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Background:Upadacitinib (UPA) is an oral Janus kinase inhibitor approved for rheumatoid arthritis (RA). The safety and efficacy of UPA has been evaluated across a spectrum of patients (pts) with RA in the phase 3 SELECT clinical program.1,2Objectives:To describe long-term laboratory profiles (cutoff date: June 30, 2020) associated with exposure to UPA, adalimumab (ADA), and methotrexate (MTX) in pts with RA treated in the SELECT trials.Methods:Data were analyzed from 6 randomized controlled UPA RA trials.1,2 The proportions of pts experiencing potentially clinically significant laboratory changes at a single time point were summarized for the following groups: pooled UPA 15 mg once daily (QD; UPA15; 6 trials), pooled UPA 30 mg QD (UPA30; 4 trials), ADA 40 mg every other week (EOW; 1 trial), and MTX monotherapy (1 trial). Pts received UPA with/without background conventional synthetic disease-modifying antirheumatic drugs. Treatment-emergent adverse events are reported as exposure-adjusted event rates (events/100 pt-years [E/100 PY]). Toxicity was graded per OMERACT criteria, or NCI CTCAE for creatine phosphokinase (CPK) and creatinine.Results:4413 pts received ≥1 dose of UPA (UPA15, n=3209; UPA30, n=1204). Exposures were comparable between treatment groups (Table). Proportions of pts with Grade (Gr) 3 and 4 decreases in hemoglobin were highest with UPA30 and MTX (Table). Rates of anemia, as reported by the investigator, were comparable between UPA15, ADA, and MTX groups (Figure); the frequency of UPA-treated pts who discontinued due to anemia was low in all arms. Gr 3 and 4 decreases in neutrophils and lymphocytes with UPA were dose-dependent and higher vs ADA or MTX. Discontinuations due to neutropenia and lymphopenia were rare (Table 1.Pts with potentially clinically significant laboratory changesVariable, n (%)MTX monotherapy (n=314; 637.4 PY)ADA 40 mg EOW (n=579; 1051.8 PY)UPA 15 mg QD (n=3209; 7023.8 PY)UPA 30 mg QD (n=1204; 3091.6 PY)Mean (SD) exposure, weeks106 (67)95 (70)114 (64)134 (66)Median (range) exposure, weeks144 (1, 221)118 (2, 231)136 (0, 232)160 (0, 231)Hemoglobin, g/LGr 3 (70–28a (9.0)24b (4.2)254d (7.9)169f (14.2)Gr 4 (16a (5.1)16b (2.8)101d (3.2)78f (6.5)Neutrophils, 109/LGr 3 (0.5–3a (1.0)3b (0.5)40d (1.2)37g (3.1)Gr 4 (1a (0.3)1b (0.2)10d (0.3)5g (0.4)Lymphocytes, 109/LGr 3 (0.5–74a (23.7)53b (9.2)802d (25.1)423g (35.5)Gr 4 (5a (1.6)3b (0.5)75d (2.3)47g (3.9)ALT, U/LGr 3 (3.0–8.0 × ULN)26a (8.3)13c (2.3)152e (4.8)71h (5.9)Gr 4 (>8.0 × ULN)5a (1.6)4c (0.7)26e (0.8)10h (0.8)AST, U/LGr 3 (3.0–8.0 × ULN)15a (4.8)9c (1.6)101e (3.2)36h (3.0)Gr 4 (>8.0 × ULN)1a (0.3)5c (0.9)18e (0.6)8h (0.7)CPK, U/LGr 3 (>5.0–10.0 × ULN)2a (0.6)3c (0.5)65e (2.0)36i (3.0)Gr 4 (>10.0 × ULN)0a (0)3c (0.5)27e (0.8)15i (1.3)Creatinine, μmol/LGr 3 (>3.0–6.0 × ULN)0a (0)1c (0.2)3e (2j (0.2)Gr 4 (>6.0 × ULN)0a (0)4c (0.7)8e (0.3)1j (an=312. bn=576. cn=577. dn=3201. en=3199. fn=1193. gn=1192. hn=1195. in=1196. jn=1197ULN, upper limit of normalConclusion:This long-term analysis of UPA-treated pts with RA showed dose-dependent relationships for several laboratory abnormalities. Incidences of these with UPA15 were typically higher than with ADA but similar to MTX, except for increased CPK elevations. Treatment discontinuations due to laboratory abnormalities were infrequent and similar across all treatment groups.References:[1]Tanaka Y. Mod Rheumatol 2020;30:779–87; 2. Rubbert-Roth A, et al. N Engl J Med 2020;383:1511–21.Acknowledgements:AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Russell Craddock, PhD, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.Disclosure of Interests:Christina Charles-Schoeman Consultant of: AbbVie, Gilead, Pfizer, and Sanofi/Regeneron, Grant/research support from: AbbVie, Bristol-Myers Squibb, and Pfizer, Jon T Giles Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Gilead, Pfizer, and UCB, Grant/research support from: Pfizer, Nancy Lane Consultant of: Amgen, Mallinckrodt, Pfizer, and Roche, Ernest Choy Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Chugai, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Regeneron, Roche, Sanofi, and UCB, Consultant of: AbbVie, Amgen, Biocon, Biogen, Chugai, Eli Lilly, Gilead, Janssen, Merck Serono, Novartis, Pfizer, Regeneron, Roche, R-Pharm, and Sanofi, Grant/research support from: Bio-Cancer, Biogen, Novartis, Pfizer, Roche, Sanofi, and UCB, Daniel Furst Speakers bureau: AbbVie, Continuing Medical Education, and Novartis, Consultant of: Actelion, Amgen, Bristol-Myers Squibb, Corbus, Galapagos, Novartis, and Pfizer, Grant/research support from: Actelion, Amgen, Bristol-Myers Squibb, Corbus, Galapagos, GSK, NIH, Novartis, Pfizer, Roche/Genentech, and Sanofi, Jiří Vencovský Speakers bureau: AbbVie, Biogen, MSD, Pfizer, Roche, Sanofi, and UCB, Consultant of: AbbVie, Boehringer Ingelheim, Eli Lilly, Gilead, and Octapharma, Anthony G Wilson: None declared, Gerd Rüdiger Burmester Speakers bureau: AbbVie, Eli Lilly, Gilead, Janssen, MSD, Pfizer, Roche, and UCB, Consultant of: AbbVie, Eli Lilly, Gilead, Janssen, MSD, Pfizer, Roche, and UCB, Tim Shaw Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Heidi Camp Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Nasser Khan Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Jillian Yee Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Samuel Anyanwu Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Iain McInnes Consultant of: AbbVie, Celgene, Janssen, Novartis, and UCB, Grant/research support from: Celgene, Janssen, Novartis, Pfizer, Roche, and UCB

Background:Upadacitinib (UPA) is an oral Janus kinase (JAK) inhibitor engineered to have greater selectivity for JAK1 vs JAK2, JAK3, and tyrosine kinase 2, and is approved for the treatment of RA. Across 2 double-blind, placebo (PBO)-controlled Phase 3 studies of UPA in patients with RA, after an initial increase through Week 8, lipid levels remained stable up to Week 24.1,2 Previous studies of JAK or IL-6 receptor inhibitors have reported a negative correlation between changes in lipid levels and RA disease activity.3,4Objectives:To determine the relationship between changes in lipid levels and disease activity outcomes in patients with RA treated with UPA.Methods:Patients with RA and an inadequate response to conventional synthetic/biologic DMARDs (cs/bDMARD-IR) from SELECT-NEXT/SELECT-BEYOND, respectively, were randomized to receive UPA 15 mg once daily (QD), UPA 30 mg QD, or PBO for 12 weeks followed by an extension of up to 5 years; patients randomized to PBO switched to UPA 15 or 30 mg after 12 weeks. Spearman correlations of maximum changes from baseline (BL) through Week 12 in fasting-state lipid levels (low- and high-density lipoprotein cholesterol [LDL-C; HDL-C], and total cholesterol [TC]) with clinical disease activity outcomes measured by change from BL in Clinical Disease Activity Index (CDAI), DAS of 28 joints using CRP (DAS28[CRP]), tender/swollen joint count in 28 joints (TJC28/SJC28), and pain by visual analog scale (VAS) at Weeks 12 and 24, were determined. Spearman correlations of maximum changes from BL in lipid levels and CRP through Week 12 were also determined.Results:Available fasting samples from 1,160 pooled patients (UPA 15 mg, n=386; UPA 30 mg, n=384; PBO, n=390) were included. Modest, but statistically significant, negative correlations were observed between maximum changes from BL in TC through Week 12 and change from BL in CDAI, DAS28(CRP), SJC28, and pain (VAS) at Week 12 with UPA 15 or 30 mg (Figure 1); similar trends were observed at Week 24. Significant correlations between changes in LDL-C and HDL-C and disease activity outcomes were also observed, but were not consistent across UPA doses and time points. No significant correlations were noted between changes in lipid levels and disease activity outcomes in the PBO group. Statistically significant weak negative relationships were observed between maximum changes from BL in lipid levels and CRP levels through Week 12 with UPA 15 mg (HDL-C and TC) or UPA 30 mg (LDL-C and TC) (Table 1).Conclusion:In this large pooled data set of patients receiving UPA, increases in lipid levels showed modest, but statistically significant, correlations with improvement in clinical disease activity outcomes in patients with cs/bDMARD-IR RA. These results add to evidence suggesting a relationship between systemic inflammation and lipid metabolism in patients with RA, which is modifiable with effective interventions, and reinforce the importance of monitoring for hyperlipidemia in these patients.References:[1]Burmester GR, et al. Lancet 2018;391:2503–12.[2]Genovese MC, et al. Lancet 2018;391:2513–24.[3]Kremer JM, et al. Arthritis Rheumatol 2017;69:943–52.[4]Cacciapaglia F, et al. Mediators Inflamm 2018;2018:2453265.Table 1.Spearman correlation of maximum changes from BL in lipid levels through Week 12 with maximum change from BL in CRP through Week 12UPA 15 mg QDUPA 30 mg QDPBOLDL-C-0.099 (n=303)-0.174** (n=302)-0.053 (n=303)HDL-C-0.184** (n=305)-0.087 (n=304)-0.024 (n=303)TC-0.189*** (n=305)-0.236*** (n=304)-0.056 (n=303)**pHDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoproteincholesterol; PBO, placebo; QD, once daily; TC, total cholesterol; UPA, upadacitinibAcknowledgements:AbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing assistance was provided by Frances Smith, PhD, of 2 the Nth, which was funded by AbbVie.Disclosure of Interests:Christina Charles-Schoeman Consultant of: AbbVie, Gilead, Pfizer, and Regeneron-Sanofi., Grant/research support from: AbbVie, Bristol-Myers Squibb, and Pfizer, Jon T Giles Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, and Gilead, Grant/research support from: Pfizer, Nancy Lane Speakers bureau: Amgen and Mallinckrodt, Consultant of: Amgen, Mallinckrodt, Pfizer, and Roche, Ernest Choy Speakers bureau: AbbVie, Amgen, AstraZeneca, Bio-Cancer, Biogen, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Chugai Pharma, Eli Lilly, Ferring Pharmaceuticals, GlaxoSmithKline, Hospira, Janssen, Merck Sharp & Dohme, Napp, Novimmune, Novartis, ObsEva, Pfizer, Regeneron, Roche, R-Pharm, Sanofi, SynAct Pharma, Synovate, Tonix, and UCB, Grant/research support from: AbbVie, Amgen, AstraZeneca, Bio-Cancer, Biogen, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Chugai Pharma, Eli Lilly, Ferring Pharmaceuticals, GlaxoSmithKline, Hospira, Janssen, Merck Sharp & Dohme, Napp, Novimmune, Novartis, ObsEva, Pfizer, Regeneron, Roche, R-Pharm, Sanofi, SynAct Pharma, Synovate, Tonix, and UCB, Heidi Camp Shareholder of: AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: AbbVie, Employee of: AbbVie, Samuel Anyanwu Shareholder of: AbbVie, Employee of: AbbVie, Iain McInnes Consultant of: AbbVie, Celgene, Janssen, Novartis, and UCB, Grant/research support from: Celgene, Janssen, Novartis, Pfizer Inc., Roche, and UCB

Background Circulating lipids have been implicated as important modulators of immune response, and altered lipid levels correlate with the severity of infection. However, long-term prognostic implications of lipid levels regarding future infection risk remain unclear. The current project aims to explore whether baseline lipid levels are associated with risk of future serious infection, measured by hospitalization for pneumonia. Methods A retrospective analysis was performed in 13,478 participants selected from the Atherosclerosis Risk in Communities (ARIC) study, a large community-based longitudinal cohort in the United States with a median follow-up time of >20 years. First incident of hospitalization for pneumonia was identified through hospital discharge records. Cox proportional hazard models were used to assess the association of baseline major lipid levels (total cholesterol, low-density lipoprotein cholesterol [LDL-C], high-density lipoprotein cholesterol [HDL-C], triglycerides) with time to first pneumonia hospitalization. Results A total of 1969 (14.61%) participants had a pneumonia hospitalization during a median follow-up time of 21.5 years. The hazard ratio (HR) for pneumonia hospitalization was 0.90 (95% confidence interval, 0.87-0.92) for every 10-mg/dL increase in baseline HDL-C, and 1.02 (95% confidence interval, 1.02-1.03) for every 10-mg/dL increase in baseline triglycerides. HDL-C and triglycerides both remained significant predictors of pneumonia hospitalization after multivariable adjustment. Such associations were not seen with baseline LDL-C or total cholesterol levels. Conclusion Lower baseline HDL-C and higher triglyceride levels were strongly associated with increased risk of long-term pneumonia hospitalization in a large longitudinal US cohort.

Background and aimsTo evaluate changes in the high-density lipoprotein (HDL) proteome and HDL function in active rheumatoid arthritis (RA) patients initiating therapy with abatacept or adalimumab in the Abatacept Versus Adalimumab Comparison in Biologic-Naïve RA Subjects with Background Methotrexate (AMPLE) study.MethodsUltra high-pressure liquid chromatography (UHPLC) coupled with ion mobility mass spectrometry (LC-IM-MS) was used to analyze proteins associated with immunoaffinity-captured HDL from plasma of 30 patients with RA randomized to either abatacept (n = 15) or adalimumab (n = 15) therapy. Paraoxonase 1 (PON1) activity, HDL anti-oxidant capacity, cholesterol profiles, and homocysteine levels were also measured at baseline and following treatment. Repeated-measures analyses were performed using mixed-effect linear models to model the within-subject covariance over time.ResultsIn models controlling for age, sex and treatment group, improvement in inflammation measured by decreases in CRP was associated with improvement in HDL function and changes in several HDL-associated proteins including significant decreases in lipopolysaccharide-binding protein, serum amyloid A-I (SAA-I) and inter-alpha-trypsin inhibitor heavy chain H4 (p values