Factors associated with subclinical inflammation of wrist joints in rheumatoid arthritis patients with low or no disease activity- a RA ultrasound registry study.

BACKGROUND: To evaluate the factors to predict subclinical inflammation of wrist joints in patients with RA who are in clinical remission or low disease activity. METHODS: Gray scale and power Doppler ultrasound were performed on the dorsal radio-lunate of both wrists. The presence of synovitis, comorbidities, and use of disease modifying anti-rheumatic drugs were recorded. A Multivariable forward logistical regression model was used to identify factors associated with subclinical inflammation. RESULTS: There were 1248 patients (1010 females, 238 males; mean age: 60.0 ± 10.5 years ). 57.4% of patients in complete remission and low disease activity had sonographic inflammation. Multivariable forward logistic regression analysis indicated that male sex, smoking are positively associated with inflammation and that age, alcohol consumption, and use of methotrexate, glucocorticoid, or a biological therapy are negatively associated with inflammation. Use of biological agents decreased the risk of inflammation by 40.9%. CONCLUSIONS: There was evidence of subclinical inflammation in most patients who were in low or no disease activity, those with biological therapy had lower risk of subclinical inflammation.

Effects of Mean Artery Pressure and Blood pH on Survival Rate of Patients with Acute Kidney Injury Combined with Acute Hypoxic Respiratory Failure: A Retrospective Study.

Background and Objectives: In the intensive care unit (ICU), renal failure and respiratory failure are two of the most common organ failures in patients with systemic inflammatory response syndrome (SIRS). These clinical symptoms usually result from sepsis, trauma, hypermetabolism or shock. If this syndrome is caused by septic shock, the Surviving Sepsis Campaign Bundle suggests that vasopressin be given to maintain mean arterial pressure (MAP) > 65 mmHg if the patient is hypotensive after fluid resuscitation. Nevertheless, it is important to note that some studies found an effect of various mean arterial pressures on organ function; for example, a MAP of less than 75 mmHg was associated with the risk of acute kidney injury (AKI). However, no published study has evaluated the risk factors of mortality in the subgroup of acute kidney injury with respiratory failure, and little is known of the impact of general risk factors that may increase the mortality rate. Materials and Methods: The objective of this study was to determine the risk factors that might directly affect survival in critically ill patients with multiple organ failure in this subgroup. We retrospectively constructed a cohort study of patients who were admitted to the ICUs, including medical, surgical, and neurological, over 24 months (2015.1 to 2016.12) at Chiayi Chang Gung Memorial Hospital. We only considered patients who met the criteria of acute renal injury according to the Acute Kidney Injury Network (AKIN) and were undergoing mechanical ventilator support due to acute respiratory failure at admission. Results: Data showed that the overall ICU and hospital mortality rate was 63.5%. The most common cause of ICU admission in this cohort study was cardiovascular disease (31.7%) followed by respiratory disease (28.6%). Most patients (73%) suffered sepsis during their ICU admission and the mean length of hospital stay was 24.32 ± 25.73 days. In general, the factors independently associated with in-hospital mortality were lactate > 51.8 mg/dL, MAP ≤ 77.16 mmHg, and pH ≤ 7.22. The risk of in-patient mortality was analyzed using a multivariable Cox regression survival model. Adjusting for other covariates, MAP ≤ 77.16 mmHg was associated with higher probability of in-hospital death [OR = 3.06 (1.374-6.853), p = 0.006]. The other independent outcome predictor of mortality was pH ≤ 7.22 [OR = 2.40 (1.122-5.147), p = 0.024]. Kaplan-Meier survival curves were calculated and the log rank statistic was highly significant. Conclusions: Acute kidney injury combined with respiratory failure is associated with high mortality. High mean arterial pressure and normal blood pH might improve these outcomes. Therefore, the acid-base status and MAP should be considered when attempting to predict outcome. Moreover, the blood pressure targets for acute kidney injury in critical care should not be similar to those recommended for the general population and might prevent mortality.

The impact of long-term biologics/target therapy on bone mineral density in rheumatoid arthritis: a propensity score-matched analysis.

OBJECTIVES: To investigate changes in BMD in RA patients receiving 3-year biological/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARD) or conventional synthetic DMARD (csDMARD). METHODS: Patients with RA were recruited from September 2014 until March 2019. Clinical characteristics, BMD and evidence of fragility fractures at enrolment were documented. Participants were treated according to the National Institute for Health and Care Excellence (NICE) guidelines over a 3-year observation period. Repeated BMD was measured at the end of the study period. Participants were grouped into those receiving b/tsDMARD or csDMARD and by propensity score matching (1:2). RESULTS: A total of 388 participants completed the 3-year follow-up. After propensity score matching, 92 and 184 participants were allocated to the b/tsDMARD (Group I) and csDMARD (Group II), respectively. After 3 years, BMD remained stable at the femoral neck (FN), hip (total) (TH) and lumbar vertebra (L1-4) (P =0.09, 0.15, 0.87) in Group I. However, BMD decreased significantly in Group II (P=0.045, <0.001, 0.004) at corresponding sites. Participants receiving combined b/tsDMARD and anti-osteoporosis therapy experienced a greater BMD preserving effect than other subgroups. CONCLUSION: Long-term b/tsDMARDs therapy had protective effects on bone loss for patients with RA. Patients receiving concomitant anti-osteoporosis therapy and b/tsDMARDs therapy experienced the greatest BMD preserving effect.

Novel algorithm generating strategy to identify high fracture risk population using a hybrid intervention threshold.

INTRODUCTION: The aim of this study was to develop an algorithm to identify high-risk populations of fragility fractures in Taiwan. MATERIALS AND METHODS: A total of 16,539 postmenopausal women and men (age ≥ 50 years) were identified from the Taiwan Osteoporosis Survey database. Using the Taiwan FRAX® tool, the 10-year probability of major osteoporotic fracture (MOF) and hip fracture (HF) and the individual intervention threshold (IIT) of each participant were calculated. Subjects with either a probability above the IIT or those with MOF ≥ 20% or HF ≥ 9% were included as group A. Subjects with a bone mineral density (BMD) T-score at femoral neck based on healthy subjects of ≤ - 2.5 were included in group B. We tested several cutoff points for MOF and HF so that the number of patients in group A and group B were similar. A novel country-specific hybrid intervention threshold along with an algorithm was generated to identify high fracture risk individuals. RESULTS: 3173 (19.2%) and 3129 (18.9%) participants were categorized to groups A and B, respectively. Participants in group B had a significantly lower BMD (p < 0.001), but clinical characteristics, especially the 10-year probability of MOF (p < 0.001) or HF (p < 0.001), were significantly worse in group A. We found the algorithm generated from the hybrid intervention threshold is practical. CONCLUSION: The strategy of generating an algorithm for fracture prevention by novel hybrid intervention threshold is more efficient as it identifies patients with a higher risk of fragility fracture and could be a template for other country-specific policies.

Lower Central Fat Increase Risk of One-Year Muscle Mass Loss in Menopausal Women.

BACKGROUND: Hormonal changes had been found in menopausal women. Muscle and bone mass decline after menopause and with aging, increasing the risk for sarcopenia and osteoporosis in later life. Only a few studies suggest that menopausal hormonal changes have an effect on the decline in muscle mass. OBJECTIVES: This study aimed at evaluating the risk of muscle mass loss in menopausal women. MATERIALS AND METHODS: Menopausal women from routine physical health examination were eligible for this study. Muscle mass was determined using dual-energy X-ray absorptiometry at baseline and 1 year later. All of the patients underwent the assessments for liver and kidney function, diabetes, and hypertension, and associated comorbidities were recorded. RESULTS: A total of 172 patients were enrolled. 70 patients had muscle loss at 1 year, and the other 102 did not had loss. The mean age was 70.26 ± 9.93 years at the muscle loss group, while 69.25 ± 10.50 at the nonprogress group (p = 0.531). The mean body mass index was 22.96 ± 1.91 kg/m2 at the muscle loss group, while 23.33 ± 3.71 kg/m2 at the nonprogress group (p = 0.433). The baseline trunk limb fat mass ratio was 1.01 ± 0.20 in the muscle loss group and 1.12 ± 0.26 in the no muscle loss (p = 0.004). Using muscle mass loss as the outcome, logistical regression analysis showed that a baseline trunk limb mass ratio could predict muscle loss, and a higher baseline trunk limb mass ratio was associated with less muscle loss, while a lower trunk limb mass ratio was associated with increased muscle mass loss (p = 0.01). CONCLUSION: This is the first study to investigate the risk of muscle mass loss in menopausal women. Menopausal women with higher central fat had less muscle mass loss, while lower central fat was a risk factor for muscle mass loss. Chronic kidney disease was also a risk factor for muscle mass loss in menopausal women in this study.

Adherence to anti-osteoporosis medication associated with lower mortality following hip fracture in older adults: a nationwide propensity score-matched cohort study.

BACKGROUND: We investigated the association of anti-osteoporosis medication with mortality risk in older adults with hip fractures and evaluated the influence of medication adherence on mortality. METHODS: We conducted a population-based cohort study and identified a total of 13,123 patients aged 65 years or older with hip fracture from the Taiwan National Health Insurance Database during the period 2001-2010. Individuals with (n = 2092) and without (n = 2092) receiving anti-osteoporosis medication were matched using propensity score matching (1:1 ratio). The 1-, 3- and 5-year survival rates after the index fracture were compared between patients with and without treatment. In the treated group, survival rate was compared between those with good and non-adherence. Good adherence was defined as the medication possession ratio of ≥80% and non-adherence as a ratio < 80%. RESULTS: The 1-, 3- and 5-year mortality rates were significantly lower in the treated vs. the non-treated group (all p < 0.0001). In the treated group, the estimated 1-, 3- and 5-year survival rates were higher in those with good adherence than in those with non-adherence (all p < 0.0001). Regarding all-cause mortality, the adjusted hazard ratio in the treated vs. the non-treated group was 0.63 (95% confidence interval 0.58-0.68, p < 0.0001). The good adherence subgroup showed a significantly lower mortality risk than that in the non-adherence subgroup (hazard ratio 0.41, 95% confidence interval 0.32-0.51, p < 0.0001). CONCLUSIONS: The 1-, 3- and 5-year survival rates were significantly higher in patients receiving anti-osteoporosis medication than in the untreated group. All-cause mortality rates were lower in patients with good adherence to anti-osteoporosis medication.

Effect of long-term hydroxychloroquine on vascular events in patients with systemic lupus erythematosus: a database prospective cohort study.

Objectives: The incidence of thromboembolism in patients with SLE is higher than that in the general population. HCQ, widely used to treat lupus, may have vascular protective effects. The aim of this study was to determine whether long-term HCQ exposure is associated with decreased thromboembolism risk in SLE. Methods: We designed a prospective cohort study within an SLE population based on the National Health Insurance Research Database in Taiwan. We divided participants into HCQ and control groups according to HCQ prescription during the first year. These groups were defined by medication possession ratio (MPR) ⩾80% and MPR = 0%, respectively. Patients with an MPR between 0 and 80% were excluded. The primary outcome was a composite vascular event, including acute coronary syndrome, ischaemic stroke, pulmonary embolism, deep vein thrombosis and peripheral arterial disease 1 year after inclusion. We excluded patients from the cohort if they had outcomes within the first year. Results: A total of 8397 patients were eligible for analysis. After propensity-score matching, we included 1946 patients in each group. During a mean follow-up of 7.4 years, the number of events was 139 in the HCQ group (7.1%) and 149 in the control group (7.7%). The risk of vascular events in the HCQ group was similar to that in the control group (hazard ratio = 0.91; 95% CI: 0.72, 1.15). Further subgroup analyses confirmed no statistically significant differences between the groups. Conclusion: Long-term HCQ appears to have no vascular protective effect in patients with SLE.

Delayed anti-TNF therapy increases the risk of total knee replacement in patients with severe rheumatoid arthritis.

BACKGROUND: This study evaluated the effect of early anti-tumor necrosis factor (TNF) therapy in patients with severe rheumatoid arthritis (RA) on the subsequent risk of total knee replacement (TKR) surgery. METHODS: This retrospective observational study included a hospital-based cohort of 200 patients diagnosed with severe RA who received treatment with anti-TNF therapy between 2003 and 2014. Clinical parameters including age, sex, body mass index, and the time from the diagnosis of RA to the initiation of anti-TNF therapy were analyzed. RESULTS: Of the 200 enrolled patients, 84 underwent an early intervention (≤3 years from the diagnosis of RA to the initiation of anti-TNF therapy), and 116 underwent a late intervention(>3 years from the diagnosis of RA to the initiation of anti-TNF therapy). Five (6.0%) patients in the early intervention group underwent TKR compared to 31 (26.7%) in the late intervention group (p = 0.023). After adjusting for confounding factors, the late intervention group still had a significantly higher risk of TKR (p = 0.004; odds ratio, 5.572; 95% confidence interval, 1.933-16.062). Those receiving treatment including methotrexate had a lower risk of TKR (p = 0.004; odds ratio, 0.287; 95% confidence interval, 0.122-0.672). CONCLUSIONS: Delayed initiation of anti-TNF therapy in the treatment of severe RA was associated with an increased risk of TKR surgery. Adding methotrexate treatment decreased the risk of future TKR.

Medical specialty-related adherence to anti-osteoporotic regimens in fragility hip fracture patients.

There is poor adherence in the management of osteoporotic fractures. We designed a study to investigate adherence to osteoporotic regimens among osteoporotic hip fracture patients and to analyze the risk factors associated with poor compliance. This retrospective chart-review study was carried out using a database of osteoporotic hip fracture patients at a medical center in Taiwan for the period 2001-2007. Adherence was assessed using compliance and persistence. Compliance was calculated by the medication possession ratio (MPR) and persistence by the time from treatment initiation to discontinuation. The MPR and corresponding risk factors for poor compliance (MPR < 80 %) were evaluated for year 1. The year 2 results were analyzed only for those subjects with good compliance (MPR ≥ 80 %) at the end of year 1. There were 366 osteoporotic hip fracture patients (323 women, 43 men) with a mean age of 73.9 ± 7.6 years. Of these, 53.8 % had good compliance for year 1 and 68.5 % for year 2. During 2 years of follow-up, the overall persistence ratio was 33.1 %. The risk factor associated with poor compliance in the first year was index prescription by orthopedists [odds ratio (OR) 1.69, 95 % confidence interval (CI) 1.10-2.59]. Subjects with hypertension (OR 0.69, 95 % CI 0.46-0.99) had good compliance. Index prescription by orthopedists (OR 2.44, 95 % CI 1.31-4.51) was the sole risk factor for poor compliance in year 2. In conclusion, although adherence to osteoporotic regimens was sub-optimal in hip fracture patients, the majority of patients' decreased adherence occurred within the first year. Medical specialties showed different adherences in both year 1 and year 2.

Development and Comparison of Treatment Decision Tools for Glucocorticoid-Induced Osteoporosis.

Long-term Glucocorticoid (GC) use results in compromised bone strength and fractures, and several treatment recommendations have been developed to prevent fractures, but none have been validated in a real-world setting. This study aims to create a treatment decision tool and compares this tool to the treatment suggestions from the American College of Rheumatology (ACR), International Osteoporosis Foundation and European Calcified Tissue Society (IOF-ECTS), and GC-adjusted Fracture Risk Assessment Tool (GC-FRAX), above the intervention threshold. We utilized registry data gathered at Chang Gung Memorial Hospital at Kaohsiung, Taiwan, between September 2014 and April 2021. This research is a single-center, observational, and case-controlled study. We recruited participants using prednisone for at least 2.5 mg/day or the equivalent dose for over 3 months, excluding those younger than 40, those with malignancies, or those currently undergoing anti-osteoporosis therapy. The primary endpoint was new fragility fractures within 3 years, including morphometric vertebral fractures detected at baseline and with a follow-up thoracic-lumbar spine X-ray. Participants were randomly allocated into derivation and validation sets. We developed the Steroid-Associated Fracture Evaluation (SAFE) tool in the derivation cohort by assessing the weights of exploratory variables via logistic regression. Prediction performance was compared in the validation set by the receiver operating characteristic (ROC) curve, the area under the curve (AUC), and sensitivity and specificity. A total of 424 treatment-naïve subjects were enrolled, and 83 (19.6%) experienced new fractures within 3 years. The final formula of the SAFE tool includes osteoporosis (1 point), an accumulated GC dose ≥ 750 mg within 6 months (or equivalent prednisolone of ≥4.5 mg/day for 6 months) (1 point), a BMI ≥ 23.5 (1 point), previous fractures (1 point), and elderliness of ≥70 years (2 points). In the validation set, a treatment decision based on the SAFE ≥ 2 points demonstrated an AUC of 0.65, with a sensitivity/specificity/accuracy of 75.9/54.0/58.9, with an ACR of 0.56 (100.0/11.0/31.0), IOF-ECTS 0.61 (75.9/46.0/52.7), and GC-FRAX 0.62 (82.8/42.0/51.2). Among current GIOP recommendations, the SAFE score serves as an appropriate treatment decision tool with increased accuracy and specificity.

Non-adherence to anti-osteoporotic medications in Taiwan: physician specialty makes a difference.

Adherence to anti-osteoporotic regimens gradually decreases over time. We hypothesized that the determinants of non-compliance or non-persistence at different times vary and identified these differences. We used an outpatient database to retrieve information on anti-osteoporotic medications prescribed by a medical centre in southern Taiwan during 2001-2007. Compliance was defined as a medication possession ratio (MPR) ≥80 %. Persistence was determined as continuous use, allowing for a refill gap of 30 days. A multivariate Cox regression model evaluated potential predictors of non-adherence. A total of 3589 patients were included. In the multivariate analyses, non-compliance for both year 1 and year 2 was more likely in patients with non-vertebral non-hip fractures, respiratory disorders, prescription of the first anti-osteoporotic regimen by an orthopedist; and less likely in patients with follow-up bone densitometry and switched regimens. Risks for non-persistence at year 1 and year 2 were generally similar to those for non-compliance; insurance coverage and malignancy were associated with a lower risk of non-persistence at year 1 and year 2, respectively. In the subgroup with an MPR ≥80 % at year 1, an index prescription by an orthopedist was the only independent predictor of non-compliance and non-persistence at year 2. In conclusion, the positive or negative determinants of non-adherence were different at year 1 and year 2, which indicated that clinicians might deliver effective interventions to improve adherence via different precautions annually. This study also provided evidence that physician specialty had a significant effect on adherence to osteoporosis care.

Adherence to osteoporosis regimens among men and analysis of risk factors of poor compliance: a 2-year analytical review.

BACKGROUND: To investigate adherence and patient-specific factors associated with poor compliance with osteoporosis regimens among men. METHODS: In this retrospective chart review study, we collected data on male patients with osteoporosis treated in accordance with therapeutic recommendations. Adherence was determined by the compliance and persistence of those patients who had been dispensed an osteoporosis regimen after an index prescription. All osteoporosis regimens were considered equivalent for the purpose of investigating adherence. RESULTS: The prescriptions of 333 males met the inclusion criteria for data collection. The mean age was 68.6 ± 10.4 years. The median medication possession ratio (MPR, %) at years 1 and 2 was 90.1% (interquartile range (IQR) 19-100) and 53.7% (IQR 10.4-100), respectively; 52.3% of male patients at year 1 and 37.5% at year 2 had good compliance (defined as a MPR≧80%). The 1- and 2-year persistence rates were 45.9% and 30.0%, respectively. Patient-specific factors associated with poor compliance (MPR < 80%) during year 1 were first prescriptions given by orthopedists (odds ratio (OR) = 2.67; 95% confidence interval (CI) = 1.58-4.53; adjusted OR = 2.30, 95% CI = 1.26-4.22, p = 0.007). Male patients with rheumatoid arthritis (RA) (OR = 0.22, 95% CI = 0.06-0.78, adjusted OR = 0.19, 95% CI = 0.04-0.81, p = 0.025) and baseline bone mineral density (BMD) measurements (OR = 0.52, 95% CI = 0.32-0.85; adjusted OR = 0.51; 95% CI = 0.28-0.93, p = 0.029) were less likely to have poor compliance. CONCLUSIONS: Adherence to osteoporosis regimens in males was suboptimal in our study. Poor compliance was more likely in prescription of the first anti-osteoporotic regimen by an orthopedist. Men with RA and BMD measurements before therapy had a lower risk of non-adherence. Healthcare professionals need to target patients with specific factors to improve adherence to osteoporotic regimens.

Exploring the Critical Driving Forces and Strategy Adoption Paths of Professional Competency Development for Various Emergency Physicians Based on the Hybrid MCDM Approach.

The implementation of competency-based medical education (CBME) focuses on learners' competency outcomes and performance during their training. Competencies should meet the local demands of the healthcare system and achieve the desired patient-centered outcomes. Continuous professional education for all physicians also emphasizes competency-based training to provide high-quality patient care. In the CBME assessment, trainees are evaluated on applying their knowledge and skills to unpredictable clinical situations. A priority of the training program is essential in building competency development. However, no research has focused on exploring strategies for physician competency development. In this study, we investigate the professional competency state, determine the driving force, and provide emergency physicians' competency development strategies. We use the Decision Making Trial and Evaluation Laboratory (DEMATEL) method to identify the professional competency state and investigate the relationship among the aspects and criteria. Furthermore, the study uses the PCA (principal component analysis) method to reduce the number of components and then identify the weights of the aspects and components using the ANP (analytic network process) approach. Therefore, we can establish the prioritization of competency development of emergency physicians (EPs) with the VIKOR (Vlse kriterijumska Optimizacija I Kompromisno Resenje) approach. Our research demonstrates the priority of competency development of EPs is PL (professional literacy), CS (care services), PK (personal knowledge), and PS (professional skills). The dominant aspect is PL, and the aspect being dominated is PS. The PL affects CS, PK, and PS. Then, the CS affects PK and PS. Ultimately, the PK affects the PS. In conclusion, the strategies to improve the professional competency development of EPs should begin with the improvement from the aspect of PL. After PL, the following aspects that should be improved are CS, PK, and PS. Therefore, this study can help establish competency development strategies for different stakeholders and redefine emergency physicians' competency to reach the desired CBME outcomes by improving advantages and disadvantages.

Disease-modifying anti-rheumatic drugs associated with different diabetes risks in patients with rheumatoid arthritis.

OBJECTIVES: Patients with rheumatoid arthritis are prone to developing diabetes, which may lead to various sequelae and even cardiovascular diseases, the most common cause of death in such patients. Previous research has shown that some rheumatoid arthritis treatments may help prevent the development of diabetes. This study aimed to investigate whether patients using disease-modifying anti-rheumatic drugs (DMARDs) may have different levels of risk for diabetes and to analyse other risk factors for diabetes. METHODS: This cohort study used data from the Chang Gung Research Database. 5530 adults with rheumatoid arthritis but without diabetes were eligible for the analysis. The endpoint of this study was new-onset diabetes, defined as an HbA1c value ≥7% during follow-up. The entire follow-up period was divided into monthly subunits. These 1-month units were then divided into methotrexate (MTX) monotherapy, any biological DMARDs (bDMARDs), MTX combination, other conventional DMARDs (cDMARDs) and non-DMARDs. RESULTS: A total of 546 participants (9.87%) developed diabetes between 2001 and 2018. The risk of diabetes was significantly lower in the bDMARD periods (HR 0.51; 95% CI 0.32 to 0.83), MTX combination periods (HR 0.50; 95% CI 0.32 to 0.78) and other cDMARD periods (HR 0.56; 95% CI 0.37 to 0.84) than in the MTX monotherapy periods. Individual drug analysis showed that hydroxychloroquine (HR 0.52; 95% CI 0.42 to 0.65) reduced the risk of diabetes. Tumour necrosis factor-α inhibitors (HR 0.69; 95% CI 0.46 to 1.03) tended to be protective. CONCLUSION: Patients with rheumatoid arthritis may have different levels of risk of diabetes depending on the treatment options.

Gout and type 2 diabetes have a mutual inter-dependent effect on genetic risk factors and higher incidences.

OBJECTIVE: To explore the causal relationship between gout and Type 2 diabetes based on genetic evidence and national outpatient database. METHODS: Twenty male gout patients with early-onset, gout family history, without a habit of alcohol consumption or obesity before the first attack of gout were selected from hospital in 2010; and 42 unrelated male Chinese subjects were selected from HapMap as controls for genome-wide analysis study (GWAS). The comorbid diseases with gout were revealed by applying the significant single nucleotide polymorphisms (SNPs) to MetaCore platform, and the comorbid relationship was analysed by standardized incidence ratio (SIR) from outpatient database. RESULTS: A total of 334 SNPs were significantly related to gout in GWAS (P < 10(-7)), and Type 2 diabetes was the most significantly associated disease with gout as recognized by 36 gene symbols correspondent to the above significant SNPs. The analysis of national outpatient database showed that the overall incident Type 2 diabetes was 1.50 cases per 1000 person-months among gout patients, which was higher than the overall incident gout (1.06 cases) among Type 2 diabetes. The age-adjusted SIR of incident Type 2 diabetes among gout was 2.59 (95% CI 2.42, 2.78), whereas the age-adjusted SIR for incident gout among Type 2 diabetes was 1.61 (95% CI 1.48, 1.74). CONCLUSION: After excluding obesity and alcohol consumption behaviour, this study showed that patients with gout and Type 2 diabetes shared the common genetic factors most, and that there existed a mutual inter-dependent effect on higher incidences.

Establishing the Competency Development and Talent Cultivation Strategies for Physician-Patient Shared Decision-Making Competency Based on the IAA-NRM Approach.

Shared decision making (SDM) is a collaborative process involving patients and their healthcare workers negotiating to reach a shared decision about medical care. However, various physician stakeholders (attending physicians, medical residents, and doctors in post-graduate years) may have different viewpoints on SDM processes. The purpose of this study is to explore the core competence of physicians in performing SDM tasks and to investigate the significant competency development aspects/criteria by applying the literature research and expert interviews. We adopt the IAA (importance awareness analysis) technique for different stakeholders to evaluate the status of competency development aspects/criteria and to determine the NRM (network relation map) based on the DEMATEL (decision-making trial and evaluation laboratory) technique. The study combines the IAA and NRM methods and suggests using the IAA-NRM approach to evaluate the adoption strategies and common suitable paths for different levels of physicians. Our findings reveal that SDM perception and practice is the primary influencer of SDM competence development for all stakeholders. The current model can help hospital administrators and directors of medical education understand the diverse stakeholders' perspectives on the core competence of SDM tasks and determine common development plans. It provides strategic directions for SDM competency development and talent cultivation programs.

Hip BMD is associated with visceral fat change: a registry study of osteoporosis and sarcopenia.

Background: Osteoporosis increases the risk of fractures. Visceral fat is associated with cardiovascular disease (CVD). There is inadequate knowledge on the relationship between osteoporosis and visceral fat. The study aimed to evaluate the relationship between bone mineral density (BMD) and visceral fat mass in the elderly. Methods: This was a prospective cohort study. Subjects were enrolled from the Rheumatology Clinic. All subjects underwent baseline bone mineral density and body composition measurements using dual-energy X-ray absorptiometry. Results: A total of 321 patients including 288 females and 33 males were enrolled in this study. We followed up DEXA for 1 year for fat and muscle mass change and found that 162 (50.5%) had a decrease in fat mass, 129 (40.2%) had decreased visceral fat, and 138 (43%) had decreased muscle mass. Furthermore, we found that the baseline hip T score was correlated with visceral fat decrease. Using visceral fat decrease as the outcome, we found that hip T score could predict visceral fat loss: the higher the T score, the more visceral fat loss was found [p < 0.001, OR: 1.6, CI: (1.3-2.1)]. Conclusion: A high hip T score was associated with a future decrease in visceral fat, which may decrease the risk of atherosclerosis and CV risk. Therefore, evaluation of visceral fat may be useful for assessing CVD risk in patients with osteoporosis. Effective management of the risk of atherosclerosis and CVD is important in improving the life expectancy of these patients.

Determining the Development Strategy and Suited Adoption Paths for the Core Competence of Shared Decision-Making Tasks through the SAA-NRM Approach.

Shared decision making (SDM) is an interactive process that involves patients and their healthcare professionals reaching joint decisions about medical care through negotiation. As the initiators of medical decision-making in daily routine, physicians should be aware of and concerned about the SDM process. Thus, professional competency development for SDM has become increasingly critical for physicians' training. Therefore, this study investigates the professional competency and the important competency development aspects/criteria of SDM tasks through expert interviews and literature research. The study adopts the SAA (satisfaction-attention analysis) method to assess the status of competency development aspects/criteria and determine the NRM (network relation map) based on the DEMATEL (decision-making trial and evaluation laboratory) technique. The results demonstrate that the CE (concept and evaluation) aspect is the dominant aspect, and the CR (communication and relationship) aspect is the aspect being dominated. The CE aspect influences the aspects of SP (skill and practice), JM (joint information and decision making) and CR, and the SP aspect affects the aspects of JM and CR. Then, the JM aspect affects the CR aspect. The study also suggests suitable adoption paths of competency development for SDM tasks using the NRM approach. It provides recommendations and strategic directions for SDM competency development and sustainable training programs.

The Impact of Seropositivity on Systemic Bone Loss in Rheumatoid Arthritis-A 3-Year Interim Analysis of a Longitudinal Observational Cohort Study.

Objective: To explore the impact of seropositivity on systemic bone loss in rheumatoid arthritis (RA). Methods: We conducted an interim analysis of the RA registry. Patients were examined with dual-energy X-ray absorptiometry at baseline and again 3 years later. Participants were grouped into seropositive (SPRA) and seronegative (SNRA) based on the presence or absence of rheumatoid factor (RF) and/or anti-cyclic citrullinated peptide antibodies (ACPA). After matching (1:2) for age and sex, SNRA and SPRA patients were divided into groups A and B. Each matched group (A or B) was further subdivided according to the number of antibodies present (0, group I; 1, group II; 2, group III). Multiple ordinary least squares regression was used with the dependent variables to develop a model to predict bone mineral density (BMD) change. Results: A total of 477 participants who completed a 3-year observation period were included. After matching, 312 participants were enrolled (group A, 104; group B, 208). Three years later, group B had significant BMD reduction in the femoral neck (FN) (p < 0.001), total hip (TH) (p = 0.001), and first through fourth lumbar vertebrae (L1-4) (p = 0.006), while group A had bone loss only at FN (p = 0.002). Groups I, II, and III included 104, 52, and 156 participants, respectively. Compared to baseline, BMD decreased significantly at FN (p = 0.002) in group I, FN (p < 0.001) in group II, and FN (p < 0.001), TH (p = 0.002), and L1-4 (p = 0.016) in group III. In terms of regression-adjusted percent change in BMD, more significantly negative changes were found at all measured sites in group B (p < 0.001, all) and at TH and L1-4 within groups I-III (p for trend < 0.001 and < 0.001, respectively). Regardless of antibodies, anti-osteoporotic therapy can preserve bone density in RA patients. Conclusion: After 3 years, SPRA patients lost more bone density than SNRA patients. More attention should be paid to SPRA patients, especially those with double-positive antibodies, including a vigorous evaluation of BMD and fracture risk. Anti-osteoporotic therapy can prevent BMD loss irrespective of autoantibodies.

Establishment of a preliminary FRAX®-based intervention threshold for rheumatoid arthritis-associated fragility fracture: a 3-year longitudinal, observational, cohort study.

BACKGROUND: To establish a FRAX®-based prediction model for rheumatoid arthritis (RA)-associated fragility fracture. METHODS: This study is a longitudinal, real-world, registry cohort study. Patients with RA were registered to start in September 2014. The baseline demographics, bone mineral density (BMD), and risk factors of osteoporosis or fragility fracture were recorded. Subsequent fragility fractures during the 3-year observation period were also recorded. We developed a fixed intervention threshold (FITD) to identify fractures by choosing an optimal cut-off point on the receiver operating characteristic (ROC) curve and FRAX®. Several models for intervention thresholds (IT), including fixed intervention threshold (Taiwan) (FITT), age-specific individual intervention threshold (IIT), and hybrid intervention threshold (HIT), were compared to evaluate which IT model will have better discriminative power. RESULTS: As of December 2020, a total of 493 RA participants have completed the 3-year observation study. The mean age of the participants was 59.3 ± 8.7, and 116 (23.5%) new fragility fractures were observed during the study period. In terms of pairwise comparisons of area under the curve (n, 95% confidence interval) in the ROC curve, the FITD (0.669, 0.610-0.727, p < 0.001) with a value of 22% in major osteoporotic fracture and FITT (0.640, 0.582-0.699, p < 0.001) is significantly better than reference, but not for IIT (0.543, 0.485-0.601, p = 0.165) and HIT (0.543, 0.485-0.601, p = 0.165). CONCLUSION: An optimal FIT is established for intervention decisions in RA-associated fragility fractures. This model can offer an easy and simple guide to aid RA caregivers to provide interventions to prevent fragility fractures in patients with RA.