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Osteoarthritis
Original research
Development of classification criteria for hand osteoarthritis: comparative analyses of persons with and without hand osteoarthritis
  1. Ida K Haugen1,
  2. David T Felson2,3,
  3. Abhishek Abhishek4,5,
  4. Francis Berenbaum6,
  5. Sita Bierma-Zeinstra7,
  6. Tove Borgen1,8,
  7. Gabriel Herrero Beaumont9,
  8. Mariko Ishimori10,
  9. Helgi Jonsson11,
  10. Féline PB Kroon12,
  11. Emmanuel Maheu13,
  12. Roberta Ramonda14,
  13. Valentin Ritschl15,
  14. Tanja A Stamm15,
  15. Desirée van der Heijde12,
  16. Ruth Wittoek16,
  17. Elsie Greibrokk1,
  18. Wilma Smeets12 and
  19. Margreet Kloppenburg12
  1. 1 Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
  2. 2 Rheumatology Section, Boston University School of Medicine, Boston, Massachusetts, USA
  3. 3 Arthritis Research UK Epidemiology Unit and National Institute for Health Research Biomedical Research Centre, The University of Manchester, Manchester, UK
  4. 4 Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham, UK
  5. 5 Nottingham NIHR-BRC,Nottingham, UK
  6. 6 Department of Rheumatology, Hopital Saint-Antoine,Paris, France
  7. 7 Department of General Practice, Department of Orthopedics, Erasmus Medical Center, Rotterdam, Netherlands
  8. 8 Frysja Medical Practice, Oslo, Norway
  9. 9 Rheumatology, Universidad Autonoma De Madrid, Madrid, Spain
  10. 10 Rheumatology, Cedars-Sinai Medical Center, Los Angeles, California, USA
  11. 11 Rheumatology, Landspitali, Reykjavik, Iceland
  12. 12 Rheumatology, Leiden University Medical Center, Leiden, Netherlands
  13. 13 Faculty of Medicine Pierre & Marie Curie Paris VI, Hopital Saint-Antoine,Paris, France
  14. 14 Rheumatology Unit, Department of Medicine—DIMED, University of Padova School of Medicine and Surgery, Padova, Italy
  15. 15 Section for Outcomes Research, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Wien, Austria
  16. 16 Rheumatology, University Hospital Ghent, Gent, Belgium
  1. Correspondence to Ida K Haugen; ida.haugen{at}diakonsyk.no

Abstract

Objectives Further knowledge about typical hand osteoarthritis (OA) characteristics is needed for the development of new classification criteria for hand OA.

Methods In a cross-sectional multi-centre international study, a convenience sample of patients from primary and secondary/tertiary care with a physician-based hand OA diagnosis (n = 128) were compared with controls with hand complaints due to inflammatory or non-inflammatory conditions (n = 70). We examined whether self-reported, clinical, radiographic and laboratory findings were associated with hand OA using logistic regression analyses. Discrimination between groups was assessed by calculating the area under receiver operating curves (AUC).

Results Strong associations with hand OA were observed for radiographic osteophytes (OR = 1.62, 95% CI 1.40 to 1.88) and joint space narrowing (JSN) (OR = 1.57, 95% CI 1.36 to 1.82) in the distal interphalangeal (DIP) joints with excellent discrimination (AUC = 0.82 for both). For osteophytes and JSN, we found acceptable discrimination between groups in the proximal interphalangeal joints (AUC = 0.77 and 0.78, respectively), but poorer discrimination in the first carpometacarpal joints (AUC = 0.67 and 0.63, respectively). Painful DIP joints were associated with hand OA, but were less able to discriminate between groups (AUC = 0.67). Age and family history of OA were positively associated with hand OA, whereas negative associations were found for pain, stiffness and soft tissue swelling in metacarpophalangeal joints, pain and marginal erosions in wrists, longer morning stiffness, inflammatory biomarkers and autoantibodies.

Conclusions Differences in symptoms, clinical findings, radiographic changes and laboratory tests were found in patients with hand OA versus controls. Radiographic OA features, especially in DIP joints, were best suited to discriminate between groups.

  • Epidemiology
  • MRI
  • Osteoarthritis
  • Outcomes research
  • Ultrasonography
  • Chondrocytes
  • Hand Osteoarthritis
  • Knee Osteoarthritis
  • Chondrocalcinosis
  • Gene Polymorphism
  • Ankylosing Spondylitis
  • Anti-TNF
  • Patient perspective
  • Qualitative research
  • Rehabilitation
  • Spondyloarthritis
http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

https://doi.org/10.1136/rmdopen-2020-001265

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    INTRODUCTION

    Hand osteoarthritis (OA) is currently being classified by the 1990 American College of Rheumatology (ACR) criteria,1 which have important shortcomings that might prevent much-needed insight in hand OA pathogenesis and testing of treatments in clinical trials. Importantly, the criteria are based on clinical examination parameters often with poor reliability without the possibility to classify hand OA based on radiographs. Moreover, they define OA as present almost exclusively based on a combination of affected joints in the 2nd and 3rd fingers and the thumb base. Since the control group in the development of the criteria mainly consisted of persons with rheumatoid arthritis (RA), the criteria are not well suited to classify hand OA in a wider population with rheumatic and musculoskeletal diseases (RMDs). Mainly severe hand OA will be classified by the ACR criteria making them insensitive in the general population. Lastly, all hand OA phenotypes are lumped together, without taking into consideration that different phenotypes could have different pathogenesis or treatment.

    Research on the natural disease course and development of effective treatment options is seriously hampered by the lack of good classification criteria. For example, comparisons of disease incidence and prevalence are difficult. Since different definitions of hand OA are used in clinical trials rather than the ACR criteria, it is challenging to perform systematic reviews or meta-analyses.2 Members of the EULAR taskforce for evidence-based recommendations on hand OA diagnosis ranked the development of new classification criteria as a top research priority.3

    Our aim is to identify features that are associated with hand OA and that can discriminate hand OA and controls in a population with hand complaints as a first step to develop new classification criteria for hand OA overall and different hand OA phenotypes.

    METHODS

    Study design

    We collected data on patients with hand complaints from Europe and North America. Patients were recruited from primary (2 centres) and secondary/tertiary care (10 centres). Physicians recruited patients with hand complaints, which could be due to either hand OA (ranging from mild to severe) or inflammatory and non-inflammatory non-traumatic conditions. Strict numbers of patients within each category were not provided. Patients with unclear causes of their hand complaints were also included. The treating physician made the diagnosis. We aimed for approximately 200 patients in our data set, a number targeted in previous classification criteria efforts.4 The data collection was funded by the EULAR.

    Hand questionnaires

    All patients responded to questions about hand complaints, including symptom duration and duration of morning stiffness in fingers and thumb base joints. On four separate hand diagrams, they marked the hand joints (bilateral 2nd–5th distal interphalangeal (DIP), 1st–5th proximal interphalangeal (PIP), 1st–5th metacarpophalangeal (MCP) and thumb base) that had been painful and stiff during the last 48 hours and on most days the previous 6 weeks. On a whole-body homunculus, they marked the joints (bilateral shoulders, elbows, wrists, hips, knees, ankles and toes) and spine (neck, upper, middle and lower back) that had been painful on most days the previous 6 weeks. All toes in one foot were regarded as one entity. Surgically modified joints were marked on the same diagram. They completed the Australian/Canadian hand index pain (range 0–20), stiffness (range 0–4) and function subscales (range 0–36) and the Functional Index of Hand OA (range 0–30).5 6

    The patients self-reported painful locking of fingers, numbness and tingling in the hands, current/past psoriasis, current/past inflammatory bowel disease, and family history of OA, bony swellings/nodes and psoriasis in first-degree relatives.

    Clinical examination

    A physician or nurse examined all hand joints (bilateral 2nd–5th DIP, 1st–5th PIP, 1st–5th MCP and thumb base) for absence/presence of bony enlargement, pain on pressure and soft tissue swelling. Malalignment was assessed in the DIP, PIP (>15°) and the thumb base joints (squaring). Absence/presence of dactylitis (2nd–5th fingers) and tenosynovitis (2nd–5th fingers and thumb base) were evaluated bilaterally. On the body homunculus, pain on pressure (upper and middle back, bilateral shoulders, elbows, wrists, knees and feet) or movement (neck, lower back, bilateral hips and ankles) was marked. Body weight and height were self-reported or measured. The study personnel had previous experience in joint examination, but no formal training was performed prior to the data collection. No reliability data was available.

    For each patient recruited into the study, the physicians were asked: ‘How likely is it that the hand complaints in this patient are due to hand OA’ on a 0–10 scale (0 = ‘not likely’, 10 = ‘very likely’). For scores 0–7, the physician indicated the cause of complaints on a list with 16 RMDs other than hand OA (response alternatives: ‘no’, ‘unclear’, ‘yes’).

    Hand radiographs

    Bilateral hand radiographs obtained at each centre were de-identified and read centrally by two trained readers (IKH, FK). The central readers have demonstrated excellent inter-reader reliability in a previous clinical trial.7 Bilateral 2nd–5th DIP, 1st–5th PIP, 1st–5th MCP, 1st carpometacarpal (CMC1) and scaphotrapeziotrapezoid (STT) joints were read according to a modified Kellgren-Lawrence scale (grade 0–4).8 All joints were read for osteophytes (grade 0–3) and joint space narrowing (JSN, grade 0–3), and the DIP and PIP joints were also read for central erosions.9 The readers counted the number of joints within three joint groups (PIP, MCP and wrist) with marginal erosions.10

    A trained rheumatologist (MK) adjudicated the scoring of osteophytes and JSN in joints where one central reader scored no pathology and the other central reader scored grade 2–3. Central erosions were adjudicated by MK when the number of DIP or PIP joints with erosions differed by 2 or more. A trained rheumatologist (DvdH) adjudicated the scoring of marginal erosions if the number of marginal erosions in the PIP, MCP or wrist joint groups differed by 2 or more between the central readers.

    We used the average score of the central readers (FK, IKH), except from cases of adjudication, where the adjudicated scores (MK or DvdH) were used.

    Laboratory tests

    Due to feasibility and costs, blood tests were analysed at local laboratories for erythrocyte sedimentation rate (ESR), Creactive protein (CRP), anti-cyclic citrullinated peptide (anti-CCP) and rheumatoid factor (RF) if considered relevant as part of the clinical routine. ESR and CRP could not be treated as continuous variables since the lowest possible measurement differed across laboratories. The values were dichotomised (ESR≥15 mm/hour and CRP≥5 mg/L, respectively) based on the highest observed area under receiver operating curves (AUC) for different cut-off values in our study population. Due to different cut-off values for elevated anti-CCP and RF across laboratories, the autoantibodies were dichotomised based on the provided reference value for each laboratory.

    Patient and public involvement

    Two European patient research partners (EG and WS) were involved in the development of the protocol and the preparations of this manuscript and will also be involved in the future steps of the development of the classification criteria sets.

    Statistical analyses

    Based on the question ‘How likely is it that the hand complaints in this patient are due to hand OA’, we divided the patients into three groups: clearly not OA (score 0–3, ‘control group’), unclear (score 4–6) and clearly OA (score 7–10, ‘hand OA group’). The control and hand OA groups were included in further analyses, whereas the unclear group was excluded from all analyses. We performed a series of logistic regression analyses using hand OA versus controls as the outcome, and self-reported, clinical and imaging data as explanatory variables. Analyses were done with exclusion of missing observations for the respective variable (available case analyses). Receiver operating curves were constructed and AUC was calculated. We defined AUC values of 0.50–0.59, 0.60–0.69, 0.70–0.79 and ≥0.80 as none, poor, acceptable and excellent discrimination, respectively. Statistical analyses were performed using IBM SPSS version 25. Pvalues <0.05 were considered statistically significant.

    Ethical considerations

    Ethical committees in each participating country approved the study. Each patient received written and oral information about the study and gave their written informed consent prior to study entry.

    RESULTS

    We recruited 224 patients, of whom 70 (31.3%) and 128 (57.1%) were in the control and hand OA groups, respectively. We excluded 26 (11.6%) patients from analyses since it was unclear whether their complaints were due to hand OA or not. Most controls (n = 65, 92.9%) and patients with hand OA (n = 123, 96.1%) were recruited from secondary/tertiary care (n = 8 and n = 10 different centers, respectively). The remaining controls and patients with hand OA were recruited from two primary care centres. The hand OA group was older and included more women than the controls. In both groups, the majority had experienced symptoms in their finger joints for more than 6 months. Fewer patients had symptoms in their thumb base (table 1). Online supplementary tables 1–3 provide detailed information about other explanatory variables, including the number of missing variables. Patients in the control group demonstrated a wide range of RMDs (table 2).

    View this table:
    Table 1

    Clinical characteristics of the study population

    View this table:
    Table 2

    Diseases and conditions* that were possible or definite causes of hand complaints in the control group (n = 70) in ranked order from most to least prevalent

    View this table:
    Table 3

    Demographic/clinical variables and self-reported symptoms and their association with hand OA and discriminatory capacity

    Supplemental material

    Demographic/clinical variables and self-reported symptoms

    Female sex, age, family history of OA and bony enlargement were positively associated with hand OA, with best discrimination between hand OA and controls for age and family history of OA (table 3). Despite psoriasis being negatively associated with hand OA, it could not discriminate between groups. No association with hand OA was found for family history of psoriasis or self-reported inflammatory bowel disease (data not shown).

    Finger joint symptoms lasting more than 6 months were positively associated with hand OA, using less than 6 weeks as reference. Since a symptom duration of 6 weeks to 6 months was not associated with hand OA, we dichotomised the variable into ‘6 months or less’ versus ‘more than 6 months’ in subsequent analyses (table 3). No association with hand OA was found for symptom duration in the thumb base joints (data not shown).

    Morning stiffness in the fingers of ≥1 min was present in 88 (68.8%) of patients with hand OA and 53 (75.7%) of controls. Most patients with hand OA with morning stiffness reported that it lasted maximum 30 min (n = 70, 79.5%). The duration of the morning stiffness in fingers and thumb base joints was negatively associated with hand OA with better discrimination for the fingers. Positive and negative associations with hand OA were found for pain on most days the previous 6 weeks in DIP and MCP joints, respectively (table 3). Similar results were found for painful joints during the last 48 hours (although a weakened association in DIP joints) and stiff joints during the previous 48 hours and 6 weeks (data not shown).

    An inverse association between numbness and hand OA was observed, although not statistically significant (table 3). We found no associations with hand OA for tingling or locking of fingers (data not shown). Self-reported pain in elbow(s), wrist(s) and toes on most days the previous 6 weeks was negatively associated with hand OA (table 3). No associations with hand OA were found for self-reported pain or self-reported prostheses of other joints (data not shown).

    Clinical examination features

    The greatest discrimination between hand OA and controls was mostly found for clinical features in the DIP joints (table 4). The number of DIP joints with bony enlargement, pain on pressure and malalignment was positively associated with hand OA. Positive associations with hand OA were also found for these clinical features in the PIP joints (except pain on pressure) and thumb base joints.

    View this table:
    Table 4

    Clinical examination features and their association with hand OA and discriminatory capacity

    Pain on pressure and soft tissue swelling in the MCP joints and pain on palpation of the wrist(s) were negatively associated with hand OA (table 4). No associations with hand OA were found for pain on palpation of other joints, presence of dactylitis or tenosynovitis (data not shown).

    Radiographic and laboratory features

    Radiographic OA features in the DIP joints could better discriminate hand OA and controls than OA features in PIP and CMC1 joints (table 5). Osteophytes in the STT joints were not associated with hand OA and showed no discriminatory capability (data not shown). For JSN in the STT joints, the strength of association was slightly weaker (OR = 1.75, 95% CI 1.16 to 2.65) than for JSN in the CMC1 joints, whereas the AUC value was similar (0.62, 95% CI 0.53 to 0.70). However, among patients with JSN in STT joint(s), the majority also demonstrated JSN in CMC1 joint(s) (47/67, 70.1%).

    View this table:
    Table 5

    Radiographic and laboratory features and their association with hand OA and discriminatory capacity

    Marginal erosions in the wrist(s), elevated CRP, ESR, anti-CCP and RF were negatively associated with hand OA (table 5).

    DISCUSSION

    In the current multi-centre study, we examined different self-reported, clinical, radiographic and laboratory features and their associations with hand OA and discriminatory abilities, as a first step in the development of new classification criteria for hand, finger and thumb base OA.

    Female sex and higher age were associated with hand OA,10 which is in line with previous population-based studies, showing a higher prevalence of hand OA in women, and an increasing prevalence with higher age, especially after the age of 50 years.8 Other RMDs such as RA and fibromyalgia, which were common among our controls, also predominantly affect women.11 12 This is reflected in our results showing that female sex could not discriminate between hand OA and controls. Our hand OA group was almost 10 years older than our controls, and increasing age showed acceptable discrimination between groups. Whereas the ACR criteria for hand OA do not include points for either female sex or higher age,1 the ACR criteria for both knee and hip OA include a criterion of age above 50 years.13 14

    Family history of OA was one of the few self-reported items with acceptable discrimination between the groups. In addition to age and female sex, hereditary factors are well-known risk factors for hand OA.15 Several candidate genes have been identified, each leading to small increases in the risk of hand OA.16

    The observed association between symptom duration and hand OA reflects the chronicity of hand OA as a disease. Nevertheless, the majority of both patients with hand OA and controls had experienced symptoms for more than 6 months, as reflected by the low AUC value. Self-reported pain and pain on pressure in DIP joints were positively associated with hand OA, and positive associations were also observed for pain on pressure in thumb base joints. The involvement of PIP joints also in other diseases such as RA led to no significant associations with hand OA for pain in this joint group and no discrimination. Due to rather high frequency of RA and other inflammatory RMDs among our controls, pain, stiffness and soft tissue swelling in MCP joints and a long duration of morning stiffness were negatively associated with hand OA. In line with these results, the current ACR criteria for hand OA give 1 point to persons with fewer than three swollen MCP joints,1 whereas the ACR criteria for knee OA give 1 point to persons with morning stiffness less than 30 min.14

    Although radiographs are not needed for the diagnosis of hand OA, unless there is doubt about the clinical diagnosis,3 conventional radiographs may be useful in research settings for classification of hand OA. In general, the radiographic features showed better discrimination than the clinical features. Indeed, the number of DIP joints with osteophytes and JSN were the only features with excellent discrimination. In addition to positive associations observed for all radiographic features in the DIP joints and hand OA, associations were also found for radiographic features in the PIP joints and thumb base joints. The weaker associations and lower AUC values, especially in thumb base joints, can be explained by lower OA prevalent in this joint group in our study population leading to lower sensitivity and thus lower AUC values. No statistically significant association and no discrimination was observed for radiographic features in the MCP joints, due to lower prevalence of OA in this joint group. Whereas the hand radiographs were read centrally by two experienced readers and a third adjudicator if needed, the clinical examination was performed locally at each center without specific training or reliability testing. Hence, poorer reliability of the clinical examination may potentially have affected the results.

    No imaging modalities other than radiographs were included in our data collection. Ultrasound may be more sensitive to detect osteophytes than radiographs and clinical examination.17 However, due to more limited data on the validity of ultrasound, radiographs are currently the recommended outcome measure for evaluation of structural hand OA pathologies.18 Further, most large population-based OA studies have obtained hand radiographs of their participants and have not used ultrasound.8 19 20 MRI is not feasible in large studies due to high costs. Studies of knees have suggested that MRI findings of OA are so common as to not distinguish well between those with OA and those without it,21 and we suspect the same is true for hand OA.

    In contrast to inflammatory RMDs, OA is less often associated with systemic inflammation. Both elevated ESR and CRP were negatively associated with hand OA with similar ability to discriminate between persons with hand OA and controls. Although ESR is often criticised for being dependent on age, sex, weight and comorbidities, the ACR clinical and laboratory criteria for knee OA and the ACR criteria for hip OA include ESR using cut-offs of less than 45 and less than 20 mm/hour, respectively.13 14 As expected, we found negative associations with hand OA for anti-CCP and RF. The extra costs and the invasive nature of blood tests raise questions about the usefulness of including laboratory markers in new classification criteria for hand OA. Biomarkers of bone or cartilage may ultimately prove useful in classifying hand OA, but would not be feasible currently.

    The advantage of the current data collection is the broad range of hand OA symptoms and disease severity due to inclusion of patients from both primary and secondary/tertiary care from multiple countries in two continents. With the inclusion of persons with non-inflammatory conditions among our controls, we believe that our future criteria will be more useful in population-based studies, where non-inflammatory RMDs predominate as causes of hand complaints rather than systemic inflammatory RMDs. Our study population had a diverse range of conditions in contrast to the control population that was used in the development of the ACR criteria for hand OA where all controls, except two (2.0%), had an inflammatory joint disease.1 Psoriatic arthritis is an important differential diagnosis that might be difficult to distinguish from hand OA that coexists with psoriasis. Relatively few patients with psoriatic arthritis were included in the control group and several patients with hand OA had psoriasis, which may explain why psoriasis could not well differentiate between hand OA and controls.

    The low AUC values for most features suggest that one single feature is not enough to classify hand OA, but the classification criteria should include a set of different features. In the next step, an expert panel will agree upon a set of features that will be tested in a decision analytic software (www.1000minds.com), based on the results from the current study and expert opinions. In these exercises, the 1000Minds software will be used to force experts to choose cases more likely to have OA based on diagnostic features (ie, criteria) and then the software will be used to rank the criteria according to their importance. Based on the results from the current study, which is solely data-driven, and the results from the 1000Minds exercises, which are based on expert opinions, our final criteria set will be determined.

    Our analyses focus on the associations with hand OA overall. Since the physicians were not asked whether the patients’ complaints were due to interphalangeal OA or thumb base OA specifically, we were not able to look at these phenotypes separately. We are aiming for three separate criteria sets, including hand OA overall, interphalangeal OA and thumb base OA, and the importance of the potential criteria identified in these analyses will, therefore, be studied for the three groups separately in the next steps.

    In conclusion, a comparison of patients with hand OA and controls was performed as a first step in the development of classification criteria for hand, finger and thumb base OA. Patients with hand OA and controls demonstrated differences with regard to symptoms, clinical findings, radiographic changes and laboratory tests results with best discrimination observed for the radiographic features. Additional exercises to determine the weight of the different features are needed before the new classification criteria for hand OA can be launched.

    Key messages

    What is already known about this study?

    • Current hand OA classification criteria are unable to classify persons with hand OA based on radiographic findings, and they are hampered by being insensitive to classify hand OA in the general population.

    What does this study add?

    • Our study shows that radiographic findings, especially in the DIP joints, demonstrate better discrimination between hand OA and controls than features by clinical examination.

    • Among self-reported symptoms, best discrimination between hand OA and controls was found for pain on most days the previous 6 weeks in the DIP joints.

    How might this impact on clinical practice?

    • Identification of typical hand OA features is needed before new classification criteria can be developed and tested in decision analytic software.

    • Widespread use of new classification criteria will enable comparisons of disease prevalent and incidence across observational studies and testing of treatments in clinical trials.

    Acknowledgments

    We thank the patients, study nurses and physicians who were involved in the data collection.

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    Footnotes

    • Twitter None.

    • Contributors All coauthors had substantial contributions to the conception or design of the work, or the acquisition, analysis or interpretation of data. IKH drafted the paper, and all coauthors revised it critically for important intellectual content and gave their final approval of the version published.

    • Funding The project on the development of new classification criteria for hand OA is funded by EULAR. The EULAR executive committee has not been involved in the study design, analyses or interpretation of results.

    • Competing interests Ida K. Haugen reports a research grant from Pfizer, outside the submitted work. Francis Berenbaum reports personal fees from Boehringer, Bone Therapeutics, Expanscience, Galapagos, Gilead, GSK, Merck Sereno, MSD, Nordic, Novartis, Pfizer, Regulaxis, Roche, Sandoz, Sanofi, Servier, UCB, Peptinov, TRB Chemedica, 4P Pharma, outside the submitted work. Sita Bierma-Zeinstra reports grants from The Netherlands Organisation for Health Research and Development, CZ, European Union, Foreum, Dutch Arthritis Association, personal fees from Infirst healthcare, Pfizer and Osteoarthritis and Cartilage, outside the submitted work. Emmanuel Maheu reports personal fees from Expanscience, Mylan-Meda, TRB Chemedica, Pierre Fabre, Celgène and Fidia, and non-financial support from Pfizer, outside the submitted work. Roberta Ramonda reports honoraria for speaking engagements and for Advisory Board from Abbvie, Celgene, Novartis, Pfizer and Lilly. Tanja Stamm received speaker fees from Sanofi, AbbVie and Roche. Désirée van der Heijde reports personal fees from AbbVie, personal fees from Amgen, personal fees from Astellas, personal fees from AstraZeneca, personal fees from BMS, personal fees from Boehringer Ingelheim, personal fees from Celgene, personal fees from Cyxone, personal fees from Daichii, personal fees from Eisai, personal fees from Elly-Lilly, personal fees from Galapagos, personal fees from Gilead, personal fees from GSK, personal fees from Janssen, personal fees from Merck, personal fees from Novartis, personal fees from Pfizer, personal fees from Regeneron, personal fees from Roche, personal fees from Sanofi, personal fees from Takeda, personal fees from UCB Pharma, outside the submitted work; and Director Imaging Rheumatology BV. Ruth Wittoek reports personal fees from Abbvie, personal fees from Galapagos, personal fees from UCB, personal fees from Bristol Myers Squib, personal fees from Tilman, grants from Amgen, outside the submitted work. Margreet Kloppenburg reports grants from European League Against Rheumatism during the conduct of the study, fee for consultancy (Abbvie, Pfizer, Levicept, GlaxoSmithKline, Merck-Serono, Kiniksa, Flexion) and local investigator of industry-driven trial (Abbvie), other from Dutch Society of Rheumatology, Wolters Kluwer (UptoDate) and Springer Verlag (Reumatologie en klinische immunologie), grants from Pfizer, outside the submitted work. David Felson, Abhishek Abhishek, Tove Borgen, Gabriel Herrero-Beaumont, Mariko L. Ishimori, Helgi Jonsson, Féline P.B. Kroon, Valentin Ritschl, Elsie Greibrokk and Wilma Smeets have no conflicts of interest.

    • Patient consent for publication Consent obtained directly from patient(s).

    • Data sharing statement Data are available upon reasonable request.

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