DA-9601 has protective effects comparable to those of proton pump inhibitor and rebamipide against nonsteroidal anti-inflammatory drugs-induced upper and lower gastrointestinal bleeding in patients with rheumatoid arthritis: A nationwide study using Korean Health Insurance Review and Assessment Service database.

DA-9601 extracted from Artemisia asiatica contains a bioactive compound - eupatilin - that can protect against gastric mucosal damage through anti-inflammatory and anti-oxidative properties and is approved for treating acute and chronic gastritis in Korea, but their ability to protect gastrointestinal (GI) bleeding caused by nonsteroidal anti-inflammatory drugs (NSAIDs) is unclear. We aimed to compare the protective effects of DA-9601 to those of proton pump inhibitors (PPI) and rebamipide against upper and lower GI bleeding in patients with rheumatoid arthritis (RA) undergoing long-term NSAIDs therapy using the Korean Health Insurance Review and Assessment database. In this nationwide retrospective cohort study, we evaluated patients with RA who concurrently received NSAIDs for >3 months with DA-9601, PPI, or rebamipide between January 2015 and December 2017. The index date was the date of NSAIDs initiation, and all patients were followed up until December 2020 to detect upper and lower GI bleeding. In total, 24,258 patients with RA were eligible, and 5468 (22.5%), 4417 (18.2%), and 14,373 (59.3%) received DA-9601, PPI, or rebamipide, respectively, on the index date. During follow-up, upper and lower GI bleeding occurred in 508 (2.1%) and 402 (1.6%) patients with RA, respectively. The incidence rate of upper and lower GI bleeding was 615/100,000 and 485/100,000 person-years, respectively. Among patients with RA receiving DA-9601, PPI, or rebamipide, the frequencies of NSAIDs-induced upper GI bleeding were 0.5%, 0.4%, and 1.2%, respectively. The frequencies of NSAIDs-induced lower GI bleeding were 0.4%, 0.4%, and 0.9%, respectively. The incidence of NSAIDs-induced upper GI bleeding in patients with RA receiving DA-9601, PPI, and rebamipide was 601/100,000, 705/100,000, and 596/100,000 person-years, respectively, while the incidence of NSAIDs-induced lower GI bleeding in the same groups was 449/100,000, 608/100,000, and 465/100,000 person-years, respectively. In the multivariate Cox regression analysis, no significant difference was observed in lower and upper GI bleeding hazards between patients with RA using DA-9601, PPI, and rebamipide. Our results suggest that DA-9601 may exhibit protection against NSAIDs-induced GI bleeding that is comparable to those of PPI and rebamipide in patients with RA.

Social media has become a mainstream source of medical information for patients with rheumatic diseases: a cross-sectional survey of patients.

This study analyzed the status of medical information acquisition through social media (SM) and its impact on healthcare utilization among patients with rheumatic diseases (RDs) who visited the rheumatology department of a tertiary hospital. We consecutively evaluated 102 patients with RDs in this single-center cross-sectional survey. Using a face-to-face survey, patients were asked about the sources they used to acquire medical information, factors influencing their visits to tertiary hospitals, and the potential impact of acquiring medical information on RDs through SM. SM refers to YouTube, Facebook, Instagram, Kakao Channel, Naver Band, and X. The mean age was 42.3 years and 39% were female. The most common disease was ankylosing spondylitis (45.1%), followed by rheumatoid arthritis (20.6%). The most frequent method for acquiring medical information regarding RDs, except for rheumatologists, was internet portal sites (47.8%), followed by SM (40.2%). The most important factor influencing the decision to visit a tertiary hospital was medical doctors (51%); only 1% of the patients responded that SM was the most crucial factor in determining their visit. Most patients (77.5%) responded that acquiring medical information through SM would help them manage their diseases. Our data revealed that a substantial proportion of patients with RDs obtained medical information through SM. However, the impact of SM on visiting a tertiary hospital was minimal, suggesting that SM has become a mainstream source of medical information, yet the reliability of SM remains relatively low. Rheumatology societies should establish SM platforms capable of providing high-quality medical information.

High vegetable consumption and regular exercise are associated with better quality of life in patients with gout.

Background/Aims: The Gout Impact Scale (GIS), a part of the Gout Assessment Questionnaire 2.0, is used to measure gout-specific health-related quality of life (HRQOL). Although several studies have been conducted on the factors affecting the HRQOL of patients with gout, few have focused on lifestyle factors. This study aimed to investigate the correlation between lifestyle habits and HRQOL using the GIS in patients with gout. Methods: We used data from the Urate-Lowering TheRApy in Gout (ULTRA) registry, a prospective cohort of Korean patients with gout treated at multiple centers nationwide. The patients were aged ≥18 years and met the 2015 American College of Rheumatology/European League Against Rheumatism gout classification criteria. They were asked to complete a GIS and questions regarding their lifestyle habits at enrollment. Results: The study included 232 patients. 'Gout concern overall' scores in the GIS were significantly lower in patients who exercised more frequently and consumed soft drinks and meat less, and 'well-being during attack' scores were significantly lower in patients who consumed vegetables and exercised more frequently. The frequency of vegetable consumption had a negative linear relationship with the 'well-being during attack' and 'gout concern during attack' scores (p = 0.01, p = 0.001, respectively). The frequency of exercise had a negative linear relationship with the 'gout concern overall' and 'gout concern during attack' scores (p = 0.04 and p = 0.002, respectively). Conclusions: Patients with gout who frequently consumed vegetables and exercised regularly experienced less impact of gout, exhibiting a better GIS that represented HRQOL.

To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice.

OBJECTIVES: To develop recommendations regarding the use of weights to reduce selection bias for commonly performed analyses using electronic health record (EHR)-linked biobank data. MATERIALS AND METHODS: We mapped diagnosis (ICD code) data to standardized phecodes from 3 EHR-linked biobanks with varying recruitment strategies: All of Us (AOU; n = 244 071), Michigan Genomics Initiative (MGI; n = 81 243), and UK Biobank (UKB; n = 401 167). Using 2019 National Health Interview Survey data, we constructed selection weights for AOU and MGI to represent the US adult population more. We used weights previously developed for UKB to represent the UKB-eligible population. We conducted 4 common analyses comparing unweighted and weighted results. RESULTS: For AOU and MGI, estimated phecode prevalences decreased after weighting (weighted-unweighted median phecode prevalence ratio [MPR]: 0.82 and 0.61), while UKB estimates increased (MPR: 1.06). Weighting minimally impacted latent phenome dimensionality estimation. Comparing weighted versus unweighted phenome-wide association study for colorectal cancer, the strongest associations remained unaltered, with considerable overlap in significant hits. Weighting affected the estimated log-odds ratio for sex and colorectal cancer to align more closely with national registry-based estimates. DISCUSSION: Weighting had a limited impact on dimensionality estimation and large-scale hypothesis testing but impacted prevalence and association estimation. When interested in estimating effect size, specific signals from untargeted association analyses should be followed up by weighted analysis. CONCLUSION: EHR-linked biobanks should report recruitment and selection mechanisms and provide selection weights with defined target populations. Researchers should consider their intended estimands, specify source and target populations, and weight EHR-linked biobank analyses accordingly.

Drug Persistence and Incidence of Active Tuberculosis of Tumor Necrosis Factor Alpha Inhibitors Versus Tocilizumab as the First-Line Biological Treatment in Patients with Rheumatoid Arthritis: A Nationwide Population-Based Retrospective Cohort Analysis.

INTRODUCTION: Drug persistence may be a surrogate marker that reflects both long-term efficacy and safety in clinical settings, and tuberculosis (TB) is considered as one of the most important opportunistic infections after the biological treatment in rheumatoid arthritis (RA). We aimed to compare drug persistence and incidence of TB between tumor necrosis factor alpha (TNFα) inhibitors and tocilizumab in patients with RA using data from the Korean Health Insurance Review and Assessment Service database. METHODS: In this analysis, 5449 patients with RA who started TNFα inhibitors, such as adalimumab, etanercept, infliximab, and golimumab or tocilizumab, as the first-line biological therapy between January 2014 and December 2017 were analyzed and followed up until December 2019. Drug persistence was defined as the duration from initiation to first discontinuation, and TB was defined as the prescription of > 2 anti-TB medications after the initiation of biologics. RESULTS: TNFα inhibitors and tocilizumab were prescribed in 4202 (adalimumab, 1413; etanercept, 1100; infliximab, 769; golimumab 920) and 1247 patients with RA, respectively. During the analysis period, 2090 (49.7%) and 477 (38.3%) patients with RA discontinued TNFα inhibitors and tocilizumab, respectively, and 42 patients with RA developed TB (TNFα inhibitors, 33; tocilizumab, 9). After adjustment for confounding factors, TNFα inhibitors were significantly associated with a higher risk of discontinuation compared with tocilizumab (hazard ratio (HR) 1.63, p < 0.001). In subgroup analysis, all types of TNFα inhibitors, except for infliximab, demonstrated a significantly lower persistence rate compared with tocilizumab. There was no significant difference in TB incidence between tocilizumab and TNFα inhibitors. In subgroup analysis, infliximab has a significantly higher risk of TB compared with tocilizumab (HR 2.84, p = 0.02). CONCLUSION: In this analysis, tocilizumab had longer persistence than TNFα inhibitors with a similar incidence of TB. Our analysis has limitations: (1) The HIRA database lacks clinical details like disease activity and joint damage extent, potentially influencing the analysis results. (2) Reasons for discontinuing biological agents were not available. (3) TB diagnoses may be inaccurate because of missing microbiological results. (4) We did not analyze the impact of treating latent TB infection on TB development post-biological treatment, despite mandatory screening in Korea.

Ginkgo biloba extract ameliorates skin fibrosis in a bleomycin-induced mouse model of systemic sclerosis.

Systemic sclerosis (SSc) is a chronic autoimmune disease characterized by skin and internal organ fibrosis and obliterative vasculopathy. Few effective treatments are currently available for fibrosis in SSc, therefore, demand persists for novel therapies. Although use of Ginkgo biloba extract (GBE) has been reported to improve blood circulation and alleviate liver and lung fibrosis, its effect on skin fibrosis in SSc remains unclear. In this study, the effects and underlying mechanisms of GBE on skin fibrosis in bleomycin (BLM)-induced mouse model of SSc was investigated. GBE significantly reduced dermal thickness and protein levels of profibrotic factors in the BLM-induced SSc mouse model. Moreover, GBE inhibited the gene expression of profibrotic factors, such as COL1A1, α-SMA, and connective tissue growth factor (CTGF), in fibroblasts by suppressing transforming growth factor (TGF)-ß signaling. Furthermore, GBE inhibited the transdifferentiation of adipocytes into myofibroblasts. Thus, our findings suggest that GBE is a promising therapeutic candidate for the treatment of SSc.

The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population.

The clinical utility of a type 2 diabetes mellitus (T2DM) polygenic risk score (PRS) in the East Asian population remains underexplored. We aimed to examine the potential prognostic value of a T2DM PRS and assess its viability as a clinical instrument. We first established a T2DM PRS for 5490 Korean individuals using East Asian Biobank data (269,487 samples). Subsequently, we assessed the predictive capability of this T2DM PRS in a prospective longitudinal study with baseline data and data from seven additional follow-ups. Our analysis showed that the T2DM PRS could predict the transition of glucose tolerance stages from normal glucose tolerance to prediabetes and from prediabetes to T2DM. Moreover, T2DM patients in the top-decile PRS group were more likely to be treated with insulin (hazard ratio = 1.69, p value = 2.31E-02) than were those in the remaining PRS groups. T2DM PRS values were significantly high in the severe diabetes subgroup, characterized by insulin resistance and ß -cell dysfunction (p value = 0.0012). The prediction models with the T2DM PRS had significantly greater Harrel's C-indices than did corresponding models without it. By utilizing prospective longitudinal study data and extensive clinical risk factor information, our analysis provides valuable insights into the multifaceted clinical utility of the T2DM PRS.

To weight or not to weight? Studying the effect of selection bias in three large EHR-linked biobanks.

Objective: To explore the role of selection bias adjustment by weighting electronic health record (EHR)-linked biobank data for commonly performed analyses. Materials and methods: We mapped diagnosis (ICD code) data to standardized phecodes from three EHR-linked biobanks with varying recruitment strategies: All of Us (AOU; n=244,071), Michigan Genomics Initiative (MGI; n=81,243), and UK Biobank (UKB; n=401,167). Using 2019 National Health Interview Survey data, we constructed selection weights for AOU and MGI to be more representative of the US adult population. We used weights previously developed for UKB to represent the UKB-eligible population. We conducted four common descriptive and analytic tasks comparing unweighted and weighted results. Results: For AOU and MGI, estimated phecode prevalences decreased after weighting (weighted-unweighted median phecode prevalence ratio [MPR]: 0.82 and 0.61), while UKB's estimates increased (MPR: 1.06). Weighting minimally impacted latent phenome dimensionality estimation. Comparing weighted versus unweighted PheWAS for colorectal cancer, the strongest associations remained unaltered and there was large overlap in significant hits. Weighting affected the estimated log-odds ratio for sex and colorectal cancer to align more closely with national registry-based estimates. Discussion: Weighting had limited impact on dimensionality estimation and large-scale hypothesis testing but impacted prevalence and association estimation more. Results from untargeted association analyses should be followed by weighted analysis when effect size estimation is of interest for specific signals. Conclusion: EHR-linked biobanks should report recruitment and selection mechanisms and provide selection weights with defined target populations. Researchers should consider their intended estimands, specify source and target populations, and weight EHR-linked biobank analyses accordingly.

Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction.

BACKGROUND: Genetic variants can contribute differently to trait heritability by their functional categories, and recent studies have shown that incorporating functional annotation can improve the predictive performance of polygenic risk scores (PRSs). In addition, when only a small proportion of variants are causal variants, PRS methods that employ a Bayesian framework with shrinkage can account for such sparsity. It is possible that the annotation group level effect is also sparse. However, the number of PRS methods that incorporate both annotation information and shrinkage on effect sizes is limited. We propose a PRS method, PRSbils, which utilizes the functional annotation information with a bilevel continuous shrinkage prior to accommodate the varying genetic architectures both on the variant-specific level and on the functional annotation level. RESULTS: We conducted simulation studies and investigated the predictive performance in settings with different genetic architectures. Results indicated that when there was a relatively large variability of group-wise heritability contribution, the gain in prediction performance from the proposed method was on average 8.0% higher AUC compared to the benchmark method PRS-CS. The proposed method also yielded higher predictive performance compared to PRS-CS in settings with different overlapping patterns of annotation groups and obtained on average 6.4% higher AUC. We applied PRSbils to binary and quantitative traits in three real world data sources (the UK Biobank, the Michigan Genomics Initiative (MGI), and the Korean Genome and Epidemiology Study (KoGES)), and two sources of annotations: ANNOVAR, and pathway information from the Kyoto Encyclopedia of Genes and Genomes (KEGG), and demonstrated that the proposed method holds the potential for improving predictive performance by incorporating functional annotations. CONCLUSIONS: By utilizing a bilevel shrinkage framework, PRSbils enables the incorporation of both overlapping and non-overlapping annotations into PRS construction to improve the performance of genetic risk prediction. The software is available at https://github.com/styvon/PRSbils .

A large pulmonary nodule in a rheumatoid arthritis patient treated with tofacitinib.

Pulmonary rheumatoid nodules are rare extra-articular manifestations of rheumatoid arthritis (RA). They are usually asymptomatic but may form cavities and cause clinical symptoms. These nodules are difficult to differentiate clinically and radiologically from tuberculosis, fungal infection, or lung malignancies. Histopathological studies help in the differential diagnosis of pulmonary nodules in patients with RA; however, an effective treatment for rheumatoid lung nodules has not yet been established. This study reports a case of active RA with interstitial lung disease and a large inflammatory lung nodule that was improved with tofacitinib treatment.

Efficacy and safety of intravenous belimumab in a subgroup of South Korean patients with systemic lupus erythematosus enrolled into a Phase 3, randomized, placebo-controlled trial in North East Asia.

AIM: This post hoc analysis evaluated the efficacy and safety of intravenous belimumab 10 mg/kg in the South Korean subgroup of patients with systemic lupus erythematosus (SLE) enrolled in the North East Asia (NEA) study (GSK Study BEL113750; NCT01345253). METHODS: NEA was a double-blind, placebo-controlled, randomized Phase 3 trial. Patients with active, autoantibody-positive SLE were randomized 2:1 to belimumab or placebo plus standard therapy administered on Days 0, 14, and 28, and then every 28 days up to Week 48. The primary efficacy endpoint in this analysis was SLE Responder Index 4 (SRI-4) response rate at Week 52, defined as the proportion of patients achieving a ≥4-point reduction in Safety of Estrogens in Lupus Erythematosus National Assessment-SLE Disease Activity Index (SELENA-SLEDAI) score, no worsening (<0.3 increase from baseline) in Physician Global Assessment, no new British Isles Lupus Assessment Group (BILAG) A domain and <2 new BILAG B domain scores. RESULTS: Among 100 South Korean patients enrolled in NEA, 54/66 (81.8%) belimumab- and 24/34 (70.6%) placebo-treated patients completed the double-blind phase. Significantly more belimumab- than placebo-treated patients achieved SRI-4 response at Week 52 (n = 35/66, 53.0% vs. n = 8/34, 23.5%; odds ratio [OR; 95% confidence interval (CI)]: 3.67 [1.45, 9.28]; p = .0061). The proportion of patients experiencing ≥1 adverse event was similar between groups (belimumab: n = 60/66, 90.9% vs. placebo: n = 31/34, 91.2%). No new safety signals emerged in this subgroup analysis. CONCLUSION: Belimumab was efficacious for the treatment of SLE and well tolerated among the South Korean subgroup of patients from the NEA study.

Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks.

OBJECTIVE: To overcome the limitations associated with the collection and curation of COVID-19 outcome data in biobanks, this study proposes the use of polygenic risk scores (PRS) as reliable proxies of COVID-19 severity across three large biobanks: the Michigan Genomics Initiative (MGI), UK Biobank (UKB), and NIH All of Us. The goal is to identify associations between pre-existing conditions and COVID-19 severity. METHODS: Drawing on a sample of more than 500,000 individuals from the three biobanks, we conducted a phenome-wide association study (PheWAS) to identify associations between a PRS for COVID-19 severity, derived from a genome-wide association study on COVID-19 hospitalization, and clinical pre-existing, pre-pandemic phenotypes. We performed cohort-specific PRS PheWAS and a subsequent fixed-effects meta-analysis. RESULTS: The current study uncovered 23 pre-existing conditions significantly associated with the COVID-19 severity PRS in cohort-specific analyses, of which 21 were observed in the UKB cohort and two in the MGI cohort. The meta-analysis yielded 27 significant phenotypes predominantly related to obesity, metabolic disorders, and cardiovascular conditions. After adjusting for body mass index, several clinical phenotypes, such as hypercholesterolemia and gastrointestinal disorders, remained associated with an increased risk of hospitalization following COVID-19 infection. CONCLUSION: By employing PRS as a proxy for COVID-19 severity, we corroborated known risk factors and identified novel associations between pre-existing clinical phenotypes and COVID-19 severity. Our study highlights the potential value of using PRS when actual outcome data may be limited or inadequate for robust analyses.