Urate-lowering therapy, serum urate, inflammatory biomarkers, and renal function in patients with gout following pegloticase discontinuation

BACKGROUND/PURPOSE

Little is known about long-term clinical outcomes or urate-lowering (ULT) therapy use following pegloticase discontinuation. We examined ULT use, serum urate (SU), inflammatory biomarkers, and renal function following pegloticase discontinuation.

METHODS

We conducted a retrospective analysis of gout patients who discontinued pegloticase using the Rheumatology Informatics System for Effectiveness (RISE) registry from 1/2016 to 6/2022. We defined discontinuation as a gap ≥ 12 weeks after last infusion. We examined outcomes beginning two weeks after last dose and identified ULT therapy following pegloticase discontinuation. We evaluated changes in lab values (SU, eGFR, CRP and ESR), comparing on- treatment (≤ 15 days of the second pegloticase dose) to post-treatment.

RESULTS

Of the 375 gout patients discontinuing pegloticase, median (IQR) laboratory changes following discontinuation were: SU: +2.4 mg/dL (0.0,6.3); eGFR: -1.9 mL/min (- 8.7,3.7); CRP: -0.8 mg/L (-12.8,0.0); and ESR: -4.0 mm/hr (-13.0,0.0). Therapy post-discontinuation included oral ULTs (86.0%), restarting pegloticase (4.5%), and no documentation of ULT (9.5%), excluding patients with multiple same-day prescriptions (n = 17). Oral ULTs following pegloticase were: 62.7% allopurinol, 34.1% febuxostat. The median (IQR) time to starting/restarting ULT was 92.0 days (55.0,173.0). Following ULT prescribing (≥ 30 days), only 51.0% of patients had SU < 6 mg/dL. Patients restarting pegloticase achieved a median SU of 0.9 mg/dL (IQR:0.2,9.7) and 58.3% had an SU < 6 mg/dL.

CONCLUSION

Pegloticase treats uncontrolled gout in patients with failed response to xanthine oxidase inhibitors, but among patients who discontinue, optimal treatment is unclear. Based on this analysis, only half of those starting another ULT achieved target SU. Close follow-up is needed to optimize outcomes after pegloticase discontinuation.

Wearable activity tracker study exploring rheumatoid arthritis patients' disease activity using patient-reported outcome measures, clinical measures, and biometric sensor data (the wear study)

Background

Digital health studies using electronic patient reported outcomes (ePROs), wearables, and clinical data to provide a more comprehensive picture of patient health.

Methods

Newly initiated patients on upadacitinib or adalimumab for RA will be recruited from community settings in the Excellence NEtwork in RheumatoloGY (ENRGY) practice-based research network. Over the period of three to six months, three streams of data will be collected (1) linkable physician-derived data; (2) self-reported daily and weekly ePROs through the ArthritisPower registry app; and (3) biometric sensor data passively collected via wearable. These data will be analyzed to evaluate correlations among the three types of data and patient improvement on the newly initiated medication.

Conclusions

Results from this study will provide valuable information regarding the relationships between physician data, wearable data, and ePROs in patients newly initiating an RA treatment, and demonstrate the feasibility of digital data capture for Remote Patient Monitoring of patients with rheumatic disease.

Using Electronic Health Records and Linked Claims Data to Assess New Medication Use and Primary Nonadherence in Rheumatology Patients

OBJECTIVE

The objective of this study was to determine the proportion of new medication prescriptions observed in electronic health records (EHR) that represent true incident medication use, accounting for undocumented previous prescriptions (prevalent medication use) and failure to initiate treatment (primary nonadherence) with linked administrative claims data as the reference standard.

METHODS

Using single-specialty rheumatology EHR data from more than 700 community practices in the United States linked to administrative claims data, we identified first (index) EHR prescriptions and assessed the positive predictive value (PPV) of different EHR-derived new user definitions to identify true incident use (no prior claims). We then assessed how often index EHR prescriptions that met a definition of new use resulted in primary nonadherence (no subsequent claims).

RESULTS

Overall, 12,405 index EHR prescriptions were identified with PPVs of 0.59 to 0.67 for true incident use. PPVs increased to 0.76 to 0.85 by excluding medications listed during the EHR medication reconciliation process and further increased to 0.87 to 0.93 by requiring ≥12 elapsed months since the first rheumatology office visit. Primary nonadherence at three months was observed in 33% to 38% overall and varied substantially by medication class, ranging from 15% to 23% for conventional synthetic disease-modifying antirheumatic drugs (DMARDs) to 54% to 64% for targeted synthetic DMARDs.

CONCLUSION

New DMARD use was accurately distinguished from prevalent use with EHR prescriptions and simple new user definitions that include current medications collected during medication reconciliation. Primary nonadherence was frequent and varied by DMARD class. This has important implications for epidemiologic studies using EHR data and for optimal delivery of clinical care.

Work Productivity and General Health Through 2 Years of Guselkumab Treatment in a Phase 3 Randomized Trial of Patients With Active Psoriatic Arthritis

INTRODUCTION

To evaluate the effect of guselkumab on work productivity and nonwork daily activity impairment and general health status through 2 years in patients who were biologic-naïve with active psoriatic arthritis (PsA) in the phase 3 DISCOVER-2 clinical trial.

METHODS

Adult patients with PsA were randomized to subcutaneous injections of guselkumab 100 mg every 4 weeks (Q4W); at weeks 0, 4, then every 8 weeks (Q8W); or placebo (through week 24 with crossover to guselkumab Q4W). Work productivity and nonwork daily activity impairment were assessed using the Work Productivity and Activity Impairment Questionnaire for PsA (WPAI-PsA) and patient-reported general health status using the EuroQol 5-Dimension 5-Level (EQ-5D-5L) Index and EQ-Visual Analog Scale (EQ-VAS). Least-squares (LS) mean changes from baseline in WPAI-PsA domains and EQ-5D-5L/EQ-VAS were assessed through week 100. Changes in employment status were utilized to estimate potential indirect savings from improved work productivity.

RESULTS

Of 739 randomized patients, 738 had available baseline data for the analyses (Q4W 245; Q8W 248; placebo 245). At week 24, greater improvements in work productivity, nonwork daily activity, and EQ-5D-5L/EQ-VAS were observed in the Q4W and Q8W groups versus the placebo group. At week 100, LS mean reductions in work productivity impairment (- 23.8% to - 28.0%) and nonwork daily activity impairment (- 26.6% to - 29.2%) and improvements in EQ-5D-5L/EQ-VAS (0.14 to 0.15/21.2 to 25.0) were maintained in patients receiving guselkumab. Among patients employed at baseline, 12.1-16.4% were not employed at week 100, and 20.0-25.3% shifted from not employed at baseline to employed at week 100. Potential yearly indirect cost savings (USD) from improved work productivity at week 100 ranged from $16,529 to $19,409.

CONCLUSION

Patients with active PsA treated with guselkumab demonstrated reduced impairment in work productivity and nonwork daily activity, together with improvement in general health status and substantial potential cost savings, over a 2-year period.

TRIAL REGISTRATION

Clinicaltrials.gov identifier: NCT03158285.

The Art of Communicating Risk and Benefit to Promote Shared Decision-Making, Informed by Behavioral Economic Principles

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Classifying Multimorbidity Using Drug Concepts via the Rx-Risk Comorbidity Index: Methods and Comparative Cross-Sectional Study

OBJECTIVE

The study objective was to update a method to identify comorbid conditions using only medication information in circumstances in which diagnosis codes may be undercaptured, such as in single-specialty electronic health records (EHRs), and to compare the distribution of comorbidities across Rx-Risk versus other traditional comorbidity indices.

METHODS

Using First Databank, RxNorm, and its web-based clients, RxNav and RxClass, we mapped Drug Concept Unique Identifiers (RxCUIs), National Drug Codes (NDCs), and Anatomical Therapeutic Chemical (ATC) codes to Rx-Risk, a medication-focused comorbidity index. In established rheumatoid arthritis (RA) and osteoarthritis (OA) cohorts within the Rheumatology Informatics System for Effectiveness registry, we then compared Rx-Risk with other comorbidity indices, including the Charlson Comorbidity Index, Rheumatic Disease Comorbidity Index (RDCI), and Elixhauser.

RESULTS

We identified 965 unique ingredient RxCUIs representing the 46 Rx-Risk comorbidity categories. After excluding dosage form and ingredient related RxCUIs, 80,911 unique associated RxCUIs were mapped to the index. Additionally, 187,024 unique NDCs and 354 ATC codes were obtained and mapped to the index categories. When compared to traditional comorbidity indices in the RA cohort, the median score for Rx-Risk (median 6.00 [25th percentile 2, 75th percentile 9]) was much greater than for Charlson (median 0 [25th percentile 0, 75th percentile 0]), RDCI (median 0 [25th percentile 0, 75th percentile 0]), and Elixhauser (median 1 [25th percentile 1, 75th percentile 1]). Analyses of the OA cohort yielded similar results. For patients with a Charlson score of 0 (85% of total), both the RDCI and Elixhauser were close to 1, but the Rx-Risk score ranged from 0 to 16 or more.

CONCLUSION

The misclassification and under-ascertainment of comorbidities in single-specialty EHRs can largely be overcome by using a medication-focused comorbidity index.

Lower body mass and lower adiposity are associated with differential responses to two treatment strategies for rheumatoid arthritis

PURPOSE

To determine if body mass index (BMI) and adipokine levels identify rheumatoid arthritis (RA) patients most likely to benefit from initiation of tumour necrosis factor inhibitors (TNFi) after methotrexate inadequate response.

METHODS

This is a secondary analysis of the Rheumatoid Arthritis Comparison of Active Treatments (RACAT) trial and the (TEAR) trial. Both studies compared treatment strategies starting with conventional disease-modifying anti-rheumatic drugs (DMARDs) (triple therapy) versus etanercept plus methotrexate. We compared response rates between TNFi and triple therapy among patients with different BMI. Adipokines were measured at enrolment and associations with treatment response were examined using regression, adjusting for age, sex, BMI and baseline disease activity.

RESULTS

In RACAT (n=306), participants who were normal/underweight were more likely to benefit from TNFi versus triple therapy, with greater change in Disease Activity Score in 28 and greater ACR20 response (ACR 20: 64% vs 23%, p=0.001). In contrast, overweight/obese participants had similar response to TNFi versus triple therapy (p-for-interaction=0.001). Similarly, but modest patterns were observed in TEAR (n=601; ACR20: 67% vs 52%, p=0.05). In RACAT, adipokine scores consistent with lower adiposity also predicted greater response to TNFi (ACR20: 58% vs 37%, p=0.01) with better model fit compared with BMI alone.

CONCLUSIONS

Lower BMI and evidence of lower adiposity based on adipokine profiles were associated with a superior response to TNFi compared with triple therapy. There was no difference between treatments among overweight/obese participants. The results support TNFi being a particularly important therapeutic among normal/underweight patients, with implications for clinical decisions and trial design.

Home-Based Telemedicine in Rheumatology-A Scoping Review

OBJECTIVE

We performed a scoping review of the relevant literature on home-based telehealth in rheumatology to understand its appropriate application in rheumatology practice.

METHODS

We searched the Cochrane Library, PubMed, Web of Science, and scientific meeting abstracts to identify articles that specifically addressed telehealth suitability, barriers to telehealth, patient-reported outcomes (PROs) collected in telehealth settings, and telehealth satisfaction. From the initial search of 4,882 studies, 23 reports were included. In addition, 10 abstracts were also eligible for analysis, resulting in a total of 33 articles: 2 randomized clinical trials, 9 prospective cohort studies, and 22 retrospective studies.

RESULTS

We found that triage appointments or predictive models could be helpful in selecting patients for telehealth and that telehealth interventions were appropriate for follow-up of patients with systemic lupus erythematosus and inflammatory arthritis, but that conducting new patient visits over telehealth was not ideal. Barriers to telehealth include patient factors (age, technology access) and need for physician/process factors (eg, physical examinations). PROs collected in regular practice can be incorporated into telehealth. Several small, single-center studies suggest that telehealth does not lead to negative outcomes compared with in-person visits, and overall, patients report high patient satisfaction with telehealth. In several scenarios, home-based telehealth was equivalent to in-person visits with regard to patient outcomes and satisfaction.

CONCLUSION

The widespread potential of telehealth to manage and deliver care for people with rheumatic disease is significant. As such, further research in the form of randomized controlled trials can help contribute to growing evidence that shapes telehealth implementation for patients with rheumatic diseases.

Prevalence and Factors Associated With Patient-Clinician Discordance Among Patients With Rheumatoid Arthritis Initiating Advanced Therapy

OBJECTIVE

To describe and identify associated factors for patient-clinician discordance of disease assessment at biologic or Janus kinase inhibitor (JAKi) initiation and over 12 months following initiation in patients with rheumatoid arthritis (RA) from a US RA registry.

METHODS

Analyses included CorEvitas RA Registry patients who initiated their first biologic or JAKi on or after February 1, 2015, and had 6- and 12-month follow-up visits. Positive discordance was defined as patient global assessment (visual analog scale [VAS-100]) minus physician's global assessment (VAS-100) equal to 30 points or more. Persistent discordance was defined as positive discordance at all three visits. Mixed-effects logistic regression was used to determine risk factors for positive discordance at initiation and for persistent discordance.

RESULTS

Among 2227 first-time biologic/JAKi-initiating patients, 613 had both follow-up visits available and were included in initiation visit analyses, and of these, 163 had positive discordance at initiation and were included in persistent discordance analyses. About 30% of all patients had positive discordance at any visit, and one third of these (10% total) were persistent at all three visits. Multivariable analyses revealed that worse scores on the Clinical Disease Activity Index, greater patient-reported pain and fatigue, and greater functional impairment were associated with positive discordance at the time of therapy initiation. Being disabled versus working full-time and being female were associated with higher odds and having Medicare versus no insurance was associated with lower odds of having persistent positive discordance.

CONCLUSION

Results suggest positive discordance is common among real-world patients with RA initiating their first biologic or JAKi. The identified risk factors associated with patient-clinician discordance will help clinicians foster a more patient-centric discussion in treatment decisions.

Changes in the Workforce Characteristics of Providers Who Care for Adult Patients With Rheumatologic and Musculoskeletal Disease in the United States

OBJECTIVE

The aim of this study was to describe the adult rheumatology workforce in the United States, assess change in rheumatology providers over time, and identify variation in rheumatology practice characteristics.

METHODS

Using national Medicare claims data from 2006 to 2020, clinically active rheumatology physicians and advanced practice providers (APPs) were identified. Each calendar year was used for inclusion, exclusion, and analysis, and providers were determined to be entering, exiting, or stable based upon presence or absence in the prior or subsequent years of data. Characteristics (age, gender, practice type, rural, and region) of rheumatologists were determined for 2019 and in mutually exclusive study periods from 2009 to 2011, 2012 to 2015, and 2016 to 2019. The location of rheumatology practice was determined by billing tax identification and mapped. Demographics of physicians exiting or entering the rheumatology workforce were compared separately to those stable by logistic regression.

RESULTS

The clinically active adult rheumatology workforce identified in US Medicare in 2019 was 5,667 rheumatologists and 379 APPs. From 2009 to 2020, the number of rheumatologists increased 23% and the number of APPs increased 141%. There was an increase in female rheumatologists over time, rising to 43% in 2019. Women and those employed by a health care system were more likely to exit, and those in a small practice or in the South were less likely to exit.

CONCLUSION

The overall number of clinically active rheumatology providers grew more than 20% over the last decade to a high of 6,036 in 2020, although this rate of growth appears to be flattening off in later years.

Filgotinib Demonstrates Efficacy in Rheumatoid Arthritis Independent of Smoking Status: Post Hoc Analysis of Phase 3 Trials and Claims-Based Analysis

OBJECTIVES

To assess cigarette smoking's effects on efficacy of the preferential Janus kinase (JAK) 1 inhibitor filgotinib and drug persistence in patients with rheumatoid arthritis (RA).

METHODS

Efficacy in non-smokers, former smokers, and current smokers from phase 3 filgotinib trials was analyzed, including patients with inadequate response (IR) to methotrexate (MTX) or biologic disease-modifying antirheumatic drugs (bDMARDs) or who were MTX-naïve. Proportions achieving Disease Activity Score in 28 joints with C-reactive protein (DAS28[CRP]) ≤ 3.2 were compared using logistic regression. Retrospective claims-based switching data were reviewed.

RESULTS

Week 12 (W12) DAS28(CRP) ≤ 3.2 was achieved by 50, 61, and 62% of MTX-IR non-smokers, former smokers, and current smokers taking filgotinib 200 mg (FIL200) + MTX vs. 23, 16, and 32% taking placebo + MTX (p < 0.001, < 0.001, and 0.001) and 50, 34, and 33% taking adalimumab + MTX (p = 0.97, 0.013, and 0.006 vs. FIL200 + MTX). W12 DAS28(CRP) ≤ 3.2 was achieved by 46, 48, and 32% of bDMARD-IR non-smokers, former smokers, and current smokers taking FIL200 + conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) vs. 16, 23, and 5% taking placebo + csDMARD (p < 0.001, 0.077, and 0.051); 57, 58, and 59% of respective MTX-naïve smoking groups achieved W12 DAS28(CRP) ≤ 3.2 with FIL200 + MTX vs. 28, 37, and 18% with MTX (p < 0.001, 0.026, and < 0.001). Claims data showed former/current smokers were likelier than non-smokers to switch from adalimumab to other biologics or JAK inhibitors.

CONCLUSIONS

Greater proportions of MTX-IR current/former smokers responded to FIL200 + MTX vs. adalimumab + MTX. In non-smoking MTX-IR, bDMARD-IR, and MTX-naïve patients with RA, FIL200 + MTX demonstrated increased response vs. controls. Current/former smokers were likelier to discontinue adalimumab vs. non-smokers in real-world clinical settings.

TRIAL REGISTRATION

NCT02889796, NCT02873936, NCT02886728.

Development of an Interactive Tool to Support Shared Decision-Making in Rheumatoid Arthritis: Treatment Attribute Preference

OBJECTIVE

An interactive tool identifying treatment attributes important to patients can enhance shared decision-making (SDM) in rheumatoid arthritis (RA). A formative survey was conducted to identify the most important treatment attributes from patients' perspective, which can be used to develop an interactive SDM tool.

METHODS

The survey was performed in two phases: qualitative interviews and quantitative surveys. The qualitative interviews were conducted to inform the design of the quantitative survey. In qualitative interviews, patients with RA (n = 10) and rheumatologists (n = 10) were introduced to the SDM tool concept. Feedback on the design and scope of the SDM tool was used to develop a quantitative survey, conducted in a large sample size of patients. Patient preferences for treatment attributes (route of administration and dosing frequency, serious side effects, out-of-pocket costs, efficacy, and monitoring requirement) were assessed via adaptive conjoint exercise involving ranking of hypothetical RA treatment configurations.

RESULTS

A total of 944 patients (males: 43%, females: 57%) with RA participated in the quantitative survey. Route of administration and dosing frequency (38%) followed by serious side effects (33%) were the two most important treatment attributes for individual patients. The recontact survey (n = 172/944) estimated tool stability of 72% (n = 124/172) in terms of the relative importance of treatment attributes.

CONCLUSION

The findings of this survey could be used in the development of an SDM tool that can potentially provide insights into patient preferences and is generally well received by patients and rheumatologists with good agreement and reliability.

Treatment of Polymyalgia Rheumatica by Rheumatology Providers: Analysis from the American College of Rheumatology RISE Registry

OBJECTIVE

This study describes the demographics, comorbidities, and treatment patterns in a national cohort of patients with polymyalgia rheumatica (PMR) who received care from rheumatology providers.

METHODS

Patients with PMR were identified in the American College of Rheumatology Rheumatology Informatics System for Effectiveness registry from 2016 to 2022. Use of glucocorticoids and immunomodulatory antirheumatic medications used as steroid-sparing agents were examined overall and in a subgroup of patients new to rheumatology practices, the majority with presumed new-onset PMR. In these new patients, multivariate logistic regressions were performed to identify factors associated with persistent glucocorticoid and steroid-sparing agent use at 12 to 24 months.

RESULTS

A total of 26,102 patients with PMR were identified, of which 16,703 new patients were included in the main analysis. Patients were predominantly female (55.8%) and White (46.7%), with a mean age of 72.0 years. Hypertension (81.2%), congestive heart failure (52.4%), hyperlipidemia (41.3%), and ischemic heart disease (36.0%) were the most prevalent comorbidities. At baseline, 92.3% of patients were on glucocorticoids, and only 13.1% were on a steroid-sparing agent. At 12 to 24 months, most patients remained on glucocorticoids (63.8%). Although there was an increase in use through follow-up, antirheumatic medications were prescribed only to a minority (39.0%) of patients with PMR.

CONCLUSION

In this large US-based study of patients with PMR receiving rheumatology care, only a minority of patients were prescribed steroid-sparing agents during the first 24 months of follow-up; most patients remained on glucocorticoids past one year. Further identification of patients who would benefit from steroid-sparing agents and the timing of steroid-sparing agent initiation is needed.

Decision Impact Analysis to Measure the Influence of Molecular Signature Response Classifier Testing on Treatment Selection in Rheumatoid Arthritis

INTRODUCTION

Clinical guidelines offer little guidance for treatment selection following inadequate response to conventional synthetic disease-modifying antirheumatic drug (csDMARD) in rheumatoid arthritis (RA). A molecular signature response classifier (MSRC) was validated to predict tumor necrosis factor inhibitor (TNFi) inadequate response. The decision impact of MSRC results on biologic and targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD) selection was evaluated.

METHODS

This is an analysis of AIMS, a longitudinal, prospective database of patients with RA tested using the MSRC. This study assessed selection of b/tsDMARDs class after MSRC testing by surveying physicians, the rate of b/tsDMARD prescriptions aligning with MSRC results, and the percentage of physicians utilizing MSRC results for decision-making.

RESULTS

Of 1018 participants, 70.7% (720/1018) had treatment selected after receiving MSRC results. In this MSRC-informed cohort, 75.6% (544/720) of patients received a b/tsDMARD aligned with MSRC results, and 84.6% (609/720) of providers reported using MSRC results to guide treatment selection. The most prevalent reason reported (8.2%, 59/720) for not aligning treatment selection with MSRC results from the total cohort was health insurance coverage issues.

CONCLUSION

This study showed that rheumatologists reported using the MSRC test to guide b/tsDMARD selection for patients with RA. In most cases, MSRC test results appeared to influence clinical decision-making according to physician self-report. Wider adoption of precision medicine tools like the MSRC could support rheumatologists and patients in working together to achieve optimal outcomes for RA.

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.

Malignancy in the Upadacitinib Clinical Trials for Rheumatoid Arthritis, Psoriatic Arthritis, Ankylosing Spondylitis, and Non-radiographic Axial Spondyloarthritis

INTRODUCTION

This article aims to describe malignancies in patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), or non-radiographic axial spondyloarthritis (nr-axSpA) treated with upadacitinib (UPA) or active comparators.

METHODS

This integrated safety analysis includes data from 11 phase 3 UPA trials across RA (6 trials), PsA (2 trials), AS (2 trials; one phase 2b/3), and nr-axSpA (1 trial). Treatment-emergent adverse events (TEAEs) were summarized for RA (pooled UPA 15 mg [UPA15], pooled UPA 30 mg [UPA30], adalimumab 40 mg [ADA], methotrexate monotherapy [MTX]), PsA (pooled UPA15, pooled UPA30, ADA), AS (pooled UPA15), and nr-axSpA (UPA15). TEAEs were reported as exposure-adjusted event rates (events/100 patient-years).

RESULTS

Median treatment duration ranged from 1.0 to 4.0 years (with a maximum of 6.6 years in RA). Across treatments and indications, rates of malignancy excluding nonmelanoma skin cancer (NMSC) ranged from 0.2 to 1.1, while NMSC ranged from 0.0 to 1.4. In RA, rates of malignancy excluding NMSC were generally similar between UPA15, UPA30, ADA, and MTX (breast and lung cancer were the most common). In RA and PsA, Kaplan-Meier analyses revealed no differences in event onset of malignancy excluding NMSC with UPA15 versus UPA30 over time. In RA, NMSC rates were higher with UPA30 than UPA15; both UPA15 and UPA30 were higher than ADA and MTX. In PsA, rates of malignancy excluding NMSC and NMSC were generally similar between UPA15, UPA30, and ADA. In AS and nr-axSpA, malignancies were reported infrequently. Few events of lymphoma were reported across the clinical programs.

CONCLUSION

Rates of malignancy excluding NMSC were generally similar between UPA15, UPA30, ADA, and MTX and were consistent across RA, PsA, AS, and nr-axSpA. A dose-dependent increased rate of NMSC was observed with UPA in RA.

TRIAL REGISTRATION

ClinicaTrials.gov identifier: NCT02706873, NCT02675426, NCT02629159, NCT02706951, NCT02706847, NCT03086343, NCT03104400, NCT03104374, NCT03178487, and NCT04169373.

COVID-19 Vaccine Uptake, Hesitancy, and Flare in a Large Rheumatology Practice Network

OBJECTIVE

The goal of this study was to ascertain COVID-19 vaccine uptake, reasons for hesitancy, and self-reported flare in a large rheumatology practice-based network.

METHODS

A tablet-based survey was deployed by 108 rheumatology practices from December 2021 to December 2022. Patients were asked about COVID-19 vaccine status and why they might not receive a vaccine or booster. We used descriptive statistics to explore the differences between vaccination status and vaccine and booster hesitancy, comparing patients with and without autoimmune and inflammatory rheumatic diseases (AIIRDs). We used multivariable logistic regression to examine the association between vaccine uptake and AIIRD status and self-reported flare and AIIRD status. We reported adjusted odds ratios (aORs).

RESULTS

Of the 61,158 patients, 89% reported at least one dose of vaccine; of the vaccinated, 68% reported at least one booster. Vaccinated patients were less likely to have AIIRDs (44% vs 56%). A greater proportion of patients with AIIRDs were vaccine hesitant (14% vs 10%) and booster hesitant (21% vs 16%) compared to patients without AIIRDs. Safety concerns (28%) and side effects (23%) were the main reasons for vaccine hesitancy, whereas a lack of recommendation from the physician was the primary factor for booster hesitancy (23%). Patients with AIIRD did not have increased odds of self-reported flare or worsening disease compared to patients without with AIIRD (aOR 0.99, 95% confidence interval [CI] 0.94-1.05). Among the patients who were vaccine hesitant and booster hesitant, 12% and 39% later reported receiving a respective dose. Patients with AIIRD were 32% less likely to receive a vaccine (aOR 0.68, 95% CI 0.65-0.72) versus patients without AIIRD.

CONCLUSION

Some patients who are vaccine and booster hesitant eventually receive a vaccine dose, and future interventions tailored to patients with AIIRD may be fruitful.

Extracting forced vital capacity from the electronic health record through natural language processing in rheumatoid arthritis-associated interstitial lung disease

PURPOSE

To develop a natural language processing (NLP) tool to extract forced vital capacity (FVC) values from electronic health record (EHR) notes in patients with rheumatoid arthritis-interstitial lung disease (RA-ILD).

METHODS

We selected RA-ILD patients (n = 7485) in the Veterans Health Administration (VA) between 2000 and 2020 using validated ICD-9/10 codes. We identified numeric values in proximity to FVC string patterns from clinical notes in the EHR. Subsequently, we performed processing steps to account for variability in note structure, related pulmonary function test (PFT) output, and values copied across notes, then assigned dates from linked administrative procedure records. NLP-derived FVC values were compared to values recorded directly from PFT equipment available on a subset of patients.

RESULTS

We identified 5911 FVC values (n = 1844 patients) from PFT equipment and 15 383 values (n = 4982 patients) by NLP. Among 2610 date-matched FVC values from NLP and PFT equipment, 95.8% of values were within 5% predicted. The mean (SD) difference was 0.09% (5.9), and values strongly correlated (r = 0.94, p < 0.001), with a precision of 0.87 (95% CI 0.86, 0.88). NLP captured more patients with longitudinal FVC values (n = 3069 vs. n = 1164). Mean (SD) change in FVC %-predicted per year was similar between sources (-1.5 [30.0] NLP vs. -0.9 [16.6] PFT equipment; standardized response mean = 0.05 for both).

CONCLUSIONS

NLP of EHR notes increases the capture of accurate, longitudinal FVC values by three-fold over PFT equipment. Use of this NLP tool can facilitate pharmacoepidemiologic research in RA-ILD and other lung diseases by capturing this critical measure of disease severity.

The interruption of romosozumab treatment during COVID lockdown among US post-menopausal women enrolled in Medicare

PURPOSE

To evaluate the impact of the COVID lock-down on treatment interruptions of romosozumab, a first in class biologic therapy, administered by healthcare providers once monthly.

METHODS

We used Medicare data from 1/1/2017 to 9/30/2021 to identify women age ≥65 initiating romosozumab between 4/1/2019 and 6/30/2021. Patient demographics, provider specialty, and baseline comorbidities were identified. Romosozumab dispensations were grouped into five 6-month periods based on the dispensing date from FDA licensure to the end of the data (Period 1 to 5). "Treatment interruption" was defined as any interval gap between 2 dispensations >60 days. The numbers of treatment interruption event were aggregated per period per patient. Mixed effect Poisson regression with patient-level random effects was performed, including an interaction term between Period and number of prior doses.

RESULTS

There were 12,216 romosozumab new users identified. A total of 2724 treatment interruption events were identified among 2229 romosozumab users. After adjustment, comparing with the period immediately before the lockdown (Period 2: 2019-10-1-2020-3-30), the IRRs (95 % CI) for treatment interruption were 0.49 (0.29, 0.81), 1.65 (1.48, 1.85), 1.79 (1.60, 2.01), and 1.67 (1.49, 1.87) for periods 1, 3, 4, and 5, respectively, per 1 prior dose change (p < 0.01 for all IRRs), where Periods 3, 4, and 5 were post-lockdown.

CONCLUSION

Compared to the pre-COVID period, the lockdown negatively impacted the continuity of romosozumab treatment among Medicare beneficiaries. Prioritizing in-time assistance for patients receiving a provider-administered parenteral therapy is critical when patients' in-person access to their provider is compromised.

Determining patient preferences for the medical management of osteoporosis using conjoint analysis

We used conjoint analysis-a method that assesses complex decision making-to quantify patients' choices when selecting an osteoporosis therapy. While 60% of people prioritized medication efficacy when deciding among treatments, the remaining 40% highly valued factors other than efficacy, suggesting the need for personalized shared decision-making tools.

INTRODUCTION

In this study, we aimed to examine patient decision-making surrounding osteoporosis medications using conjoint analysis.

METHODS

We enrolled osteoporosis patients at an academic medical center to complete an online conjoint exercise which calculated each patient's relative importance score of 6 osteoporosis medication attributes (higher = greater relative importance in decision-making). We used latent class analysis to identify distinct segments of patients with similar choice patterns and then used logistic regression to determine if demographics and osteoporosis disease features were associated with latent class assignment.

RESULTS

Overall, 304 participants completed the survey. The rank order of medication attributes by importance score was the following: efficacy at preventing hip fractures (accounted for 31.0% of decision making), mode of administration (17.5%); risk of serious side effects (16.6%); dose frequency (13.9%); efficacy at preventing spine fractures (12.5%); risk of non-serious side effects (8.4%). We found that 60.9% of the cohort prioritized medication efficacy as their top factor when selecting among the therapies. Being a college graduate, having stronger beliefs on the necessity of using medications for osteoporosis, and never having used osteoporosis medicines were the only factors associated with prioritizing medication efficacy for fracture prevention over the other factors in the decision-making process.

CONCLUSIONS

While about 60% of patients prioritized efficacy when selecting an osteoporosis therapy, the remaining 40% valued other factors more highly. Furthermore, individual patient characteristics and clinical factors did not reliably predict patient decision making, suggesting that development and implementation of shared decision-making tools is warranted.

Estimating the economic burden of osteoporotic fractures in a multinational study: a real-world data perspective

Fracture-related costs vary by country. A standardized methodology and presentations were proposed to fairly assess the economic burden of osteoporotic fracture. Results indicated substantial costs of osteoporotic fractures for pharmacy, hospitalization, emergency care, and outpatient visits in women aged ≥ 50 years in Australia, Germany, South Korea, Spain, and the USA.

PURPOSE

The objective of this multinational, retrospective matched cohort study was to use a standardized methodology across different healthcare systems to estimate the burden of osteoporotic fracture (OF) in women aged ≥ 50 years in Australia, Germany, South Korea, Spain, and the USA.

METHODS

Within each country, healthcare resource utilization and direct costs of care were compared between patients with newly identified OF and a propensity score-matched cohort without OF during follow-up periods of up to 5 years.

RESULTS

Across all five countries, the OF cohort had significantly higher rates and length of inpatient admissions compared with the non-OF cohort. In each country, the adjusted total costs of care ratio between OF and non-OF cohorts were significant. The adjusted cost ratios for pharmacy, inpatient care, emergency care, and outpatient visits were similarly higher in the OF cohort across countries.

CONCLUSION

The current study demonstrates the substantial economic burden of OF across different countries when compared with matched non-OF patients. The findings would assist stakeholders and policymakers in developing appropriate health policies.

Participant Engagement and Adherence to Providing Smartwatch and Patient-Reported Outcome Data: Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Real-World Study

BACKGROUND

Digital health studies using electronic patient-reported outcomes (ePROs) and wearables bring new challenges, including the need for participants to consistently provide trial data.

OBJECTIVE

This study aims to characterize the engagement, protocol adherence, and data completeness among participants with rheumatoid arthritis enrolled in the Digital Tracking of Arthritis Longitudinally (DIGITAL) study.

METHODS

Participants were invited to participate in this app-based study, which included a 14-day run-in and an 84-day main study. In the run-in period, data were collected via the ArthritisPower mobile app to increase app familiarity and identify the individuals who were motivated to participate. Successful completers of the run-in period were mailed a wearable smartwatch, and automated and manual prompts were sent to participants, reminding them to complete app input or regularly wear and synchronize devices, respectively, during the main study. Study coordinators monitored participant data and contacted participants via email, SMS text messaging, and phone to resolve adherence issues per a priori rules, in which consecutive spans of missing data triggered participant contact. Adherence to data collection during the main study period was defined as providing requested data for >70% of 84 days (daily ePRO, ≥80% daily smartwatch data) or at least 9 of 12 weeks (weekly ePRO).

RESULTS

Of the 470 participants expressing initial interest, 278 (59.1%) completed the run-in period and qualified for the main study. Over the 12-week main study period, 87.4% (243/278) of participants met the definition of adherence to protocol-specified data collection for weekly ePRO, and 57.2% (159/278) did so for daily ePRO. For smartwatch data, 81.7% (227/278) of the participants adhered to the protocol-specified data collection. In total, 52.9% (147/278) of the participants met composite adherence.

CONCLUSIONS

Compared with other digital health rheumatoid arthritis studies, a short run-in period appears useful for identifying participants likely to engage in a study that collects data via a mobile app and wearables and gives participants time to acclimate to study requirements. Automated or manual prompts (ie, "It's time to sync your smartwatch") may be necessary to optimize adherence. Adherence varies by data collection type (eg, ePRO vs smartwatch data).

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/14665.

Identifying inpatient mortality in MarketScan claims data using machine learning

PURPOSE

Inpatient mortality is an important variable in epidemiology studies using claims data. In 2016, MarketScan data began obscuring specific hospital discharge status types for patient privacy, including inpatient deaths, by setting the values to missing. We used a machine learning approach to correctly identify hospitalizations that resulted in inpatient death using data prior to 2016.

METHODS

All hospitalizations from 2011 to 2015 with discharge status of missing, died, or one of the other subsequently obscured values were identified and divided into a training set and two test sets. Predictor variables included age, sex, elapsed time from hospital discharge until last observed claim and until healthcare plan disenrollment, and absence of any discharge diagnoses. Four machine learning methods were used to train statistical models and assess sensitivity and positive predictive value (PPV) for inpatient mortality.

RESULTS

Overall 1 307 917 hospitalizations were included. All four machine learning approaches performed well in all datasets. Random forest performed best with 88% PPV and 93% sensitivity for the training set and both test sets. The two factors with the highest relative importance for identifying inpatient mortality were having no observed claims for the patient on days 2-91 following hospital discharge and patient disenrollment from the healthcare plan within 60 days following hospital discharge.

CONCLUSION

We successfully developed machine learning algorithms to identify inpatient mortality. This approach can be applied to obscured data to accurately identify inpatient mortality among hospitalizations with missing discharge status.

Racial and Ethnic Distribution of Rheumatic Diseases in Health Systems of the National Patient-Centered Clinical Research Network

OBJECTIVE

To evaluate the relative prevalence of 8 rheumatic and musculoskeletal diseases (RMDs) across racial and ethnic groups within the National Patient-Centered Clinical Research Network (PCORnet).

METHODS

Electronic health records from participating PCORnet institutions and systems from January 1, 2013, to December 31, 2018, were used to identify adult patients with ≥ 2 diagnosis codes for rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), osteoporosis (OP), granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA), eosinophilic granulomatosis with polyangiitis (EGPA), giant cell arteritis (GCA), and Takayasu arteritis (TAK). Among those with race and ethnicity data available, we compared prevalence of RMDs by race and ethnicity.

RESULTS

Data from 28,059,546 patients were available for analysis. RA was more common in patients who were American Indian or Alaska Native vs White, with a prevalence of 11.57 vs 10.11/1000 (odds ratio [OR] 1.15, 95% CI 1.09-1.22). SLE was more common in patients who were Black or African American (6.73/1000), American Indian or Alaska Native (3.82/1000), and Asian (3.39/1000) vs White (2.80/1000; OR 2.43, 95% CI 2.39-2.46; OR 1.39, 95% CI 1.25-1.53; OR 1.26, 95% CI 1.21-1.31, respectively). SLE was more common in patients who were Hispanic vs non-Hispanic (prevalence 3.93 vs 3.45/1000, OR 1.14, 95% CI 1.12-1.16). TAK was more common in patients who were Asian vs White (prevalence 0.05 vs 0.04/1000, OR 1.43, 95% CI 1.00-2.03). OP, RA, and the vasculitides were all more common in patients who were White vs Black or African American.

CONCLUSION

These data provide important information on the prevalence of RMDs by race and ethnicity in the United States. PCORnet can be used as a reliable data source to study RMDs within a large representative population.

Accuracy of administrative claims prescription fill data to estimate glucocorticoid use and dose in patients with rheumatoid arthritis

PURPOSE

To assess accuracy of administrative claims prescription fill-based estimates of glucocorticoid use and dose, and approximate bias from glucocorticoid exposure misclassification.

METHODS

We identified adults with rheumatoid arthritis with linked Medicare and CorEvitas registry data. An algorithm identifying glucocorticoid use and average dose over 90 days from Medicare prescription fills was compared to physician-reported measures from a CorEvitas visit during the same period, using weighted kappa to compare doses (none, ≤5 mg, 5-10 mg, >10 mg/day). A deterministic sensitivity analysis examined the effect of exposure misclassification on estimated glucocorticoid-associated infection risk from a prior study.

RESULTS

We identified 621 observations among 494 patients. Prescription fills identified glucocorticoid use in 41.9% of observations versus 31.1% identified by CorEvitas physician-report. For glucocorticoid use (yes/no), prescription fills had sensitivity 88.1% (95% CI 82.7-92.3), specificity 79.0% (74.8-82.7), PPV 65.4% (59.3-71.2), NPV 93.6% (90.6-95.9), and 81.8% agreement with CorEvitas, with kappa 0.61 (moderate to substantial agreement). There was 89.5% agreement between prescription fills and physician-reported doses, with weighted kappa 0.56 (moderate agreement). Applying these results to a prior Medicare study evaluating glucocorticoid-associated infection risk [risk ratio 1.44 (95% CI 1.41-1.48)] led to an externally adjusted risk ratio of 1.74 when accounting for exposure misclassification, representing -17% bias in infection risk estimate.

CONCLUSIONS

This study supports the use of claims data to estimate glucocorticoid use and dose, but investigators should account for exposure misclassification, which may lead to underestimates of glucocorticoid risks. Our results could be applied to adjust risk estimates in other studies that use prescription fills to estimate glucocorticoid use.

Risk-Benefit Analysis of Primary Prophylaxis Against Pneumocystis Jirovecii Pneumonia in Patients With Rheumatic Diseases Receiving Rituximab

OBJECTIVE

To identify a specific population of patients with rheumatic diseases receiving rituximab treatment for whom the benefit from primary prophylaxis against Pneumocystis jirovecii pneumonia (PJP) outweighs the risk of adverse events (AEs).

METHODS

This study included 818 patients treated with rituximab for rheumatic diseases, among whom 419 received prophylactic trimethoprim/sulfamethoxazole (TMP/SMX) with rituximab, while the remainder did not. Differences in 1-year PJP incidence between the groups were estimated using Cox proportional hazards regression. Risk-benefit assessment was performed in subgroups stratified according to risk factors based on the number needed to treat (NNT) to prevent 1 case of PJP and the number needed to harm (NNH) due to severe AEs. Inverse probability of treatment weighting was applied to minimize the confounding by indication.

RESULTS

During the 663.1 person-years, there were 11 PJP cases, with a mortality rate of 63.6%. Concomitant use of high-dose glucocorticoids (≥30 mg/day of prednisone or equivalent during 4 weeks after rituximab administration) was the most important risk factor. The PJP incidence (per 100 person-years) was 7.93 (95% confidence interval [95% CI] 2.91-17.25) in the subgroup receiving high-dose glucocorticoids compared with 0.40 (95% CI 0.01-2.25) in the subgroup without high-dose glucocorticoid use. Although prophylactic TMP/SMX significantly reduced the overall PJP incidence (HR 0.11 [95% CI 0.03-0.43]), the NNT to prevent 1 case of PJP (146) was higher than the NNH (86). In contrast, the NNT fell to 20 (95% CI 10.7-65.7) in patients receiving concomitant high-dose glucocorticoids.

CONCLUSION

The benefit associated with primary PJP prophylaxis outweighs the risk of severe AEs in patients with rheumatic diseases receiving rituximab and concomitant high-dose glucocorticoid treatment.

MACE and VTE across upadacitinib clinical trial programmes in rheumatoid arthritis, psoriatic arthritis and ankylosing spondylitis

OBJECTIVES

To provide an integrated analysis of major adverse cardiovascular events (MACEs) and events of venous thromboembolism (VTE) and associated risk factors across rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS) phase 2b/3 upadacitinib clinical programmes.

METHODS

Data were analysed and summarised from clinical trials of RA, PsA and AS treated with upadacitinib 15 mg once daily (QD) and 30 mg QD (as of 30 June 2021). Data from adalimumab (RA and PsA) and methotrexate (RA) arms were included as comparators. Adjudicated MACEs and VTE events were presented as exposure-adjusted rates per 100 patient-years (E/100 PY). Univariable Cox proportional hazard regression analyses assessed potential associations of risk factors for MACE and VTE.

RESULTS

In total, 4298 patients received upadacitinib 15 mg (RA n=3209, PsA n=907 and AS n=182) and 2125 patients received upadacitinib 30 mg (RA n=1204 and PsA n=921). In patients with RA and PsA, rates of MACE (0.3-0.6 E/100 PY) and VTE (0.2-0.4 E/100 PY) were similar across upadacitinib doses; in patients with AS, no MACEs and one VTE event occurred. Most patients experiencing MACEs or VTE events had two or more baseline cardiovascular risk factors. Across RA and PsA groups, rates of MACEs and VTE events were similar.

CONCLUSIONS

Rates of MACEs and VTE events with upadacitinib were consistent with previously reported data for patients receiving conventional synthetic and biologic disease-modifying anti-rheumatic drugs and comparable with active comparators adalimumab and methotrexate. Associated patient characteristics are known risk factors for MACEs and VTE events.

TRIAL REGISTRATION NUMBERS

RA (SELECT-NEXT: NCT02675426; SELECT-MONOTHERAPY: NCT02706951; SELECT-BEYOND: NCT02706847; SELECT-COMPARE: NCT02629159; SELECT-EARLY: NCT02706873, SELECT-CHOICE: NCT03086343), PsA (SELECT-PsA 2: NCT03104374; SELECT-PsA 1: NCT03104400), and AS (SELECT-AXIS 1: NCT03178487).

Extending the vision of adaptive point-of-care platform trials to improve targeted use of drug therapy regimens: An agile approach in the learning healthcare system toolkit

OBJECTIVES

Improving the targeted use of drug regimens requires robust real-world evidence (RWE) to address the uncertainties that remain regarding their real-world performance following market entry. However, challenges in the current state of RWE production limit its impact on clinical decisions, as well as its operational scalability and sustainability. We propose an adaptive point-of-care (APoC) platform trial as an approach to RWE production that improves both clinical and operational efficiencies.

METHODS AND FINDINGS

We explored design innovations, operational challenges, and infrastructure needs within a multi-stakeholder consortium to evaluate the potential of an APoC platform trial for studying chronic disease treatment regimens using rheumatoid arthritis as a case study. The concept integrates elements from adaptive clinical trials (dynamic treatment regimen strategies) and point-of-care trials (research embedded into routine clinical care) under a perpetual platform infrastructure. The necessary components to implement an APoC platform trial within outpatient settings exist, and present an opportunity for a cross-disciplinary, multi-stakeholder approach. Effective engagement of key stakeholders involved in and impacted by the platform is critical to success. Our collaborative design process identified three high-impact stakeholder-engagement areas: (1) focus on research question(s), (2) design and implementation planning such that it is feasible and fit-for-purpose, and (3) measurement, or meaningful metrics for both clinical (patient outcomes) and system (operational efficiencies) impact.

CONCLUSIONS

An APoC platform trial for rheumatoid arthritis integrating innovative design elements in a scalable infrastructure has the potential to reduce important uncertainties about the real-world performance of biomedical innovations and improve clinical decisions.

Understanding Heterogeneity in Patients' Conceptualisation of Treatment for Rheumatoid Arthritis: A Cluster Analysis

OBJECTIVE

Uptake of treat-to-target (TTT) strategies for rheumatoid arthritis (RA) management is low. Our objective was to understand the heterogeneity in patients' conceptualisation of RA treatment to inform interventions improving TTT uptake.

DESIGN

Eligible participants recruited from an online research registry rated 56 items (on 5-point scales) reflecting concepts raised from patient interviews. Using items describing adhering to physician recommendations to create a binary criterion variable for medication adherence, we conducted a principal components analysis on the remaining items using Varimax rotation, describing how these factors predict adherence over and above demographic characteristics. We further use optimal sets in regression to identify the individual concepts that are most predictive of medication adherence.

RESULTS

We found significant heterogeneity in patients' conceptualisation of RA treatment among 621 persons with RA. A scree plot revealed a four-factor solution explained 38.4% of the variance. The four factors expected to facilitate TTT uptake were (% variance explained): (1) Access to high quality care and support (11.3%); (2) low decisional conflict related to changing disease-modifying antirheumatic drugs (DMARDs) (10.1%); (3) endorsement of a favourable DMARD risk/benefit ratio (9.9%); and (4) confidence that testing reflects disease activity (7.2%). These factors account for 13.8% of the variance in full medication adherence, fully explaining the only significant demographic predictor, age of the patient. The individual items most predictive of poor adherence centre on the lack of effective patient-physician communication, specifically insufficient access to information from rheumatologists, along with the need to seek information elsewhere.

CONCLUSION

Patients' conceptualisation of RA treatment varies; however, almost all patients have difficulty escalating DMARDs, even with access to quality information and an understanding of the benefits of TTT. Tailored interventions are needed to address patient hesitancy to escalate DMARDs.

Factors Associated With Maintenance of Remission Following Change From Combination Therapy to Monotherapy in Patients With Rheumatoid Arthritis

OBJECTIVE

Some patients with rheumatoid arthritis (RA) who persist in remission may decide to stop their therapy. We evaluated baseline characteristics associated with remaining in remission or low disease activity (LDA) following medication withdrawal.

METHODS

The Study of Etanercept and Methotrexate in Combination or as Monotherapy in Subjects With Rheumatoid Arthritis (SEAM-RA) was a phase III, multicenter, randomized withdrawal, double-blind, controlled study in patients with RA on methotrexate (MTX) + etanercept (ETN). If remission (Simplified Disease Activity Index [SDAI] ≤ 3.3) was sustained through a 24-week run-in period, patients then entered a 48-week double-blind period and were randomized 2:2:1 to receive MTX monotherapy, ETN monotherapy, or continue combination therapy. Multivariate logistic regression analysis was performed to identify baseline factors associated with remission or LDA at the end of both periods.

RESULTS

Of 371 patients enrolled, 253 entered the double-blind period. After adjusting for other factors, covariates associated with achieving SDAI remission at the end of the run-in period included younger age, longer duration of MTX treatment, and less severe clinical disease variables. Covariates associated with maintaining remission/LDA at the end of the 48-week double-blind period included lower patient global assessment of disease activity (PtGA), lower C-reactive protein, rheumatoid factor (RF) negativity, longer RA duration in the MTX arm, shorter duration of ETN treatment, and lower magnesium.

CONCLUSION

These findings indicate patients with overall lower disease activity are more likely to remain in SDAI remission/LDA after switching from combination therapy to monotherapy. RF-negative status and lower PtGA scores were strongly associated with increased likelihood of remaining in remission/LDA with MTX or ETN monotherapy. (SEAM-RA; ClinicalTrials.gov: NCT02373813).

Safety profile of upadacitinib in patients at risk of cardiovascular disease: integrated post hoc analysis of the SELECT phase III rheumatoid arthritis clinical programme

OBJECTIVE

Increased risk of serious adverse events (AEs) was reported for tofacitinib relative to tumour necrosis factor inhibitor therapy in patients with rheumatoid arthritis (RA) aged ≥50 years enriched for cardiovascular (CV) risk (ORAL Surveillance). We assessed post hoc the potential risk of upadacitinib in a similar RA population.

METHODS

Pooled safety data from six phase III trials were evaluated post hoc for AEs in patients receiving upadacitinib 15 mg once a day (with or without conventional synthetic disease-modifying antirheumatic drugs), adalimumab 40 mg every other week with concomitant methotrexate (MTX), or MTX monotherapy in the overall trial population and in a subset of patients with higher CV risk (aged ≥50 years, ≥1 CV risk factor). Higher-risk patients from a head-to-head study of upadacitinib 15 mg versus adalimumab (SELECT-COMPARE) were assessed in parallel. Exposure-adjusted incidence rates for treatment-emergent AEs were summarised based on exposure to upadacitinib or comparators.

RESULTS

A total of 3209 patients received upadacitinib 15 mg, 579 received adalimumab and 314 received MTX monotherapy; ~54% of the patients were included in the overall and SELECT-COMPARE higher-risk populations. Major adverse cardiovascular events (MACE), malignancy (excluding non-melanoma skin cancer (NMSC)) and venous thromboembolism (VTE) were more frequent in the higher-risk cohorts versus the overall population but were generally similar across treatment groups. Rates of serious infections in higher-risk populations and herpes zoster (HZ) and NMSC in all populations were higher with upadacitinib 15 mg than comparators.

CONCLUSIONS

An increased risk of MACE, malignancy (excluding NMSC) and VTE was observed in higher-risk populations with RA, yet risk was comparable between upadacitinib-treated and adalimumab-treated patients. Higher rates of NMSC and HZ were observed with upadacitinib versus comparators across all populations, and increased rates of serious infections were detected in upadacitinib-treated patients at higher CV risk.

TRIAL REGISTRATION NUMBERS

NCT02706873, NCT02675426, NCT02629159, NCT02706951, NCT02706847 and NCT03086343.

Using pooled electronic health records data to conduct pharmacoepidemiology safety studies: Challenges and lessons learned

PURPOSE

We assessed the suitability of pooled electronic health record (EHR) data from clinical research networks (CRNs) of the patient-centered outcomes research network to conduct studies of the association between tumor necrosis factor inhibitors (TNFi) and infections.

METHODS

EHR data from patients with one of seven autoimmune diseases were obtained from three CRNs and pooled. Person-level linkage of CRN data and Centers for Medicare and Medicaid Services (CMS) fee-for-service claims data was performed where possible. Using filled prescriptions from CMS claims data as the gold standard, we assessed the misclassification of EHR-based new (incident) user definitions. Among new users of TNFi, we assessed subsequent rates of hospitalized infection in EHR and CMS data.

RESULTS

The study included 45 483 new users of TNFi, of whom 1416 were successfully linked to their CMS claims. Overall, 44% of new EHR TNFi prescriptions were not associated with medication claims. Our most specific new user definition had a misclassification rate of 3.5%-16.4% for prevalent use, depending on the medication. Greater than 80% of CRN prescriptions had either zero refills or missing refill data. Compared to using EHR data alone, there was a 2- to 8-fold increase in hospitalized infection rates when CMS claims data were added to the analysis.

CONCLUSIONS

EHR data substantially misclassified TNFi exposure and underestimated the incidence of hospitalized infections compared to claims data. EHR-based new user definitions were reasonably accurate. Overall, using CRN data for pharmacoepidemiology studies is challenging, especially for biologics, and would benefit from supplementation by other sources.

Rheumatoid Arthritis Disease Activity and Hospitalized Infection in a Large US Registry

OBJECTIVES

The association between disease activity and infection risk among patients with rheumatoid arthritis (RA) is not clear, and it is challenging to determine because of confounding due to the effects of RA treatments and comorbidities.

METHODS

Using patients with RA in the CorEvitas registry with Medicare coverage in 2006-2019, we identified eligible patients who had at least 1 visit with moderate disease activity based on the Clinical Disease Activity Index (CDAI; CDAI >10 and ≤22). Follow-up started at the subsequent CorEvitas visit. Hospitalized infection during follow-up was assessed in linked Medicare data. We calculated the incidence rate of hospitalized infection for patients in remission, and low and moderate disease activity, and estimated the effect of time-varying CDAI on hospitalized infection by controlling for baseline and time-dependent confounders using marginal structural models (MSMs).

RESULTS

A total of 3,254 patients with RA were eligible for analysis, among which 529 hospitalized infections were identified during follow-up. The crude incidence of hospitalized infection was 3.8 per 100 person-years for patients in remission, 6.6 for low disease activity, and 8.0 for moderate disease activity. Using MSMs and compared with being in remission, the hazard ratio of hospitalized infection associated with low disease activity was 1.60 (95% confidence interval [95% CI] 1.13-2.28) and with moderate disease activity was 1.83 (95% CI 1.30-2.64).

CONCLUSION

The risk of hospitalized infection was higher for patients with RA in low or moderate disease activity than for those in remission after accounting for the interplay of disease activity, RA treatments, treatment switching, and other potential confounders.

Real-World Sarilumab Use and Rule Testing to Predict Treatment Response in Patients with Rheumatoid Arthritis: Findings from the RISE Registry

INTRODUCTION

Clinical trial findings may not be generalizable to routine practice. This study evaluated sarilumab effectiveness in patients with rheumatoid arthritis (RA) and tested the real-world applicability of a response prediction rule, derived from trial data using machine learning (based on C-reactive protein [CRP] > 12.3 mg/l and seropositivity [anticyclic citrullinated peptide antibodies, ACPA +]).

METHODS

Sarilumab initiators from the ACR-RISE Registry, with ≥ 1 prescription on/after its FDA approval (2017-2020), were divided into three cohorts based on progressively restrictive criteria: Cohort A (had active disease), Cohort B (met eligibility criteria of a phase 3 trial in RA patients with inadequate response/intolerance to tumor necrosis factor inhibitors [TNFi]), and Cohort C (characteristics matched to the phase 3 trial baseline). Mean changes in Clinical Disease Activity Index (CDAI) and Routine Assessment of Patient Index Data 3 (RAPID3) were evaluated at 6 and 12 months. In a separate cohort, predictive rule was tested based on CRP levels and seropositive status (ACPA and/or rheumatoid factor); patients were categorized into rule-positive (seropositive with CRP > 12.3 mg/l) and rule-negative groups to compare the odds of achieving CDAI low disease activity (LDA)/remission and minimal clinically important difference (MCID) over 24 weeks.

RESULTS

Among sarilumab initiators (N = 2949), treatment effectiveness was noted across cohorts, with greater improvement noted for Cohort C at 6 and 12 months. Among the predictive rule cohort (N = 205), rule-positive (vs. rule-negative) patients were more likely to reach LDA (odds ratio: 1.5 [0.7, 3.2]) and MCID (1.1 [0.5, 2.4]). Sensitivity analyses (CRP > 5 mg/l) showed better response to sarilumab in rule-positive patients.

CONCLUSIONS

In real-world setting, sarilumab demonstrated treatment effectiveness, with greater improvements in the most selective population, mirroring phase 3 TNFi-refractory and rule-positive RA patients. Seropositivity appeared a stronger driver for treatment response than CRP, although optimization of the rule in routine practice requires further data.

Clinical and Economic Burden of Herpes Zoster in Patients with Rheumatoid Arthritis: A Retrospective Cohort Study Using Administrative Claims

OBJECTIVE

To estimate the incremental healthcare resource utilization (HRU) and cost burden posed by herpes zoster (HZ) in adult patients with rheumatoid arthritis (RA) in the United States.

METHODS

A retrospective cohort study was conducted using an administrative claims database containing commercial and Medicare Advantage with Part D data, between October 2015 and February 2020. Patients with RA and HZ (RA+/HZ+) or RA without HZ (RA+/HZ-) were identified based on diagnosis codes and relevant medications. Outcomes measured included HRU and medical, pharmacy, and total costs at month 1, quarter 1, and year 1 after the index date (HZ diagnosis for RA+/HZ+ cohort, randomly assigned for RA+/HZ- cohort). Generalized linear models incorporating propensity scores and other covariates were used to estimate differences in outcomes between cohorts.

RESULTS

A total of 1866 patients from the RA+/HZ+ cohort and 38,846 patients from the RA+/HZ- cohort were included. Hospitalizations and emergency department visits occurred more frequently in the RA+/HZ+ than the RA+/HZ- cohort, especially in the month after HZ diagnosis (adjusted incidence rate ratio [95% confidence interval (CI)] for hospitalizations: 3.4 [2.8; 4.2]; emergency department visits: 3.7 [3.0; 4.4]). Total costs were also higher in the month after HZ diagnosis (mean adjusted cost difference [95% CI]: $3404 [$2089; $4779]), with cost differences driven by increased medical costs ($2677 [$1692; $3670]).

CONCLUSIONS

These findings highlight the high economic burden of HZ among individuals with RA in the United States. Strategies to reduce the risk of HZ in patients with RA (such as vaccination) may serve to reduce this burden. Video abstract.

Trimethoprim-sulfamethoxazole prophylaxis during treatment of granulomatosis with polyangiitis with rituximab in the United States of America: a retrospective cohort study

BACKGROUND

Antibiotic prophylaxis is recommended during ANCA-associated vasculitis (AAV) induction. We aimed to describe the frequency, persistence, and factors associated with trimethoprim-sulfamethoxazole (TMP-SMX) use in an adult population sample with granulomatosis with polyangiitis (GPA) treated with rituximab (RTX).

METHODS

We identified adults with GPA treated with RTX within the Merative™ Marketscan® Research Databases (2011-2020). TMP-SMX prophylaxis was defined as a [Formula: see text] 28-day prescription dispensed within a month of starting RTX. We estimated TMP-SMX persistence, allowing prescription refill gaps of 30 days. Multivariable logistic regression and Cox proportional hazards regression assessed the factors associated with baseline TMP-SMX use and persistence, respectively. Covariates included age, sex, calendar year, insurance type, immunosuppressant use, hospitalization, and co-morbidities.

RESULTS

Among 1877 RTX-treated GPA patients, the mean age was 50.9, and 54% were female. A minority (n = 426, 23%) received TMP-SMX with a median persistence of 141 (IQR 83-248) days. In multivariable analyses, prophylaxis was associated with prednisone use in the month prior to RTX ([Formula: see text] 20 mg/day vs none, OR 3.96; 95% CI 3.0-5.2; 1-19 mg/day vs none, OR 2.63; 95% CI 1.8-3.8), and methotrexate use (OR 1.48, 95% CI 1.04-2.1), intensive care (OR 1.95; 95% CI 1.4-2.7), and non-intensive care hospitalization (OR 1.56; 95% CI 1.2-2.1) in the 6 months prior to RTX. Female sex (OR 0.63; 95% CI 0.5-0.8) was negatively associated with TMP-SMX use.

CONCLUSIONS

TMP-SMX was dispensed to a minority of RTX-treated GPA patients, more often to those on glucocorticoids and with recent hospitalization. Further research is needed to determine the optimal use and duration of TMP-SMX prophylaxis following RTX in AAV.

Multimorbidity Patterns and Rheumatoid Arthritis Disease Outcomes: Findings From a Multicenter, Prospective Cohort

OBJECTIVE

To determine whether unique multimorbidity patterns are associated with long-term rheumatoid arthritis (RA) disease severity.

METHODS

We conducted a cohort study within the Veterans Affairs Rheumatoid Arthritis registry. We applied previously derived multimorbidity patterns based on the presence of diagnostic codes for relevant conditions prior to enrollment using linked administrative data. Disease activity and functional status were assessed longitudinally up to 5 years after enrollment. The association of multimorbidity patterns with disease activity and functional status were assessed using generalized estimating equations models adjusting for relevant confounders.

RESULTS

We studied 2,956 participants, of which 88.2% were male, 76.9% reported white race, and 79.3% had a smoking history. Mental health and substance abuse (β 0.12 [95% confidence interval {CI} 0.00, 0.23]), cardiovascular (β 0.25 [95% CI 0.12, 0.38]), and chronic pain (β 0.21 [95% CI 0.11, 0.31]) multimorbidity were associated with higher Disease Activity Score in 28 joints (DAS28) scores. Mental health and substance abuse (β 0.09 [0.03, 0.15]), cardiovascular (β 0.11 [95% CI 0.04, 0.17]), and chronic pain multimorbidity (β 0.15 [95% CI 0.10, 0.20]) were also associated with higher Multidimensional Health Assessment Questionnaire (MDHAQ) scores. The metabolic pattern of multimorbidity was not associated with DAS28 or MDHAQ. The number of multimorbidity patterns present was highly associated with DAS28 and MDHAQ (P trend < 0.001), and patients with all four multimorbidity patterns had the highest DAS28 (β 0.59 [95% CI 0.36, 0.83]) and MDHAQ (β 0.27 [95% CI 0.16, 0.39]) scores.

CONCLUSION

Mental health and substance abuse, chronic pain, and cardiovascular multimorbidity patterns are associated with increased RA disease activity and poorer functional status. Identifying and addressing these multimorbidity patterns may facilitate achieving RA treatment targets.

Childhood-Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short-Term Kidney Status and Variation in Care

OBJECTIVE

The goal was to characterize short-term kidney status and describe variation in early care utilization in a multicenter cohort of patients with childhood-onset systemic lupus erythematosus (cSLE) and nephritis.

METHODS

We analyzed previously collected prospective data from North American patients with cSLE with kidney biopsy-proven nephritis enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry from March 2017 through December 2019. We determined the proportion of patients with abnormal kidney status at the most recent registry visit and applied generalized linear mixed models to identify associated factors. We also calculated frequency of medication use, both during induction and ever recorded.

RESULTS

We identified 222 patients with kidney biopsy-proven nephritis, with 64% class III/IV nephritis on initial biopsy. At the most recent registry visit at median (interquartile range) of 17 (8-29) months from initial kidney biopsy, 58 of 106 patients (55%) with available data had abnormal kidney status. This finding was associated with male sex (odds ratio [OR] 3.88, 95% confidence interval [95% CI] 1.21-12.46) and age at cSLE diagnosis (OR 1.23, 95% CI 1.01-1.49). Patients with class IV nephritis were more likely than class III to receive cyclophosphamide and rituximab during induction. There was substantial variation in mycophenolate, cyclophosphamide, and rituximab ever use patterns across rheumatology centers.

CONCLUSION

In this cohort with predominately class III/IV nephritis, male sex and older age at cSLE diagnosis were associated with abnormal short-term kidney status. We also observed substantial variation in contemporary medication use for pediatric lupus nephritis between pediatric rheumatology centers. Additional studies are needed to better understand the impact of this variation on long-term kidney outcomes.

Patient Perceptions of Rheumatoid Arthritis Blood Work: A Cross-Sectional Survey in the ArthritisPower Registry

OBJECTIVE

To examine how patients with rheumatoid arthritis (RA) perceive RA-related laboratory testing and the potential utility of a blood test to predict treatment response to a new RA medication.

METHODS

ArthritisPower members with RA were invited to participate in a cross-sectional survey on reasons for laboratory testing plus a choice-based conjoint analysis exercise to determine how patients value different attributes of a biomarker-based test to predict treatment response.

RESULTS

Most patients perceived that their doctors ordered laboratory tests to check for active inflammation (85.9%) or assess medication side effects (81.2%). The most commonly ordered blood tests used to monitor RA were complete blood counts, liver function tests, and those measuring C-reactive protein (CRP) and erythrocyte sedimentation rate. Patients felt CRP was most helpful in understanding their disease activity. Most worried their current RA medication would eventually stop working (91.4%) and they would waste time trying a new RA medication that may not work for them (81.7%). For patients who would require a future change in RA treatment, a majority (89.2%) reported that they would be very/extremely interested in a blood test that could help predict whether such new medication would be effective. Highly accurate test results (improving the chance RA medication will work from 50% to 85-95%) were more important to patients than low out-of-pocket cost (<$20) or minimal wait time (<7 days).

CONCLUSIONS

Patients consider RA-related blood work important for monitoring of inflammation and medication side effects. They worry about treatment effectiveness and would undergo testing to accurately predict treatment response.

Assessment of Real-World Patient-Reported Outcomes in Patients Initiating Biologic Agents for the Treatment of Autoimmune Diseases: An Observational Study in Four Patient-Powered Research Networks

Background

The most reliable and meaningful approach for inclusion of patient-reported outcomes (PROs) in the evaluation of real-world clinical effectiveness of biologics in the treatment of autoimmune diseases is u ncertain. This study aimed to assess and compare the proportions of patients who had abnormalities in PROs measuring important general health domains at the initiation of treatment with biologics, as well as the effects of baseline abnormalities on subsequent improvement.

Methods

PROs were collected for patient participants with inflammatory arthritis, inflammatory bowel disease, and vasculitis using Patient-Reported Outcomes Measurement Information System instruments. Scores were reported as T-scores normalized to the general population in the United States. Baseline PROs scores were collected near the time of biologic initiation, and follow-up scores were collected 3 to 8 months later. In addition to summary statistics, the proportion of patients with PROs abnormalities (scores ≥5 units worse than the population norm) was determined. Baseline and follow-up scores were compared, and an improvement of ≥5 units was considered significant.

Results

There was wide variation across autoimmune diseases in baseline PROs scores for all domains. For example, the proportion of participants with abnormal baseline pain interference scores ranged from 52% to 93%. When restricted to participants with baseline PROs abnormalities, the proportion of participants experiencing an improvement of ≥5 units was substantially higher.

Conclusion

As expected, many patients experienced improvement in PROs following initiation of treatment with biologics for autoimmune diseases. Nevertheless, a substantial proportion of participants did not exhibit abnormalities in all PROs domains at baseline, and these participants appear less likely to experience improvement. For PROs to be reliably and meaningfully included in the evaluation of real-world medication effectiveness, more knowledge and careful consideration are needed to select the most appropriate patient populations and subgroups for inclusion and evaluation in studies measuring change in PROs.

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.

Improvement or Worsening of Disease Activity After Switch to Sarilumab in Patients With Rheumatoid Arthritis With a Partial Response to Adalimumab

OBJECTIVE

The aim of this study was to assess the effect of switching from adalimumab to sarilumab monotherapy in partial responders with rheumatoid arthritis from the MONARCH randomized trial and its open-label extension (OLE).

METHODS

Partial response was defined as improvement in Clinical Disease Activity Index (CDAI) of 12 or 6 units (baseline score: >22 or >10 and ≤22, respectively). Proportions of adalimumab partial responders with meaningful worsening or improvement at OLE weeks 12 and 24 were evaluated using 2 CDAI thresholds (≥6 and ≥12 points), 28-joint Disease Activity Score using erythrocyte sedimentation rate (≥0.6 and ≥1.2 points), Health Assessment Questionnaire Disability Index (≥0.22 and ≥0.30 points), Simple Disease Activity Index (≥7 and ≥13 points), physician and patient global assessments (≥10 and ≥20), and 28-joint swollen and tender joint counts (≥1 and ≥2 joints). Outcomes were analyzed using mixed-effect models with repeated measures for observed cases. The p values were produced using Wilcoxon tests.

RESULTS

Of 369 enrolled patients, 320 (87%) entered the OLE and 155 switched from adalimumab to sarilumab; 59% (91/155) were partial responders. At week 24, 4%-17% and 2%-12% of partial responders experienced a worsening using the lower and higher thresholds, respectively, whereas 47%-78% and 27%-66% experienced improvement.

CONCLUSIONS

Partial responders to adalimumab who switched to sarilumab had a low likelihood of experiencing meaningful worsening, with most patients showing meaningful improvement or no change in disease activity. This may help alleviate patients' fears of worsening when considering switching to a treatment with a different mechanism of action.

Engaging Multistakeholder Perspectives to Identify Patient-Centered Research Priorities Regarding Vaccine Uptake Among Adults With Autoimmune Conditions

OBJECTIVE

The study objective was to prioritize topics for future patient-centered research to increase uptake of common vaccines, such as for pneumococcal pneumonia, influenza, herpes zoster, human papillomavirus, and severe acute respiratory syndrome coronavirus 2, among adults living with autoimmune conditions.

METHODS

A steering committee (SC) was formed that included clinicians, patients, patient advocates, and researchers associated with rheumatic diseases (psoriatic arthritis, rheumatoid arthritis, vasculitis), inflammatory bowel disease, and multiple sclerosis. Through a scoping review and discussions, SC members identified research topics regarding vaccine uptake and/or hesitancy for prioritization. A larger multistakeholder alliance that included patients and patient advocates, clinicians, researchers, policy makers, regulators, and vaccine manufacturers conducted a modified Delphi exercise online with three rating rounds and one ranking round. Frequency analysis and comparisons across stakeholder groups were conducted. A weighted ranking score was generated for each item in the ranking round for final prioritization.

RESULTS

Through the Delphi process, 33 research topics were identified, of which 13 topics were rated as critical by more than 70% of all stakeholders (n = 31). The two highest ranked critical topics per the full stakeholder group were "How well a vaccine works for adults with autoimmune conditions" and "How beliefs about vaccine safety affect vaccine uptake."

CONCLUSION

A multistakeholder group identified key topics as critically important priorities for future research to decrease vaccine hesitancy and improve uptake of vaccines for adults with autoimmune conditions.

Comparability of Osteoporosis Treatment Groups Among Female Medicare Beneficiaries in the United States

It is often difficult to obtain valid estimates of comparative treatment effectiveness and safety owing to differences across patient populations taking different medications in the real world. One approach for assessing comparability between treatment groups in effectiveness studies is to use negative control outcomes (NCOs). NCOs share similar sources of bias with the primary outcomes but have no plausible causal relationship to the treatment of interest. Observing differences in the risk of NCOs thus provides evidence for residual confounding between groups. This retrospective study assessed the comparability of postmenopausal women, treated with osteoporosis medications with various mechanisms of action such as denosumab (RANKL inhibitor), zoledronic acid (bisphosphonate derivative), or oral bisphosphonates including alendronate. Administrative claims data were extracted from the US Centers for Medicare and Medicaid Services' Chronic Condition Warehouse database (May 2010 - December 2016). Propensity scores were used to match denosumab patients 1:1 to comparators. Four non-fracture NCOs and three early fracture NCOs (before substantial biologic effects of treatment would be expected) were assessed over 1-year and 3-month follow-up periods, respectively. According to comparability decision rules established a priori, patients initiating denosumab were comparable to those initiating zoledronic acid or alendronate, irrespective of prior osteoporosis treatment experience. Among new users, new switchers, and in the historical fracture subgroup, no meaningful differences were observed in the cumulative incidence of the 7 NCOs comparing denosumab to zoledronic acid. This empirical examination can assist in the selection of appropriate comparator groups for future comparability research using real-world data. This article is protected by copyright. All rights reserved.

Enhancing the identification of rheumatoid arthritis-associated interstitial lung disease through text mining of chest computerized tomography reports

OBJECTIVES

Algorithms have been developed to identify rheumatoid arthritis-interstitial lung disease (RA-ILD) in administrative data with positive predictive values (PPVs) between 70 and 80%. We hypothesized that including ILD-related terms identified within chest computed tomography (CT) reports through text mining would improve the PPV of these algorithms in this cross-sectional study.

METHODS

We identified a derivation cohort of possible RA-ILD cases (n = 114) using electronic health record data from a large academic medical center and performed medical record review to validate diagnoses (reference standard). ILD-related terms (e.g., ground glass, honeycomb) were identified in chest CT reports by natural language processing. Administrative algorithms including diagnostic and procedural codes as well as specialty were applied to the cohort both with and without the requirement for ILD-related terms from CT reports. We subsequently analyzed similar algorithms in an external validation cohort of 536 participants with RA.

RESULTS

The addition of ILD-related terms to RA-ILD administrative algorithms increased the PPV in both the derivation (improvement ranging from 3.6 to 11.7%) and validation cohorts (improvement 6.0 to 21.1%). This increase was greatest for less stringent algorithms. Administrative algorithms including ILD-related terms from CT reports exceeded a PPV of 90% (maximum 94.6% derivation cohort). Increases in PPV were accompanied by a decline in sensitivity (validation cohort -3.9 to -19.5%).

CONCLUSIONS

The addition of ILD-related terms identified by text mining from chest CT reports led to improvements in the PPV of RA-ILD algorithms. With high PPVs, use of these algorithms in large data sets could facilitate epidemiologic and comparative effectiveness research in RA-ILD.

Effectiveness and safety of intravenous golimumab with and without concomitant methotrexate in patients with rheumatoid arthritis in the prospective, noninterventional AWARE study

BACKGROUND

Biologic therapies are often prescribed for patients with rheumatoid arthritis (RA) who have inadequate responses to or are intolerant of methotrexate (MTX) and patients with poor prognostic indicators. This post hoc analysis evaluated effectiveness and safety of intravenous golimumab + MTX vs golimumab without MTX in RA patients.

METHODS

AWARE, a real-world, prospective and pragmatic, Phase 4 study, compared effectiveness and safety of golimumab and infliximab in biologic-naïve and biologic-experienced patients. All treatment decisions were at the discretion of the treating rheumatologist. Effectiveness was evaluated by mean change in CDAI scores at Months 6 and 12. Safety was monitored through approximately 1 year.

RESULTS

Among 685 golimumab-treated patients, 420 (61%) received concomitant MTX during the study and 265 (39%) did not receive MTX after enrollment; 63% and 72%, respectively, discontinued the study. Relative to golimumab without MTX, golimumab + MTX patients had shorter mean disease duration (8.7 vs 10.0 years) and a lower proportion received prior biologics (60% vs 72%); mean ± standard deviation (SD) baseline CDAI scores were similar (30.8 ± 15.1 and 32.6 ± 15.4). Mean ± SD changes from baseline in CDAI scores at Months 6 and 12, respectively, were similar with golimumab + MTX (- 10.2 ± 14.2 and - 10.8 ± 13.8) and golimumab without MTX (- 9.6 ± 12.9 and - 9.9 ± 13.1). The incidence of adverse events/100 patient-years (PY) (95% confidence interval [CI]) was 155.6 (145.6, 166.1) for golimumab + MTX and 191.2 (176.2, 207.1) for golimumab without MTX; infections were the most common type. The incidence of infusion reactions/100PY (95% CI) was 2.1 (1.1, 3.6) for golimumab + MTX versus 5.1 (2.9, 8.3) for golimumab without MTX; none were considered serious. For golimumab + MTX versus golimumab without MTX, rates/100PY (95% CI) of serious infections, opportunistic infections, and malignancies were 2.6 (1.5, 4.3) versus 7.0 (4.4, 10.6), 0.9 (0.3, 2.0) versus 2.6 (1.1, 5.0), and 3.0 (1.7, 4.7) versus 1.0 (0.2, 2.8), respectively.

CONCLUSIONS

Mean change in CDAI score in the  golimumab without MTX group was generally similar to that of the golimumab + MTX group through 1 year, regardless of prior biologic therapy. Adverse events were consistent with the known IV golimumab safety profile. These results provide real world evidential data that may assist healthcare providers and patients with RA in making informed treatment decisions.

TRIAL REGISTRATION

clinicaltrials.gov NCT02728934 05/04/2016.

Identification of inadequate responders to advanced therapy among commercially-insured adult patients with Crohn's disease and ulcerative colitis in the United States

BACKGROUND

The purpose of this analysis was to assess the frequency of inadequate response over 1 year from advanced therapy initiation among patients with Crohn's disease (CD) or ulcerative colitis (UC) in the United States using a claims-based algorithm. Factors associated with inadequate response were also analyzed.

METHODS

This study utilized claims data of adult patients from the HealthCore Integrated Research Database (HIRD^®) from January 01, 2016 to August 31, 2019. Advanced therapies used in this study were tumor necrosis factor inhibitors (TNFi) and non-TNFi biologics. Inadequate response to an advanced therapy was identified using a claims-based algorithm. The inadequate response criteria included adherence, switching to/added a new treatment, addition of a new conventional synthetic immunomodulator or conventional disease-modifying drugs, increase in dose/frequency of advanced therapy initiation, and use of a new pain medication, or surgery. Factors influencing inadequate responders were assessed using multivariable logistic regression.

RESULTS

A total of 2437 patients with CD and 1692 patients with UC were included in this analysis. In patients with CD (mean age: 41 years; female: 53%), 81% had initiated TNFi, and 62% had inadequate response. In patients with UC (mean age: 42 years; female: 48%), 78% had initiated a TNFi, and 63% had an inadequate response. In both patients with CD and UC, inadequate response was associated with low adherence (CD: 41%; UC: 42%). Inadequate responders were more likely to be prescribed a TNFi (for CD: odds ratio [OR] = 1.94; p < 0.001; for UC: OR = 2.76; p < 0.0001).

CONCLUSION

More than 60% of patients with CD or UC had an inadequate response to their index advanced therapy within 1 year after initiation, mostly driven by low adherence. This modified claims-based algorithm for CD and UC appears useful to classify inadequate responders in health plan claims data.