Missed opportunities for treatment of inflammatory arthritis and factors associated with non-treatment: An observational cohort study in United States Veterans with rheumatoid arthritis, psoriatic arthritis, or ankylosing spondylitis.

OBJECTIVE: To identify factors associated with non-treatment with biologic and non-biologic disease modifying anti-rheumatic drugs (DMARDs) during the 12 months after initial inflammatory arthritis (IA) diagnosis. METHODS: We identified Veterans with incident IA diagnosed in 2007-2019. We assessed time to treatment with Kaplan-Meier curves. We identified associations between non-treatment and factors relating to patients, providers, and the health system with multivariate Generalized Estimation Equation (GEE) log-Poisson. Subgroup analyses included IA subtypes (rheumatoid arthritis [RA], psoriatic arthritis [PsA], and ankylosing spondylitis [AS]) and timeframes of the initial IA diagnosis (2007-11, 2012-15, and 2016-19). RESULTS: Of 18,318 study patients, 40.7 % did not receive treatment within 12 months after diagnosis. In all patients, factors associated with non-treatment included Black race (hazard ratio, 95 % confidence interval: 1.13, 1.08-1.19), Hispanic ethnicity (1.14, 1.07-1.22), Charlson Comorbidity Index ≥2, (1.15, 1.11-1.20), and opiate use (1.09, 1.05-1.13). Factors associated with higher frequency of DMARD treatment included married status (0.86, 0.81-0.91); erosion in joint imaging report (HR: 0.86, 0.81-0.91); female diagnosing provider (0.90, CI: 0.85-0.96), gender concordance between patient and provider (0.91, CI: 0.86-0.97), and diagnosing provider specialty of rheumatology (0.53, CI: 0.49-0.56). CONCLUSION: A high proportion of Veterans with IA were not treated with a biologic or non-biologic DMARD within one year after their initial diagnosis. A wide range of factors were associated with non-treatment of IA that may represent missed opportunities for improving the quality of care through early initiation of DMARDs.

Clinical and Economic Benefit of Achieving Disease Control in Psoriatic Arthritis and Ankylosing Spondylitis: A Retrospective Analysis from the OM1 Registry.

BACKGROUND: There is limited evidence on the clinical and economic benefit of achieving disease control in psoriatic arthritis (PsA) and ankylosing spondylitis (AS), thus we aimed to assess the impact of disease control on healthcare resource use (HCRU) and direct medical costs among US patients with PsA or AS over 1 year. METHODS: Data were derived from the US OM1 PsA/AS registries (PsA: 1/2013-12/2020; AS: 01/2013-4/2021) and the Optum Insight Clinformatics® Data Mart to identify adult patients with PsA or AS. Two cohorts were created: with disease control and without disease control. Disease control was defined as modified Disease Activity Index for Psoriatic Arthritis (DAPSA28) ≤ 4 for PsA and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) < 4 for AS. Outcomes were all-cause inpatient, outpatient, and emergency department (ED) visits and associated costs over a 1-year follow-up period. Mean costs per person per year (PPPY) were assessed descriptively and adjusted odds ratios (aOR) with 95% confidence intervals (CI) were estimated for the likelihood of HCRU by logistic regression. RESULTS: The study included 1235 PsA (with disease control: N = 217; without: N = 1018) and 581 AS patients (with disease control: N = 342; without: N = 239). Patients without disease control were more likely to have an inpatient (aOR [95% CI]; PsA: 3.0 [0.9, 10.1]; AS: 7.7 [2.3, 25.1]) or ED (PsA: 1.6 [0.6, 4.2]; AS: 3.5 [1.5, 8.3]) visit than those with disease control. Those without disease control, vs. those with disease control, had greater PPPY costs associated with inpatient (PsA: $1550 vs. $443), outpatient (PsA: $1789 vs. $1327; AS: $2498 vs. $2023), and ED (PsA: $114 vs. $57; AS: $316 vs. $50) visits. CONCLUSIONS: Findings from this study demonstrate lower disease activity among patients with PsA and AS is associated with less HCRU and lower costs over the following year.

Treatment Patterns with Disease-Modifying Antirheumatic Drugs in U.S. Veterans with Newly Diagnosed Rheumatoid Arthritis, Psoriatic Arthritis, or Ankylosing Spondylitis.

BACKGROUND: Delays in treatment for inflammatory arthritis (IA) are associated with unfavorable outcomes, including impaired quality of life, irreversible joint damage, and disability. OBJECTIVE: To characterize treatment initiation patterns in veterans with newly diagnosed rheumatoid arthritis (RA), psoriatic arthritis (PsA), or ankylosing spondylitis (AS). METHODS: ICD-9/10-CM codes and natural language processing were used to identify incident cases of RA, PsA, or AS between January 1, 2007, and December 31, 2015, in patients enrolled in the Veterans Health Administration. Patterns of treatment initiation and nontreatment with disease-modifying antirheumatic drugs (DMARDs) were assessed in the 12-month follow-up period after the incident diagnosis. Outcomes included the percentage of veterans treated with a DMARD, the mean time to the initial DMARD after diagnosis, and the percentage of veterans who accessed rheumatology care before DMARD initiation. To assess outcomes over time, veterans were grouped by year of initial IA diagnosis. Additionally, outcomes were compared between nonbiologic and biologic DMARDs and among IA subtypes (RA, PsA, and AS). Groups were statistically compared with 95% confidence intervals. RESULTS: The population consisted of 12,118 IA veterans (9,711 RA, 1,472 PsA, and 935 AS), with 91.3% males and a mean age of 63.7 years. The percentage of veterans treated with ≥ 1 DMARD (nonbiologic or biologic) during the 12-month follow-up period increased from 48.8% in 2007 to 66.4% in 2015. In veterans diagnosed with IA in 2015, DMARD treatment was more common for PsA patients (72.9%) and RA patients (68.6%) than for AS patients (28.9%). In the subset treated with a DMARD within 12 months after diagnosis, the mean time to the initial DMARD after diagnosis did not change throughout the observation period (35.5 days for RA, 43.9 days for PsA, and 59.5 days for AS). Rheumatology specialty care was accessed by 87.4% of veterans treated with a nonbiologic DMARD and 92.2% of veterans treated with a biologic DMARD, in patients diagnosed in 2015. CONCLUSIONS: DMARD treatment rates during the initial 12 months after diagnosis increased between 2007 and 2015, but nontreatment remained common, particularly in veterans with AS. The time to treatment after diagnosis was stable over time; it was shortest for RA, intermediate for PsA, and longest for AS. DMARD treatment was uncommon in veterans who did not access rheumatology specialty care. DISCLOSURES: AbbVie Pharmaceuticals and Marriott Daughters Foundation funded this study via investigator-initiated grants. Data analyses were completed by investigators independent of AbbVie and Marriott Daughters Foundation. Walker, Clewell, and Douglas are employed by, and stockholders in, Abbvie. Halwani reports grants from BMS, Kyowa Hakko Kirin, Seattle Genetics, Roche-Genentech, Miragen, Immunedesign, Takeda, Amgen, Pharmacyclics, and Abbvie. The other authors have nothing to disclose.

Economic Burden of Switching to Different Biologic Therapies Among Tumor Necrosis Factor Inhibitor-Experienced Patients with Psoriatic Arthritis.

INTRODUCTION: Patients with psoriatic arthritis (PsA) who receive an initial tumor necrosis factor inhibitor (TNFi) may switch to another TNFi or a non-TNFi biologic therapy. This study compared the healthcare resource use (HRU), expenditures, and time to discontinuation among TNFi-experienced patients with PsA who switched to different biologic therapies in the United States (US). METHODS: Adults with PsA who discontinued an initial TNFi (adalimumab, etanercept, infliximab, golimumab, or certolizumab pegol) and switched to another TNFi or a non-TNFi (ustekinumab or secukinumab) were identified in the Symphony Health Solutions database [Quarter (Q)1 2010-Q2 2017]. Eligible patients had claims data activity for ≥ 12 months before (baseline) and after (study period) the switching date. All-cause HRU, costs (2017 US dollars), and time to discontinuation during the study period were compared between patients switching to another TNFi vs. a non-TNFi (index drug). Multivariable regression models adjusted for baseline covariates (index year, age, sex, initial TNFi, comorbidities, baseline HRU, and PsA-related treatment history). RESULTS: Of 2107 patients switching to another TNFi and 253 switching to a non-TNFi, adalimumab and etanercept were the most common initial TNFi in both cohorts. During the study period, patients switching to another TNFi had significantly fewer dermatologists visits (0.43; p < 0.01) but more rheumatologist visits (1.56, p < 0.01) than patients switching to a non-TNFi. Patients switching to another TNFi vs. a non-TNFi incurred significantly lower total average healthcare expenditures (adjusted difference: $17,625; p < 0.01), driven by lower prescription drug (adjusted difference: $17,172; p < 0.01) and hospitalization expenditures (adjusted difference: $5772; p = 0.04). Patients who switched to another TNFi vs. a non-TNFi continued on their index therapy significantly longer (median time to discontinuation: 8.31 vs. 5.68 months; log-rank p < 0.01). CONCLUSIONS: Patients with PsA who switched to another TNFi had lower total healthcare expenditures and longer persistence compared with patients who switched to a non-TNFi biologic. FUNDING: AbbVie.

Consistency of quality attributes for the glycosylated monoclonal antibody Humira® (adalimumab).

Humira® (adalimumab) is a recombinant human IgG1 monoclonal antibody (mAb) glycoprotein consisting of 1330 amino acids that is specific for human tumor necrosis factor (TNF). The biological activity and clinical profile of mAb therapeutics, including adalimumab, is influenced by their protein structure and glycosylation patterns, which can be affected by the expression system, cell culture conditions and purification process methodology. While clinical outcome cannot yet be attributed to many of the individual structural features that constitute a mAb, it is evident that detailed structural attribute analysis is necessary if structural contributions to function are to be comprehensively defined. Adalimumab product quality data generated from over a decade of manufacturing across multiple production sites and through a series of manufacturing scale changes are presented here. These data reveal a consistent and tightly controlled profile for the product.