Prevalence of Fibromyalgia and Widespread Pain in Psoriatic Arthritis: Association with Disease Severity Assessment in a Large US Registry.

BACKGROUND: The classic conception of pain etiology in rheumatologic disease is nociceptive pain - tissue injury and inflammation signaling through peripheral and central nerve fibers. But this can be mixed with other pain etiologies, including nociplastic, augmented pain experience due to central sensitization. The pain of fibromyalgia (FM) is nociplastic, occurs in 10-30% of rheumatologic disease patients, and its presence can influence disease severity assessment. OBJECTIVES: 1) Ascertain the prevalence of FM and Widespread Pain (WP) in the CorEvitas psoriatic arthritis (PsA) registry as assessed by the Widespread Pain Index (WPI) and Symptom Severity Scale (SSS) questionnaires. 2) Characterize the demographic and clinical factors associated with FM and WP. 3) Ascertain the association of FM and WP on the Clinical Disease Activity in Psoriatic Arthritis (cDAPSA) score and other disease activity measures. METHODS: PsA registry patients completing the WPI/SSS questionnaires since May 2020, at their most recent visit recorded in the registry, were analyzed. RESULTS: The analysis included 1823 PsA patients; 11.1% fulfilled FM definition and 20.6% fulfilled WP definition. Several factors were associated with FM definition including female sex, depression/anxiety, impaired function, increased body mass index (BMI), and increased number of comorbidities. cDAPSA, patient pain and global, and tender joint count were twice as severe in patients with FM compared to those without. CONCLUSION: Fibromyalgia prevalence is elevated in PsA and is associated with elevated disease measures, confounding reliable disease assessment for treat-to-target goals. Identification of fibromyalgia as an influential contextual factor in disease assessment is recommended.

Treatment Patterns and Effectiveness of Tofacitinib in Patients Initiating Therapy for Rheumatoid Arthritis: Results From the CorEvitas Rheumatoid Arthritis Registry.

OBJECTIVE: This real-world analysis assessed baseline demographics/characteristics and treatment patterns/effectiveness in patients with rheumatoid arthritis (RA) initiating tofacitinib (TOF) in the US CorEvitas RA Registry. METHODS: The primary analysis of this study included patients with RA initiating TOF with a 12-month follow-up visit from November 2012 to January 2021. Outcomes included baseline demographics/characteristics and TOF initiation/discontinuation reasons, treatment patterns, and effectiveness (disease activity and patient-reported outcomes [PROs] at 12 months); the primary effectiveness outcome was Clinical Disease Activity Index low disease activity (CDAI LDA). All data, analyzed descriptively, were stratified by TOF regimen (monotherapy vs combination therapy), line of therapy (second- to fourth-line), time of initiation (2012-2014, 2015-2017, or 2018-2020), and dose (5 mg twice daily vs 11 mg once daily). RESULTS: Of 2874 patients with RA who initiated TOF, 1298 had a qualifying 12-month follow-up visit; of these, 43.1% were monotherapy and 66.5% were fourth-line therapy. Overall, tumor necrosis factor inhibitors (40.8%) were the most common treatment immediately prior to TOF initiation. The most common reason for TOF initiation (among those with a reason) was lack/loss of efficacy of prior treatment (67.7%). Overall, at 12 months, 31.9% and 10.1% had achieved CDAI LDA and remission, respectively; 22.4%, 10.4%, and 5% had achieved ≥ 20%, ≥ 50%, and ≥ 70% improvement in modified American College of Rheumatology core set measures, respectively; and improvements in PROs were observed. Effectiveness was generally similar across TOF stratifications. CONCLUSION: TOF effectiveness (CDAI LDA) was observed in a US real-world setting of patients with RA regardless of TOF regimen, line of therapy, time of initiation, and dose. (ClinicalTrials.gov: NCT04721808).

Anti-citrullinated protein antibody profiles predict changes in disease activity in patients with rheumatoid arthritis initiating biologics.

OBJECTIVES: To determine whether an expanded antigen-specific ACPA profile predicts changes in disease activity in patients with RA initiating biologics. METHODS: The study included participants from a prospective, non-randomized, observational RA cohort. For this sub-study, treatment groups of interest included biologic-naïve initiating anti-TNF, biologic-exposed initiating non-TNF, and biologic-naïve initiating abatacept. ACPAs to 25 citrullinated peptides were measured using banked enrolment serum. Principal component analysis (PCA) was performed and associations of resulting principal component (PC) scores (in quartiles) and anti-CCP3 antibody (≤15, 16-250 or >250 U/ml) with EULAR (good/moderate/none) treatment response at 6 months were examined using adjusted ordinal regression models. RESULTS: Participants (n = 1092) had a mean age of 57 (13) years and 79% were women. At 6 months, 68.5% achieved a moderate/good EULAR response. There were three PCs that cumulatively explained 70% of variation in ACPA values. In models including the three components and anti-CCP3 antibody category, only PC1 and PC2 were associated with treatment response. The highest quartile for PC1 (odds ratio [OR] 1.76; 95% CI: 1.22, 2.53) and for PC2 (OR 1.74; 95% CI: 1.23, 2.46) were associated with treatment response after multivariable adjustment. There was no evidence of interaction between PCs and treatment group in EULAR responses (P-value for interaction >0.1). CONCLUSION: An expanded ACPA profile appears to be more strongly associated with biologic treatment response in RA than commercially available anti-CCP3 antibody levels. However, further enhancements to PCA will be needed to effectively prioritize between different biologics available for the treatment of RA.

A Model to Predict Future Biologic or Targeted Synthetic DMARD Switch at a Subsequent Clinic Visit in Rheumatoid Arthritis.

INTRODUCTION: To understand factors leading to biologic switches and to develop a readily usable model with data collected in clinical care at preceding visits, with the overall aim to predict the probability of switching biologic at a subsequent clinic visit in patients with rheumatoid arthritis (RA). METHODS: Participants were adults with RA participating in the CorEvitas RA registry. The study matched patients who switched biologics or targeted synthetic disease-modifying anti-rheumatic drugs (tsDMARDs) with control patients who had not switched biologics/tsDMARDs; the cohort was divided into a training and test set for prediction model development and validation. Using the training set, the best subset regression, lasso, and elastic net methods were used to determine the best potential models. Area under the ROC curve (AUC) was used for the final selection of the best model, and estimated coefficients of this model were applied to the test dataset to predict switching. RESULTS: A total of 5050 patients were included, of whom 3016 were in the training set and 2034 were in the test dataset. The average age was 59.6 years, the majority were female (3998, 79.2%), and the average duration of RA at the time of switch or control visit was 12.8 years. The final model included prior Clinical Disease Activity Index (CDAI) by category, prior patient pain measurement, change in CDAI from baseline, age group, and number of prior biologics, all of which were significantly associated with switching biologics. The AUC was 0.690 for this model with the training dataset. The model was then applied to the test data with similar performance; the AUC was 0.687. CONCLUSION: We have developed a simple model to determine the probability of switching biologics for RA at the following clinic visit. This model could be used in practice to provide clinicians with more information about their patient's trajectory and likelihood of switching to a new biologic.

Clinical Outcomes in Patients with Rheumatoid Arthritis After Switching Between Interleukin-6-Receptor Inhibitors and Janus Kinase Inhibitors: Findings from an Observational Study.

INTRODUCTION: This observational study evaluated response in patients with rheumatoid arthritis (RA) who switched from an interleukin-6 receptor inhibitor (IL-6Ri) to a Janus kinase inhibitor (JAKi) and vice versa. METHODS: Adult patients with RA, who initiated IL-6Ri or JAKi (following discontinuation of JAKi or IL-6Ri, respectively) during/after December 2012 and had a 6-month follow-up visit were enrolled. Clinical outcomes were evaluated at baseline and the follow-up visit. Continuous outcomes included Clinical Disease Activity Index (CDAI), Health Assessment Questionnaire (HAQ), pain, fatigue, tender joint count, swollen joint count, Physician Global Assessment (MDGA), Patient Global Assessment (PtGA), and morning stiffness duration. Categorical outcomes included the proportion of patients achieving CDAI low disease activity (LDA), remission, and minimal clinically important differences (MCIDs) for HAQ, pain, fatigue, MDGA, and PtGA. Continuous outcomes were summarized as mean changes from baseline, and categorical outcomes as response rates. Differences in the outcome measures between groups were evaluated using linear and logistic regression models. RESULTS: Between IL-6Ri (n = 100) and JAKi initiators (n = 129), no significant differences were noted for continuous outcomes. Within both groups, a significant proportion of patients achieved LDA, remission, and MCIDs for other measures, although the odds of achieving LDA were higher among IL-6Ri (vs. JAKi) initiators with moderate-to-severe disease (adjusted odds ratio: 3.30 [1.01, 10.78]). CONCLUSIONS: Patients with RA can achieve improvement in response when switching between IL-6Ri and JAKi. Although both therapies affect the IL-6 pathway, there are distinct mechanisms of action, which likely contribute to their clinical improvement, when reciprocally switched as follow-on treatments.

Treatment patterns and clinical outcomes in patients with rheumatoid arthritis initiating etanercept, adalimumab, or Janus kinase inhibitor as first-line therapy: results from the real-world CorEvitas RA Registry.

BACKGROUND: Real-world studies assessing the comparative effectiveness of biologic or targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) as first-line targeted therapy are scarce. We analyzed the real-world persistence and effectiveness of etanercept (ETN), adalimumab (ADA), and Janus kinase inhibitors (JAKis) as first-line therapy in b/tsDMARD-naïve patients with rheumatoid arthritis (RA). METHODS: Adults (≥ 18 years) enrolled in the CorEvitas RA Registry and initiating ETN, ADA, or a JAKi (alone or in combination with csDMARDs) between November 2012 and June 2021 were included if they had 6 and/or 12 months' follow-up. Treatment persistence and effectiveness outcomes including the change in Clinical Disease Activity Index (CDAI) and patient-reported outcomes (PROs) were evaluated at follow-up, adjusting for covariates using linear and logistic regression models. An exploratory analysis for patients on monotherapy was also conducted. RESULTS: Of 1059 ETN, 1327 ADA, and 581 JAKi initiators; 803 ETN, 984 ADA, and 361 JAKi initiators had 6 months' follow-up. JAKi initiators were older and had a relatively longer disease duration than ETN or ADA initiators (mean age: 61.3 vs 54.5 and 55.5 years; mean duration of RA: 8.1 vs 5.7 and 5.6 years). Unadjusted mean improvements in CDAI and PROs were similar between the groups at 6 months, except the proportion achieving LDA, remission, and MCID in CDAI, which were numerically higher in the ETN and ADA groups vs JAKi group (LDA: 43.4% and 41.9% vs 32.5%; remission: 18.2% and 15.1% vs 11.5%; MCID: 46.5% and 47.8% vs 38.0%). Adjusted effectiveness results did not reveal statistically significant differences between treatment groups at 6 months, with an exception in MCID (odds ratio [95% CI] for JAKi vs ETN: 0.65 [0.43-0.98]). At 6 months, 68.2% of ETN, 68.5% of ADA, and 66.5% of JAKi initiators remained on therapy. The findings at 12 months' follow-up and sensitivity analysis among monotherapy initiators also showed no differences in effectiveness outcomes between the groups. CONCLUSIONS: This analysis of real-world data from the CorEvitas RA Registry did not show differences in clinical effectiveness and treatment persistence rates in b/tsDMARD-naïve patients initiating ETN, ADA, or JAKi as first-line targeted therapy either alone or in combination with csDMARDs.

Comparative effectiveness of TNF inhibitor vs IL-6 receptor inhibitor as monotherapy or combination therapy with methotrexate in biologic-experienced patients with rheumatoid arthritis: An analysis from the CorEvitas RA Registry.

OBJECTIVE: Randomized controlled trials (RCTs) in biologic-naïve rheumatoid arthritis (RA) patients with high disease activity and inadequate response/intolerance to methotrexate have shown interleukin-6 (IL-6) receptor inhibitors (IL-6Ri) to be superior to tumor necrosis factor inhibitors (TNFi) as monotherapy. This observational study aimed to compare the effectiveness of TNFi vs IL-6Ri as mono- or combination therapy in biologic/targeted synthetic (b/ts) -experienced RA patients with moderate/high disease activity. METHODS: Eligible b/ts-experienced patients from the CorEvitas RA registry were categorized as TNFi and IL-6Ri initiators, with subgroups initiating as mono- or combination therapy. Mixed-effects regression models evaluated the impact of treatment on Clinical Disease Activity Index (CDAI), patient-reported outcomes, and disproportionate pain (DP). Unadjusted and covariate-adjusted effects were reported. RESULTS: Patients initiating IL-6Ri (n = 286) vs TNFi monotherapy (n = 737) were older, had a longer RA history and higher baseline CDAI, and were more likely to initiate as third-line therapy; IL-6Ri (n = 401) vs TNFi (n = 1315) combination therapy initiators had higher baseline CDAI and were more likely to initiate as third-line therapy. No significant differences were noted in the outcomes between TNFi and IL-6Ri initiators (as mono- or combination therapy). CONCLUSION: This observational study showed no significant differences in outcomes among b/ts-experienced TNFi vs IL-6Ri initiators, as either mono- or combination therapy. These findings were in contrast with the previous RCTs in biologic-naïve patients and could be explained by the differences in the patient characteristics included in this study. Further studies are needed to help understand the reasons for this discrepancy in the real-world b/ts-experienced population.

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.

The effect of targeted rheumatoid arthritis therapeutics on systemic inflammation and anemia: analysis of data from the CorEvitas RA registry.

BACKGROUND: To evaluate the effects of tumor necrosis factor inhibitors (TNFi), interleukin-6 receptor inhibitors (IL-6Ri), and Janus kinase inhibitors (JAKi) on hemoglobin (Hb) and C-reactive protein (CRP) levels in adults enrolled in CorEvitas (formerly Corrona), a large US rheumatoid arthritis (RA) registry. METHODS: Patients who initiated TNFi, IL-6Ri, or JAKi treatment during or after January 2010, had Hb and CRP measurements at baseline and 6-month follow-up (± 3 months) and had continued therapy at least until that follow-up, through March 2020, were included in the analysis. Changes in Hb and CRP were assessed at month 6. Abnormal Hb was defined as < 12 g/dL (women) or < 13 g/dL (men); abnormal CRP was ≥ 0.8 mg/dL. Differences in Hb and CRP levels were evaluated using multivariable regression. RESULTS: Of 2772 patients (TNFi, 65%; IL-6Ri, 17%; JAKi, 17%) evaluated, 1044 (38%) had abnormal Hb or CRP at initiation; an additional 252 (9%) had both abnormal Hb and CRP. At month 6, the IL-6Ri group had a greater Hb increase than the TNFi (mean difference in effect on Hb: 0.28 g/dL; 95% CI 0.19-0.38) and JAKi (mean difference in effect on Hb: 0.47 g/dL; 95% CI 0.35-0.58) groups, regardless of baseline Hb status (both p < 0.001). The CRP decrease at month 6 was greater with IL-6Ri compared with TNFi and JAKi, regardless of baseline CRP status (both p < 0.05). CONCLUSION: These real-world results align with the mechanism of IL-6R inhibition and may inform treatment decisions for patients with RA.

Perspectives on applying immuno-autonomics to rheumatoid arthritis: results from an online rheumatologist survey.

The term "immuno-autonomics" has been coined to describe an emerging field evaluating the interaction between stress, autonomic nervous system (ANS), and inflammation. The field remains largely unknown among practicing rheumatologists. Our objective was to evaluate the perspectives of rheumatologists regarding the role of stress in the activity and management of rheumatoid arthritis (RA). A 31-item survey was conducted with 231 rheumatologists. Rheumatologists were asked to assess the role of stress in rheumatoid arthritis (RA) disease activity and were provided with information regarding immuno-autonomics. They were asked to consider how immuno-autonomics resonated with their patient management needs. The majority of rheumatologists are eager to better understand non-response, believe that stress biology and ANS dysfunction interfere with disease activity, and embrace the theory that measurement of ANS via next-generation HRV may be able to evaluate autonomic dysfunction and the biology of stress. Rheumatologists are open to the idea that quantitative measurement of ANS function using next-generation HRV can be a helpful tool to RA practice. The majority agree that ANS state influences RA disease control and that quantitative measures of ANS state are helpful to RA practice. Rheumatologists also agree that patients with poor ANS function may be at risk for not responding adequately to conventional, biologic, or targeted synthetic DMARDs. Almost all would use an in-office test to quantitatively measure ANS using next-generation HRV. This study shows that rheumatologists are open to embracing evaluation of ANS function as a possible tool in the management and treatment of RA.

TNFi Cycling Versus Changing Mechanism of Action in TNFi-Experienced Patients: Result of the Corrona CERTAIN Comparative Effectiveness Study.

OBJECTIVE: Comparative effectiveness research can inform treatment decisions regarding the choice of biologics for rheumatoid arthritis (RA). The objective of this study is to compare the efficacy of tumor necrosis factor inhibitors (TNFis) and non-TNFis (nTNFis) in real-world patients with RA and past TNFi experience. METHODS: Comparative Effectiveness Registry to study Therapies for Arthritis and Inflammatory Conditions (CERTAIN) was nested within the United States Corrona registry. Adult patients with RA with moderate to high disease activity (Clinical Disease Activity Index [CDAI] >10) with exposure to one or more prior TNFis who were switching to a new TNFi or nTNFi (choice of therapy per physician choice) were enrolled. The primary outcome was the achievement of low disease activity (LDA) at 12 months (CDAI ≤10; disease activity score in 28 joints based on C-reactive protein [DAS28-CRP] <2.67). Propensity score modeling probability of treatment with nTNFi versus TNFi adjusted for imbalanced factors. The response rate was modeled using mixed-effect logistic regression models, adjusting for a priori and imbalanced baseline factors and accounting for the practice-related treatment patterns. RESULTS: After applying inclusion criteria, 939 biologic initiations were analyzed, 505 (53.7%) nTNFis and 434 (46.3%) TNFis. Patients who started nTNFis were significantly more likely to have longer disease duration, more prior TNFi use, and higher patient fatigue scores and were more likely to have government insurance. At 12 months, 28% of nTNFi and 24% of TNFi initiators were in LDA by CDAI, and 22% of nTNFi and 19% of TNFi initiators were in LDA by DAS28-CRP. After multivariable adjustment and controlling for the influence of site-related confounding, there were no significant differences in the likelihood to reach LDA by CDAI (adjusted odds ratio [aOR] = 1.12; 95% confidence interval [CI], 0.78-1.62) or DAS28-CRP (aOR = 1.16; 95% CI, 0.77-1.75). CONCLUSION: In this large, real-world study enrolling patients with RA with prior TNFi exposure, switching to an nTNFi biologic was comparable in its clinical effectiveness with switching to another TNFi.

Assessing predictors of rheumatoid arthritis-associated interstitial lung disease using quantitative lung densitometry.

OBJECTIVE: To assess predictors of subclinical RA-associated interstitial lung disease (RA-ILD) using quantitative lung densitometry (qLD). METHODS: RA patients underwent multi-detector row CT scanning at baseline and after an average of 39 months. Scans were analysed with qLD for the percentage of lung parenchyma with high attenuation areas (%HAA: the percentage of voxels of -600 to -250 Hounsfield units). Additionally, a pulmonary radiologist calculated an expert radiologist scoring (ERS) for RA-ILD features. Generalized linear models were used to identify indicators of baseline %HAA and predictors of %HAA change. RESULTS: Baseline %HAA was assessed in 193 RA patients and 106 had repeat qLD assessment. %HAA was correlated with ERS (Spearman's rho = 0.261; P < 0.001). Significant indicators of high baseline %HAA (>10% of lung parenchyma with high attenuation) included female sex, higher pack-years of smoking, higher BMI and anti-CCP ≥200 units, collectively contributing an area under the receiver operator curve of 0.88 (95% CI 0.81, 0.95). Predictors of %HAA increase, occurring in 49% with repeat qLD, included higher baseline %HAA, presence of mucin 5B (MUC5B) minor allele and absence of HLA-DRB1 shared epitope (area under the receiver operator curve = 0.69; 95% CI 0.58, 0.79). The association of the MUC5B minor allele with %HAA change was higher among men and those with higher cumulative smoking. Within the group with increased %HAA, anti-CCP level was significantly associated with a greater increase in %HAA. CONCLUSIONS: %HAA, assessed with qLD, was linked to several known risk factors for RA-ILD and may represent a more quantitative method to identify RA-ILD and track progression than expert radiologist interpretation.

Short-term dose and duration-dependent glucocorticoid risk for cardiovascular events in glucocorticoid-naive patients with rheumatoid arthritis.

OBJECTIVES: Rheumatoid arthritis (RA), along with glucocorticoid use, is associated with cardiovascular disease. Cardiovascular safety of glucocorticoids in RA is controversial and may be related to dose and duration of use. We determined if initiating glucocorticoids in steroid-naive RA patients would increase cardiovascular event (CVE) risk in a dose and duration-dependent manner over short-term intervals. METHODS: Patients enrolled in CorEvitas (formerly Corrona) RA registry. Cox proportional-hazards models estimated adjusted HRs (aHR) for incident CVE in patients who initiated glucocorticoid treatment, adjusting for RA duration, traditional cardiovascular risk factors and time-varying covariates: Clinical Disease activity Index, disease-modifying antirheumatic drugs use and prednisone-equivalent use. Glucocorticoid use assessed current daily dose, cumulative dose and duration of use over rolling intervals of preceding 6 months and 1 year. RESULTS: 19 902 patients met criteria. 1106 CVE occurred (1.66/100 person-years). Increased aHR occurred at current doses of ≥5-9 mg 1.56 (1.18-2.06) and ≥10 mg 1.91 (1.31-2.79), without increased risk at 0-4 mg 1.04 (0.55-1.59). Cumulative dose over preceding 6 months showed increased aHR at 751-1100 mg 1.43 (1.04-1.98) and >1100 mg 2.05 (1.42-2.94), without increased risk at lower doses; duration of use over preceding 6 months exhibited increased aHR for >81 days of use 1.54 (1.08-2.32), without increased risk at shorter durations. One-year analyses were consistent. CONCLUSIONS: Over preceding 6-month and 1-year intervals, initiating glucocorticoids in steroid-naïve RA patients is associated with increased risk of CVE at daily doses ≥5 mg and increased cumulative dose and duration of use. No association with risk for CVE was found with daily prednisone of ≤4 mg or shorter cumulative doses and durations.

A Molecular Signature Response Classifier to Predict Inadequate Response to Tumor Necrosis Factor-α Inhibitors: The NETWORK-004 Prospective Observational Study.

INTRODUCTION: Timely matching of patients to beneficial targeted therapy is an unmet need in rheumatoid arthritis (RA). A molecular signature response classifier (MSRC) that predicts which patients with RA are unlikely to respond to tumor necrosis factor-α inhibitor (TNFi) therapy would have wide clinical utility. METHODS: The protein-protein interaction map specific to the rheumatoid arthritis pathophysiology and gene expression data in blood patient samples was used to discover a molecular signature of non-response to TNFi therapy. Inadequate response predictions were validated in blood samples from the CERTAIN cohort and a multicenter blinded prospective observational clinical study (NETWORK-004) among 391 targeted therapy-naïve and 113 TNFi-exposed patient samples. The primary endpoint evaluated the ability of the MSRC to identify patients who inadequately responded to TNFi therapy at 6 months according to ACR50. Additional endpoints evaluated the prediction of inadequate response at 3 and 6 months by ACR70, DAS28-CRP, and CDAI. RESULTS: The 23-feature molecular signature considers pathways upstream and downstream of TNFα involvement in RA pathophysiology. Predictive performance was consistent between the CERTAIN cohort and NETWORK-004 study. The NETWORK-004 study met primary and secondary endpoints. A molecular signature of non-response was detected in 45% of targeted therapy-naïve patients. The MSRC had an area under the curve (AUC) of 0.64 and patients were unlikely to adequately respond to TNFi therapy according to ACR50 at 6 months with an odds ratio of 4.1 (95% confidence interval 2.0-8.3, p value 0.0001). Odds ratios (3.4-8.8) were significant (p value < 0.01) for additional endpoints at 3 and 6 months, with AUC values up to 0.74. Among TNFi-exposed patients, the MSRC had an AUC of up to 0.83 and was associated with significant odds ratios of 3.3-26.6 by ACR, DAS28-CRP, and CDAI metrics. CONCLUSION: The MSRC stratifies patients according to likelihood of inadequate response to TNFi therapy and provides patient-specific data to guide therapy choice in RA for targeted therapy-naïve and TNFi-exposed patients.

A blood-based molecular signature response classifier (MSRC) integrating next-generation RNA sequencing data with clinical features predicts the likelihood that a patient with rheumatoid arthritis will have an inadequate response to TNFi therapy. Treatment selection guided by test results, with likely inadequate responders appropriately redirected to a different therapy, could improve response rates to TNFi therapies, generate healthcare cost savings, and increase rheumatologists' confidence in prescribing decisions and altered treatment choices. The MSRC described in this study predicts the likelihood of inadequate response to TNFi therapies among targeted therapy-naïve and TNFi-exposed patients in a multicenter, 24-week blinded prospective clinical study: NETWORK-004. Patients with a molecular signature of non-response are less likely to have an adequate response to TNFi therapies than those patients lacking the signature according to ACR50, ACR70, CDAI, and DAS28-CRP with significant odds ratios of 3.4­8.8 for targeted therapy-naïve patients and 3.3­26.6 for TNFi-exposed patients. This MSRC provides a solution to the long-standing need for precision medicine tools to predict drug response in rheumatoid arthritis­a heterogeneous and progressive disease with an abundance of therapeutic options. These data validate the performance of the MSRC in a blinded prospective clinical study of targeted therapy-naïve and TNFi therapy-exposed patients.

Association Between Baseline Anti-cyclic Citrullinated Peptide Antibodies and 6-Month Clinical Response Following Abatacept or TNF Inhibitor Treatment: A Real-World Analysis of Biologic-Experienced Patients with RA.

INTRODUCTION: Anti-cyclic citrullinated peptide (anti-CCP) antibodies are associated with poor prognosis in patients with rheumatoid arthritis (RA). Previous data from randomized controlled trials and clinical practice have shown anti-CCP-positive (+) patients had a better response to treatment with abatacept or tumor necrosis factor inhibitor (TNFi) treatment than those who were anti-CCP negative. This study assessed the association between baseline anti-CCP2 [a surrogate for anti-citrullinated protein antibody (ACPA)] concentration and 6-month treatment responses to abatacept or TNFi in patients with RA. METHODS: This real-world analysis included biologic-experienced patients from CERTAIN (Comparative Effectiveness Registry to study Therapies for Arthritis and Inflammatory CoNditions) who initiated abatacept or TNFi, had prior biologic disease-modifying drug exposure and baseline anti-CCP2 concentration/serostatus and serum samples (baseline and 6 months). Baseline demographics and disease characteristics were compared. Change from baseline at 6 months in Clinical Disease Activity Index (CDAI) score and patient-reported outcomes [PROs: pain, fatigue, patient global assessment (PtGA), modified Health Assessment Questionnaire (mHAQ) score], by baseline anti-CCP2 quartile and binary cut-off (> 10-250 and > 250 U/ml), were evaluated separately in the abatacept and TNFi groups using a linear regression model adjusted for age, sex, CDAI/PROs, comorbidity index, and methotrexate use. RESULTS: Included were 138 abatacept and 137 TNFi initiators who were anti-CCP2+. At baseline, there were significant differences between anti-CCP2 quartiles and mean CDAI, swollen joint count 28, C-reactive protein (CRP), Disease Activity Score 28 (CRP), rheumatoid factor (RF), mHAQ and physician global assessment among abatacept initiators, and in mean RF, mHAQ, and PtGA among TNFi initiators. Among abatacept (but not TNFi) initiators, CDAI numerically improved (p = 0.208) and PROs significantly improved (p < 0.05) with increasing baseline anti-CCP2. CONCLUSIONS: In patients treated with abatacept, not TNFi, higher anti-CCP2 concentrations at baseline were associated with numerically greater improvements in CDAI and significant improvements in PROs after 6 months. CLINICAL TRIAL NUMBER: NCT01625650.

Rheumatoid arthritis (RA) is an autoimmune disease ­ a disease that causes the immune system to attack an individual's own body. A key feature of RA is the presence of proteins called autoantibodies in the blood. While antibodies help protect against external threats such as viruses, autoantibodies mistakenly target an individual's own tissues and organs. One type of autoantibody often found in patients with RA is called anti-cyclic citrullinated peptide (anti-CCP). Studies have shown that patients with RA with anti-CCP antibodies may experience worse physical symptoms, function, disease activity, and outcomes than patients with RA without anti-CCP antibodies. Clinical trials suggest that some drugs may be more effective than others at managing symptoms of RA in patients who have anti-CCP in their blood. It is important to study this further to give doctors a sense of how patients respond to drug therapy in the 'real world', without clinical trial constraints. This study examined real-world patient data to see whether the presence of anti-CCP in patients' blood impacted how their RA symptoms responded to treatment with two different drugs: abatacept or a tumor necrosis factor inhibitor (TNFi). This study found that patients with higher levels of anti-CCP at the start of the study, compared with patients with lower levels of anti-CCP, experienced less disease activity and greater improvement in physical function after 6 months of treatment with abatacept. The study found no relationship between anti-CCP and treatment response after 6 months of treatment with a TNFi.

Durability of Response to Tocilizumab Therapy in Rheumatoid Arthritis: Data from the US-Based Corrona Rheumatoid Arthritis Registry.

INTRODUCTION: Understanding the durability of response to treatment and factors associated with failure to maintain response in a real-world setting can inform treatment decisions for patients with rheumatoid arthritis (RA). The aim of this study was to analyze durability of response to tocilizumab (TCZ) and factors associated with durability among US patients with RA in routine clinical practice. METHODS: TCZ initiators in the Corrona RA Registry were included. Durability of response was defined as maintaining continuous TCZ treatment and either an improvement of at least minimum clinically important difference (MCID) in Clinical Disease Activity Index (CDAI) score or low disease activity (LDA). Secondary analyses included patients treated with intravenous (IV) TCZ and excluded those who discontinued TCZ without reporting reasons for discontinuation. Durability was calculated with Kaplan-Meier survival analysis. Cox proportional hazards modeling identified factors associated with durability. RESULTS: Among 1789 TCZ initiators, 466, 272, and 162 were persistent (with or without durable response) with follow-up visits at 1, 2, and 3 years, respectively. Median MCID durability of response in CDAI was > 50% after 36 months overall, 26 months for TCZ-IV, and > 50% after 36 months for those with known reasons for discontinuation; longer durability was associated with increased duration of RA and higher baseline CDAI score and shorter durability with history of malignancy and history of diabetes. Median LDA durability of response was 13.0 months overall, for TCZ-IV, and for those with known reasons for discontinuation; shorter durability was associated with history of malignancy, history of diabetes, and higher baseline CDAI score. CONCLUSIONS: Median durability of response to TCZ in RA was > 3 years when defined as maintenance of MCID in CDAI score and > 1 year with the more stringent criteria of maintenance of LDA. TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT01402661.

Postapproval Comparative Safety Study of Tofacitinib and Biological Disease-Modifying Antirheumatic Drugs: 5-Year Results from a United States-Based Rheumatoid Arthritis Registry.

OBJECTIVE: Tofacitinib is an oral Janus kinase inhibitor for the treatment of rheumatoid arthritis (RA). We compared 5-year adverse event (AE) incidence rates (IRs) between patients initiating tofacitinib and those initiating new biological disease-modifying antirheumatic drugs (bDMARDs) within the United States (US) Corrona RA registry. METHODS: IRs (number of first events/100 patient-years) of major adverse cardiovascular events (MACE), serious infection events (SIEs), herpes zoster (HZ), malignancies, and death were estimated among tofacitinib and bDMARD initiators, regardless of dose/schedule, between November 6, 2012 (US Food and Drug Administration tofacitinib approval), and July 31, 2018 (follow-up through January 31, 2019). Propensity score (PS) methods were used to control for nonrandom prescribing practices. Hazard ratios (HRs) were calculated to compare rates using multivariable-adjusted Cox regression. Different risk windows were used for acute (MACE, SIEs, HZ, and venous thromboembolic events [VTEs]) and long-term (malignancy and death) events. VTEs were assessed descriptively. RESULTS: For MACE, SIEs, and HZ, 1999 (3152.1 patient-years) and 8358 (12 869.4 years) tofacitinib and bDMARD initiators were included, respectively; for malignancy/death, 1999 (4505.6 patient-years) and 6354 (16 670.8 patient-years) initiators were included, respectively. AE rates were similar across cohorts, except for HZ, which was significantly higher with tofacitinib versus bDMARDs (PS-trimmed adjusted HR 2.32; 95% confidence interval [CI] 1.43-3.75). There were 45 (zero serious) and 88 (five serious) HZ events with tofacitinib and bDMARDs, respectively. Sensitivity analyses demonstrated similar results. VTE IRs (95% CI) were 0.29 (0.13-0.54) and 0.33 (0.24-0.45) for tofacitinib and bDMARDs, respectively. CONCLUSION: In this registry analysis, both cohorts had similar MACE, SIE, malignancy, death, and VTE rates; HZ rates were higher for tofacitinib initaitors than for bDMARD initiators.

Variable blood processing procedures contribute to plasma proteomic variability.

BACKGROUND: Plasma is a potentially rich source of protein biomarkers for disease progression and drug response. Large multi-center studies are often carried out to increase the number of samples analyzed in a given study. This may increase the chances of variation in blood processing and handling, leading to altered proteomic results. This study evaluates the impact of blood processing variation on LC-MS/MS proteomic analysis of plasma. METHODS: Initially two batches of patient plasma samples (120 and 204 samples, respectively) were analyzed using LC-MS/MS shotgun proteomics. Follow-up experiments were designed and carried out on healthy donor blood in order to examine the effects of different centrifugation conditions, length of delay until first centrifugation, storage temperature and anticoagulant type on results from shotgun proteomics. RESULTS: Variable levels of intracellular proteins were observed in subsets of patient plasma samples from the initial batches analyzed. This observation correlated strongly with the site of collection, implicating variability in blood processing procedures. Results from the healthy donor blood analysis did not demonstrate a significant impact of centrifugation conditions to plasma proteome variation. The time delay until first centrifugation had a major impact on variability, while storage temperature and anticoagulant showed less pronounced but still significant effects. The intracellular proteins associated with study site effect in patient plasma samples were significantly altered by delayed processing also. CONCLUSIONS: Variable blood processing procedures contribute significantly to plasma proteomic variation and may give rise to increased intracellular proteins in plasma. Accounting for these effects can be important both at study design and data analysis stages. This understanding will be valuable to incorporate in the planning of protein-based biomarker discovery efforts in the future.