Association of Trabecular Bone Score-Adjusted Fracture Risk Assessment Tool with Coronary Artery Calcification in Women

The trabecular bone score (TBS) was found to be significantly associated with moderate coronary artery calcification (CAC). The aim of this study was to further explore the association between TBS-adjusted Fracture Risk Assessment Tool (FRAX) and CAC score in women. The electronic medical record database of a regional teaching hospital in southern Taiwan yielded women who received both coronary computed tomography and bone mineral density (BMD) measurement during their general health examination. Health history, anthropomorphic measurements, laboratory results, BMD, and T-scores were obtained. TBS values were calculated from database spine dual-energy X-ray absorptiometry files. Linear regression analyses tested the association between CAC score and 10-year probability of major osteoporotic fracture (MOF) and hip fracture (HF) determined by TBS-adjusted FRAX. Of the 116 women (mean age 55.8 years) studied, 24.1% had osteoporosis. Simple linear regression showed a significant association of CAC score with an increase in MOF and HF risk as measured by TBS-adjusted FRAX. In multiple linear regression adjusted for potential confounders, CAC score remained significantly associated with TBS-adjusted FRAX for right MOF (p = 0.002), left MOF (p = 0 006), right HF (p = 0.005), and left HF (p = 0.015). In conclusion, clinicians should be vigilant to the potential increased risk of coronary events among women with increased TBS-adjusted FRAX for MOF and HF.

Selection of risk assessment methods for osteoporosis screening in postmenopausal women with low-energy fractures: A comparison of fracture risk assessment tool, digital X-ray radiogrammetry, and dual-energy X-ray absorptiometry

Objectives: Fracture liaison services are designed to identify patients needing osteoporosis treatment after a fracture. Some fracture liaison service designs involve a prescreening step, for example, fracture risk assessment tool (FRAX®). Another possible prescreening tools are bone mass density assessment in the acute setting. The aim of this study was to assess the effectiveness of prescreening tools. Methods: In the present prospective cohort study, women aged >55 years with a radius fracture were included. Patients were recruited at the emergency department after experiencing their fracture. All patients performed fracture risk assessment by fracture risk assessment tool, and bone mass density assessment by digital X-ray radiogrammetry and dual-energy X-ray absorptiometry (prescreening steps) as well as full routine evaluation at the osteoporosis unit (endpoint). The main outcome measures were sensitivity, specificity, predictive values, and area under the curve. Results: Forty-one women were recruited (mean age: 70 ± 8 years). Of these, 54% fulfilled the treatment indication criteria of osteoporosis after a full examination. Fracture risk assessment tool without bone mass density (cutoff ⩾ 15%) for prescreening patients had a high sensitivity (90%) but a low area under the curve (0.50) and specificity (16%). The highest area under the curve (0.73) was found prescreening with bone mass density assessment (dual-energy X-ray absorptiometry or digital X-ray radiogrammetry) having a sensitivity of 59%–86% and specificity of 61%–90%. Conclusion: This study, though small, raises questions regarding the effectiveness of using a prescreening step in fracture liaison services for high-risk individuals. In this cohort, FRAX® without bone mass density had a low precision, with a risk of both underestimating and overestimating patients requiring treatment. Bone mass density assessment in the acute setting could improve the precision of prescreening. Further investigations on the effectiveness and health economics of prescreening steps in fracture liaison services are needed.

Simple Self-Assessment Tool to Predict Osteoporosis in Taiwanese Men

Background: Although the self-assessment tools for predicting osteoporosis are convenient for clinicians, they are not commonly used among men. We developed the Male Osteoporosis Self-Assessment Tool for Taiwan (MOSTAi) to identify the patients at risk of osteoporosis.Methods: All the participants completed a questionnaire on the clinical risk factors for the fracture risk assessment tool. The risk index was calculated by the multivariate regression model through the item reduction method. The receiver operating characteristic (ROC) curve was used to analyze its sensitivity and specificity, and MOSTAi was developed and validated.Results: A total of 2,290 men participated in the bone mineral density (BMD) survey. We chose a model that considered two variables (age and weight). The area under the curve (AUC) of the model was 0.700. The formula for the MOSTAi index is as follows: 0.3 × (weight in kilograms) – 0.1 × (years). We chose 11 as the appropriate cut-off value for the MOSTAi index to identify the subjects at the risk of osteoporosis.Conclusions: The MOSTAi is a simple, intuitive, and country-specific tool that can predict the risk of osteoporosis in Taiwanese men. Due to different demographic characteristics, each region of the world can develop its own model to identify patients with osteoporosis more effectively.

Instrumental diagnosis of osteosarcopenia in diagrams and tables

Osteoporosis and sarcopenia are age-associated diseases of the musculoskeletal system. Osteosarcopenia, the presence of osteopenia/osteoporosis and sarcopenia. The prevalence of osteosarcopenia in older adults with failing was 37% and associated with higher rate of death. Diagnosis of osteosarcopenia consists of describing medical history of fractures, providing x-ray of the spine (if it is needed) and bone densitometry, calculation of Fracture Risk Assessment Tool (FRAX), evaluating muscle strength, mass, function. The most common exam which is used to measure bone mineral density (BMD) is dual-energy x-ray absorptiometry (DXA or DEXA). Screening using the FRAX is recommended in all postmenopausal women and mеn over 50 in order to identify individuals with high probability of fractures. It is recommended to diagnose osteoporosis in patients with fragility fracture of large bones of the skeleton. Diagnosis of sarcopenia is consist of measures for three parameters: muscle strength, muscle quantity/quality and physical performance as an indicator of severity. Muscle strength can be measured with carpal dynamometry. Muscle mass can be evaluated dual-energy X-ray absorptiometry (program «Whole body»). Muscle function can be evaluated with short physical performance battery (SPPB) tests. In this article described algorithm of diagnosis of osteosarcopenia.

Strategies for the implementation of an electronic fracture risk assessment tool in long term care: a qualitative study

Background Older adults in long-term care (LTC) homes experience high rates of fractures, which are detrimental to their quality of life. The purpose of this study is to identify and make recommendations on strategies to implementing an evidence-based Fracture Risk Clinical Assessment Protocol (CAP) in LTC. Methods Following the Behaviour Change Wheel framework, we conducted six focus group interviews with a total of 32 LTC stakeholders (e.g. LTC physicians) to identify barriers and facilitators, suggest implementation strategies, and discuss whether the identified strategies were affordable, practicable, effective, acceptable, safe, and if they promote equity (APEASE). The interviews were transcribed verbatim and analyzed using thematic content analysis. Results Themes of implementation strategies that met the APEASE criteria were minimizing any increase in workload, training on CAP usage, education for residents and families, and persuasion through stories. Other strategy themes identified were culture change, resident-centred care, physical restructuring, software features, modeling in training, education for staff, social rewards, material rewards, public benchmarking, and regulations. Conclusions To implement the Fracture Risk CAP in LTC, we recommend using implementation strategies centred around minimizing any increase in workload, training on CAP usage, providing education for residents and families, and persuading through stories. Through improving implementation of the fracture risk CAP, results from this work will improve identification and management of LTC residents at high fracture risk and could inform the implementation of guidelines for other conditions in LTC homes.

OSTEOPOROSE COMO PREDITOR DE FRATURAS DO COLO FEMORAL POR QUEDAS EM IDOSOS: REVISÃO INTEGRATIVA

Introdução: Em virtude do envelhecimento podem surgir patologias como a osteoporose que atua na redução da massa óssea, favorecendo idosos a ficarem mais suscetíveis a sofrerem quedas e possivelmente fraturas, principalmente do colo femoral. A intervenção cirúrgica precoce no pós-fratura é imprescindível, pois a demora no tempo de internação e realização das cirurgias podem aumentar as taxas de letalidade. Objetivo: Verificar se a osteoporose é um fator predisponente para fraturas do colo femoral por quedas em idosos, se o gênero pode influenciar na progressão da patologia, além das mortalidades. Metodologia: Trata-se de uma revisão integrativa da produção científica, com buscas realizadas na biblioteca virtual da saúde (BVS), com inclusão da LILACS, MEDLINE, e na Cochrane Library no período compreendido entre 2015 e 2020, sendo incluídos 8 estudos nos idiomas inglês, português e espanhol para análises. Resultados e discussão: Foram utilizados diferentes instrumentos como: densitometria óssea, Fracture Risk Assessment Tool (Frax), questionários, softwareTrabecular Bone Score (TBS), e Espectroscopia Dispersiva de raios-x (EDS) para avaliação dos indivíduos, a osteoporose foi observada na maioria dos pacientes, porém nem todos tinham conhecimento do diagnóstico, o gênero feminino prevaleceu devido a diminuição dos níveis de estrogênio. Nas fraturas, as quedas se destacaram, 66,43% necessitaram de apoio instrumental, e 11% foram à óbito dentro de um ano. Conclusão: A osteoporose pode ser considerada uma preditora de fraturas do colo femoral em idosos, principalmente em mulheres, observa-se a necessidade de mais estudos com populações específicas, que evidenciem tais episódios podendo levar a morte.

Beijing Friendship Hospital Osteoporosis Self-Assessment Tool for Elderly Male (BFH-OSTM) vs Fracture Risk Assessment Tool (FRAX) for identifying painful new osteoporotic vertebral fractures in older Chinese men: a cross-sectional study

Background To compare the validation of four tools for identifying painful new osteoporotic vertebral compression fractures (PNOVCFs) in older Chinese men: bone mineral density (BMD), Asian osteoporosis self-assessment tool (OSTA), World Health Organization fracture risk assessment tool (FRAX) (without BMD) and Beijing Friendship Hospital Osteoporosis Self-Assessment Tool (BFH-OSTM). Methods A cross sectional study was conducted from 2013 to 2019. A total of 846 men aged ≥50 were included and were divided into two groups: Fracture Group (patients with PNOVCFs underwent percutaneous vertebroplasty surgery) and Non-Fracture Group (community dwelled subjects for healthy examination). All subjects accepted a dual-energy X-ray BMD test and a structured questionnaire. The results of BMD, OSTA, FRAX and BFH-OSTM scores were assessed and receiver-operating characteristic (ROC) curves were generated to compare the validity of four tools for identifying PNOVCFs. Optimal cutoff points, sensitivity, specificity, and areas under the ROC curves (AUCs) were determined. Results There were significant differences including BMD T score (femoral neck, total hip and L1-L4), OSTA, FRAX and BFH-OSTM scores between Fracture group and Non-fracture group. Compared to BMD and OSTA, BFH-OSTM and FRAX had better predictive value, the sensitivity, specificity and AUC value are 0.841, 81.29%, 70.67% and 0.796, 74.85%, 78.52%, respectively. Compared with FRAX, the BFH-OSTM has a better AUC value. Conclusions Both BFH-OSTM and FRAX can be used to identify POVCFs, However, BFH-OSTM model may be a more simple and effective tool to identify the risk of POVCFs in Chinese elderly men.

POS0131 10-YEAR PROBABILITY OF A MAJOR OSTEOPOROTIC FRACTURES IN WOMEN WITH OSTEOARTHRITIS OF THE KNEE JOINT

Background:The relationship between osteoporosis and osteoarthritis (OA) is complex and contradictory. Some studies suggest a protective effect of OA in osteoporosis [1-2]. However, other studies show that increased bone mineral density (BMD) in OA not only does not reduce the risk of fractures, but can also increase it [3-4].Objectives:To assess the 10-year probability of osteoporotic fractures using the FRAX calculator in women with OA of the knee joint.Methods:The study included 22 women (average age 63.7±1.01 years) diagnosed with ACP of the knee joint according to the ACR criteria (1991). The Control Group included 24 conditionally healthy women without OA knee joint, with an average age of 63.6±1.37 years.The BMD (g/cm2) and the T-criterion (standard deviation, SD) of the neck of the femur and lumbar spine (LI-LIV) were evaluated by the method of two-power X-ray absorption (DXA) (apparatus «Lunar Prodigy Primo», USA). 10-year probability of major osteoporotic fractures (clinically significant fracture of the spine, distal fracture of the forearm, fracture of the proximal femur, or fracture of the shoulder) and fracture of the proximal thigh with the FRAX calculator (version 3.5 for Russian population).Results:An osteopenic syndrome in the cohort under investigation was found in 42 (91.3%) patients, of whom osteopenia in 24 (52.2%) women and osteoporosis in 18 (39.1%). A normal BMD is registered in 4 (8.7%) patients.In the group of patients with knee joint OA, only 2 (9.1%) of women had a normal BMD, 11 (50.0%) of osteoporosis, and 9 (40.9%). Osteopenic syndrome is generally found in 20 (90,9%) patients.In the control group, osteopenic syndrome has been diagnosed in 22 (91,7%) of whom: osteopenia in 13 (54.2%), osteoporosis in 9 (37.5%) patients. Two (8.3%) women had a normal BMD. There were no statistically significant differences in the structure of the osteopenic syndrome among the studied groups (p=0.961).An analysis of the 10-year probability of major osteoporotic fractures found that women with OA knee joint had the above probability of 12.3±0.91, and in the control group 14.2±1.06 (p=0.085).The 10-year probability of fracture of the proximal femur in women with OA was statistically less significant than in the control group: 1.55 (0.70;1.98) and 2.10 (1.20;2.95), (p=0.031), respectively.Conclusion:The total incidence of the osteopenic syndrome in the cohort under investigation was 91.3% (90.9% in women with OA, 91.7% in the control group). The frequency of registration of osteopenia and osteoporosis in women with OA did not differ statistically significantly from the control group. The probability of major osteoporotic fractures within 10 years was comparable in these groups. The probability of a proximal femur fracture in women with OA was statistically significant, but not clinically significant, compared to the control group.References:[1]Yamamoto Y, Turkiewicz A, Wingstrand H, et al. Fragility Fractures in Patients with Rheumatoid Arthritis and Osteoarthritis Compared with the General Population. J Rheumatol. 2015 Nov;42(11):2055-8.[2]Vala CH, Kärrholm J, Kanis JA, et al. Risk for hip fracture before and after total knee replacement in Sweden. Osteoporos Int. 2020 May;31(5):887-895.[3]Kim BY, Kim HA, Jung JY, et al. Clinical Impact of the Fracture Risk Assessment Tool on the Treatment Decision for Osteoporosis in Patients with Knee Osteoarthritis: A Multicenter Comparative Study of the Fracture Risk Assessment Tool and World Health Organization Criteria. J Clin Med. 2019 Jun 26;8(7):918.[4]Soh SE, Barker AL, Morello RT, et al. Applying the International Classification of Functioning, Disability and Health framework to determine the predictors of falls and fractures in people with osteoarthritis or at high risk of developing osteoarthritis: data from the Osteoarthritis Initiative. BMC Musculoskelet Disord. 2020 Feb 29;21(1):138.Disclosure of Interests:None declared