Non-osteoporosis Group Research Articles

Marginal Health Care Expenditures and Health-Related Quality of Life Burden in Patients with Osteoporosis in United States.

Osteoporosis, marked by reduced bone density, significantly impacts quality of life. Recent estimates on its economic and humanistic burden in the United States (US) are scarce. To evaluate the marginal burden of osteoporosis on total all-cause health care costs and health-related quality of life (HRQoL) in the US. This retrospective cross-sectional study utilized 2019-2021 MEPS data, including adults aged ≥50 years with or without osteoporosis. HRQoL was assessed using physical component summary (PCS) and mental component summary (MCS) scores. Descriptive analyses reported sociodemographic/clinical characteristics, healthcare expenditures, and PCS/MCS scores. A two-part model assessed the marginal effect of osteoporosis on total healthcare expenditures. Multivariable generalized linear model (GLM) estimated the marginal differences in MCS and PCS scores between the osteoporosis and non-osteoporosis groups, while multivariable linear regression assessed factors associated with HRQoL among patients with osteoporosis. There were approximately 2.89 million patients with osteoporosis and 25 million without osteoporosis. The marginal total health care expenditures were $8,572.15 (95% CI: $6,546.39-$14,597.92) higher for the osteoporosis versus non-osteoporosis group. Age, sex, marital status, year, and certain comorbidities were significant predictors of HRQoL among osteoporosis patients. Multivariable GLM indicated PCS scores were 6.29 units lower (95% CI: -7.08- -4.15) and MCS scores were 4.22 units lower (95% CI: -8.34- -3.31) among osteoporosis versus non-osteoporosis patients. Patients with osteoporosis showed higher economic burden and lower HRQoL than those without, highlighting the need for policy changes and innovative approaches to improve HRQoL and reduce healthcare expenses for osteoporosis management.

Hidden blood loss of minimally invasive transforaminal lumbar interbody fusion of lumbar degenerative diseases in patients with osteoporosis: a retrospective study.

To compare hidden blood loss (HBL) of minimally invasive transforaminal lumbar interbody fusion (Mis-TLIF) of lumbar degenerative diseases in patients with or without osteoporosis (OP) and identify the risk factors for HBL with OP. The data from 156 patients with lumbar degenerative diseases, who underwent Mis-TLIF between January 2018 and December 2021, were retrospectively analyzed. The patients were divided into the Osteoporosis and Non-osteoporosis groups. We recorded demographic characteristics and blood-related parameters in each group. Blood loss was measured by quantifying visible blood loss and calculating HBL using preoperative hematocrit (Hctpre) and postoperative hematocrit (Hctpost). Pearson or Spearman correlation analysis was used to investigate the association between OP patient's characteristics and HBL. Multivariate linear regression analysis was used to confirm independent risk factors of HBL in patients with OP. The mean HBL of the Osteoporosis and Non-osteoporosis groups was 608.27 ± 175.23 and 173.04 ± 67.55ml, respectively. There were significant differences in age, BMI, subcutaneous fat thickness, muscle thickness, Hctpost, average hematocrit of preoperative and postoperative (Hctave), visible blood loss, HBL and volume of allogeneic blood transfusions between the two groups (P < 0.05). Multivariate linear regression analysis showed that Hctpost, T-score, use of tranexamic acid (TXA) and preoperative regular anti-osteoporosis treatment were independent risk factors for HBL in patients with OP. There was significant perioperative HBL in patients with OP. Hctpost, T-score, use of TXA and preoperative regular anti-osteoporosis treatment were independent risk factors for HBL in patients with OP. More attention should be paid to the perioperative period to ensure the safety of patients with OP.

Enhanced Osteoporosis Detection Using Artificial Intelligence: A Deep Learning Approach to Panoramic Radiographs with an Emphasis on the Mental Foramen.

Osteoporosis, a skeletal disorder, is expected to affect 60% of women aged over 50 years. Dual-energy X-ray absorptiometry (DXA) scans, the current gold standard, are typically used post-fracture, highlighting the need for early detection tools. Panoramic radiographs (PRs), common in annual dental evaluations, have been explored for osteoporosis detection using deep learning, but methodological flaws have cast doubt on otherwise optimistic results. This study aims to develop a robust artificial intelligence (AI) application for accurate osteoporosis identification in PRs, contributing to early and reliable diagnostics. A total of 250 PRs from three groups (A: osteoporosis group, B: non-osteoporosis group matching A in age and gender, C: non-osteoporosis group differing from A in age and gender) were cropped to the mental foramen region. A pretrained convolutional neural network (CNN) classifier was used for training, testing, and validation with a random split of the dataset into subsets (A vs. B, A vs. C). Detection accuracy and area under the curve (AUC) were calculated. The method achieved an F1 score of 0.74 and an AUC of 0.8401 (A vs. B). For young patients (A vs. C), it performed with 98% accuracy and an AUC of 0.9812. This study presents a proof-of-concept algorithm, demonstrating the potential of deep learning to identify osteoporosis in dental radiographs. It also highlights the importance of methodological rigor, as not all optimistic results are credible.

Bone Mineral Density and Clinical Outcome after Ankle Fracture.

No gold standard exists for bone mineral density (BMD) measurement of the ankle. This study aimed to determine the correlation between bone density using Hounsfield units (HU) based on computed tomography (CT) and BMD using dual energy X-ray absorptiometry (DXA) as well as to evaluate the correlation between HU and clinical outcome of ankle fracture. Fifty-one patients aged ≥65 years who underwent surgical treatment for trimalleolus or bimalleolus ankle fractures were included. The HU were measured at the distal tibia metaphyseal region approximately 1 cm proximal to the plafond on the axial images of preoperative CT. BMD was measured using DXA within one year before the injury. The clinical outcome was evaluated according to the Foot and Ankle Outcome Score (FAOS). Although the HU of an osteoporosis group was lower than that of a non-osteoporosis group, we observed no significant difference between the two groups. The mean HU significantly correlated with the lumbar and total lumbar spine BMD using DXA. Increased HU significantly correlated with improved clinical outcomes in three of five FAOS subscales: symptoms, pain, activity of daily living (ADL), and quality of life (QOL). In a linear regression analysis adjusted for age and body mass index, increased HU significantly correlated with improved clinical outcomes in three of five FAOS subscales: symptoms, pain, ADL, and QOL. The correlations between bone density using HU and BMD and those between HU and the clinical outcome were confirmed in ankle fractures. The HU of preoperative CT might provide valuable information for predicting postoperative clinical outcomes.

Investigation of prevalence rate of osteoporosis and analysis of its influencing factors in older adults in Jiuting Town, Songjiang District, Shanghai City

To explore the prevalence and related risk factors of osteoporosis (OP) in the elderly ≥60 years old in Jiuting Town, Songjiang District, Shanghai City. A total of 2 175 local residents aged ≥60 years old who participated in the questionnaire survey at the physical examination center of Jiuting Community Health Service Center, Songjiang District, Shanghai City from July 2021 to December 2022 were selected by a cross-sectional study with multi-stage sampling method. Questionnaire survey, blood test and bone mineral density (BMD) test were conducted.The differences in all the parameters among the elderly with different bone mass level were analyzed using t-test, chi-square test, binary logistic regression was used to screen the potential risk factors of OP.The results showed that the prevalence of OP in the elderly aged≥60 years old in Jiuting Town was 45.89%.The prevalence of OP increased gradually with the advanced age. The prevalence rate of male was significantly lower than that of female(χ2=211.94, P<0.01).Single factor analysis showed that Dairy products(χ2=9.01, P<0.05), taking calcium(χ2=42.88, P<0.05), physical exercise(χ2=24.73, P<0.05), exercise time(χ2=76.40, P<0.05) and sun exposure(χ2=55.71, P<0.05) were the protective factors for osteoporosis. Multifactor analysis showed that female(wald χ2=71.46, P<0.001) were the risk factors for osteoporosis. The age of the osteoporosis group was older than that of the non-osteoporosis group [osteoporosis group (72.47±6.89) years old, non-osteoporosis group (68.73±6.34) years old, and the difference was statistically significant, t=-11.67, P<0.05]. The waist circumference, alanine aminotransferase (ALT), creatinine (CR), blood urea nitrogen (BUN) and uric acid (UA) in the non-osteoporosis group were higher than those in the osteoporosis group, and the difference was statistically significant (all P<0.05). The levels of high-density lipoprotein (HDL)[osteoporosis group (1.34±0.35) mol/L, non-osteoporosis group (1.41±0.35) mol/L, t=-4.51, P<0.05] and alkaline phosphatase (ALP)[osteoporosis group (88.46±25.65) mol/L, osteoporosis group (94.56±32.32) mol/L, t=-4.79, P<0.05] in the osteoporosis group were lower than those in the non-osteoporosis group.Low awareness of the knowledge of osteoporosis risk factors(smoking, drinking coffee, high salt and drinking alcohol are 47.28%, 24.15%, 47.79% and 44.90%, respectively), diagnosis and treatment(The symptoms, prognosis, screening methods, medication time and follow-up screening time of osteoporosis were 26.87%, 17.88%, 21.77%, 6.65% and 15.99%, respectivel) and prevention(exercise mode, high calcium food, optimal age of calcium supplementation, the effect of vitamin D on OP, and the appropriate amount of milk to prevent osteoporosis were 33.16%, 42.01%, 13.27%, 12.07%, 9.01%, respectively) were in Jiuting Town. In conclusion, the prevalent rate of OP in the elderly ≥60 years old in Jiuting Town is 45.89%.The main risk factors are female and advanced age. Drinking tea, dairy products, combination of meat and vegetable, taking calcium, physical exercise and sun exposure were the protective factors for osteoporosis. The awareness rate of osteoporosis related knowledge is low, and health education should be strengthened in order to control and prevent the occurrence and development of osteoporosis.

CRIP1 regulates osteogenic differentiation of bone marrow stromal cells and pre-osteoblasts via the Wnt signaling pathway

With the aging of the global demographic, the prevention and treatment of osteoporosis are becoming crucial issues. The gradual loss of self-renewal and osteogenic differentiation capabilities in bone marrow stromal cells (BMSCs) is one of the key factors contributing to osteoporosis. To explore the regulatory mechanisms of BMSCs differentiation, we collected bone marrow cells of femoral heads from patients undergoing total hip arthroplasty for single-cell RNA sequencing analysis. Single-cell RNA sequencing revealed significantly reduced CRIP1 (Cysteine-Rich Intestinal Protein 1) expression and osteogenic capacity in the BMSCs of osteoporosis patients compared to non-osteoporosis group. CRIP1 is a gene that encodes a member of the LIM/double zinc finger protein family, which is involved in the regulation of various cellular processes including cell growth, development, and differentiation. CRIP1 knockdown resulted in decreased alkaline phosphatase activity, mineralization and expression of osteogenic markers, indicating impaired osteogenic differentiation. Conversely, CRIP1 overexpression, both in vitro and in vivo, enhanced osteogenic differentiation and rescued bone mass reduction in ovariectomy-induced osteoporosis mice model. The study further established CRIP1's modulation of osteogenesis through the Wnt signaling pathway, suggesting that targeting CRIP1 could offer a novel approach for osteoporosis treatment by promoting bone formation and preventing bone loss.

Predicting Osteoporosis and Osteopenia by Fusing Deep Transfer Learning Features and Classical Radiomics Features Based on Single-Source Dual-energy CT Imaging

Rationale and ObjectivesTo develop and validate a predictive model for osteoporosis and osteopenia prediction by fusing deep transfer learning (DTL) features and classical radiomics features based on single-source dual-energy computed tomography (CT) virtual monochromatic imaging. MethodsA total of 606 lumbar vertebrae with dual-energy CT imaging and quantitative CT (QCT) evaluation were included in the retrospective study and randomly divided into the training (n=424) and validation (n=182) cohorts. Radiomics features and DTL features were extracted from 70-keV monochromatic CT images, followed by feature selection and model construction, radiomics and DTL features models were established. Then, we integrated the selected two types of features into a features fusion model. We developed a two-level classifier for the hierarchical pairwise classification of each vertebra. All the vertebrae were first classified into osteoporosis and non-osteoporosis groups, then non-osteoporosis group was classified into osteopenia and normal groups. QCT was used as reference. The predictive performance and clinical usefulness of three models were evaluated and compared. ResultsThe area under the curve (AUC) of the features fusion, radiomics and DTL models for the classification between osteoporosis and non-osteoporosis were 0.981, 0.999, 0.997 in the training cohort and 0.979, 0.943, 0.848 in the validation cohort. Furthermore, the AUCs of the abovementioned models for the differentiation between osteopenia and normal were 0.994, 0.971, 0.996 in the training cohort and 0.990, 0.968, 0.908 in the validation cohort. The overall accuracy of the abovementioned models for two-level classifications was 0.979, 0.955, 0.908 in the training cohort and 0.918, 0.885, 0.841 in the validation cohort. Decision curve analysis (DCA) showed that all models had high clinical value. ConclusionThe feature fusion model can be used for osteoporosis and osteopenia prediction with improved predictive ability over a radiomics model or a DTL model alone.

Skeletal muscle index based on CT at the 12th thoracic spine level can predict osteoporosis and fracture risk: a propensity score-matched cohort study.

Multiple studies have shown that skeletal muscle index (SMI) measured on abdominal computed tomography (CT) is strongly associated with bone mineral density (BMD) and fracture risk as estimated by the fracture risk assessment tool (FRAX). Although some studies have reported that SMI at the level of the 12th thoracic vertebra (T12) measured on chest CT images can be used to diagnose sarcopenia, it is regrettable that no studies have investigated the relationship between SMI at T12 level and BMD or fracture risk. Therefore, we further investigated the relationship between SMI at T12 level and FRAX-estimated BMD and fracture risk in this study. A total of 349 subjects were included in this study. After 1∶1 propensity score matching (PSM) on height, weight, hypertension, diabetes, hyperlipidemia, hyperuricemia, body mass index (BMI), age, and gender, 162 subjects were finally included. The SMI, BMD, and FRAX score of the 162 participants were obtained. The correlation between SMI and BMD, as well as SMI and FRAX, was assessed using Spearman rank correlation. Additionally, the effectiveness of each index in predicting osteoporosis was evaluated through the receiver operating characteristic (ROC) curve analysis. The BMD of the lumbar spine (L1-4) demonstrated a strong correlation with SMI (r = 0.416, p < 0.001), while the BMD of the femoral neck (FN) also exhibited a correlation with SMI (r = 0.307, p < 0.001). SMI was significantly correlated with FRAX, both without and with BMD at the FN, for major osteoporotic fractures (r = -0.416, p < 0.001, and r = -0.431, p < 0.001, respectively) and hip fractures (r = -0.357, p < 0.001, and r = -0.311, p < 0.001, respectively). Moreover, the SMI of the non-osteoporosis group was significantly higher than that of the osteoporosis group (p < 0.001). SMI effectively predicts osteoporosis, with an area under the curve of 0.834 (95% confidence interval 0.771-0.897, p < 0.001). SMI based on CT images of the 12th thoracic vertebrae can effectively diagnose osteoporosis and predict fracture risk. Therefore, SMI can make secondary use of chest CT to screen people who are prone to osteoporosis and fracture, and carry out timely medical intervention.

Linking the relationship between dietary folic acid intake and risk of osteoporosis among middle-aged and older people: A nationwide population-based study.

Among middle-aged and older people, balanced and nutritious diets are the foundation for maintaining bone health and preventing osteoporosis. This study is aimed at investigating the link between dietary folic acid intake and the risk of osteoporosis among middle-aged and older people. A total of 20,686 people from the National Health and Nutritional Examination Survey (NHANES) 2007-2010 are screened and included, and 5312 people aged ≥45 years with integral data are ultimately enrolled in evaluation. Demographics and dietary intake-related data are gathered and analyzed, and the odds ratio (OR) and 95% confidence interval (CI) of each tertile category of dietary folic acid intake and each unit increase in folic acid are assessed via multivariate logistic regression models. On this basis, the receiver operating characteristic (ROC) curve is used to identify the optimal cutoff value of dietary folic acid intake for indicating the risk of osteoporosis. Of 5312 people with a mean age of 62.4 ± 11.0 years old, a total of 513 people with osteoporosis are screened, and the dietary folic acid intake amount of the osteoporosis group is significantly lower than that of the non-osteoporosis group (p < .001). The lowest tertile category is then used to act as a reference category, and a higher dietary folic acid intake amount is observed to be positively related to lower odds for risk of osteoporosis. This trend is also not changed in adjustments for combinations of different covariates (p all < .05). Based on this, a dietary folic acid intake of 475.5 μg/day is identified as an optimal cutoff value for revealing osteoporosis. Collectively, this nationwide population-based study reveals that a higher daily dietary folic acid intake has potential protective effects on osteoporosis in middle-aged and older people.

Diversity of the diet is correlated with osteoporosis in post-menopausal women: an Iranian case-control study.

Proper nutrition is a crucial factor in preventing osteoporosis, a significant pathological cause linked to skeletal weakness; this study investigated the relationship between dietary diversity score and food group diversity score with osteoporosis in postmenopausal women. This case-control study was conducted on 378 menopausal women aged 45-85 in Tehran, Iran. The age-matching method to control the confounding effect of age was used. The method of dual-energy X-ray absorptiometry (DXA) was used for assessing the bone mineral density of lumbar vertebrae and femoral neck. The bone mass status was evaluated with WHO criteria. All subjects were divided into the osteoporosis group and the non-osteoporosis group according to their T-score. A convenience sampling method was utilized to select the participants, which included two groups: case (n = 189) and control (n = 189). Data was collected using demographic and anthropometric information questionnaires, a valid 147 item food frequency questionnaire, and a physical activity questionnaire. Statistical analyses were conducted using SPSS-26, and p-values less than 0.05 were deemed to be statistically significant. The results indicated significant differences in weight, body mass index, physical activity, smoking, and alcohol use between the two groups. The mean ± standard deviation of dietary diversity score (DDS) was lower in participants with osteoporosis (case) (3.31 ± 1.26) than in control (4.64 ± 1.33) (p < 0.001). The mean ± standard deviation of diversity score of cereals, fruits, and vegetables in the osteoporosis group (respectively: 0.71 ± 0.21, 0.94 ± 0.76, and 0.45 ± 0.44) was less than the control group (respectively: 0.80 ± 0.21, 1.64 ± 0.55 and 0.87 ± 0.42) (p < 0.001). After adjusting the confounding variables, the risk of osteoporosis had an inverse relationship with the diversity score of vegetable (OR = 0.16; 95%CI: 0.07-0.35), bread and cereal (OR = 0.21; 95% CI: 0.05-0.87) and fruit (OR = 0.35; 95%CI: 0.22-0.56) (p < 0.05). Nevertheless, no discernible correlation was seen between the tertiles of DDS, dairy and meat diversity score, and osteoporosis. We found a correlation between the diversity score of fruits, vegetables, and grains and osteoporosis. However, there is no significant correlation between the DDS triads and the diversity score of dairy products and meats with osteoporosis.

Association between osteoporosis and cardiovascular disease in elderly people: evidence from a retrospective study

Objective This study aimed to investigate the associations between osteoporosis, biochemical indexes, bone mineral density (BMD), and cardiovascular disease. Methods A cross-sectional study design was used to examine the relationships between these parameters. Logistic regression and correlation analyses were conducted to assess the associations between elevated levels of triglyceride, total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), homocysteine, and the presence of osteoporosis. Additionally, correlations between BMD and biochemical indexes were analyzed. The incidence of cardiovascular disease and its correlation with BMD were evaluated. Receiver operating characteristic (ROC) analysis was performed to determine the utility of BMD in identifying cardiovascular disease. Results The results revealed that elevated triglyceride, total cholesterol, and LDL levels were positively associated with osteoporosis, while higher HDL levels and homocysteine were negatively associated. Correlation analysis demonstrated negative correlations between triglyceride levels and BMD, and positive correlations between total cholesterol and HDL levels with BMD. LDL levels showed a weak negative correlation, and homocysteine levels exhibited a strong negative correlation with BMD. The osteoporosis group had lower BMD and a higher incidence of cardiovascular disease compared to the non-osteoporosis group. Logistic regression analysis confirmed the correlation between lower BMD and increased risk of cardiovascular disease. Conclusion This study provides evidence supporting the associations between osteoporosis, biochemical indexes, BMD, and cardiovascular disease. Aberrations in lipid profiles and homocysteine levels may contribute to osteoporosis development. Lower BMD, particularly in individuals with osteoporosis, appears to increase the risk of cardiovascular disease. BMD shows promise as a diagnostic tool for identifying individuals at risk of cardiovascular disease. Further research is needed to elucidate the underlying mechanisms and establish the clinical implications of these relationships. Future longitudinal studies are necessary to determine causality and long-term prognostic implications.

Low BMI, blood calcium and vitamin D, kyphosis time, and outdoor activity time are independent risk factors for osteoporosis in postmenopausal women.

To explore the risk factors of osteoporosis in postmenopausal women in China. This study collected all patient data from January 2014 to December 2015. Basic information and questionnaires were collected from 524 postmenopausal women in Sanya and Hainan Province. The questionnaire was administered to the enrolled participants by endocrinologists. Biochemical parameters were measured using fasting blood samples, and bone density was measured by dual energy X-ray absorptiometry at the department of radiology of Hainan hospital, PLA General Hospital. Participants with an R-value of ≤-2.5 were diagnosed with osteoporosis. After deleting missing values for each factor, 334 participants were divided into the osteoporosis (n=35) and non-osteoporosis (n=299) groups according to the R-values. The participants had a median age of 60.8 years (range: 44-94 years). Among the 334 postmenopausal women included in this study, 35 (10.5%) were diagnosed with osteoporosis. Univariate analysis showed statistically significant differences in age, BMI, type of work, alkaline phosphatase, years of smoking, blood calcium levels, kyphosis, fracture, and asthma between the two groups (P<0.05). In addition, multivariate logistic analysis showed that age (odds ratio [OR]: 1.185, 95% confidence interval [CI]: 1.085-1.293, P<0.001) and kyphosis times (OR:1.468, 95% CI: 1.076-2.001, P=0.015) were positively correlated with postmenopausal osteoporosis, whereas BMI (OR: 0.717, 95% CI: 0.617-0.832, P<0.001), blood calcium levels (OR: 0.920, 95% CI: 0.854-0.991, P=0.027), vitamin D levels (OR: 0.787, 95% CI: 0.674-0.918, P=0.002), and outdoor activity time (OR: 0.556, 95% CI: 0.338-0.915, P=0.021) were negatively correlated with postmenopausal osteoporosis. Low BMI, blood calcium and vitamin D levels, kyphosis time, and outdoor activity time are independent risk factors for osteoporosis in postmenopausal women.

Duration of Type 2 Diabetes Mellitus Over 5 Years, HbA1c Levels Over 7%, Alkaline Phospatase Over 130 IU/L, and C-Reactive Protein Over 3 mg/dL as Risk Factors for Osteoporosis in Type 2 DM Patients

BACKGROUND: Type 2 diabetes mellitus (DM) may increases the risk of osteoporosis due to impaired osteoblast and osteoclast function, which affects the morbidity and mortality rates of DM patients. Not many studies investigating the relationship of DM with osteoporosis. AIM: The purpose of this study was to evaluate the duration of DM, hemoglobin A1c (HbA1c), alkaline phosphatase (ALP), and C-reactive protein (CRP) levels as risk factors for osteoporosis. METHODS: Case control study was performed on a total of 44 samples that consist of ostoporosis group and non-osteoporosis group. Difference of HbA1c, ALP, and CRP between groups was evaluated using Chi-square test. RESULTS: Based on statistical analysis, we found that the duration of DM Type II ≥5 years (p = 0.002, odds ratio [OR] 11.08), HbA1c levels ≥7% (p = 0.027, OR 5.4), ALP ≥130 IU/L (p = 0.045, OR 5.2), and CRP ≥3 ng/dL (p = 0.033, OR 4.67) were significant risk factors for osteoporosis. Based on multivariate analysis with logistic regression, we found that risk factors for the duration of DM Type II ≥5 years had the greatest strength of association with osteoporosis. CONCLUSION: In DM patients, duration of DM ≥5 years, HbA1c levels ≥7%, ALP ≥130 IU/L, and CRP ≥3 ng/dL are predictor factors for osteoporosis that can be used in clinical practice. These risk factors can be used as evaluation parameters for DM patients who are suspected to have osteoporosis.

Prevalence, predictors, dynamic bone change, and treatment efficacy of osteoporosis among chronic obstructive pulmonary disease patients: a prospective cohort study.

Osteoporosis is a silent chronic obstructive pulmonary disease (COPD) comorbidity that is often under-detected. We aimed to study the prevalence and potential predictors of osteoporosis in COPD. Dynamic changes in bone mass density (BMD) and treatment efficacy of bisphosphonate were also assessed. This prospective cohort study included COPD patients between January 2017 and January 2019. Demographics data, spirometric parameters, and C-reactive protein (CRP) were collected. Bone mineral density (BMD) at the lumbar spine (L2-4) and both femoral necks were measured after enrollment and the 12-month follow-up. Participants were categorized into three groups per the baseline BMD T-score: normal (≥ - 1.0), osteopenia (between -1.0 and - 2.5), and osteoporosis (≤ - 2.5). In the osteoporosis group, alendronate 70 mg/week with vitamin D and calcium was prescribed. In total, 108 COPD patients were enrolled. The prevalence of osteoporosis and osteopenia were 31.5 and 32.4%, respectively. Advanced age, lower body mass index (BMI), history of exacerbation in the previous year, and high CRP levels were significant predictors of osteoporosis. After 12 months, 35.3% in the osteoporosis group reported new vertebral and femoral fractures, compared to none in the non-osteoporosis group (p < 0.001). In the normal BMD and osteopenia groups showed a further decline in BMD after 12-month. Conversely, the osteoporosis group showed a statistically significant improvement in BMD after anti-resorptive treatment (p < 0.001). The prevalence of osteoporosis was high in Thai COPD patients. Advanced age, lower BMI, history of exacerbation, and high CRP levels were potential predictors. A rapid decline in BMD was observed in COPD patients without treatment.

High systemic immune-inflammation index is relevant to osteoporosis among middle-aged and older people: A cross-sectional study.

As one of novel inflammatory indexes proposed in recent years, systemic immune-inflammation index (SII) can comprehensively reflect the inflammatory and immune state of the body. This study aims to explore the relationship between SII and osteoporosis among middle-aged and older people. Our study includes 20,497 individuals from National Health and Nutrition Examination Survey (NHANES) 2005-2008, and target study population are confined to people aged 45 years and above. SII is calculated as platelet count × neutrophil count/lymphocyte count. Multivariate logistic regression analysis is used to explore the link between SII and osteoporosis, and receiver operating characteristics curve is used to screen optimal cut-off value of SII for indicating the occurrence of osteoporosis. A total of 435 people with osteoporosis are screened among 4625 middle-aged and older people, and individuals in osteoporosis group have higher SII than those in nonosteoporosis group (p = .024). Logistic regression analysis indicates that with the enhancement of SII, prevalence of osteoporosis in each tertile category also increases (p < .001). This tendency is also not changed in univariate model (p < .001), as well as the adjustments for different parameters. Moreover, we also identify that SII of 530.09 is the optimal cut-off value for indicating the occurrence of osteoporosis among middle-aged and older people. This present NHANES-based study noticed that higher SII is positively linked to osteoporosis among middle-aged and older people, and SII should not exceed 530.09 for them to obtain a potentially lower risk of osteoporosis.

Adenovirus-associated anti-miRNA-214 regulates bone metabolism and prevents local osteoporosis in rats.

Objective: We investigated the expression of miRNA-214 in human osteoporotic bone tissue and tested the utility of adeno-associated virus (AAV) expressing a miRNA-214 inhibitor in terms of preventing local osteoporosis of the femoral condyle in a rat model of osteoporosis. Methods: (1) Femoral heads of patients who underwent hip replacements at our hospital because of femoral neck fractures were collected and divided into osteoporosis and non-osteoporosis groups based on preoperative bone mineral density data. MiRNA-214 expression was detected in bone tissues exhibiting obvious bone microstructural changes in the two groups. (2) A total of 144 SD female rats were divided into four groups: the Control, Model, Negative control (Model + AAV), and Experimental (Model + anti-miRNA-214) groups. AAV-anti-miRNA-214 was injected locally into the rat femoral condyles; we explored whether this prevented or treated local osteoporosis. Results: (1) MiRNA-214 expression in the human femoral head was significantly increased in the osteoporosis group. (2) Compared to the Model and Model + AAV groups, the bone mineral density (BMD) and femoral condyle bone volume/tissue volume (BV/TV) ratio in the Model + anti-miRNA-214 group were significantly higher; in addition, the number (TB.N) and thickness (TB.Th) of the trabecular bones were increased (all p < 0.05). MiRNA-214 expression in the femoral condyles of the Model + anti-miRNA-214 group was significantly higher than that in the other groups. The expression levels of the osteogenesis-related genes Alp, Bglap, and Col1α1 increased, while those of the osteoclast-related genes NFATc1, Acp5, Ctsk, Mmp9, and Clcn7 decreased. Conclusion: AAV-anti-miRNA-214 promoted osteoblast activity and inhibited osteoclast activity in the femoral condyles of osteoporotic rats, improving bone metabolism and slowing osteoporosis progression.

Determination of immune factor levels in serum and local hematoma samples of osteoporotic fracture patients and clinical study of the effect of active vitamin D3 treatment on immune factor levels

ObjectiveThe aim of this study was to investigate changes in systemic and local immune factors, namely, interleukin (IL)-1β, IL-6 and tumor necrosis factor (TNF)-α, in patients with and without osteoporotic fractures and to explore the effects of active vitamin D3 treatment on immune function and fracture prognosis in patients with osteoporotic fractures.MethodThe mRNA expression levels of IL-1β, IL-6 and TNF-α were measured before the operation. After the operation, the patients in the control group were treated with conventional fracture treatment and calcium supplementation, and the patients in the treatment group were treated with calcium plus active vitamin D3 in addition to conventional fracture treatment. The serum of each patient was collected on the seventh day after the operation.ResultsThe expression levels of the three immune factors (IL-1β, IL-6 and TNF-α) in the fracture end hematoma samples were significantly positively correlated with those in the serum samples (P < 0.05). The mean values of the serums of IL-1β, IL-6 and TNF-α in the osteoporosis group were significantly higher than those in the non-osteoporosis group (P < 0.05). The average number of hematomas in the osteoporosis group was significantly higher than that in the non-osteoporosis group (P < 0.05). The results for the active vitamin D3 treatment group were significantly lower than those for the control group (P < 0.05). The mean wrist function score of the active vitamin D3 treatment group was significantly better than that of the control group (P < 0.05). The average fracture healing time of the treatment group was significantly shorter than that of the control group (P < 0.05).ConclusionThe relative expression of IL-1β, IL-6, and TNF-α in the fracture end hematoma samples was positively correlated with the corresponding levels of these immune factors in the serum samples. The levels of IL-1β, IL-6 and TNF-α in the serum and fracture end hematoma samples of the osteoporotic fracture patients were higher than those of the non-osteoporotic fracture patients. Active vitamin D3 treatment promoted fracture healing by affecting the levels of these immune factors.

Association between dietary intake of α-tocopherol and cadmium related osteoporosis in population ≥ 50years.

To analyze the association between α-tocopherol intake and cadmium (Cd) exposure and osteoporosis in population ≥ 50years. Sociodemographic data, physical examination, andlaboratory indicators including serum Cd level and dietary α-tocopherol intake of 8459 participants were extracted from the National Health and Nutrition Examination Survey (NHANES) database in this cross-sectional study. The associations between α-tocopherol intake, serum Cd levels and osteoporosis were evaluated using univariate and multivariate logistic regression analyses, with the estimated value (β), odds ratios (ORs) and 95% confidence intervals (CIs). We further explored the impact of α-tocopherol intake on Cd exposure and the bone mineral density (BMD) in total femur and femur neck. A total of 543 old adults suffered from osteoporosis. The serum Cd level (0.52 μg/L vs. 0.37 μg/L) and α-tocopherol intake (5.28mg vs. 6.50mg) were statistical different in osteoporosis group and non-osteoporosis group, respectively. High level of Cd exposure was related to the increased risk of osteoporosis [OR = 1.60, 95% CI (1.15-2.21)]. In the total femur, α-tocopherol intake may improve the loss of BMD that associated with Cd exposure [β = - 0.047, P = 0.037]. Moreover, high α-tocopherol intake combined with low Cd exposure [OR = 0.54, 95% CI (0.36-0.81)] was linked to the decreased risk of osteoporosis comparing with low α-tocopherol intake combined with high Cd exposure. High α-tocopherol intake may improve the Cd-related osteoporosis and loss of BMD that could provide some dietary reference for prevention of osteoporosis in population ≥ 50years old.

Correlation between Forearm Bone Mineral Density Measured by Dual Energy X-ray Absorptiometry and Hounsfield Units Value Measured by CT in Lumbar Spine.

Our aim was to determine if the dual-energy X-ray absorptiometry (DXA)-measured forearm bone mineral density (BMD) correlates with the Hounsfield unit (HU) values obtained from computed tomography (CT). A retrospective analysis of 164 patients with degenerative diseases of the lumbar spine was performed. DXA was used to measure the BMD and T-scores of each patient's forearm. Lumbar CT was used to measure the CT HU values in three axial images of the L1-L4 vertebral bodies, and the average was calculated. According to the preoperative DXA T-score, they were divided into a normal group, an osteopenia group, and an osteoporosis group. Pearson's correlation coefficient was used to analyze the correlations of CT HU values in L1-L4 with BMD and T-scores in the corresponding vertebral body. The receiver operating characteristic curve (ROC) was used to determine the CT HU thresholds between osteoporosis and non-osteoporosis groups. Forearm BMD was moderately correlated with L1-L4 CT HU values (0.4<R2<0.6), and the correlation coefficients (R2) were 0.552, 0.578, 0.582, and 0.577, respectively (all p<0.001). Forearm T-scores were moderately correlated with L1-L4 CT HU values (0.4<R2<0.6), and the correlation coefficients (R2) were 0.595, 0.609, 0.605, and 0.605, respectively (all p<0.001). The thresholds of L1-L4 between the osteoporosis group (t ≤ -2.5) and the non-osteoporosis group (t>-2.5) were 110.0HU (sensitivity 74% and specificity 76%), 112.5HU (sensitivity 67% and 83% specificity), 92.4HU (81% sensitivity and 70% specificity), and 98.7HU (74% sensitivity and 78% specificity), respectively. Based on the moderate positive correlation between forearm DXA-measured BMD and HU values, forearm DXA provides a theoretical basis for evaluating lumbar vertebral bone mass. Preoperative forearm DXA may be useful in the formulation of surgical plans and the prevention of postoperative complications in patients with lumbar degenerative diseases.

Evaluation of osteoporosis and related factors and quality of life of patients with juvenile idiopathic arthritis and burnout status of parents

Background/Aim: Juvenile idiopathic arthritis (JIA) can negatively influence the lives of children and parents. Because it is a chronic disease, a complete recovery is not expected; additionally, children with JIA and their parents must cope with problems such as chronic pain, physical disability, school absenteeism, and social communication disorders. Children’s quality of life (QoL) may be affected by all these problems. Also, prolonged exposure to stress and failure to cope with stress may cause burnout syndrome in parents. The study aims to evaluate osteoporosis, QoL of children with JIA and the burnout status of caregivers. Methods: In this prospective, cross-sectional study, 30 patients aged 4–18 years, who were followed up for at least 6 months with the diagnosis of JIA, were included. Demographic, clinical, and laboratory characteristics were recorded retrospectively. Daily dietary calcium intake and daily activity levels were questioned. The patients’ bone mineral densities (BMD) were measured by the Dual Energy X-ray Absorptiometry method. Z scores below -2 were classified as the osteoporosis group, and those above -2 were classified as the non-osteoporosis group. The Turkish Pediatric Quality of Life Inventory validated and reliable in Turkish children was used to evaluate the QoL. Maslach Burnout Inventory was used to evaluate the burnout status of parents. Results: The mean age of patients was 12.6 (4.3) years. Osteoporosis was detected in 46.7% (n=14) cases. The mean age was higher (14.5 [3.7] in the osteoporosis group and 10.9 [4.1] in the non-osteoporosis group) (P=0.032) and the rate of oligoarticular JIA (7.1%), daily calcium intake (288 [168-456] mg/kg), and duration of activity (3 [2-6] hours) were lower in the osteoporosis group (P=0.039, P=0.043, P&lt;0.001, respectively). Among the QoL indicators, the physical health total score was the lowest. Emotional functionality scores decreased as the age increased (P=0.037) and increased as the BMD z-score increased (P=0.024). Emotional burnout, one of the parental burnout indicators, increased as the duration of illness increased (P=0.003), and the BMD z-score decreased (P=0.003). Depersonalization increased as the age increased (P=0.010) and the duration of the disease prolonged (P&lt;0.001) and increased as daily activity duration (P=0.032) and BMD z-score values decreased (P=0.002). Personal achievement decreased as the age increased (P=0.025) and the duration of illness (P=0.014), and the time spent watching television increased (P=0.030). Emotional exhaustion and depersonalization of the parents increased as the scores in any of the indicators of QoL decreased (P&lt;0.05 for each). The personal success of the parents increased as the scores in any of the indicators of QoL increased (P&lt;0.05 for each). All QoL indicators, except for social functionality and psychosocial health total score, were significantly lower in the group with osteoporosis. In addition, parents of children with osteoporosis had higher emotional burnout and depersonalization scores and lowered personal achievement scores (P&lt;0.05 for each). Conclusion: In the current study, we observed a decrease in the QoL of the children and burnout syndrome in the parents. It was found that the deterioration in children’s QoL indicators affected the burnout indicators of parents, and the presence of osteoporosis affected both QoL and parental burnout. Awareness of modifiable risk factors in children with JIA is very important. The disease and osteoporosis secondary to this disease can impair children's QoL and cause burnout in parents.