Poor prognostic factors guiding treatment decisions in rheumatoid arthritis patients: a review of data from randomized clinical trials and cohort studies

High-Titer Rheumatoid Factor is Associated with Worse Clinical Outcomes and Higher Needs for Advanced Therapies in Rheumatoid Arthritis Under Real-Life Conditions

INTRODUCTION

Rheumatoid factor (RF) plays an important role in rheumatoid arthritis (RA) pathophysiology, yet the differential effects of varying RF titers remain understudied. We evaluated associations between different RF titers and clinical outcomes in long-standing RA.

METHODS

This multicenter, cross-sectional study included adults meeting ACR/EULAR (2010) criteria for RA. Circulating RF titers and clinical-epidemiological characteristics were evaluated. Bivariate (Student's t and chi-squared tests) tests and multiple logistic and linear regression analyses were conducted.

RESULTS

We included 1097 participants; 78.7% had positive RF, with high titers (≥ 3 × the upper limit of normality) in 56.2%. Negative vs. low-positive RF groups performed similarly concerning all clinical outcomes, being subsequently aggregated as "non-high" RF group. High RF titers (compared to "non-high") were associated with tobacco use (odds ratio, OR [95% confidence interval, CI]: 2.04 [1.35, 3.08]; p < 0.001), multiraciality (OR [95% CI] 1.31 [1.03, 1.67]; p = 0.028, compared to White race), and higher body mass index (mean difference [95% CI] 0.69 [0.05, 1.33] kg/m2; p = 0.033). In multivariate analyses, high-titer RF was independently associated with higher disease activity (Clinical Disease Activity Index, CDAI: β = 2.44 [0.89, 3.99], p = 0.002), worse functional capacity (Health Assessment Questionnaire Disability Index, HAQ-DI: β = 0.112 [0.018, 0.205], p = 0.020); extra-articular manifestations (OR 1.48 [1.09, 2.00], p = 0.011); increased corticosteroid (OR 1.53 [1.19, 1.96], p = 0.001) and biological disease-modifying antirheumatic drugs (bDMARD) use (OR 1.41 [1.08, 1.84], p = 0.011).

CONCLUSIONS

High RF titers in long-standing RA were associated with worse disease activity, lower physical functionality, increased extra-articular manifestations, and higher usage of corticosteroids and bDMARDs. Comparing high vs. non-high RF titers (rather than positive vs. negative RF) seems more useful for evaluating the clinical effects of RF in RA. This approach should be considered in future studies of RF.

Impact of high rheumatoid factor levels on treatment outcomes with certolizumab pegol and adalimumab in patients with rheumatoid arthritis

OBJECTIVES

To assess the impact of baseline RF level on drug concentrations and efficacy of certolizumab pegol [CZP; TNF inhibitor (TNFi) without a crystallizable fragment (Fc)] and adalimumab (ADA; Fc-containing TNFi) in patients with RA.

METHODS

The phase 4 EXXELERATE study (NCT01500278) was a 104-week, randomized, single-blind (double-blind until week 12; investigator-blind thereafter), head-to-head study of CZP vs ADA in patients with RA. In this post hoc analysis, we report drug concentration and efficacy outcomes stratified by baseline RF quartile (≤Q3 or >Q3).

RESULTS

Baseline data by RF quartiles were available for 453 CZP-randomized and 454 ADA-randomized patients (≤Q3: ≤204 IU/ml; >Q3: >204 IU/ml). From week 12, the area under the curve (AUC) of ADA concentration was lower in patients with RF >204 IU/ml vs patients with RF ≤204 IU/ml; the AUC of CZP concentration was similar in patients with RF ≤204 IU/ml and >204 IU/ml. For patients with RF ≤204 IU/ml, disease activity score (DAS28)-CRP was similar between CZP- and ADA-treated patients through week 104. For patients with RF >204 IU/ml, mean DAS28-CRP was lower in CZP- vs ADA-treated patients at week 104. The proportion of patients with RF >204 IU/ml achieving DAS28-CRP low disease activity at week 104 was greater in CZP- vs ADA-treated patients.

CONCLUSION

CZP was associated with maintained drug concentration and efficacy in patients with RA and high RF and may therefore be a more suitable therapeutic option than TNFis with an Fc fragment in these patients.

TRIAL REGISTRATION

Clinicaltrials.gov, http://clinicaltrials.gov, NCT01500278.

Poor prognostic factors independently impact remission and treatment escalation in rheumatoid arthritis regardless of disease activity: A nationwide prospective cohort study

OBJECTIVE

To elucidate the impact of poor prognostic factors (PPFs) in daily practice on achieving remission and the requirement for biologic or targeted synthetic DMARDs (b/tsDMARDs) in a large Korean cohort of patients with rheumatoid arthritis (RA).

METHODS

Using the KORean Observational study Network for Arthritis (KORONA) database, patients with RA were categorized into three groups based on the number of PPFs (0-1, 2, or≥3): the presence of functional limitation, extra-articular disease, seropositivity, and bone erosions. Factors related to achieving remission and to initiating b/tsDMARDs were evaluated using Cox proportional hazard regression analyses after adjusting confounders.

RESULTS

Among 5076 patients with RA, group L (PPF≤1), group M (PPFs 2), and group H (PPFs≥3) were 1788 (35.2%), 2027 (39.9%), and 1261 (24.9%), respectively. Group H had higher disease activity and worse patient-reported outcomes than groups L and M. Among moderately-to-highly active patients at baseline, group H was significantly less likely to attain point (hazard ratio [HR]=0.55, 95% confidence interval [CI] 0.38-0.79) and sustained (HR=0.45, 95% CI 0.21-0.99) Boolean-based remission in 5-year. Groups M (HR=1.47, 95% CI 1.10-1.96) and H (HR=1.69, 95% CI 1.22-2.32) had an increased risk of escalation to b/tsDMARDs, compared to group L among b/tsDMARDs-naïve patients at baseline.

CONCLUSION

Achieving remission was particularly challenging for group H, and more patients in groups M and H initiated b/tsDMARDS during the 5-year observation period. Therefore, the presence of PPFs≥3 significantly influences both patients' outcomes and clinician's treatment decisions regardless of disease activity.

Efficacy of golimumab in rheumatoid arthritis patients at high risk of a poor prognosis: Post hoc analysis of GO-FORTH study using cluster analysis

OBJECTIVES

Our objective was to assess the efficacy of golimumab (GLM) in patients with poor prognostic factors (PPFs).

METHODS

This is a post hoc analysis of GO-FORTH Phase 2/3 study. Cluster analysis was used to determine a patient population with high-risk patterns based on seven PPFs suggested by the European Alliance of Associations for Rheumatology recommendations and limited physical function. Radiographic progression, disease activity, and physical function and associated factors were evaluated over 52 weeks.

RESULTS

Overall, 261 rheumatoid arthritis patients were classified into three clusters characterised by high disease activity, high C-reactive protein levels, and limited physical function at baseline. GLM showed suppression of progressive modified total sharp score and decreases in Disease Activity Score 28-joint counts with erythrocyte sedimentation rate and Health Assessment Questionnaire - Disease Index, in all the clusters. In Cluster C that showed almost all the PPF characteristics, a higher rate of change in modified total sharp score ≤0 was observed in GLM 100 mg group than in GLM 50 mg group (63.9% versus 46.5%). C-reactive protein concentration and physical limitation were associated with radiographic progression of Cluster C in GLM treatment.

CONCLUSIONS

GLM was effective in rheumatoid arthritis patients in a subpopulation at high risk of PPF in GO-FORTH study. A dose of 100 mg may be more beneficial in preventing radiographic progression in this population.

On difficulties to define prognostic factors for clinical practice in rheumatoid arthritis

In rheumatoid arthritis (RA), the identification of prognostic factors (PF) capable of predicting disease outcome, response to treatment or success of dose reduction is an important issue, as these factors are intended to serve as a basis for decision-making. The task is complex from the outset, as the definition of disease prognosis or therapeutic prognosis is not uniquevocal. The heterogeneity of the definitions used partly explains the failure to identify PF that can be applied at an individual level. But other factors also contribute. First, the scope of the disease studied is too broad, including nosologically different entities. Second, potential PF are only measured at a single point of time, whereas changes over a period of time should be taken into account to a greater extent, not forgetting the potential impact of the treatment received during this period. Beyond these limiting factors, one of the main obstacles to the identification of PF is probably the fact that the phase of the disease is not sufficiently taken into account. Predicting the disease outcome when it is well established is a more complex challenge than when it is just beginning, as many factors are likely to interfere. The same applies to therapeutic PF, which should be determined according to disease duration. Difficulties also arise from the approaches used, which are often restricted to a single field of interest whereas they should be much more integrative and call on new large-scale data analysis tools with a view to precision medicine.In RA, prognosis can be defined at two levels: disease outcome, including joint damage and risk of extra-articular manifestations and/or complications, and treatment outcome, including response to therapy, risk of adverse effects and drug-free remission.

Predictive factors of methotrexate monotherapy success in patients with rheumatoid arthritis in a national referral center: a cohort study

BACKGROUND

Methotrexate (MTX) remains the recommended first-line treatment for rheumatoid arthritis (RA); however, its response varies and is influenced by various factors. This study aimed to identify predictors of MTX monotherapy treatment success in an Indonesian cohort.

METHODS

This retrospective cohort study included newly diagnosed RA patients receiving MTX monotherapy. Treatment success was defined as achieving remission or low disease activity according to Disease Activity Score-28 with erythrocyte sedimentation rate (DAS28-ESR) after 12 months of MTX therapy. The association between demographic, clinical, and laboratory factors and achieving therapy targets was evaluated using multivariate logistic regression analysis.

RESULTS

Among 254 subjects, 59.4% achieved treatment success with MTX monotherapy, with remission attained in 33% and low disease activity in 26.4%. Most subjects were female (95.7%) with a mean age of 48 ± 11 years. Multivariate analysis revealed that lower disease activity (OR 1.97; 95% CI [1.04-3.72]), normal ESR (OR 2.58; 95% CI [1.05-6.34]), normoweight (OR 2.55, 95% CI [1.45-4.49]), and tender joint count ≤ 5 (OR 2.45, 95% CI [1.31-4.58]) were significant predictors of treatment success.

CONCLUSION

The rate of MTX monotherapy success in our study was 59.4%. Lower disease activity, normal ESR, normoweight, and fewer tender joints at baseline were significant predictors of treatment success.

A hierarchical cluster analysis for clinical profiling of tofacitinib treatment response in patients with rheumatoid arthritis

Tofacitinib is the first oral JAK inhibitor approved for treating rheumatoid arthritis (RA). To enhance our understanding of tofacitinib drug response, we used hierarchical clustering to analyse the profiles of patient who responded to the treatment in a real-world setting. Patients who commenced on tofacitinib treatment were selected from 12 major rheumatology centres in Malaysia. The aim was to assess their response to tofacitinib defined as achieving DAS28-CRP/ESR ≤ 3.2 and DAS28 improvement > 1.2 at 12 weeks. A hierarchical clustering analysis was performed using sociodemographic and clinical parameters at baseline. All 163 RA patients were divided into three clusters (Clusters 1, 2 and 3) based on specific clinical factors at baseline including bone erosion, antibody positivity, disease activity and anaemia status. Cluster 1 consisted of RA patients without bone erosion, antibody negative, low baseline disease activity measure and absence of anaemia. Cluster 2 comprised of patients without bone erosion, RF positivity, anti-CCP negativity, moderate to high baseline disease activity score and absence of anaemia. Cluster 3 patients had bone erosion, antibody positivity, high baseline disease activity and anaemia. The response rates to tofacitinib varied among the clusters: Cluster 1 had a 79% response rate, Cluster 2 had a 66% response rate, and Cluster 3 had a 36% response rate. The differences in response rates between the three clusters were found to be statistically significant. This cluster analysis study indicates that patients who are seronegative and have low disease activity, absence of bone erosion and no signs of anaemia may have a higher likelihood of benefiting from tofacitinib therapy. By identifying clinical profiles that respond to tofacitinib treatment, we can improve treatment stratification yielding significant benefits and better health outcomes for individuals with RA.

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.

Elevated Serum Levels of YKL-40, YKL-39, and SI-CLP in Patients with Treatment Failure to DMARDs in Patients with Rheumatoid Arthritis

Around 30-60% of patients with rheumatoid arthritis (RA) present treatment failure to conventional synthetic disease-modifying antirheumatic drugs (csDMARDs). Chitinase-like proteins (CLPs) (YKL-40, YKL-39, SI-CLP) might play a role, as they are associated with the inflammatory process. This study aimed to evaluate CLP utility as a biomarker in the treatment failure of csDMARDs. A case-control study included 175 RA patients classified into two groups based on therapeutic response according to DAS28-ESR: responders (DAS28 < 3.2); non-responders (DAS28 ≥ 3.2). CLP serum levels were determined by ELISA. Multivariable logistic regression and receiver operating characteristic (ROC) curves were used to evaluate CLPs' utility as biomarkers of treatment failure. Non-responders presented higher levels of YKL-40, YKL-39, and SI-CLP compared with responders (all: p < 0.001). YKL-40 correlated positively with YKL-39 (rho = 0.39, p < 0.001) and SI-CLP (rho = 0.23, p = 0.011) and YKL-39 with SI-CLP (rho = 0.34, p < 0.001). The addition of CLPs to the regression models improves diagnostic accuracy (AUC 0.918) compared to models including only clinical classical variables (AUC 0.806) p < 0.001. Non-responders were positive for all CLPs in 35.86%. Conclusions: CLPs could be considered as a useful biomarker to assess treatment failure, due to their association with clinical variables and improvement to the performance of regression models.

Differences in referral path, clinical and radiographic outcomes between seronegative and seropositive rheumatoid arthritis Mexican Mestizo patients: A cohort study

BACKGROUND

The study compared the referral path, the first two-year clinical outcomes, and the first five-year radiographic outcomes between seronegative patients (SNPs) from a recent-onset rheumatoid arthritis dynamic cohort initiated in 2004 and seropositive patients (SPPs). Predictors of incidental erosive disease were investigated.

PATIENTS AND METHODS

Up to March 2023, one independent observer reviewed the charts from 188 patients with at least two years of clinical assessments and up to five years of annual radiographic assessments. SNPs were defined when baseline RF and ACPA serum titers were within local normal ranges. The erosive disease was defined on hand and/or foot radiographs when at least one unequivocal cortical bone defect was detected. The incidental erosive disease was defined in baseline erosive disease-free patients who developed erosions at follow-ups. Multivariate Cox regression analyses identified hazard ratios (95% confidence interval) for factors to predict incidental erosive disease.

RESULTS

There were 17 (9%) SNPs, and they had a shorter time from symptoms onset to first physician evaluation, visited a lower number of physicians, and received less intensive treatment at referral and during the first years of follow-up than SPPs. Also, they had fewer 0-66 swollen joints and were less frequently persistent on therapy. The erosive disease was detected only in SPPs, and its frequency increased from 10.1% at baseline to 36.1% at the five-year radiographic assessment. There were 53 (31.4%) patients with incidental erosive disease, and differences between SPPs and SNPs were statistically significant at the feet location. Incidental erosive disease was predicted by baseline ACPA, ESR, substantial morning stiffness, and cumulative CRP.

CONCLUSIONS

SNPs showed mild differences in their referral path and clinical outcomes compared to SPPs. However, erosive disease was detected only in SPPs and was predicted by baseline and cumulative clinical and serologic variables.

Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases

Analysing complex diseases such as chronic inflammatory joint diseases (CIJDs), where many factors influence the disease evolution over time, is a challenging task. CIJDs are rheumatic diseases that cause the immune system to attack healthy organs, mainly the joints. Different environmental, genetic and demographic factors affect disease development and progression. The Swiss Clinical Quality Management in Rheumatic Diseases (SCQM) Foundation maintains a national database of CIJDs documenting the disease management over time for 19'267 patients. We propose the Disease Activity Score Network (DAS-Net), an explainable multi-task learning model trained on patients' data with different arthritis subtypes, transforming longitudinal patient journeys into comparable representations and predicting multiple disease activity scores. First, we built a modular model composed of feed-forward neural networks, long short-term memory networks and attention layers to process the heterogeneous patient histories and predict future disease activity. Second, we investigated the utility of the model's computed patient representations (latent embeddings) to identify patients with similar disease progression. Third, we enhanced the explainability of our model by analysing the impact of different patient characteristics on disease progression and contrasted our model outcomes with medical expert knowledge. To this end, we explored multiple feature attribution methods including SHAP, attention attribution and feature weighting using case-based similarity. Our model outperforms temporal and non-temporal neural network, tree-based, and naive static baselines in predicting future disease activity scores. To identify similar patients, a k-nearest neighbours regression algorithm applied to the model's computed latent representations outperforms baseline strategies that use raw input features representation.

A Review of Difficult-to-Treat Rheumatoid Arthritis: Definition, Clinical Presentation, and Management

PURPOSE OF REVIEW

A subset of patients with rheumatoid arthritis (RA) who fail multiple biologic therapies are deemed to have "difficult-to-treat" (D2T) RA. In 2021, a European Alliance of Associations for Rheumatology (EULAR) task force proposed a clinical definition of D2T RA. Here we review RA phenotypes and clinical assessment of RA, propose a different definition of D2T RA, discuss possible D2T RA risk factors, and summarize existing literature on the management of D2T RA.

RECENT FINDINGS

High disease activity at the time of diagnosis or prior to treatment with a biologic is associated with the development of D2T RA. Prolonged time from diagnosis to beginning treatment has been consistently associated with the development of D2T RA. Other clinical factors such as burden of disease, extraarticular disease, obesity, smoking, pain, fatigue, and psychological conditions have inconsistent associations with D2T RA according to current literature. D2T RA is a relatively new concept that represents an area of great need for research regarding the characterization of those with the disease as well as how best to treat the disease. With this gained knowledge, rheumatologists will be able to better identify patients at the time of diagnosis that are likely to develop D2T RA to help guide management.

Prevention of Radiographic Progression in Higher-Risk Patients with Rheumatoid Arthritis Using Filgotinib in Phase III Studies: Narrative Review of Post Hoc Analyses

Filgotinib is an oral preferential Janus kinase 1 inhibitor that demonstrated significant reductions in radiographic progression, with an acceptable tolerability and safety profile, vs placebo in patients with rheumatoid arthritis (RA) and an inadequate response to methotrexate (MTX-IR; FINCH 1) and vs MTX in MTX-naïve patients with RA (FINCH 3). International treatment guidelines identify multiple poor prognostic factors (PPFs) associated with worse disease outcomes among patients with RA. However, questions remain both about the clinical utility of considering PPFs and about which PPFs should drive treatment decisions. Additionally, the role of radiographic findings in clinical practice continues to be discussed and to evolve. This review examines radiographic results from post hoc analyses of phase 3 trials of filgotinib that examined subgroups with 4 PPFs or with baseline estimated rapid radiographic progression (e-RRP). In MTX groups, there were trends toward greater progression among patients with 4 PPFs or e-RRP, suggesting these subgroups may comprise a higher-risk population. Results show general consistency for the efficacy of filgotinib 200 mg plus MTX vs placebo plus MTX/MTX monotherapy on radiographic assessments, including change from baseline in modified total Sharp score and proportions without radiographic progression, even among MTX-IR or MTX-naïve patients with 4 PPFs or e-RRP who may be at higher risk of bone damage. Multivariate analysis identified multiple factors associated with baseline e-RRP status. This summary of the current understanding of benefits associated with filgotinib on radiographic progression and the relevance of baseline factors to these benefits may help inform treatment decisions for patients facing high risk of radiographic progression.

The prognostic value of 99m Tc-glucosamine imaging in patients with rheumatoid arthritis: a single center prospective study

OBJECTIVES

Poor prognostic factors in rheumatoid arthritis (RA) are associated with a more severe form of the disease. Nuclear medicine functional imaging has shown remarkable merit at identifying active disease in patients with RA and is increasingly being used in this regard. However, its prognostic value has not been evaluated thoroughly. We aimed to assess the prognostic value of technetium-99m ( 99m Tc-) glucosamine imaging in patients with RA.

METHODS

Twenty-two participants diagnosed by an experienced rheumatologist with RA were recruited for inclusion in the study. Blood samples were obtained from each participant for baseline C-reactive protein, erythrocyte sedimentation rate, rheumatoid factor (RF) and anti-cyclic citrullinated peptide (anti-CCP) antibody titer. On the same day, each participant was injected with 20-25 millicurie (mCi) of 99m Tc-glucosamine. Planar and single-photon emission computed tomography images of known disease sites were acquired up to 2 hours after radiopharmaceutical administration. Affected joints were qualitatively assessed and graded for 99m Tc-glucosamine uptake and compared with blood results.

RESULTS

All participants affected joints had an increased uptake of the radiopharmaceutical, with 14 (63.6%) having elevated RF and anti-CCP antibody titers. Eight of the 14 patients with increased RF and anti-CCP antibodies had grade 3 uptake of 99m Tc-glucosamine. The remaining 6 had grade 2 uptake. A significant correlation between higher grade uptake and increased levels of RF and anti-CCP antibodies ( P  = 0.031) was observed.

CONCLUSION

We found a strong correlation between high-grade disease on imaging and the presence of RF and anti-CCP antibodies in patients with RA.

The Clinical Utility of Musculoskeletal Ultrasound for Disease Activity Evaluation and Therapeutic Response Prediction in Rheumatoid Arthritis Patients: A Narrative Review

Rheumatoid arthritis (RA) is characterized by persistent synovitis and joint/bone destruction. There is an unmet need to predict the therapeutic response to disease-modifying anti-rheumatic drugs (DMARDs) and achieve a treat-to-target goal. Musculoskeletal ultrasound (MSUS) is widely used to identify structural change and assess therapeutic response in RA. This review aims to summarize the available evidence regarding the clinical application of MSUS in evaluating disease activity and predicting therapeutic responses to DMARDs. We searched the MEDLINE database using the PubMed interface and reviewed English-language literature from 2000 to 2022. This review focuses on the updated role of MSUS in assessing disease activity and predicting therapeutic responses to DMARDs in RA patients. MSUS is now widely applied to identify articular structural change and assess the disease activity of RA. Combined use of gray scale and power Doppler MSUS is also superior to clinical assessment and laboratory examination in evaluating disease activity of RA. With portable use, good viability, and high sensitivity to articular inflammation, MSUS would be useful in assessing therapeutic response to biologic/targeted synthetic DMARDs (b/tsDMARDs) in RA patients. Given MSUS could also detect subclinical inflammation in a substantial proportion of RA patients with clinical remission, it is recommended to assess b/tsDMARDs-treated RA patients who have achieved low disease activity or remission. Although substantial literature data have revealed clinical utility of MSUS for monitoring disease activity and evaluating therapeutic response in RA patients, the evidence regarding its predictive value for the effectiveness of b/tsDMARDs is limited.

Factors influencing prescribing the first add-on disease-modifying antirheumatic drugs in patients initiating methotrexate for rheumatoid arthritis

Background

Advances in Disease-Modifying Antirheumatic Drugs (DMARDs) have expanded the treatment landscape for Rheumatoid Arthritis (RA). Guidelines recommend adding either conventional synthetic (cs), biologic (b), or targeted synthetic (ts) DMARDs to methotrexate (MTX) for managing RA. Limited evidence exists regarding the factors that contribute to adding a DMARD agent to the MTX regimen. This study examined the factors associated with adding the first DMARD in RA patients initiating MTX.

Methods

This retrospective cohort study utilized the MarketScan data (2012-2014) involving adults (aged ≥18) with RA initiating an MTX (index date) between Jul 1, 2012 and Dec 30, 2013, and with continuous enrollment for the 6-month pre-index period. The combination therapy users received the first treatment addition of DMARD starting from day 30 after the index MTX over one year period. The study focused on the addition of csDMARDs, Tumor Necrosis Factor Inhibitors (TNFi) bDMARDs, non-TNFi bDMARDs, or tsDMARDs. Baseline covariates were measured in the 6-month pre-index and grouped into predisposing, enabling, and need factors, as per the Andersen Behavior Model. Multivariable logistic regression examined the factors associated with the addition of TNFi compared to adding a csDMARD. An additional regression model evaluated the factors associated with adding any biologic (combining TNFi and non-TNFi biologics).

Results

Among 8350 RA patients starting MTX, 31.92% (n = 2665) initiated any DMARD within the 1-year post-index period. Among RA patients initiating a DMARD prescription after starting MTX, 945 (11.32%) received combination therapy with treatment addition of a DMARD to MTX regimen; majority added TNFi (550, 58%), followed by csDMARD (352, 37%); non-TNF biologic (40, 4%), or tsDMARD (3, 0.3%). The tsDMARD group was limited and was not included for further analysis. The multivariable model found Preferred Provider Organization insurance coverage (odds ratio [OR], 1.43; 95% confidence interval (CI), 1.06-1.93), chronic pulmonary disease (OR, 1.98; 95% CI, 1.14-3.44), liver disease (OR, 5.24; 95% CI, 1.77-15.49), and Elixhauser score (OR, 0.91; 95% CI, 0.86-0.97) were significantly associated with the addition of TNF-α inhibitors. The separate multivariable model additionally found that patients from metropolitan areas (OR, 1.50; 95% CI, 1.04-2.16) were positively associated with adding any biological agent.

Conclusions

TNFi are often added to MTX for managing RA. Enabling and need factors contribute to the prescribing of a TNFi add-on therapy in RA. Future research should examine the impact of these combination therapies on RA management.

High plasma homocysteine level is associated with increased prevalence of the non-remission state in rheumatoid arthritis: Findings from the KURAMA cohort

OBJECTIVES

We aimed to determine the clinical impact of plasma homocysteine levels on disease activity and clinical remission in patients with rheumatoid arthritis (RA).

METHODS

A cross-sectional study was conducted using KURAMA (Kyoto University Rheumatoid Arthritis Management Alliance) database. We enrolled 291 female patients, who were treated in a treat-to-target manner. We measured plasma total homocysteine using a liquid chromatography-tandem mass spectrometry system and collected clinical data including a 28-joint RA disease activity score-erythrocyte sedimentation rate (DAS28-ESR). Clinical remission of disease activity was defined as a DAS28-ESR < 2.6.

RESULTS

In a univariable analysis, the plasma homocysteine concentration was significantly and positively associated with DAS-28-ESR and was higher in the non-remission group than in the remission group. The cutoff value of the plasma homocysteine level was calculated to be 7.9 nmol/mL by the test of the receiver operating characteristic curve analysis. In a multivariable analysis, after adjusting for clinically relevant variables, the high homocysteine level remained a significant positive association for DAS28-ESR (estimate 0.27, P = .0019) and a positive factor for the presence of RA non-remission (odds ratio 2.39, P = .0071).

CONCLUSIONS

Increased plasma homocysteine levels showed a significant positive association with current disease activity and the non-remission state in female patients with RA under treat-to-target treatment. The findings suggest the potential utility of plasma homocysteine as a disease state marker reflecting conditions that are treatment failure and difficult to remission and may provide clinical evidence on the interplay between homocysteine and inflammatory activation in RA.

Meaningful Improvement and Worsening in Patients Who Do Not Achieve Low Disease Activity and Switch Therapy to a New Biologic or Targeted Disease-Modifying Antirheumatic Drug: Results From the CorEvitas RA Registry

OBJECTIVE

The aim of this study was to assess the change in disease activity associated with switching from 1 biologic/targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD) to another in patients with rheumatoid arthritis who did not achieve low disease activity (LDA) after 6 to 12 months of their initial treatment.

METHODS

This observational study included patients from the CorEvitas Rheumatoid Arthritis Registry, who initiated a b/tsDMARD at the index visit (prebaseline), had any clinical disease activity index (CDAI) improvement but did not achieve LDA/remission at the subsequent visit (baseline), and switched therapy at baseline or between baseline and follow-up visits. Regardless of the preswitch CDAI value, 2 thresholds of CDAI change were used to define meaningful improvement and worsening for all patients: ≥6 units and ≥12 units; no meaningful change was defined as any change between -6 to +6 units and -12 to +12 units, based on respective thresholds.

RESULTS

Of 1226 patients fulfilling the inclusion criteria, 93 (7.6%) switched therapy at baseline or between baseline and follow-up, after an inadequate response at the baseline visit. At follow-up, meaningful worsening occurred in 30.1% and 12.9% of switchers, whereas the remaining switchers achieved meaningful improvement (34.4% and 20.4%) or had no meaningful change (35.5% and 66.7%), based on the thresholds of ≥6 and ≥12 units, respectively.

CONCLUSIONS

Rheumatoid arthritis patients, who had not achieved LDA and switched b/tsDMARD, were more likely to have meaningful improvement or no change, rather than meaningful worsening. These data may help some patients overcome their hesitancy to switch therapy, potentially improving clinical outcomes.

Adiponectin and Leptin as Biomarkers of Disease Activity and Metabolic Disorders in Rheumatoid Arthritis Patients

Background

Rheumatoid arthritis (RA) is an autoimmune disease, characterized by inflammation of multiple joints, resulting in irreversible cartilage and bone destruction. Chronic disease activity may be associated with metabolic disorders and premature atherosclerosis. Adipokines are involved not only in metabolism regulation, but also in inflammatory and immune response.

Aim

This study is designed to explore relationships between adipokines (adiponectin, leptin) and metabolic parameters, as well as disease activity, in patients with chronic RA.

Methods

This cross-sectional study enrolled 109 patients with RA. The clinical assessment was performed including tender and swollen joint counts, Disease Activity Score 28 (DAS28), body mass index (BMI). The following laboratory parameters were performed: erythrocyte sedimentation rate, C-reactive protein, glucose, lipid profile, creatinine. Serum levels of adiponectin and leptin were assessed by enzyme-linked immunosorbent assay (ELISA).

Results

The mean adiponectin and leptin serum concentrations remained within normal ranges. Both, adiponectin and leptin levels were not associated with current disease activity markers (clinical and laboratory), and type of treatment. Significant relationships were found between adipokines and metabolic parameters, as well as with coexistent conditions and RA characteristics. Higher leptin levels were noticed in patients with hypertension. In the multiple linear regression analysis, correlations were confirmed. Adiponectin was positively correlated with HDL-C (b = 0.37, p < 0.001), age (b = 0.39, p< 0.001), and negatively with glucose (b = -0.17, p = 0.03). Leptin was positively correlated with BMI (b = 0.58, p < 0.001), and negatively with estimated glomerular filtration rate (eGFR) (b = -0.30, p < 0.001).

Conclusion

The results of this study show the value of adipokines as indicators of metabolic disorders, rather than inflammatory markers in patients with chronic RA, treated with immunosuppressive or biological drugs. High leptin level may indicate poor prognostic factors, kidney and cardiovascular complications. Adiponectin seems to be protective against metabolic disorders in chronic RA.

Predictive model to identify multiple failure to biological therapy in patients with rheumatoid arthritis

Background:

Despite advances in the treatment of rheumatoid arthritis (RA) and the wide range of therapies available, there is a percentage of patients whose treatment presents a challenge for clinicians due to lack of response to multiple biologic and target-specific disease-modifying antirheumatic drugs (b/tsDMARDs).

Objective:

To develop and validate an algorithm to predict multiple failure to biological therapy in patients with RA.

Design:

Observational retrospective study involving subjects from a cohort of patients with RA receiving b/tsDMARDs.

Methods:

Based on the number of prior failures to b/tsDMARDs, patients were classified as either multi-refractory (MR) or non-refractory (NR). Patient characteristics were considered in the statistical analysis to design the predictive model, selecting those variables with a predictive capability. A decision algorithm known as ‘classification and regression tree’ (CART) was developed to create a prediction model of multi-drug resistance. Performance of the prediction algorithm was evaluated in an external independent cohort using area under the curve (AUC).

Results:

A total of 136 patients were included: 51 MR and 85 NR. The CART model was able to predict multiple failures to b/tsDMARDs using disease activity score-28 (DAS-28) values at 6 months after the start time of the initial b/tsDMARD, as well as DAS-28 improvement in the first 6 months and baseline DAS-28. The CART model showed a capability to correctly classify 94.1% NR and 87.5% MR patients with a sensitivity = 0.88, a specificity = 0.94, and an AUC = 0.89 (95% CI: 0.74–1.00). In the external validation cohort, 35 MR and 47 NR patients were included. The AUC value for the CART model in this cohort was 0.82 (95% CI: 0.73–0.9).

Conclusion:

Our model correctly classified NR and MR patients based on simple measurements available in routine clinical practice, which provides the possibility to characterize and individualize patient treatments during early stages.

Immature platelet fraction in rheumatoid arthritis with interstitial lung disease

BACKGROUND

Platelets have an effect on the hemostatic defense of the lung. Immature platelet fractions (iPF) reflects the number of young platelets containing ribonucleic acid in the circulation and real-time production. Information about their roles in rheumatic diseases is limited and there are no studies on iPF in RA with interstitial lung disease (ILD). Our aim is to investigate the association between the iPF level and occurrence of ILD in RA and the correlation of iPF with disease activity in general or only in RA with ILD.

METHODS

The study included 50 RA patients without ILD, 33 RA patients with ILD, and 30 healthy controls. Demographic data, Disease Activity Score 28 (DAS28), autoantibodies, and iPF were evaluated. ILD was diagnosed by using high-resolution computed tomography with clinical findings and chest X-ray. The samples were analyzed for complete blood count with platelet indices included, on Mindray BC-6800 hematology analyzer, Hamburg, Germany.

RESULTS

iPF levels were higher in RA patients with ILD compared to healthy controls and RA patients without ILD. A weakly positive correlation between DAS28 with iPF was found in all RA patients. iPF levels were found as 2.85 to detect ILD with 66.7% sensitivity and 65% specificity.

CONCLUSIONS

Our results showed that the iPF was detected higher in RA with ILD compared to RA without ILD. iPF, a routine cheap and easy test during hemogram, can provide important information in terms of disease activity and lung involvement in RA.

miR-10 and Its Negative Correlation with Serum IL-35 Concentration and Positive Correlation with STAT5a Expression in Patients with Rheumatoid Arthritis

Circulating free-cell miRNAs are increasingly important as potential non-invasive biomarkers due to the easy accessibility of clinical materials. Moreover, their epigenetic role may provide insight into the mechanisms of pathogenesis. Nevertheless, these aspects are mostly studied in the area of oncological diseases. Therefore, this research aimed to find the potential association of selected miRNAs in serum with the expression of Th17/Treg transcription factors and clinical features in RA patients. Accordingly, experiments was conducted on rheumatoid arthritis (RA), osteoarthritis (OA) and healthy subjects (HC). Analysis of miRNAs level in serum was performed using LNA miRNA PCR assays. mir-10 was detected only in RA patients. Furthermore, its expression was correlated with IL-35 serum concentration and the mRNA level of STAT5a in whole blood in RA. Additionally, a tendency of the raised level of miR-10 was noted in RA patients with high activity disease. miR-326 was significantly upregulated in RA patients with rheumatoid factor presence. In HC the correlation between miR-26 and IL-21 serum levels and expression of SMAD3 have been found. In OA patients, correlations between miR-126 and HIF1 expression and between miR-146 and RORc have been noted. The differential association of transcription factor expression with serum miRNA levels may be important in the diagnosis and progression of RA and OA.

Association of serum hepatoma-derived growth factor levels with disease activity in rheumatoid arthritis: A pilot study

Background

Hepatoma‐derived growth factor (HDGF) is reported to play an important role in tumorigenesis and cancer progression. However, growing evidence indicates its participation in immune system activation. This study analyzed the relationship among serum HDGF levels, disease activity, and laboratory markers in patients with rheumatoid arthritis (RA).

Methods

Blood samples from 165 patients with RA, 42 with osteoarthritis (OA), and 28 healthy controls, were used to evaluate the serum HDGF levels. Correlations of serum HDGF levels with age, 28‐joint count disease activity score (DAS28), and laboratory findings were assessed by Pearson correlation and receiver operator characteristic (ROC) curve analyses to obtain HDGF optimal cutoffs according to the disease status. Immunohistochemical staining was performed on the knee synovial tissue samples from patients with RA and OA (n = 10 each) to investigate HDGF joint expression.

Results

Serum HDGF levels were significantly correlated with DAS28 erythrocyte sedimentation rate (r = 0.412, p < 0.001) and C‐reactive protein values (r = 0.376, p < 0.001). The optimal cutoffs of serum HDGF levels from the ROC analysis were 5.79 and 5.14 for the differentiation of active/inactive disease and remission/non‐remission, respectively. The ideal cutoff of serum HDGF levels to differentiate RA and OA was determined as 5.47. Serial serum HDGF level analyses in 21 patients with RA revealed that serum HDGF levels significantly decreased after improvement in disease activity (p = 0.046). HDGF expression was not observed in the synovial tissues of the patients with RA and OA.

Conclusion

Serum HDGF level could be a potential laboratory biomarker for the severity of RA.

Identification of poor prognostic joint locations in an early rheumatoid arthritis cohort at risk of rapidly progressing disease: a post-hoc analysis of the Phase III AGREE study

Background

Rheumatoid arthritis (RA) is a heterogeneous disease with established poor prognostic factors such as seropositivity, joint damage, and high disease activity at an early, treatment-naïve stage of disease. However, few studies have examined if specific joint locations are correlated with these factors in such a population. This analysis explored the potential correlation of individual swollen and erosive joints with other disease characteristics at baseline and with remission rates in a post-hoc analysis of the Phase III randomized AGREE study.

Methods

Methotrexate (MTX)-naïve, erosive, RF- and/or ACPA-positive early RA patients (N = 509) were retrospectively evaluated. Baseline joint swelling was analyzed for large and small joints. Baseline erosions were analyzed for wrist, MCP1–5, IP1, PIP2–5 and MTP1–5. Remission rates were assessed after 6 months of treatment with abatacept (ABA) + MTX (N = 256) or MTX (N = 253). The following statistical tests were used: Chi-Square or Fisher’s exact test (categorical variables); Student’s t-test or Wilcoxon rank-sum test (continuous variables); continuity-corrected Chi-square test (efficacy remission endpoints).

Results

Baseline swelling was most frequent in wrist (91.9%) and MCP2 joint (89.1%), while baseline erosion was most frequent in MTP5 joint (43.5%). Swollen shoulder was significantly correlated (p < 0.0001) with swelling of almost all other large or medium joints. Baseline swelling in the knee, temporomandibular joint (TMJ), wrist and elbow was highly correlated (p < 0.001) with higher tender and swollen joint counts, higher DAS28(CRP) and higher SDAI and CDAI. Baseline swelling was not correlated with erosion per joint, except for MCP2. The largest difference in mean Boolean remission rates at 6 months was in patients with baseline swollen wrist favoring ABA + MTX (14.0% vs 4.4%; p < 0.001).

Conclusions

Swelling in the large and medium joints (knee, TMJ, elbow and wrist) was highly correlated with severe disease activity while MCP2 swelling seemed to be correlated with joint damage. The correlation of joint locations at an early, treatment-naïve stage with poor prognostic factors, higher disease activity and joint damage, could establish a rapidly progressing anatomical pattern in early RA.

Trial registration: ClinicalTrials.gov NCT00122382, registered July 2005.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41927-022-00252-4.

Autoimmune rheumatic diseases: One or many diseases?

Until the etiopathogenic factor(s) of autoimmune and autoinflammatory rheumatic disorders will be identified, their classification into entities will continue. However, their similar clinical manifestations, overlapping syndromes, evolution from one entity into another, as well as common autoantibody responses, suggest that autoimmune and autoinflammatory disorders may constitute distinct pathophysiologic processes on the basis of a different genetic background. Prognosis and effective therapeutic regimens are mostly based on the clinico-pathologic severity of the involved tissues or organs and not on the disease label.

•

Autoimmune rheumatic diseases (ARDs) can evolve from one into another disease.

•

Different ARDs can appear in the same individual.

•

Common humoral auto-reactivities appear in different ARDs.

•

Therapy is based on the severity of ARDs expression.

Addition of Fibroblast-Stromal Cell Markers to Immune Synovium Pathotypes Better Predicts Radiographic Progression at 1 Year in Active Rheumatoid Arthritis

Objectives

This study aims to investigate if addition of fibroblast-stromal cell markers to a classification of synovial pathotypes improves their predictive value on clinical outcomes in rheumatoid arthritis (RA).

Methods

Active RA patients with a knee needle synovial biopsy at baseline and finished 1-year follow-up were recruited from a real-world prospective cohort. Positive staining for CD20, CD38, CD3, CD68, CD31, and CD90 were scored semiquantitatively (0-4). The primary outcome was radiographic progression defined as a minimum increase of 0.5 units of the modified total Sharp score from baseline to 1 year.

Results

Among 150 recruited RA patients, 123 (82%) had qualified synovial tissue. Higher scores of CD20+ B cells, sublining CD68+ macrophages, CD31+ endothelial cells, and CD90+ fibroblasts were associated with less decrease in disease activity and greater increase in radiographic progression. A new fibroblast-based classification of synovial pathotypes giving more priority to myeloid and stromal cells classified samples as myeloid-stromal (57.7%, 71/123), lymphoid (31.7%, 39/123), and paucicellular pathotypes (10.6%, 13/123). RA patients with myeloid-stromal pathotype showed the highest rate of radiographic progression (43.7% vs. 23.1% vs. 7.7%, p = 0.011), together with the lowest rate of Boolean remission at 3, 6, and 12 months. Baseline synovial myeloid-stromal pathotype independently predicted radiographic progression at 1 year (adjusted OR: 3.199, 95% confidence interval (95% CI): 1.278, 8.010). Similar results were obtained in a subgroup analysis of treatment-naive RA.

Conclusions

This novel fibroblast-based myeloid-stromal pathotype could predict radiographic progression at 1 year in active RA patients which may contribute to the shift of therapeutic decision in RA.

Management of Rheumatoid Arthritis: An Overview

Rheumatoid arthritis (RA) is a multifactorial autoimmune disease of unknown etiology, primarily affecting the joints, then extra-articular manifestations can occur. Due to its complexity, which is based on an incompletely elucidated pathophysiological mechanism, good RA management requires a multidisciplinary approach. The clinical status of RA patients has improved in recent years due to medical advances in diagnosis and treatment, that have made it possible to reduce disease activity and prevent systemic complications. The most promising results were obtained by developing disease-modifying anti-rheumatic drugs (DMARDs), the class to which conventional synthetic, biologic, and targeted synthetic drugs belong. Furthermore, ongoing drug development has led to obtaining molecules with improved efficacy and safety profiles, but further research is needed until RA turns into a curable pathology. In the present work, we offer a comprehensive perspective on the management of RA, by centralizing the existing data provided by significant literature, emphasizing the importance of an early and accurate diagnosis associated with optimal personalized treatment in order to achieve better outcomes for RA patients. In addition, this study suggests future research perspectives in the treatment of RA that could lead to higher efficacy and safety profiles and lower financial costs.

Dysbiosis, gut-blood barrier rupture and autoimmune response in rheumatoid arthritis and schizophrenia

The primary cause of chronic autoimmune diseases is elusive both in somatic medicine and psychiatry. Examples of such conditions are rheumatoid arthritis and schizophrenic disorders. Immune disturbances occur in both diseases, but it is difficult to combine them into a meaningful pathogenetic model. The immunological hypothesis of schizophrenia is based on non-specific changes in the cytokine system and exponents of chronic inflammation in some patients. In rheumatoid arthritis the cytokine network is much better known than in schizophrenia, and interleukin-6, tumor necrosis factor or Janus kinases became a target of treatment. Microbiome dysbiosis and disturbances of the blood–gut barrier may be a new hypothesis of the pathogenesis of somatic and psychiatric diseases. The purpose of this narrative review was to show, using the example of two chronic diseases – rheumatoid arthritis and schizophrenic disorders – that disturbances in the blood barrier of the intestine can be a common mechanism of somatic and mental disorders.

The paper presents the current state of knowledge on the hypothetical relationship between microbiome dysbiosis and the pathogenesis of schizophrenia and rheumatoid arthritis. In conclusion, in the light of discoveries regarding the microbiome–gut–brain axis the immunological model of rheumatoid arthritis and schizophrenia formation may gain importance and contribute to the creation of new strategies for causal treatment of these still incurable diseases.

Effect of nurse-led care on outcomes in patients with ACPA/RF-positive rheumatoid arthritis with active disease undergoing treat-to-target: a multicentre randomised controlled trial

Objective

To determine the non-inferiority of nurse-led care (NLC) in patients with anticitrullinated protein antibody (ACPA)-positive and/or rheumatoid factor (RF)-positive rheumatoid arthritis (RA) with active disease who are starting disease-modifying antirheumatic drug therapy, following treat-to-target (T2T) recommendations.

Methods

A multicentre, pragmatic randomised controlled trial was conducted to assess clinical effectiveness, anxiety, depression and patient satisfaction following a non-inferiority design. The participants were 224 adults with ACPA/RF-positive RA who were randomly assigned to either NLC or rheumatologist-led care (RLC). The primary outcome was the Disease Activity Score in 28 Joints measured with C reactive protein (DAS28-CRP) assessed at baseline and after 3, 6, 9 and 12 months. A DAS28-CRP difference of 0.6 was set as the non-inferiority margin. Mean differences between the groups were assessed following per-protocol and intention-to-treat strategies.

Results

Demographic data and baseline characteristics of patients in the NLC group (n=111) were comparable to those of patients in the RLC group (n=113). The improvement in disease activity (change in DAS28-CRP, primary outcome) over the course of 12 months was significant in both groups (p<0.001). No significant differences were observed between the NLC and RLC groups (p=0.317). Non-inferiority of NLC was shown for the primary outcome and all secondary outcomes.

Conclusion

This study supported the non-inferiority of NLC in managing T2T and follow-up care of patients with RA with moderate to high disease activity and poor prognostic factors in addition to RLC.

Trial registration number

DRKS00013055.

2021 American College of Rheumatology Guideline for the Treatment of Rheumatoid Arthritis

OBJECTIVE

To develop updated guidelines for the pharmacologic management of rheumatoid arthritis.

METHODS

We developed clinically relevant population, intervention, comparator, and outcomes (PICO) questions. After conducting a systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to rate the certainty of evidence. A voting panel comprising clinicians and patients achieved consensus on the direction (for or against) and strength (strong or conditional) of recommendations.

RESULTS

The guideline addresses treatment with disease-modifying antirheumatic drugs (DMARDs), including conventional synthetic DMARDs, biologic DMARDs, and targeted synthetic DMARDs, use of glucocorticoids, and use of DMARDs in certain high-risk populations (i.e., those with liver disease, heart failure, lymphoproliferative disorders, previous serious infections, and nontuberculous mycobacterial lung disease). The guideline includes 44 recommendations (7 strong and 37 conditional).

CONCLUSION

This clinical practice guideline is intended to serve as a tool to support clinician and patient decision-making. Recommendations are not prescriptive, and individual treatment decisions should be made through a shared decision-making process based on patients' values, goals, preferences, and comorbidities.

2021 American College of Rheumatology Guideline for the Treatment of Rheumatoid Arthritis

OBJECTIVE

To develop updated guidelines for the pharmacologic management of rheumatoid arthritis.

METHODS

We developed clinically relevant population, intervention, comparator, and outcomes (PICO) questions. After conducting a systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to rate the certainty of evidence. A voting panel comprising clinicians and patients achieved consensus on the direction (for or against) and strength (strong or conditional) of recommendations.

RESULTS

The guideline addresses treatment with disease-modifying antirheumatic drugs (DMARDs), including conventional synthetic DMARDs, biologic DMARDs, and targeted synthetic DMARDs, use of glucocorticoids, and use of DMARDs in certain high-risk populations (i.e., those with liver disease, heart failure, lymphoproliferative disorders, previous serious infections, and nontuberculous mycobacterial lung disease). The guideline includes 44 recommendations (7 strong and 37 conditional).

CONCLUSION

This clinical practice guideline is intended to serve as a tool to support clinician and patient decision-making. Recommendations are not prescriptive, and individual treatment decisions should be made through a shared decision-making process based on patients' values, goals, preferences, and comorbidities.

Persistence with Early-Line Abatacept versus Tumor Necrosis Factor-Inhibitors for Rheumatoid Arthritis Complicated by Poor Prognostic Factors

Background: Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by joint swelling and destruction that leads to severe disability. There are no clear guidelines regarding the order of therapies. Gathering data on treatment patterns outside of a clinical trial setting can provide useful context for clinicians. Objectives: To assess real-world treatment persistence in early-line abatacept versus tumor necrosis factor-inhibitors (TNFi) treated patients with RA complicated by poor prognostic factors (including anti-cyclic citrullinated peptide antibodies [ACPA] and rheumatoid factor [RF] seropositivity). Methods: We performed a multi-center retrospective medical record review. Adult patients with RA complicated by poor prognostic factors were treated with either abatacept or TNFis as the first biologic treatment at the clinic. Poor prognostic factors included ACPA+, RF+, increased C-reactive protein levels, elevated erythrocyte sedimentation rate levels, or presence of joint erosions. We report 12-month treatment persistence, time to discontinuation, reasons for discontinuation, and risk of discontinuation between patients on abatacept versus TNFi. Select results among the subgroup of ACPA+ and/or RF+ patients are presented. Results: Data on 265 patients (100 abatacept, 165 TNFis) were collected. At 12 months, 83% of abatacept patients were persistent versus 66.1% of TNFi patients (P=0.003). Median time to discontinuation was 1423 days for abatacept versus 690 days for TNFis (P=0.014). In adjusted analyses, abatacept patients had a lower risk of discontinuing index treatment due to disease progression (0.3 [95% confidence interval (CI): 0.1-0.6], P=0.001). Among the subgroup of ACPA+ and/or RF+ patients (55 abatacept, 108 TNFis), unadjusted 12-month treatment persistence was greater (83.6% versus 64.8%, P=0.012) and median time to discontinuation was longer (961 days versus 581 days, P=0.048) in abatacept versus TNFi patients. Discussion: Patients with RA complicated by poor prognostic factors taking abatacept, including the subgroup of patients with ACPA and RF seropositivity, had statistically significantly higher 12-month treatment persistence and a longer time to discontinuation than patients on TNFis. Conclusions: In a real-world setting, RA patients treated with abatacept were more likely to stay on treatment longer and had a lower risk of discontinuation than patients treated with TNFis.

Immature Platelet Fraction in Rheumatoid Arthritis with Interstitial Lung Disease

BACKGROUND

Platelets have an effect on the hemostatic defense of the lung. Immature platelet fractions (iPF) reflects the number of young platelets containing ribonucleic acid in the circulation and real-time production. Information about their roles in rheumatic diseases is limited and there are no studies on iPF in RA with interstitial lung disease (ILD). Our aim is to investigate the association between the iPF level and occurrence of ILD in RA and the correlation of iPF with disease activity in general or only in RA with ILD.

METHODS

The study included 50 RA patients without ILD, 33 RA patients with ILD, and 30 healthy controls. Demographic data, Disease Activity Score 28 (DAS28), autoantibodies, and iPF were evaluated. ILD was diagnosed by using high-resolution computed tomography with clinical findings and chest X-ray. The samples were analyzed for complete blood count with platelet indices included, on Mindray BC-6800 hematology analyzer, Hamburg, Germany.

RESULTS

iPF levels were higher in RA patients with ILD compared to healthy controls and RA patients without ILD. A weakly positive correlation between DAS28 with iPF was found in all RA patients. iPF levels were found as 2.85 to detect ILD with 66.7% sensitivity and 65% specificity.

CONCLUSIONS

Our results showed that the iPF was detected higher in RA with ILD compared to RA without ILD. iPF, a routine cheap and easy test during hemogram, can provide important information in terms of disease activity and lung involvement in RA.

Elicitation of Rheumatologist Preferences for the Treatment of Patients with Rheumatoid Arthritis After the Failure of a First Conventional Synthetic Disease-Modifying Anti-Rheumatic Agent

Introduction

Rheumatoid arthritis (RA) clinical guidelines do not provide strong recommendations for the choice of disease-modifying anti-rheumatic drugs (DMARD) in patients with an inadequate response to methotrexate (MTX), and only limited evidence is available on factors influencing rheumatologist treatment decisions. We aimed to describe therapeutic preferences after the failure of a first-line strategy of MTX in simulated cases of patients with RA.

Methods

Fictional but realistic case-vignettes (n = 64) of patients with RA and an inadequate response to MTX were developed with a combination of RA-poor prognostic factors and comorbidities. Physicians were presented with eight vignettes and chose the most and least appropriate therapeutic option from the following six options randomly proposed 3 by 3: (1) replacing MTX with another csDMARD; (2) combining MTX with one or more csDMARDs; (3) adding a bDMARD of either TNF inhibitors (TNFi), tocilizumab (TCZ), abatacept (ABA), or rituximab (RTZ). A total of 1605 complete case vignettes were produced and randomly assigned to a representative sample of French rheumatologists. For each vignette, whenever a treatment was preferred, one point was incremented for this treatment; if this treatment was the least desired, one point was removed. Preferences were elicited using a normalized best–worst score.

Results

Two hundred and four French rheumatologists participated in the study with each vignette being assessed 20–28 times for a completion rate of 94%. TNFi was the first-choice strategy (80% of vignettes), except in cases with a history of infection and pulmonary comorbidity, where ABA was the first preference (85%). TCZ came third in 83% of the cases. Other options were never preferred and repeatedly yielded negative scores.

Conclusions

We observed a conservative trend with TNFi as the main therapeutic choice for patients with RA and inadequate response to MTX. Preference for bDMARD-based strategies increased with the number of RA-poor prognosis factors, whereas an increase in the number of comorbidities resulted in an increased preference for ABA. Understanding clinical decision-making will be particularly important as the therapeutic landscape for RA continues to evolve.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40744-021-00311-1.

Urinary sodium-to-potassium ratio associates with hypertension and current disease activity in patients with rheumatoid arthritis: a cross-sectional study

Background

Excessive salt intake is thought to exacerbate both development of hypertension and autoimmune diseases in animal models, but the clinical impact of excessive salt in rheumatoid arthritis (RA) patients is still unknown. We performed a cross-sectional study to clarify the associations between salt load index (urinary sodium-to-potassium ratio (Na/K ratio)), current disease activity, and hypertension in an RA population.

Methods

Three hundred thirty-six participants from our cohort database (KURAMA) were enrolled. We used the spot urine Na/K ratio as a simplified index of salt loading and used the 28-Joint RA Disease Activity Score (DAS28-ESR) as an indicator of current RA disease activity. Using these indicators, we evaluated statistical associations between urinary Na/K ratio, DAS28-ESR, and prevalence of hypertension.

Results

Urinary Na/K ratio was positively associated with measured systolic and diastolic blood pressure and also with prevalence of hypertension even after covariate adjustment (OR 1.34, p <  0.001). In addition, increased urinary Na/K ratio was significantly and positively correlated with DAS28-ESR in multiple regression analysis (estimate 0.12, p <  0.001), as was also the case in gender-separated and prednisolone-separated sub-analyses.

Conclusion

Urinary Na/K ratio was independently associated with current disease activity as well as with prevalence of hypertension in RA patients. Thus, dietary modifications such as salt restriction and potassium supplementation should be investigated as a potential candidate for attenuating both disease activity and hypertension in RA patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13075-021-02479-x.

Risikostratifizierung für Therapieentscheidungen bei Rheumatoider Arthritis

Um für die Behandlung der rheumatoiden Arthritis unter der Vielzahl an zugelassenen krankheitsmodifizierenden Antirheumatika die geeignete Therapie auszuwählen, werden Patienten anhand ihres Risikos für einen ungünstigen Krankheitsverlauf stratifiziert. Die Auswahl geeigneter Parameter zur Risikostratifizierung werden in dieser Übersichtsarbeit dargestellt. Beim heutigen Therapieziel einer Remission sind hohe Krankheitsaktivität, Funktionseinschränkungen, Begleiterkrankungen und Übergewicht relevante Faktoren für einen ungünstigen Verlauf. Weitere Einflussfaktoren auf die Therapieentscheidung wie Begleiterkrankungen, Infektionsrisiko und spezielle Risikokonstellationen wie vorausgegangene schwerwiegende Infektionen oder Malignome werden in diesem Artikel diskutiert.

Long-term methotrexate use in rheumatoid arthritis patients: real-world data from the MARTE study

BACKGROUND

The MARTE study investigated the demographic, clinical, and therapeutic characteristics of rheumatoid arthritis (RA) patients ongoing methotrexate (MTX) treatment for longer than 8 years.

METHODS

This cross-sectional, observational study considered 587 RA patients from 67 Rheumatology Units across Italy. Data collected included demographic, clinical, and therapeutic characteristics, focusing on MTX prescription patterns (route of administration, dosing regimens, treatment duration, and discontinuation).

RESULTS

As initial therapy, 90.6% of patients received one conventional synthetic Disease Modifying Anti Rheumatic Drug (csDMARD), with treatment started within the first 3 months from diagnosis in half of the patients. MTX was the first csDMARD in 46.2% of patients. The prevalent route of administration at diagnosis was the intramuscular (60.5%), while at study entry (baseline) 57.6% were receiving subcutaneous MTX. Patients who required a higher MTX dose at study entry were those who received a significantly lower starting MTX dose (P<0.001). Significantly higher MTX doses were currently required in men (P<0.001), current smokers (P=0.013), and overweight patients (P=0.028), whereas patients on oral therapy received significantly lower doses of MTX (P<0.001).

CONCLUSIONS

The MARTE study confirms once again the potential of the proper use of MTX in the treatment of RA. Data from our study suggest that a higher dose of MTX should be used since the first stages in overweight patients, men, and smokers.

Increased Extracellular ATP in Plasma of Rheumatoid Arthritis Patients Activates CD8+T Cells

BACKGROUND

Rheumatoid arthritis (RA) is an autoimmune disorder with genetic and environmental causes often linked with the disease etiology. A disrupted metabolism has often been a characteristic of RA and an altered metabolic state of immune cells has been associated with their phenotypic and functional changes. The energy in the form of ATP produced by the metabolically active cells may thus initiate a cascade of immune responses there by influencing the disease pathogenesis or progression.

AIM OF THE STUDY

Through this study we have focused on determining the role of ATP in etiology of RA and aberrant cellular functions.

METHODS

Blood samples of 80 healthy controls (HC) and 95 RA patients were screened for extracellular ATP concentration, transcriptome analyses, an inflammatory mediator and the results were statistically analysed.

RESULTS

In this study, ATP is shown to be excessive in the plasma of RA patients (453.5 ± 16.09% in RA vs. 233.9 ± 10.07% in HC, p <0.0001) and significantly increases with the disease severity. The abundant extracellular ATP could activate circulating cytotoxic CD8⁺T cells in RA patients to produce Granzyme B.

CONCLUSION

Plasma ATP is thus identified to have a significant potential in progression and prognosis of RA and may thus be studied further to design better therapeutic approaches for the disease.

Persistent inflammatory and non-inflammatory mechanisms in refractory rheumatoid arthritis

Despite nearly three decades of advances in the management of rheumatoid arthritis (RA), a substantial minority of patients are exposed to multiple DMARDs without necessarily benefitting from them; a group of patients variously designated as having 'difficult to treat', 'treatment-resistant' or 'refractory' RA. This Review of refractory RA focuses on two types of patients: those for whom multiple targeted therapies lack efficacy and who have persistent inflammatory pathology, which we designate as persistent inflammatory refractory RA (PIRRA); and those with supposed refractory RA who have continued disease activity that is predominantly independent of objective evidence of inflammation, which we designate as non-inflammatory refractory RA (NIRRA). These two types of disease are not mutually exclusive, but identifying those individuals with predominant PIRRA or NIRRA is important, as it informs distinct treatment and management approaches. This Review outlines the clinical differences between PIRRA and NIRRA, the genetic and epigenetic mechanisms and immune pathways that might contribute to the immunopathogenesis of recalcitrant synovitis in PIRRA, and a possible basis for non-inflammatory symptomatology in NIRRA. Future approaches towards the definition of refractory RA and the application of single-cell and integrated omics technologies to the identification of refractory RA endotypes are also discussed.

Prognostic factors for the short-term mortality of patients with rheumatoid arthritis admitted to intensive care units

Background

Patients with rheumatoid arthritis (RA) have high mortality risk and are frequently treated in intensive care units (ICUs).

Methods

This was a retrospective observational study. This study included 67 patients (20 males, 47 females) with RA who were admitted at the ICU of our institution for ≥48 h between January 2008 and December 2017. We analyzed the 30-day mortality of these patients and the investigated prognostic factors in RA patients admitted to our ICU.

Results

Upon admission, the median age was 70 (range, 33–96) years, and RA duration was 10 (range, 0–61) years. The 5-year survival after ICU admission was 47%, and 30-day, 90-day, and 1-year mortality rates were 22, 27, and 37%, respectively. The major reasons for ICU admission were cardiovascular complications (24%) and infection (40%) and the most common ICU treatments were mechanical ventilation (69%), renal replacement (25%), and vasopressor (78%). In the 30-day mortality group, infection led to a fatal outcome in most cases (67%), and nonsurvival was associated with a significantly higher glucocorticoid dose, updated Charlson’s comorbidity index (CCI), and acute physiology and chronic health evaluation (APACHE) II score. Laboratory data obtained at ICU admission showed that lower platelet number and total protein and higher creatinine and prothrombin time international normalized ratio (PT-INR) indicated significantly poorer prognosis. The multivariate Cox proportional hazard model revealed that nonuse of csDMARDs, high updated CCI, increased APACHE II score, and prolonged PT-INR were associated with a higher risk of mortality after ICU admission.

Conclusion

Our study demonstrated that the nonuse of csDMARDs, high updated CCI, elevated APACHE II score, and coagulation abnormalities predicted poorer prognosis in RA patients admitted to the ICU.

Obesity reduces the real-world effectiveness of cytokine-targeted but not cell-targeted disease-modifying agents in rheumatoid arthritis

OBJECTIVES

The effectiveness of TNF inhibitors in RA has been shown to be affected by obesity. No such effect has been found for abatacept and rituximab, while for tocilizumab results are ambiguous. Additionally, it remains unresolved whether sex is an effect modifier for obesity. We investigated the impact of obesity on the drug effectiveness of conventional synthetic or biologic DMARDs, taking into account potential sex-specific differences.

METHODS

Data from 10 593 RA patients included in the German observational cohort study Rheumatoid Arthritis: oBservation of BIologic Therapy (RABBIT) since 2009 were analysed. Patients had to have a BMI ≥18.5 kg/m2, at least one follow-up and 6 months of observation time. The influence of obesity on drug effectiveness was investigated by regression analysis, adjusting for potential confounders.

RESULTS

Obesity had a negative impact on improvement in the DAS with 28 joints using ESR as an inflammation marker of -0.15 (95% CI: -0.26; -0.04) units for women receiving conventional synthetic DMARDs, -0.22 (95% CI: -0.31; -0.12) units for women receiving TNF inhibitors, -0.22 (95% CI: -0.42; -0.03) units for women receiving tocilizumab and -0.41 (95% CI: -0.74; -0.07) units for men receiving tocilizumab. Overall, no negative obesity effects on the effectiveness of rituximab and abatacept were found.

CONCLUSION

Obesity has a negative impact on the effectiveness of cytokine-targeted but not cell-targeted therapies in daily practice, affecting more outcomes and therapies in women than in men. Overall, no effects of obesity on treatment effectiveness were found for rituximab and abatacept.

Disease activity measures at baseline predict structural damage progression: data from the randomized, controlled AMPLE and AVERT trials

Objective

Data from two double-blind, randomized, Phase III studies were analysed to investigate the ability of Routine Assessment of Patient Index Data 3, DAS28 (CRP), modified (M)-DAS28 (CRP) and Simplified or Clinical Disease Activity Indices to predict structural damage progression in RA.

Methods

This post hoc analysis included data from the 2-year Abatacept vs adaliMumab comParison in bioLogic-naïvE RA subjects with background MTX (AMPLE) trial in biologic-naïve patients with active RA (<5 years) and an inadequate response to MTX, and the 12-month treatment period of the Assessing Very Early Rheumatoid arthritis Treatment (AVERT) trial in MTX-naïve patients with early RA (⩽2 years) and poor prognostic indicators. Adjusted logistic regression analysis assessed the relationship between baseline disease activity and structural damage progression (defined as change from baseline greater than the smallest detectable change) at 12 and 24 months in AMPLE and 6 and 12 months in AVERT. Areas under the receiver operating characteristic curves for the impact of baseline disease activity on structural damage progression were calculated.

Results

Adjusted logistic regression analyses included all randomized and treated patients in AMPLE (N = 646) and those who received abatacept plus MTX or MTX monotherapy in AVERT (N = 235). Baseline Routine Assessment of Patient Index Data 3, DAS28 (CRP) and M-DAS28 (CRP) scores significantly predicted structural progression at months 12 and 24 in AMPLE (P < 0.05) and months 6 and 12 in AVERT (P < 0.01), and were stronger predictors than Simplified or Clinical Disease Activity Indices.

Conclusion

In this post hoc analysis of two patient populations with RA, Routine Assessment of Patient Index Data 3, DAS28 (CRP) and M-DAS28 (CRP) were good at predicting structural damage.

Trial registration

ClinicalTrials.gov, http://clinicaltrials.gov: NCT00929864 (AMPLE); NCT01142726 (AVERT).

Predicting the treatment response of certolizumab for individual adult patients with rheumatoid arthritis: protocol for an individual participant data meta-analysis

BACKGROUND

A model that can predict treatment response for a patient with specific baseline characteristics would help decision-making in personalized medicine. The aim of the study is to develop such a model in the treatment of rheumatoid arthritis (RA) patients who receive certolizumab (CTZ) plus methotrexate (MTX) therapy, using individual participant data meta-analysis (IPD-MA).

METHODS

We will search Cochrane CENTRAL, PubMed, and Scopus as well as clinical trial registries, drug regulatory agency reports, and the pharmaceutical company websites from their inception onwards to obtain randomized controlled trials (RCTs) investigating CTZ plus MTX compared with MTX alone in treating RA. We will request the individual-level data of these trials from an independent platform (http://vivli.org). The primary outcome is efficacy defined as achieving either remission (based on ACR-EULAR Boolean or index-based remission definition) or low disease activity (based on either of the validated composite disease activity measures). The secondary outcomes include ACR50 (50% improvement based on ACR core set variables) and adverse events. We will use a two-stage approach to develop the prediction model. First, we will construct a risk model for the outcomes via logistic regression to estimate the baseline risk scores. We will include baseline demographic, clinical, and biochemical features as covariates for this model. Next, we will develop a meta-regression model for treatment effects, in which the stage 1 risk score will be used both as a prognostic factor and as an effect modifier. We will calculate the probability of having the outcome for a new patient based on the model, which will allow estimation of the absolute and relative treatment effect. We will use R for our analyses, except for the second stage which will be performed in a Bayesian setting using R2Jags.

DISCUSSION

This is a study protocol for developing a model to predict treatment response for RA patients receiving CTZ plus MTX in comparison with MTX alone, using a two-stage approach based on IPD-MA. The study will use a new modeling approach, which aims at retaining the statistical power. The model may help clinicians individualize treatment for particular patients.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number pending (ID#157595).

A CD40L-targeting protein reduces autoantibodies and improves disease activity in patients with autoimmunity

The CD40/CD40L axis plays a central role in the generation of humoral immune responses and is an attractive target for treating autoimmune diseases in the clinic. Here, we report the generation and clinical results of a CD40L binding protein, VIB4920, which lacks an Fc domain, therefore avoiding platelet-related safety issues observed with earlier monoclonal antibody therapeutics that targeted CD40L. VIB4920 blocked downstream CD40 signaling events, resulting in inhibition of human B cell activation and plasma cell differentiation, and did not induce platelet aggregation in preclinical studies. In a phase 1 study in healthy volunteers, VIB4920 suppressed antigen-specific IgG in a dose-dependent fashion after priming and boosting with the T-dependent antigen, KLH. Furthermore, VIB4920 significantly reduced circulating Ki67⁺ dividing B cells, class-switched memory B cells, and a plasma cell gene signature after immunization. In a phase 1b proof-of-concept study in patients with rheumatoid arthritis, VIB4920 significantly decreased disease activity, achieving low disease activity or clinical remission in more than 50% of patients in the two higher-dose groups. Dose-dependent decreases in rheumatoid factor autoantibodies and Vectra DA biomarker score provide additional evidence that VIB4920 effectively blocked the CD40/CD40L pathway. VIB4920 demonstrated a good overall safety profile in both clinical studies. Together, these data demonstrate the potential of VIB4920 to significantly affect autoimmune disease and humoral immune activation and to support further evaluation of this molecule in inflammatory conditions.

Association of cytokine patterns and clinical/laboratory parameters, medication and periodontal burden in patients with rheumatoid arthritis (RA)

To evaluate serum levels of the following cytokines in rheumatoid arthritis subjects with periodontal disease: Interleukin-6, -10, -17, and -23. Patients with rheumatoid arthritis frequently suffer from periodontal disease. Both diseases partly result from a dysregulated immune response. The current study aimed to quantify Interleukin-6, -10, -17, and -23 levels in rheumatoid arthritis. It should be investigated if the periodontal disease would have additional modifying effects. A total of 157 patients were included. Serum levels of IL-6, -10, -17, and -23 were measured by ELISA. Serum IL-10 increased with longer duration of morning stiffness and with higher rheumatoid factor and anti-cyclic citrullinated peptide titres. IL-10 was also elevated with longer duration of prednisolone (< 5 mg daily) and leflunomide therapy. Subjects with lower erythrocyte sedimentation rate/longer leflunomide therapy displayed more missing teeth/more clinical attachment loss. IL-17 was higher in subjects with fewer missing teeth if the following criteria were fulfilled: shorter prednisolone (< 5 mg) and methotrexate therapy, more swollen joints, longer morning stiffness. IL-23 finally was increased in subjects with higher rheumatoid factor and in those with higher periodontal probing depth/clinical attachment loss in the following situations: lower rheumatoid factor and shorter leflunomide therapy. Subjects suffering from dental/periodontal burden show an aberrant systemic cytokine availability of serum IL-6, IL-10, IL-17 and IL-23 related to disease activity and medication. This examination underlines the complexity of potential interactions between disease activity and medication related to periodontal burden.

Adjunctive Chinese Herbal Products Therapy Reduces the Risk of Ischemic Stroke Among Patients With Rheumatoid Arthritis

We performed a retrospective cohort study to investigate the association between the risk of ischemic stroke (IS) and the use of Chinese herbal products (CHP) in combination with western medicine (WM) among patients with rheumatoid arthritis (RA). The data were sourced from the registry for beneficiaries, inpatient and ambulatory care claims, and Registry for Catastrophic Illness from the National Health Insurance Research Database (NHIRD) in Taiwan between 1997 and 2011. Patients, who were newly diagnosed with RA between 1997 and 2010, were classified as the CHP group or non-CHP group depending on the presence of absence the adjunctive use of CHP following a diagnosis of RA. A total of 4,148 RA patients were in both the CHP and non-CHP groups after 1:1 matching. Patients in the CHP group had a significantly lower risk of IS compared to patients in the non-CHP group (adjusted hazard ratio [aHR], 0.67; 95% confidence interval [CI], 0.52-0.86). In the CHP group, patients who used CHP for more than 30 days had a lower risk of IS than their counterparts (aHR: 0.61, 95% CI: 0.40-0.91). Gui-Zhi-Shao-Yao-Zhi-Mu-Tang, Shu-Jin-Huo-Xie-Tang, and Du-Huo-Ji-Sheng-Tang might be associated with a lower risk of IS. Finally, the use of CHP in combination with WM was associated with a decreased risk of IS in patients with RA, especially among those who had used CHP for more than 30 days. A further randomized control trial is required to clarify the casual relationship between these results.

Increased circulating adiponectin is an independent disease activity marker in patients with rheumatoid arthritis: A cross-sectional study using the KURAMA database

Objective

To clarify the relationship among serum adiponectin, body composition, current disease activity and therapeutics of rheumatoid arthritis (RA).

Methods

We conducted a cross-sectional study in RA patients under treatment with agents including biological disease-modifying antirheumatic drugs (bDMARDs) and Janus kinase (JAK) inhibitors. A total of 351 subjects from the Kyoto University RA Management Alliance cohort (KURAMA) were enrolled in the analysis. We classified the participants into five body composition groups according to the cut-off points for obesity and visceral fat used in Japan: body mass index (BMI), 18.5 kg/m² for underweight and 25.0 kg/m² for obesity, and visceral fat area (VFA), 100 cm² for visceral adiposity.

Results

Classification of body composition revealed that serum adiponectin levels and disease activity score (DAS28-ESR) in the low BMI group were significantly higher than those in the normal and overweight groups. Because both increased serum adiponectin and low BMI were previously reported as poor prognostic factors of RA, we performed multiple regression analysis to determine which factor was correlated with RA disease activity. Serum adiponectin level, but not BMI, was positively associated with DAS28-ESR (estimate = 0.0127, p = 0.0258). Subanalysis also showed that the use of bDMARD or JAK inhibitor did not have an obvious influence on circulating adiponectin.

Conclusions

Classification of body composition and multiple regression analysis revealed a positive and independent correlation between serum adiponectin and DAS28-ESR in Japanese RA patients. Thus, serum adiponectin may be an important marker reflecting high disease activity of RA regardless of current medications.

Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases

Background

Confounding by disease severity is an issue in pharmacoepidemiology studies of rheumatoid arthritis (RA), due to channeling of sicker patients to certain therapies. To address the issue of limited clinical data for confounder adjustment, a patient-level prediction model to differentiate between patients prescribed and not prescribed advanced therapies was developed as a surrogate for disease severity, using all available data from a US claims database.

Methods

Data from adult RA patients were used to build regularized logistic regression models to predict current and future disease severity using a biologic or tofacitinib prescription claim as a surrogate for moderate-to-severe disease. Model discrimination was assessed using the area under the receiver (AUC) operating characteristic curve, tested and trained in Optum Clinformatics^® Extended DataMart (Optum) and additionally validated in three external IBM MarketScan^® databases. The model was further validated in the Optum database across a range of patient cohorts.

Results

In the Optum database (n = 68,608), the AUC for discriminating RA patients with a prescription claim for a biologic or tofacitinib versus those without in the 90 days following index diagnosis was 0.80. Model AUCs were 0.77 in IBM CCAE (n = 75,579) and IBM MDCD (n = 7,537) and 0.75 in IBM MDCR (n = 36,090). There was little change in the prediction model assessing discrimination 730 days following index diagnosis (prediction model AUC in Optum was 0.79).

Conclusions

A prediction model demonstrated good discrimination across multiple claims databases to identify RA patients with a prescription claim for advanced therapies during different time-at-risk periods as proxy for current and future moderate-to-severe disease. This work provides a robust model-derived risk score that can be used as a potential covariate and proxy measure to adjust for confounding by severity in multivariable models in the RA population. An R package to develop the prediction model and risk score are available in an open source platform for researchers.

Use of a "critical difference" statistical criterion improves the predictive utility of the Health Assessment Questionnaire-Disability Index score in patients with rheumatoid arthritis

Background

The Health Assessment Questionnaire-Disability Index (HAQ-DI) is used to assess functional status in rheumatoid arthritis (RA), but the change required for meaningful improvements remains unclear. A minimum clinically important difference (MCID) of 0.22 is frequently used in RA trials. The aim of this study was to determine a statistically defined critical difference for HAQ-DI (HAQ-DI-d_crit) and evaluate its association with therapeutic outcomes.

Methods

We retrospectively analyzed data from adult German patients with RA enrolled in a multicenter observational trial in which they received adalimumab therapy at the decision of the treating clinician during routine clinical care. The HAQ-DI-d_crit, defined as the minimum change that can be reliably discriminated from random long-term variations in patients on stable therapy, was determined by evaluating intra-individual variation in patient scores. Other outcomes of interest included Disease Activity Score-28 joints and patient-reported pain and fatigue.

Results

The HAQ-DI-d_crit was calculated as an improvement (decrease) from baseline of 0.68 in a discovery cohort (N = 1645) of RA patients on stable therapy and with moderate disease activity (mean DAS28 [standard deviation] of 4.4 [1.6]). In the full patient cohort (N = 2740), 22.1% of patients achieved a HAQ-DI-d_crit improvement at month 6. Compared with patients with a small improvement in HAQ-DI (decrease of ≥0.22 to < 0.68) or no improvement (< 0.22), patients achieving a HAQ-DI-d_crit at month 6 had better therapeutic outcomes at months 12 and 24, including stable functional improvements. Change in pain was the most important predictor of HAQ-DI improvement during the first 6 months of therapy.

Conclusions

A HAQ-DI-d_crit of 0.68 is a reliable measure of functional improvement. This measure may be useful in routine clinical care and clinical trials.

Trial registration

ClinicalTrials.gov NCT01076205. Registered on February 26, 2010 (retrospectively registered).