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

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

Demographics and medical burden of osteogenesis imperfecta: a nationwide database analysis.

The epidemiological data on osteogenesis imperfecta (OI) in Asia is limited. This study, representing the first comprehensive epidemiological investigation on OI in Taiwan, reveals high medical resource utilization and underscores the importance of early diagnosis to enhance care quality. INTRODUCTION: This study examines osteogenesis imperfecta, a hereditary connective tissue disorder causing pediatric fractures and limb deformities, using a nationwide database from Taiwan to analyze clinical features and medical burden. METHODS: The study identified validated OI patients from the Catastrophic Illness Registry in the National Health Insurance Research Database from 2008 to 2019. Demographic data and medical resource utilization were analyzed. A multivariate Cox model assessed the influence of sex, validation age, and comorbidities. RESULTS: 319 OI patients (M/F = 153/166) were identified, with 58% validated before age 20. Prevalence and incidence were 0.8-1.3/100,000 and 0.02-0.09/100,000, respectively, with higher rates in the pediatric demographic. In the study period, 69.6% of the patients had admission history, primarily to pediatric and orthopedic wards. The median admission number was 3, with a median length of stay of 12 days and a median inpatient cost of approximately 3,163 USD during the period. Lower limb fractures were the main reason for hospitalization. 57% of OI patients received bisphosphonate treatment. The leading causes of mortality were OI-related deaths, neurovascular disease, and cardiovascular disease. The median age of validation in the non-survival group was significantly higher compared to the survival group (33 vs. 14 years), and patients validated during childhood required more inpatient fracture surgeries than those validated during adulthood. CONCLUSION: This study provides comprehensive real-world evidence on the clinical characteristics and high medical resource utilization of OI patients in a low prevalence region like Taiwan. Early diagnosis is crucial for improving care quality and enhancing health outcomes.

Advanced Sampling Technique in Radiology Free-Text Data for Efficiently Building Text Mining Models by Deep Learning in Vertebral Fracture.

This study aims to establish advanced sampling methods in free-text data for efficiently building semantic text mining models using deep learning, such as identifying vertebral compression fracture (VCF) in radiology reports. We enrolled a total of 27,401 radiology free-text reports of X-ray examinations of the spine. The predictive effects were compared between text mining models built using supervised long short-term memory networks, independently derived by four sampling methods: vector sum minimization, vector sum maximization, stratified, and simple random sampling, using four fixed percentages. The drawn samples were applied to the training set, and the remaining samples were used to validate each group using different sampling methods and ratios. The predictive accuracy was measured using the area under the receiver operating characteristics (AUROC) to identify VCF. At the sampling ratios of 1/10, 1/20, 1/30, and 1/40, the highest AUROC was revealed in the sampling methods of vector sum minimization as confidence intervals of 0.981 (95%CIs: 0.980-0.983)/0.963 (95%CIs: 0.961-0.965)/0.907 (95%CIs: 0.904-0.911)/0.895 (95%CIs: 0.891-0.899), respectively. The lowest AUROC was demonstrated in the vector sum maximization. This study proposes an advanced sampling method, vector sum minimization, in free-text data that can be efficiently applied to build the text mining models by smartly drawing a small amount of critical representative samples.

Role of age, menopausal status, and symptoms in midlife women: Examination of sleep patterns and rest-activity circadian rhythms.

BACKGROUND: Midlife women experience menopausal transition at different ages with a variety of symptoms. This study aimed to identify the effects of age, menopausal status, and symptoms in women on their actigraphy-based sleep patterns and circadian rhythms. METHODS: A total of 87 women aged 45-60 from the community and a gynecology clinic in Taiwan who had their sleep and circadian rhythms recorded with a 7-day actigraphy were analyzed. Multiple linear regression was used to estimate the association of age, menopausal status, and symptoms with sleep parameters and circadian rhythms. RESULTS: A sleep efficiency below 85 % was observed in 46.0 % of women, and those with severe somatic-vegetative or psychological symptoms tended to have problems with sleep latency (ß = 0.22 and ß = 0.42, respectively) and efficiency (ß = -0.26 and ß = -0.36, respectively). Women with more severe urogenital symptoms only experienced significantly longer sleep latency (ß = 0.33). There was a weak correlation between circadian rhythms and symptoms. Additionally, perimenopausal (ß = 0.30 and ß = 0.35, respectively) and late postmenopausal (ß = 0.67 and ß = 0.59, respectively) women had higher relative amplitude and stability in circadian rhythms than premenopausal women. Age had no significant effect on sleep parameters or circadian rhythms. CONCLUSIONS: Premenopausal women had the most unstable day-to-day rhythms compared to their peri- and postmenopausal counterparts. Women with higher somatic-vegetative, psychological, and urogenital symptoms showed greater sleep problems. Psychological symptoms (e.g., depression, irritability, anxiety, exhaustion) were the strongest predictors for all sleep parameters. The mechanisms underlying these associations warrant investigation.

Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women.

While FRAX with BMD could be more precise in estimating the fracture risk, DL-based models were validated to slightly reduce the number of under- and over-treated patients when no BMD measurements were available. The validated models could be used to screen for patients at a high risk of fracture and osteoporosis. PURPOSE: Fracture risk assessment tool (FRAX) is useful in classifying the fracture risk level, and precise prediction can be achieved by estimating both clinical risk factors and bone mineral density (BMD) using dual X-ray absorptiometry (DXA). However, DXA is not frequently feasible because of its cost and accessibility. This study aimed to establish the reliability of deep learning (DL)-based alternative tools for screening patients at a high risk of fracture and osteoporosis. METHODS: Participants were enrolled from the National Bone Health Screening Project of Taiwan in this cross-sectional study. First, DL-based models were built to predict the lowest T-score value in either the lumbar spine, total hip, or femoral neck and their respective BMD values. The Bland-Altman analysis was used to compare the agreement between the models and DXA. Second, the predictive model to classify patients with a high fracture risk was built according to the estimated BMD from the first step and the FRAX score without BMD. The performance of the model was compared with the classification based on FRAX with BMD. RESULTS: Approximately 10,827 women (mean age, 65.4 ± 9.4 years) were enrolled. In the prediction of the lumbar spine BMD, total hip BMD, femoral neck BMD, and lowest T-score, the root-mean-square error (RMSE) was 0.099, 0.089, 0.076, and 0.68, respectively. The Bland-Altman analysis revealed a nonsignificant difference between the predictive models and DXA. The FRAX score with femoral neck BMD for major osteoporotic fracture risk was 9.7% ± 6.7%, whereas the risk for hip fracture was 3.3% ± 4.6%. Comparison between the classification of FRAX with and without BMD revealed the accuracy rate, positive predictive value (PPV), and negative predictive value (NPV) of 78.8%, 64.6%, and 89.9%, respectively. The area under the receiver operating characteristic curve (AUROC), accuracy rate, PPV, and NPV of the classification model were 0.913 (95% confidence interval: 0.904-0.922), 83.5%, 71.2%, and 92.2%, respectively. CONCLUSION: While FRAX with BMD could be more precise in estimating the fracture risk, DL-based models were validated to slightly reduce the number of under- and over-treated patients when no BMD measurements were available. The validated models could be used to screen for patients at a high risk of fracture and osteoporosis.

Cost and effectiveness analyses of the anti-osteoporosis medication in patients with hip fracture in Taiwan: A population-based national claims database analysis.

BACKGROUND: Real-world cost and effectiveness analyses of the anti-osteoporosis medications (AOM) using a nationwide database in Asia were limited. The aim of this study was to evaluate the cost and effectiveness of AOMs therapy under the reimbursement of National Health Insurance in Taiwan. METHODS: Using Taiwan's National Health Insurance Research Database, patients who had hospitalization due to incident hip fractures with related operation between 2008 and 2017 were identified as our study population. Patients who initiated AOMs within 1 year post incident hip fracture were matched with those did not according to the propensity score. The direct medical cost and subsequent fracture within three years were estimated. Statistically significant differences of risk for subsequent fracture between the AOM and non-AOM groups were estimated using the COX proportional hazards model. All costs were presented as New Taiwan Dollars (NTD). RESULTS: There were 27,357 new hip fracture patients who initiated AOMs, and 76% of them were women with a mean age of 77.7 years. Among patients ages ≥70 who encountered hip fractures, those who initiated AOMs experienced fewer non-vertebral fractures (HR = 1.07 (1.02-1.13), p = 0.0114 for those ages 70-79 years old; HR = 1.11 (1.06-1.17), p < 0.0001 for those ages ≥80 years) and mortality (HR = 1.18 (1.14-1.22), p < 0.0001 for those ages 70-79; HR = 1.20 (1.16-1.23), p < 0.0001) within 3 years post incident fracture; meanwhile, consuming fewer medical resources in the national insurance healthcare system. (Increment cost = -16011.2 NTD, p = 0.0248 for those ages 70-79; Increment cost = -17257.9 NTD, p = 0.0032 for those ages ≥80 years) CONCLUSION: Overall, under Taiwan's national health insurance, the use of AOMs is cost-saving, especially in the population aged ≥70 years. The finding of this research was valuable for policymakers in considering healthcare policy promotion and resource allocation in the future.

Osteoporosis care after hip fracture: Observation from national health insurance database and fracture liaison services.

BACKGROUND: The objective of this research was to report the trend of osteoporosis care after hip fractures from usual care (UC) and to compare the quality of care with those who received fracture liaison services (FLSs). METHODS: Data on osteoporosis care for patients with hip fracture were acquired from the National Health Insurance claims (UC group), and surveys from FLS programs (FLS group). A total of 183,300 patients receiving UC and 3010 patients receiving FLS were studied. For the two groups, common osteoporosis care indicators, such as bone mineral density (BMD) testing rate, antiosteoporosis medication commencement rate, and adherence rate were described. RESULTS: There were 2488 participants (82.7%) in the FLS group who completed Dual-energy X-ray absorptiometry (DXA) in 8 weeks, 155 (5.1%) who finished it between 8 weeks and 1 year. Even in 2018, when the DXA completion rate was at its highest, the completion rate in the UC group was only 23.5%. In terms of medication commencement, 2372 FLS patients (78.8%) received treatment within 3 months. Only 24.9% of the UC patients received antiosteoporosis medication within 3 months. Furthermore, antiosteoporosis medication adherence rate was 92.2% after 1 year and 83.9% after 2 years in the FLS group, but these were only 66.5% and 42.7%, respectively, in the UC group. CONCLUSION: Patients who received FLS had more timely BMD exams, antiosteoporosis medication treatment, and higher adherence to antiosteoporosis therapy than those who received UC. The discrepancy in rates of continuing treatment became more significant over time between both groups.

Effect of SGLT2 inhibitors versus DPP4 inhibitors on major and non-major osteoporotic fracture risks among general and high-risk type 2 diabetes patients: A nationwide retrospective cohort study.

AIMS: To retrospectively analyze the association of sodium-glucose cotransporter-2 inhibitors (SGLT2is) versus dipeptidyl peptidase-4 inhibitors (DPP4is) with a range of major and non-major fracture events, and explore heterogeneous treatment effect among high-risk patient subgroups. METHODS: Newly stable SGLT2i or DPP4i users in 2017 were identified in Taiwan's National Health Insurance Research Database and followed up until a fracture occurred, loss of follow-up, death, or December 31, 2018, whichever came first. Outcomes included composite major and non-major fractures and individual components in major fractures. Cox model and restricted mean survival time (RMST) analyses were utilized to assess the treatment effect on fractures. RESULTS: 21,155 propensity-score-matched SGLT2i and DPP4i users were obtained. Over 2 years, the hazard ratio and RMST difference for major fracture with SGLT2i versus DPP4i use were 0.89 (95% CI, 0.80, 1.00) and 1.51 (-0.17, 3.17) days, respectively, and those for non-major fracture with SGLT2i versus DPP4i use were 0.89 (0.81, 0.98) and 2.44 (0.47, 4.37) days, respectively. A 180-day lag time analysis for fracture outcomes showed consistent results with primary findings. A SGLT2is-associated harmful effect on major fractures (but not on non-major fractures) was observed among female patients and those with a diabetes duration of ≥ 8 years, prior fractures, and established osteoporosis. CONCLUSION: This study adds supporting real-world evidence for SGLT2is-associated bone safety for a wide range of fractures, which promotes the rational use of SGLT2is in routine care and highlights the importance of the close monitoring of patients with high fracture risks to maximize treatment benefits while reducing undesirable effects.

Drug adherence and treatment duration for denosumab and mortality risk among hip fracture patients.

This study aimed to assess the impact of drug adherence and treatment duration for denosumab on mortality risk after hip fracture surgery. Lower all-cause mortality risk was associated with drug intervals of 7 months or less and longer treatment duration. The study highlights the importance of proper denosumab administration. PURPOSE: Prescription of anti-osteoporotic medications (AOMs) after osteoporotic hip fracture may increase bone mineral density (BMD) and decrease mortality risk. However, few studies have been conducted on drug adherence and treatment duration for denosumab, a popular choice among AOMs. This study aimed to assess the impact of denosumab adherence and treatment duration on the mortality risk of hip fracture patients after surgery. METHODS: We conducted a cohort study using nationwide population data from National Health Insurance Research Database (NHIRD) in Taiwan. Patients newly diagnosed with osteoporosis and hip fracture between 2008 and 2019 who used denosumab after surgery were included. We assessed drug adherence, treatment duration, and other parameters associated with patient outcomes. RESULTS: A total of 21,316 patients diagnosed with osteoporotic hip fractures were included. Compared with a > 7-month drug interval for denosumab, an interval of ≤ 7 months led to lower all-cause mortality risk (hazard ratio (HR): 0.60, 95% confidence interval (CI): 0.57 ~ 0.64). Patients with denosumab treatment for over 1, 2, and 3 years had lower all-cause mortality risk (HR&CI: 0.68 (0.64 ~ 0.73), 0.48 (0.43 ~ 0.53), 0.29 (0.26 ~ 0.33)) than those with treatment duration < 1 year. Analysis after excluding short-term death yielded similar results. Analysis of causes of death also showed that good adherence and longer duration were associated with reduced mortality due to cancer and cardiovascular disease. CONCLUSION: Better drug adherence and longer duration of denosumab treatment are associated with lower all-cause mortality risk among hip fracture patients after surgery. Our study highlights the benefits of a proper time interval of denosumab administration. These findings provide important insight into management of osteoporotic hip fractures and may inform clinical practice and development of guidelines.

The real-world adherence of the first-line anti-osteoporosis medications in Taiwan: Visualize the gap between reality and expectations.

BACKGROUND: Adherence to anti-osteoporosis medications (AOMs) is crucial. National Health Insurance (NHI) in Taiwan has its own rules of reimbursement rule for AOMs. The midterm adherence remained inconclusive. Here we investigated the adherence according to the initially used AOMs, for three consecutive years. METHODS: The nationwide cohort study from 2008 to 2018, based on Taiwan's National Health Insurance Research Database, included 336,229 patients. Their adherence, indicated by medication possession ratio (MPR), to the initial AOMs was investigated yearly for three consecutive years. The overall MPRs (OMPR), including the switched AOMs, were also calculated in the first year. The Sankey diagram further visualized the patient flows toward different adherence according to the initial AOMs. RESULTS: The OMPR in the first year improved if the patients used AOMs with longer dosing intervals. 100%, 68.9%, 40.7%, and 34.0% of the patients started the treatment with zoledronate, denosumab, alendronate, and raloxifene, respectively, had OMPR ≥75% in the first year. In the 3rd year, only 20.89%, 24.13%, and 12.83% of the patients continuously treated with zoledronate, denosumab, and alendronate, respectively, had MPR ≥75%. From the Sankey diagram, we also observed that patients who had poor adherence at one year were inclined to have poor adherence or discontinue antiosteoporosis treatment in the next year. CONCLUSION: The initial AOMs and the observed adherence may provide clues for optimizing patient treatment. The real-world adherence in Taiwan was far from satisfactory in our study.

Eleven years secular trend of the initiation of anti-osteoporosis medications and subsequent fractures in Taiwan: From 2008 to 2018.

BACKGROUND: Osteoporosis is a common metabolic bone disease that benefits from many newly developed anti-osteoporosis medications (AOMs). Reimbursement policies need to allocate medical budgets properly based on evidence-based data. This study aimed to investigate the 11-year secular trend, focusing on older age and males in this adjustment wave of the National Health Insurance reimbursement. METHODS: We adopted a nationwide cohort from Taiwan's National Health Insurance Research Database (NHIRD). Patients undergoing newly initiated AOMs from 2008 to 2018 were included. The AOMs in this study included denosumab, zoledronate, ibandronate, alendronate, raloxifene, and risedronate. Patients <50 years, pathological fractures, missing data, and two AOMs prescribed were excluded. The real-world trends related to subsequent fragility fracture and death within 1 and 3 years were used to evaluate the potential effects due to revision of reimbursement policies. RESULTS: Of 393,092 patients, among them, 336,229 patients met the criteria, whose mean age ranged from 73.3 to 74.4 years, and nearly 80% were female. Further analysis showed a steady increase of AOMs from 5567 (17.1%) and 8802 (27.0%) in 2008-6697 (18.3%) and 10,793 (29.5%) in 2018 for males and 80+ years respectively. The subsequent fragility fracture within one and three years post AOMs initiation was 5.81% and 11.80% in 2018. CONCLUSION: This study showed an immediate drop in AOMs prescription after the implementation of a new stricter reimbursement policy. It took 5 years to return the annual prescription number.

Diagnostic accuracy of algorithms to define incident and second hip fractures: A Taiwan validation study.

BACKGROUND: Previous epidemiological researchers have used various algorithms to identify a second hip fracture; however, there has been no validation of these algorithms to date. This study aimed to verify existing algorithms for identifying second hip fracture under the International Classification of Diseases diagnostic coding systems. Furthermore, we examined the validity of two newly proposed algorithms that integrated the concept of periprosthetic fractures and laterality of the ICD-10 coding system. METHODS: Claims data of patients hospitalized for hip fracture from National Taiwan University Hospitals between 2007 and 2020 were retrieved. Hip fracture was confirmed by 2 orthopaedic surgeons with medical records and imaging data as gold standards. The validity of 9 existing and 2 newly proposed algorithms for identifying second hip fracture was evaluated. RESULTS: The positive predictive value (PPV) range between 84% and 90% in existing algorithms for identifying second hip fractures. Noteworthy, the longer time interval for discrimination resulted in slightly increased PPV (from 87% to 90%), while decreased sensitivity noticeably (from 87% to 72%). When considering the information about periprosthetic fracture, the PPV increased to 91% without diminished sensitivity. The PPV of the newly proposed ICD-10-specific algorithm was 100%. CONCLUSION: Algorithms integrated clinical insights of periprosthetic fractures and laterality concept of ICD-10 coding system provided satisfactory validity and help precisely define second hip fracture in future database research.

Constraining in reimbursement criteria and the adherence to anti-osteoporosis medications (AOMs) in Taiwan: Urbanization makes the difference.

BACKGROUND: The Bureau of National Health Insurance in Taiwan implemented a new reimbursement scheme incorporating bone mineral density (BMD) criteria on Jan. 1, 2011. This study aimed to investigate a real-life 11-year secular trend of adherence in new AOMs users and evaluated the change of adherence to AOMs therapy in different urbanization areas after reimbursement criteria were restrained. METHODS: We used Taiwan's National Health Insurance Research Database to identify new AOMs users as our study population. The AOMs in this study included denosumab, zoledronate, ibandronate, alendronate, raloxifene, and risedronate. The first prescription date of AOMs was defined as the cohort entry date. The adherence rates within one year after initiation were assessed. RESULTS: High adherence (≥75%) in the first year increased markedly after the new reimbursement scheme in 2011, changing from 31.8% in 2008, and 41.7% in 2011 to 54.2% in 2018. On the other hand, low adherence (<25%) decreased from 38.8% in 2008 to 14.6% in 2018. In addition, the switchers increased from 5.9% in 2008 to 9.3% in 2018, indicating a more flexible choice of AOMs. The proportion of high adherence to AOMs was highest in high-urbanization areas, and the proportion increased about two times from 30% in 2008 to 60% in 2018. CONCLUSION: The implementation of new reimbursement criteria in 2011 was associated with increased adherence to AOMs and the increase was most apparent in high-urbanization areas.

Epidemiology and clinical impact of osteoporosis in Taiwan: A 12-year trend of a nationwide population-based study.

BACKGROUND: Osteoporosis increases the fracture and mortality risk of patients and has a higher disease burden than some cancers. Therefore, global concerns regarding the prevention and treatment of osteoporosis have been raised. However, fast-aging Taiwan lacks national epidemiological data on osteoporosis in recent years. We aimed to establish and update epidemiological data on osteoporosis by analyzing national data from 2008 to 2019. METHODS: We estimated the prevalence and incidence of osteoporosis in patients aged ≥50 years based on claims data from Taiwan's National Health Insurance database from 2008 to 2019. We also analyzed the key parameters of fracture care (anti-osteoporosis medication use, bone mineral density examination rate, and length of hospital stay) to understand the secular trend of management and related clinical outcomes (imminent refracture rate and mortality). RESULTS: The number of prevalent osteoporosis increased from 2008 to 2015 and remained constant until 2019; however, the age-standardized prevalence and incidence rates declined from 2008 to 2019 (3.77%-2.91% and 2.08%-1.02%, respectively). The overall incidence rates of hip and spine fractures decreased significantly by 34% and 27%, respectively. For patients with hip and spine fractures, the immanent refracture rates were 8.5% and 12.9% and the 1-year mortality rate remained stable at approximately 15% and 6%, respectively. CONCLUSION: The age-standardized prevalence and incidence rates decreased remarkably from 2008 to 2019, while the number of prevalent osteoporosis remained steady. Patients with hip fractures encountered a high 1-year mortality rate, while the risk of imminent refracture was notable for patients with spine fractures.

Association between bisphosphonate use and stroke risk: a meta-analysis.

Previous studies have suggested that bisphosphonates may reduce stroke risk. This meta-analysis, which included 21 studies with 741,274 participants, revealed that bisphosphonates might be associated with lower stroke risk. However, evidence derived from randomized controlled trials identified no statistically significant association. Future high-quality studies are still required to determine causality. PURPOSE: Whether bisphosphonates may reduce the risk of stroke remains inconclusive. We conducted a systematic review and meta-analysis to evaluate the association between bisphosphonate use and the risk of stroke based on up-to-date evidence. METHODS: We searched for studies evaluating the effects of bisphosphonate on the risk of stroke from inception until January 3, 2022, on PubMed, Embase, Scopus, and Cochrane libraries and updated our search until August 22, 2022, using PubMed to identify any new potential published studies. Two or more reviewers independently screened articles, extracted data, and assessed the study quality. We retrieved the data to synthesize the pooled relative risk (RR) of stroke associated with bisphosphonate use compared with controls; random-effects models were used for meta-analysis. RESULTS: A total of 21 studies (7 randomized controlled trials [RCTs] and 14 observational studies) involving 741,274 participants were included in our meta-analysis. Overall, bisphosphonate use was associated with a lower risk of stroke, but the result was only borderline significant (pooled RR = 0.87, 95% confidence interval [CI]: 0.76-0.99, p = 0.048), and high between-study heterogeneity was found (I2 = 83.7%). Subgroup analyses showed that the evidence derived from RCTs suggested no significant association between bisphosphonate use and stroke risk (pooled RR = 0.93, 95% CI: 0.76-1.13, p = 0.462; I2 = 13.4%). CONCLUSION: Our results suggest that bisphosphonate use is associated with a lower risk of stroke. However, the current evidence does not lead to a definite conclusion due to the borderline statistical significance and high between-study heterogeneity. Future studies, especially RCTs, are necessary to assess causality.

Natural history and survival rate of familial amyloidosis with polyneuropathy: A nationwide databank.

OBJECTIVE: Hereditary amyloid transthyretin (ATTRv) amyloidosis with polyneuropathy, a rare autosomal-dominant disease, has gained attention in recent years owing to treatment improvements. However, epidemiological real-world mega database of nationwide natural history and survival rates, especially with the specific mutation of Ala97Ser, are limited. METHODS: Taiwan National Health Insurance Research Database contains data from over 23 million individuals; Among them, 175 ATTRv amyloidosis patients validated by rare disease registry were enrolled. Multivariable Cox proportional hazard analyses were applied to investigate the association between baseline characteristics and all-cause mortality. FINDINGS: From 2008 to 2020, the annual incidence and prevalence rates of specific mutations (Ala97Ser) leading to ATTRv amyloidosis with polyneuropathy were 0.04-1.14 and 0.04-4.79 per million in Taiwan, respectively. In Taiwan, these patients exhibited male predominance with a mean age at validation of 62.75 years. At the 5th year after validation, patients exhibited a survival rate of approximately 50%, with higher mortality in male patients (hazard ratio [HR]: 2.22, 95% confidence interval [CI]: 1.15-4.31) and patients older at validation (HR: 1.10, 95% CI: 1.06-1.15). The two most common departments in outpatient were neurology and family medicine, and neurology and cardiology in inpatient. The three most common causes of death registered were unspecified amyloidosis (30.6%), organ-limited amyloidosis (20.9%), and neuropathic heredofamilial amyloidosis (9.7%). INTERPRETATION: The annual prevalence rate of specific mutation (Ala97Ser)-dominant ATTRv amyloidosis with polyneuropathy in Taiwan is comparable to the mid- to high-prevalence country level of the research by Schmidt et al. The extraordinarily high mortality, especially among patients older at validation, may reflect the inadequate awareness and the necessity of early intervention with novel disease-modifying regimens.

Refracture risk and all-cause mortality after vertebral fragility fractures: Anti-osteoporotic medications matter.

BACKGROUND: Osteoporotic vertebral fractures may predict the future occurrence of fractures and increase mortality. Treating underlying osteoporosis may prevent second fractures. However, whether anti-osteoporotic treatment can reduce the mortality rate is not clear. The aim of this population study was to identify the degree of decreased mortality following the use of anti-osteoporotic medication after vertebral fractures. METHODS: We identified patients who had newly diagnosed osteoporosis and vertebral fractures from 2009 to 2019 using the Taiwan National Health Insurance Research Database (NHIRD). We used national death registration data to determine the overall mortality rate. RESULTS: There were 59,926 patients with osteoporotic vertebral fractures included in this study. After excluding patients with short-term mortality, patients who had previously received anti-osteoporotic medications had a lower refracture rate as well as a lower mortality risk (hazard ratio (HR): 0.84, 95% confidence interval (CI): 0.81-0.88). Patients receiving treatment for more than 3 years had a much lower mortality risk (HR: 0.53, 95% CI: 0.50-0.57). Patients who used oral bisphosphonates (alendronate and risedronate, HR: 0.95, 95% CI: 0.90-1.00), intravenous zoledronic acid (HR: 0.83, 95% CI: 0.74-0.93), and subcutaneous denosumab injections (HR: 0.71, 95% CI: 0.65-0.77) had lower mortality rates than patients without further treatment after vertebral fractures. CONCLUSION: In addition to fracture prevention, anti-osteoporotic treatments for patients with vertebral fractures were associated with a reduction in mortality. A longer duration of treatment and the use of long-acting drugs was also associated with lower mortality.