Risk Of Major Osteoporotic Fracture Research Articles

Risk Factors for Ten-Year Risk of Osteoporosis in Type 2 DM Patients Attending Tikur Anbessa Specialized Hospital Diabetic Center Cross-sectional Study

<i>Background</i>: Type 2 diabetes mellitus (T2DM) is a major contributing factor to osteoporotic fractures via different mechanisms. This study assessed the ten-year risk of osteoporosis and associated factors for osteoporotic fractures in T2DM patients. <i>Methods</i>: Data from 175 type diabetes mellites (T2DM) patients over 40 years attending a diabetes clinic at Tikur Anbessa Specialized Hospital (TASH) were collected. Demographic information, diabetic complications, blood sugar levels, and other medical illnesses were collected by a structured questionnaire and from an electronic medical record system. The 10-year fracture risk assessment (FRAX) tool was used without bone mineral density (BMD) measurement. multivariate logistic regression was used to analyze factors associated with fragility fractures. <i>Results</i>: Half the participants were female, with a median age of 60. Most were married, well-educated, and urban residents. The median duration of diabetes was 11 years. The median FRAX score indicated a moderate 10-year risk of hip fracture (≥3%) and a high risk of major osteoporotic fracture (≥20%). Overall, 30.9% of patients had a high 10-year risk of osteoporotic fracture. The majority (78.3%) had macrovascular complications, with neuropathy, retinopathy, and nephropathy being the common ones. Higher FBS, higher HbA1c, and the presence of macrovascular complications were significantly associated with a higher risk of fractures. <i>Conclusion</i>: This study found a high prevalence (30.9%) of a 10-year risk of osteoporotic fractures in T2 DM patients. Poor glycemic control (higher HbA1c and FBS) and the presence of macrovascular complications were significantly associated with an increased 10-year osteoporotic fracture risk.

Predictive role of FRAX© for postoperative proximal junctional kyphosis with vertebral fracture after adult spinal deformity surgery.

To identify risk factors, including FRAX (a tool for assessing osteoporosis) scores, for development of proximal junctional kyphosis (PJK), defined as Type 2 in the Yagi-Boachie classification (bone failure), with vertebral fracture (VF) after surgery for symptomatic adult spinal deformity. This was a retrospective, single institution study of 127 adults who had undergone corrective long spinal fusion of six or more spinal segments for spinal deformity and been followed up for at least 2years. The main outcome was postoperative development of PJK with VF. Possible predictors of this outcome studied included age at surgery, BMI, selected radiographic measurements, bone mineral density, and 10-year probability of major osteoporotic fracture (MOF) as determined by FRAX. We also analyzed use of medications for osteoporosis. Associations between the selected variables and PJK with VF were assessed by the Mann-Whitney, Fishers exact, and Wilcoxon signed-rank tests, and Kaplan-Meier analysis, as indicated. Forty patients (31.5%) developed PJK with VF postoperatively,73% of them within 6months of surgery. Statistical analysis of the selected variables found that only a preoperative estimate by FRAX of a > 15% risk of MOF within 10years, pelvic tilt > 30° at first standing postoperatively and lower instrumented level (fusion terminating at the pelvis) were significantly associated with development of PJK with VF. Preoperative assessment of severity of osteoporosis using FRAX provides an accurate estimate of risk of postoperative PJK with VF after surgery for adult spinal deformity.

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

ABSTRACT 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.

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

ABSTRACT 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 (β = -0.15, 95% CI: −0.24, −0.05), lumbar 2 BMD (β = -0.15, 95% CI: −0.24, −0.05), lumbar 3 BMD (β = -1.35, 95% CI: −0.23, −0.02), lumbar 4 BMD (β = -0.11, 95% CI: −0.30, −0.10), femur neck BMD (β = -0.11, 95% CI: −0.18, −0.05) and Ward’s triangle BMD (β = -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 (β = 0.33) and hip fractures (β = 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.

The efficacy of nutritional screening indexes in predicting the incidence of osteosarcopenia and major osteoporotic fracture in the elderly.

The effect of nutritional status on osteosarcopenia (OS) and major osteoporotic fracture (MOF) among the elderly is still unclear. So we aimed to compare the efficacy of the Mini-Nutrition Assessment-Short Form (MNA-sf), the Geriatric Nutritional Risk Index (GNRI) and Controlling Nutritional Status (CONUT) for predicting OS and MOF among the elderly. A total of 409 participants were enrolled in this prospective study. Blood biochemical indexes, nutritional status, and bone- and muscle-related examinations were assessed at initial visit to the outpatient. Participants were divided into 4 groups: (1) control; (2) osteopenia/osteoporosis; (3) sarcopenia; (4) osteosarcopenia, and then followed for 5years, recording the occurrence time of MOF. The frequency values of osteopenia/osteoporosis, sarcopenia, and OS, at baseline, were respectively 13.4, 16.1, and 12% among the study samples. Correlation analysis showed that nutritional status scores were associated with body mass index, handgrip strength, albumin, bone mineral density, and physical functions. According to multivariate models, poor nutritional status was significantly associated with a higher risk of OS and MOF (P<0.05). Survival analysis showed that the MOF rate in malnutrition group was significantly higher than normal nutrition group (P<0.05). The receiver operator characteristic curve shows that the value of MNA-sf to diagnose OS and MOF is greater (P<0.05). The poor nutritional status was associated with a higher risk of both OS and MOF. MNA-sf showed a superior diagnostic power for OS and MOF among the elderly. Early nutrition assessments and interventions may be key strategies to prevent OS and fractures.

TBS correlates with bone density and microstructure at trabecular and cortical bone evaluated by HR-pQCT.

Trabecular bone score (TBS) estimates bone microstructure, which is directly measured by high-resolution peripheral quantitative computed tomography (HRpQCT). We evaluated the correlation between these methods and TBS influence on fracture risk assessed by FRAX. We evaluated 129 individuals (82 women, 43 postmenopausal) 20 to 82.3 years without prevalent clinical or non-clinical morphometric vertebral fractures, using DXA (spine and hip), HR-pQCT at distal radius (R) and tibia (T) and TBS which classifies bone microarchitecture as normal (TBS ≥ 1.350), partially degraded (1.200 < TBS < 1.350), or degraded (TBS ≤ 1.200). Spine and hip BMD and HR-pQCT parameters at cortical bone: area (T), density (R,T) thickness (T) and trabecular bone: density (R,T), number (T) and thickness (R) were significantly better in the 78 individuals with normal TBS (group 1) versus the 51 classified as partially degraded (n = 42) or degraded microarchitecture (n = 9) altogether (group 2). TBS values correlated with age (r = -0.55), positively with spine and hip BMD and all cortical and trabecular bone density and microstructure parameters evaluated, p < 0.05 all tests. Binary logistic regression defined age (p = 0.008) and cortical thickness (p = 0.018) as main influences on TBS, while ANCOVA demonstrated that HR-pQCT data corrected for age were not different between TBS groups 1 and 2. TBS adjustment increased FRAX risk for major osteoporotic fractures and hip fractures. We describe significant association between TBS and both trabecular and cortical bone parameters measured by HR-pQCT, consistent with TBS influence on fracture risk estimation by FRAX, including hip fractures, where cortical bone predominates.

P164 Fracture risk in axial spondyloarthritis: a retrospective analysis of the use of the Fracture Risk Assessment Tool in a cohort of affected patients

Abstract Background/Aims Fractures are common in axial spondyloarthritis (axSpA) patients. The FRAX (Fracture Risk Assessment Tool) score is a validated tool for the assessment of fracture risk. Unlike axSpA, rheumatoid arthritis (RA) is counted as a risk factor in FRAX. The primary aim was to calculate a FRAX score in a cohort of axSpA patients. In addition, a second FRAX score was determined by ticking the “RA risk” as positive on the second assessment. Methods Data were examined on a cohort of axSpA patients attending the St James’s Hospital Spondylitis service. Bone mineral density was assessed at the neck of femur on the patient’s dual x-ray absorptiometry (DXA). This, plus the individual patient’s risk factors, were added to the FRAX score calculator. The analysis was then repeated with the RA risk box ticked as positive. The effect of such an adjustment (taking account of their diagnosis of axSpA) on the fracture risk status of these patients was made to assess if this resulted in an additional number of patients within the cohort being at risk of fracture. A patient with a 10-year hip fracture risk of &amp;gt; 3% or 10-year major osteoporotic fracture risk of &amp;gt; 20% is high risk. Results Table 1 summarises the characteristics of the cohort. All (100%) of the patients met ASAS axSpA criteria and 85% met Modified New York (mNY) criteria for ankylosing spondylitis. Five patients had known osteoporosis and an additional 9 patients were classified as being at increased fracture risk using the FRAX Tool. A further 7 patients could be classified as being at increased fracture risk when the FRAX was adjusted for the axSpA diagnosis, by ticking the RA risk box as positive. Conclusion Fracture risk is a significant issue in patients with axSpA; however, this risk is frequently under-recognised. The use of the FRAX score improves the detection of those at fracture risk, and its use should be strongly encouraged in all rheumatology clinics managing axSpA patients. When the same weighting is given to axSpA as RA, there is a further increase in the identification of patients at risk of fractures. Disclosure P. Mulkerrin: None. F. O'Shea: None. G. Fitzgerald: None.

Osteoporosis in Parkinson's disease and the role of lean body mass: a cross-sectional study in a Brazilian tertiary center.

Parkinson's disease (PD) is the second most common neurodegenerative illness and has the highest increase rate in recent years. There is growing evidence to suggest that PD is linked to higher osteoporosis rates and risk of fractures. This study aims to estimate the prevalence and factors associated with osteoporosis as defined by the National Osteoporosis Foundation (NOF) and World Health Organization in patients with mild to moderate PD. We performed a cross-sectional study at a tertiary public hospital in Fortaleza, Brazil, dating from May 2021 until April 2022. The study sample was comprised of patients with mild to moderate PD who were at least 40 years old and who had the ability to walk and stand unassisted. Bone Mineral Density (BMD) of both the hip (neck of the femur) and the lumbar spine were obtained via properly calibrated Dual Energy X-ray Absorptiometry (DXA) scanning. The FRAX (Fracture Risk Assessment Tool) score was used to determine a person's 10-year risk of major osteoporotic fracture. The Revised European Working Group on Sarcopenia in Older People (EWGSOP 2) was used as a basis to confirm a sarcopenia diagnosis with the following parameters: low muscle strength gauged by handgrip strength and low muscle quantity by DXA. Physical performance was carefully evaluated by using the Short Physical Performance Battery test. Osteoporosis and osteopenia were diagnosed following the NOF guidelines and WHO recommendations. We evaluated 107 patients in total, of whom 45 (42%) were women. The group's mean age was 68 ± 9 years, and the mean disease time span was 9.9 ± 6.0 years and mean motor UPDRS was 43 ± 15. We found that 42.1% and 34.6% of the sample had osteopenia and osteoporosis following NOF criteria, respectively, and 43% and 33.6% following the WHO recommendations. Lower lean appendicular mass was associated to osteopenia and osteoporosis in multinomial logistic regression analysis in both diagnostic criteria. Our findings provide additional evidence for the protective role of lean mass against osteoporosis in patients with PD.

Ten-year fracture risk in Japanese patients with myasthenia gravis: A comprehensive assessment using the fracture risk assessment tool

BackgroundMyasthenia gravis (MG) is an immune disorder that causes muscle weakness with an increasing prevalence, particularly among the elderly in Japan. Glucocorticoid treatment for MG is problematic for bone health because of reduced bone density and increased fracture risk. The fracture risk assessment tool (FRAX®) can estimate fracture risk, but its applicability in patients with MG remains uncertain. MethodsA prospective cohort study was conducted on 54 patients with MG between April and July 2012. Bone mineral density (BMD) was measured, and FRAX® scores were calculated with and without BMD. We also adjusted FRAX® scores based on glucocorticoid dosage. Patients were monitored for major osteoporotic fractures (MOF) until June 2022. Statistical analyses included Kaplan–Meier curves and Cox proportional hazards models. ResultsThe study group included 12 men and 42 women with a mean age of 62 years. Higher FRAX® scores correlated with increased fracture risk, particularly in the hip and lumbar regions. The 10-year fracture-free rate was significantly lower in the high-FRAX® score group. The FRAX® score using BMD is a significant predictor of MOF risk. The hazard ratio for FRAX® scores was 1.17 (95% CI 1.10–1.26). ConclusionWe demonstrated the effectiveness of the FRAX® tool in assessing fracture risk among patients with MG. High FRAX® scores correlated with increased fracture risk, emphasizing its importance. These findings support the incorporation of FRAX® assessment into clinical management to enhance patient care and outcomes. However, the small sample size and observational nature suggest a need for further research.

Early-onset dementia and risk of hip fracture and major osteoporotic fractures.

There is limited knowledge about early-onset dementia (EOD) on fracture risk. Individuals ages 50 to 64 were identified from the National Database of Health Insurance Claims and Specific Health Checkups of Japan (2012 to 2019). The association between EOD and fractures and the association between cholinesterase inhibitors for EOD and fractures were evaluated using logistic regression analyses. We identified 13,614 EOD patients and 9,144,560 cognitively healthy individuals. The analysis revealed that EOD was associated with an increased risk of hip fractures (adjusted odds ratio, 95% confidence interval: 8.79, 7.37-10.48), vertebral fractures (1.73, 1.48-2.01), and major osteoporotic fractures (2.05, 1.83-2.30) over 3 years. The use of cholinesterase inhibitors was significantly associated with a reduction in hip fractures among EOD patients (0.28, 0.11-0.69). EOD patients have a higher risk of osteoporotic fractures than cognitively healthy individuals. The use of cholinesterase inhibitors may reduce the risk of hip fracture among EOD patients. It is unknown whether early-onset dementia (EOD) increases the risk of fractures. We identified 13,614 individuals with EOD using a nationwide administrative database. Patients with EOD have a higher risk of hip, vertebral, and major osteoporotic fractures. The use of cholinesterase inhibitors may reduce hip fracture among patients with EOD.

Geriatric nutritional risk index as a predictor for fragility fracture risk in elderly with type 2 diabetes mellitus: A 9-year ambispective longitudinal cohort study

The elderly are prone to fragility fractures, especially those suffering from type 2 diabetes mellitus (T2DM) combined with osteoporosis. Although studies have confirmed the association between GNRI and the prevalence of osteoporosis, the relationship between GNRI and fragility fracture risk and the individualized 10-year probability of osteoporotic fragility fractures estimated by FRAX remains unclear. This study aims to delve into the association between the GNRI and a fragility fracture and the 10-year probability of hip fracture (HF) and major osteoporotic fracture (MOF) evaluated by FRAX in elderly with T2DM. A total of 580 patients with T2DM aged ≥60 were recruited in the study from 2014 to 2023. This research is an ambispective longitudinal cohort study. All participants were followed up every 6 months for 9 years with a median of 3.8 years through outpatient services, medical records, and home fixed-line telephone interviews. According to the tertiles of GNRI, all subjects were divided into three groups: low-level (59.72-94.56, n=194), moderate-level (94.56-100.22, n=193), and high-level (100.22-116.45, n=193). The relationship between GNRI and a fragility fracture and the 10-year probability of HF and MOF calculated by FRAX was assessed by receiver operating characteristic (ROC) analysis, Spearman correlation analyses, restricted cubic spline (RCS) analyses, multivariable Cox regression analyses, stratified analyses, and Kaplan-Meier survival analysis. Of 580 participants, 102 experienced fragile fracture events (17.59%). ROC analysis demonstrated that the optimal GNRI cut-off value was 98.58 with a sensitivity of 75.49% and a specificity of 47.49%, respectively. Spearman partial correlation analyses revealed that GNRI was positively related to 25-hydroxy vitamin D [25-(OH) D] (r=0.165, P<0.001) and bone mineral density (BMD) [lumbar spine (LS), r=0.088, P=0.034; femoral neck (FN), r=0.167, P<0.001; total hip (TH), r=0.171, P<0.001]; negatively correlated with MOF (r=-0.105, P=0.012) and HF (r=-0.154, P<0.001). RCS analyses showed that GNRI was inversely S-shaped dose-dependent with a fragility fracture event (P<0.001) and was Z-shaped with the 10-year MOF (P=0.03) and HF (P=0.01) risk assessed by FRAX, respectively. Multivariate Cox regression analysis demonstrated that compared with high-level GNRI, moderate-level [hazard ratio (HR)=1.950; 95% confidence interval (CI)=1.076-3.535; P=0.028] and low-level (HR=2.538; 95% CI=1.378-4.672; P=0.003) had an increased risk of fragility fracture. Stratified analysis exhibited that GNRI was negatively correlated with the risk of fragility fracture, which the stratification factors presented in the forest plot were not confounding factors and did not affect the prediction effect of GNRI on the fragility fracture events in this overall cohort population (P for interaction>0.05), despite elderly females aged ≥70, with body mass index (BMI) ≥24, hypertension, and with or without anemia (all P<0.05). Kaplan-Meier survival analysis identified that the lower-level GNRI group had a higher cumulative incidence of fragility fractures (log-rank, all P<0.001). This study confirms for the first time that GNRI is negatively related to a fragility fracture and the 10-year probability of osteoporotic fragility fractures assessed by FRAX in an inverse S-shaped and Z-shaped dose-dependent pattern in elderly with T2DM, respectively. GNRI may serve as a valuable predictor for fragility fracture risk in elderly with T2DM. Therefore, in routine clinical practice, paying attention to the nutritional status of the elderly with T2DM and giving appropriate dietary guidance may help prevent a fragility fracture event.

The role of the primary care physician in identifying patients at high risk of fractures in real clinical practice

BACKGROUND: The FRAX calculator is an accessible method for identifying patients at high risk of fracture. However, data on its practical use in primary health care settings are limited.&#x0D; AIM: To evaluate the correctness of calculating the 10-year fracture probability according to FRAX by primary care physicians and then analyze the impact of the results on patient routing.&#x0D; MATERIALS AND METHODS: The base of the study was the city polyclinic No. 25 of the Nevsky district of Saint Petersburg. The study included men and women aged 40 years and older.&#x0D; During 2017–2020, polyclinic doctors assessed the risk of fracture using the FRAX calculator for 11,013 people. A group of patients with significant differences (30% or more) in the obtained value of the risk of major osteoporotic fractures from the average was identified. A 10-year probability of fractures was recalculated for these patients.&#x0D; RESULTS: Major osteoporotic fracture risk scores were compared before and after recalculation. In most cases of patients (83%), the risk category did not change after recalculation. In 15% of patients changed to a higher risk. In the total group (11,013 people), errors in FRAX calculation led to an underestimation of high fracture risk in 41 patients (0.4%).&#x0D; CONCLUSIONS: The study showed that primary care physicians use the FRAX calculator correctly. The proportion of incorrect fracture risk calculations was low. Nevertheless, training of primary care physicians in the calculation and interpretation of the FRAX score is essential.

Decomposing and simplifying the Fracture Risk Assessment Tool-a module from the Taiwan-specific calculator.

The Fracture Risk Assessment Tool (FRAX®) is a widely utilized country-specific calculator for identifying individuals with high fracture risk; its score is calculated from 12 variables, but its formulation is not publicly disclosed. We aimed to decompose and simplify the FRAX® by utilizing a nationwide community survey database as a reference module for creating a local assessment tool for osteoporotic fracture community screening in any country. Participants (n = 16384; predominantly women (75%); mean age = 64.8years) were enrolled from the Taiwan OsteoPorosis Survey, a nationwide cross-sectional community survey collected from 2008 to 2011. We identified 11 clinical risk factors from the health questionnaires. BMD was assessed via dual-energy X-ray absorptiometry in a mobile DXA vehicle, and 10-year fracture risk scores, including major osteoporotic fracture (MOF) and hip fracture (HF) risk scores, were calculated using the FRAX®. The mean femoral neck BMD was 0.7 ± 0.1g/cm2, the T-score was -1.9 ± 1.2, the MOF was 8.9 ± 7.1%, and the HF was 3.2 ± 4.7%. Following FRAX® decomposition with multiple linear regression, the adjusted R2 values were 0.9206 for MOF and 0.9376 for HF when BMD was included and 0.9538 for MOF and 0.9554 for HF when BMD was excluded. The FRAX® demonstrated better prediction for women and younger individuals than for men and elderly individuals after sex and age stratification analysis. Excluding femoral neck BMD, age, sex, and previous fractures emerged as 3 primary clinical risk factors for simplified FRAX® according to the decision tree analysis in this study population. The adjusted R2 values for the simplified country-specific FRAX® incorporating 3 premier clinical risk factors were 0.8210 for MOF and 0.8528 for HF. After decomposition, the newly simplified module provides a straightforward formulation for estimating 10-year fracture risk, even without femoral neck BMD, making it suitable for community or clinical osteoporotic fracture risk screening.

Risk of Fracture in Patients with Myasthenia Gravis: A Nationwide Cohort Study in Korea.

Myasthenia gravis (MG) is an autoimmune disorder that affects the neuromuscular junctions, resulting in muscle weakness and fatigue. Muscle weakness, restricted mobility, and frequent use of corticosteroids in patients with MG may predispose them to a higher risk of fractures. However, studies on the impact of MG on bone health and the associated fracture risk are scarce. Utilizing claim database of the Korean National Health Insurance Service collected between 2002 and 2020, we compared the risk of major osteoporotic fracture between 23 118 patients with MG and 115 590 individuals as an age- and sex-matched control group using multivariable Cox proportional hazard models. Over a median follow-up duration of 5.58years, the MG group (mean age 53.7years; 55% women) had higher risk of major osteoporotic fracture compared to controls (incidence rate 13.59 versus 9.74 per 10 000 person-years), which remained independent of age, sex, comorbidities, drug use including anti-osteoporotic agents, and previous fracture history (adjusted hazard ratio [aHR] 1.19, p < 0.001; subdistributed HR 1.14, p < 0.001 adjusted for mortality as competing risk). Subgroup analyses showed a greater association between MG and major osteoporotic fracture risk in younger (age 50 or younger) than older individuals (aHR 1.34 vs. 1.17) and in men compared to women (aHR 1.32 vs. 1.15; p for interaction <0.05 for all). An imminent divergence of the fracture risk curve between MG and controls was observed for vertebral fracture while there was time delay for non-vertebral sites, showing site-specific association. Factors associated with higher fracture risk in patients with MG were older age, female gender, high dose glucocorticoid use (> 7.5mg/day), immunosuppressant use, and previous history of fracture. In summary, patients with MG had higher risk of major osteoporotic fracture compared to controls, which calls further preventive actions in this patient group.

Risks of incident major osteoporotic fractures following SARS-CoV-2 infection among older individuals: a population-based cohort study in Hong Kong.

Population-based epidemiological studies on post-acute phase coronavirus 2019 (COVID-19)-related fractures in older adults are lacking. This study aims to examine the risk of incident major osteoporotic fractures following SARS-CoV-2 infection among individuals aged ≥50, compared to individuals without COVID-19. It was a retrospective, propensity-score matched, population-based cohort study of COVID-19 patients and non-COVID individuals identified from the electronic database of the Hong Kong Hospital Authority from January 2020 to March 2022. The primary outcome was a composite of major osteoporotic fractures (hip, clinical vertebral, and upper limb). COVID-19 patients were 1:1 matched to controls using propensity-score according to age, sex, vaccination status, medical comorbidities and baseline medications. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models. A total of 429 459 COVID-19 patients were included, 1:1 matched to non-COVID individuals. Upon median follow-up of 11months, COVID-19 patients had higher risks of major osteoporotic fractures (5.08 vs 3.95 per 1000 persons; HR 1.22 95%CI [1.15-1.31]), hip fractures (2.71 vs 1.94; 1.33 [1.22-1.46]), clinical vertebral fractures (0.42 vs 0.31; 1.29 [1.03-1.62]), and falls (13.83 vs 10.36; 1.28 [1.23-1.33]). Subgroup analyses revealed no significant interaction. In acute (within 30days) and post-acute phases (beyond 30days) following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, we consistently observed a significant increase in fractures and falls risks. Our study demonstrated increased risk of major osteoporotic fractures after SARS-CoV-2 infection in both acute and post-acute phases in older adults, partly due to increased fall risk. Clinicians should be aware of musculoskeletal health of COVID-19 survivors.

Clinical Indicators of Bone Deterioration in Alcoholic Liver Cirrhosis and Chronic Alcohol Abuse: Looking beyond Bone Fracture Occurrence.

Although previous studies indicated that chronic alcohol abuse (CAA) and alcoholic liver cirrhosis (ALC) are associated with increased bone fragility, understanding bone fragility determinants is still modest in these individuals. We used a comprehensive individualized clinical fracture risk assessment approach (vertebral osteodensitometry, femoral osteodensitometry and geometry, and serum bone turnover biomarkers) to compare adult male patients with ALC who have not previously had femoral or vertebral fractures (n = 39), patients with CAA (without liver cirrhosis, n = 78) who have not previously had femoral or vertebral fractures and healthy age- and sex-matched controls (n = 43). Our data suggested that intertrochanteric bone mineral density was significantly lower in ALC and CAA patients than in controls. Also, the trabecular bone score was considerably lower in ALC patients compared with CAA and control individuals. The most significant inter-group differences in femoral geometry were noted on the femoral shaft. Patients with ALC and CAA have a higher 10-year risk of major osteoporotic fractures compared to the controls. Analysis of bone turnover biomarkers showed increased osteoprotegerin and beta-C-terminal telopeptide serum concentrations and decreased insulin growth factor-1 concentrations in patients with ALC compared to CAA and control groups. Our data revealed that bone alterations are present in patients with ALC and CAA even if they did not sustain a nontraumatic bone fracture, but it is also indicative that current bone-assessing clinical methods are not entirely reliable. Thus, future studies should focus on developing a reliable integrative clinical tool that can be used to accurately predict and prevent bone fracture occurrences in patients with ALC and CAA.

Real world fracture prediction of fracture risk assessment tool (FRAX), osteoporosis self-assessment tool for Asians (OSTA) and one-minute osteoporosis risk test: An 11-year longitudinal study

IntroductionFractures affect people's quality of life especially in the elders. One of the most important risk factors is osteoporosis. There are many screening tools to predict osteoporosis and fractures. We aimed to compare the predictive validity of three commonly used screening tools: fracture risk assessment tool (FRAX), osteoporosis self-assessment tool for Asians (OSTA) and one-minute osteoporosis risk test. Among them, OSTA and one-minute osteoporosis risk test were originally developed to predict osteoporosis risks and FRAX was to predict fracture risks. MethodsThis is an 11-year longitudinal study. We enrolled 708 senior people from health examinees in Taiwan in 2010. A standardized questionnaire and blood tests were provided. Annual telephone interview was conducted to assess the real fracture status. We calculated risk scores of FRAX, OSTA, and one-minute osteoporosis risk test and compared with real-world fracture records. ResultsThe mean age of the participants were 74.9 (SD 6.4). There were 356 (50.3 %) men. From 2010 to 2020, a total of 105 (14.8 %) persons suffered from fractures. Compared to people without fractures, people with fractures had higher FRAX major osteoporotic fracture risk scores (14.0 % ± 7.6 % vs.11.3 % ± 5.7 %), higher hip fracture risk scores, and higher OSTA risk (5.9 % ± 1.4 % vs. 5.3 % ± 1.3 %). Cox regression analysis showed that hazard ratios for fracture of high FRAX risk was 1.53 (95 % confidence interval (CI) 1.05–2.21), and for high OSTA risk was 1.37 (95 % CI 1.04–1.82). ConclusionsOnly OSTA and FRAX scores were satisfactory in predicting 10-year fractures.

Risk of fractures in half a million survivors of 20 cancers: a population-based matched cohort study using linked English electronic health records

A history of multiple myeloma, prostate cancer, and breast cancer has been associated with adverse bone health, but associations across a broader range of cancers are unclear. We aimed to compare the risk of any bone fracture and major osteoporotic fractures in survivors of a wide range of cancers versus cancer-free individuals. In this population-based matched cohort study, we used electronic health records from the UK Clinical Practice Research Datalink linked to hospital data. We included adults (aged ≥18 years) eligible for linkage, and we restricted the study start to Jan 2, 1998, onwards and applied administrative censoring on Jan 31, 2020. The cancer survivor group included survivors of the 20 most common cancers. Each individual with cancer was matched (age, sex, and general practice) to up to five controls (1:5) who were cancer-free. The primary outcomes were any bone fracture and any major osteoporotic fracture (pelvic, hip, wrist, spine, or proximal humeral fractures) occurring more than 1 year after index date (ie, the diagnosis date of the matched individual with cancer). We used Cox regression models, adjusted for shared risk factors, to estimate associations between cancer survivorship and bone fractures. 578 160 adults with cancer diagnosed in 1998-2020 were matched to 3 226 404 cancer-free individuals. Crude incidence rates of fractures in cancer survivors ranged between 8·39 cases (95% CI 7·45-9·46) per 1000 person-years for thyroid cancer and 21·62 cases (20·18-23·18) per 1000 person-years for multiple myeloma. Compared with cancer-free individuals, the risk of any bone fracture was increased in 15 of 20 cancers, and of major osteoporotic fractures in 17 of 20 cancers. Effect sizes varied: adjusted hazard ratios (HRs) were largest for multiple myeloma (1·94, 95% CI 1·77-2·13) and prostate cancer (1·43, 1·39-1·47); HRs in the range 1·20-1·50 were seen for stomach, liver, pancreas, lung, breast, kidney, and CNS cancers; smaller associations (HR <1·20) were observed for malignant melanoma, non-Hodgkin lymphoma, leukaemia, and oesophageal, colorectal, and cervical cancers. Increased risks of major osteoporotic fracture were noted most substantially in multiple myeloma (2·25, 1·96-2·58) and CNS (2·12, 1·56-2·87), liver (1·62, 1·01-2·61), prostate (1·60, 1·53-1·67), and lung cancers (1·60, 1·44-1·77). Effect sizes tended to reduce over time since diagnosis but remained elevated for more than 5 years in several cancers, such as multiple myeloma and stomach, lung, breast, prostate, and CNS cancers. Survivors of most types of cancer were at increased risk of bone fracture for several years after cancer, with variation by cancer type. These findings can help to inform mitigation and prevention strategies. Wellcome Trust.

Rheumatoid arthritis, disease-modifying antirheumatic drugs and risk of major osteoporotic fracture: prospective data from the HUNT Study, Norway

ObjectivesRheumatoid arthritis has been associated with increased fracture risk. New treatments have improved the course of the disease substantially, but it is not clear if this influences fracture risk. We...

Probability of the 10-year Risk of Hip and Major Osteoporotic Fracture in Non-radiographic Axial Spondyloarthritis.

Fracture risk in non-radiographic spondyloarthritis is underestimated. A reliable tool such as the Fracture Risk Assessment tool (FRAX) may assess this risk probability. This study aimed to assess the fracture risk by the FRAX score in patients with nr-axSpA and to determine factors associated with high fracture risk. We conducted a retrospective study of nr-axSpA patients meeting the Assessment of SpondyloArthritis International Society (ASAS) classification criteria for spondyloarthritis. All patients had Bone Mineral Density (BMD) by dual-energy X-ray absorptiometry (DEXA). The 10- year probability of major osteoporotic fracture (MOF) and hip fracture (HF) was calculated using the Fracture Risk Assessment Tool (FRAX). Among 40 patients with nr-axSpA, 27 were women (67.5%). Their mean age was 43.7 ± 12.1 years. The mean disease duration was 3.15 ± 2.7 years. Eighteen patients (45%) had osteopenia, and 12 patients (30%) had osteoporosis. The median HF FRAX was 0% [0-1.2]. The median MOF FRAX was 0.5% [0.3-1.8]. MOF FRAX was positively correlated with age (p = 0.002), disease onset age (p = 0.006), disease duration (p = 0.024), and the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS) (p < 0.0001), and negatively correlated with daily calcium intake (p < 0.0001). HF FRAX was positively correlated with mSASSS (p < 0.0001) and negatively correlated with daily calcium intake (p = 0.005). Our study confirmed the frequency of bone loss during nr-axSpA and showed that osteoporotic risk fracture was related not only to traditional risk factors for osteoporosis but also to disease-related factors.