Understanding Differences in Patient Descriptions of Rheumatoid Arthritis Flares Using OMERACT Core Domains.

OBJECTIVE: Recently, there has been consensus on domains that constitute flares in rheumatoid arthritis (RA); however, variations in patients' flare descriptions continue to be observed. This study evaluates how demographic and clinical characteristics influence these differences. METHODS: Participants enrolled in a prospective RA registry completed a qualitative survey that included the open-ended question "What does a flare mean to you?" Responses were categorized into Outcome Measures in Rheumatology (OMERACT) core and research domains. Univariate analyses evaluated demographic and clinical characteristics. Regression analyses determined independent variables associated with flare description variations. RESULTS: Among 645 participants, the median Disease Activity Score in 28 joints (DAS28) with C-reactive protein was 2.1 (IQR 1.6-2.9); 58% of the participants reported at least 1 flare in the past 6 months. Participants reported a median of 3 (IQR 2-5) OMERACT domains when describing flares. Fatigue was more commonly noted among females (odds ratio [OR] 6.12; P < 0.001). Older participants were less likely to report emotional distress (OR 0.97; P = 0.03), swollen joints (OR 0.99; P = 0.04), physical function decrease (OR 0.98; P = 0.02), and a general increase in RA symptoms (OR 0.98; P = 0.005). Participants with a higher DAS28 score were less likely to report symptoms of stiffness (OR 0.70; P = 0.009), and those who experienced a flare within the last 6 months were more likely to describe flares as pain (OR 2.53; P < 0.001) and fatigue (OR 2.00; P = 0.007). CONCLUSION: Variations in patients' flare descriptions can be driven by a patient's disease activity, the experience of a recent flare, as well as different demographic characteristics, such as age and gender. Understanding the interplay of these characteristics can guide a physician's approach to the management of patients' RA flares.

Utilizing biologic disease-modifying anti-rheumatic treatment sequences to subphenotype rheumatoid arthritis.

BACKGROUND: Many patients with rheumatoid arthritis (RA) require a trial of multiple biologic disease-modifying anti-rheumatic drugs (bDMARDs) to control their disease. With the availability of several bDMARD options, the history of bDMARDs may provide an alternative approach to understanding subphenotypes of RA. The objective of this study was to determine whether there exist distinct clusters of RA patients based on bDMARD prescription history to subphenotype RA. METHODS: We studied patients from a validated electronic health record-based RA cohort with data from January 1, 2008, through July 31, 2019; all subjects prescribed ≥ 1 bDMARD or targeted synthetic (ts) DMARD were included. To determine whether subjects had similar b/tsDMARD sequences, the sequences were considered as a Markov chain over the state-space of 5 classes of b/tsDMARDs. The maximum likelihood estimator (MLE)-based approach was used to estimate the Markov chain parameters to determine the clusters. The EHR data of study subjects were further linked with a registry containing prospectively collected data for RA disease activity, i.e., clinical disease activity index (CDAI). As a proof of concept, we tested whether the clusters derived from b/tsDMARD sequences correlated with clinical measures, specifically differing trajectories of CDAI. RESULTS: We studied 2172 RA subjects, mean age 52 years, RA duration 3.4 years, and 62% seropositive. We observed 550 unique b/tsDMARD sequences and identified 4 main clusters: (1) TNFi persisters (65.7%), (2) TNFi and abatacept therapy (8.0%), (3) on rituximab or multiple b/tsDMARDs (12.7%), (4) prescribed multiple therapies with tocilizumab predominant (13.6%). Compared to the other groups, TNFi persisters had the most favorable trajectory of CDAI over time. CONCLUSION: We observed that RA subjects can be clustered based on the sequence of b/tsDMARD prescriptions over time and that the clusters were correlated with differing trajectories of disease activity over time. This study highlights an alternative approach to consider subphenotyping of patients with RA for studies aimed at understanding treatment response.

Autoantibodies against citrullinated and native proteins and prediction of rheumatoid arthritis-associated interstitial lung disease: A nested case-control study.

Background: To identify fine specificity anti-citrullinated protein antibodies (ACPA) associated with incident rheumatoid arthritis-associated interstitial lung disease (RA-ILD). Methods: This nested case-control study within the Brigham RA Sequential Study matched incident RA-ILD cases to RA-noILD controls on time of blood collection, age, sex, RA duration, and rheumatoid factor status. A multiplex assay measured ACPA and anti-native protein antibodies from stored serum prior to RA-ILD onset. Logistic regression models calculated odds ratios (OR) with 95% confidence intervals (CI) for RA-ILD, adjusting for prospectively-collected covariates. We estimated optimism-corrected area under the curves (AUC) using internal validation. Model coefficients generated a risk score for RA-ILD. Findings: We analyzed 84 incident RA-ILD cases (mean age 67 years, 77% female, 90% White) and 233 RA-noILD controls (mean age 66 years, 80% female, 94% White). We identified six fine specificity antibodies that were associated with RA-ILD. The antibody isotypes and targeted proteins were: IgA2 to citrullinated histone 4 (OR 0.08 per log-transformed unit, 95% CI 0.03-0.22), IgA2 to citrullinated histone 2A (OR 4.03, 95% CI 2.03-8.00), IgG to cyclic citrullinated filaggrin (OR 3.47, 95% CI 1.71-7.01), IgA2 to native cyclic histone 2A (OR 5.52, 95% CI 2.38-12.78), IgA2 to native histone 2A (OR 4.60, 95% CI 2.18-9.74), and IgG to native cyclic filaggrin (OR 2.53, 95% CI 1.47-4.34). These six antibodies predicted RA-ILD risk better than all clinical factors combined (optimism-corrected AUC=0·84 versus 0·73). We developed a risk score for RA-ILD combining these antibodies with the clinical factors (smoking, disease activity, glucocorticoid use, obesity). At 50% predicted RA-ILD probability, the risk scores both without (score=2·6) and with (score=5·9) biomarkers achieved specificity ≥93% for RA-ILD. Interpretation: Specific ACPA and anti-native protein antibodies improve RA-ILD prediction. These findings implicate synovial protein antibodies in the pathogenesis of RA-ILD and suggest clinical utility in predicting RA-ILD once validated in external studies. Funding: National Institutes of Health.

Meaning of patient global assessment when joint counts are low in rheumatoid arthritis.

OBJECTIVE: In patients with rheumatoid arthritis (RA) with low 28-joint tender and swollen joint counts but who assessed their disease as active, to evaluate whether activity reflected RA symptoms. METHODS: We carried out a cross-sectional study of patients in BRASS, a cohort of patients with established RA who had 28-joint counts assessed, scored their disease activity, identified their painful joints, and answered questions about other sites of pain and fatigue. Patients and their rheumatologists were asked about the presence of fibromyalgia. We examined whether patients reported pain in joints excluded from the 28-joint joint count (feet, ankles, hips, neck) and pain or symptoms probably unrelated to RA including low back pain, headache and fibromyalgia. Fatigue was not classified. Analyses were descriptive. RESULTS: Of 272 patients, 49 had tender and swollen joint counts <1 and a patient global assessment score of ≥3/10. 48/49 (95%) reported pain in joints excluded from the 28-joint count. Of these 49, 24 (45%) also had other symptoms especially low back pain. Fatigue was present in all patients. No patient had fibromyalgia. CONCLUSION: If joint counts <=1 are scored in 28 joints, patient global assessments of ≥3/10 often occur when there is pain in uncounted joints, joints that may respond to RA treatment.

The Role of Shared Epitope in Rheumatoid Arthritis Prognosis in Relation to Anti-Citrullinated Protein Antibody Positivity.

INTRODUCTION: Shared epitope (SE) is present in high proportions of anti-citrullinated protein antibody (ACPA) + patients with rheumatoid arthritis (RA) and is associated with poor prognosis. We assessed the role of SE in RA prognosis, in relation to ACPA positivity. METHODS: Patients enrolled in the Brigham and Women's RA Sequential Study were included. Changes from baseline in disease activity (Disease Activity Score in 28 joints using C-reactive protein [DAS28 (CRP)], Clinical Disease Activity Index [CDAI], Simplified Disease Activity Index [SDAI]) to 1 year were assessed. Baseline characteristics were compared by SE and ACPA status (±; chi-squared, Kruskal-Wallis). Association between number of SE alleles and ACPA status (logistic regression models), relationships between baseline characteristics and changes in disease activity (adjusted linear regression model), and effect of ACPA on the association between SE and changes in disease activity (mediation analysis) were studied. RESULTS: Nine hundred twenty-six patients were included. SE + versus SE - patients had significantly longer disease duration and higher disease activity scores and were more likely to have erosive disease, have higher comorbidity burden, and be RF + (all p < 0.05). Among patients with one or two SE alleles (vs. 0), odds of being ACPA + were 1.97 (p = 0.0003) and 3.82 (p < 0.0001), respectively. SE + versus SE - patients had worse disease activity scores as indicated by mean increases in DAS28 (CRP) of 0.22, CDAI of 2.07, and SDAI of 2.43 over 1 year (all p < 0.05). Direct effect of SE + accounted for 76.4-80.1% of total effect in disease activity increases. CONCLUSIONS: SE is strongly associated with ACPA positivity and higher disease activity in patients with RA. SE was associated with greater increases in disease activity over 1 year, which was partially mediated by the presence of ACPA. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01793103; registration date: February 15, 2013, retrospectively registered.

Patients with rheumatoid arthritis (RA) experience inflamed and damaged joints. RA is an autoimmune disease where proteins called autoantibodies in the blood of patients with RA target the patient's own joint tissue and organs by mistake. This causes inflammation. Patients with certain autoantibodies, such as anti-citrullinated protein antibodies (ACPAs), may experience worse symptoms. There are certain genetic risk factors that may mean a person is more likely to develop RA. One example of a genetic risk factor is having the shared epitope (SE).Our study looked at almost 1000 patients with RA in the general population. It explored the impact of having SE and ACPAs on changes in RA disease activity. Patients with SE had RA for a longer time, had more severe disease, and were more likely to have other diseases compared with patients without SE. Patients with SE were also more likely to have ACPAs. Over the course of one year, patients with SE had larger increases in RA disease activity than those patients without SE, even though they were taking the same treatments. These results suggest that patients with the genetic risk factor, SE often have RA that is harder to treat. Doctors should take this into account when selecting treatment for RA.

The Clinical Disease Activity Index and the Routine Assessment of Patient Index Data 3 for Achievement of Treatment Strategies.

OBJECTIVE: To compare the Clinical Disease Activity Index (CDAI) with the Routine Assessment of Patient Index Data 3 (RAPID3) from 2 large United States registries. METHODS: Using a cross section of clinic visits within 2 registries, we determined whether the outcome of each metric would place the patient in remission (REM), low (LDA), moderate (MDA), or high disease activity (HDA) using the CDAI, with the assumption that a patient in MDA or HDA would be a candidate for acceleration of treatment. RESULTS: We identified significant disparities between the 2 indices in final disease categorization using each index system. For patients identified in LDA by CDAI, RAPID3 identified 20.4% and 28.3% as LDA in Corrona and the Brigham and Women's Rheumatoid Arthritis Sequential Study (BRASS), respectively. For patients identified as MDA by CDAI, RAPID3 identified 36.2% and 31.1% as MDA in Corrona and BRASS, respectively, with the greatest disparities within each system identified for LDA and MDA activity by the CDAI (20.4% and 36.2% agreement of RAPID3 with CDAI, respectively, in Corrona and 28.3% and 31.1% agreement in BRASS). Overall comparison between CDAI and RAPID3 in the 4 disease categories resulted in estimated κ = 0.285 in both. The RAPID3 scores indicated the potential for treat-to-target acceleration in 34.4% of patients in REM or LDA based on CDAI in Corrona and 27.7% in BRASS, respectively. CONCLUSION: The RAPID3, based on patient-reported outcomes, shows differences with CDAI categories of disease activity. The components of CDAI are not highly correlated with RAPID3, except for patient global assessment. These differences could significantly affect the decision to advance treatment when using a treat-to-target regimen.

Lifestyle and Clinical Risk Factors for Incident Rheumatoid Arthritis-associated Interstitial Lung Disease.

OBJECTIVE: To determine the association between novel lifestyle factors on risk of rheumatoid arthritis (RA)-associated interstitial lung disease (ILD), define the threshold at which smoking increases RA-ILD risk, and calculate the degree to which known lifestyle and clinical factors predict RA-ILD. METHODS: This nested case-control study matched incident RA-ILD cases to RA non-ILD controls on age, sex, RA duration, rheumatoid factor, and time from exposure assessment to RA-ILD. Exposures included education, BMI, smoking, anticyclic citrullinated peptide antibodies, race, joint erosions, rheumatoid nodules, C-reactive protein (CRP), disease activity score, functional status, disease-modifying antirheumatic drug use, and glucocorticoid use. OR for each exposure on risk of RA-ILD were obtained from logistic regression models. Area under the curve (AUC) was calculated based on all lifestyle and clinical exposures. RESULTS: We identified 84 incident RA-ILD cases and 233 matched controls. After adjustment, obesity, high-positive CRP (≥ 10 mg/L), and poor functional status (multidimensional Health Assessment Questionnaire [MDHAQ] ≥ 1) were associated with increased risk of RA-ILD (OR 2.42, 95% CI 1.11-5.24 vs normal BMI; OR 2.61, 95% CI 1.21-5.64 vs CRP < 3 mg/L; OR 3.10, 95% CI 1.32-7.26 vs MDHAQ < 0.2). Smoking 30 pack-years or more was strongly associated with risk of RA-ILD compared to never smokers (OR 6.06, 95% CI 2.72-13.5). Together, lifestyle and clinical risk factors for RA-ILD had an AUC of 0.79 (95% CI 0.73-0.85). CONCLUSION: Obesity, CRP, functional status, and extensive smoking may be novel risk factors for RA-ILD that may be useful for RA-ILD risk assessment and prevention. The overall ability to predict RA-ILD remains modest.

Rheumatoid arthritis-related lung disease detected on clinical chest computed tomography imaging: Prevalence, risk factors, and impact on mortality.

OBJECTIVE: We aimed to determine the real-world prevalence and investigate risk factors for rheumatoid arthritis (RA)-related lung disease on chest computed tomography (CT) imaging. We also investigated the impact of RA-related lung disease on mortality. METHODS: We studied chest CT imaging abnormalities among RA patients. We determined the presence and type of abnormalities using the chest CT imaging radiologic report. RA-related lung disease was defined as interstitial lung disease (ILD), bronchiectasis, or pleural disease. We examined whether demographics and RA characteristics were associated with RA-related lung disease using logistic regression. RA-related lung disease and mortality was described using survival curves and Cox regression. RESULTS: We analyzed 190 patients who had chest CT imaging performed for clinical indications. Mean age was 64.2 years (SD 11.8), 80.0% were female, and 75.3% were seropositive. RA-related lung disease was detected in 54 patients (28.4%); 30 (15.8%) had ILD, 27 (14.2%) had bronchiectasis, and 18 (9.5%) had pleural disease. RA-related lung disease was reported in both seropositive and seronegative RA (28.7% vs. 27.7%, p = 1.00). Male sex (OR 2.62, 95%CI 1.17-5.88) and current methotrexate use (OR 2.73, 95%CI 1.27-5.61 vs. not current) were associated with RA-related lung disease. Twenty-four (44.4%) patients with RA-related lung disease died during mean 7.0 years of follow-up. RA-related lung disease had HR of 5.35 (95%CI 0.72-39.9) for mortality compared to normal chest CT. CONCLUSIONS: In this real-world study, RA-related lung disease was commonly detected on chest CT imaging regardless of RA serostatus. RA-related lung disease had high mortality, emphasizing the importance in close monitoring of these patients.