) study to screen body composition variables obtained from the Dual-energy X-ray absorptiometry (DXA). Three models were developed and compared: the 4-DXA model, the refit FRS, and the refit FRS plus 4-DXA model. C-statistics were 0.62 (95% CI: 0.59, 0.65) for the refit FRS, 0.58 (95% CI: 0.55, 0.61) for the 4-DXA model, and 0.63 (95% CI: 0.60, 0.66) for the refit FRS plus 4-DXA model. Compared to the refit FRS, the refit FRS plus 4-DXA model slightly improved CVD outcome prediction as the discrimination slope, net reclassification index, and the integrated discrimination index were 0.053 (95% CI: 0.041, 0.066), 0.098 (95% CI = – 0.0033, 0.20) and 0.013 (95% CI: 0.0069–0.019). This study provides a model for more accurate risk stratification and draws more attention on DXA-based indices in the clinical setting. It also encourages further research in validating the developed risk score in more diverse population and in investigating a broader range of CVD risk factors. [ABSTRACT FROM AUTHOR]

Cardiovascular disease (CVD) is a major chronic disease worldwide and its risk factors have long been investigating in epidemiological studies. Our study aims to develop a body composition-based risk score and integrate it into the Framingham Risk Score (FRS) to improve CVD prediction among well-functioning older adults. We included 1882 older adults from the Health, Aging and Body Composition (Health ABC) study to screen body composition variables obtained from the Dual-energy X-ray absorptiometry (DXA). Three models were developed and compared: the 4-DXA model, the refit FRS, and the refit FRS plus 4-DXA model. C-statistics were 0.62 (95% CI: 0.59, 0.65) for the refit FRS, 0.58 (95% CI: 0.55, 0.61) for the 4-DXA model, and 0.63 (95% CI: 0.60, 0.66) for the refit FRS plus 4-DXA model. Compared to the refit FRS, the refit FRS plus 4-DXA model slightly improved CVD outcome prediction as the discrimination slope, net reclassification index, and the integrated discrimination index were 0.053 (95% CI: 0.041, 0.066), 0.098 (95% CI = – 0.0033, 0.20) and 0.013 (95% CI: 0.0069–0.019). This study provides a model for more accurate risk stratification and draws more attention on DXA-based indices in the clinical setting. It also encourages further research in validating the developed risk score in more diverse population and in investigating a broader range of CVD risk factors. [ABSTRACT FROM AUTHOR]

Epidemiological studies frequently use indices of adiposity related to mortality. However, no studies have validated prediction equations for body composition in adult cancer survivors. We aimed to develop and cross-validate prediction equations for body fat mass (BFM), lean body mass (LBM), trunk fat mass (TFM), and appendicular lean mass (ALM) in adult cancer survivors using sociodemographic, anthropometric, and laboratory test data. This study included adult cancer survivors from the Korean National Health and Nutrition Examination Survey 2008–2011 with complete data on Dual-energy X-ray absorptiometry (DXA) measurements. A total of 310 participants were randomly divided into development and cross-validation groups (5:5 ratio). Age, height, weight, waist circumference, serum creatinine levels, and lifestyle factors were included as independent variables The predictive equations were developed using a multiple linear regression and their predictive performances were primarily evaluated with R2 and Concordance Correlation Coefficient (CCC). The initial equations, which included age, height, weight, and waist circumference, showed different predictive abilities based on sex for BFM (total: R2 = 0.810, standard error of estimate [SEE] = 3.072 kg, CCC = 0.897; men: R2 = 0.848, SEE = 2.217 kg CCC = 0.855; women: R2 = 0.791, SEE = 2.194 kg, CCC = 0.840), LBM (total: R2 = 0.736, SEE = 3.321 kg, CCC = 0.838; men: R2 = 0.703, SEE = 2.450 kg, CCC = 0.774; women: R2 = 0.854, SEE = 2.234 kg, CCC = 0.902), TFM (total: R2 = 0.758, SEE = 1.932 kg, CCC = 0.844; men: R2 = 0.650, SEE = 1.745 kg, CCC = 0.794; women: R2 = 0.852, SEE = 1.504 kg, CCC = 0.890), and ALM (total: R2 = 0.775, SEE = 1.726 kg, CCC = 0.876; men: R2 = 0.805, SEE = 1.320 kg, CCC = 0.817; women: R2 = 0.726, SEE = 1.198 kg, CCC = 0.802). When additional factors, such as creatinine, smoking, alcohol consumption, and physically inactive were included in the initial equations the predictive performance of the equations were generally improved. The prediction equations for body composition derived from this study suggest a potential application in epidemiological investigations on adult cancer survivors. [ABSTRACT FROM AUTHOR]

Objective: Central/Abdominal obesity is an important health problem that is growing all over the world. Abdominal obesity has been recognized as a main risk factor for cardiovascular and metabolic events. There are various measurements ranging from anthropometric indices to imaging methods for the determination of abdominal obesity. However, anthropometric studies involving older adults are scarce in the literature. The purpose of this study is to compare the current anthropometric measures used to evaluate abdominal obesity in older adults. Material and Method: In total, 104 outpatients aged 65 years or older were enrolled in this cross-sectional study. For any reason, patients with an indication for Dual-energy-X-ray Absorptiometry (DXA) were included. Anthropometric and hemodynamic measurements were taken. DXA was used to measure body composition, especially fat ratio. Results: The mean age of patients was 74.6-6.9. The ratio of adiposity determined by DXA, which was used as reference/gold standard method, was in the range of 3.8-52.5%. Mean value of adiposity was 31.5-10.9%. When gender and anthropometric indicators were compared, body mass index (BMI), waistto-hip ratio (WHR), waist-to-height ratio (WHtR), and body adiposity index (BAI) were significant (p<0.05); conicity index (CI), a new body shape index (ABSI) and abdominal volume index (AVI) were not significant (p>0.05). The best three anthropometric indicators that estimating the fat ratio in participants were; BMI (r=0.718, p<0.05), WHtR (r=0.503, p<0.05), and AVI (r=0.480, p<0.05), respectively. Conclusion: Many advanced diagnostic methods and medical devices, can not be used in primary healthcare clinics. Therefore, practical approaches that are most compatible with advanced research are coming to the fore. In this study, we have shown that BMI is the most appropriate anthropometric measurement to detect abdominal obesity in geriatric patients. [ABSTRACT FROM AUTHOR]

The systematic review from the Croatian Medical Journal examines the relationship between bone mineral density (BMD) and chronic obstructive pulmonary disease (COPD) patients using chest CT scans. Some studies suggest a decrease in BMD in COPD patients, while others indicate that milder forms of COPD may not be strongly associated with osteopenia or osteoporosis in the spine. Factors like age, sex, BMI, and corticosteroid therapy can impact BMD values in COPD patients. The review underscores the importance of assessing BMD in COPD patients to understand fracture risks and overall bone health, particularly in relation to spine surgery and conditions like corticosteroid-induced osteoporosis. [Extracted from the article]

Objective Bone mineral density (BMD) Z-scores decrease during puberty suppression in transgender youth. Assessment of treatment impact has been based on the assumption that without intervention, BMD Z-scores remain stable. However, the natural course of BMD in this population is unknown. Design Retrospective cross-sectional study. Methods Dual-energy X-ray absorptiometry scans prior to medical intervention were included from 333 individuals assigned male at birth (AMAB) and 556 individuals assigned female at birth (AFAB) aged 12–25 years. The relationship between age and BMD Z-scores of sex assigned at birth was analysed for the lumbar spine (LS), total hip (TH), femoral neck (FN), and total-body-less-head (TBLH), adjusted for height SDS, height-adjusted lean mass Z-score, and whole body percentage fat Z-score. Results In individuals AMAB, the BMD Z-score was negatively associated with age between 12 and 22 years: LS −0.13/year (95% confidence interval, CI −0.17; −0.10); TH −0.05/year (95% CI −0.08; −0.02); FN −0.06/year (95% CI −0.10; −0.03); and TBLH −0.12/year (95% CI −0.15; −0.09). Adjusting for height-adjusted lean mass Z-score attenuated the association at the LS and TBLH and eliminated the association at the TH and FN. BMD Z-scores and age were not associated between 22 and 25 years. In individuals AFAB, BMD Z-scores were only associated with age at the TBLH (−0.08/year, 95% CI −0.12; −0.04) between age 12 and 20 years. Conclusion In individuals AMAB aged 12–22 years prior to any treatment, BMD Z-scores were inversely correlated with age. This could imply that BMD increases less in individuals AMAB than in the general population, and that changes in Z-score during puberty suppression and subsequent hormone supplementation are not necessarily due to treatment, but possibly related to lifestyle factors. [ABSTRACT FROM AUTHOR]

GPR10 and neuropeptide FF receptor 2 (NPFFR2) play important role in the regulation of food intake and energy homeostasis. Understanding the interaction between these receptors and their specific ligands, such as prolactin-releasing peptide, is essential for developing stable peptide analogs with potential for treating obesity. By breeding and characterizing double knockout (dKO) mice fed standard or high-fat diet (HFD), we provide insights into the metabolic regulation associated with the GPR10 and NPFFR2 deficiency. Both WT and dKO mice were subjected to behavioral tests and an oral glucose tolerance test. Moreover, dual-energy X-ray absorptiometry (DEXA) followed by indirect calorimetry were performed to characterize dKO mice. dKO mice of both sexes, when exposed to an HFD, showed reduced glucose tolerance, hyperinsulinemia, and insulin resistance compared with controls. Moreover, they displayed increased liver weight with worsened hepatic steatosis. Mice displayed significantly increased body weight, which was more pronounced in dKO males and caused by higher caloric intake on a standard diet, while dKO females displayed obesity characterized by increased white adipose tissue and enhanced hepatic lipid accumulation on an HFD. Moreover, dKO females exhibited anxiety-like behavior in the open field test. dKO mice on a standard diet had a lower respiratory quotient, with no significant changes in energy expenditure. These results provide insights into alterations associated with disrupted GPR10 and NPFFR2 signaling, contributing to the development of potential anti-obesity treatment. Both authors contributed equally to this work. [ABSTRACT FROM AUTHOR]

Autoimmune polyglandular syndrome 1 (APS1) is an autosomal recessive disorder due to biallelic pathogenic variants in the autoimmune regulator (AIRE) gene that manifests with chronic mucocutaneous candidiasis, primary hypoparathyroidism, and adrenal insufficiency. We report a 39-year-old woman with APS1 who developed partial lipodystrophy during adulthood. She presented with diaper rashes, oral thrush, and tetany during infancy due to candidiasis and hypoparathyroidism. During childhood, she developed hypothyroidism, primary adrenal insufficiency, and ovarian insufficiency. At age 14, she received a sibling-matched allogenic bone marrow transplant due to multiple antibiotic-refractory fungal infections. At age 35, her serum triglycerides were 914 mg/dL (10.32 mmol/L) and she had loss of subcutaneous fat from the upper and lower extremities and hips. A whole-body dual-energy x-ray absorptiometry revealed lower-extremity fat at less than the first percentile. Whole-exome sequencing on DNA extracted from saliva revealed pathogenic variants, p.Leu28Pro and p.Arg257* in AIRE but none in the known lipodystrophy genes. Phage-immunoprecipitation-sequencing revealed the presence of autoantibodies to MAGEB1, MAGEB4, and RFX6, which have been previously reported in APS1. Our case suggests that patients with APS1 may develop partial lipodystrophy due to autoantibodies against novel adipocyte-expressed proteins. A causal relationship of high levels of autoantibodies in our patient to adipose tissue–expressed ODC1, NUCKS1, or FNBP1L and lipodystrophy remains uncertain. [ABSTRACT FROM AUTHOR]

Osteoporosis (OP) is an osteometabolic disorder characterized by a lesser bone mineral density (BMD) and the disruption of bone tissue micro—architecture, resulting in a greater bone fragility and higher likelihoods of fractures. OP emerges once the bone mass declines faster than the body's capacity to replenish it, leading to a significant reduction in the strength of bone. OP impacts each and every bone throughout the body and provides no clinical signs until a fracture happens. Aging leads to the reduction in BMD, and the rate of percentage of fractures rises over time, usually causing mortality and morbidity. Numerous BMD evaluation methods are available, and they are used in a variety of settings by considering the location of the fracture. Dual-energy x-ray absorptiometry (DEXA/DXA) is recognized as the gold standard for predicting the fracture, since it is the most advanced, technologically affirmed, and also has excellent performance. According to the findings, most researchers do not endeavour the identification and the segmentation of low bone masses from DEXA images. Medical image segmentation supports in analyzing and visualizing the bone's low bone mass. The envisaged hybrid approach, that integrates GLCM for feature extraction and AlexNet for a low bone mass variation classification, provides segmented images that assist in categorizing bone health as normal, osteopenia, or osteoporosis. The developed algorithm's performance metrics, including Dice Co-efficient, Sensitivity, and Specificity, were 92.35, 90.26, and 92.42%, respectively. The Orthopedicians ascertained the efficacy of the outcomes rendered by the proposed algorithm. [ABSTRACT FROM AUTHOR]

Background: Previous studies have primarily focused on the links between fine particulate matter (PM2.5) and bone health among the general population instead of PM2.5 components and the specific population. We aimed to investigate the associations between PM2.5 components and bone health among middle-aged and elderly women. Methods: A total of 748 middle-aged and elderly women were randomly sampled from 32 streets/villages in Hubei Province. The concentrations of ambient PM2.5 and its components were extracted across various residential areas from the Tracking Air Pollution in China (TAP) dataset. Bone mineral density measurements were obtained from dual-energy X-ray absorptiometry scans of study participants. Multivariable logistic and linear models were employed to assess the relationship between PM2.5 and its components and bone loss. Results: Per interquartile range (IQR) increase in nitrate (NO3−) and ammonium (NH4+) concentrations were associated with 1.65 [95% confidence intervals (CI): 1.13, 2.30] and 1.77 (95% CI: 1.26, 2.49) times higher odds of osteoporosis, respectively. Long-term exposure to sulfate (SO42−), NO3−, and NH4+ was negatively associated with T-scores and bone mineral density in L1-L4 lumbar vertebrae. In addition, the elderly, women who have experienced menarche after the age of 14, and postmenopausal women were more susceptible to the water-soluble inorganic salts of PM2.5. Conclusion: The study emphasizes the need for comprehensive policies addressing air quality, with a specific focus on vulnerable populations such as middle-aged and elderly women. Public health interventions aimed at reducing ambient PM2.5 concentrations and minimizing exposure to its harmful components are crucial in mitigating the adverse impact on skeletal health and improving the overall well-being of communities. [ABSTRACT FROM AUTHOR]

The Trabecular Bone Score (TBS), a gray-level textural assessment derived from dual-energy X-ray absorptiometry images, serves as a validated index of trabecular bone microarchitecture. Over the past decade, significant evidence has highlighted the usefulness of TBS in primary and secondary osteoporosis, leading to its integration with the Fracture Risk Assessment Tool (FRAX) and bone mineral density (BMD) T-score adjustments. This review explores the role of TBS in fracture prediction, treatment initiation, and monitoring. Studies confirm that TBS enhances fracture risk prediction in both primary and secondary osteoporosis when combined with BMD and clinical risk factors. Evidence also suggests that including TBS alongside BMD and FRAX offers significant potential for treatment stratification, considering the overall skeletal profile, such as bone mass, bone quality, and clinical risk factors. Consequently, TBS has become a standard part of clinical care worldwide. Future enhancements hope to adjust for soft tissue thickness, broadening the applicability of TBS across diverse body types and pediatric populations. [ABSTRACT FROM AUTHOR]

Opportunistic screening uses existing imaging studies for additional diagnostic insights without imposing further burden on patients. We explore the potential of opportunistic computed tomography (CT) screening for osteoporosis, a condition affecting 500 million people globally and leading to significant health care costs and fragility fractures. Although dual-energy X-ray absorptiometry (DXA) remains the gold standard for diagnosing osteoporosis, > 50% of fractures occur in individuals not screened previously with DXA. With recent advancements in technology, CT has emerged as the most promising tool for opportunistic screening due to its wide use and the ability to provide quantitative measurements of bone attenuation, a surrogate of bone mineral density. This article discusses the technical considerations, calibration methods, and potential benefits of CT for osteoporosis screening. It also explores the role of automation, supervised and unsupervised, in streamlining the diagnostic process, improving accuracy, and potentially developing new biomarkers of bone health. The potential addition of radiomics and genomics is also highlighted, showcasing the synergy between genetic and imaging data for a more comprehensive understanding of osteoporosis pathophysiology and with it possible novel osteoporosis therapies. The future of opportunistic CT screening holds significant promise, with automation and advanced image processing ultimately enhancing patient care, reducing rates of osteoporotic fractures, and improving patient outcomes. [ABSTRACT FROM AUTHOR]

Body composition is now recognized to have a major impact on health and disease. Imaging enables its analysis in an objective and quantitative way through diverse techniques such as dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging, and ultrasonography. This review article first surveys the methodological aspects underpinning the use of these modalities to assess body composition, highlighting their strengths and limitations as well as the set of parameters that they measure and their clinical relevance. It then provides an update on the main applications of body composition imaging in current practice, with a focus on sarcopenia, obesity, lipodystrophies, cancer, and critical care. We conclude by considering the emerging role of artificial intelligence in the analysis of body composition, enabling the extraction of numerous metrics with the potential to refine prognostication and management across a number of pathologies, paving the way toward personalized medicine. [ABSTRACT FROM AUTHOR]

Dual-energy X-ray absorptiometry (DXA) and bone mineral density (BMD) pose several limitations in some patient categories, such as pregnant women and young people. This review article explores whether the innovative radiofrequency echographic multi-spectrometry (REMS) technology is beneficial for assessing the bone condition of various patient groups. Common consequences in patients with acromegalia, prostate cancer undergoing hormone therapy, osteogenesis imperfecta, anorexia nervosa, and in a peritoneal dialysis setting include decreased BMD and an increased risk of fragility fracture. DXA is currently regarded as the gold standard for BMD assessment. However, using the DXA technique has several drawbacks in a young patient who requires repeated BMD tests because it uses ionizing radiation. Because of its precision and consistency, the REMS technique may be a valuable tool to assess changes in bone condition in patients of all ages, particularly in female patients who are fertile or who are pregnant or nursing. [ABSTRACT FROM AUTHOR]

Metabolic bone diseases (MBDs), including osteoporosis, osteomalacia, and Paget's disease, represent a significant challenge in medical imaging and intervention. Interventional radiologists play a pivotal role in managing these conditions, due to the crucial role of detailed and precise imaging in diagnosing and treating MBDs. This article offers comprehensive recommendations aimed at optimizing interventional radiologic practices for patients with MBDs, highlighting the importance of using advanced imaging modalities, including dual-energy X-ray absorptiometry and magnetic resonance imaging, essential for accurate assessment of bone mineral density and architecture, guiding effective intervention strategies. We also discuss the use of minimally invasive procedures like vertebroplasty and biopsy, vital for both diagnostic and therapeutic purposes, to enhance diagnostic accuracy and therapeutic outcomes, ensuring high-quality patient management in the context of MBDs. [ABSTRACT FROM AUTHOR]

Since its introduction in 1987, dual-energy X-ray absorptiometry (DXA) has revolutionized bone assessment, becoming the gold standard for measuring bone mineral density (BMD). Its low radiation exposure and high accuracy have made it indispensable in diagnosing osteoporosis, aligning with World Health Organization criteria. However, DXA evolution extends beyond BMD measurement, with emerging tools like the Trabecular Bone Score (TBS) and the DXA-based Bone Strain Index (BSI). TBS provides insights into trabecular bone architecture, enhancing the prediction of fracture risk. Despite limitations like body mass index correlation, TBS aids in evaluating patients with conditions such as diabetes and glucocorticoid exposure. BSI, introduced in 2019, evaluates bone strength using finite element analysis, complementing BMD and TBS by assessing bone fatigue. Advancements in DXA-based tools extend to Hip Structural Analysis and three-dimensional DXA software, offering valuable insights into hip fracture risk. Moreover, DXA serves beyond bone assessment, aiding in abdominal aortic calcification assessment, enhancing cardiovascular risk stratification. In summary, the expanding capabilities of DXA promise comprehensive skeletal and cardiovascular health evaluation, contributing significantly to clinical management and prevention strategies. [ABSTRACT FROM AUTHOR]

Background/Objectives: Changes in muscle mass and bone density are common in multiple myeloma (MM) patients. Dual-energy X-ray absorptiometry (DXA) offers precise, non-invasive insights into a patient's physical condition before autologous stem cell transplantation (autoHSCT). This study examines how pre-transplant body composition impacts treatment outcomes and early complications in MM patients undergoing autoHSCT. Methods: This study is a single-center, retrospective analysis of patients with MM who were treated with first or second autoHSCT and underwent DXA pre-transplant between 11 August 2019 and 12 June 2024. Results: We conducted a study of pre-transplant body composition in 127 patients with MM. Among them, 108 (85%) qualified for first autoHSCT, while 19 (15%) qualified for a second. The median age of the patients was 64 years (range 50–73). In the Cox proportional hazards regression conducted in the group of women, Total Body %Fat was a statistically significant predictor for progression-free survival (PFS) (HR = 0.07, 95% CI = 0.01,0.6, p = 0.0157). In the Mann–Whitney U test conducted on males, Lean Mass/Height2 and Appen. Lean Height2 were statistically significant predictors of early infections after autoHSCT (Z = 1.98, p = 0.0473 and Z = 2.32, p = 0.0204, respectively). In males, Fat Mass/Height2 was a significant predictor of non-infectious toxicity related to treatment (Z = −1.98, p = 0.0476). Conclusions: In women, higher levels of adipose tissue initially appear to exert a protective effect; however, this benefit diminishes over time, with greater fat mass eventually correlating with an increased risk of disease progression. In men, muscle mass has been identified as a significant predictor of early infection risk post-autoHSCT. Furthermore, our findings indicate that an increased amount of adipose tissue in men is statistically associated with a higher risk of non-infectious treatment-related toxicity. These conclusions highlight the critical need for further investigation into the role of body composition. [ABSTRACT FROM AUTHOR]

Objectives: modulation of gut microbiota by probiotics has been proposed as a target for intervention to reduce bone mineral density (BMD) loss in the postmenopausal period. This study aims to evaluate the effect of Lacticaseibacillus (L.) paracasei LPC100 and Lactiplantibacillus (L.) plantarum LP140 on BMD in postmenopausal women in a multicenter, randomized, double-blind, placebo-controlled trial. Methods: the primary outcome was the change in T-score of the lumbar spine measured by dual-energy X-ray absorptiometry assessed after twelve-month probiotic supplementation. Secondary outcomes included changes in serological markers of inflammation and calcium–phosphate metabolism, body mass index, gastrointestinal symptoms, and satisfaction with the intervention. Results: a decrease in T-score indicating the progressive bone demineralization reached a statistically significant difference in the placebo group (from mean values of 0.06 ± 1.04 to −0.28 ± 1.12, p = 0.041) but not in the probiotic group (0.19 ± 0.99 and −0.08 ± 1.05, respectively, p = 0.125) with a p-value = 0.089 between the groups. No significant differences were found in secondary outcomes with the exception of vitamin D concentration and a significant reduction in some gastrointestinal symptoms in the probiotic group. A significant decrease in vitamin D level was observed only in the placebo group (p = 0.014). Probiotics were safe and well tolerated. Conclusions: this study suggests that the oral administration of L. paracasei LPC100 and L. plantarum LP140 may be a viable strategy to prevent BMD loss and vitamin D deficiency in postmenopausal women, but further research is necessary to confirm clinical benefits and to know the mechanism of action [ClinicalTrial.gov NCT06375668]. [ABSTRACT FROM AUTHOR]

Background: Cystic fibrosis bone disease (CFBD) is a common comorbidity in adult people with cystic fibrosis (pwCF), resulting in an increased risk of bone fractures. This study evaluated the capacity of artificial intelligence (AI)-assisted low-dose chest CT (LDCT) opportunistic screening for detecting low bone mineral density (BMD) in adult pwCF. Methods: In this retrospective single-center study, 65 adult pwCF (mean age 30.1 ± 7.5 years) underwent dual-energy X-ray absorptiometry (DXA) of the lumbar vertebrae L1 to L4 to determine BMD and corresponding z-scores and completed LDCTs of the chest within three months as part of routine clinical care. A fully automated CT-based AI algorithm measured the attenuation values (Hounsfield units [HU]) of the thoracic vertebrae Th9–Th12 and first lumbar vertebra L1. The ability of the algorithm to diagnose CFBD was assessed using receiver operating characteristic (ROC) curves. Results: HU values of Th9 to L1 and DXA-derived BMD and the corresponding z-scores of L1 to L4 showed a strong correlation (all p < 0.05). The area under the curve (AUC) for diagnosing low BMD was highest for L1 (0.796; p = 0.001) and Th11 (0.835; p < 0.001), resulting in a specificity of 84.9% at a sensitivity level of 75%. The HU threshold values for distinguishing normal from low BMD were <197 (L1) and <212 (Th11), respectively. Conclusions: Routine LDCT of the chest with the fully automated AI-guided determination of thoracic and lumbar vertebral attenuation values is a valuable tool for predicting low BMD in adult pwCF, with the best results for Th11 and L1. However, further studies are required to define clear threshold values. [ABSTRACT FROM AUTHOR]

Changes in body composition often accompany the progression of liver disease and seem to be an aggravating pathophysiological factor. Specifically, accelerated loss of skeletal muscle mass, lower muscle quality, and changes in body fat distribution have been shown to be associated with poor clinical outcomes. The aim of the present narrative review was to discuss the current status and relevance of commonly applied, advanced, non-invasive methods to quantify skeletal muscle mass, muscle fat infiltration—i.e., myosteatosis—and fat distribution. This review focuses in particular on Computed Tomography (CT), Dual-energy X-ray Absorptiometry (DXA), Bioelectrical Impedance Analysis (BIA), Magnetic Resonance Imaging (MRI), and Ultrasonography (US). We propose future directions to enhance the diagnostic and prognostic relevance of using these methods for quantitative body composition assessment in patients with cirrhosis. [ABSTRACT FROM AUTHOR]

Purpose: Over 550 loci have been associated with human pulmonary function in genome-wide association studies (GWAS); however, the causal role of most remains uncertain. Single nucleotide polymorphisms in a disintegrin and metalloprotease domain 19 (ADAM19) are consistently related to pulmonary function in GWAS. Thus, we used a mouse model to investigate the causal link between Adam19 and pulmonary function. Methods: We created an Adam19 knockout (KO) mouse model and validated the gene targeting using RNA-Seq and RT-qPCR. Mouse body composition was assessed using dual-energy X-ray absorptiometry. Mouse lung function was measured using flexiVent. Results: Contrary to prior publications, the KO was not neonatal lethal. KO mice had lower body weight and shorter tibial length than wild-type (WT) mice. Their body composition revealed lower soft weight, fat weight, and bone mineral content. Adam19 KO had decreased baseline respiratory system elastance, minute work of breathing, tissue damping, tissue elastance, and forced expiratory flow at 50% forced vital capacity but higher FEV0.1 and FVC. Adam19 KO had attenuated tissue damping and tissue elastance in response to methacholine following LPS exposure. Adam19 KO also exhibited attenuated neutrophil extravasation into the airway after LPS administration compared to WT. RNA-Seq analysis of KO and WT lungs identified several differentially expressed genes (Cd300lg, Kpna2, and Pttg1) implicated in lung biology and pathogenesis. Gene set enrichment analysis identified negative enrichment for TNF pathways. Conclusion: Our murine findings support a causal role of ADAM19, implicated in human GWAS, in regulating pulmonary function. [ABSTRACT FROM AUTHOR]

Study Design. Retrospective cross-sectional. Objectives. To determine associations between Hounsfield units (HU) within a region of interest on computed tomography (CT) scans and dual energy X-ray absorptiometry (DEXA) measurements in children and adolescents. Summary of Background Data. HU on CT scans as a proxy for bone mineral density (BMD) is widely used in adults. However, the utility of CT as a proxy for BMD have not been evaluated in children and adolescents. Materials and Methods. Patients younger than 18 years with a lumbar spine CT scan and a DEXA within 6 months of each other were identified. A region of interest was used to measure the HU at each lumbar vertebral body on midaxial cuts. Charts were reviewed for demographics, medical comorbidities, and DEXA reports. Correlation coefficients were calculated between the mean DEXA Z-score and the HU value. Patients were also stratified by Z-score (= -1.0, between -1.0 and -2.0, and =-2.0) and matched by age, sex and body mass index (BMI) to a cohort of healthy children and compared. Results. A moderate correlation between mean DEXA Z-score and mean HU on CT was found (r2=0.42, P< 0.001). After matching for age, sex and BMI, 21 patients in each group between the ages of 4 and 17 years were analyzed. The mean HU value of the control group was 231.69. When stratified by Z-score (= -1.0, between -1.0 and -2.0, and =-2.0), the mean HU values were 244.59, 216.50, and 176.54, respectively. Patients with a Z-score of =-2.0 had a significantly lower mean HU than matched controls. Conclusions. HU on lumbar CT in children and adolescents with DEXA Z-scores <-2.0, were lower when compared with healthy matched controls. This study suggests that HU on opportunistic CT scans of the spine may be used as a reasonable proxy for BMD in the pediatric population. [ABSTRACT FROM AUTHOR]

Bone quality in the pedicle region generally determines screw pullout strength, insertion torque, and vertebral body loading characteristics. Dual-energy X-ray absorptiometry (DEXA), as the gold standard for evaluating bone mineral density (BMD), cannot measure the BMD of specific parts, such as pedicle, and DEXA is limited in many ways. Recent studies have shown a correlation between the magnetic resonance imaging (MRI)-based vertebral bone quality (VBQ) score and BMD measured using DEXA or quantitative computed tomography (QCT). However, no studies have been reported on the MRI-based pedicle bone quality (PBQ) score. Moreover, few studies have investigated the relationship between MRI-based PBQ and osteoporosis. To create a new site-specific MRI-based PBQ assessment method and assess its diagnostic capacity in patients with normal BMD and osteopenia/osteoporosis. A retrospective study. A total of 156 patients underwent lumbar fusion surgery for chronic low back pain at our hospital between 2021 and 2022, with lumbar QCT and T1-weighted MRI performed before surgery. Correlation of the PBQ score with QCT BMD, and the association between the PBQ score and presence of osteopenia/osteoporosis. BMD of the lumbar was calculated as the mean BMD of the L1 and L2 vertebral bodies on the basis of asynchronous QCT measurements. The PBQ score, which is the average of the bone quality values of both pedicles on the basis of site-specific T1-weighted sagittal MRI images, was calculated by dividing the median signal intensity of the L1–L4 pedicles by the signal intensity of the cerebrospinal fluid at the L3 level. The interobserver reliability of the PBQ score was assessed using the intraclass correlation coefficient (ICC). A receiver operating characteristic curve was drawn, and the area under the curve (AUC) was calculated to assess the predictive performance of PBQ for osteoporosis. The PBQ score was compared with QCT BMD, as the gold standard, using Pearson correlation analysis. In total, 156 patients participated in this study, including 51 in the Normal BMD group and 105 in the osteopenia/osteoporosis group. The PBQ score in the osteopenia/osteoporosis group was significantly higher than that in the normal BMD group (3.19±0.55 vs 2.84±0.51, p<.001). The VBQ and PBQ scores were calculated by 2 authors and were in good agreement (intraclass correlation coefficient=0.949 and 0.929, respectively). Pearson's test showed a significant negative correlation between PBQ and QCT BMD (r=−0.4887, p<.001). The optimal cutoff PBQ score to differentiate patients with osteopenia/osteoporosis from those with normal BMD was 3.160, with a sensitivity of 66.7%, specificity of 72.5%, and AUC of 0.776. The PBQ score correlated more strongly with QCT BMD (r=−0.4887) than VBQ (r=−0.4078). In this study, we propose a novel, MRI-based pedicle-specific bone quality score. This is the first study to investigate the relationship between the PBQ score and QCT BMD. The PBQ score showed diagnostic utility, differentiating between patients with osteopenia/osteoporosis and those with normal BMD (AUC=0.776), and the PBQ score correlated more strongly with QCT BMD than VBQ. [ABSTRACT FROM AUTHOR]