OP0065 INFLIXIMAB BIOSIMILAR-TO-BIOSIMILAR SWITCHING IN PATIENTS WITH INFLAMMATORY RHEUMATIC DISEASES: CLINICAL OUTCOMES IN REAL-WORLD PATIENTS FROM THE DANBIO REGISTRY

Background

In routine care, biosimilar-to-biosimilar infliximab switching may occur to save costs (=non-medical switching). Previous studies have investigated the efficacy and safety of switches from originator infliximab to a corresponding biosimilar in patients with inflammatory rheumatic diseases (1). However, the outcomes after switching from one infliximab biosimilar to a second infliximab biosimilar remain scarcely investigated.

Denmark has recently conducted a nationwide mandatory infliximab biosimilar-to-biosimilar switch.

Objectives

To investigate the effectiveness of infliximab biosimilar-to-biosimilar switch (CTP-13 to GP1111) among patients with RA, PsA and AxSpA, including patients who had previously switched from originator (originator-experienced) to CT-P13 as well as patients who were originator-naïve.

Methods

Observational cohort study based on DANBIO registry (for clinical data upon switch =baseline) linked with national patient registries (to identify prior comorbidities). Patients with RA, PsA or AxSpA who performed a biosimilar-to-biosimilar switch from CT-P13 to GP1111 between April 1st 2019 and February 1st 2020 were included. Patient were divided into two groups: originator-naïve and originator-experienced. Main outcomes in the two groups were one-year GP1111 treatment retention (Kaplan Meier “drug survival curves”) and changes in disease activity 4 months before versus 4 months after switch in individual patients. Also, factors associated with GP1111 treatment retention for both groups combined were explored with Cox proportional hazard regression analyses, stratified by diagnosis (univariate-, age-and gender adjusted and fully adjusted). Analyses were adjusted for relevant clinical factors (for details: see Table 1)

Table 1.

Baseline variables associated with GP1111 withdrawal (RA shown below, similar findings for PsA and AxSpA)

UnivariateAge- and gender adjustedMultivariateHR (95% CI)p-valueHR (95% CI)p-valueHR (95%CI)p-valueRAFemale gender0.9 (0.6-1.3)0.4-0.7 (0.5-1.2)0.2Age, years1.0 (0.9-1.0)0.9-1.0 (0.9-1.1)0.6Originator-experienced versus originator naïve to infliximab0.5 (0.3-0.8)0.0020.5 (0.3-0.8)0.0020.4 (0.2-0.9)0.01Methotrexate use, yes0.5 (0.3-0.7)<0.0010.5 (0.3-0.7)<0.0010.6 (0.4-0.9)0.01Comorbidities ≥11.1 (0.7-1.5)0.81.1 (0.7-1.5)0.80.9 (0.6-1.4)0.7In remission (yes)0.4 (0.3-0.6)<0.0010.4 (0.2-0.6)<0.0010.5 (0.3-0.7)<0.001DAS281.7 (1.4-1.9)<0.0011.7 (1.5-1.9)<0.001--Patient global VAS, mm1.0 (1.0-1.1)<0.0011.0 (1.0-1.1)<0.001--

Results

In total, 1,605 patients underwent an infliximab biosimilar-to-biosimilar switch and were included; 1,171 were originator-naïve and 434 were originator-experienced, 685 RA/314 PsA/606 AxSpA, median disease duration was 9 years, 42% were in DAS28/ASDAS remission at the time of switch.

At one year, 83% (95% CI 81-85) of the originator-naive and 92% (95% CI 90-95) of the originator-experienced switchers maintained GP1111 treatment (Figure 1). Changes in disease activity 4 months pre- and post-switch were close to zero for all disease activity measures (e.g. DAS28, ASDAS, VAS pain, not shown).

The risk of GP1111 withdrawal was lower in originator-experienced compared to originator-naïve patients in patients with RA and PsA: HR 0.4 (95% CI 0.2-0.9, p-value 0.01) and HR 0.1 (0.1-0.6, p=0.01), but not significantly for AxSpA 0.56 (0.27-1.13, p=0.1). Across all indications, lower disease activity at baseline (DAS28/ASDAS remission) was associated with higher retention (Table 1).

Conclusion

Biosimilar-to-biosimilar infliximab switch was effective and well-tolerated in >1,500 real-world patients. Retention was higher in originator-experienced switchers and patients, who were in remission at the time of the switch, suggesting retention to be more affected by patient-related than drug-related factors.

References

[1]Glintborg et al, ARD, 2017; 76: 1426–1431

Acknowledgements

We thank departments reporting to the DANBIO registry.

Disclosure of Interests

Hafsah Nabi Grant/research support from: Research grant from Sandoz, who had no influence on the analysis, interpretation and presentation of data., Merete L. Hetland Speakers bureau: Biogen, Celltrion, Janssen Biologics B.V, MSD, Pfizer, Samsung Biopis, Consultant of: Biogen, Celltrion, Janssen Biologics B.V, MSD, Pfizer,

Samsung Biopis, Grant/research support from: AbbVie, Biogen, BMS, Eli Lilly Denmark A/S,

Lundbeck Fond, Pfizer, Roche, Sandoz, Novartis, Anne Gitte Loft Paid instructor for: AbbVie, Eli Lilly Denmark A/S, Janssen- Cilag A/S, MSD, Novartis, Pfizer, UCB, Consultant of: AbbVie, Eli Lilly Denmark A/S, Janssen-Cilag

A/S, MSD, Novartis, Pfizer, UCB, Grant/research support from: Novartis, Oliver Hendricks Speakers bureau: AbbVie, Pfizer, Novartis, Dorte Jensen: None declared, Jens Kristian Pedersen: None declared, Søren Andreas Just: None declared, Kamilla Danebod: None declared, Heidi Lausten Munk: None declared, Salome Kristensen: None declared, Natalia Manilo: None declared, Ada Colic: None declared, Asta Linauskas: None declared, Pia Høger Thygesen: None declared, Louise Brot Christensen: None declared, Maren Høgberget Kalisz: None declared, Niels Lomborg: None declared, Jolanta Grydehøj: None declared, Johnny Raun: None declared, Rabiah Ahmed: None declared, Frank Mehnert: None declared, Niels Steen Krogh: None declared, Bente Glintborg Grant/research support from: BMS, Pfizer, Sandoz.

AB0006 ESTABLISHED RISK LOCI FOR SYSTEMIC LUPUS ERYTHEMATOSUS AT NCF2, STAT4, TNPO3, IRF5 AND ITGAM ASSOCIATE WITH DISTINCT CLINICAL MANIFESTATIONS: A DANISH GENOME-WIDE ASSOCIATION STUDY

Background

Systemic lupus erythematosus (SLE) has been associated with more than 100 genetic loci. This parallels positively to the clinical diversity that is reflected by the classification of SLE.

Objectives

We aimed to investigate associations between disease manifestations of SLE and risk gene variants relevant to Danish subjects of European ancestry.

Methods

We included 427 SLE patients of European ancestry similar to previous reports.[1] We also included 89,699 controls from the Danish Blood Donor Study Genomic Cohort. SLE risk loci in this population were identified by genome-wide association methodology and hereafter correlated to cumulative occurrence of SLE classification items.

Results

Fourteen variants mapped to the following genes: NCF2, STAT4, TNPO3/TPI1P2, IRF5, and ITGAM, were significantly associated (p<5E-8) with SLE.

The five lead variants were associated (p<0.05) with the following manifestations; NCF2: proteinuria and anti-phospholipid antibodies, STAT4: arthritis, serositis, neurologic disorder, lymphopenia, and anti-Smith antibodies, IRF5: seizures and proteinuria, TNPO3: proteinuria, and ITGAM: photosensitivity (Table 2).

Conclusion

Our findings support the future use of select, relevant genetic markers in predicting various SLE phenotypes.

References

[1]Leffers HCB, Troldborg A, Voss A, et al. Smoking associates with distinct clinical phenotypes in patients with systemic lupus erythematosus: a nationwide Danish cross-sectional study. Lupus Sci Med 2021;8(1).

Table 1.

Associations between five SLE risk loci and specific disease manifestations in 427 Danish patients with SLE*.

NCF2STAT4IRF5TNPO3ITGAMrs17849502_Trs7574865_Trs4728142_Ars13239597_Ars11860650_TN (%)Malar rash233 (55%)1.28 (0.84-1.96)0.83 (0.62-1.11)1.01 (0.74-1.38)1.44 (0.97-2.12)1.14 (0.80-1.61)Discoid rash46 (11%)1.49 (0.81-2.73)0.90 (0.56-1.45)1.01 (0.62-1.66)1.16 (0.63-2.12)0.76 (0.42-1.41)Photosensitivity219 (51%)0.96 (0.63-1.46)1.09 (0.81-1.47)0.98 (0.71-1.34)0.84 (0.57-1.25)0.67 (0.47-0.97)Oral ulcers132 (31%)0.96 (0.61-1.50)0.90 (0.65-1.23)0.83 (0.60-1.16)1.30 (0.87-1.96)1.43 (0.99-2.05)Non-erosive Arthritis342 (80%)0.84 (0.52-1.37)1.49 (1.02-2.18)0.93 (0.63-1.36)1.04 (0.64-1.68)1.16 (0.74-1.80)Serositis-Pleuritis124 (29%)0.63 (0.38-1.05)1.38 (1.01-1.89)1.22 (0.87-1.72)0.85 (0.56-1.29)0.84 (0.57-1.24)-Pericarditis72 (17%)0.75 (0.41-1.40)1.35 (0.93-1.96)1.05 (0.70-1.58)1.15 (0.70-1.89)1.09 (0.70-1.72)Persistent proteinuria158 (37%)1.63 (1.07-2.49)1.08 (0.80-1.46)0.68 (0.49-0.94)1.74 (1.16-2.61)1.09 (0.76-1.57)Neurologic disorder-Seizures23 (5%)1.58 (0.75-3.35)1.49 (0.80-2.76)2.10 (1.04-4.25)0.61 (0.26-1.44)0.93 (0.42-2.06)-Psychosis8 (2%)0.76 (0.097-5.87)2.77 (0.94-8.15)0.35 (0.10-1.23)0 (0)2.96 (0.85-10.3)Haematologic disorder-Haemolytic anaemia38 (9%)0.78 (0.34-1.76)1.37 (0.85-2.22)0.75 (0.44-1.29)1.11 (0.57-2.19)1.24 (0.70-2.20)-Leukopenia130 (30%)1.04 (0.67-1.61)1.19 (0.87-1.63)1.00 (0.72-1.39)0.90 (0.60-1.37)0.94 (0.64-1.37)-Lymphopenia228 (53%)0.95 (0.63-1.44)1.35 (1.01-1.81)0.95 (0.70-1.29)1.16 (0.79-1.70)1.09 (0.77-1.54)-Thrombocytopenia102 (24%)1.42 (0.91-2.22)0.84 (0.60-1.18)0.83 (0.58-1.18)1.35 (0.86-2.11)0.91 (0.60-1.37)Immunologic disorder-anti-DNA ab.330 (77%)0.69 (0.44-1.09)1.02 (0.72-1.44)0.94 (0.65-1.35)0.97 (0.62-1.53)1.08 (0.71-1.65)-anti-Smith ab.44 (10%)1.44 (0.79-2.64)1.58 (1.00-2.49)1.23 (0.73-2.07)1.47 (0.80-2.69)1.07 (0.61-1.84)-anti-phospholipid ab.183 (43%)1.63 (1.07-2.49)1.05 (0.79-1.41)0.84 (0.61-1.14)1.14 (0.77-1.68)1.14 (0.80-1.62)

* Logistic regression models for each manifestation included all five lead variants (multivariate) and were adjusted for age and sex

Disclosure of Interests

Henrik Leffers: None declared, David Westergaard: None declared, Saedis Saevarsdottir: None declared, Ingileif Jonsdottir: None declared, Ole Birger Pedersen: None declared, Anne Troldborg: None declared, Anne Voss: None declared, Salome Kristensen: None declared, Jesper Lindhardsen: None declared, Prabhat Kumar: None declared, Asta Linauskas: None declared, Lars Juul: None declared, Niels Steen Krogh: None declared, Bent Deleuran: None declared, Lene Dreyer Speakers bureau: Speakers bureau: Eli Lilly, Galderma and Janssen, Grant/research support from: from BMS outside the present work, Michael Schwinn: None declared, Lise wegner Thørner: None declared, Lotte Hindhede: None declared, Christian Erikstrup: None declared, Henrik Ullum: None declared, Søren Brunak Shareholder of: SB has ownerships in Intomics A/S, Hoba Therapeutics Aps, Novo Nordisk A/S, Lundbeck A/S, Kari Stefansson: None declared, Karina Banasik: None declared, Søren Jacobsen: None declared

AB0202 GENETIC SUSCEPTIBILITY AND PHENOTYPE OF RHEUMATOID ARTHRITIS IN DANISH AND TURKISH PATIENTS

Background:

Previous studies indicate that genetic susceptibility and phenotype of rheumatoid arthritis (RA) differ between the populations.

Objectives:

To compare the clinical, serologic expression and the presence of shared epitopes (SE) of incident RA in two different populations, one from Northern and the other from Southern Europe.

Methods:

Data on incident RA patients fulfilling EULAR/ACR 2010 classifications criteria for RA were collected at Rheumatology Departments in Denmark and Turkey in 2015-2016. Patients were assessed using the same standardized protocol in both populations. SE carrier status were assigned, according to the du Montcel classification based, into six allele groups:S1, S2,S3D,S3PandX, where S2 and S3P are RA risk-enhancing alleles and S1 and S3D are RA protective alleles of the shared epitope(1).

Results:

109 incident RA patients from Denmark and 114 incident RA patients from Turkey were enrolled. Genetic data were available from 87% of the patients.

Table 1.

Characteristics of incident rheumatoid arthritis patients in Denmark and Turkey

Danish patientsn=109Turkish patientsn=114P-valueAge at diagnosis, years60 (49-69)52 (43-64)0.003Female, %64740.12Symptom duration, months7 (4-21)6 (2-22)0.6Smoking status Never smoker, %43440.98 Former smoker, %28310.68 Current smoker, %29250.54VAS pain (0-100 mm)45 (28-66)60 (41-72)0.01VAS fatigue (0-100 mm)51 (29-69)50 (20-70)0.32VAS global, patient (0-100 mm)60 (31-80)60 (41-73)0.77Swollen joint count (0-28)7 (4-11)3 (1-6)<0.00001Tender joint count (0-28)7 (3-11)5 (2-8)0.04HAQ score (0-3)0.75 (0.34-1.25)1.0 (0.25-1.75)0.02DAS284.7 (4.1-5.5)4.3 (3.3-5.2)0.01CRP, mg/l7 (3.0-18.5)8 (3.1-22.6)0.54IgM RF positive, %70660.58ACPA positive, %63750.1

Medians (interquartile range) for continuous variables

VAS – Visual Analog Scale, HAQ - Health Assessment Questionnaire, DAS28 - Disease Activity Score 28 joints, CRP – C-reactive protein, RF – Rheumatoid Factor, ACPA - Anti-Citrullinated Protein Antibodies.

Table 2.

Shared epitope allele carrier frequencies.

AlleleDanish patientsn=98Turkish patientsn=95P-valueS1, % (n)19 (37)22 (42)0,43S2, % (n)26 (51)8 (16)<0,00001S3D, % (n)6 (12)21 (39)0,000029S3P, % (n)27 (52)29 (56)0,52X, % (n)22 (44)19 (37)0,47

We found no associations between the risk-enhancing alleles and the presence of IgM rheumatoid factor or ACPA.

Conclusion:

The Turkish patients were younger and had lower disease activity than Danish at the time of diagnosis. Our study found an enhanced genetic susceptibility to RA in Danish compared to Turkish patients with a higher prevalence of risk-enhancing RA alleles and a lower prevalence of protective alleles.

References:

[1]Tezenas du Montcel S, Michou L, Petit-Teixeira E, Osorio J, Lemaire I, Lasbleiz S, et al. New classification of HLA–DRB1 alleles supports the shared epitope hypothesis of rheumatoid arthritis susceptibility.Arthritis Rheum2005; 52: 1063–8.

Disclosure of Interests:

None declared

Predictive value of a multi-biomarker disease activity score for clinical remission and radiographic progression in patients with early rheumatoid arthritis: a post-hoc study of the OPERA trial

OBJECTIVES

Measurement of serum biomarkers at disease onset may improve prediction of disease course in patients with early rheumatoid arthritis (RA). We evaluated the multi-biomarker disease activity (MBDA) score and early changes in MBDA score for prediction of 28-joint Disease Activity Score based on C-reactive protein (DAS28-CRP) remission and radiographic progression in the double-blinded OPERA trial.

METHOD

Treatment-naïve RA patients (N = 180) with moderate or high DAS28 were randomized to methotrexate (MTX) + adalimumab (n = 89) or MTX + placebo (n = 91) in combination with glucocorticoid injection into swollen joints. X-rays of hands and feet were evaluated at months 0 and 12 (n = 164) by the total Sharp van der Heijde score (TSS). The smallest detectable change (1.8 TSS units) defined radiographic progression (∆TSS ≥ 2). Clinical remission (DAS28-CRP < 2.6) was assessed at baseline and 6 months. MBDA score was determined at 0 and 3 months and tested in a multivariable logistic regression model for predicting DAS28 remission at 6 months and radiographic progression at 1 year.

RESULTS

Baseline MBDA score was independently associated with radiographic progression at 1 year [odds ratio (OR) = 1.03/unit, 95% confidence interval (CI) = 1.01-1.06], and changes in MBDA score from baseline to 3 months with clinical remission at 6 months [OR = 0.98/unit, 95% CI 0.96-1.00). In anti-cyclic citrullinated peptide antibody (anti-CCP)-positive patients, 35 of 89 with high MBDA score (> 44) showed radiographic progression (PPV = 39%), compared with 0 of 15 patients (NPV = 100%) with low/moderate MBDA score (≤ 44) (p = 0.003).

CONCLUSION

Early changes in MBDA score were associated with clinical remission based on DAS28-CRP at 6 months. In anti-CCP-positive patients, a non-high baseline MBDA score (≤ 44) had a clinical value by predicting very low risk of radiographic progression at 12 months.

Hand bone loss in early rheumatoid arthritis during a methotrexate-based treat-to-target strategy with or without adalimumab-a substudy of the optimized treatment algorithm in early RA (OPERA) trial

This study aims to investigate 1-year hand bone loss (HBL_1-year) in early rheumatoid arthritis (RA) patients treated with a methotrexate (MTX) and intra-articular triamcinolone treat-to-target strategy +/- adalimumab and to determine if HBL_6months is associated with radiographic progression after 2 years. In a clinical trial (OPERA) of 180 treatment-naive early RA patients, bone mineral density (BMD) was estimated from hand radiographs with digital X-ray radiogrammetry (DXR) at baseline, after 6 (n = 90) and 12 months (n = 70) of follow-up. Baseline and 2-year radiographs were scored according to the Sharp/van der Heijde method. Baseline characteristics and HBL_6months (0-6 months changes in DXR-BMD) were investigated as predictors of structural damage by univariate linear (∆ total Sharp/van der Heijde score (TSS) as dependent variable) and logistic (+/-radiographic progression (∆TSS >0) as dependent variable) regression analyses. Variables with p < 0.10 were included in multivariable models. In 70 patients with available HBL_1-year data, HBL_1-year was median (interquartile range (IQR)) -1.9 (-3.3; -0.26 mg/cm²) in the MTX + placebo group and -1.8 (-3.6; 0.06) mg/cm² in the MTX + adalimumab group, p = 0.98, Wilcoxon signed-rank. Increased HBL (compared to general population reference values) was found in 26/37 and 23/33 patients in the MTX + placebo and MTX + adalimumab groups, chi-squared = 0.99. In 90 patients with HBL_6months data and 2-year radiographic data, HBL_6months was independently associated with ∆TSS after 2 years (β = -0.086 (95% confidence interval = -0.15; -0.025) TSS unit/mg/cm² increase, p = 0.006) but not with presence of radiographic progression (∆TSS >0) (OR 0.96 (0.92-1.0), p = 0.10). In early RA patients treated with a methotrexate-based treat-to-target strategy, the majority of patients had increased HBL_1-year, irrespective of adalimumab; HBL_6months was independently associated with ∆TSS after 2 years.

Clinical and radiographic outcome of a treat-to-target strategy using methotrexate and intra-articular glucocorticoids with or without adalimumab induction: a 2-year investigator-initiated, double-blinded, randomised, controlled trial (OPERA)

OBJECTIVES

To study clinical and radiographic outcomes after withdrawing 1 year's adalimumab induction therapy for early rheumatoid arthritis (eRA) added to a methotrexate and intra-articular triamcinolone hexacetonide treat-to-target strategy (NCT00660647).

METHODS

Disease-modifying antirheumatic drug (DMARD)-naive patients with eRA started methotrexate (20 mg/week) and intra-articular triamcinolone (20 mg/ml) for 2 years. In addition, they were randomised to receive placebo adalimumab (DMARD group, n=91) or adalimumab (40 mg/every other week) (DMARD+adalimumab group, n=89) during the first year. Sulfasalazine and hydroxychloroquine were added if disease activity persisted after 3 months. During year 2, synthetic DMARDs continued. Adalimumab was (re)initiated if active disease reoccurred. Clinical response, remission, disability, quality of life and radiographic changes were assessed.

RESULTS

One year after adalimumab withdrawal, treatment profiles and clinical responses did not differ between groups. In the DMARD/DMARD+adalimumab groups, the median 2-year methotrexate dose was 20/20 mg/week (p=0.45), triple DMARD therapy had been initiated in 33/27 patients (p=0.49), adalimumab was (re)initiated in 12/12 patients and cumulative triamcinolone dose was 160/120 mg (p=0.15). The treatment target (disease activity score, 4 variables, C-reactive protein (DAS28CRP) ≤3.2 or DAS28>3.2 without swollen joints) was achieved at all visits in ≥85% of patients in year 2; remission rates were DAS28CRP<2.6:69%/66%; Clinical Disease Activity Index ≤2.8:55%/57%; Simplified Disease Activity Index <3.3:54%/49%; American College of Rheumatology/European League against Rheumatism (28 joints):44%/45% (p=0.66-1.00). Radiographic progression (Δtotal Sharp score/year) was similar 1.31/0.53 (p=0.12). Erosive progression (Δerosion score (ES)/year) was year 1:0.57/0.06 (p=0.02); year 2:0.38/0.05 (p=0.005). Proportion of patients without erosive progression (ΔES≤0) was year 1: 59%/76% (p=0.03); year 2:64%/79% (p=0.04).

CONCLUSIONS

An aggressive triamcinolone and synthetic DMARD treat-to-target strategy in eRA provided excellent 2-year clinical and radiographic disease control independent of adalimumab induction therapy. ES progression was slightly less during and following adalimumab induction therapy.

TRIAL REGISTRATION NUMBER

NCT00660647.