Session: Abstracts: Spondyloarthritis Including PsA – Treatment II: PsA (1597–1602)
1600: The Impact of Second-Line Therapeutic on Disease Control After Discontinuation of First Line TNF Inhibitor in Patients with PsA: Analysis from the CorEvitas Psoriatic Arthritis/Spondyloarthritis Registry
Rheumatologist, Associate Professor of Medicine University of Pennsylvania Philadelphia, PA, United States
Alexis Ogdie1, Robert McLean2, Taylor Blachley2, Nicole Middaugh2, Manish Mittal3, Jerry Clewell3, Sandra Ciecinski4 and Philip J Mease5, 1Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 2CorEvitas, LLC, Waltham, MA, 3AbbVie, Inc., North Chicago, IL, 4AbbVie, Inc., Mettawa, IL, 5Swedish Medical Center/Providence St. Joseph Health, Seattle, WA
Background/Purpose: While evidence in patients (pts) with RA suggests that switching to a therapy with a different mechanism of action (MOA) may be more effective than cycling among TNF inhibitors (TNFi) after discontinuing a 1st line TNFi, the relative effectiveness of cycling vs switching in pts with PsA is currently unknown. This study compared clinical outcomes between pts with PsA who initiated a TNFi vs a non-TNFi biologic after discontinuing a 1st line TNFi in a real-world setting.
Methods: Pts with a clinical diagnosis of PsA enrolled in the CorEvitas Psoriatic Arthritis/Spondyloarthritis Registry who initiated a 2nd line advanced therapy (baseline) after discontinuation of 1st line TNFi between May 2013–January 2022 were included. Eligible pts had a follow-up visit 6-months after initiating the 2nd line therapy. Pts were stratified into two cohorts: 1) those who initiated a 2nd line TNFi (cyclers) and 2) those who initiated a 2nd line non-TNFi biologic (switchers). Baseline characteristics were summarized descriptively and compared between the groups using standardized differences (d; 0.2, 0.5, 0.8 considered small, medium, and large effects). Multivariable adjusted Poisson regression models were used to calculate risk ratios (RR) and 95% confidence intervals (CI) estimating the association between cycling vs switching status and clinical outcomes at 6 months.
Results: Among 394 eligible pts initiating a 2nd line therapy, there were 205 (52%) cyclers and 189 (48%) switchers. Groups were similar at baseline in mean age (55 years) and gender (54% female) (Table 1). Cyclers were on 1st line TNFi therapy for a shorter duration vs switchers (11.4 vs 14.7 months, d=0.26). At baseline, switchers had greater severity of psoriasis (mean body surface area; 6.5 vs 4.7) and worse disease activity, with lower proportions in a state of minimal disease activity (MDA; 22% vs 28%) or low disease activity (clinical disease activity in PsA [cDAPSA] LDA; 26% vs 30%) compared to cyclers, though differences were small (all d< 0.2). At the 6-month follow-up, switchers trended towards having an increased likelihood of achieving all clinical outcomes vs cyclers, though most CIs included 1.0 (Table 2). Data suggest switchers had 70% greater likelihood of achieving MDA (RR [95% CI] = 1.7 [0.9, 3.1]) and a nearly 4 times higher likelihood of achieving a Spondyloarthritis Research Consortium of Canada Enthesitis index score ≤1 (3.8 [1.1, 12.8]). Switchers vs cyclers had 2 times the likelihood of achieving HAQ-DI ≤0.5 (2.1 [1.0, 4.8]) and a 30% greater likelihood of achieving a pt pain score ≤15 (1.3 [0.6, 2.6]); similarly, switchers had a greater likelihood of achieving MCID in HAQ-DI (1.7 [1.0, 3.0]), pt global assessment of arthritis (1.4 [0.9, 2.0]), and morning stiffness (1.5 [1.0, 2.3]) vs cyclers.
Conclusion: Our findings in this sample of PsA pts in a real-world setting suggest that switching to a different MOA may lead to comparable or better outcomes vs cycling among TNFi. While further confirmatory studies are warranted, our results indicate physicians may consider non-TNFi biologics as an appropriate option when pts discontinue 1st line TNFi therapy.
Disclosures: A. Ogdie, AbbVie, Amgen, Novartis, Pfizer Inc, Bristol-Myers Squibb, Celgene, Janssen, CorEvitas, Gilead Sciences, Eli Lilly, GlaxoSmithKline, Happify Health, UCB; R. McLean, CorEvitas; T. Blachley, CorEvitas; N. Middaugh, CorEvitas; M. Mittal, AbbVie; J. Clewell, AbbVie; S. Ciecinski, AbbVie; P. Mease, AbbVie, Amgen, Janssen, Novartis, Pfizer Inc, UCB, Sun Pharma, Eli Lilly, Bristol-Myers Squibb(BMS), Celgene, Genentech.