A phase 1b study of nivolumab in patients with autoimmune disorders and advanced malignancies (AIM-NIVO)

TPS2676

Background: Nivolumab is an anti-PD1 monoclonal antibody approved for treatment of an increasing number of solid tumors and hematological malignancies. However, patients (pts) with history of autoimmune disorders are excluded from the majority of clinical trials testing immune-checkpoint inhibitors (ICI) such as anti-PD1/anti-PD-L1 antibodies. Consequently, the risks of flare ups, worsening of pre-existing autoimmune disorders or risk of de-novo immune related adverse events (irAEs) in pts with dysfunctional immune systems and tumor types who otherwise stand to benefit from ICI therapy are largely unknown, posing a challenge for oncologists. We are conducting a phase Ib study to test the hypothesis that nivolumab can be safely administered to pts with varying severity of Dermatomyositis, Systemic Sclerosis, Rheumatoid Arthritis, Systemic Lupus Erythematosus, Inflammatory Bowel Disease, Multiple Sclerosis and other autoimmune disorders (AIM-Nivo). Methods: AIM-Nivo is an open-label, multi-center ongoing phase Ib study with nivolumab 480mg IV every 28 days in pts with autoimmune diseases and advanced malignancies (NCT03816345). The study has autoimmune disease-specific cohorts overseen by a multidisciplinary group of experts. The primary objective is to assess the overall safety and toxicity profile of nivolumab in pts with autoimmune disorders and advanced malignancies. Secondary objectives are to evaluate the antitumor efficacy; the impact of nivolumab on the autoimmune disease severity indices; and to explore potential biomarkers of response, resistance, or toxicity for each of the autoimmune disease-specific cohorts. Key overall inclusion criteria include age ≥18 years, histologically confirmed advanced or metastatic malignancies in which ICI are approved or have shown clinical activity. Key overall exclusion criteria include prior therapy with anti-PD-1/PD-L1 antibodies. Specific eligibility criteria are defined for each disease-specific cohort. For each autoimmune disorder, severity level of the disease as defined by disease-specific severity indices will be assessed, and up to a total of 12 pts will be included in each disease cohort at each severity level (max 36 pts per cohort). Primary endpoints are dose-limiting toxicities, adverse events (AEs) and serious AEs. Continuous monitoring of toxicity will be conducted. Key secondary endpoints are best objective response per RECIST1.1; progression free and overall survival; and cohort specific tumor tissue, blood, and non-tumor tissue-based biomarkers. The AIM-Nivo trial opened in May 2019 and is enrolling pts through the National Cancer Institute Experimental Therapeutics Clinical Trials Network (ETCTN), Early Drug Development Opportunity Program (EDDOP), and Create Access to Targeted Cancer Therapy for Underserved Populations (CATCH-UP) sites. Clinical trial information: NCT03816345.

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.

RISK FACTORS FOR INFECTION AND HEALTH IMPACTS OF THE COVID-19 PANDEMIC IN PEOPLE WITH AUTOIMMUNE DISEASES

Background

People with autoimmune or inflammatory conditions who take immunomodulatory/suppressive medications may have a higher risk of novel coronavirus disease 2019 (COVID-19). Chronic disease care has also changed for many patients, with uncertain downstream consequences.

Objective

Assess whether COVID-19 risk is higher among those on immunomodulating or suppressive agents and characterize pandemic-associated changes to care.

Design

Longitudinal registry study.

Participants

4666 individuals with autoimmune or inflammatory conditions followed by specialists in neurology, rheumatology, cardiology, pulmonology or gastroenterology at Johns Hopkins.

Measurements

Periodic surveys querying comorbidities, disease-modifying medications, exposures, COVID-19 testing and outcomes, social behaviors, and disruptions to healthcare.

Results

A total of 265 (5.6%) developed COVID-19 over 9 months of follow-up (April-December 2020). Patient characteristics (age, race, comorbidity, medication exposure) were associated with differences in social distancing behaviors during the pandemic. Glucocorticoid exposure was associated with higher odds of COVID-19 in multivariable models incorporating behavior and other potential confounders (OR: 1.43; 95%CI: 1.08, 1.89). Other medication classes were not associated with COVID-19 risk. Diabetes (OR: 1.72; 95%CI: 1.08, 2.73), cardiovascular disease (OR: 1.68; 95%CI: 1.24, 2.28), and chronic kidney disease (OR: 1.76; 95%CI: 1.04, 2.97) were each associated with higher odds of COVID-19. Pandemic-related disruption to care was common. Of the 2156 reporting pre-pandemic utilization of infusion, mental health or rehabilitative services, 975 (45.2%) reported disruptions. Individuals experiencing changes to employment or income were at highest odds of care disruption.

Limitations

Results may not be generalizable to all patients with autoimmune or inflammatory conditions. Information was self-reported.

Conclusions

Exposure to glucocorticoids may increase risk of COVID-19 in people with autoimmune or inflammatory conditions. Disruption to healthcare and related services was common. Those with pandemic-related reduced income may be most vulnerable to care disruptions.

Autoantibodies targeting telomere-associated proteins in systemic sclerosis

OBJECTIVES

Systemic sclerosis (SSc) is an autoimmune fibrotic disease affecting multiple tissues including the lung. A subset of patients with SSc with lung disease exhibit short telomeres in circulating lymphocytes, but the mechanisms underlying this observation are unclear.

METHODS

Sera from the Johns Hopkins and University of California, San Francisco (UCSF) Scleroderma Centers were screened for autoantibodies targeting telomerase and the shelterin proteins using immunoprecipitation and ELISA. We determined the relationship between autoantibodies targeting the shelterin protein TERF1 and telomere length in peripheral leucocytes measured by qPCR and flow cytometry and fluorescent in situ hybridisation (Flow-FISH). We also explored clinical associations of these autoantibodies.

RESULTS

In a subset of patients with SSc, we identified autoantibodies targeting telomerase and the shelterin proteins that were rarely present in rheumatoid arthritis, myositis and healthy controls. TERF1 autoantibodies were present in 40/442 (9.0%) patients with SSc and were associated with severe lung disease (OR 2.4, p=0.04, Fisher's exact test) and short lymphocyte telomere length. 6/6 (100%) patients with TERF1 autoantibodies in the Hopkins cohort and 14/18 (78%) patients in the UCSF cohort had a shorter telomere length in lymphocytes or leukocytes, respectively, relative to the expected age-adjusted telomere length. TERF1 autoantibodies were present in 11/152 (7.2%) patients with idiopathic pulmonary fibrosis (IPF), a fibrotic lung disease believed to be mediated by telomere dysfunction.

CONCLUSIONS

Autoantibodies targeting telomere-associated proteins in a subset of patients with SSc are associated with short lymphocyte telomere length and lung disease. The specificity of these autoantibodies for SSc and IPF suggests that telomere dysfunction may have a distinct role in the pathogenesis of SSc and pulmonary fibrosis.

Patients and clinicians define symptom levels and meaningful change for PROMIS pain interference and fatigue in RA using bookmarking

OBJECTIVES

Using patient-reported outcomes to inform clinical decision-making depends on knowing how to interpret scores. Patient-Reported Outcome Measurement Information System® (PROMIS®) instruments are increasingly used in rheumatology research and care, but there is little information available to guide interpretation of scores. We sought to identify thresholds and meaningful change for PROMIS Pain Interference and Fatigue scores from the perspective of RA patients and clinicians.

METHODS

We developed patient vignettes using the PROMIS item banks representing a continuum of Pain Interference and Fatigue levels. During a series of face-to-face 'bookmarking' sessions, patients and clinicians identified thresholds for mild, moderate and severe levels of symptoms and identified change deemed meaningful for making treatment decisions.

RESULTS

In general, patients selected higher cut points to demarcate thresholds than clinicians. Patients and clinicians generally identified changes of 5-10 points as representing meaningful change. The thresholds and meaningful change scores of patients were grounded in their lived experiences having RA, approach to self-management, and the impacts on function, roles and social participation.

CONCLUSION

Results offer new information about how both patients and clinicians view RA symptoms and functional impacts. Results suggest that patients and providers may use different strategies to define and interpret RA symptoms, and select different thresholds when describing symptoms as mild, moderate or severe. The magnitude of symptom change selected by patients and clinicians as being clinically meaningful in interpreting treatment efficacy and loss of response may be greater than levels determined by external anchor and statistical methods.

Diminished cytokine-induced Jak/STAT signaling is associated with rheumatoid arthritis and disease activity

Rheumatoid arthritis (RA) is a systemic and incurable autoimmune disease characterized by chronic inflammation in synovial lining of joints. To identify the signaling pathways involved in RA, its disease activity, and treatment response, we adapted a systems immunology approach to simultaneously quantify 42 signaling nodes in 21 immune cell subsets (e.g., IFNα→p-STAT5 in B cells) in peripheral blood mononuclear cells (PBMC) from 194 patients with longstanding RA (including 98 patients before and after treatment), and 41 healthy controls (HC). We found multiple differences between patients with RA compared to HC, predominantly in cytokine-induced Jak/STAT signaling in many immune cell subsets, suggesting pathways that may be associated with susceptibility to RA. We also found that high RA disease activity, compared to low disease activity, was associated with decreased (e.g., IFNα→p-STAT5, IL-10→p-STAT1) or increased (e.g., IL-6→STAT3) response to stimuli in multiple cell subsets. Finally, we compared signaling in patients with established, refractory RA before and six months after initiation of methotrexate (MTX) or TNF inhibitors (TNFi). We noted significant changes from pre-treatment to post-treatment in IFNα→p-STAT5 signaling and IL-10→p-STAT1 signaling in multiple cell subsets; these changes brought the aberrant RA signaling profiles toward those of HC. This large, comprehensive functional signaling pathway study provides novel insights into the pathogenesis of RA and shows the potential of quantification of cytokine-induced signaling as a biomarker of disease activity or treatment response.

The Relationship Between Autonomic Dysfunction of the Gastrointestinal Tract and Emotional Distress in Patients With Systemic Sclerosis

BACKGROUND/OBJECTIVES

We hypothesized that emotional distress in systemic sclerosis (SSc) patients with moderate to severe gastrointestinal (GI) dysfunction is associated with dysautonomia. We sought to determine (1) the clinical characteristics associated with emotional distress in SSc, (2) the odds of having dysautonomia in those with emotional distress, and (3) whether GI dysautonomia, as measured by the Survey of Autonomic Symptoms (SAS), correlates with GI dysautonomia on the Composite Autonomic Symptom Score-31 (COMPASS-31).

METHODS

Clinical and demographic features from our prospective cohort study were compared among SSc patients with and without GI-associated emotional distress (University of California at Los Angeles Scleroderma Clinical Trial Consortium Gastrointestinal Tract 2.0 well-being subscale >0.5 or ≤0.5) in cross-sectional analysis. Covariates/confounders independently associated with emotional distress were used to construct multivariable logistic regression models. The COMPASS-31 and SAS GI subdomains were compared with Spearman correlation.

RESULTS

Forty-six patients with SSc were enrolled in the study. In univariate analyses, age (odds ratio [OR], 1.06; p = 0.026), severity of GI dysautonomia (COMPASS-31: OR, 1.41; p = 0.003), anti-centromere (A/B) antibodies (OR, 3.60; p = 0.044), and anti-PM-Scl (75/100) antibodies (OR, 0.15; p = 0.035) were associated with emotional distress. In the adjusted model, those with more severe GI dysautonomia remained more likely to have emotional distress (OR, 1.85; p = 0.026); those with anti-PM-Scl (75/100) antibodies were less likely to have emotional distress (OR, 0.03; p = 0.031). The SAS and COMPASS-31 GI subdomains moderately correlated (ρ = 0.68, p < 0.001).

CONCLUSIONS

In SSc, increased symptom burden related to GI dysautonomia is associated with emotional distress. Multidisciplinary approaches addressing both the physical and emotional needs of the SSc patient may be warranted to optimize patient care.

Association of Dysregulated Central Pain Processing and Response to Disease-Modifying Antirheumatic Drug Therapy in Rheumatoid Arthritis

OBJECTIVE

To determine the association between dysregulated central pain processing and treatment response in rheumatoid arthritis (RA).

METHODS

One hundred eighty-two participants with active RA were followed up for 12 weeks after starting a disease-modifying antirheumatic drug (DMARD). To assess central pain processing, participants underwent quantitative sensory testing (QST), including assessment of pressure pain thresholds (PPTs) at the trapezius muscles, temporal summation, and conditioned pain modulation (CPM). QST measures were categorized as high central dysregulation versus low central dysregulation. The association between baseline central dysregulation and treatment response, as defined by the European League Against Rheumatism (EULAR) response criteria, was assessed using multiple logistic regression adjusted for demographic characteristics, RA-related variables, and psychosocial variables.

RESULTS

A good EULAR response was achieved in fewer participants with high CPM dysregulation than participants with low CPM dysregulation (22.5% versus 40.3%; P = 0.01). A similar trend, though not significant, was noted when central dysregulation was assessed with PPT and temporal summation. The adjusted odds ratios (ORs) for the association between high central dysregulation and good EULAR response were 0.59 for PPTs (95% confidence interval [95% CI] 0.28-1.23), 0.60 for temporal summation (95% CI 0.27-1.34), and 0.40 for CPM (95% CI 0.19-0.83). In a model examining the combined effects of dysregulated temporal summation and CPM, dysregulation of both measures was associated with lower odds of achieving a good EULAR response (OR 0.23 [95% CI 0.07-0.73]).

CONCLUSION

Low CPM was significantly associated with lower odds of achieving a good EULAR response, suggesting that inefficient descending inhibitory mechanisms may be a potential treatment target for further study.

Expert Perspective: Immune Checkpoint Inhibitors and Rheumatologic Complications

Rheumatologists increasingly receive consults for patients treated with immune checkpoint inhibitors (ICIs) for cancer. ICIs can cause inflammatory syndromes known as immune-related adverse events (IRAEs). Several rheumatic IRAEs have been reported, including inflammatory arthritis, polymyalgia rheumatica, and myositis. For patients who present with musculoskeletal symptoms while receiving ICI therapy, it is important to have an algorithm for evaluation. The differential diagnosis includes a range of musculoskeletal syndromes, such as crystalline arthritis, mechanical issues, and osteoarthritis, in addition to IRAEs. After diagnosing a rheumatic IRAE, rheumatologists must work with the patient and the oncologist to form a treatment plan. Treatment of IRAEs is guided by severity. Evidence for management is limited to observational studies. Inflammatory arthritis and polymyalgia rheumatica are treated with nonsteroidal antiinflammatory drugs in mild cases, glucocorticoids for moderate-to-severe cases, and sometimes require other disease-modifying antirheumatic drugs. Myositis due to ICIs can be accompanied by myocarditis or myasthenia gravis. Glucocorticoids and withholding the ICI are usually required to treat myositis; some patients with severe myositis require intravenous immunoglobulin or plasmapheresis. Further research is needed to optimize treatment of IRAEs that does not compromise the antitumor effect of ICIs.

Identifying Minimal and Meaningful Change in PROMIS® for Rheumatoid Arthritis: Use of Multiple Methods and Perspectives

BACKGROUND

Rheumatoid arthritis (RA) is chronic, painful, disabling condition resulting in significant impairments in physical, emotional, and social health. We used different methods and perspectives to evaluate the responsiveness of PROMIS® short forms (SFs) and identify minimal and meaningful score changes.

METHODS

Adults with RA enrolled in a multi-site prospective observational cohort completed PROMIS Physical Function, Pain Interference, Fatigue, Participation in Social Roles/Activities SFs, PROMIS-29, and pain, patient global, and rated change in specific symptoms and RA (a little vs. lot better or worse) at the second visit. Physicians recorded joint counts, MD Global Assessment, and change in RA at visit 2. We compared mean score differences for minimal and meaningful improvement/worsening using patient and MD change ratings and distribution-based methods, and visually inspected empirical cumulative distribution function curves by change categories.

RESULTS

The 348 adults were mostly (81%) female with longstanding RA. Using patient ratings, generally 1-3 point differences were observed for minimal change and 3-7 points for meaningful change. Larger differences were observed with patient vs. physician ratings and for symptom-specific vs. RA change. Mean differences were similar among SF versions. Prespecified hypotheses about change in PROMIS Physical Function, Pain Interference, Fatigue and Participation and legacy scales were supported.

CONCLUSIONS

PROMIS SFs and the PROMIS-29 Profile are responsive to change and generally distinguish between minimal and meaningful improvement and worsening in key RA domains. These data add to a growing body of evidence demonstrating robust psychometric properties of PROMIS and supporting use in RA care, research, and decision-making.

Data-Driven Patient Clustering and Differential Clinical Outcomes in the Brigham and Women's Rheumatoid Arthritis Sequential Study Registry

Objective

To use unbiased, data‐driven, principal component (PC) and cluster analysis to identify patient phenotypes of rheumatoid arthritis (RA) that might exhibit distinct trajectories of disease progression, response to treatment, and risk for adverse events.

Methods

Patient demographic, socioeconomic, health, and disease characteristics recorded at entry into a large, single‐center, prospective observational registry cohort, the Brigham and Women’s Rheumatoid Arthritis Sequential Study (BRASS), were harmonized using PC analysis to reduce dimensionality and collinearity. The number of PCs was established by eigenvalue >1, cumulative variance, and interpretability. The resulting PCs were used to cluster patients using a K‐means approach. Longitudinal clinical outcomes were compared between the clusters over 2 years.

Results

Analysis of 142 variables from 1,443 patients identified 41 PCs that accounted for 77% of the cumulative variance in the data set. Cluster analysis distinguished 5 patient clusters: 1) less RA disease activity/multimorbidity, shorter RA duration, lower incidence of comorbidities; 2) less RA disease activity/multimorbidity, longer RA duration, more infections, psychiatric comorbidities, health care utilization; 3) moderate RA disease activity/multimorbidity, more neurologic comorbidity; 4) more RA disease activity/multimorbidity, shorter RA duration, more metabolic comorbidity, higher body mass index; 5) more RA disease activity/multimorbidity, longer RA duration, more hepatic, orthopedic comorbidity and RA‐related surgeries. The clusters exhibited differences in clinical outcomes over 2 years of follow‐up.

Conclusion

Data‐driven analysis of the BRASS registry identified 5 distinct phenotypes of RA. These results illustrate the potential of data‐driven patient profiling as a tool to support personalized medicine in RA. Validation in an independent data set is ongoing.

IL-17 and immunologically induced senescence regulate response to injury in osteoarthritis

Senescent cells (SnCs) are implicated in the pathogenesis of age-related diseases including osteoarthritis (OA), in part via expression of a senescence-associated secretory phenotype (SASP) that includes immunologically relevant factors and cytokines. In a model of posttraumatic OA (PTOA), anterior cruciate ligament transection (ACLT) induced a type 17 immune response in the articular compartment and draining inguinal lymph nodes (LNs) that paralleled expression of the senescence marker p16INK4a (Cdkn2a) and p21 (Cdkn1a). Innate lymphoid cells, γδ+ T cells, and CD4+ T cells contributed to IL-17 expression. Intra-articular injection of IL-17-neutralizing antibody reduced joint degeneration and decreased expression of the senescence marker Cdkn1a. Local and systemic senolysis was required to attenuate tissue damage in aged animals and was associated with decreased IL-17 and increased IL-4 expression in the articular joint and draining LNs. In vitro, we found that Th17 cells induced senescence in fibroblasts and that SnCs skewed naive T cells toward Th17 or Th1, depending on the presence of TGF-β. The SASP profile of the inflammation-induced SnCs included altered Wnt signaling, tissue remodeling, and cell-cycle pathways not previously implicated in senescence. These findings provide molecular targets and mechanisms for senescence induction and therapeutic strategies to support tissue healing in an aged environment.

Patient-reported outcomes in RA care improve patient communication, decision-making, satisfaction and confidence: qualitative results

OBJECTIVE

To evaluate the impact of integrating patient-reported outcomes (PROs) into routine clinics, from the perspective of patients with RA, clinicians and other staff.

METHODS

We conducted a prospective cohort study using a mixed methods sequential explanatory design at an academic arthritis clinic. RA patients completed selected Patient-Reported Outcomes Measurement Information System measures on tablets in the waiting room. Results were immediately available to discuss during the visit. Post-visit surveys with patients and physicians evaluated topics discussed and their impact on decision making; patients rated confidence in treatment. Focus groups or interviews with patients, treating rheumatologists and clinic staff were conducted to understand perspectives and experiences.

RESULTS

Some 196 patients and 20 rheumatologists completed post-visit surveys at 816 and 806 visits, respectively. Focus groups were conducted with 24 patients, 10 rheumatologists and 4 research/clinic staff. PROs influenced medical decision-making and RA treatment changes (38 and 18% of visits, respectively). Patients reported very high satisfaction and treatment confidence. Impact on clinical workflow was minimal after a period of initial adjustment. PROs were valued by patients and physicians, and provided new insight into how patients felt and functioned over time. Reviewing results together improved communication, and facilitated patient-centred care, shared decision making, and the identification of new symptoms and contributing psychosocial/behavioural factors.

CONCLUSION

PRO use at RA visits was feasible, increased understanding of how disease affects how patients feel and function, facilitated shared decision-making, and was associated with high patient satisfaction and treatment confidence.

Assessing the content validity of patient-reported outcome measures in adult myositis: A report from the OMERACT myositis working group

OBJECTIVE

To investigate the content validity of several patient-reported outcome measures (PROMs) in patients with idiopathic inflammatory myopathies (IIM).

METHODS

Seven individual PROM instruments were selected by the Outcome Measures in Rheumatology (OMERACT) Myositis Working Group relating to the following domains: pain, fatigue, physical function and physical activity. Twenty patients from the Johns Hopkins Myositis Center were selected for one-on-one face-to-face or phone interviews for cognitive interviewing of individual PROMs to assess comprehension and content validity. Additionally, patients were asked if they thought muscle symptoms, an area originally identified in qualitative studies, were encapsulated by the other four domains.

RESULTS

The majority of patients (>70%) felt that each of the instruments was clear, easy to read and understand, and could be used for assessment of its domain. Two-thirds (66%) of patients felt that 'muscle symptoms' were captured by the other domains.

CONCLUSIONS

We provided evidence to support adequate content validity for several PROMs. Further research is needed to determine whether 'muscle symptoms' warrant a separate domain.

A Multidisciplinary Toxicity Team for Cancer Immunotherapy-Related Adverse Events

BACKGROUND

Immune checkpoint inhibitors (ICIs) may cause immune-related adverse events (irAEs). Methods to obtain real-time multidisciplinary input for irAEs that require subspecialist care are unknown. This study aimed to determine whether a virtual multidisciplinary immune-related toxicity (IR-tox) team of oncology and medicine subspecialists would be feasible to implement, be used by oncology providers, and identify patients for whom multidisciplinary input is sought.

PATIENTS AND METHODS

Patients treated with ICIs and referred to the IR-tox team in August 2017 through March 2018 were identified. Feasibility was defined as receipt of electronic referrals and provision of recommendations within 24 hours of referral. Use was defined as the proportion of referring providers who used the team's recommendations, which was determined through a postpilot survey. Demographics and tumor, treatment, and referral data were collected. Patient features and irAE associations were analyzed.

RESULTS

The IR-tox team was found to be feasible and used: 117 referrals from 102 patients were received in 8 months, all providers received recommendations within 24 hours, 100% of surveyed providers used the recommendations, and 74% changed patient management based on IR-tox team recommendations. Referrals were for suspected irAEs (n=106; 91%) and suitability to treat with ICIs (n=11; 10%). In referred patients, median age was 64 years, 54% were men, 13% had prior autoimmunity, and 46% received ICI combinations versus monotherapy (54%). The most commonly referred toxicities were pneumonitis (23%), arthritis (16%), and dermatitis (15%); 15% of patients had multisystem toxicities. Multiple referrals were more common in those treated with combination ICIs (odds ratio [OR], 6.0; P=.035) or with multisystem toxicities (OR, 8.1; P=.005). The IR-tox team provided a new multidisciplinary forum to assist providers in diagnosing and managing complex irAEs. This model identifies educational and service needs, and patients with irAEs for whom multidisciplinary care is most sought.

CONCLUSIONS

A virtual multidisciplinary toxicity team for irAEs was a feasible and used service, and facilitated toxicity identification and management.

Association of Pain Centralization and Patient-Reported Pain in Active Rheumatoid Arthritis

OBJECTIVE

Pain is a significant burden for patients with rheumatoid arthritis (RA) despite advancements in treatment. We undertook this study to examine the independent contribution of pain centralization to the pain experience of patients with active RA.

METHODS

A total of 263 RA patients with active disease underwent quantitative sensory testing (QST), including assessment of extraarticular pressure pain thresholds (PPTs), temporal summation (TS), and conditioned pain modulation (CPM). The pain experience was assessed by a pain intensity numeric rating scale and the Patient-Reported Outcomes Measurement Information System pain interference computerized adaptive test. We examined associations between QST measures and pain intensity and pain interference. Multiple linear regression models were adjusted for demographic and clinical variables, including swollen joint count and C-reactive protein level.

RESULTS

Patients with the lowest PPTs (most central dysregulation) reported higher pain intensity than patients with the highest PPTs (adjusted mean difference 1.02 [95% confidence interval (95% CI) 0.37, 1.67]). Patients with the highest TS (most central dysregulation) had higher pain intensity than those with the lowest TS (adjusted mean difference 1.19 [95% CI 0.54, 1.84]). CPM was not associated with differences in pain intensity. PPT and TS were not associated with pain interference. Patients with the lowest CPM (most centrally dysregulated) had lower pain interference than patients with the highest CPM (adjusted mean difference -2.35 [95% CI -4.25, -0.44]).

CONCLUSION

Pain centralization, manifested by low PPTs and high TS, was associated with more intense pain. Clinicians should consider pain centralization as a contributor to pain intensity, independent of inflammation.

Outcomes and Findings of the International Rheumatoid Arthritis (RA) BIODAM Cohort for Validation of Soluble Biomarkers in RA

OBJECTIVE

The Outcome Measures in Rheumatology Soluble Biomarker Working Group initiated an international, multicenter, prospective study, the Rheumatoid Arthritis (RA) BIODAM cohort, to generate resources for the clinical validation of candidate biomarkers predictive of radiographic progression. This first report describes the cohort, clinical outcomes, and radiographic findings.

METHODS

Patients with RA from 38 sites in 10 countries starting or changing conventional synthetic disease-modifying antirheumatic drugs and/or starting tumor necrosis factor inhibitors were followed for 2 years. Participating physicians were required to adhere to a treat-to-target strategy. Biosamples (serum, urine) were acquired every 3 months, radiography of hands and feet every 6 months, and ultrasound of hands and feet every 3 months in a subset. Primary endpoint was radiographic progression by the Sharp/van der Heijde score.

RESULTS

A total of 571 patients were recruited and 439 (76.9%) completed 2-year followup. At baseline, the majority was female (76%), mean age 55.7 years, and mean disease duration 6.5 years. Patients had a mean of 8.4 swollen and 13.6 tender joints, 44-joint count Disease Activity Score (DAS44) 3.8, 77.7% rheumatoid factor-positive or anticitrullinated protein antibody-positive. Percentage of patients in DAS and American College of Rheumatology remission at 2 years was 52.2% and 27.1%, respectively. Percentage of patients with radiographic progression (> 0.5) at 1 and 2 years was 38.2% and 59.9%, respectively.

CONCLUSION

The RA BIODAM prospective study succeeded in generating an extensive list of clinical, imaging (2343 radiographs), and biosample (4638 sera) resources that will be made available to expedite the identification and validation of biomarkers for radiographic damage endpoints. (Clinicaltrials.gov: NCT01476956, clinicaltrials.gov/ct2/show/NCT01476956).

A phase Ib study of nivolumab in patients with autoimmune disorders and advanced malignancies (AIM-NIVO)

TPS3158

Background: Immune checkpoint inhibitors (ICI) such as anti-PD-1/PD-L1 antibodies have become a pivotal approach to cancer therapy. Nivolumab is an anti-PD1 antibody approved for an increasing number of solid tumors and hematological malignancies. However, patients (pts) with history of autoimmune disorders are excluded from the majority of clinical trials testing ICI. Consequently, the risks of flares and worsening of pre-existing autoimmune disorders in pts with tumor types who otherwise stand to benefit from ICI therapy are largely unknown, posing a challenge for oncologists. We are conducting a phase Ib study to test the hypothesis that nivolumab can be safely administered to pts with varying severity of Dermatomyositis, Systemic Sclerosis, Rheumatoid Arthritis, Systemic Lupus Erythematosus, Inflammatory Bowel Disease, Multiple Sclerosis, Sjögren's Syndrome and Other Autoimmune Disorders (AIM-Nivo). Methods: AIM-Nivo is an open-label, multi-center ongoing phase Ib study with nivolumab 480mg IV every 28 days in pts with autoimmune diseases and advanced malignancies (NCT03816345). The study has autoimmune disease-specific cohorts overseen by a multidisciplinary group of experts. The primary objective is to assess the overall safety and toxicity profile of nivolumab in pts with autoimmune disorders and advanced malignancies. Secondary objectives are to evaluate the antitumor efficacy, the impact of nivolumab on the autoimmune disease severity indices, and to explore potential biomarkers of response, resistance or toxicity. Key overall inclusion criteria include age ≥18 years, histologically confirmed advanced malignancies in which ICI are approved or have shown clinical activity. Key overall exclusion criteria include prior therapy with anti-PD-1/PD-L1 antibodies. Specific eligibility criteria are defined for each disease-specific cohort. For each autoimmune disorder, severity level of the disease as defined by disease-specific severity indices will be assessed, and up to a total of 12 pts will be included in each disease cohort at each severity level. Primary endpoints are dose-limiting toxicities, adverse events (AEs) and serious AEs. Continuous monitoring of toxicity will be conducted. Key secondary endpoints are best objective response, progression free and overall survival and cohort specific tumor tissue, blood and non-tumor tissue-based biomarkers. The AIM-Nivo trial opened in May 2019 and is enrolling pts through the National Cancer Institute Experimental Therapeutics Clinical Trials Network (ETCTN). Clinical trial information: NCT03816345 .

EULAR points to consider for the diagnosis and management of rheumatic immune-related adverse events due to cancer immunotherapy with checkpoint inhibitors

Background

Rheumatic and musculoskeletal immune-related adverse events (irAEs) are observed in about 10% of patients with cancer receiving checkpoint inhibitors (CPIs). Given the recent emergence of these events and the lack of guidance for rheumatologists addressing them, a European League Against Rheumatism task force was convened to harmonise expert opinion regarding their identification and management.

Methods

First, the group formulated research questions for a systematic literature review. Then, based on literature and using a consensus procedure, 4 overarching principles and 10 points to consider were developed.

Results

The overarching principles defined the role of rheumatologists in the management of irAEs, highlighting the shared decision-making process between patients, oncologists and rheumatologists. The points to consider inform rheumatologists on the wide spectrum of musculoskeletal irAEs, not fulfilling usual classification criteria of rheumatic diseases, and their differential diagnoses. Early referral and facilitated access to rheumatologist are recommended, to document the target organ inflammation. Regarding therapeutic, three treatment escalations were defined: (1) local/systemic glucocorticoids if symptoms are not controlled by symptomatic treatment, then tapered to the lowest efficient dose, (2) conventional synthetic disease-modifying antirheumatic drugs, in case of inadequate response to glucocorticoids or for steroid sparing and (3) biological disease-modifying antirheumatic drugs, for severe or refractory irAEs. A warning has been made on severe myositis, a life-threatening situation, requiring high dose of glucocorticoids and close monitoring. For patients with pre-existing rheumatic disease, baseline immunosuppressive regimen should be kept at the lowest efficient dose before starting immunotherapies.

Conclusion

These statements provide guidance on diagnosis and management of rheumatic irAEs and aim to support future international collaborations.

Immune checkpoint inhibitor-induced inflammatory arthritis as a model of autoimmune arthritis

The development of inflammatory arthritis in patients receiving immune checkpoint inhibitor therapy is increasingly recognized due to the growing use of these drugs for the treatment of cancer. This represents an important opportunity not only to define the mechanisms responsible for the development of this immune-related adverse event and to ultimately predict or prevent its development, but also to provide a unique window into early events in the development of inflammatory arthritis. Knowledge gained through the study of this patient population, for which the inciting event is known, could shed light into the pathogenesis of autoimmune arthritis. This review will highlight the clinical and immunologic features of these entities to define common elements for future study.

Is treat-to-target really working in rheumatoid arthritis? a longitudinal analysis of a cohort of patients treated in daily practice (RA BIODAM)

OBJECTIVES

To investigate whether following a treat-to-target (T2T)-strategy in daily clinical practice leads to more patients with rheumatoid arthritis (RA) meeting the remission target.

METHODS

RA patients from 10 countries starting/changing conventional synthetic or biological disease-modifying anti-rheumatic drugs were assessed for disease activity every 3 months for 2 years (RA BIODAM (BIOmarkers of joint DAMage) cohort). Per visit was decided whether a patient was treated according to a T2T-strategy with 44-joint disease activity score (DAS44) remission (DAS44 <1.6) as the target. Sustained T2T was defined as T2T followed in ≥2 consecutive visits. The main outcome was the achievement of DAS44 remission at the subsequent 3-month visit. Other outcomes were remission according to 28-joint disease activity score-erythrocyte sedimentation rate (DAS28-ESR), Clinical Disease Activity Index (CDAI), Simplified Disease Activity Index (SDAI) and American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) Boolean definitions. The association between T2T and remission was tested in generalised estimating equations models.

RESULTS

In total 4356 visits of 571 patients (mean (SD) age: 56 (13) years, 78% female) were included. Appropriate application of T2T was found in 59% of the visits. T2T (vs no T2T) did not yield a higher likelihood of DAS44 remission 3 months later (OR (95% CI): 1.03 (0.92 to 1.16)), but sustained T2T resulted in an increased likelihood of achieving DAS44 remission (OR: 1.19 (1.03 to 1.39)). Similar results were seen with DAS28-ESR remission. For more stringent definitions (CDAI, SDAI and ACR/EULAR Boolean remission), T2T was consistently positively associated with remission (OR range: 1.16 to 1.29), and sustained T2T had a more pronounced effect on remission (OR range: 1.49 to 1.52).

CONCLUSION

In daily clinical practice, the correct application of a T2T-strategy (especially sustained T2T) in patients with RA leads to higher rates of remission.

Conversion of Functional Assessment of Chronic Illness Therapy-Fatigue to Patient-Reported Outcomes Measurement Information System Fatigue Scores in Two Phase III Baricitinib Rheumatoid Arthritis Trials

OBJECTIVE

The Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) is validated for measuring fatigue in rheumatoid arthritis (RA). However, 10 of 13 FACIT-F items are identified as relevant to patients with RA. The Patient-Reported Outcomes Measurement Information System (PROMIS) uses an item response theory-calibrated T score metric. The PROMIS Fatigue item bank includes the FACIT-F items, enabling score conversion. The performance of converted PROMIS Fatigue scores has not been evaluated in RA populations or clinical trials. Our objective was to assess the performance of converted PROMIS Fatigue scores in 2 RA clinical trials of baricitinib.

METHODS

Crosswalk tables and pattern-scoring methods converted FACIT-F scores to PROMIS Fatigue for both the 13-item FACIT-F and the 10-item RA-optimized FACIT-F instrument, in 2 RA clinical trials evaluating baricitinib, RA-BEAM, and RA-BEACON. RA-BEAM patients had an inadequate response to methotrexate. RA-BEACON patients had an inadequate response or intolerance to ≥1 tumor necrosis factor inhibitor. Baricitinib was compared to all treatment arms via analysis of covariance on PROMIS Fatigue score conversions.

RESULTS

Baseline FACIT-F-derived PROMIS Fatigue scores reflected severe fatigue across treatment groups and were similar using different scoring methods. At week 24 in both studies, baricitinib was associated with clinically meaningful improvements in PROMIS Fatigue scores. PROMIS Fatigue scores were consistent for conversion methods and for the 13-item or 10-item FACIT-F.

CONCLUSION

All 4 conversion methods showed differentiation of active treatment compared with placebo from week 12, supporting the use of the PROMIS Fatigue and converting the 10-item FACIT-F to assess fatigue and demonstrate treatment benefit in RA clinical trials on a standardized metric.

Responsiveness of Patient-Reported Outcomes Measurement Information System Measures in Rheumatoid Arthritis Patients Starting or Switching a Disease-Modifying Antirheumatic Drug

OBJECTIVE

The Patient-Reported Outcomes Measurement Information System (PROMIS) is a calibrated item bank used to assess patient-reported outcomes across multiple domains. The purpose of this study was to describe the performance of selected PROMIS measures in patients with rheumatoid arthritis (RA) with active disease who were initiating a disease-modifying antirheumatic drug (DMARD).

METHODS

Participants in an ongoing prospective observational study completed 8 PROMIS measures before and after DMARD initiation. Linear regression models were performed to identify cross-sectional associations between baseline PROMIS measures and disease activity, measured using the Clinical Disease Activity Index (CDAI). Paired t-tests were performed to evaluate responsiveness after 12 weeks of DMARD treatment. Associations between changes in PROMIS measures and changes in the CDAI score were assessed using linear regression.

RESULTS

Among the 156 participants who completed the first study visit, the mean ± SD baseline CDAI score was 25.5 ± 14.0. Baseline scores for PROMIS measures of physical health, pain, and sleep were associated with the baseline CDAI score (P ≤ 0.05). Among the 106 participants with 12-week data, all PROMIS scores improved after DMARD initiation (P ≤ 0.05). With the exception of depression, changes in all assessed PROMIS measures were correlated with changes in the CDAI score (standardized βs from |0.23| to |0.38|).

CONCLUSION

These data provide support for the utility of PROMIS measures for the assessment of physical and mental health in individuals with active RA. All PROMIS measures improved significantly after DMARD initiation, with the magnitudes of association between changes in PROMIS measures and changes in the CDAI score in the low-to-moderate range.