Hydroxychloroquine and risk of osteoporosis in patients with rheumatoid arthritis: A population-based retrospective study of 6408 patients.

AIM: Patients with rheumatoid arthritis (RA) are at a higher risk of osteoporotic fractures. Studies have shown that patients with Sjogren's syndrome (SS) and systemic lupus erythematosus (SLE) experienced an increase in bone mineral density (BMD) after receiving hydroxychloroquine (HCQ) treatment, indicating a potential protective effect against osteoporosis. Therefore, this study is to examine the relationship between HCQ usage and the risk of osteoporosis in patients diagnosed with RA. METHODS: The retrospective cohort study used data from Taiwan's National Health Insurance Research Database (NHIRD) covering the period from January 2010 to December 2018, which included 14 050 newly diagnosed RA patients, subsequently divided into two groups: HCQ users and non-users. Propensity score matching (PSM) based on sex, age, urbanization, insured unit type, insured area, and comorbidities was conducted to match the groups. The primary outcome assessed was the evaluation of the risk of osteoporosis by employing a multivariable Cox proportional hazard regression model to calculate the adjusted hazard ratio (aHR). RESULTS: After PSM, a total of 6408 RA patients were included in the analysis (3204 HCQ users and 3204 non-users). There was no significantly higher risk of osteoporosis in HCQ users compared with non-users, aHR = 0.99 (95% CI: 0.82-1.196). Additionally, different durations of HCQ usage demonstrated a neutral effect on the risk of osteoporosis [HCQ <90 days, aHR = 0.88 (95% CI: 0.585-1.324); HCQ 90-180 days, aHR = 0.941 (95% CI: 0.625-1.418); HCQ >180 days, aHR = 1.019 (95% CI: 0.832-1.249)]. CONCLUSIONS: The study indicates that there is no significant association between the use of HCQ and the risk of osteoporosis in patients with RA.

Association between dietary retinol intake and rheumatoid arthritis based on NHANES database.

OBJECTIVE: This study focused on the investigation of the correlation between dietary retinol intake and rheumatoid arthritis (RA) using the National Health and Nutrition Examination Survey (NHANES) database. METHODS: Data from five NHANES cycles from 2003 to 2012 were utilized for this study. Dietary retinol intake was considered as the independent variable, and RA was the dependent variable. A weighted logistic regression method was applied to construct the relational model of the two variables. Stratified analysis without adjusting for confounding factors and subgroup analysis with confounding factors adjusted were conducted to explore the association between dietary retinol intake and RA. The optimal intake of dietary retinol was determined by the restricted cubic splines (RCS) analysis. RESULTS: 22,971 samples were included in this study. The weighted logistic regression model was employed to construct the relational model of dietary retinol intake and RA (OR: 0.95, 95% CI: 0.91-0.99, p = 0.019). Stratified analysis displayed a great influence on the relational model exerted by the interaction between gender and retinol intake (p for interaction = 0.014). A significant association between retinol intake and RA was also indicated in the model adjusted for demographic characteristics (OR: 0.95, 95% CI: 0.90-1.00, p = 0.029). Subgroup analysis by gender showed that in the female population, unadjusted model (OR: 0.90, 95% CI: 0.84-0.96, p = 0.002), model adjusted for demographic characteristics only (OR: 0.89, 95% CI: 0.83-0.96, p = 0.002), and model adjusted for all confounding factors (OR: 0.91, 95% CI: 0.85-0.99, p = 0.019) indicated dietary retinol intake as a protective factor against RA. RCS analysis demonstrated that in the female population, regardless of the model used (Crude, Model I, and Model II), an intake of dietary retinol > 354.86 mcg was associated with RA disease reduction (OR < 1.0, p-non-linear < 0.05, p-overall < 0.05). CONCLUSION: Increased dietary retinol intake was associated with RA disease reduction, particularly in the female population. Women are recommended to increase their dietary retinol intake (> 354.86 mcg) to reduce the risk of RA.

Forecasting rheumatoid arthritis patient arrivals by including meteorological factors and air pollutants.

The burden of rheumatoid arthritis (RA) has gradually elevated, increasing the need for medical resource redistribution. Forecasting RA patient arrivals can be helpful in managing medical resources. However, no relevant studies have been conducted yet. This study aims to construct a long short-term memory (LSTM) model, a deep learning model recently developed for novel data processing, to forecast RA patient arrivals considering meteorological factors and air pollutants and compares this model with traditional methods. Data on RA patients, meteorological factors and air pollutants from 2015 to 2022 were collected and normalized to construct moving average (MA)- and autoregressive (AR)-based and LSTM models. After data normalization, the root mean square error (RMSE) was adopted to evaluate models' forecast ability. A total of 2422 individuals were enrolled. Not using the environmental data, the RMSEs of the MA- and AR-based models' test sets are 0.131, 0.132, and 0.117 when the training set: test set ratio is 2:1, 3:1, and 7:1, while they are 0.110, 0.130, and 0.112 for the univariate LSTM models. Considering meteorological factors and air pollutants, the RMSEs of the MA- and AR-based model test sets were 0.142, 0.303, and 0.164 when the training set: test set ratio is 2:1, 3:1, and 7:1, while they were 0.108, 0.119, and 0.109 for the multivariable LSTM models. Our study demonstrated that LSTM models can forecast RA patient arrivals more accurately than MA- and AR-based models for datasets of all three sizes. Considering the meteorological factors and air pollutants can further improve the forecasting ability of the LSTM models. This novel method provides valuable information for medical management, the optimization of medical resource redistribution, and the alleviation of resource shortages.

Prevalence and contributing factors of metabolic syndrome in rheumatoid arthritis patients.

BACKGROUND: Promoting prevalence of metabolic syndrome (MetS) in Rheumatoid arthritis (RA) patients might occur secondary to RA therapy as well as sedentary life style. However, conflicting observations have been reported on the correlation between MetS and RA. This study aimed to determine the frequency of MetS and association of its components in RA. METHODS: In this study, 500 RA patients and 500 age- and gender-matched healthy controls were enrolled. MetS was fulfilled through the International Diabetes Federation (IDF) criteria. A multivariate regression model was used to control for variables independently associated with the risk of MetS in RA patients. RESULTS: The prevalence of MetS was 58.8% on IDF criteria in RA patients that was higher than controls (20.4%). Higher incidence of cardiovascular disease (CVD), the familial history of CVD, hypertension, type 2 diabetes mellitus (T2DM), smoking, dyslipidemia, and higher levels of body mass index (BMI), waist circumference (WC), total cholesterol level, fasting blood sugar (FBS), triglyceride (TG) level, low-density lipoprotein (LDL) level, while lower levels of high-density lipoprotein (HDL) were associated with an increased risk of MetS in RA patients. Multivariate regression analysis indicated that age, WC, dyslipidemia, LDL, and DAS28 were independent predictors of MetS in the RA patients. CONCLUSIONS: The prevalence of MetS is higher in RA patients. Our findings suggest an association between cardiovascular risk factors and the increased prevalence of MetS in RA patients.

Significant decrease of osteoporosis and osteoporotic fractures in rheumatoid arthritis within a period of 24 years: experiences of a single centre.

OBJECTIVES: Rheumatoid arthritis (RA) is associated with an increased risk for osteoporosis and osteoporotic fractures. Since the treatment of RA has improved significantly in recent years, we can expect RA-associated osteoporosis to decrease with good disease control. Therefore, we conducted a retrospective study to investigate whether the frequency of osteoporosis and osteoporotic fractures has changed during 24 years in RA. METHODS: We analysed the data of 1.086 RA patients from the time of the first osteological assessment with bone mineral density (BMD) measurement and collection of osteologically important data during the years 1996 and 2019 at our clinic. According to the treatment period, the patients were divided into cohort 1 (investigation between 1996 and 2004; n=539) and cohort 2 (investigation between 2005 and 2019; n=547). The data of the two cohorts were compared, and predictors of BMD were analysed by linear regression analysis. RESULTS: Prevalence of osteoporosis (28.3% vs 48.4%; p<0.001) as well as osteoporotic peripheral fractures (11.5% vs 21%; p<0.001) and vertebral fractures (6.6% vs 10.9%; p=0.011) were significantly lower and treatment with biologicals (19.7% vs 5.0%; p<0.001) significantly more common and glucocorticoid use was significantly less common (p=0.005) in cohort 2. In RA patients with a disease duration of more than 2 years, BMD was significantly higher under treatment with biologicals (p<0.001) despite increased cumulative glucocorticoid dosages (p<0.001). CONCLUSION: Our study showed a significant decline in osteoporosis and osteoporotic fractures in RA for 24 years. This positive effect is associated with the more frequent use of biologicals in the years between 2005 and 2019.

Association between rheumatoid arthritis and chronic respiratory diseases in a Japanese population: A Mendelian randomization study.

Past observational studies have documented an association between rheumatoid arthritis (RA) and chronic respiratory diseases. Undertaking the approach of Mendelian randomization (MR) analysis, this research aims to delve deeper into the probability of a causal connection between RA and chronic respiratory diseases. Collated genome-wide association study data covering RA with 4199 cases against 208,254 controls, asthma comprising 8216 cases versus 201,592 controls, and chronic obstructive pulmonary disease (COPD) detailing 3315 cases in contrast to 201,592 controls were derived from the repository of the Japanese Biobank. A selection of 10 RA-related, 8 asthma-related, and 4 COPD-related single nucleotide polymorphisms notable for their statistical significance (P < 5 × 10-8) were identified as instrumental variables. The primary analytical technique was the inverse variance-weighted (IVW) method, alongside the MR-Egger protocol, weighted median, and weighted mode to reinforce the validity and solidity of the principal results. For scrutinizing possible implications of horizontal pleiotropy, we harnessed the MR-Egger intercept examination and the Mendelian Randomization Pleiotropy REsidual Sum and Outlier test. Employing the inverse variance-weighted technique, we established a positive correlation between genetic predispositions for RA and actual occurrences of asthma (odds ratios [OR] = 1.14; 95% confidence intervals [CI]: 1.04-1.24; P = .003). This correlation remained strong when testing the results utilizing various methods, including the MR-Egger method (OR = 1.32; 95% CI: 1.09-1.60; P = .023), the weighted median (OR = 1.16; 95% CI: 1.06-1.26; P < .001), and the weighted mode (OR = 1.21; 95% CI: 1.11-1.32; P = .002). Furthermore, our findings from the inverse variance-weighted method also demonstrated a positive association between genetically predicted RA and COPD (OR = 1.12; 95% CI: 1.02-1.29; P = .021). However, no such link was discerned in supplementary analyses. In a shifted perspective-the reverse MR analysis-no correlation was identified between genetically predicted instances of asthma (IVW, P = .717) or COPD (IVW, P = .177) and RA. The findings confirm a causal correlation between genetically predicted RA and an elevated risk of either asthma or COPD. In contrast, our results offer no support to the presumed causal relationship between genetic susceptibility to either asthma or COPD and the subsequent development of RA.

Detection of systemic autoimmune diseases in an ongoing assessment program for hand arthralgias. A comparative analysis with inflammatory and non-inflammatory arthropathies.

INTRODUCTION: Arthralgias are prevalent in systemic autoimmune rheumatic diseases (SARD), emphasizing the need for early recognition. This study aimed to estimate SARD frequency and compare clinical, laboratory, and imaging findings among SARD, non-inflammatory arthralgia (NIA), and RA in patients with hand arthralgias. METHODS: A prospective evaluation program included individuals aged ≥18 with hand arthralgias. Baseline assessments covered clinical, laboratory, ultrasound, and radiography. Follow-up diagnoses categorized patients into SARD, NIA, and RA groups. Comparison between groups was performed using parametric and non-parametric tests. Two multivariate logistic regression analyzes were performed using the final diagnosis of SARD as the dependent variable (NIA and RA). ROC curves were calculated in those variables that presented an independent association in the multivariate analysis. RESULTS: Among 1053 patients, 9.6% were SARD (SLE 47%). Comparing SARD with NIA revealed higher CRP levels, power Doppler, less rhizarthrosis in ultrasound, and more ANA positivity in SARD patients. Distinct differences were observed between SARD and RA patients in terms of pain levels, swollen joints, metacarpophalangeal involvement and morning symptoms. Diagnostic markers demonstrated specific sensitivities and specificities: ANA for SARD versus NIA (82%, 34%), US not finding rhizarthrosis for SARD versus NIA (66%, 85%), CRP (cut-off >2.5 mg/L) sensitivity 52%, specificity 60%, AUC 0.62, RA antibodies (RF, 11 IU/mL) sensitivity 76%, specificity 74%, AUC 0.8, ACPA (1.25) sensitivity 50%, specificity 98%, AUC 0.7, ANA+ sensitivity 95%, specificity 32%, AUC 0.7, and US absence of synovitis sensitivity 82%, specificity 34%, AUC 0.75. CONCLUSION: This study highlights distinct clinical, laboratory, and imaging features differentiating SARD-related hand arthralgia from non-SARD hand arthralgia and RA.

Exploring the causal association between frailty index with the common types of arthritis: a Mendelian randomization analysis.

BACKGROUND: Previous observational studies indicated a complex association between frailty and arthritis. AIMS: To investigate the genetic causal relationship between the frailty index and the risk of common arthritis. METHODS: We performed a large-scale Mendelian randomization (MR) analysis to assess frailty index associations with the risk of common arthritis in the UK Biobank (UKB), and the FinnGen Biobank. Summary genome-wide association statistics for frailty, as defined by the frailty index, and common arthritis including rheumatoid arthritis (RA), osteoarthritis (OA), psoriatic arthritis (PSA), and ankylosing spondylitis (AS). The inverse-variance weight (IVW) method served as the primary MR analysis. Heterogeneity testing and sensitivity analysis were also conducted. RESULTS: Our results denoted a genetic association between the frailty index with an increased risk of OA, the odds ratio (OR)IVW in the UKB was 1.03 (95% confidence interval [CI]: 1.01-1.05; P = 0.007), and ORIVW was 1.55 (95% CI: 1.16-2.07; P = 0.003) in the FinnGen. For RA, the ORIVW from UKB and FinnGen were 1.03 (1.01-1.05, P = 0.006) and 4.57 (1.35-96.49; P = 0.025) respectively. For PSA, the frailty index was associated with PSA (ORIVW = 4.22 (1.21-14.67), P = 0.023) in FinnGen, not in UKB (P > 0.05). However, no association was found between frailty index and AS (P > 0.05). These results remained consistent across sensitivity assessments. CONCLUSION: This study demonstrated a potential causal relationship that genetic predisposition to frailty index was associated with the risk of arthritis, especially RA, OA, and PSA, not but AS. Our findings enrich the existing body of knowledge on the subject matter.

A novel method to monitor rheumatoid arthritis prevalence using hospital and medication databases.

BACKGROUND: Most estimates of rheumatoid arthritis (RA) prevalence, including all official figures in Australia and many other countries, are based on self-report. Self-report has been shown to overestimate RA, but the 'gold standard' of reviewing individual medical records is costly, time-consuming and impractical for large-scale research and population monitoring. This study provides an algorithm to estimate RA cases using administrative data that can be adjusted for use in multiple contexts to provide the first approximate RA cohort in Australia that does not rely on self-report. METHODS: Survey data on self-reported RA and medications from 25 467 respondents of the Australian Longitudinal Study on Women's Health (ALSWH) were linked with data from the national medication reimbursement database, hospital and emergency department (ED) episodes, and Medicare Benefits codes. RA prevalence was calculated for self-reported RA, self-reported RA medications, dispensed RA medications, and hospital/ED RA presentations. Linked data were used to exclude individuals with confounding autoimmune conditions. RESULTS: Of 25 467 survey respondents, 1367 (5·4%) women self-reported disease. Of the 26 840 women with hospital or ED presentations, 292 (1·1%) received ICD-10 codes for RA. There were 1038 (2·8%) cases by the medication database definition, and 294 cases (1·5%) by the self-reported medication definition. After excluding individuals with other rheumatic conditions, prevalence was 3·9% for self-reported RA, 1·9% based on the medication database definition and 0·5% by self-reported medication definition. This confirms the overestimation of RA based on self-reporting. CONCLUSIONS: We provide an algorithm for identifying individuals with RA, which could be used for population studies and monitoring RA in Australia and, with adjustments, internationally. Its balance of accuracy and practicality will be useful for health service planning using relatively easily accessible input data.

Pain and fatigue in adult patients with multiple osteochondromas: The Netherlands.

BACKGROUND: Multiple Osteochondromas (MO) is a rare genetic disorder characterised by the presence of numerous benign bone tumours, known as osteochondromas. Within the spectrum of debilitating symptoms associated with MO, pain is recognized as a major problem. Interestingly, our clinical observations suggest that fatigue is also a significant concern but has merely been touched upon in MO literature. This study aims to (1) assess the level of pain and fatigue in adult patients with MO; (2) compare fatigue in MO to healthy subjects and patients with Rheumatoid Arthritis (RA); (3) identify associated variables for pain and fatigue in patients with MO. METHODS: In this cross-sectional study, 353 adult MO patients completed a survey with validated questionnaires on pain, fatigue and psychosocial factors. Pain and fatigue were assessed with the Numeric Rating Scale (NRS), and fatigue was also measured with the Checklist Individual Strength (CIS). Fatigue (CIS) was compared with reference scores of healthy subjects and patients with RA, using a one-sample t-test. Multiple linear regression models for pain and fatigue were developed using a-priori selected independent variables based on a theoretical framework (ICF-model). RESULTS: Pain was reported by 87.8% (NRS = 3.19±2.6) and fatigue by 90.4% (NRS = 4.1±2.6) of patients with MO. Fatigue scores for MO (CIS = 84.1±15.3) were significantly higher (p<0.001) compared to reference scores of healthy subjects and patients with RA. The multivariable analysis for pain provided a final regression model with six variables (R2 = 0.445, p<0.001) of which fear avoidance beliefs and fatigue had the strongest association. For the fatigue models NRS (R2 = 0.455, p<0.001) and CIS (R2 = 0.233, p<0.001), the strongest associations were found with anxiety and depression respectively. CONCLUSIONS: Pain and fatigue are highly prevalent in patients with MO. Fatigue is significantly higher compared to healthy subjects and patients with RA. Several variables associated with pain and fatigue have been identified that could help improve multidisciplinary treatment plans.

Patients Journey Before Early Rheumatoid Arthritis Diagnosis Contributes to disease's Activity Level: A Real-Life Study.

INTRODUCTION: The help-seeking process in rheumatoid arthritis (RA) patients is challenging, and its study is limited in Latin America. The study describes the real-life journey before patients' incorporation into an early arthritis clinic (EAC) and its impact on baseline and 1-year cumulative disease activity levels. PATIENTS AND METHODS: The patient's journey was assessed through a questionnaire that captured the patient's path from the first disease-related symptom to the initial assessment in the EAC. A disease activity (28 joints evaluated)-erythrocyte sedimentation rate (DAS28-ESR) score >5.1 defined a high-disease activity level. The mean of individual consecutive DAS28-ESR scores summarized cumulative DAS28-ESR. Multiple logistic regression analysis identified factors associated with a DAS28-ESR score >5.1 at the first assessment. Linear regression analysis assessed the impact of general practitioner (GP)-first consultant and time on disease-modifying antirheumatic drugs (DMARDs) on baseline and cumulative DAS28-ESR scores. RESULTS: Through January 2023, the EAC had 241 RA patients, among whom 209 (86.7%) completed the patients' journey questionnaire (PJQ) and 176 (84.2%) at least 1 year of follow-up. A GP was the first consultant in 76.6% of the patients, and only 12.4% were prescribed DMARDs. Patients had additional evaluations with either rheumatologists (38.6%) or other specialists (31.6%), and half of them were initiated DMARDs. GP-first consultant (adjusted odds ratio: 2.314, 95% confidence interval: 1.190-4.500, p = 0.013) and time on DMARDs (adjusted odds ratio: 0.738, 95% confidence interval: 0.585-0.929, p = 0.010) were associated with baseline DAS28-ESR score >5.1. The B coefficient magnitudes for GP-first consultant and time on DMARDs to predict cumulative DAS28 progressively decreased during the first year of follow-up. CONCLUSIONS: Patients' journey before recent-onset RA diagnosis predicts first-year disease activity levels.

Does the use of statins alter the risk of rheumatoid arthritis? A systematic review and meta-analysis.

OBJECTIVE: Statins have anti-inflammatory and immune-modulatory effects which could alter the risk of rheumatoid arthritis (RA). We reviewed published literature and conducted a meta-analysis to examine if statins have an impact on the risk of RA. METHODS: Case-control studies, cohort studies, or randomized controlled trials (RCT) published on the PubMed, Scopus, and EMBASE databases up to 30th October 2023 were searched. The association between statin use and risk of RA was pooled in a random-effects meta-analysis. RESULTS: Nine studies (four cohort, four case-control, and one RCT) were included. Overall, the analysis failed to note an association between the use of statins and the risk of RA with the pooled OR being 0.93 (95% CI 0.82, 1.06). High heterogeneity was noted with I2 = 75%. Results were consistent across study types with no association noted between prior statin use and risk of RA in case-control studies (OR: 0.88 95% CI: 0.69, 1.13), cohort studies (OR: 1.01 95% CI: 0.92, 1.10), and the lone RCT (OR: 1.40 95% CI: 0.50, 3.92). CONCLUSION: Current literature shows that there is no association between the use of statins and the risk of RA. Further rigorous studies taking into account patient factors, duration of statin exposure, and other confounders are needed to generate better evidence.

Potential association of rheumatic diseases with bone mineral density and fractures: a bi-directional mendelian randomization study.

BACKGROUND: Previous studies have implicated rheumatoid arthritis as an independent risk factor for bone density loss. However, whether there is a causal relationship between rheumatic diseases and bone mineral density (BMD) and fractures is still controversial. We employed a bidirectional Mendelian analysis to explore the causal relationship between rheumatic diseases and BMD or fractures. METHODS: The rheumatic diseases instrumental variables (IVs) were obtained from a large Genome-wide association study (GWAS) meta-analysis dataset of European descent. Analyses were performed for the three rheumatic diseases: ankylosing spondylitis (AS) (n = 22,647 cases, 99,962 single nucleotide polymorphisms [SNPs]), rheumatoid arthritis (RA) (n = 58,284 cases, 13,108,512 SNPs), and systemic lupus erythematosus (SLE) (n = 14,267 cases, 7,071,163 SNPs). Two-sample Mendelian randomization (MR) analyses were carried out by using R language TwoSampleMR version 0.5.7. The inverse-variance weighted (IVW), MR-Egger, and weighted median methods were used to analyze the causal relationship between rheumatic diseases and BMD or fracture. RESULTS: The MR results revealed that there was absence of evidence for causal effect of AS on BMD or fracture. However, there is a positive causal relationship of RA with fracture of femur (95% CI = 1.0001 to 1.077, p = 0.046), and RA and fracture of forearm (95% CI = 1.015 to 1.064, p = 0.001). SLE had positive causal links for fracture of forearm (95% CI = 1.004 to 1.051, p = 0.020). Additionally, increasing in heel bone mineral density (Heel-BMD) and total bone mineral density (Total-BMD) can lead to a reduced risk of AS without heterogeneity or pleiotropic effects. The results were stable and reliable. There was absence of evidence for causal effect of fracture on RA (95% CI = 0.929 to 1.106, p = 0.759), and fracture on SLE (95% CI = 0.793 to 1.589, p = 0.516). CONCLUSIONS: RA and SLE are risk factors for fractures. On the other hand, BMD increasing can reduce risk of AS. Our results indicate that rheumatic diseases may lead to an increased risk of fractures, while increased BMD may lead to a reduced risk of rheumatic diseases. These findings provide insight into the risk of BMD and AS, identifying a potential predictor of AS risk as a reduction in BMD.

Trends and future projections of incidence rate and mortality of rheumatoid arthritis in China: a systematic analysis based on GBD 2021 data.

This study aims to evaluate the trends in rheumatoid arthritis (RA) in China from 1990 to 2021 by analyzing data from the Global Burden of Disease (GBD) 2021 study and to predict the trends for the next 25 years. Age-standardized incidence rates (ASIR) and age-standardized mortality rates (ASMR) were calculated, and the estimated annual percentage change was used to illustrate differences in age distribution among various populations. Age-period-cohort (APC) analysis and Bayesian APC (BAPC) models were employed to forecast the burden of RA in China from 2022 to 2046. From 1990 to 2021, the ASIR of RA in China increased from 11.6 to 13.7, with a significantly higher ASIR in females than in males. Despite the increase in incidence, the ASMR related to RA decreased from 0.7 to 0.5. Predictions using the BAPC model indicate that the incidence of RA will continue to rise, with an expected ASIR of approximately 16.4 by 2046, and the total number of RA cases is projected to reach around 342,000. In terms of mortality, the ASMR is expected to decline to 0.3 by 2046, although the total number of deaths might reach about 40,000. The incidence of RA in China has significantly increased over the past 30 years. Although the incidence rate and the total number of RA cases may continue to rise in the future, the mortality rate of RA has been consistently declining. Key Points • Over the past 30 years, the incidence of RA in China has significantly increased; although the incidence rate and total number of cases may continue to rise, the mortality rate has been consistently declining.

Joint Damage and Low Lean Body Mass in a Cohort of Peruvian Patients With Rheumatoid Arthritis.

OBJECTIVES: To determine the association between radiologic joint damage (JD) and a lower lean body mass (LBM) in rheumatoid arthritis (RA) patients. METHODS: A cross-sectional study from a single center established RA cohort. JD and appendicular LBM (arms and legs) were measured with the Sharp/van der Heijde (SvdH) score and dual x-ray absorptiometry expressed as kg/m 2 , respectively. A univariable analysis was used to determine the association between JD an LBM; then, a multivariable regression model was performed to evaluate the persistence of this association, adjusted by age, gender, disease duration, socioeconomic status (by the Graffar method), tobacco use, anticitrullinated protein antibody levels, Disease Activity Score in 28 joints for RA with erythrocyte sedimentation rate, glucocorticoid use (as prednisone equivalent), disease-modifying antirheumatic drug use, body mass index, and disability (by the multidimensional Health Assessment Questionnaire). RESULTS: Two hundred forty-seven patients were included; the average (SD) age was 63.0 (12.8) years, disease duration 20 (15.00) years, the total SvdH was 66 (86.75), and the aLBM was 13.6 (3.82) kg/m 2 . In the univariable analysis, a lower appendicular LBM was associated with higher SvdH score on the female population, in terms of the total ( B = -8.6, p < 0.01), bone erosion (-4.4, p < 0.01), and joint space narrowing (-4.2, p < 0.01) scores; this correlation remained in the multivariable analysis in terms of total SvdH ( B = -9.5, p < 0.01), bone erosion (-5.2, p < 0.01), and joint space narrowing (-4.3, p < 0.01). CONCLUSIONS: A lower LBM in female patients was associated with more severe JD independently of other variables examined. Strategies aimed at preserving LBM could have a favorable impact on the course of disease.

Rheumatoid arthritis and diabetic retinopathy: A two-sample Mendelian randomization study.

Diabetic retinopathy (DR) is a common and highly blinding disease. Many clinical studies have shown a causal relationship between Rheumatoid arthritis (RA) and DR, but the results are contradictory. In addition, some clinical results and pathological inferences have certain paradoxes, and the influence of RA on the pathogenesis and development of DR Is unclear. Our research assessed the causal association between RA and the development of DR using a 2-sample Mendelian randomization method. Single nucleotide polymorphisms (SNPs) relevant to the study were extracted and filtered from genome-wide association study (GWAS) data. A DR GWAS with a sample size of 190,594 and an RA GWAS with a sample size of 58,284 were obtained. Inverse variance weighted (IVW) method was used to analyze the results, and Mendelian randomization (MR)-Egger regression method and weighted median method were used to evaluate the robustness. Sensitivity analysis was performed using pleiotropy test, heterogeneity test, leave-one-out test to ensure that the results were unbiased. Confounding factors were eliminated to ensure robustness. A total of 83 related SNPs were screened. IVW method showed a positive correlation between RA and the increased relative risk of diabetic retinopathy (OR = 1.06, 95%CI: 1.04-1.23). The same trend was shown by MR-Egger regression method and weighted median method. Sensitivity analysis showed that there was no heterogeneity in SNPs, and the results were less likely to be affected by potential bias. After removing SNPs linked to confounders, the MR results remained significant and stable in direction. There is a positive causal association between rheumatoid arthritis and diabetic retinopathy. It is important to strengthen retina-related screening and prevention in diabetic patients with RA to reduce the risk of DR In RA patients.

What role do socioeconomic and clinical factors play in disease activity states in rheumatoid arthritis? Data from a large UK early inflammatory arthritis audit.

BACKGROUND: Persistently active rheumatoid arthritis (pactiveRA) may be due to the interplay between biological and non-biological factors. The role of socioeconomic factors remains unclear. OBJECTIVES: To explore which biological and non-biological factors associate with pactiveRA. METHODS: Adults with early RA in the National Early Inflammatory Arthritis Audit, recruited from May 2018 to October 2022, were included if having pactiveRA or persistently low RA (plowRA). The pactiveRA was defined as three consecutive Disease Activity Score-28 joints (DAS28) of >3.2 at baseline, 3 and 12 months. The plowRA was defined as DAS28 ≤3.2 at 3 and 12 months. Stepwise forward logistic regression was used to explore associations with pactiveRA (outcome). Age and gender were included a priori, with socioeconomic factors and comorbidities as exposure variables. RESULTS: 682 patients with pactiveRA and 1026 plowRA were included. Compared with plowRA, patients with pactiveRA were younger (58, IQR: 49-67) versus (62, IQR: 52-72), and included more women (69% vs 59%). The pactiveRA was associated with worse scores in patient-reported outcomes at baseline, and anxiety and depression screens. Overall, there was clear social patterning in pactiveRA, with age-by-gender interaction. Logistic regression indicated age, gender, social deprivation and previous or current smoking, were independently associated with pactiveRA, after controlling for disease severity markers (seropositivity). Depression, lung disease, gastric ulcers and baseline corticosteroid use, were also associated with pactiveRA (p<0.05 for all). CONCLUSION: Socioeconomic factors and deprivation were associated with pactiveRA, independent of clinical and disease characteristics. Identifying 'adverse' socioeconomic drivers of pactiveRA can help tailor interventions according to individual need.

Association between flavonoid intake and rheumatoid arthritis among US adults.

Basic research shows that flavonoids have anti-inflammatory effects that influence rheumatoid arthritis (RA) in rats. Investigating potential dietary interventions for RA helps prevent the onset and progression of the disease. Clinical evidence on the association of flavonoid and subclass intake with RA is lacking. Using three survey cycles of 2007-2008, 2009-2010, and 2017-2018 from the National Health and Nutrition Survey and the United States Department of Agriculture's Food and Nutrient Database for Dietary Studies (FNDDS), we analyzed 7,419 American adults (≥20 years old). The values of flavonoid and subclass intake were calculated using FNDDS. The status questions for self-reported RA were from the NHANES codebook. Weighted analyses, revealed that among the 7,419 participants included in this study (mean age of 44.69 years [standard error, 0.40] and 3,584 [48.31%] were female), 408 met the classification criteria for RA. According to the multivariable logistic regression model, compared with the risk of RA in the first quartile (Q1), the risks of RA in the second quartile (Q2), the third quartile (Q3) and the fourth quartile (Q4) were lower (Q2: OR=0.55, 95% CI: 0.38-0.80; Q3: OR=0.66, 95% CI: 0.44-0.97; Q4: OR=0.64, 95% CI: 0.46-0.89; trend: P=.03). The association between total flavonoids and RA remained significant after full consideration of confounding factors. With regard to the subclasses of flavonoids, high flavanones intake was associated with low RA prevalence in Model 3 (Q3: OR= 0.60, 95% CI:0.39-0.92; Q4: OR = 0.56, 95% CI: 0.32-0.99, trend: P=.02), but no such association was found in the other subclasses. Total flavonoids intake protected against RA, and the risk of developing RA decreased significantly with increasing intake of total flavonoids. Total flavonoids and flavanones were significantly associated with reduced RA risk for the American adult population. We highlighted the importance of employing diverse methodologies to assess the health effects of flavonoids.

Global pattern, trend, and cross-country inequality of early musculoskeletal disorders from 1990 to 2019, with projection from 2020 to 2050.

BACKGROUND: This study aims to estimate the burden, trends, forecasts, and disparities of early musculoskeletal (MSK) disorders among individuals ages 15 to 39 years. METHODS: The global prevalence, years lived with disabilities (YLDs), disability-adjusted life years (DALYs), projection, and inequality were estimated for early MSK diseases, including rheumatoid arthritis (RA), osteoarthritis (OA), low back pain (LBP), neck pain (NP), gout, and other MSK diseases (OMSKDs). FINDINGS: More adolescents and young adults were expected to develop MSK disorders by 2050. Across five age groups, the rates of prevalence, YLDs, and DALYs for RA, NP, LBP, gout, and OMSKDs sharply increased from ages 15-19 to 35-39; however, these were negligible for OA before age 30 but increased notably at ages 30-34, rising at least 6-fold by 35-39. The disease burden of gout, LBP, and OA attributable to high BMI and gout attributable to kidney dysfunction increased, while the contribution of smoking to LBP and RA and occupational ergonomic factors to LBP decreased. Between 1990 and 2019, the slope index of inequality increased for six MSK disorders, and the relative concentration index increased for gout, NP, OA, and OMSKDs but decreased for LBP and RA. CONCLUSIONS: Multilevel interventions should be initiated to prevent disease burden related to RA, NP, LBP, gout, and OMSKDs among individuals ages 15-19 and to OA among individuals ages 30-34 to tightly control high BMI and kidney dysfunction. FUNDING: The Global Burden of Disease study is funded by the Bill and Melinda Gates Foundation. The project is funded by the Scientific Research Fund of Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (2022QN38).