Prevalence and diagnosis experience of osteoporosis in postmenopausal women over 50: Focusing on socioeconomic factors

Association between secondhand smoke exposure and osteoporosis risk in postmenopausal women: a cross-sectional analysis of NHANES data

BACKGROUND

This study aimed to investigate the association between smoke exposure and the risk of osteoporosis in postmenopausal women in the United States, using data from the National Health and Nutrition Examination Survey (NHANES).

METHODS

A cross-sectional analysis was conducted using NHANES data from 2005 to 2010, 2013 to 2014, and 2017 to 2018. The study population consisted of postmenopausal women aged 18 years and older. Their bone health status was assessed using self-reported osteoporosis and dual-energy X-ray absorptiometry (DXA) measurements, smoke exposure was evaluated through serum cotinine levels, and multivariate logistic regression models were used to examine the association between smoke exposure and osteoporosis risk, adjusting for sociodemographic factors, health behaviours, and comorbidities.

RESULTS

The analysis comprised 4,140 postmenopausal women, and data analysis showed that active smoking was significantly associated with an increased risk of osteoporosis, with an adjusted odds ratio (OR) of 2.020 (95% confidence interval [CI]: 1.35-3.03), after adjusting for potential confounders. Additionally, age, race/ethnicity, socioeconomic status, marital status, and body mass index were identified as significant predictors of osteoporosis risk.

CONCLUSIONS

Smoke exposure, particularly active smoking, was associated with an elevated risk of osteoporosis among postmenopausal women in the United States. The findings underscore the need to address modifiable risk factors, such as smoking cessation, and implement targeted interventions to mitigate disparities in bone health.

Artificial intelligence in cardiovascular practice

ABSTRACT

Artificial intelligence (AI) is everywhere, but how is this expansive technology being used in cardiovascular care? This article explores common AI models, how they are transforming healthcare delivery, and important roles for clinicians, including advanced practice providers, in the development, adoption, evaluation, and ethical use of AI in cardiovascular care.

Artificial intelligence in cardiovascular practice

ABSTRACT

Artificial intelligence (AI) is everywhere, but how is this expansive technology being used in cardiovascular care? This article explores common AI models, how they are transforming healthcare delivery, and important roles for clinicians, including advanced practice providers, in the development, adoption, evaluation, and ethical use of AI in cardiovascular care.

Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS)

INTRODUCTION

In Iran, the assessment of osteoporosis through tools like dual-energy X-ray absorptiometry poses significant challenges due to their high costs and limited availability, particularly in small cities and rural areas. Our objective was to employ a variety of machine learning (ML) techniques to evaluate the accuracy and precision of each method, with the aim of identifying the most accurate pattern for diagnosing the osteoporosis risks.

METHODS

We analysed the data related to osteoporosis risk factors obtained from the Fasa Adults Cohort Study in eight ML methods, including logistic regression (LR), baseline LR, decision tree classifiers (DT), support vector classifiers (SVC), random forest classifiers (RF), linear discriminant analysis (LDA), K nearest neighbour classifiers (KNN) and extreme gradient boosting (XGB). For each algorithm, we calculated accuracy, precision, sensitivity, specificity, F1 score and area under the curve (AUC) and compared them.

RESULTS

The XGB model with an AUC of 0.78 (95% confidence interval [CI]: 0.74-0.82) and an accuracy of 0.79 (0.75-0.83) demonstrated the best performance, while AUC and accuracy values of RF were achieved (0.78 and 0.77), LR (0.78 and 0.77), LDA (0.78 and 0.76), DT (0.76 and 0.79), SVC (0.71 and 0.64), KNN (0.63 and 0.59) and baseline LR (0.72 and 0.82), respectively.

CONCLUSION

The XGB model had the best performance in assessing the risk of osteoporosis in the Iranian population. Given the disadvantages and challenges associated with traditional osteoporosis diagnostic tools, the implementation of ML algorithms for the early identification of individuals with osteoporosis can lead to a significant reduction in morbidity and mortality related to this condition. This advancement not only alleviates the substantial financial burden placed on the healthcare systems of various countries due to the treatment of complications arising from osteoporosis but also encourages health policies to shift toward more preventive approaches for managing this disease.

Efficacy of Recombinant Human Parathyroid Hormone 1-34 and Vitamin K2 Combination Therapy in Postmenopausal Osteoporosis

This study aimed to assess the efficacy and safety of a combined recombinant human parathyroid hormone 1-34 [rhPTH (1-34)] and vitamin K2 therapy versus vitamin K2 alone in the treatment of postmenopausal osteoporosis. A total of 77 postmenopausal osteoporosis patients were randomly divided into two groups. Patients in one group received vitamin K2 alone, while patients in the other group received a combination of rhPTH (1-34) and vitamin K2. Bone mineral density (BMD), electrolyte levels, pain scores, bone metabolism levels, and adverse drug reactions were compared pre- and post-treatment. Both two treatments improved BMD, blood calcium concentrations, pain scores, and increased osteocalcin and osteoprotegerin levels. Notably, the combined rhPTH (1-34) and vitamin K2 treatment demonstrated superior efficacy in improving BMD and bone metabolism markers. Furthermore, there was no significant difference in the incidence of adverse reactions between the two groups, indicating the safety of the combined treatment. In summary, the combined therapy of rhPTH (1-34) and vitamin K2 exhibited more potent efficacy in the treatment of postmenopausal osteoporosis, more effectively enhancing BMD and bone metabolism markers than vitamin K2 alone, without a significant increase in adverse reactions.

Effect of osteopenia and osteoporosis on failure of first and second dental implants: a retrospective observational study

PURPOSE

The present study evaluated osteopenia (OPN) and osteoporosis (OP) as risk factors for dental implant failure and repeat failure.

METHODS

We performed a retrospective study on over 100 randomly selected patients per analysis to determine the effect of health status, smoking status, sex, implant location and operative conditions on first and second (re-implantation) implant survival. Analyses were conducted first using chi-squared test, followed by multiple logistic regression for significant variables.

RESULTS

In the cohort examining the effect of myriad risk factors on second implant survival, it was found that OPN and OP greatly impacted implant survival, wherein patients with osteoporosis or osteopenia had significantly more implant failures (p = 0.0353). Sex and operative conditions had no effect on implant survival, while implant location showed a notable effect wherein significantly more failures occurred in the maxilla vs mandible (p = 0.0299). Upon finding that OPN and OP have a significant effect on second implant survival, we conducted an additional study focusing on the impact of health status. Based on the multiple logistical regression analysis, we found that OPN and OP are the most significant factor in first implant survival (p = 0.0065), followed by diabetes (p = 0.0297). Importantly, it was observed that early implant failure is also significantly correlated with osteoporosis (p = 0.0044).

CONCLUSION

We show here a marked relationship in which the risk of first and second implant failure are significantly higher in patients with osteoporosis and osteopenia.

Assessment of causal association between the socio-economic status and osteoporosis and fractures: a bidirectional Mendelian randomization study in European population

The correlation between socio-economic status (SES) and bone-related diseases garners increasing attention, prompting a bidirectional Mendelian randomization (MR) analysis in this study. Genetic data on SES indicators (average total household income before tax, years of schooling completed, and Townsend Deprivation Index at recruitment), femoral neck bone mineral density (FN-BMD), heel bone mineral density (eBMD), osteoporosis, and five different sites of fractures (spine, femur, lower leg-ankle, foot, and wrist-hand fractures) were derived from genome-wide association summary statistics of European ancestry. The inverse variance weighted method was employed to obtain the causal estimates, complemented by alternative MR techniques, including MR-Egger, weighted median, and MR-pleiotropy residual sum and outlier (MR-PRESSO). Furthermore, sensitivity analyses and multivariable MR were performed to enhance the robustness of our findings. Higher educational attainment exhibited associations with increased eBMD (β: .06, 95% confidence interval [CI]: 0.01-0.10, P = 7.24 × 10-3), and reduced risks of osteoporosis (OR: 0.78, 95% CI: 0.65-0.94, P = 8.49 × 10-3), spine fracture (OR: 0.76, 95% CI: 0.66-0.88, P = 2.94 × 10-4), femur fracture (OR: 0.78, 95% CI: 0.67-0.91, P = 1.33 × 10-3), lower leg-ankle fracture (OR: 0.79, 95% CI: 0.70-0.88, P = 2.05 × 10-5), foot fracture (OR: 0.78, 95% CI: 0.66-0.93, P = 5.92 × 10-3), and wrist-hand fracture (OR: 0.83, 95% CI: 0.73-0.95, P = 7.15 × 10-3). Material deprivation appeared to increase the risk of spine fracture (OR: 2.63, 95% CI: 1.43-4.85, P = 1.91 × 10-3). A higher FN-BMD level positively affected increased household income (β: .03, 95% CI: 0.01-0.04, P = 6.78 × 10-3). All these estimates were adjusted for body mass index, type 2 diabetes, smoking initiation, and frequency of alcohol intake. The MR analyses show that higher educational levels is associated with higher eBMD, reduced risk of osteoporosis and fractures, while material deprivation is positively related to spine fracture. Enhanced FN-BMD correlates with increased household income. These findings provide valuable insights for health guideline formulation and policy development.

Prevalence of osteoporosis and associated factors among people aged 50 years and older in the Madhesh province of Nepal: a community-based cross-sectional study

BACKGROUND

The high prevalence of osteoporosis has increased the economic burden on the health system globally. The burden of osteoporosis and its associated factors have not been adequately assessed in community settings in the Nepalese context thus far. Therefore, this study aimed to assess the prevalence of osteoporosis and its associated factors, lifestyle behaviors, and dietary calcium intake.

METHODS

A community-based cross-sectional study was conducted among 395 people aged 50 years and older in the Madhesh Province of Nepal between July 2022 and August 2023. The Osteoporosis Self-assessment Tools for Asians (OSTA) index was used to measure osteoporosis. A structured questionnaire was used to collect sociodemographic information, anthropometric data, lifestyle behavior, daily dietary calcium intake, and frequency of calcium-rich food consumption. A food frequency questionnaire and 24-hour recall methods were used to assess dietary intake. The chi-square test, binary logistic regression and Mann‒Whitney U test were applied to measure the association between predictors and the outcome of interest.

RESULTS

The prevalence of no risk, moderate risk and high risk of osteoporosis were 38.7%, 39%, and 22.3% respectively. The risk of osteoporosis was higher in females (aOR = 5.18, CI: 2.10-12.75, p < 0.001) and increased risk with advancing age (aOR = 32.49, CI: 14.02-75.28, p < 0.001). Similarly, underweight was associated with increased odds of having osteoporosis (aOR = 13.42, CI = 4.58-39.30, p < 0.001). The incidence of osteoporosis was strongly associated with daily calcium intake of 225 mg (100, 386).

CONCLUSION

This study revealed a high prevalence of osteoporosis among people aged 50 years and older due to the combined effect of being underweight and having inadequate calcium intake. Nutritional counselling services encourage people to consume sufficient calcium-rich food and adopt an appropriate lifestyle behaviours to maintain healthy body weight so that osteoporosis and osteoporotic fractures could be prevented. Further research can explore the impact of socioeconomic status and medical comorbidities on a large scale.

Socioeconomic and Other Risk Factors for Retear after Arthroscopic Surgery for Nontraumatic Rotator Cuff Tear

Background and Objectives: Few studies have investigated the socioeconomic factors associated with retear after rotator cuff repair. This study aimed to identify the risk factors, including socioeconomic factors, for rotator cuff retear in patients who underwent arthroscopic rotator cuff repair. Materials and Methods: This retrospective study included 723 patients diagnosed with full-thickness rotator cuff tears who underwent arthroscopic rotator cuff repair from March 2010 to March 2021. The outcome variable was rotator cuff retear observed on postoperative magnetic resonance imaging or ultrasonography. Sex, age, obesity, diabetes, symptom duration, and tear size were the independent variables. Socioeconomic variables included occupation, educational level, type of medical insurance, and area of residence. We compared patients with and without retear and estimated the effects of the independent factors on retear risk. Results: The mean age of the patients, symptom duration, and tear size were 62.4 ± 8.0 years, 1.8 ± 1.7 years, and 21.8 ± 12.5 mm, respectively. The age, type of medical insurance, diabetes, tear size, and symptom duration differed significantly between patients with and without retearing (p < 0.05). Age, occupation, type of medical insurance, diabetes, initial tear size, and symptom duration significantly affected the risk of retear. Patients who performed manual labor had a significantly higher retear rate (p = 0.005; OR, 1.95; 95% CI, 1.23-3.11). The highest retear risk was seen in patients with Medicaid insurance (p < 0.001; OR, 4.34; 95% CI, 2.09-9.02). Conclusions: Age, initial tear size, and symptom duration significantly affect retear risk after arthroscopic rotator cuff repair. Occupation and type of medical insurance were also risk factors for retear. Socioeconomically vulnerable patients may be at a greater risk of retear. Proactive efforts are required to expand early access to medical care.

Comparison of Metabolic Syndrome (MetS) Risk and Nutritional Status According to Menopause Age and the Impact of Socioeconomic Status on MetS Prevalence in Postmenopausal Women: A Cross-Sectional Study Based on the 8th Korea National Health and Nutrition Examination Survey (KNHANES)

The increased life expectancy and the occurrence of premature menopause prolong the mean postmenopausal phase in women's lifespans. Although the roles of poor socioeconomic status (SES), anthropometric characteristics, and nutritional status in premature menopause and the health of postmenopausal women are well understood, the differences in nutritional status and metabolic syndrome (MetS) prevalence in postmenopausal women depending on their menopause age are less explored. Furthermore, the association between SES and MetS risk in postmenopausal women is not studied. Thus, this study aimed to compare distinct nutritional status and MetS risk between women with premature menopause and natural menopause. Additionally, the association among SES, health-related lifestyle behaviors (HLBs), and MetS risk in postmenopausal women was studied. This study included 31,799 postmenopausal women from the 8th National Health and Nutrition Examination Survey (KNHANES). The relationship between disease prevalence and nutrient intake of the subjects was analyzed using analysis of variance (GLM), and Scheffé test was performed. Multiple logistic regression analysis was used to evaluate the association among SES, HLBs, and MetS as well as premature menopause. Women with premature menopause showed poor SES, anthropometric characteristics, and HLBs compared with women with natural menopause. Additionally, premature menopausal women had markedly lower intakes of protein, polyunsaturated fatty acid, n-3 fatty acid, and β-carotene, but higher intakes of energy, carbohydrate, saturated fatty acid, and sugar than women with natural menopause (p < 0.0001). Premature menopausal women showed significantly higher MetS prevalence by having hypertriglyceridemia (p < 0.0001), hypertension (p = 0.0145), and reduced HDL cholesterol levels (p < 0.0001) relative to natural menopausal women. Furthermore, our findings indicate a substantial link among SES, HLBs, and the risk of premature menopause. In postmenopausal women, deteriorating SES and HLBs appear to influence the prevalence of MetS. Notably, our study reveals that higher intakes of protein, calcium, phosphate, and iron are correlated with a lower risk of developing MetS. These observations suggest that proactive nutritional education for premature menopausal women is necessary to improve MetS risk and their nutritional status. Also, SES-dependent interventions regarding nutrition and HLBs in postmenopausal women will be significant to lower MetS risk, MetS-derived chronic disease, and mortality in postmenopausal women.

Differential patterns of lifestyle behaviors among low- and high-income postmenopausal women in Korea: a latent class analysis

BACKGROUND

Healthy lifestyle behaviors among postmenopausal women are important to prevent chronic diseases and improve health later in life. Heterogeneous lifestyle patterns may exist among postmenopausal women, and socioeconomic status (SES) is a critical determinant of lifestyle behaviors. However, little is known about distinct SES-specific patterns of lifestyle behaviors among postmenopausal women. Thus, this study used latent class analysis to identify subgroups of postmenopausal women with different health behaviors according to income and to examine the predictors of income-specific subgroups.

METHODS

We analyzed nationally representative data from the Eighth Korea National Health and Nutrition Examination Survey, collected in 2019 and 2020. We used nine lifestyles (i.e., current smoking and drinking, high-risk drinking, walking, muscle-strengthening exercise, sleep, vegetable and fruit intakes, and weight control efforts). We conducted a multiple-group latent class analysis using monthly household income as a proxy for SES. The monthly household income variable was calculated by standardizing monthly household income by the number of family members and then divided into quintiles. We classified the participants into low- (i.e., Q1 and Q2) and high-income (i.e., Q3, Q4, and Q5) groups.

RESULTS

Although the three-class models best fit the data of low- and high-income groups, we found differential patterns by income: (a) for low-income group, "relatively healthy (RH)," "lowest physical activity, insufficient fruit intake, and no intention to control weight," and "high-risk drinking and insufficient fruit intake" classes and (b) for high-income group, "RH," "lowest physical activity," "high-risk drinking and insufficient fruit intake and sleep" classes. The proportion of the RH class was largest in both groups. However, lifestyle patterns in low-income group showed multiple and unhealthy characteristics than those in high-income group.

CONCLUSIONS

This study suggests that different underlying lifestyle patterns exist in postmenopausal women with low- and high-income. To promote healthy behaviors among postmenopausal women, health professionals should develop and apply lifestyle interventions tailored to lifestyle pattern characteristics according to income.

The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis

Osteoporosis (OP) is commonly encountered, which is a kind of systemic injury of bone mass and microstructure, leading to brittle fractures. With the aging of the population, this disease will pose a more serious impact on medical, social, and economic aspects, especially postmenopausal osteoporosis (PMOP). This study is aimed at figuring out potential therapeutic targets and new biomarkers in OP via bioinformatics tools. After differentially expressed gene (DEG) analysis, we successfully identified 97 upregulated and 172 downregulated DEGs. They are mainly concentrated in actin binding, regulation of cytokine production, muscle cell promotion, chemokine signaling pathway, and cytokine-cytokine receiver interaction. According to the diagram of protein-protein interaction (PPI), we obtained 10 hub genes: CCL5, CXCL10, EGFR, HMOX1, IL12B, CCL7, TBX21, XCL1, PGR, and ITGA1. Expression analysis showed that Egfr, Hmox1, and Pgr were significantly upregulated in estrogen-treated osteoporotic patients, while Ccl5, Cxcl10, Il12b, Ccl7, Tbx21, Xcl1, and Itga1 were significantly downregulated. In addition, the analysis results of Pearson's correlation revealed that CCL7 has a strong positive association with IL12b, TBX21, and CCL5 and so was CCL5 with IL12b. Conversely, EGFR has a strong negative association with XCL1 and CXCL10. In conclusion, this study screened 10 hub genes related to OP based on the GEO database, laying a biological foundation for further research on new biomarkers and potential therapeutic targets in OP.

Sclerostin as a biomarker of physical exercise in osteoporosis: A narrative review

Osteoporosis, a disease of low bone mass, is characterized by reduced bone mineral density (BMD) through abnormalities in the microarchitecture of bone tissue. It affects both the social and economic areas, therefore it has been considered a lifestyle disease for many years. Bone tissue is a dynamic structure exhibiting sensitivity to various stimuli, including mechanical ones, which are a regulator of tissue sclerostin levels. Sclerostin is a protein involved in bone remodeling, showing an anti-anabolic effect on bone density. Moderate to vigorous physical activity inhibits secretion of this protein and promotes increased bone mineral density. Appropriate exercise has been shown to have an osteogenic effect. The effectiveness of osteogenic training depends on the type, intensity, regularity and frequency of exercise and the number of body parts involved. The greatest osteogenic activity is demonstrated by exercises affecting bone with high ground reaction forces (GRF) and high forces exerted by contracting muscles (JFR). The purpose of this study was to review the literature for the effects of various forms of exercise on sclerostin secretion.

Intra-Individual Changes in Total Procollagen-Type 1 N-terminal Propeptide in a Korean Adult Population

We aimed to investigate intra-individual changes in total procollagen-type 1 N-terminal pro-peptide (P1NP), a biochemical marker of bone turnover, to understand patient populations and test utilization in a Korean adult population while considering different definitions of least significant changes by sex, age, and medical institution type. Overall, 31,501 P1NP tests were performed on 24,644 Korean adults (3389 men and 21,255 women) with a median age of 68.9 years (interquartile range, IQR, 61.2–77.2) for osteoporosis evaluation. Among these, 1331 (5.4%) patients (127 men and 1204 women) underwent ≥3 follow-up P1NP measurements. The median follow-up period was 12.5 months (IQR, 11.7–15.9). Among 1331 patients, 64.4% experienced a decrease in P1NP and 35.6% experienced an increase in P1NP during follow-up. Among these, the proportion of patients who experienced serum P1NP changes ≥14.4% from baseline was 92.3%, and the proportion of patients who achieved ≤40 ng/mL (a median level of premenopausal Korean women) during follow-up was 31.8%. The overall proportion of patients that experienced a serum P1NP change exceeding the least significant change during follow-up was not significantly different by the type of medical institution.

KYMASIN UP Natural Product Inhibits Osteoclastogenesis and Improves Osteoblast Activity by Modulating Src and p38 MAPK

The imbalance in osteoblast (OB)-dependent bone formation in favor of osteoclast (OC)-dependent bone resorption is the main cause of loss of tissue mineral mass during bone remodeling leading to osteoporosis conditions. Thus, the suppression of OC activity together with the improvement in the OB activity has been proposed as an effective therapy for maintaining bone mass during aging. We tested the new dietary product, KYMASIN UP containing standardized Withania somnifera, Silybum marianum and Trigonella foenum-graecum herbal extracts or the single extracts in in vitro models mimicking osteoclastogenesis (i.e., RAW 264.7 cells treated with RANKL, receptor activator of nuclear factor kappa-Β ligand) and OB differentiation (i.e., C2C12 myoblasts treated with BMP2, bone morphogenetic protein 2). We found that the dietary product reduces RANKL-dependent TRAP (tartrate-resistant acid phosphatase)-positive cells (i.e., OCs) formation and TRAP activity, and down-regulates osteoclastogenic markers by reducing Src (non-receptor tyrosine kinase) and p38 MAPK (mitogen-activated protein kinase) activation. Withania somnifera appears as the main extract responsible for the anti-osteoclastogenic effect of the product. Moreover, KYMASIN UP maintains a physiological release of the soluble decoy receptor for RANKL, OPG (osteoprotegerin), in osteoporotic conditions and increases calcium mineralization in C2C12-derived OBs. Interestingly, KYMASIN UP induces differentiation in human primary OB-like cells derived from osteoporotic subjects. Based on our results, KYMASIN UP or Withania somnifera-based dietary supplements might be suggested to reverse the age-related functional decline of bone tissue by re-balancing the activity of OBs and OCs, thus improving the quality of life in the elderly and reducing social and health-care costs.

Sex-specific bi‑directional association between osteoporosis and depression from the national representative data of South Korea

Both osteoporosis and depression are major health threats, but their interrelationship is not clear. This study elucidated the associations between osteoporosis and depression while considering the temporal sequence of the diagnoses. In this cross-sectional study, data were extracted from the Korean National Health and Nutrition Examination Surveys (2007-2009 and 2015-2019, n = 29,045). Osteoporosis and depression were defined by diagnoses thereof. The odds ratio (OR) of the incident osteoporosis among depression patients without a history of osteoporosis was calculated by multivariable logistic regression adjusted for potential confounders. A reverse association was also assessed. Participants were additionally stratified by their sex and age. As a result, male depression patients aged under 50 years showed higher ORs for osteoporosis than those without depression (OR 9.16, 95% CI 1.78-47.18). Female osteoporosis patients showed lower ORs for depression than those without osteoporosis (OR 0.71, 95% CI 0.58-0.88), especially in women aged 50 years and older. In the sensitivity analysis, the same results were obtained in women by their menopause status. Depression has a strong positive association with the occurrence of osteoporosis in young male adults, and osteoporosis has a negative association with the occurrence of depression in female adults.

Factors Influencing the Size of a Non-Traumatic Full-Thickness Rotator Cuff Tear: Focusing on Socioeconomic Factors

This study aimed to identify the risk factors for non-traumatic rotator cuff tears in Korean adult patients who underwent surgical treatment, focusing on socioeconomic factors. A retrospective study was conducted with 659 patients who were diagnosed with a full rotator cuff tear and underwent surgical treatment. The outcome variable was the rotator cuff tear size (mm), as indicated by preoperative magnetic resonance imaging. Socioeconomic variables included occupation, education level, insurance type, and residential area. Univariate analyses were used to evaluate the relation between tear size and independent variables, and multivariate regression was used to estimate the effects of socioeconomic factors on tear size after adjusting for other variables. Significant differences were found in mean tear size according to age, occupation, residence area, and symptom duration (p < 0.05) in multivariate regression analysis. Rural residents had a 2.12 mm larger tear size than urban residents. Compared to National Health Insurance patients, the tear size of Medicaid beneficiaries was significantly larger (6.79 mm) in urban areas. The larger the rotator cuff tear, the greater the risk of retear and poor shoulder function. Therefore, policy efforts are required to expand access to medical care for the vulnerable.

Quality of life and patient satisfaction with raloxifene/cholecalciferol combination therapy in postmenopausal women

This study was performed to evaluate quality of life (QOL) and patient satisfaction with raloxifene/cholecalciferol combination therapy in postmenopausal women with low bone mass. This multicenter, prospective, noninterventional observational study included 3907 postmenopausal women who received a combination of raloxifene 60 mg and cholecalciferol 800 IU daily to treat or prevent osteoporosis. Changes in QOL and patient satisfaction were evaluated after 3 and 6 months of treatment. In addition, the safety profile was assessed. Mean age was 67.7 ± 9.3 years old. QOL, assessed by European Quality of life instrument 5 Dimensions (EQ-5D) index, improved significantly after 3 months (0.81 ± 0.11, P < 0.001) and 6 months (0.82 ± 0.11, P < 0.001) of treatment compared to the baseline (0.78 ± 0.14). Improvement in QOL was also significant regardless of previous regimens both in women who were switched from other drugs (bisphosphonates or selective estrogen receptor modulators) and in women who received the study drug for the first time (P < 0.001 for all comparisons). Percentage of women satisfied with the effects (from 37.3 to 67.7%, P < 0.001) and convenience (from 42.8 to 74.1%, P < 0.001) of treatment compared to previous medication significantly increased after 6 months of treatment. In addition, serious adverse drug reactions did not occur, and hot flushes were observed only in 12 women (0.3%). Combination therapy with raloxifene and cholecalciferol significantly improves quality of life with no serious adverse events and high patient satisfaction at 6 months. Our real-world data suggest that this regimen is a promising option for postmenopausal women with low bone mass.

The Association between Treatment with Bisphosphonates and the Risk of Atrial Fibrillation: A Meta-Analysis of Observational Studies

Background: Osteoporosis is one of the most common diseases of the skeletal system, particularly occurring in older adults. Bisphosphonates are frequently used to treat osteoporosis and prevent bone fractures. Studies evaluating the association between treatment with bisphosphonate and the risk of atrial fibrillation have reported conflicting results. This meta-analysis of observational studies was performed to assess this association.Methods: Databases were searched to find relevant observational studies, and the identified articles were selected according to the selection criteria. Sensitivity and subgroup analysis based on various confounding factors were performed. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of atrial fibrillation were estimated using a random-effects model.Results: We selected 12 studies, including four case-control and eight cohort studies, for the meta-analysis. Assessment of the estimated effect size yielded an OR of 1.171 (95% CI, 1.011–1.356; P=0.035), with substantial heterogeneity (I 2 =84.74%, P<0.001). When the studies were excluded one-after-another, the pooled OR remained unchanged in only six studies. In addition, subgroup analyses found that treatment with bisphosphonates was positively associated with the risk of atrial fibrillation in studies performed in Western countries (OR, 1.263; 95% CI, 1.092–1.462) and lower-quality studies (OR, 1.214; 95% CI, 1.035–1.423). No publication bias was observed.Conclusion: This meta-analysis showed that treatment with bisphosphonates may be associated with an increased risk of atrial fibrillation. Therefore, bisphosphonates should be carefully prescribed to patients at a high risk of atrial fibrillation.

Influence of Residence Area and Basic Livelihood Conditions on the Prevalence and Diagnosis Experience of Osteoporosis in Postmenopausal Women Aged over 50 Years: Evaluation Using Korea National Health and Nutrition Examination Survey Data

Patients with osteoporosis are asymptomatic and are at risk for fractures. Therefore, early detection and interventions are important. We found that a population with a low socioeconomic status living in rural areas was reported to have a high osteoporosis prevalence but a relatively low diagnosis rate. Research on the disparity of osteoporosis prevalence and treatment from the socioeconomic perspective was conducted. This study aimed to investigate the influence of residence area and basic livelihood conditions on osteoporosis prevalence and diagnosis in postmenopausal women aged over 50 years. The cross-sectional data of 1477 postmenopausal women aged over 50 years obtained from the Korea National Health and Nutrition Examination Survey V-2 were analyzed. Univariate analyses were performed to calculate the prevalence and diagnosis rate according to risk factor categories. A multivariate logistic regression analysis was performed to identify the influence of residence area and basic livelihood conditions after controlling for other factors. The osteoporosis prevalence in basic livelihood beneficiaries (53.7%) and rural area residents (41.9%) was higher than that in non-beneficiaries (33.1%) and urban area residents (31.8%). There was no significant difference in the diagnosis rates in relation to the basic livelihood conditions or residence areas. The adjusted odds ratio for the prevalence among the beneficiaries living in rural areas was 2.08 (95% confidence interval: 1.06-4.10). However, the odds ratio for diagnosis was not significantly different. Earlier screening examination policies for osteoporosis in postmenopausal women with a low socioeconomic status living in rural areas are needed.

Analyses of the relationship between hyperuricemia and osteoporosis

The aim of the present study was to evaluate the association between hyperuricemia and osteoporosis in a Korean population. Data from participants of the Korean Genome and Epidemiology Study who were ≥ 40 years old were collected from 2004 to 2016. Among 173,209 participants, 11,781 with hyperuricemia (> 7.0 mg/dL in men and > 6.0 mg/dL in women) and 156,580 controls were selected based on serum measurements. Odds ratios (ORs) of osteoporosis between individuals with hyperuricemia and controls were analyzed using a logistic regression model. In the adjusted model, age, sex, income group, body mass index, smoking, alcohol consumption, hypertension, diabetes mellitus, hyperlipidemia history and nutritional intake were adjusted. The adjusted OR (aOR) of osteoporosis was 0.79 [95% confidence interval (CI) = 0.71–0.87, P < 0.001]. In subgroup analyses according to age and sex, statistical significance was observed in men > 60 years old and in women > 50 years old. In another subgroup analysis according to past medical history, significant differences were found according to hypertension (aOR = 0.83, 95% CI = 0.73–0.94, and 0.75, 95% CI = 0.64–0.87), diabetes mellitus (aOR = 0.77, 95% CI = 0.69–0.86), and hyperlipidemia (aOR = 0.74, 95% CI = 0.61–0.89, and 0.81, 95% CI = 0.72–0.91). This study demonstrated that hyperuricemia was associated with a decreased risk of osteoporosis.