The association of FRAX with predictors of falls in the assessment of postmenopausal osteoporosis in Turkey: the fracture study of Turkey (FRACT study).

Although FRAX is used for fracture risk evaluation, this tool does not include balance and fall risk. The association between the predictors of falls and high FRAX scores we found in this study suggests that risk indicators for falls may add substantial value to FRAX by improving fracture risk prediction. PURPOSE: This observational, descriptive, and cross-sectional study aimed to assess the fall risk predictors and explore their association with FRAX in Turkish patients with postmenopausal osteoporosis. METHODS: Two hundred and nine (209) women with postmenopausal osteoporosis referred to the Fracture Liaison Service (FLS) at Istanbul University-Cerrahpasa were enrolled in the FRACT study (The Fracture Study of Turkey). Clinical risk factors were assessed using the FRAX tool. Tandem stance, Tandem walking, Timed up and go (TUG), and Chair stand tests were performed to assess balance and fall risk. RESULTS: Among patients with a mean age of 67.6 (± 9.7) years, 66 patients (31.6%) had osteoporosis without fractures and 143 patients (68.4%) had fragility fractures. The proportion of patients with poor performance of fall prediction tests was significantly higher in patients with a fragility fracture than those with osteoporosis alone. There was an inverse relationship between dynamic balance tests and the reported number of prior falls in the past year. FRAX score was higher in patients with impaired Tandem stance, Tandem walking, and TUG tests (p = 0.008, p = 0.035, p = 0.001, respectively). CONCLUSION: Assessment of fall risk predictors should be one of the major pillars in the physical evaluation of osteoporotic patients in the FLS setting. FRAX is a useful tool to determine the fracture risk of patients with both static and dynamic balance impairments. Combining balance assessment with FRAX may be an important step to optimize osteoporosis risk assessment.

Machine learning predicts the risk of osteoporosis in patients with breast cancer and healthy women.

OBJECTIVE: In this study, we investigated the effects of endocrine therapy and related drugs on the body composition and bone metabolism of patients with breast cancer. Additionally, using body composition-related indicators in machine learning algorithms, the risks of osteoporosis in patients with breast cancer and healthy women were predicted. METHODS: We enrolled postmenopausal patients with breast cancer who were hospitalized in a tertiary hospital and postmenopausal women undergoing health checkups in our hospital between 2019 and 2021. The basic information, body composition, bone density-related indicators, and bone metabolism-related indicators of all the study subjects were recorded. Machine learning models were constructed using cross-validation. RESULTS: Compared with a healthy population, the body composition of patients with breast cancer was low in bone mass, protein, body fat percentage, muscle, and basal metabolism, whereas total water, intracellular fluid, extracellular fluid, and waist-to-hip ratio were high. In patients with breast cancer, the bone mineral density (BMD), Z value, and T value were low and the proportion of bone loss and osteoporosis was high. BMD in patients with breast cancer was negatively correlated with age, endocrine therapy status, duration of medication, and duration of menopause, and it was positively correlated with body mass index (BMI) and basal metabolism. The parameters including body composition, age, hormone receptor status, and medication type were used for developing the machine learning model to predict osteoporosis risk in patients with breast cancer and healthy populations. The model showed a high accuracy in predicting osteoporosis, reflecting the predictive value of the model. CONCLUSIONS: Patients with breast cancer may have changed body composition and BMD. Compared with the healthy population, the main indicators of osteoporosis in patients with breast cancer were reduced nonadipose tissue, increased risk of edema, altered fat distribution, and reduced BMD. In addition to age, duration of treatment, and duration of menopause, body composition-related indicators such as BMI and basal metabolism may be considerably associated with BMD of patients with breast cancer, suggesting that BMD status can be monitored in clinical practice by focusing on changes in the aforementioned indexes, which may provide a way to prevent preclinical osteoporosis.

Spinal osteoarthritis is a risk of vertebral fractures in postmenopausal women.

Recent studies have revealed that despite high bone mineral density (BMD), osteoarthritis (OA) is a risk factor for osteoporotic fractures. However, the relationship between spinal OA and vertebral fractures has not yet been fully investigated. This longitudinal analysis used a subset of ongoing cohort study consist with Japanese postmenopausal women. The prevalence of spinal OA was determined using Kellgren-Lawrence grading method. The incidence of vertebral fractures were determined by semiquantitative analysis of spinal X-ray films. The relationship between the presence of spinal OA and incidence of vertebral fractures was evaluated using the Cox regression analysis. In total, 1480 women were followed up for 8.1 ± 6.4 years. Among them, 923 were diagnosed with spinal OA, and incident vertebral fractures were observed in 473 participants. After adjusting for confounding variables, the spinal OA (≥ grade 2) was a significant predictor of incident vertebral fractures (hazard ratio, 1.52; 95% confidence interval: 1.19-1.93, p = 0.001). Using ROC analysis, the thresholds of lumbar BMD for incident vertebral fractures were 0.952 g/cm2 for patients with spinal OA and 0.753 g/cm2 for patients without spinal OA. The presence of spinal OA is a risk factor for incident vertebral fractures despite high lumbar BMD.

Association of dietary carbohydrate and fiber ratio with postmenopausal bone mineral density and prevalence of osteoporosis: A cross-sectional study.

BACKGROUND: This study aimed to investigate the associations of carbohydrate to dietary fiber ratio with bone mineral density (BMD) and the prevalence of osteoporosis in postmenopausal women. METHODS: This cross-sectional study retrieved the data of 2829 postmenopausal women from the National Health and Nutrition Examination Survey (NHANES) database. Weighted univariable logistic regression models were used to investigate the correlations of carbohydrate, dietary fiber, or carbohydrate to fiber ratio with osteoporosis. RESULTS: Higher dietary fiber intake was correlated with decreased odds ratio of osteoporosis [odds ratio(OR) = 0.96, 95% confidence interval (CI): 0.93 to 0.99]. The odds ratio of osteoporosis in postmenopausal women was elevated as the increase of carbohydrate to fiber ratio (OR = 1.80, 95%CI: 1.10 to 2.96). Carbohydrate to fiber ratio >17.09 was related to increased odds ratio of osteoporosis (OR = 1.63, 95%CI: 1.04 to 2.56). Compared to the carbohydrate to fiber ratio ≤11.59 group, carbohydrate to fiber ratio >17.09 was associated with decreased total femur BMD (ß = -0.015, 95%CI: -0.028 to -0.001) and femur neck BMD (ß = -0.020, 95%CI: -0.033 to -0.006) in postmenopausal women. The femur neck BMD in postmenopausal women was decreased with the increase of carbohydrate to fiber ratio (ß = -0.015, 95%CI: -0.028 to -0.001). CONCLUSION: In postmenopausal women, a high carbohydrate/fiber ratio >17.09 is associated with an increased risk of osteoporosis and lower hip BMD and high fiber intake is associated with less osteoporosis and higher hip BMD.

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

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

Association of serum osteocalcin with bone microarchitecture and muscle mass in Beijing community-dwelling postmenopausal women.

BACKGROUND: Osteoporosis is a systemic skeletal disease with increasing bone fragility and prone to fracture. Osteocalcin (OC), as the most abundant non collagen in bone matrix, has been extensively used in clinic as a biochemical marker of osteogenesis. Two forms of OC were stated on circulation, including carboxylated osteocalcin (cOC) and undercarboxylated osteocalcin (ucOC). OC was not only involved in bone mineralization, but also in the regulation of muscle function. OBJECTIVE: This study explored the relationship between serum OC, cOC, ucOC levels and bone mineral density (BMD), bone microarchitecture, muscle mass and physical activity in Chinese postmenopausal women. METHOD: 216 community-dwelling postmenopausal women were randomized enrolled. All subjects completed biochemical measurements, including serum ß-isomer of C-terminal telopeptides of type I collagen (ß-CTX), N-terminal propeptide of type 1 procollagen (P1NP), alkaline phosphatase (ALP), OC, cOC and ucOC. They completed X-ray absorptiometry (DXA) scan to measure BMD, appendicular lean mass (ALM) and trabecular bone score (TBS). They completed high resolution peripheral quantitative CT (HR-pQCT) to assess peripheral bone microarchitectures. RESULTS: Serum OC, cOC and ucOC were elevated in osteoporosis postmenopausal women. In bone geometry, serum ucOC was positively related with total bone area (Tt.Ar) and trabecular area(Tb.Ar). In bone volumetric density, serum OC and ucOC were negatively associated with total volume bone mineral density (Tt.vBMD) and trabecular volume bone mineral density (Tb.vBMD). In bone microarchitecture, serum OC and ucOC were negatively correlative with Tb.N and Tb.BV/TV, and were positively correlated with Tb.Sp. Serum OC and ucOC were positively associated with Tb.1/N.SD. Serum OC was negatively related with Tb.Th. Serum ucOC was positively associated with ALM. The high level of serum OC was the risk factor of osteoporosis. ALM was the protective factor for osteoporosis. CONCLUSION: All forms of serum OC were negatively associated with BMD. Serum OC and ucOC mainly influenced microstructure of trabecular bone in peripheral skeletons. Serum ucOC participated in modulating both bone microstructure and muscle mass.

Based on HbA1c Analysis: Bone Mineral Density and Osteoporosis Risk in Postmenopausal Female with T2DM.

INTRODUCTION: This study aims to investigate association between glycosylated hemoglobin (HbA1c) with bone mineral density (BMD) and osteoporosis-risk in postmenopausal female with type 2 diabetes mellitus (T2DM). METHODOLOGY: HbA1c values, BMD of L3 vertebra and basic clinical data of 152 postmenopausal females with T2DM and 326 postmenopausal females without T2DM were retrospectively analyzed. The propensity score matching was used to match the T2DM and the non-T2DM group at a ratio of 1:1. Restricted cubic spline (RCS) analysis and piecewise linear regression were used to evaluate the relationship between HbA1c and BMD. Univariable and multivariable logistic regression were utilized to evaluate the effect of HbA1c on the risk of osteoporosis in matched diabetes population. RESULTS: After matching, the BMD (66.60 (46.58, 93.23) vs. 63.50 (36.70, 83.33), P < 0.05), HbA1c value (7.50 (6.72, 8.80) vs 5.30 (5.14, 5.50), P  <  0.05) in the T2DM group were significantly higher than that of non-T2DM group. We found a nonlinear relation between HbA1c value and BMD, which showing a U-shaped curve with the cutoff value around 7.5 % (Poverall < 0.001, Pnonliearity < 0.05). The prevalence of osteoporosis in T2DM group was similar to that in controls (64.9 % vs 73.6 %, P = 0.102). Age-adjusted HbA1c value was not risk factor of osteoporosis in postmenopausal females with T2DM. CONCLUSION: In postmenopausal females with T2DM, high BMD and similar risk of osteoporosis were confirmed; HbA1c was a contributing factor to BMD when values exceed 7.5 %. However, HbA1c does not seem to be associated with osteoporosis risk.

Management of Postmenopausal Osteoporosis by Moroccan General Practitioners: A Cross-Sectional Survey.

BACKGROUND: Despite the existence of effective treatments and prescribed therapeutic protocols, there is a lack of management of osteoporosis, resulting in increased secondary morbidity and mortality. The general practitioner (GP) is the first-line practitioner for the detection and management of osteoporosis. OBJECTIVE: This study was conducted to explore the practices, knowledge, and difficulties in postmenopausal osteoporosis management reported by GPs. METHODS: An anonymous questionnaire (19 questions) was created via Google Forms and distributed to 300 GPs via social networks (WhatsApp, Facebook, and Gmail). The survey results were automatically calculated on "Google Forms" and checked using SPSS.20 software. RESULTS: A total of 129 responses were received, representing a response rate of 43%. The majority of respondents were women (67.2%). The definition of osteoporosis was variable, with 51.6% defining it as a T-score of ≤-2.5 SD, 25.8% defining it as diffuse bone demineralization, and 12.1% defining it as a fracture after falling with low energy. Prolonged corticosteroid therapy was the most commonly indicated reason for measuring bone mineral density (BMD) (81.39%). The calcium phosphate balance was the most requested (90.1%). Vitamin D and calcium supplementation were reported by 74.41% and 54.26% of GPs, respectively. Fracture of the upper end of the femur was the main therapeutic indication (65.11%). Most GPs surveyed (73.3%) were unfamiliar with the fracture risk assessment tool (FRAX). Most of the GPs gave advice on fall prevention to their patients (83.72%), and 62.5% of GPs monitored their patients' height. Anti-osteoporosis treatment was maintained for 3 to 5 years by 44.96% of GPs. CONCLUSION: Our survey found that the practices and knowledge of GPs on osteoporosis vary widely and often deviate from the recommended standards. This highlights the need for more excellent education of GPs, due to their vital role in the management of osteoporosis.

Influencing factors of bone mass abnormalities among postmenopausal women in Tibet, China.

BACKGROUND: This study aimed to provide a reference for the prevention and treatment of abnormal bone mass in postmenopausal women by analysing the current situation and influencing factors of bone mass abnormalities in Tibet. METHODS: A total of 229 postmenopausal Tibetan women were randomly selected from six counties by a multistage cluster random sampling method. Multiple logistic regression was utilized to analyse the status and influencing factors of bone mass abnormalities in postmenopausal Tibetan women. RESULTS: Among 229 postmenopausal Tibetan women, the prevalence of osteopenia and osteoporosis was 54.6% and 9.6%, respectively. Age {odds ratio (OR) = 0.022 [95% confidence interval (CI) = 0.003 ~ 0.163]}, BMI [OR = 441.902 (20.899,9343.717)], altitude [OR = 18.818 (1.391,254.585)], and creatinine (CREA) levels [OR = 0.895 (0.825 ~ 0.971)] were significantly associated with the risk of osteoporosis. CONCLUSION: Postmenopausal Tibetan women had high rates of abnormal bone mass. Age, BMI, altitude and CREA levels were associated with osteoporosis. It is suggested that relevant departments should take targeted measures to promote health education on the prevention of osteoporosis in the general population and increase the screening of high-risk groups for osteoporosis to improve the bone health of postmenopausal Tibetan women.

Masa ósea en mujeres de edad mediana del Policlínico 19 de abril / Bone Mass in Middle-Aged Women from Policlínico 19 de Abril of Havana

Introducción: La osteoporosis es una enfermedad esquelética difusa caracterizada por una disminución generalizada de la resistencia ósea, que predispone a un mayor riesgo de fracturas por fragilidad y está reconocida como un grave problema de salud. Objetivo: Determinar la masa ósea en mujeres de edad mediana y algunos factores relacionados con ella. Métodos: Se realizó un estudio descriptivo transversal en mujeres de edad mediana del Policlínico 19 de abril. De la planilla de recolección de datos se extrajeron: edad, color de la piel, etapa climatérica, número de partos, meses de lactancia, resultados hormonales. Se realizó densitometría para determinar mujeres con hueso normal, baja masa ósea u osteopenia y osteoporosis, y se asociaron con algunos factores de riesgo. Resultados: Se estudiaron 82 mujeres. El 67,07 por ciento tuvo masa ósea normal en la columna lumbar, un 19,51 por ciento baja masa ósea u osteopenia y un 13,42 por ciento osteoporosis. En la cadera izquierda la mayoría (91,46 por ciento) presentó masa ósea normal. De las perimenopáusicas, una entre 50 y 54 años presentó baja masa ósea; en posmenopáusicas predominó la osteoporosis en el grupo de 50-54 (50 por ciento), en las de 55-59, las que tenían hueso normal y osteopenia (41,2 por ciento cada una). En las posmenopáusicas, las que tenían la piel blanca fueron las que presentaron mayor afectación de la masa ósea. A mayor tiempo de posmenopausia menor masa ósea (p= 0,031*), a niveles más elevados de hormona luteinizante (p= 0,000) y foliculoestimulante (p= 0,000), menor densidad mineral ósea en la columna lumbar y cadera izquierda; a niveles más elevados de estradiol (p= 0,000), mayor densidad mineral ósea en ambas localizaciones. Conclusiones: Se concluye que la mayoría de las mujeres de edad mediana del policlínico 19 de abril tenían hueso normal; la osteoporosis predominó en los grupos de mayor edad y el color de la piel blanca. Mayor tiempo de posmenopausia y niveles elevados de hormona luteinizante y foliculoestimulante se asociaron con mala masa ósea; niveles elevados de estradiol con mejor masa ósea(AU)

Introduction: Osteoporosis is a diffuse skeletal disease characterized by a generalized decrease in bone resistance, which predisposes patients to an increased risk of fragility fractures and is recognized as a serious health problem. Objective: To determine bone mass in middle-aged women and some factors related to it. Methods: A descriptive and cross-sectional study was carried out in middle-aged women from the Policlínico 19 de Abril. The following data were extracted from the data collection form: age, skin color, climacteric stage, number of deliveries, breastfeeding months, hormonal results. Densitometry was performed to determine women with normal bone, low bone mass or osteopenia and osteoporosis, and these were associated with some risk factors. Results: A group of 82 women were studied. Of them, 67.07percent had normal bone mass in the lumbar spine, 19.51percent had low bone mass or osteopenia, and 13.42percent ad osteoporosis. On the left hip, the majority (91.46percent) had normal bone mass. Of the perimenopausal women, one aged 50-54 years had low bone mass; among postmenopausal women, osteoporosis predominated in the 50-54 age group (50percent), as well as in those aged 55-59, those with normal bone mass and osteopenia (41.2percent for each condition). In the postmenopausal women, those with white skin were the most affected in bone mass. The longer the postmenopausal period, the lower the bone mass (p = 0.031*); the higher the levels of luteinizing hormone (p = 0.000) and the follicle stimulating hormone (p = 0.000), the lower bone mineral density on the lumbar spine and left hip; the higher the levels of estradiol (p = 0.000), the higher bone mineral density on both locations. Conclusions: Most middle-aged women from the Policlínico April 19 were concluded to have normal bone; osteoporosis predominated in older age groups and white skin color. Longer postmenopausal time and higher levels of luteinizing hormone and the follicle stimulating hormone were associated with poor bone mass; high levels of estradiol were associated with better bone mass(AU)

Characteristics of older patients with postmenopausal osteoporosis who developed loss of muscle mass during the COVID-19 pandemic - a case-control study.

BACKGROUND: Under the restriction of social activities during the coronavirus disease 2019 (COVID-19) pandemic, there was concern about the loss of muscle mass due to a decrease in physical activity for the elderly. The purpose of this study was to investigate the characteristics of older patients with postmenopausal osteoporosis who developed loss of muscle mass during the COVID-19 pandemic in Japan. METHODS: A total of 54 patients with postmenopausal osteoporosis were evaluated in this study. Whole-body dual-energy X-ray absorptiometry was performed pre- and post-COVID-19 pandemic to measure trunk and lower limb muscle mass. At the time of the post-COVID-19 pandemic, we conducted a survey to compare lifestyle before pandemic (the frequency of going out, the frequency of meeting acquaintances or families living apart, regular exercise habits, walking time, family structure), and comorbidities between the muscle mass loss (ML) group and the muscle mass maintenance (MM) group. The ML group consisted of patients with at least a 5% decrease in lower limb muscle mass or trunk muscle mass. RESULTS: A significant difference was found only for the family structure (P = 0.0279); in the ML group, those living alone were the largest group, while in the MM group they were the smallest group. CONCLUSIONS: The ML group was significantly more likely to live alone than the MM group. The current study showed that loss of muscle mass was more common in patients living alone.

Predictors of osteoporotic fracture in postmenopausal women: a meta-analysis.

Osteoporosis affects more than 200 million women worldwide, with postmenopausal women being particularly susceptible to this condition and its severe sequelae disproportionately, such as osteoporotic fractures. To date, the current focus has been more on symptomatic treatment, rather than preventive measures. To address this, we performed a meta-analysis aiming to identify potential predictors of osteoporotic fractures in postmenopausal women, with the ultimate goal of identifying high-risk patients and exploring potential therapeutic approaches. We searched Embase, MEDLINE and Cochrane with search terms (postmenopausal AND fracture) AND ("risk factor" OR "predictive factor") in May 2022 for cohort and case-control studies on the predictors of osteoporotic fracture in postmenopausal women. Ten studies with 1,287,021 postmenopausal women were found eligible for analyses, in which the sample size ranged from 311 to 1,272,115. The surveyed date spanned from 1993 to 2021. Our results suggested that age, BMI, senior high school and above, parity ≥ 3, history of hypertension, history of diabetes mellitus, history of alcohol intake, age at menarche ≥ 15, age at menopause < 40, age at menopause > 50, estrogen use and vitamin D supplements were significantly associated with osteoporotic fracture in postmenopausal women. Our findings facilitate the early prediction of osteoporotic fracture in postmenopausal women and may contribute to potential therapeutic approaches. By focusing on preventive strategies and identifying high-risk individuals, we can work toward reducing the burden of osteoporosis-related fractures in this vulnerable population.

Associations of dietary oxidative balance score with femur osteoporosis in postmenopausal women: data from the National Health and Nutrition Examination Survey.

We used data from the NHANES to explore associations of DOBS with femur BMD and osteoporosis in postmenopausal women. We found that DOBS was positively associated with femur BMD and negatively associated with the risk of osteoporosis in postmenopausal women. PURPOSE: The study aimed to investigate the relationship between dietary oxidative balance score (DOBS) and the risk of osteoporosis in American postmenopausal women. METHODS: A total of 3043 participants were included in this study. The linear relationship between DOBS and femur BMD was evaluated using a weighted multivariate linear regression model. The association between DOBS and the risk of osteoporosis was assessed using a weighted logistic regression model, with odds ratios (ORs) and 95% confidence intervals (CIs) calculated. Moreover, the relationship was further characterized through smooth curve fitting (SCF) and weighted generalized additive model (GAM) analysis. RESULTS: After adjusting for all covariates, the weighted multivariable linear regression models showed a positive correlation between DOBS and femur BMD. Moreover, the weighted logistic regression model demonstrated that compared to the first tertile of DOBS, the highest tertile of DOBS was significantly associated with a lower risk of osteoporosis, with ORs of 0.418 (95% CI, 0.334, 0.522) for individuals under the age of 70 and 0.632 (95% CI, 0.506, 0.790) for individuals aged 70 or above. Similar trends were also observed in SCF and GAM models. CONCLUSION: The present study indicated that postmenopausal women with a higher DOBS have a lower risk of femur osteoporosis. This finding may highlight the potential protective role of an antioxidant-rich diet for the bones of the postmenopausal population. Moreover, DOBS may also be a valuable tool in identifying individuals with osteoporosis. Screening and early intervention for osteoporosis may be essential for postmenopausal women with low DOBS.

Costs of incident non-hip osteoporosis-related fractures in postmenopausal women from a payer perspective.

Osteoporosis-related fractures lead to high morbidity, mortality, and healthcare costs among post-menopausal women. This study showed that incident non-hip osteoporosis-related fractures are frequent among women aged 50 + in Portugal, leading to excessive healthcare costs of €74 million per year, in a conservative scenario. PURPOSE: This study aimed to estimate the costs of incident non-hip osteoporosis-related fractures among postmenopausal women living in Portugal from a payer perspective. METHODS: The study includes women ≥ 50 years old who participated in the baseline assessment (2011-2013) and the first follow-up wave (2013-2015) of the Epidemiology of Chronic Diseases cohort, a Portuguese community-based longitudinal prospective study (n = 2,762). Incident non-hip osteoporosis-related fractures were defined as any self-reported low impact non-hip fractures since baseline. Healthcare resource utilization during the year following fracture was obtained from an informal panel of experts. The amounts of resources used were multiplied by the national tariffs practiced in the National Health Service (NHS) to obtain the cost per patient in the year following a wrist, vertebral, or other site fracture, which was subsequently multiplied by the estimated annual number of incident fractures to obtain the total annual cost of incident non-hip osteoporosis-related fractures among postmenopausal women. RESULTS: Each year approximately 5,000 wrist, 3,500 vertebral, and 39,000 other-site osteoporosis-related fractures occur in women aged 50 + in Portugal. Healthcare costs per patient in the year following fracture vary from €2,709.52 for vertebral fractures to €3,096.35 for other fractures. Non-hip incident osteoporosis-related fractures among 50 + women cost approximately €74 million per year. Among all healthcare services, physiotherapy represents the bulk of costs. CONCLUSIONS: This study pinpoints the relevance of preventing non-hip osteoporosis-related fractures, as these cost about €74 million per year in direct healthcare costs, a substantial impact on the budget of the Portuguese NHS.

Association between physical activity and bone mineral density in postmenopausal women: a cross-sectional study from the NHANES 2007-2018.

BACKGROUND: Physical activity (PA) is generally encouraged for the treatment of osteoporosis. However, epidemiological statistics on the level of physical activity required for bone health are scarce. The purpose of this research was to analyze the association between PA and total spine bone mineral density (BMD) in postmenopausal women. METHODS: The research study included postmenopausal women aged ≥ 50 from the National Health and Nutrition Examination Survey. The metabolic equivalent (MET), weekly frequency, and duration of each activity were used to calculate PA. Furthermore, the correlations between BMD and PA were investigated by multivariable weighted logistic regression. RESULTS: Eventually, 1681 postmenopausal women were included, with a weighted mean age of 62.27 ± 8.18 years. This study found that performing ≥ 38MET-h/wk was linked to a lower risk of osteoporosis after controlling for several covariates. Furthermore, the subgroup analysis revealed that the connection between total spine BMD and moderate-to-vigorous PA was more obvious among postmenopausal women aged < 65 years or individuals with normal BMI (< 25 kg/m2). CONCLUSION: Physical activity ranging from moderate to vigorous was linked to higher total spine BMD in postmenopausal women.

Hip structural analysis, trabecular bone score, and bone mineral density in post-menopausal women with type-2 diabetes mellitus: a multi-center cross-sectional study in the south of Iran.

This study aimed to evaluate bone mineral density (BMD), trabecular microarchitecture, and proximal hip geometry in diabetic postmenopausal women, where BMD alone cannot reflect bone strength adequately. We found significantly lower trabecular bone score and BMD at the distal radius and total forearm in diabetic subjects compared to controls. PURPOSE: The limitations resulting from the exclusive assessment of bone mineral density (BMD) in people with diabetes can lead to underestimation of microarchitectural and geometric changes, both of which play an essential role in the fracture risk. Therefore, we aimed to evaluate BMD, trabecular bone score (TBS), and hip structural analysis (HSA) in diabetic type-2 post-menopausal women and compare them with healthy postmenopausal subjects. METHODS: BMD was assessed at the lumbar spine, femoral sites, distal radius, and total forearm using dual-energy X-ray absorptiometry (DXA); TBS was measured based on DXA images using the software at the same region of interest as the BMD measurements; geometric assessment at the proximal femur was performed by the HSA program. RESULTS: A total of 348 ambulatory type-2 diabetic postmenopausal women and 539 healthy postmenopausal women were enrolled. TBS and BMD at the distal radius and total forearm were significantly (P value < 0.05) lower in cases compared to controls after age and body mass index (BMI) adjustment. In addition, degraded bone microarchitecture was significantly (P value < 0.05) more prevalent in diabetic subjects than in non-diabetic controls after adjusting for age and BMI. A number of geometric indices of the proximal hip were significantly lower in the controls than in those with diabetes (P-value < 0.05). CONCLUSION: This study may highlight the utility of the TBS and BMD at the distal radius and total forearm in subjects with type-2 diabetes mellitus, where the BMD at central sites may not adequately predict fracture risk.

Economic evaluation of four treatment strategies for postmenopausal patients with osteoporosis and a recent fracture in mainland China: a cost-effectiveness analysis.

Postmenopausal patients with osteoporosis who have a recent fracture are at very high risk of fracture, and this study finds that stratified treatment based on fracture risk would be a cost-effective treatment option for this population. PURPOSE: To evaluate the cost-effectiveness of four anti-osteoporosis medications (denosumab, zoledronate, teriparatide, and alendronate) for postmenopausal osteoporotic women in mainland China, using a stratified treatment strategy recommended by the American Association of Clinical Endocrinologists and the American College of Endocrinology (AACE/ACE). METHODS: A microsimulation Markov model was used to compare the cost-effectiveness of the four treatments in postmenopausal osteoporotic patients of different ages (65, 70, 75, and 80 years), with a recent fracture from the Chinese healthcare perspective. The primary outcome was the incremental cost-effectiveness ratio (ICER), which represent the incremental cost per quality-adjusted life-year (QALY) obtained. One-way deterministic sensitivity analysis (DSA) and probabilistic sensitivity analysis (PSA) were performed to assess the robustness of model findings. RESULTS: Alendronate was dominated by denosumab-to-alendronate and zoledronate at all ages examined, indicating that the costs of the two drugs were lower, but QALYs was greater. However, teriparatide-to-alendronate yielded an ICER of $76,432.07/ QALY, compared with alendronate at age 65, which exceeded the pre-determined willingness-to-pay threshold of $37,653/ QALY. The results were similar at other ages. The DSA showed that the most sensitive parameters were drug efficacy for vertebral and wrist fractures, the relative risk of vertebral fractures, and the persistence of the drugs. The PSA showed that zoledronate had a 100% probability of being the most cost-effective treatment, with a willingness-to-pay threshold of $37,653/ QALY. CONCLUSION: Stratified treatment based on very high fracture risk is more cost-effective than conventional pills in mainland China. Among the stratified treatments, zoledronate is the optimal option.

The relation between dietary quality and healthy eating index with bone mineral density in osteoporosis: a case-control study.

BACKGROUND: In this study, we aimed to illustrate the association between the Healthy Eating Index (HEI) and Dietary Quality Index (DQI) with bone mineral density (BMD) among postmenopausal Iranian women with osteoporosis compared to the healthy control. METHODS: In the current case-control study, 131 postmenopausal women with osteoporosis and 131 healthy postmenopausal women participated. Dual-energy X-ray absorptiometry was used to assess the lumbar vertebrae and femoral neck BMD. The subjects completed a validated food frequency questionnaire (FFQ), and then HEI and DQI were calculated based on the FFQ data. Crude and adjusted multivariable logistic regression was used to assess the relation between HEI and DQI with the odds of the femoral and lumbar BMD. RESULTS: According to the results, participants in the last tertile of HEI were more likely to have higher femoral and lumbar BMD in the crude model (odds ratio (OR) = 0.38; 95% confidence interval (CI): 0.20-0.71 and OR = 0.20; 95% CI: 0.10-0.40, respectively) and also in the adjusted model (OR = 0.40; 95% CI: 0.20-0.78 and OR = 0.20; 95% CI: 0.10-0.41, respectively). Also, in terms of DQI-I, participants in the last tertile were more likely to have higher femoral and lumbar BMD in the crude model (OR = 0.23; 95% CI: 0.12-0.45 and OR = 0.29; 95% CI: 0.15-0.55, respectively) and also in the adjusted model (OR = 0.29; 95% CI: 0.14-0.58 and OR = 0.34; 95% CI: 0.17-0.67, respectively). CONCLUSIONS: The results of the current study supported the hypothesis that high-quality diets with healthy patterns can be clinically effective in maintaining bone health. Thus, recommendations regarding the consumption of nutrient-rich food groups in a healthy diet can serve as a practical non-pharmacological strategy against osteoporosis.

Klotho reduces the risk of osteoporosis in postmenopausal women: a cross-sectional study of the National Health and Nutrition Examination Survey (NHANES).

BACKGROUND: Osteoporosis (OP) is one of the diseases that endanger the health of the elderly population. Klotho protein is a hormone with anti-aging effects. A few studies have discussed the relationship between Klotho and OP. However, there is still a lack of research on larger populations. This study aims to evaluate the association between OP and Klotho in American postmenopausal women. METHODS: This is a retrospective study. We searched the National Health and Nutrition Examination Survey (NHANES) database and collected data of 3 survey cycles, finally involving 871 postmenopausal women over 50 years old in the present study. All participants took dual-energy X-ray absorptiometry examination and serum Klotho testing at the time of investigation. After adjusting the possible confounding variables, a multivariate regression model was employed to estimate the relationship between OP and Klotho proteins. Besides, the P for trend and restricted cubic spline (RCS) were applied to examine the threshold effect and calculate the inflection point. RESULTS: Factors influencing the occurrence of OP included age, ethnicity, body mass index and Klotho levels. Multivariate regression analysis indicated that the serum Klotho concentration was lower in OP patients than that in participants without OP (OR[log2Klotho] = 0.568, P = 0.027). The C-index of the prediction model built was 0.765, indicating good prediction performance. After adjusting the above-mentioned four variables, P values for trend showed significant differences between groups. RCSs revealed that when the Klotho concentration reached 824.09 pg/ml, the risk of OP decreased drastically. CONCLUSION: Based on the analysis of the data collected from the NHANES database, we propose a correlation between Klotho and postmenopausal OP. A higher serum Klotho level is related to a lower incidence of OP. The findings of the present study can provide guidance for research on diagnosis and risk assessment of OP.

A clinical prediction model for 10-year risk of self-reported osteoporosis diagnosis in pre- and perimenopausal women.

A machine learning model using clinical, laboratory, and imaging data was developed to predict 10-year risk of menopause-related osteoporosis. The resulting predictions, which are sensitive and specific, highlight distinct clinical risk profiles that can be used to identify patients most likely to be diagnosed with osteoporosis. PURPOSE: The aim of this study was to incorporate demographic, metabolic, and imaging risk factors into a model for long-term prediction of self-reported osteoporosis diagnosis. METHODS: This was a secondary analysis of 1685 patients from the longitudinal Study of Women's Health Across the Nation using data collected between 1996 and 2008. Participants were pre- or perimenopausal women between 42 and 52 years of age. A machine learning model was trained using 14 baseline risk factors-age, height, weight, body mass index, waist circumference, race, menopausal status, maternal osteoporosis history, maternal spine fracture history, serum estradiol level, serum dehydroepiandrosterone level, serum thyroid-stimulating hormone level, total spine bone mineral density, and total hip bone mineral density. The self-reported outcome was whether a doctor or other provider had told participants they have osteoporosis or treated them for osteoporosis. RESULTS: At 10-year follow-up, a clinical osteoporosis diagnosis was reported by 113 (6.7%) women. Area under the receiver operating characteristic curve of the model was 0.83 (95% confidence interval, 0.73-0.91) and Brier score was 0.054 (95% confidence interval, 0.035-0.074). Total spine bone mineral density, total hip bone mineral density, and age had the largest contributions to predicted risk. Using two discrimination thresholds, stratification into low, medium, and high risk, respectively, was associated with likelihood ratios of 0.23, 3.2, and 6.8. At the lower threshold, sensitivity was 0.81, and specificity was 0.82. CONCLUSION: The model developed in this analysis integrates clinical data, serum biomarker levels, and bone mineral densities to predict 10-year risk of osteoporosis with good performance.