Article Text

Download PDFPDF

To switch or not to switch: results of a nationwide guideline of mandatory switching from originator to biosimilar etanercept. One-year treatment outcomes in 2061 patients with inflammatory arthritis from the DANBIO registry
  1. Bente Glintborg1,2,
  2. Anne Gitte Loft3,4,
  3. Emina Omerovic5,
  4. Oliver Hendricks6,
  5. Asta Linauskas7,
  6. Jakob Espesen8,
  7. Kamilla Danebod2,
  8. Dorte Vendelbo Jensen2,
  9. Henrik Nordin9,
  10. Emil Barner Dalgaard10,
  11. Stavros Chrysidis11,
  12. Salome Kristensen12,
  13. Johnny Lillelund Raun13,
  14. Hanne Lindegaard14,
  15. Natalia Manilo15,
  16. Susanne Højmark Jakobsen16,
  17. Inger Marie Jensen Hansen16,
  18. Dorte Dalsgaard Pedersen17,
  19. Inge Juul Sørensen18,19,
  20. Lis Smedegaard Andersen20,
  21. Jolanta Grydehøj21,
  22. Frank Mehnert22,
  23. Niels Steen Krogh23,
  24. Merete Lund Hetland18,19
  1. 1 The DANBIO registry and Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Glostrup, Denmark
  2. 2 Department of Rheumatology, Gentofte and Herlev Hospital, Copenhagen University Hospital, Gentofte, Denmark
  3. 3 Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
  4. 4 Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
  5. 5 Department of Rheumatology, Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Copenhagen University Hospital, Glostrup, Denmark
  6. 6 Kong Christian X’s Gigthospital, Gråsten, Denmark
  7. 7 Department of Rheumatology, North Denmark Regional Hospital, Hjørring, Denmark
  8. 8 Department of Rheumatology, Vejle Hospital Lillebælt, Vejle, Denmark
  9. 9 Department of Rheumatology, Zealand University Hospital, Køge, Denmark
  10. 10 Department of Rheumatology, Silkeborg Hospital, Silkeborg, Denmark
  11. 11 Department of Rheumatology, Esbjerg Hospital, Esbjerg, Denmark
  12. 12 Department of Rheumatology, Aalborg University Hospital, Aalborg, Denmark
  13. 13 Department of Rheumatology, Sygehus Lillebælt, Fredericia, Kolding, Denmark
  14. 14 Department of Rheumatology, Odense University Hospital, Odense, Denmark
  15. 15 Department of Rheumatology, Frederiksberg Hospital, Copenhagen, Denmark
  16. 16 Department of Rheumatology, OUH, Svendborg Hospital, Svendborg, Denmark
  17. 17 Department of Rheumatology, Viborg Hospital, Viborg, Denmark
  18. 18 Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
  19. 19 The DANBIO registry and COPECARE, Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Copenhagen University Hospital, Glostrup, Denmark
  20. 20 Department of Internal Medicine, Rønne Hospital, Rønne, Denmark
  21. 21 Department of Rheumatology, Holstebro hospital, Holstebro, Denmark
  22. 22 Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
  23. 23 Zitelab Aps, Copenhagen, Denmark
  1. Correspondence to Dr Bente Glintborg, The DANBIO registry, Rigshospitalet, and Department of Rheumatology, Gentofte and Herlev University Hospital, Hellerup 2730, Denmark; glintborg{at}


Objectives Real-world evidence on effectiveness of switching to biosimila r etanercept is scarce. In Denmark, a nationwide guideline of mandatory switch from 50 mg originator (ETA) to biosimilar (SB4) etanercept was issued for patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA) and axial spondyloarthritis (AxSpA) in 2016. Clinical characteristics and treatment outcomes were studied in ETA-treated patients, who switched to SB4 (switchers) or maintained ETA (non-switchers). Retention rates were compared with that of a historic cohort of ETA-treated patients. Switchers who resumed ETA treatment (back-switchers) were characterised.

Methods Observational cohort study based on the DANBIO registry. Treatment retention was explored by Kaplan-Meier plots and Cox regression (crude, adjusted).

Results 1621 (79%) of 2061 ETA-treated patients switched to SB4. Disease activity was unchanged 3 months’ preswitch/postswitch. Non-switchers often received 25 mg ETA (ETA 25 mg pens/syringes and powder solution were still available). One-year adjusted retention rates were: non-switchers: 77% (95% CI: 72% to 82%)/switchers: 83% (79% to 87%)/historic cohort: 90% (88% to 92%). Patients not in remission had lower retention rates than patients in remission, both in switchers (crude HR 1.7 (1.3 to 2.2)) and non-switchers (2.4 (1.7 to 3.6)). During follow-up, 120 patients (7% of switchers) back-switched to ETA. Back-switchers’ clinical characteristics were similar to switchers, and reasons for SB4 withdrawal were mainly subjective.

Conclusion Seventy-nine per cent of patients switched from ETA to SB4. After 1 year, adjusted treatment retention rates were lower in switchers versus the historic ETA cohort, but higher than in non-switchers. Withdrawal was more common in patients not in remission. The results suggest that switch outcomes in routine care are affected by patient-related factors and non-specific drug effects.

  • DMARDs (biologic)
  • epidemiology
  • anti-TNF
  • outcomes research

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Key messages

What is already known about this subject?

  • Real-world evidence on effectiveness of switching from originator to biosimilar etanercept in inflammatory arthritis is scarce.

What does this study add?

  • Despite national mandatory guidelines, ≈20% of Danish patients treated with originator etanercept did not switch to biosimilar SB4.

  • Baseline characteristics differed among patients who switched (switchers) and patients who maintained treatment (non-switchers).

  • Adjusted treatment retention rates were lower in switchers than in a historic cohort, but higher than in non-switchers.

  • Withdrawal was more common in patients not in remission.

How might this impact on clinical practice?

  • Switch outcomes in routine care seem affected by patient-related factors and non-specific drug effects.

With the marketing of the first biosimilar disease-modifying antirheumatic drugs (bDMARDs) a new era has started, in which effective treatment of inflammatory arthritis at lower costs can be expected.1 2 A biosimilar must have equivalent efficacy and comparable safety to its reference product, and an immunogenicity not greater than that of its reference product.3

In 2015, the first biosimilar etanercept (SB4), was approved in Europe.3–5 At the time of marketing, SB4 had only been tested in patients with rheumatoid arthritis (RA).6 However, SB4 is also prescribed in for example, psoriatic arthritis (PsA) and axial spondyloarthritis (AxSpA), corresponding to the approved indications of the originator drug.7 8 This is theoretically of importance since age, genetics, comedication with conventional synthetic DMARDs and drug dose differ across diseases and may affect immunogenicity, pharmacokinetics and dynamics.5 9–11 Furthermore, patients included in randomised controlled trials (RCTs) differ from patients treated in routine care who are often older, have more comorbidities or atypical disease presentation.12 Thus, real-world evidence through postmarketing monitoring of safety across indications and long-term effectiveness outcomes in nationwide registries with prospective follow-up in routine care is a valuable supplement to RCTs.13–15

A Danish national guideline issued in April 2016 stated that all patients with inflammatory arthritis treated with originator etanercept (ETA) (Enbrel) must switch to SB4 (Benepali, 50 mg subcutaneous) for economic reasons.16 On marketing in Denmark, 50 mg SB4 costed 49% less than ETA. Based on data from the nationwide DANBIO registry, we have previously reported outcomes after a similar non-medical switch from originator to biosimilar infliximab (CT-P13) performed the previous year in 802 patients with arthritis.17 Switch outcomes for the two biosimilars might differ due to different active substances (monoclonal antibodies vs receptor fusion protein) and increasing experience with, and confidence in, the use of biosimilars in patients and community over time. Furthermore, different administration routes (intravenous vs subcutaneous) might affect pharmacokinetics and healthcare behaviour (treatment given in hospital vs at home, close vs scarce contact to healthcare personnel), and for a subcutaneously administered biosimilar, the injection device might differ from the reference product. Finally, at the time of marketing of the biosimilars in Denmark, originator ETA was still available (25 mg syringes/pens, 50 mg powder solution), whereas originator infliximab was unavailable. Knowledge on real-world switching from ETA to SB4 is scarce.18–20

The aims of this nationwide, observational study were to investigate in ETA-treated patients (1) the proportions of patients who switched to SB4 (switchers) or maintained ETA treatment (non-switchers). Furthermore to investigate in switchers: (2) 3 months’ disease activity before/after switching, (3) reasons for withdrawal, safety events and patient characteristics associated with withdrawal, (4) frequency, characteristics and outcomes of switch patients who resumed ETA (back-switchers) and to compare in switchers and non-switchers: (5) the 1-year retention rates with that of a historic cohort of ETA-treated patients. Finally, we aimed to characterise non-switchers including reasons for withdrawal.


DANBIO covers >95% of adults with rheumatic diseases treated in routine care with bDMARDs.21 22 According to national treatment guidelines, disease activity and outcomes are monitored 1–2 times annually, and when medication is changed.21 The current study was approved by the Data Protection Agency (RH-2015–209, I-Suite 04145). In Denmark, registry research neither requires patient consent nor ethical approval.

Patients with RA, PsA and AxSpA treated with ETA by 1 April 2016 were identified in DANBIO. The following cohorts were defined: switchers: patients who switched from ETA to SB4 between 1 April 2016 and 1 January 2017. A time gap of 0–90 days between stop of ETA and start of SB4 was allowed to comply with differences in registration practice. Non-switchers: the group of ETA-treated patients who did not switch to SB4 during follow-up. Back-switchers: switchers, who stopped SB4 and resumed treatment with ETA during follow-up. Furthermore, a historic comparison cohort of ETA-treated patients by 1 January 2015 was identified in DANBIO.

Eighteen of 23 departments of rheumatology in Denmark accepted to validate DANBIO data regarding switch date, disease activity and reasons for SB4 withdrawal. Thus, 84% of included treatment series were validated. Data were censored by 28 August 2017. The data collection in DANBIO has been described previously.21 For switchers, the index date (baseline) was the date of switch to SB4 from ETA. For non-switchers, the index date was 1 April 2016 and for the historic cohort 1 January first 2015.

Through linkage by social security numbers, comorbidities (Charlson Comorbidity Index, excluding musculoskeletal comorbidity)23 from index date and 10 years back were identified in the Danish National Patient Registry, which has complete data regarding hospitalisations and outpatient care.24 Vital status was obtained from the Danish Civil Registry.


Descriptive data are presented by medians (IQR) or as numbers (percentages) for discrete data. Non-parametric statistics were used for comparisons of patient characteristics (Χ2 or Mann-Whitney tests as appropriate). Unless otherwise stated, analyses were based on available data with no imputation of missing data.

In switchers, disease activity 3 months before switch (preswitch), at the time of switch, after 3 months (postswitch) and changes over time (∆preswitch and ∆postswitch) were calculated in each patient. Predefined time windows were applied for measures of disease activity. Missing data at the 3 months’ visit was imputed with the 6 months’ visit. For patients who withdrew ≤3 months postswitch (n=105), data from the latest registered visit after baseline were carried forward. Disease flare in patients with RA and PsA was defined as (1) changes in 28-joint Disease Activity Score (DAS28) ≥0.6 and (2) ∆DAS28 ≥1.2. In AxSpA, ∆(Ankylosing Spondylitis)ASAS Disease Activity Score (ASDAS) ≥1.1 was considered a flare. Remission was defined as DAS28 <2.6 and ASDAS <1.3, respectively.

Retention rate was the proportion of patients who maintained the same drug in a given time period. Retention rates (=drug survival) in switchers, non-switchers, and the historic cohort was explored with Kaplan-Meier plots and log rank tests. Multiple Cox proportional hazards regression analyses and HRs stratified by indication (RA/PsA/AxSpA) were conducted to estimate withdrawal rates adjusted for clinically relevant baseline variables. Comparisons were performed as two sets of analyses: switchers versus the historic cohort and switchers versus non-switchers. The following baseline variables were included: age, gender, methotrexate (MTX) (yes/no), comorbidities (0/≥1), remission (yes/no) and ETA start year (1998–2010/2011–2016). Similarly, adjusted 1-year retention rates with 95% CI were calculated. In the comparison of switchers versus the historic cohort, robust variance calculation was applied to account for repeated subjects with left truncation of events (1 January 2015), and all observations were censored after 1 year. Baseline data were complete for all covariates except remission status, which was available in 79% of switchers, 92% of non-switchers and 91% of patients in the historic cohort.

Since remission status was closely associated with patient’s global score (PGS), additional multiple Cox regression analyses were performed for sensitivity, in which remission status (yes/no) was replaced by PGS (categorical: ≤30 mm/>30 mm).

For back-switchers, disease activity at the SB4 index date and at the time of back-switching to ETA were compared, and changes (=delta values) were calculated in each patient. Delta values were reported as medians (IQR) stratified by indication (RA/PsA/AxSpA). Baseline characteristics of back-switchers (gender, age, PGS, swollen joint count (RA, PsA), C reactive protein) were compared with the rest of the switch population.

Statistical analyses were performed by SPSS (V.22) and SAS (V.9.4). P values <0.05 were considered statistically significant.


Among 2183 ETA-treated patients identified in DANBIO, 2061 patients were included of which 1621 (79%) switched to SB4 (see online supplementary figure 1, table 1). In 49% of switchers, ETA was the first bDMARD, and prior to switching 99% received 50 mg and 1% 25 mg ETA doses. In non-switchers, ETA was the first bDMARD in 41%, and prior to the index date 34% received 25 mg ETA doses (55% twice weekly, 31% once weekly, 14% unknown or other intervals).

Table 1

Baseline demographics in patients who switched from originator etanercept (ETA) to biosimilar etanercept (SB4) and in patients who maintained ETA treatment (non-switchers) stratified by indication. One-year treatment retention and reasons for withdrawal are also shown

Baseline characteristics of switchers and non-switchers

Among patients with RA, AxSpA and PsA, 77%, 77% and 86%, respectively switched to SB4 (table 1). Switchers more frequently received concomitant MTX than non-switchers (in RA and PsA), whereas gender and age distributions stratified by indication were similar (table 1). Switchers had longer previous ETA treatment duration and fewer previous bDMARDs compared with non-switchers. At baseline, switchers with RA had lower disease activity than non-switchers. A similar pattern was observed for PsA (mainly for the subjective measures PGS, PASS) and AxSpA (table 1). Available data are shown in online supplementary table S1. The percentage of patients with available data regarding baseline remission status was 71% for switchers and 90% for non-switchers.

Outcomes in switchers and non-switchers

In switchers, disease activity and flare rates 3 months preswitch versus postswitch were similar with no clinically relevant differences (table 2). For RA and PsA, two different definitions of disease flare were applied (table 2).

Table 2

Disease activity 3 months prior to vs 3 months after the switch from ETA to SB4 stratified by indication

During follow-up (median 401 days (IQR: 336 to 443 days), 299 switchers (18%) and 145 non-switchers (33%) withdrew from treatment with SB4 and ETA, respectively. In both patient groups, lack of effect was the most common reason for withdrawal (table 3). In switchers, adverse events were mainly unspecific, and no major safety signals were observed (table 3).

Table 3

Reason for withdrawal in switchers and non-switchers

Among switchers, the SB4 retention rate was lower in patients with RA (figure 1A), in patients who had started ETA treatment during the later years (overall, figure 1B, and stratified by indication, not shown) and in patients not in remission at the time of switching (overall, figure 1C, HR 1.7 (95% CI 1.3 to 2.2) and stratified by indication, not shown). Similarly, in the cohort of non-switchers, retention rate was lower in patients not in remission (HR 2.4 (1.7 to 3.6)) and in patients who started treatment during the later years, and withdrawal was more frequent in PsA (all p<0.01, not shown).

Figure 1

Kaplan-Meier plots of crude treatment retention rates among SB4 switch patients. (A) Stratified by indication. (B) Stratified by start year of ETA treatment (all indications) (. (C) Stratified by baseline remission (all indications). (D) Compared with non-switchers and a historic ETA cohort (all indications). Percentages are 1-year treatment retention (95% CI). AxSpA, axial spondyloarthritis; ETA, originator etanercept; PsA, psoriatic arthritis; RA, rheumatoid arthritis; SB4, biosimilar etanercept.

When comparing retention rates in switchers with non-switchers stratified by indication, switchers were less likely to withdraw from treatment than non-switchers (crude HR for withdrawal ranging from 0.42 to 0.89, most pronounced in RA and PsA) (table 4). In adjusted analyses, switch status was no longer statistically significant (table 4). Similar results were found in sensitivity analyses replacing remission status with PGS (≤30 mm/>30 mm) as baseline covariate (not shown).

Table 4

Treatment retention in (A) switchers vs non-switchers and (B) switchers vs historic cohort. Results from univariable and multivariable Cox regression analysis (HR, with 95% CI) stratified by indication

Switchers versus historic cohort, one-year retention rates

A historic cohort of patients treated with ETA by 1 January 2015 was identified in DANBIO (n=2363). The percentage of patients from the cohorts of switchers, non-switchers and back-switchers that were also included in the historic cohort were 94%, 86% and 100%, respectively. Furthermore, 376 patients were only in the historic cohort and were not included in the switch/non-switch cohorts. The baseline demographics of the historic and the switch cohort were similar (see online supplementary table S2). The 1-year crude retention rate was lower in switchers (82% (95%CI: 79% to 83%)) than in the historic cohort (88% (87% to 90%)) but better than in non-switchers (70% (66% to 74%)) (figure 1D). The corresponding 1-year adjusted retention rates were 83% (79% to 87%)) in switchers, 90% (88% to 92%)) in the historic cohort and 77% (72% to 82%)) in non-switchers. In adjusted analysis of treatment withdrawal in switchers compared with the historic cohort, switch status remained significant (table 4). Similar results were found in sensitivity analyses replacing PGS with remission status as baseline covariate (not shown).

Frequency and outcomes of back-switching

During follow-up, the 299 switchers, who had withdrawn SB4 therapy, either commenced treatment with another bDMARD (n=104), switched back to ETA (n=120), died (n=9), were lost to follow-up (n=1) or did not restart bDMARDs (n=65) (see online supplementary table S2).

Among the 120/1641 switchers (7%) who withdrew from treatment with SB4 and switched back to ETA, the main reason for SB4 withdrawal was lack of effect (table 5). Baseline characteristics were similar in back-switchers and the rest of the switch population (all p>0.05). Changes in disease activity at the time of ETA restart compared with SB4 index date were mainly observed for PGS whereas changes in CRP and swollen joint counts were close to zero (table 5). The SB4 treatment duration before back-switching to ETA was median 120 (IQR 73 to 193) days, and the time interval between stop of SB4 and restart of ETA was 1 (1–1) days. At the time of censoring, 104 of 120 back-switchers (87%) were still treated with ETA with median treatment duration of 236 (155 to 302) days.

Table 5

ETA-SB4-ETA back-switchers (n=120). Characteristics at the start of SB4, reasons for SB4 withdrawal and changes in disease activity among withdrawals due to LOE


In the current study, treatment outcomes of a nationwide guideline with mandatory switching from ETA to SB4 were investigated in 2061 patients of whom 79% switched to biosimilar SB4. The 21% non-switchers less frequently had PsA and tended to have higher disease activity than the switchers and received concomitant MTX less frequently (in patients with PsA and RA). Some non-switchers received the 25 mg ETA dose, which was still available. Regarding treatment outcomes, this study showed mixed results. On one hand, the disease activity among switchers was stable 3 months before and after the switch. On the other hand, the 1-year SB4 retention rate was lower than that of a historic ETA cohort. However, the non-switch cohort had even higher withdrawal rate. Our study indicates that patient-related factors, for example, being in remission or not, rather than drug (originator or biosimilar) were important for the decision to withdraw treatment. A subgroup of SB4-treated patients switched back to ETA. They had no distinct clinical or disease characteristics at the start of SB4, and reasons for back-switching appeared to be of a more subjective rather than objective nature.

According to recent European League Against Rheumatism (EULAR) recommendations, biosimilars should be included in the treatment algorithm on equal terms as the originator drugs.25 However, regarding non-medical switching (ie, switching for economic reasons in patients who are receiving treatment with the originator drug), recommendations are less clear.1 A recent task force concluded that a single switch from a bio-originator to one of its biosimilars is safe and effective8—a recommendation that has been debated by others.15 Currently, the use of biosimilars and switch procedures in routine care vary substantially across countries.26–28

Experience regarding real-world use of biosimilar drugs is needed as a supplement to RCTs.8 15 28 29 Thus, RCTs mainly report outcomes in highly selected and often bDMARD naïve patients with short follow-up,6 whereas observational studies provide data in large unselected patient -groups that may be switchers from other bDMARDs and with the opportunity of long follow-up. To our knowledge, this study is the largest to explore outcomes of a non-medical switch from originator ETA to SB4 in routine care.18–20 30 We observed no new major safety events for SB4. The efficacy and safety profile of switching from ETA to SB4 has been demonstrated in one RCT of patients with moderate–severe RA despite previous MTX treatment6 31 where a subgroup of patients initially randomised to ETA treatment (n=119) after 1 year switched to SB4 in an open label design.4 The authors reported no excess risk and comparable efficacy, safety and immunogenicity in the switch group compared with patients who continued treatment with SB4.4 Previous observational studies (abstracts only) have, similar to our findings, reported stable disease activity 6 months after switching19 (147 patients) and a 6 months’ SB4 withdrawal rate of 9%–10% (in two cohorts of 92 and 642 patients, respectively).18 20

Although the Danish guideline that preceded the current study stated that the switch was mandatory, 21% remained on ETA treatment in contrast to a previous mandatory switch to biosimilar infliximab.17 The originator drug was still available (as 25 mg syringe/pen or as 50 mg powder solution) which may partly explain why one in five patients did not switch. Most non-switchers received 50 mg ETA. Patient-related factors, for example, more comorbidities (indicated by more deaths, infections and cancers during follow-up), and higher disease activity in non-switchers might have contributed to non-switch. Thus, the study results are likely biassed by the fact that the final outcomes (drug retention, remission status, etc) were influenced by the patient’s and physician’s choice to comply with the guideline (and agreed in switching) or refused to do so (and did not switch). An indication for the presence of such bias can be found in the baseline differences between switchers and non-switchers. In that regard, the study results do not represent an unbiased comparison of the effects of switching versus non-switching, and other (patient related) factors than the switching alone may have influenced the outcomes.

Many ETA-treated patients were not in disease remission when they were switched to SB4 and they withdrew more often than patients who were in remission. We have previously reported similar results in patients who switched from originator to biosimilar infliximab.17 Interestingly, the same pattern was observed in patients who maintained ETA treatment (non-switchers). This suggests that a switching-to-biosimilar guideline facilitated clinical decision making and withdrawal of ineffective therapy independent of switch status.

The knowledge regarding biosimilar drugs in the general population and patients with chronic diseases is still low.32 Both physicians and patients may be reluctant to use biosimilars.2 33 The nocebo effect (ie, negative expectations towards a given treatment), patient-related factors and subjective health experiences may have influenced the perception of treatment outcomes and adverse events.34–39 The majority of the 120 back-switchers were still treated with ETA on data censoring. However, changes in disease activity and the reported AEs tended to be subjective rather than objective.

The study has strengths and weaknesses. We report nationwide, prospectively collected data in a large cohort of ETA-treated patients treated in routine care which strengthens external validity. Patients acted as their own controls in the evaluation of disease activity before/after switch, and outcomes could be compared with those of both a historic cohort and of a non-switch cohort. However, due to the observational study design, we report associations, not definitive causal relationships. Furthermore, residual confounding may affect results. Data were collected as part of routine care and missing data might bias results. Approximately half of patients contributed consecutive data on changes in disease activity 3 months prior to versus after the switch. Patients in remission are potentially monitored less frequently and the same might apply to frail patients with comorbidities. Data completeness was lower than in a previous publication from DANBIO describing switch from originator to biosimilar infliximab17 and may reflect less frequent monitoring of patients treated with subcutaneous (ie, self-administered) bDMARDs.

In conclusion, we found that a nationwide switch from originator to biosimilar ETA in 1621 patients with inflammatory arthritis had no negative impact on 3 months’ disease activities, and no major safety events were observed. Despite mandatory switch recommendations, one in five ETA-treated patients did not switch. In both patient groups, withdrawal was most common in patients not in remission. These real-world data indicate that switch outcomes in routine care are affected by non-specific drug effects and patient-related factors.


Thanks to all the Danish departments of rheumatology for reporting to the DANBIO registry.



  • Handling editor Josef S Smolen

  • Presented at Results have previously been presented as abstracts at the EULAR European Congress of Rheumatology 2017 (ARD, Vol 76, Suppl 2, p 553) and 2018 (ARD, Vol 77, Suppl, p A595) and the Scandinavian Congress of Rheumatology 2018 (PP66, PP67).

  • Contributors BG, MLH: contributed to the study design. BG, MLH, NSK, FM: contributed to data analyses and interpretation. All authors contributed to data collection and contributed to and approved the final manuscript.

  • Funding The study was partly funded by a grant from Biogen, who had no influence on the study design, analyses, interpretation or the decision to publish the results.

  • Competing interests BG: AbbVie, Biogen, Pfizer, MSD. MLH: Orion, BMS, AbbVie, Biogen, Pfizer, MSD, Celltrion. IMJH: Roche. AGL: AbbVie, MSD, Novartis, Pfizer, Roche, UCB OH: AbbVie, Roche, Novartis. HN: AbbVie, Novartis, Medac. LSA: Pfizer. The remaining authors: none declared.

  • Patient consent Not required.

  • Ethics approval Observational registry.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement No additional unpublished data are available.