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van der Leeuw MS, Tekstra J, van Laar JM, Welsing PMJ. Concomitant prednisone may alleviate methotrexate side-effects in rheumatoid arthritis patients. BMC Rheumatol 2023; 7:8. [PMID: 37198659 DOI: 10.1186/s41927-023-00331-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 04/03/2023] [Indexed: 05/19/2023] Open
Abstract
OBJECTIVES To evaluate whether addition of low-moderate dose prednisone to methotrexate (MTX) treatment can alleviate common MTX side-effects in rheumatoid arthritis (RA) patients. METHODS We performed a post-hoc analysis of the CAMERA-II trial which randomized (1:1) 236 early DMARD and prednisone naive RA patients to treatment with MTX + prednisone 10 mg daily, or MTX monotherapy during two years. MTX dose was increased using a treat-to-target approach. We used Generalized Estimating Equations to model the occurrence of common MTX side-effects and of any adverse event over time, controlling for disease activity and MTX dose over time and other possible predictors of adverse events. To assess whether a possible effect was prednisone-specific, we performed the same analysis in the U-ACT-EARLY trial, in which the addition of tocilizumab (TCZ) to MTX was compared to MTX monotherapy in a comparable setting. RESULTS MTX side-effects were reported at 5.9% of visits in the prednisone-MTX group, compared to 11.2% in the MTX monotherapy group. After controlling for MTX dose and disease activity over time, treatment duration, age, sex, and baseline transaminase levels, addition of prednisone significantly decreased the occurrence of MTX side-effects (OR: 0.54, CI: 0.38-0.77, p = 0.001). Specifically, the occurrence of nausea (OR 0.46, CI: 0.26-0.83, p = 0.009)) and elevated ALT/AST (OR 0.29, CI: 0.17-0.49, p < 0.001) was decreased. There was a trend towards fewer overall adverse events in the prednisone-MTX arm (OR: 0.89, CI: 0.72-1.11, p = 0.30). No difference in MTX side-effects was found between TCZ-MTX and MTX monotherapy in U-ACT-EARLY (OR 1.05, CI: 0.61-1.80, p = 0.87). CONCLUSION Addition of 10 mg prednisone daily to MTX treatment in RA patients may ameliorate MTX side-effects, specifically nausea and elevated ALT/AST.
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Affiliation(s)
- Matthijs S van der Leeuw
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584CX, The Netherlands.
| | - Janneke Tekstra
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584CX, The Netherlands
| | - Jacob M van Laar
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584CX, The Netherlands
| | - Paco M J Welsing
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584CX, The Netherlands
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Messelink MA, den Broeder AA, Marinelli FE, Michgels E, Verschueren P, Aletaha D, Tekstra J, Welsing PMJ. What is the best target in a treat-to-target strategy in rheumatoid arthritis? Results from a systematic review and meta-regression analysis. RMD Open 2023; 9:rmdopen-2023-003196. [PMID: 37116986 PMCID: PMC10152050 DOI: 10.1136/rmdopen-2023-003196] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 04/09/2023] [Indexed: 04/30/2023] Open
Abstract
OBJECTIVES A treat-to-target (T2T) strategy has been shown to be superior to usual care in rheumatoid arthritis (RA), but the optimal target remains unknown. Targets are based on a disease activity measure (eg, Disease Activity Score-28 (DAS28), Simplified Disease Activity Indices/Clinical Disease Activity Indices (SDAI/CDAI), and a cut-off such as remission or low disease activity (LDA). Our aim was to compare the effect of different targets on clinical and radiographic outcomes. METHODS Cochrane, Embase and (pre)MEDLINE databases were searched (1 June 2022) for randomised controlled trials and cohort studies after 2003 that applied T2T in RA patients for ≥12 months. Data were extracted from individual T2T study arms; risk of bias was assessed with the Cochrane Collaboration tool. Using meta-regression, we evaluated the effect of the target used on clinical and radiographic outcomes, correcting for heterogeneity between and within studies. RESULTS 115 treatment arms were used in the meta-regression analyses. Aiming for SDAI/CDAI-LDA was statistically superior to targeting DAS-LDA regarding DAS-remission and SDAI/CDAI/Boolean-remission outcomes over 1-3 years. Aiming for SDAI/CDAI-LDA was also significantly superior to DAS-remission regarding both SDAI/CDAI/Boolean-remission (over 1-3 years) and mean SDAI/CDAI (over 1 year). Targeting DAS-remission rather than DAS-LDA only improved the percentage of patients in DAS-remission, and only statistically significantly after 2-3 years of T2T. No differences were observed in Health Assessment Questionnaire and radiographic progression. CONCLUSIONS Targeting SDAI/CDAI-LDA, and to a lesser extent DAS-remission, may be superior to targeting DAS-LDA regarding several clinical outcomes. However, due to the risk of residual confounding and the lack of data on (over)treatment and safety, future studies should aim to directly and comprehensively compare targets. PROSPERO REGISTRATION NUMBER CRD42021249015.
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Affiliation(s)
| | | | | | - Edwin Michgels
- Rheumatology & Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | - P Verschueren
- Rheumatology, KU Leuven University Hospitals, Leuven, Belgium
| | - Daniel Aletaha
- Department of Rheumatology, Medical University of Vienna, Vienna, Austria
| | - Janneke Tekstra
- Rheumatology & Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | - Paco M J Welsing
- Rheumatology & Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
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van de Meeberg MM, Hebing RCF, Nurmohamed MT, Fidder HH, Heymans MW, Bouma G, de Bruin-Weller MS, Tekstra J, van den Bemt B, de Jonge R, Bulatović Ćalasan M. A meta-analysis of methotrexate polyglutamates in relation to efficacy and toxicity of methotrexate in inflammatory arthritis, colitis and dermatitis. Br J Clin Pharmacol 2023; 89:61-79. [PMID: 36326810 PMCID: PMC10099850 DOI: 10.1111/bcp.15579] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 10/14/2022] [Accepted: 10/25/2022] [Indexed: 11/05/2022] Open
Abstract
AIMS In immune-mediated inflammatory diseases (IMIDs), early symptom control is a key therapeutic goal. Methotrexate (MTX) is the first-line treatment across IMIDs. However, MTX is underutilized and suboptimally dosed, partly due to the inability of making individualized treatment decisions through therapeutic drug monitoring (TDM). To implement TDM in clinical practice, establishing a relationship between drug concentration and disease activity is paramount. In this meta-analysis, we investigated the relationship between concentrations of MTX polyglutamates (MTX-PG) in erythrocytes and efficacy as well as toxicity across IMIDs. METHODS Studies analysing MTX-PG in relation to disease activity and/or toxicity were included for inflammatory arthritis (rheumatoid [RA] and juvenile idiopathic arthritis [JIA]), inflammatory bowel disease (Crohn's and ulcerative colitis) and dermatitis (psoriasis and atopic dermatitis). Meta-analyses were performed resulting in several summary effect measures: regression coefficient (β), correlation coefficient and mean difference (of MTX-PG in responders vs. nonresponders) for IMIDs separately and collectively. RESULTS Twenty-five studies were included. In RA and JIA, higher MTX-PG was significantly associated with lower disease activity at 3 months (β: -0.002; 95% confidence interval [CI]: -0.004 to -0.001) and after 4 months of MTX use (β: -0.003; 95% CI: -0.005 to -0.002). Similarly, higher MTX-PG correlated with lower disease activity in psoriasis (R: -0.82; 95% CI: -0.976 to -0.102). Higher MTX-PG was observed in RA, JIA and psoriasis responders (mean difference: 5.2 nmol/L MTX-PGtotal ; P < .01). CONCLUSION We showed that higher concentrations of erythrocyte MTX-PG were associated with lower disease activity in RA, JIA and psoriasis. These findings are an important step towards implementation of TDM for MTX treatment across IMIDs.
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Affiliation(s)
- Maartje M van de Meeberg
- Department of Gastroenterology and Hepatology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Gastroenterology and Hepatology, Amsterdam UMC, Vrije Universiteit Amsterdam, AGEM Research Institute, Amsterdam, The Netherlands
| | - Renske C F Hebing
- Amsterdam Rheumatology and Immunology Center, Reade, Rheumatology, Amsterdam, The Netherlands
| | - Michael T Nurmohamed
- Amsterdam Rheumatology and Immunology Center, Reade, Rheumatology, Amsterdam, The Netherlands
| | - Herma H Fidder
- Department of Gastroenterology and Hepatology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Martijn W Heymans
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gerd Bouma
- Department of Gastroenterology and Hepatology, Amsterdam UMC, Vrije Universiteit Amsterdam, AGEM Research Institute, Amsterdam, The Netherlands
| | | | - Janneke Tekstra
- Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Bart van den Bemt
- Department of Pharmacy, Sint Maartenskliniek, Nijmegen, The Netherlands.,Department of Pharmacy, RadboudUMC, Nijmegen, The Netherlands
| | - Robert de Jonge
- Department of Clinical Chemistry, Amsterdam UMC, Vrije Universiteit Amsterdam, AGEM Research Institute, Amsterdam, The Netherlands
| | - Maja Bulatović Ćalasan
- Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands.,Department of Clinical Chemistry, Amsterdam UMC, Vrije Universiteit Amsterdam, AGEM Research Institute, Amsterdam, The Netherlands
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Kleinrensink NJ, Perton FT, Pouw JN, Vincken NLA, Hartgring SAY, Jansen MP, Arbabi S, Foppen W, de Jong PA, Tekstra J, Leijten EFA, Spierings J, Lafeber FPJG, Welsing PMJ, Heijstek MW. TOFA-PREDICT study protocol: a stratification trial to determine key immunological factors predicting tofacitinib efficacy and drug-free remission in psoriatic arthritis (PsA). BMJ Open 2022; 12:e064338. [PMID: 36216430 PMCID: PMC9557317 DOI: 10.1136/bmjopen-2022-064338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Psoriatic arthritis (PsA) is a chronic, inflammatory, musculoskeletal disease that affects up to 30% of patients with psoriasis. Current challenges in clinical care and research include personalised treatment, understanding the divergence of therapy response and unravelling the multifactorial pathophysiology of this complex disease. Moreover, there is an urgent clinical need to predict, assess and understand the cellular and molecular pathways underlying the response to disease-modifying antirheumatic drugs (DMARDs). The TOFA-PREDICT clinical trial addresses this need. Our primary objective is to determine key immunological factors predicting tofacitinib efficacy and drug-free remission in PsA. METHODS AND ANALYSIS In this investigator-initiated, phase III, multicentre, open-label, four-arm randomised controlled trial, we plan to integrate clinical, molecular and imaging parameters of 160 patients with PsA. DMARD-naïve patients are randomised to methotrexate or tofacitinib. Additionally, patients who are non-responsive to conventional synthetic (cs)DMARDs continue their current csDMARD and are randomised to etanercept or tofacitinib. This results in four arms each with 40 patients. Patients are followed for 1 year. Treatment response is defined as minimal disease activity at week 16. Clinical data, biosamples and images are collected at baseline, 4 weeks and 16 weeks; at treatment failure (treatment switch) and 52 weeks. For the first 80 patients, we will use a systems medicine approach to assess multiomics biomarkers and develop a prediction model for treatment response. Subsequently, data from the second 80 patients will be used for validation. ETHICS AND DISSEMINATION The study was approved by the Medical Research Ethics Committee in Utrecht, Netherlands, is registered in the European Clinical Trials Database and is carried out in accordance with the Declaration of Helsinki. The study's progress is monitored by Julius Clinical, a science-driven contract research organisation. TRIAL REGISTRATION NUMBER EudraCT: 2017-003900-28.
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Affiliation(s)
- Nienke J Kleinrensink
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Radiology, UMC Utrecht, Utrecht, The Netherlands
| | - Frank T Perton
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Juliëtte N Pouw
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nanette L A Vincken
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sarita A Y Hartgring
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Mylène P Jansen
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Saeed Arbabi
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Orthopedics, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | | | - Janneke Tekstra
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Emmerik F A Leijten
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Julia Spierings
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Floris P J G Lafeber
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paco M J Welsing
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marloes W Heijstek
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
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Messelink MA, van der Leeuw MS, den Broeder AA, Tekstra J, van der Goes MC, Heijstek MW, Lafeber F, Welsing PMJ. Prediction Aided Tapering In rheumatoid arthritis patients treated with biOlogicals (PATIO): protocol for a randomized controlled trial. Trials 2022; 23:494. [PMID: 35710576 PMCID: PMC9202120 DOI: 10.1186/s13063-022-06471-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 06/09/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Biological disease-modifying anti-rheumatic drugs (bDMARDs) are effective in the treatment of rheumatoid arthritis (RA) but are expensive and increase the risk of infection. Therefore, in patients with a stable low level of disease activity or remission, tapering bDMARDs should be considered. Although tapering does not seem to affect long-term disease control, (short-lived) flares are frequent during the tapering process. We have previously developed and externally validated a dynamic flare prediction model for use as a decision aid during stepwise tapering of bDMARDs to reduce the risk of a flare during this process. METHODS In this investigator-initiated, multicenter, open-label, randomized (1:1) controlled trial, we will assess the effect of incorporating flare risk predictions into a bDMARD tapering strategy. One hundred sixty RA patients treated with a bDMARD with stable low disease activity will be recruited. In the control group, the bDMARD will be tapered according to "disease activity guided dose optimization" (DGDO). In the intervention group, the bDMARD will be tapered according to a strategy that combines DGDO with the dynamic flare prediction model, where the next bDMARD tapering step is not taken in case of a high risk of flare. Patients will be randomized 1:1 to the control or intervention group. The primary outcome is the number of flares per patient (DAS28-CRP increase > 1.2, or DAS28-CRP increase > 0.6 with a current DAS28-CRP ≥ 2.9) during the 18-month follow-up period. Secondary outcomes include the number of patients with a major flare (flare duration ≥ 12 weeks), bDMARD dose reduction, adverse events, disease activity (DAS28-CRP) and patient-reported outcomes such as quality of life and functional disability. Health Care Utilization and Work Productivity will also be assessed. DISCUSSION This will be the first clinical trial to evaluate the benefit of applying a dynamic flare prediction model as a decision aid during bDMARD tapering. Reducing the risk of flaring during tapering may enhance the safety and (cost)effectiveness of bDMARD treatment. Furthermore, this study pioneers the field of implementing predictive algorithms in clinical practice. TRIAL REGISTRATION Dutch Trial Register number NL9798, registered 18 October 2021, https://www.trialregister.nl/trial/9798 . The study has received ethical review board approval (number NL74537.041.20).
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Affiliation(s)
- Marianne A Messelink
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, The Netherlands.
| | - Matthijs S van der Leeuw
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, The Netherlands
| | - Alfons A den Broeder
- Department of Rheumatology, Sint Maartenskliniek, Hengstdal 3, 6574, NA, Ubbergen, The Netherlands
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, The Netherlands
| | - Marlies C van der Goes
- Department of Rheumatology, Meander Medical Center, Maatweg 3, 3813, TZ, Amersfoort, The Netherlands
| | - Marloes W Heijstek
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, The Netherlands
| | - Floris Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, The Netherlands
| | - Paco M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, The Netherlands
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van der Leeuw MS, Messelink MA, Tekstra J, Medina O, van Laar JM, Haitjema S, Lafeber F, Veris-van Dieren JJ, van der Goes MC, den Broeder AA, Welsing PMJ. Using real-world data to dynamically predict flares during tapering of biological DMARDs in rheumatoid arthritis: development, validation, and potential impact of prediction-aided decisions. Arthritis Res Ther 2022; 24:74. [PMID: 35321739 PMCID: PMC8941811 DOI: 10.1186/s13075-022-02751-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 02/27/2022] [Indexed: 11/22/2022] Open
Abstract
Background Biological disease-modifying antirheumatic drugs (bDMARDs) are effective in the treatment of rheumatoid arthritis. However, as bDMARDs may also lead to adverse events and are expensive, tapering them is of great clinical interest. Tapering according to disease activity-guided dose optimization (DGDO) does not seem to affect long term remission rates, but flares are frequent during this process. Our objective was to develop a model for the prediction of flares during bDMARD tapering using data from routine care and to evaluate its potential clinical impact. Methods We used a joint latent class model to repeatedly predict the probability of a flare occurring within the next 3 months. The model was developed using longitudinal data on disease activity (DAS28) and other routine care data from two clinics. Predictive accuracy was assessed in cross-validation and external validation was performed with data from the DRESS (Dose REduction Strategy of Subcutaneous tumor necrosis factor inhibitors) trial. Additionally, we simulated the reduction in number of flares and bDMARD dose when implementing the model as a decision aid during bDMARD tapering in the DRESS trial. Results Data from 279 bDMARD courses were used for model development. The final model included two latent DAS28-trajectories, bDMARD type and dose, disease duration, and seropositivity. The area under the curve of the final model was 0.76 (0.69–0.83) in cross-validation and 0.68 (0.62–0.73) in external validation. In simulation of prediction-aided decisions, the mean number of flares over 18 months decreased from 1.21 (0.99–1.43) to 0.75 (0.54–0.96). The reduction in he bDMARD dose was mostly maintained, increasing from 54 to 64% of full dose. Conclusions We developed a dynamic flare prediction model, exclusively based on data typically available in routine care. Our results show that using this model to aid decisions during bDMARD tapering may significantly reduce the number of flares while maintaining most of the bDMARD dose reduction. Trial registration The clinical impact of the prediction model is currently under investigation in the PATIO randomized controlled trial (Dutch Trial Register number NL9798). Supplementary Information The online version contains supplementary material available at 10.1186/s13075-022-02751-8.
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Affiliation(s)
- Matthijs S van der Leeuw
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Marianne A Messelink
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Ojay Medina
- Department of Digital Health, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Jaap M van Laar
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Saskia Haitjema
- Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Floris Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | | | - Marlies C van der Goes
- Department of Rheumatology, Meander Medical Center, Maatweg 3, 3813 TZ, Amersfoort, The Netherlands
| | - Alfons A den Broeder
- Department of Rheumatology, Sint Maartenskliniek, Hengstdal 3, 6574 NA , Ubbergen, The Netherlands
| | - Paco M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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Roodenrijs NMT, van der Goes MC, Welsing PMJ, van Oorschot EPC, Nikiphorou E, Nijhof NC, Tekstra J, Lafeber FPJG, Jacobs JWG, van Laar JM, Geenen R. Non-adherence in difficult-to-treat rheumatoid arthritis from the perspectives of patients and rheumatologists: a concept mapping study. Rheumatology (Oxford) 2021; 60:5105-5116. [PMID: 33560301 DOI: 10.1093/rheumatology/keab130] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/27/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Treatment non-adherence is more frequent among difficult-to-treat (D2T) than among non-D2T RA patients. Perceptions of non-adherence may differ. We aimed to thematically structure and prioritize barriers to (i.e. causes and reasons for non-adherence) and facilitators of optimal adherence from the patients' and rheumatologists' perspectives. METHODS Patients' perceptions were identified in semi-structured in-depth interviews. Experts selected representative statements regarding 40 barriers and 40 facilitators. Twenty D2T and 20 non-D2T RA patients sorted these statements during two card-sorting tasks: first, by order of content similarity and, second, content applicability. Additionally, 20 rheumatologists sorted the statements by order of content applicability to the general RA population. The similarity sorting was used as input for hierarchical cluster analysis. The applicability sorting was analysed using descriptive statistics, prioritized and the results compared between D2T RA patients, non-D2T RA patients and rheumatologists. RESULTS Nine clusters of barriers were identified, related to the healthcare system, treatment safety/efficacy, treatment regimen and patient behaviour. D2T RA patients prioritized adverse events and doubts about effectiveness as the most important barriers. Doubts about effectiveness were more important to D2T than to non-D2T RA patients (P = 0.02). Seven clusters of facilitators were identified, related to the healthcare system and directly to the patient. All RA patients and rheumatologists prioritized a good relationship with the healthcare professional and treatment information as the most helpful facilitators. CONCLUSIONS D2T RA patients, non-D2T RA patients and rheumatologists prioritized perceptions of non-adherence largely similarly. The structured overviews of barriers and facilitators provided in this study may guide improvement of adherence.
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Affiliation(s)
- Nadia M T Roodenrijs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Marlies C van der Goes
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht.,Department of Rheumatology, Meander Medical Center, Amersfoort, the Netherlands
| | - Paco M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Eline P C van Oorschot
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Elena Nikiphorou
- Centre for Rheumatic Diseases, King's College London and Department of Rheumatology, King's College Hospital, London, UK
| | - Nienke C Nijhof
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Floris P J G Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Johannes W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Jacob M van Laar
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Rinie Geenen
- Department of Psychology, Utrecht University, Utrecht, the Netherlands
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Ottria A, Zimmermann M, Paardekooper LM, Carvalheiro T, Vazirpanah N, Silva-Cardoso S, Affandi AJ, Chouri E, V D Kroef M, Tieland RG, Bekker CPJ, Wichers CGK, Rossato M, Mocholi-Gimeno E, Tekstra J, Ton E, van Laar JM, Cossu M, Beretta L, Garcia Perez S, Pandit A, Bonte-Mineur F, Reedquist KA, van den Bogaart G, Radstake TRDJ, Marut W. Hypoxia and TLR9 activation drive CXCL4 production in systemic sclerosis plasmacytoid dendritic cells via mtROS and HIF-2α. Rheumatology (Oxford) 2021; 61:2682-2693. [PMID: 34559222 DOI: 10.1093/rheumatology/keab532] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 05/25/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE Systemic sclerosis (SSc) is a complex disease characterized by vascular abnormalities and inflammation culminating in hypoxia and excessive fibrosis. Previously, we identified CXCL4 as a novel predictive biomarker in SSc. Although CXCL4 is well-studied, the mechanisms driving its production are unclear. The aim of this study was to elucidate the mechanisms leading to CXCL4 production. METHODS Plasmacytoid dendritic cells (pDCs) from 97 healthy controls and 70 SSc patients were cultured in the presence of hypoxia or atmospheric oxygen level and/or stimulated with several TLR-agonists. Further, pro-inflammatory cytokine production, CXCL4, HIF-1α and HIF-2α gene and protein expression were assessed using ELISA, Luminex, qPCR, FACS and western blot assays. RESULTS CXCL4 release was potentiated only when pDCs were simultaneously exposed to hypoxia and TLR9 agonist (p < 0.0001). Here, we demonstrated that CXCL4 production is dependent on the overproduction of mitochondrial reactive oxygen species (mtROS) (p = 0.0079) leading to stabilization of HIF-2α (p = 0.029). In addition, we show that hypoxia is fundamental for CXCL4 production by umbilical cord (uc)CD34 derived pDCs. CONCLUSION TLR-mediated activation of immune cells in the presence of hypoxia underpins the pathogenic production of CXCL4 in SSc. Blocking either mtROS or HIF-2α pathways may therapeutically attenuate the contribution of CXCL4 to SSc and other inflammatory diseases driven by CXCL4.
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Affiliation(s)
- Andrea Ottria
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Maili Zimmermann
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Laurent M Paardekooper
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Tiago Carvalheiro
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Nadia Vazirpanah
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Sandra Silva-Cardoso
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Alsya J Affandi
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Eleni Chouri
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Maarten V D Kroef
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ralph G Tieland
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Cornelis P J Bekker
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Catharina G K Wichers
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Marzia Rossato
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Enric Mocholi-Gimeno
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Janneke Tekstra
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Evelien Ton
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jaap M van Laar
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Marta Cossu
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Lorenzo Beretta
- Referral Center for Systemic Autoimmune Diseases, University of Milan & Fondazione IRCCS Ospedale Maggiore Policlinico, Mangiagalli e Regina Elena, Via Pace 9, Milan, Italy
| | - Samuel Garcia Perez
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Aridaman Pandit
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Femke Bonte-Mineur
- Department of Rheumatology and Clinical Immunology, Maasstad Hospital, Rotterdam, the Netherlands
| | - Kris A Reedquist
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Geert van den Bogaart
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Molecular Immunology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, the Netherlands
| | - Timothy R D J Radstake
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Wioleta Marut
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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9
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Roodenrijs NMT, van der Goes MC, Welsing PMJ, Tekstra J, Lafeber FPJG, Jacobs JWG, van Laar JM. Difficult-to-treat rheumatoid arthritis: contributing factors and burden of disease. Rheumatology (Oxford) 2021; 60:3778-3788. [PMID: 33331946 DOI: 10.1093/rheumatology/keaa860] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 11/02/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES Treatment of difficult-to-treat (D2T) RA patients is generally based on trial-and-error and can be challenging due to a myriad of contributing factors. We aimed to identify risk factors at RA onset, contributing factors and the burden of disease. METHODS Consecutive RA patients were enrolled and categorized as D2T, according to the EULAR definition, or not (controls). Factors potentially contributing to D2T RA and burden of disease were assessed. Risk factors at RA onset and factors independently associated with D2T RA were identified by logistic regression. D2T RA subgroups were explored by cluster analysis. RESULTS Fifty-two RA patients were classified as D2T and 100 as non-D2T. Lower socioeconomic status at RA onset was found as an independent risk factor for developing D2T RA [odds ratio (OR) 1.97 (95%CI 1.08-3.61)]. Several contributing factors were independently associated with D2T RA, occurring more frequently in D2T than in non-D2T patients: limited drug options because of adverse events (94% vs 57%) or comorbidities (69% vs 37%), mismatch in patient's and rheumatologist's wish to intensify treatment (37% vs 6%), concomitant fibromyalgia (38% vs 9%) and poorer coping (worse levels). Burden of disease was significantly higher in D2T RA patients. Three subgroups of D2T RA patients were identified: (i) 'non-adherent dissatisfied patients'; (ii) patients with 'pain syndromes and obesity'; (iii) patients closest to the concept of 'true refractory RA'. CONCLUSIONS This comprehensive study on D2T RA shows multiple contributing factors, a high burden of disease and the heterogeneity of D2T RA. These findings suggest that these factors should be identified in daily practice in order to tailor therapeutic strategies further to the individual patient.
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Affiliation(s)
- Nadia M T Roodenrijs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marlies C van der Goes
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Rheumatology, Meander Medical Center, Amersfoort, The Netherlands
| | - Paco M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Floris P J G Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Johannes W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jacob M van Laar
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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10
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Verhoeven MM, Westgeest AA, Tekstra J, van laar JM, Lafeber FP, Welsing PM, Jacobs JW. Classification of rheumatoid arthritis into active or inactive with a modified Disease Activity score, for future use as a treat-to-target tool, with a HandScan score replacing joint counts. Clin Exp Rheumatol 2021; 40:2018-2022. [PMID: 35200120 DOI: 10.55563/clinexprheumatol/tpsngs] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 11/11/2021] [Indexed: 11/13/2022]
Abstract
OBJECTIVES To establish the value of a modified Disease Activity score with Optical Spectral Transmission score (DAS-OST) without joint counts but with a HandScan score, versus that of DAS28, to classify rheumatoid arthritis (RA) as active versus inactive, with as reference standard the rheumatologist's clinical classification. METHODS RA patients with at least one HandScan and DAS28 measurement performed at the same visit were included. Data was extracted from medical records, as was the clinical interpretation as active or inactive RA by the rheumatologist. Logistic regression analyses were performed to calculate areas under the receiver operating characteristics (AU-ROC) curves. The clinical interpretation was used as reference standard in all analyses, and disease activity measures were used as predictor variables. The performance of predictor variables (AU-ROCs) was compared. RESULTS The data of 1505 RA patients were used for analyses. The highest AU-ROC of 0.88 (95%CI 0.85-0.90) was shown for DAS28; AU-ROC of DAS-OST was 0.78 (95%CI 0.75-0.81), difference 0.10, p<0.01. CONCLUSIONS Compared to DAS28, DAS-OST classified RA statistically significantly less well as active versus inactive, when using the clinical classification as reference standard. However, a DAS-modification without joint scores might have a place in strategies limiting routine outpatients' visits to the rheumatologist.
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Affiliation(s)
- Maxime M.A. Verhoeven
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | | | - Janneke Tekstra
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jacob M. van laar
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Floris P.J.G. Lafeber
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Paco M.J. Welsing
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Johannes W.G. Jacobs
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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11
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Leijten EF, van Kempen TS, Olde Nordkamp MA, Pouw JN, Kleinrensink NJ, Vincken NL, Mertens J, Balak DMW, Verhagen FH, Hartgring SA, Lubberts E, Tekstra J, Pandit A, Radstake TR, Boes M. Tissue-Resident Memory CD8+ T Cells From Skin Differentiate Psoriatic Arthritis From Psoriasis. Arthritis Rheumatol 2021; 73:1220-1232. [PMID: 33452865 PMCID: PMC8362143 DOI: 10.1002/art.41652] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 01/07/2021] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To compare immune cell phenotype and function in psoriatic arthritis (PsA) versus psoriasis in order to better understand the pathogenesis of PsA. METHODS In-depth immunophenotyping of different T cell and dendritic cell subsets was performed in patients with PsA, psoriasis, or axial spondyloarthritis and healthy controls. Subsequently, we analyzed cells from peripheral blood, synovial fluid (SF), and skin biopsy specimens using flow cytometry, along with high-throughput transcriptome analyses and functional assays on the specific cell populations that appeared to differentiate PsA from psoriasis. RESULTS Compared to healthy controls, the peripheral blood of patients with PsA was characterized by an increase in regulatory CD4+ T cells and interleukin-17A (IL-17A) and IL-22 coproducing CD8+ T cells. One population specifically differentiated PsA from psoriasis: i.e., CD8+CCR10+ T cells were enriched in PsA. CD8+CCR10+ T cells expressed high levels of DNAX accessory molecule 1 and were effector memory cells that coexpressed skin-homing receptors CCR4 and cutaneous lymphocyte antigen. CD8+CCR10+ T cells were detected under inflammatory and homeostatic conditions in skin, but were not enriched in SF. Gene profiling further revealed that CD8+CCR10+ T cells expressed GATA3, FOXP3, and core transcriptional signature of tissue-resident memory T cells, including CD103. Specific genes, including RORC, IFNAR1, and ERAP1, were up-regulated in PsA compared to psoriasis. CD8+CCR10+ T cells were endowed with a Tc2/22-like cytokine profile, lacked cytotoxic potential, and displayed overall regulatory function. CONCLUSION Tissue-resident memory CD8+ T cells derived from the skin are enhanced in the circulation of patients with PsA compared to patients with psoriasis alone. This may indicate that aberrances in cutaneous tissue homeostasis contribute to arthritis development.
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MESH Headings
- Adult
- Aminopeptidases/genetics
- Antigens, CD/genetics
- Antigens, Differentiation, T-Lymphocyte/immunology
- Arthritis, Psoriatic/genetics
- Arthritis, Psoriatic/immunology
- Arthritis, Psoriatic/pathology
- CD8-Positive T-Lymphocytes/immunology
- CD8-Positive T-Lymphocytes/metabolism
- Case-Control Studies
- Female
- Forkhead Transcription Factors/genetics
- GATA3 Transcription Factor/genetics
- Gene Expression Profiling
- High-Throughput Nucleotide Sequencing
- Humans
- Immunologic Memory/immunology
- Immunophenotyping
- Integrin alpha Chains/genetics
- Interleukin-17/immunology
- Interleukins/immunology
- Male
- Middle Aged
- Minor Histocompatibility Antigens/genetics
- Nuclear Receptor Subfamily 1, Group F, Member 3/genetics
- Oligosaccharides/metabolism
- Psoriasis/genetics
- Psoriasis/immunology
- Psoriasis/pathology
- Receptor, Interferon alpha-beta/genetics
- Receptors, CCR10/metabolism
- Receptors, CCR4/metabolism
- Sialyl Lewis X Antigen/analogs & derivatives
- Sialyl Lewis X Antigen/metabolism
- Skin/immunology
- Skin/pathology
- Spondylarthropathies/genetics
- Spondylarthropathies/immunology
- Spondylarthropathies/pathology
- Synovial Fluid/cytology
- T-Lymphocyte Subsets/immunology
- T-Lymphocyte Subsets/metabolism
- T-Lymphocytes, Cytotoxic/immunology
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/metabolism
- Interleukin-22
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Affiliation(s)
| | | | | | | | | | | | - Jorre Mertens
- University Medical Center UtrechtUtrechtThe Netherlands
| | | | | | | | - Erik Lubberts
- Erasmus University Medical CenterRotterdamThe Netherlands
| | | | | | | | - Marianne Boes
- University Medical Center UtrechtUtrechtThe Netherlands
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12
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Verhoeven MMA, Westgeest AAA, Schwarting A, Jacobs JWG, Heller C, van Laar JM, Lafeber FPJG, Tekstra J, Triantafyllias K, Welsing PMJ. Development and validation of rheumatoid arthritis disease activity indices including HandScan (optical spectral transmission) scores. Arthritis Care Res (Hoboken) 2021; 74:1493-1499. [PMID: 33770421 PMCID: PMC9540315 DOI: 10.1002/acr.24607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 03/10/2021] [Accepted: 03/23/2021] [Indexed: 11/30/2022]
Abstract
Objective To develop and validate a composite rheumatoid arthritis (RA) disease activity index using optical spectral transmission (OST) scores obtained with the HandScan, replacing tender and swollen joint counts. Methods RA patients from a single center routinely undergoing HandScan measurements with at least 1 concurrent OST score and Disease Activity Score in 28 joints (DAS28) were included. Data were extracted from medical records. Linear regression analyses with the DAS28 as the outcome were performed to create a disease activity index (DAS‐OST). OST score, erythrocyte sedimentation rate (ESR), and patient global assessment (PtGA) visual analog scale (VAS), sex, age, disease duration, and rheumatoid factor status were evaluated as independent variables. Final models were derived based on the statistical significance of coefficients and model fit. Of the data, two‐thirds were used for development and one‐third for validation; external validation was performed in a cohort from another center. Agreement between DAS‐OST and DAS28 was assessed using the Bland‐Altman plot method and intraclass correlation coefficient (ICC). Diagnostic value of the DAS‐OST was determined for established definitions of remission, low disease activity (LDA), and high disease activity (HDA). Results Data of 3,358 observations from 1,505 unique RA patients were extracted. DAS‐OST was defined as: –0.44 + OST × 0.03 + male × –0.11 + LN(ESR) × 0.77 + PtGA VAS × 0.03. The ICCs between DAS‐OST and DAS28 were 0.88 (95% confidence interval [95% CI] 0.87–0.90) and 0.82 (95% CI 0.75–0.86) and measurement errors were 0.58 and 0.87 in internal and external validation, respectively. Sensitivity for remission, LDA, and HDA was 79%, 91%, and 43%, respectively, and specificity was 92%, 80%, and 96% in external validation. Conclusion Using the HandScan, RA disease activity can be accurately estimated if combined with ESR, PtGA VAS, and sex into a disease activity index (DAS‐OST).
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Affiliation(s)
- Maxime M A Verhoeven
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | | | - Johannes W G Jacobs
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | - Jacob M van Laar
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Floris P J G Lafeber
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Janneke Tekstra
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | - Paco M J Welsing
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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13
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Buikema JW, Asselbergs FW, Tekstra J. COVID-19 related thrombi in ascending and descending thoracic aorta with peripheral embolization: a case report. Eur Heart J Case Rep 2021; 5:ytaa525. [PMID: 33569525 PMCID: PMC7859600 DOI: 10.1093/ehjcr/ytaa525] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 06/12/2020] [Accepted: 11/27/2020] [Indexed: 01/30/2023]
Abstract
Background COVID-19 (severe acute respiratory syndrome coronavirus 2) infected patients have increased risk for thrombotic events, which initially may have been under recognized. The existence of cardiovascular emboli can be directly life threatening when obstructing the blood flow to vital organs such as the brain or other parts of the body. The exact mechanism for this hypercoagulable state in COVID-19 patients yet remains to be elucidated. Case summary A 72-year-old man critically ill with COVID-19 was diagnosed with a free-floating and mural thrombus in the thoracic aorta. Subsequent distal embolization to the limbs led to ischaemia and necrosis of the right foot. Treatment with heparin and anticoagulants reduced thrombus load in the ascending and thoracic aorta. Discussion One-third of COVID-19 patients show major thrombotic events, mostly pulmonary emboli. The endothelial expression of angiotensin-converting enzyme-2 receptors makes it feasible that in patients with viraemia direct viral-toxicity to the endothelium of also the large arteries results in local thrombus formation. Up to date, prophylactic anticoagulants are recommended in all patients that are hospitalized with COVID-19 infections to prevent venous and arterial thrombotic complications.
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Affiliation(s)
- Jan W Buikema
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Folkert W Asselbergs
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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14
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Wienke J, Mertens JS, Garcia S, Lim J, Wijngaarde CA, Yeo JG, Meyer A, van den Hoogen LL, Tekstra J, Hoogendijk JE, Otten HG, Fritsch-Stork RDE, de Jager W, Seyger MMB, Thurlings RM, de Jong EMGJ, van der Kooi AJ, van der Pol WL, Arkachaisri T, Radstake TRDJ, van Royen-Kerkhof A, van Wijk F. Biomarker profiles of endothelial activation and dysfunction in rare systemic autoimmune diseases: implications for cardiovascular risk. Rheumatology (Oxford) 2021; 60:785-801. [PMID: 32810267 DOI: 10.1093/rheumatology/keaa270] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 03/19/2020] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES Vasculopathy is an important hallmark of systemic chronic inflammatory connective tissue diseases (CICTD) and is associated with increased cardiovascular risk. We investigated disease-specific biomarker profiles associated with endothelial dysfunction, angiogenic homeostasis and (tissue) inflammation, and their relation to disease activity in rare CICTD. METHODS A total of 38 serum proteins associated with endothelial (dys)function and inflammation were measured by multiplex-immunoassay in treatment-naive patients with localized scleroderma (LoS, 30), eosinophilic fasciitis (EF, 8) or (juvenile) dermatomyositis (34), 119 (follow-up) samples during treatment, and 65 controls. Data were analysed by unsupervised clustering, Spearman correlations, non-parametric t test and ANOVA. RESULTS The systemic CICTD, EF and dermatomyositis, had distinct biomarker profiles, with 'signature' markers galectin-9 (dermatomyositis) and CCL4, CCL18, CXCL9, fetuin, fibronectin, galectin-1 and TSP-1 (EF). In LoS, CCL18, CXCL9 and CXCL10 were subtly increased. Furthermore, dermatomyositis and EF shared upregulation of markers related to interferon (CCL2, CXCL10), endothelial activation (VCAM-1), inhibition of angiogenesis (angiopoietin-2, sVEGFR-1) and inflammation/leucocyte chemo-attraction (CCL19, CXCL13, IL-18, YKL-40), as well as disturbance of the Angiopoietin-Tie receptor system and VEGF-VEGFR system. These profiles were related to disease activity, and largely normalized during treatment. However, a subgroup of CICTD patients showed continued elevation of CXCL10, CXCL13, galectin-9, IL-18, TNFR2, VCAM-1, and/or YKL-40 during clinically inactive disease, possibly indicating subclinical interferon-driven inflammation and/or endothelial dysfunction. CONCLUSION CICTD-specific biomarker profiles revealed an anti-angiogenic, interferon-driven environment during active disease, with incomplete normalization under treatment. This warrants further investigation into monitoring of vascular biomarkers during clinical follow-up, or targeted interventions to minimize cardiovascular risk in the long term.
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Affiliation(s)
- Judith Wienke
- Centre for Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jorre S Mertens
- Centre for Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands.,Department of Dermatology, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Samuel Garcia
- Centre for Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Johan Lim
- Department of Neurology, Amsterdam University Medical Centre, University of Amsterdam, Neuroscience Institute, Amsterdam, Netherlands
| | - Camiel A Wijngaarde
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Joo Guan Yeo
- Rheumatology and Immunology Service, Department of Paediatric Subspecialties, KK Women's and Children's Hospital and Duke-NUS Medical School, Duke, NUS, Singapore.,Translational Immunology Institute, SingHealth-Academic Medical Centre, Duke, NUS, Singapore
| | - Alain Meyer
- Service de Physiologie et d'Explorations Fonctionnelles, Centre, de Référence des, Maladies Autoimmunes Rares, Rhumatologie, Institut de Physiologie, Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, France
| | - Lucas L van den Hoogen
- Centre for Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Janneke Tekstra
- Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Jessica E Hoogendijk
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Henny G Otten
- Centre for Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ruth D E Fritsch-Stork
- Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands.,Sigmund Freud Private University, Vienna, Austria, Vienna, Austria.,Medizinische Abteilung Hanusch Krankenhaus und Ludwig Boltzmann Institut für Osteologie, Vienna, Austria
| | - Wilco de Jager
- Centre for Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marieke M B Seyger
- Department of Dermatology, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Rogier M Thurlings
- Department of Rheumatic Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Elke M G J de Jong
- Department of Dermatology, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Anneke J van der Kooi
- Department of Neurology, Amsterdam University Medical Centre, University of Amsterdam, Neuroscience Institute, Amsterdam, Netherlands
| | - W Ludo van der Pol
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Thaschawee Arkachaisri
- Rheumatology and Immunology Service, Department of Paediatric Subspecialties, KK Women's and Children's Hospital and Duke-NUS Medical School, Duke, NUS, Singapore
| | - Timothy R D J Radstake
- Centre for Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Annet van Royen-Kerkhof
- Paediatric Rheumatology and Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Femke van Wijk
- Centre for Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
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15
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Leijten E, Tao W, Pouw J, van Kempen T, Olde Nordkamp M, Balak D, Tekstra J, Muñoz-Elías E, DePrimo S, Drylewicz J, Pandit A, Boes M, Radstake T. Broad proteomic screen reveals shared serum proteomic signature in patients with psoriatic arthritis and psoriasis without arthritis. Rheumatology (Oxford) 2021; 60:751-761. [PMID: 32793974 PMCID: PMC7850582 DOI: 10.1093/rheumatology/keaa405] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 06/09/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To identify novel serum proteins involved in the pathogenesis of PsA as compared with healthy controls, psoriasis (Pso) and AS, and to explore which proteins best correlated to major clinical features of the disease. METHODS A high-throughput serum biomarker platform (Olink) was used to assess the level of 951 unique proteins in serum of patients with PsA (n = 20), Pso (n = 18) and AS (n = 19), as well as healthy controls (HC, n = 20). Pso and PsA were matched for Psoriasis Area and Severity Index (PASI) and other clinical parameters. RESULTS We found 68 differentially expressed proteins (DEPs) in PsA as compared with HC. Of those DEPs, 48 proteins (71%) were also dysregulated in Pso and/or AS. Strikingly, there were no DEPs when comparing PsA with Pso directly. On the contrary, hierarchical cluster analysis and multidimensional scaling revealed that HC clustered distinctly from all patients, and that PsA and Pso grouped together. The number of swollen joints had the strongest positive correlation to ICAM-1 (r = 0.81, P < 0.001) and CCL18 (0.76, P < 0.001). PASI score was best correlated to PI3 (r = 0.54, P < 0.001) and IL-17 receptor A (r = -0.51, P < 0.01). There were more proteins correlated to PASI score when analysing Pso and PsA patients separately, as compared with analysing Pso and PsA patients pooled together. CONCLUSION PsA and Pso patients share a serum proteomic signature, which supports the concept of a single psoriatic spectrum of disease. Future studies should target skin and synovial tissues to uncover differences in local factors driving arthritis development in Pso.
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Affiliation(s)
- Emmerik Leijten
- Department of Rheumatology and Clinical Immunology, Utrecht, The Netherlands.,Center for Translational Immunology, Utrecht, The Netherlands
| | - Weiyang Tao
- Department of Rheumatology and Clinical Immunology, Utrecht, The Netherlands.,Center for Translational Immunology, Utrecht, The Netherlands
| | - Juliette Pouw
- Department of Rheumatology and Clinical Immunology, Utrecht, The Netherlands.,Center for Translational Immunology, Utrecht, The Netherlands
| | - Tessa van Kempen
- Department of Rheumatology and Clinical Immunology, Utrecht, The Netherlands.,Center for Translational Immunology, Utrecht, The Netherlands
| | - Michel Olde Nordkamp
- Department of Rheumatology and Clinical Immunology, Utrecht, The Netherlands.,Center for Translational Immunology, Utrecht, The Netherlands
| | - Deepak Balak
- Department of Dermatology, UMC Utrecht, Utrecht, The Netherlands
| | - J Tekstra
- Department of Rheumatology and Clinical Immunology, Utrecht, The Netherlands
| | - Ernesto Muñoz-Elías
- Immunology Biomarkers, Janssen Research & Development LLC, San Diego, CA, USA
| | - Samuel DePrimo
- Immunology Biomarkers, Janssen Research & Development LLC, San Diego, CA, USA
| | - Julia Drylewicz
- Center for Translational Immunology, Utrecht, The Netherlands
| | - Aridaman Pandit
- Department of Rheumatology and Clinical Immunology, Utrecht, The Netherlands.,Center for Translational Immunology, Utrecht, The Netherlands
| | - Marianne Boes
- Center for Translational Immunology, Utrecht, The Netherlands.,Department of Pediatrics, UMC Utrecht, Utrecht, The Netherlands
| | - Timothy Radstake
- Department of Rheumatology and Clinical Immunology, Utrecht, The Netherlands.,Center for Translational Immunology, Utrecht, The Netherlands
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16
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Verhoeven MMA, Tekstra J, Marijnissen ACA, Meier AJL, Westgeest AAA, Lafeber FPJG, Jacobs JWG, van Laar JM, Welsing PMJ. Utility of the HandScan in monitoring disease activity and prediction of clinical response in rheumatoid arthritis patients: an explorative study. Rheumatol Adv Pract 2021; 5:rkab004. [PMID: 33693304 PMCID: PMC7931797 DOI: 10.1093/rap/rkab004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 01/08/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES The aims were to determine the ability of the HandScan [assessing inflammation in hand and wrist joints using optical spectral transmission (OST)] to measure RA disease activity longitudinally, compared with DAS28, and to determine whether short-term (i.e. 1 month) changes in the OST score can predict treatment response at 3 or 6 months. METHODS Participants visited the outpatient clinic before the start of (additional) RA medication and 1, 3 and 6 months thereafter. Disease activity was monitored at each visit with the HandScan and DAS28 in parallel. A mixed effects model with DAS28 as the outcome variable with a random intercept at patient level, visit month and DAS28 one visit earlier was used to evaluate whether changes in the OST score are related to changes in DAS28. Binary logistic regression was used to test the predictive value of short-term changes in the OST score together with the baseline OST score for achievement of treatment response (EULAR or ACR criteria). All models were adjusted for RA stage (early or established). RESULTS In total, 64 RA patients were included. One unit change in OST score was found to be related to an average DAS28 change of 0.03 (95% CI: 0.01, 0.06, P = 0.03). When adding OST score as a variable in the longitudinal model, the ability of the model to estimate DAS28 (i.e. explained variance) increased by 2%, to 59%. Neither baseline OST score nor short-term change in OST score was predictive for treatment response at 3 or 6 months. CONCLUSION A longitudinal association of OST score with DAS28 exists, although explained variance is low. The predictive ability of short-term changes in HandScan for treatment response is limited.
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Affiliation(s)
- Maxime M A Verhoeven
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht
| | - Anne C A Marijnissen
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht
| | - Anna J L Meier
- Department of Rheumatology, Máxima MC, Eindhoven, The Netherlands
| | | | - Floris P J G Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht
| | - Johannes W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht
| | - Jacob M van Laar
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht
| | - Paco M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht
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17
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Roodenrijs NMT, Welsing PMJ, van der Goes MC, Tekstra J, Lafeber FPJG, Jacobs JWG, van Laar JM. Healthcare utilization and economic burden of difficult-to-treat rheumatoid arthritis: a cost-of-illness study. Rheumatology (Oxford) 2021; 60:4681-4690. [PMID: 33502493 DOI: 10.1093/rheumatology/keab078] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 12/21/2020] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES To determine the impact of difficult-to-treat rheumatoid arthritis (D2T RA) on (costs related to) healthcare utilization, other resource use and work productivity. METHODS Data regarding healthcare utilization, other resource use and work productivity of 52 D2T (according to the EULAR definition) and 100 non-D2T RA patients were collected via a questionnaire and an electronic patient record review during a study visit. Annual costs were calculated and compared between groups. Multivariable linear regression analysis was performed to assess whether having D2T RA was associated with higher costs. RESULTS Mean (95% CI) annual total costs were €37 605 (€27 689 - €50 378) for D2T and €19 217 (€15 647 - €22 945) for non-D2T RA patients (P<0.001). D2T RA patients visited their rheumatologist more frequently, were more often admitted to day-care facilities, underwent more laboratory tests and used more drugs (specifically targeted synthetic DMARDs), compared with non-D2T RA patients (P<0.01). In D2T RA patients, the main contributors to total costs were informal help of family and friends (28%), drugs (26%) and loss of work productivity (16%). After adjustment for physical functioning (HAQ), having D2T RA was no longer statistically significantly associated with higher total costs. HAQ was the only independent determinant of higher costs in multivariable analysis. CONCLUSIONS The economic burden of D2T RA is significantly higher than that of non-D2T RA, indicated by higher healthcare utilization and higher annual total costs. Functional disability is a key determinant of higher costs in RA.
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Affiliation(s)
- Nadia M T Roodenrijs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Paco M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Marlies C van der Goes
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht.,Department of Rheumatology, Meander Medical Center, Amersfoort, The Netherlands
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Floris P J G Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Johannes W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
| | - Jacob M van Laar
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht
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18
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Verhoeven MMA, Tekstra J, Welsing PMJ, Pethö-Schramm A, Borm MEA, Bruyn GAW, Bos R, Griep EN, Klaasen R, van Laar JM, Lafeber FPJG, Bijlsma JWJ, de Hair MJH, Jacobs JWG. Effectiveness and safety over 3 years after the 2-year U-Act-Early trial of the strategies initiating tocilizumab and/or methotrexate. Rheumatology (Oxford) 2021; 59:2325-2333. [PMID: 31859346 PMCID: PMC7449801 DOI: 10.1093/rheumatology/kez602] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 11/15/2019] [Indexed: 11/25/2022] Open
Abstract
Objectives U-Act-Early was a 2-year, randomized placebo controlled, double-blind trial, in which DMARD-naïve early RA patients were treated to the target of sustained remission (SR). Two strategies initiating tocilizumab (TCZ), with and without methotrexate (MTX), were more effective than a strategy initiating MTX. The aim of the current study was to determine longer-term effectiveness in daily clinical practice. Methods At the end of U-Act-Early, patients were included in a 3-year post-trial follow-up (PTFU), in which treatment was according to standard care and data were collected every 3 months during the first year and every 6 months thereafter. Primary end point was disease activity score assessing 28 joints (DAS28) over time. Mixed effects models were used to compare effectiveness between initial strategy groups, correcting for relevant confounders. Between the groups as randomized, proportions of patients were tested for DMARD use, SR and radiographic progression of joint damage. Results Of patients starting U-Act-Early, 226/317 (71%) participated in the PTFU. Over the total 5 years, mean DAS28 was similar between groups (P > 0.20). During U-Act-Early, biologic DMARD use decreased in both TCZ initiation groups and increased in the MTX initiation group, but during follow-up this trend did not continue. SR was achieved at least once in 99% of patients. Of the 226 patients, only 30% had any radiographic progression over 5 years, without significant differences between the groups. Conclusion Although in the short-term the strategies initiating TCZ yielded the most clinical benefit, in the longer-term differences in important clinical outcomes between the strategies disappeared, probably due to continuation of the treat-to-target principle.
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Affiliation(s)
- Maxime M A Verhoeven
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paco M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | | | | | - Reinhard Bos
- Department of Rheumatology, Medical Center Leeuwarden, Leeuwarden
| | - Ed N Griep
- Department of Rheumatology, Antonius Hospital, Sneek
| | - Ruth Klaasen
- Department of Rheumatology, Meander Medical Center, Amersfoort, The Netherlands
| | - Jacob M van Laar
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Floris P J G Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Johannes W J Bijlsma
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marjolein J H de Hair
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Johannes W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
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19
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Gosselt HR, Verhoeven MMA, de Rotte MCFJ, Pluijm SMF, Muller IB, Jansen G, Tekstra J, Bulatović-Ćalasan M, Heil SG, Lafeber FPJG, Hazes JMW, de Jonge R. Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio. Rheumatol Ther 2020; 7:837-850. [PMID: 32926395 PMCID: PMC7695780 DOI: 10.1007/s40744-020-00230-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Methotrexate (MTX) constitutes the first-line therapy in rheumatoid arthritis (RA), yet approximately 30% of the patients do not benefit from MTX. Recently, we reported a prognostic multivariable prediction model for insufficient clinical response to MTX at 3 months of treatment in the treatment in the Rotterdam Early Arthritis Cohort (tREACH), including baseline predictors: Disease activity score 28 (DAS28), Health Assessment Questionnaire (HAQ), erythrocyte folate, single-nucleotide polymorphisms (SNPs; ABCB1, ABCC3), smoking, and BMI. The purpose of the current study was (1) to externally validate the model and (2) to enhance the model's clinical applicability. METHODS Erythrocyte folate and SNPs were assessed in 91 early disease-modifying antirheumatic drug (DMARD)-naïve RA patients starting MTX in the external validation cohort (U-Act-Early). Insufficient response (DAS28 > 3.2) was determined after 3 months and non-response after 6 months of therapy. The previously developed prediction model was considered successfully validated in the U-Act-Early (validation cohort) if the area under the curve (AUC) of the receiver operating characteristic (ROC) was not significantly lower than in the tREACH (derivation cohort). RESULTS The AUCs in U-Act-Early at three and 6 months were 0.75 (95% CI 0.64-0.85) and 0.71 (95% CI 0.60-0.82) respectively, similar to the tREACH. Baseline DAS28 > 5.1 and HAQ > 0.6 were the strongest predictors. The model was simplified by excluding the SNPs, while still classifying 73% correctly. Furthermore, interaction terms between BMI and HAQ and BMI and erythrocyte folate significantly improved the model increasing correct classification to 75%. Results were successfully implemented in Evidencio online platform assisting clinicians in shared decision-making to intensify treatment when appropriate. CONCLUSIONS We successfully externally validated our recently reported prediction model for MTX non-response and enhanced its clinical application thus enabling its evaluation in a clinical trial. TRIAL REGISTRATION The U-Act-Early is registered at ClinicalTrials.gov. number: NCT01034137. tREACH is registered retrospectively at ISRCTN registry, number: ISRCTN26791028 at 23 August 2007.
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Affiliation(s)
- Helen R Gosselt
- Amsterdam Gastroenterology and Metabolism, Department of Clinical Chemistry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Department of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Maxime M A Verhoeven
- Department of Rheumatology and Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | - Maurits C F J de Rotte
- Amsterdam Gastroenterology and Metabolism, Department of Clinical Chemistry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Gastroenterology and Metabolism, Department of Clinical Chemistry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Saskia M F Pluijm
- Department of Paediatric Oncology, Prinses Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands
| | - Ittai B Muller
- Amsterdam Gastroenterology and Metabolism, Department of Clinical Chemistry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gerrit Jansen
- Amsterdam Rheumatology and Immunology Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Janneke Tekstra
- Department of Rheumatology and Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | | | - Sandra G Heil
- Department of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Floris P J G Lafeber
- Department of Rheumatology and Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | - Johanna M W Hazes
- Department of Rheumatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Robert de Jonge
- Amsterdam Gastroenterology and Metabolism, Department of Clinical Chemistry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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20
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Verhoeven MMA, Tekstra J, Jacobs JWG, Bijlsma JWJ, van Laar JM, Pethö-Schramm A, Borm MEA, Lafeber FPJ, Welsing PMJ. Is tocilizumab monotherapy as effective in preventing radiographic progression in rheumatoid arthritis as its combination with methotrexate? Arthritis Care Res (Hoboken) 2020; 74:889-895. [PMID: 33253497 PMCID: PMC9313860 DOI: 10.1002/acr.24524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 10/23/2020] [Accepted: 11/24/2020] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To compare the effect of preventing radiographic progression (in its 3 components) of tocilizumab (TCZ) monotherapy with those of TCZ combined with methotrexate (TCZ+MTX), and to evaluate possible effect modifiers. METHODS Randomized trials comparing TCZ-monotherapy with TCZ+MTX combination therapy regarding radiographic progression were analyzed on individual patient (n=820) data level for early as well as established RA patients using mixed-effects models. Outcomes were: not having radiographic progression after 2 years (i.e., preventing radiographic progression), respectively in total Sharp van der Heijde (SvdH) score, in erosion score and in joint space narrowing (JSN) score. Effect modification by baseline joint damage, disease duration and DAS28 was studied. RESULTS Overall, TCZ+MTX was more effective in preventing radiographic progression regarding total SvdH scores compared to TCZ-monotherapy. However, in early RA patients with more joint damage (RR 1.02 vs. 0.91 for the less damage group), or a lower DAS28 (RR 1.04 vs. 0.92) at baseline, this advantage disappeared. In established RA, the advantage of TCZ+MTX over TCZ in preventing radiographic progression disappeared with a longer disease duration at baseline (RR 1.04 vs. 0.83). Results for erosion scores as outcome were in line, but were less clear for JSN. CONCLUSION Combination therapy with TCZ+MTX is more effective in preventing radiographic progression compared to TCZ-monotherapy, but the effectiveness of TCZ-monotherapy may approximate the effectiveness of TCZ+MTX in early RA patients with more joint damage and/or a lower DAS28 at baseline, and in established RA patients with longer disease duration.
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21
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Jurgens MS, Safy-Khan M, de Hair MJH, Bijlsma JWJ, Welsing PMJ, Tekstra J, Lafeber FPJG, Sasso EH, Jacobs JWG. The multi-biomarker disease activity test for assessing response to treatment strategies using methotrexate with or without prednisone in the CAMERA-II trial. Arthritis Res Ther 2020; 22:205. [PMID: 32907614 PMCID: PMC7487793 DOI: 10.1186/s13075-020-02293-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 08/11/2020] [Indexed: 12/29/2022] Open
Abstract
Objectives The CAMERA-II trial compared two tight-control, treat-to-target strategies, initiating methotrexate with prednisone (MTX+pred) or MTX with placebo (MTX+plac), in early RA-patients. The multi-biomarker disease activity (MBDA) blood test objectively measures RA disease activity with a score of 1–100. In CAMERA-II, response profiles of the MBDA score, its individual biomarkers, and DAS28 were assessed. Methods We evaluated 92 patients from CAMERA-II of whom clinical data and serum for MBDA testing at baseline and ≥ 1 time-point from months 1, 2, 3, 4, 5, 6, 9, or 12 were available. Changes (∆) from baseline for DAS28 and MBDA score and comparisons of ∆DAS28 and ∆MBDA score over time within the MTX+pred versus the MTX+plac strategy were tested for significance with t tests. Changes in biomarker concentration from baseline to months 1–5 were tested with Wilcoxon signed rank test and tested for difference between treatment arms by Mann-Whitney U test. Results MBDA and DAS28 showed similar response profiles, with gradual improvement over the first 6 months in the MTX+plac group, and in the MTX+pred group faster improvement during month 1, followed by gradual improvement. The 12 MBDA biomarkers could be grouped into 4 categories of response profiles, with significant responses for 4 biomarkers during the MTX+plac strategy and 9 biomarkers during the MTX+pred strategy. Conclusions MBDA tracked treatment response in CAMERA-II similarly to DAS28. More individual MBDA biomarkers tracked treatment response to MTX+pred than to MTX+plac. Four response profiles could be observed. Trial registration CAMERA-II International Standard Randomised Controlled Trial Number: ISRCTN 70365169. Registered on 29 March 2006, retrospectively registered.
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Affiliation(s)
- M S Jurgens
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, University of Utrecht, G02.228, PO Box 85500, 3508, GA, Utrecht, The Netherlands
| | - M Safy-Khan
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, University of Utrecht, G02.228, PO Box 85500, 3508, GA, Utrecht, The Netherlands.
| | | | - J W J Bijlsma
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, University of Utrecht, G02.228, PO Box 85500, 3508, GA, Utrecht, The Netherlands
| | - P M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, University of Utrecht, G02.228, PO Box 85500, 3508, GA, Utrecht, The Netherlands
| | - J Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, University of Utrecht, G02.228, PO Box 85500, 3508, GA, Utrecht, The Netherlands
| | - F P J G Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, University of Utrecht, G02.228, PO Box 85500, 3508, GA, Utrecht, The Netherlands
| | - E H Sasso
- Crescendo Bioscience, Inc., South San Francisco, CA, USA
| | - J W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, University of Utrecht, G02.228, PO Box 85500, 3508, GA, Utrecht, The Netherlands
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Verhoeven MMA, Tekstra J, van Laar JM, Pethö-Schramm A, Borm MEA, Bijlsma JWJ, Jacobs JWG, Lafeber FPJG, Welsing PMJ. Effect on Costs and Quality-adjusted Life-years of Treat-to-target Treatment Strategies Initiating Methotrexate, or Tocilizumab, or Their Combination in Early Rheumatoid Arthritis. J Rheumatol 2020; 48:495-503. [PMID: 32739893 DOI: 10.3899/jrheum.200067] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE Our study aimed to evaluate the cost effectiveness of initiating tocilizumab (TCZ) ± methotrexate (MTX) versus initiating MTX as treat-to-target treatment strategies over 5 years in early disease-modifying antirheumatic drug (DMARD)-naïve rheumatoid arthritis (RA). METHODS Data on resource use were collected with questionnaires at baseline, 3, 6, 12, and 24 months, and yearly thereafter, and were converted to costs using Dutch reference prices. Quality-adjusted life-years (QALY) were calculated using the EQ5D5L, with utility based on Dutch tariff or estimated by the Health Assessment Questionnaire. To account for missing cost data and QALY data and for sample uncertainty, first bootstraps (10,000 samples) were obtained. Second, single imputation using chained equations nested within these bootstrap samples was performed. An economic evaluation was performed for TCZ + MTX and TCZ, compared to MTX, as initial treatment in a treat-to-target strategy from a healthcare and societal perspective over 5 years. Several sensitivity analyses were performed. RESULTS Mean differences in QALY were small and not significant (TCZ + MTX vs MTX: 0.06, 95% CI -0.02 to 0.13; TCZ vs. MTX: -0.03, 95% CI -0.05 to 0.11). Limited savings in indirect nonhealthcare costs and productivity loss costs (for TCZ only) were observed, but these did not compensate for the higher medication costs. Sensitivity analyses did not materially change these findings, although lower-priced TCZ, or reserving TCZ as initial therapy for prognostically unfavorable RA patients, improved cost effectiveness considerably but did not individually lead to a strategy being cost effective. CONCLUSION Based on our analyses, early initiation of TCZ + MTX is not cost effective compared to MTX initiation in a step-up treat-to-target treatment strategy over 5 years in early RA patients.
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Affiliation(s)
- Maxime M A Verhoeven
- M.M. Verhoeven, PhD student, J. Tekstra, MD, PhD, J.M. van Laar, MD, PhD, J.W. Bijlsma, MD, PhD, J.W. Jacobs, MD, PhD, F.P. Lafeber, PhD, P.M. Welsing, PhD, Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, the Netherlands;
| | - Janneke Tekstra
- M.M. Verhoeven, PhD student, J. Tekstra, MD, PhD, J.M. van Laar, MD, PhD, J.W. Bijlsma, MD, PhD, J.W. Jacobs, MD, PhD, F.P. Lafeber, PhD, P.M. Welsing, PhD, Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jacob M van Laar
- M.M. Verhoeven, PhD student, J. Tekstra, MD, PhD, J.M. van Laar, MD, PhD, J.W. Bijlsma, MD, PhD, J.W. Jacobs, MD, PhD, F.P. Lafeber, PhD, P.M. Welsing, PhD, Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | | | - Johannes W J Bijlsma
- M.M. Verhoeven, PhD student, J. Tekstra, MD, PhD, J.M. van Laar, MD, PhD, J.W. Bijlsma, MD, PhD, J.W. Jacobs, MD, PhD, F.P. Lafeber, PhD, P.M. Welsing, PhD, Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Johannes W G Jacobs
- M.M. Verhoeven, PhD student, J. Tekstra, MD, PhD, J.M. van Laar, MD, PhD, J.W. Bijlsma, MD, PhD, J.W. Jacobs, MD, PhD, F.P. Lafeber, PhD, P.M. Welsing, PhD, Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Floris P J G Lafeber
- M.M. Verhoeven, PhD student, J. Tekstra, MD, PhD, J.M. van Laar, MD, PhD, J.W. Bijlsma, MD, PhD, J.W. Jacobs, MD, PhD, F.P. Lafeber, PhD, P.M. Welsing, PhD, Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Paco M J Welsing
- M.M. Verhoeven, PhD student, J. Tekstra, MD, PhD, J.M. van Laar, MD, PhD, J.W. Bijlsma, MD, PhD, J.W. Jacobs, MD, PhD, F.P. Lafeber, PhD, P.M. Welsing, PhD, Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
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Verhoeven M, Welsing P, Tekstra J, Van Laar JM, Lafeber F, Jacobs JWG, Westgeest AAA. FRI0554 DEVELOPMENT OF A DISEASE ACTIVITY INDEX FOR RA PATIENTS USING HANDSCAN. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Disease activity in RA patients is usually measured by DAS28,1a composite measure consisting of 28 swollen and/or tender joint counts (SJC28/TJC28), an acute phase reactant (APR, e.g. ESR/CRP) and patient’s general health typically using a visual analogue scale (VAS). Particularly assessment of joint counts is time consuming, requires a trained health professional and its inter-observer variety is high. The HandScan is developed to measure inflammation in hand joints using optical spectral transmission (OST, score 0 to 66) without taking time of a health professional.2The correlation between DAS28 and a single measurement of OST is moderate.3We hypothesised that a composite measure including OST (representing joint inflammation), VAS and APR would lead to an appropriate disease activity index.Objectives:To establish a method for assessing disease activity in RA patients using HandScan +/- other disease activity parameters, with cut-offs for remission and low disease activity (LDA).Methods:RA patients, visiting the outpatient clinic of Máxima Medical Center Eindhoven, were eligible for inclusion. Inclusion criteria were; (1) RA according to classification criteria, (2) at least one HandScan and DAS28 measurement performed at the same visit, and (3) aged ≥18. Data was extracted from medical records. A random sample of 2/3 of included patients was used as development cohort, the remaining 1/3 was used as validation cohort. In the development cohort, linear regression analyses were performed to create a formula for an OST index (DASost). In these, DAS28 was the outcome variable and, OST, ESR and VAS were predictors. Also other parameters were tested in the model to see if they increased the fit of the model or modified the association between OST and DAS28. A final model was derived, based on statistical significance of predictors and improvement of model fit (adjusted R-square). Agreement of DAS28 with DASost was tested with the random one-way intraclass correlation coefficient (ICC). DAS28 based remission and LDA were calculated for DASost using the established DAS28 cut-offs (i.e. DASost<2.6 and DASost<3.2). A cut-off for DASost for Boolean remission was defined using receiver operating characteristic (ROC) curves and Youden’s index. In the validation cohort, diagnostic values were calculated for DASost using the cut-offs as defined above.Results:Data of 3358 observations within 1505 unique RA patients were extracted. Patients’ demographic and clinical data are shown in Table 1. The formula for DASost derived in the development cohort was: -0.44 + (OST*0.03) + (male*-0.11) + (LN(ESR)*0.77) + (VAS*0.03). The optimal cut-off on DASost found for Boolean remission was 2.2. The ICC was 0.88 (95%CI 0.87 - 0.89). The explained variance of DASost in the validation cohort was 78%. Diagnostic accuracy of DASost in the validation cohort for DAS28 based remission, LDA and Boolean remission are shown in Table 2.Table 1.Patients’ demographics and clinical dataPatient demographicsNumber of patients1505 (100%)Females976 (65%)Age (year)65.5 (12.1)duration of RA (year)11.5 (8.3)Seropositivity1068 (71%)Clinical dataNumber of observations3358DAS282.5 (1.3)ESR (mm/hr)9.0 (5.0 – 21.0)SJC0 (0 – 2)TJC0 (0 – 2)VAS30.0 (10.0 – 50.0)OST12.6 (5.0)Data are n (%), mean (SD), or median (IQR).Table 2.Diagnostic values of DASostDisease activity stateAU ROCSensitivitySpecificityPPVNPVaccuracyRemission0.9389%83%88%84%86%LDA0.9291%67%89%73%85%Boolean remission0.8791%95%39%98%94%AU ROC= area under the receiver operating characteristic curve, PPV= positive predictive value, NPV= negative predictive value.Conclusion:The HandScan could be used as a tool to quickly assess disease activity in RA patients, if OST is combined with other disease activity parameters into an index.References:[1] Felson D., et al. Ann Rheum Dis. 2011;70:404-13[2] Besselink N., et al. Trials. 2019;20:226[3]van Onna M., et al. Ann Rheum Dis. 2016;75:511-18Disclosure of Interests:Maxime Verhoeven: None declared, Paco Welsing: None declared, Janneke Tekstra: None declared, Jacob M. van Laar Grant/research support from: MSD, Genentech, Consultant of: MSD, Roche, Pfizer, Eli Lilly, BMS, Floris Lafeber Shareholder of: Co-founder and shareholder of ArthroSave BV, Johannes W.G. Jacobs Grant/research support from: for UActEarly published in 2016 in Lancet, Speakers bureau: 2011, Anton A.A. Westgeest: None declared
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Roodenrijs NMT, Van der Goes MC, Welsing P, Tekstra J, Lafeber F, Jacobs JWG, Van Laar JM. FRI0074 UNDERLYING PROBLEMS AND IMPACT OF DIFFICULT-TO-TREAT RHEUMATOID ARTHRITIS: PRELIMINARY RESULTS OF A CROSS-SECTIONAL CASE-CONTROL STUDY. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Difficult-to-treat (D2T) RA is defined here by signs and symptoms, suggestive of active/progressive RA, which are perceived as problematic by rheumatologist and/or patient, and are present despite treatment according to EULAR recommendations including ≥2 b/tsDMARDs with different mechanisms of action.1Its treatment is generally based on trial-and-error and challenged by several underlying problems (Figure 1),2-4of which the exact impact is unknown.Objectives:To obtain insight into the potential problems underlying D2T RA and into its impact.Methods:Consecutive RA patients fulfilling the 2010 ACR/EULAR classification criteria, treated according to current standard of care for ≥1 year, are being enrolled, and categorised as D2T or not (controls). Potential problems underlying D2T RA (Figure 1) and its impact on quality of life and physical functioning were assessed and compared between the two patient groups.Results:In this preliminary analysis, 45 patients are classified as having D2T RA and 100 are controls (Table 1). Fibromyalgia (33 vs 9%), depression (18 vs 4%), a mismatch between patient and rheumatologist in wish to adapt treatment (51 vs 15%) and DMARD discontinuation because of adverse events (96 vs 57%), were statistically significantly more frequent in D2T RA patients than in controls. Higher levels of threatening illness perception and helplessness, and more comorbidities according to EULAR domains were found in D2T RA patients (Figure 2). Other potential problems did not differ statistically significantly.Table 1.Patient characteristicsD2T RA (n=45)Control RA (n=100)p-valueDemographicsAge‡60.9 (10.8)64.5 (10.9)0.061Female, %76720.662Disease characteristicsDisease duration, years17.0 (10.0-27.5)14.0 (8.0-24.0)0.183RF positivity, %76650.212ACPA positivity, %71650.472DAS28-ESR4.0 (3.4-5.7)2.5 (1.8-3.3)<0.0013DrugsNumber of previous DMARDs7 (5-10)2 (1-4)<0.0013Number of current DMARDs2 (1-2)1 (1-2)0.033 Current conventional synthetic DMARDs, %74860.072 Current biological DMARDs, %57390.062 Current targeted synthetic DMARDs, %220<0.0012Glucocorticoid therapy, %5316<0.0012 Dose, mg/day prednisone or equivalent daily, in users7.5 (5.0-13.8)5.0 (5.0-7.5)0.033ACPA: anti-citrullinated protein antibodies; D2T: difficult-to-treat; DAS28-ESR: disease activity score assessing 28 joints using erythrocyte sedimentation rate; DMARD: disease-modifying antirheumatic drug; mg: milligram; n: number; RF: rheumatoid factor.Numbers are median (interquartile range), unless stated otherwise;‡mean (standard deviation).Differences between groups were analysed using: 1. Independent T-test; 2. Chi-square Test; 3. Mann-Whitney U Test.Quality of life and physical functioning were significantly lower in D2T RA patients than in controls (median (IQR) EQ-5D 2.6 (1.8-3.0) vs 1.6 (1.4-2.2) and HAQ 1.8 (1.3-2.1) vs 1.0 (0.5-1.4), p<0.001).Conclusion:This first prospective study describing a cohort of D2T RA patients shows higher occurrences of potential underlying problems and a higher clinical impact. These should be recognised in daily practice and taken into account before considering another DMARD switch. More detailed research on disease state (biomarkers, radiographic damage) and use of medication (drug levels and in-depth interviews on treatment non-adherence) will follow.References:[1]Smolen JSet al. Ann Rheum Dis2020. Epub ahead of print.[2]Buch MH.Ann Rheum Dis2018;77:966–9.[3]de Hair MJHet al. Rheumatology2017;57:1135–44.[4]Roodenrijs NMTet al. Ann Rheum Dis2018;77:1705–9.Disclosure of Interests:Nadia M. T. Roodenrijs: None declared, Marlies C. van der Goes: None declared, Paco Welsing: None declared, Janneke Tekstra: None declared, Floris Lafeber Shareholder of: Co-founder and shareholder of ArthroSave BV, Johannes W. G. Jacobs Grant/research support from: Roche, Jacob M. van Laar Grant/research support from: MSD, Genentech, Consultant of: MSD, Roche, Pfizer, Eli Lilly, BMS
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van der Leeuw MS, Welsing PMJ, de Hair MJH, Jacobs JWG, Marijnissen ACA, Linn-Rasker SP, Fodili F, Bos R, Tekstra J, van Laar JM. Effectiveness of TOcilizumab in comparison to Prednisone In Rheumatoid Arthritis patients with insufficient response to disease-modifying antirheumatic drugs (TOPIRA): study protocol for a pragmatic trial. Trials 2020; 21:313. [PMID: 32248829 PMCID: PMC7133012 DOI: 10.1186/s13063-020-04260-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 03/15/2020] [Indexed: 03/17/2023] Open
Abstract
Background Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease, predominantly affecting joints, which is initially treated with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs). In RA patients with insufficient response to csDMARDs, the addition of prednisone or tocilizumab, a biological DMARD (bDMARD), to the medication has been shown to be effective in reducing RA symptoms. However, which of these two treatment strategies has superior effectiveness and safety is unknown. Methods In this multicenter, investigator-initiated, open-label, randomized, pragmatic trial, we aim to recruit 120 RA patients meeting the 2010 ACR/EULAR classification criteria for RA, with active disease defined as a Clinical Disease Activity Index (CDAI) > 10 and at least one swollen joint of the 28 assessed. Patients must be on stable treatment with csDMARDs for ≥ 8 weeks prior to screening and must have been treated with ≥ 2 DMARDs, of which a maximum of one tumor necrosis factor inhibitor (a class of bDMARDs) is allowed. Previous use of other bDMARDs or targeted synthetic DMARDs is not allowed. Patients will be randomized in a 1:1 ratio to receive either tocilizumab (subcutaneously at 162 mg/week) or prednisone (orally at 10 mg/day) as an addition to their current csDMARD therapy. Study visits will be performed at screening; baseline; and months 1, 2, 3, 6, 9, and 12. Study medication will be tapered in case of clinical remission (CDAI ≤ 2.8 and ≤ 1 swollen joint at two consecutive 3-monthly visits) with careful monitoring of disease activity. In case of persistent high disease activity at or after month 3 (CDAI > 22 at any visit or > 10 at two consecutive visits), patients will switch to the other strategy arm. Primary outcome is a change in CDAI from baseline to 12 months. Secondary outcomes are additional clinical response and quality of life measures, drug retention rate, radiographically detectable progression of joint damage, functional ability, and cost utility. Safety outcomes include tocilizumab-associated adverse events (AEs), glucocorticoid-associated AEs, and serious AEs. Discussion This will be the first randomized clinical trial comparing addition of oral prednisone or of tocilizumab head to head in RA patients with insufficient response to csDMARD therapy. It will yield important information for clinical rheumatology practice. Trial registration This trial was prospectively registered in the Netherlands Trial Register on October 7, 2019 (NL8070). The Netherlands Trial Register contains all items from the World Health Organization Trial Registration Data Set.
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Affiliation(s)
| | - Paco M J Welsing
- University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Maria J H de Hair
- University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Johannes W G Jacobs
- University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Anne C A Marijnissen
- University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | | | - Faouzia Fodili
- Reumazorg Zuid West Nederland, Streuvelslaan 18, 4707 CH, Roosendaal, The Netherlands
| | - Reinhard Bos
- Medical Center Leeuwarden, Henri Dunantweg 2, 8934 AD, Leeuwarden, The Netherlands
| | - Janneke Tekstra
- University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Jacob M van Laar
- University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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Dirikgil E, Tas SW, Rutgers A, Verhoeven PMJ, van Laar JM, Hagen EC, Tekstra J, L Hak AE, van Paassen P, Kok MR, Goldschmeding R, van Dam B, Douma CE, Remmelts HHF, Sanders JF, Jonker JT, Rabelink TJ, Damoiseaux JGMC, Bernelot Moens HJ, J W Bos W, Teng YKO. A Dutch consensus statement on the diagnosis and treatment of ANCA-associated vasculitis. Neth J Med 2020; 78:71-82. [PMID: 32332176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
INTRODUCTION Despite the availability of several guidelines on the diagnosis and treatment of antineutrophil cytoplasmic antibody-associated vasculitis (AAV), clinical routine practice will only improve when an implementation strategy is in place to support clinical decision making and adequate implementation of guidelines. We describe here an initiative to establish national and multidisciplinary consensus on broad aspects of the diagnosis and treatment of AAV relevant to daily clinical practice in the Netherlands. METHODS A multidisciplinary working group of physicians in the Netherlands with expertise on AAV addressed the broad spectrum of diagnosis, terminology, and immunosuppressive and non-immunosuppressive treatment, including an algorithm for AAV patients. Based on recommendations from (inter)national guidelines, national consensus was established using a Delphi-based method during a conference in conjunction with a nationally distributed online consensus survey. Cut-off for consensus was 70% (dis)agreement. RESULTS Ninety-eight professionals were involved in the Delphi procedure to assess consensus on 50 statements regarding diagnosis, treatment, and organisation of care for AAV patients. Consensus was achieved for 37/50 statements (74%) in different domains of diagnosis and treatment of AAV including consensus on the treatment algorithm for AAV. CONCLUSION We present a national, multidisciplinary consensus on a diagnostic strategy and treatment algorithm for AAV patients as part of the implementation of (inter)national guideline-derived recommendations in the Netherlands. Future studies will focus on evaluating local implementation of treatment protocols for AAV, and assessments of current and future clinical practice variation in the care for AAV patients in the Netherlands.
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Affiliation(s)
- E Dirikgil
- Leiden University Medical Center, Leiden, the Netherlands
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Pouw JN, Leijten EFA, Tekstra J, Balak DMW, Radstake TRDJ. [Spectrum of psoriatic conditions]. Ned Tijdschr Geneeskd 2019; 163:D3936. [PMID: 31361418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Psoriasis is a common immune-mediated inflammatory condition that primarily affects skin and nails. 6-41% of psoriasis patients develop psoriatic arthritis (PsA). The ways in which PsA can manifest itself include peripheral arthritis, axial spondyloarthritis, dactylitis and enthesitis. This heterogeneous clinical picture makes it sometimes difficult to recognise PsA,potentially resulting in permanent joint damage and functional impairments. Some people see psoriasis and PsA as 2 manifestations of a single disease because the multifactorial origins of psoriasis and PsA are largely overlapping. Psoriatic conditions are associated with a high burden of disease, reduced quality of life and comorbidities, including psychiatric and cardiovascular conditions. In recent years, several immunological pathways, immune cells and cytokines have been identified as important factors in pathophysiology and as new therapeutic targets. For many PsA patients treatment with disease modifying anti-rheumatic drugs leads to significant improvement of symptoms and quality of life.
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Affiliation(s)
- Juliëtte N Pouw
- UMC Utrecht, afd. Reumatologie en Klinische Immunologie, Utrecht
- Contact: J.N. Pouw
| | | | - Janneke Tekstra
- UMC Utrecht, afd. Reumatologie en Klinische Immunologie, Utrecht
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Verhoeven MM, de Hair MJ, Tekstra J, Bijlsma JW, van Laar JM, Pethoe-Schramm A, Borm ME, Ter Borg EJ, Linn-Rasker SP, Teitsma XM, Lafeber FP, Jacobs JW, Welsing PM. Initiating tocilizumab, with or without methotrexate, compared with starting methotrexate with prednisone within step-up treatment strategies in early rheumatoid arthritis: an indirect comparison of effectiveness and safety of the U-Act-Early and CAMERA-II treat-to-target trials. Ann Rheum Dis 2019; 78:1333-1338. [PMID: 31196844 DOI: 10.1136/annrheumdis-2019-215304] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 05/24/2019] [Accepted: 05/25/2019] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Methotrexate (MTX), often combined with low moderately dosed prednisone, is still the cornerstone of initial treatment for early rheumatoid arthritis (RA). It is not known how this strategy compares with initial treatment with a biological. We therefore compared the effectiveness of tocilizumab (TCZ), or TCZ plus MTX (TCZ+MTX) with MTX plus 10 mg prednisone (MTX+pred), all initiated within a treat-to-target treatment strategy in early RA. METHODS Using individual patient data of two trials, we indirectly compared tight-controlled treat-to-target strategies initiating TCZ (n=103), TCZ+MTX (n=106) or MTX+pred (n=117), using initiation of MTX (n=227) as reference. Primary outcome was Disease Activity Score assessing 28 joints (DAS28) over 24 months. To assess the influence of acute phase reactants (APRs), a disease activity composite outcome score without APR (ie, modification of the Clinical Disease Activity Index (m-CDAI)) was analysed. Secondary outcomes were remission (several definitions), physical function and radiographic progression. Multilevel models were used to account for clustering within trials and patients over time, correcting for relevant confounders. RESULTS DAS28 over 24 months was lower for TCZ+MTX than for MTX+Pred (mean difference: -0.62 (95% CI -1.14 to -0.10)). Remission was more often achieved in TCZ+MTX and in TCZ versus MTX+pred (p=0.02/0.05, respectively). Excluding APRs from the disease activity outcome score, TCZ-based strategies showed a slightly higher m-CDAI compared with MTX+pred, but this was not statistically significant. Other outcomes were also not statistically significantly different between the strategies. CONCLUSIONS In patients with early RA, although TCZ-based strategies resulted in better DAS28 and remission rates compared with MTX+pred, at least part of these effects may be due to a specific effect of TCZ on APRs.
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Affiliation(s)
| | | | - Janneke Tekstra
- Rheumatology and Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | | | - Jacob M van Laar
- Rheumatology and Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | | | | | - Evert-Jan Ter Borg
- Department of Rheumatology, Sint Antonius Ziekenhuis, Nieuwegein, The Netherlands
| | | | - Xavier M Teitsma
- Rheumatology and Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | - Floris Pjg Lafeber
- Rheumatology and Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | - Johannes Wg Jacobs
- Rheumatology and Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
| | - Paco Mj Welsing
- Rheumatology and Clinical Immunology, UMC Utrecht, Utrecht, The Netherlands
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Verhoeven MMA, Welsing PMJ, Bijlsma JWJ, van Laar JM, Lafeber FPJG, Tekstra J, Jacobs JWG. Effectiveness of Remission Induction Strategies for Early Rheumatoid Arthritis: a Systematic Literature Review. Curr Rheumatol Rep 2019; 21:24. [PMID: 31016409 PMCID: PMC6478774 DOI: 10.1007/s11926-019-0821-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW To review the effectiveness of remission induction strategies compared to single csDMARD-initiating strategies according to current guidelines in early RA. RECENT FINDINGS Twenty-nine studies, heterogeneous on, e.g., specific treatment strategy and remission outcome used, were identified. Using DAS28-remission over 12 months, 13 (76%) of 17 remission induction strategies showed significantly more patients achieving remission. Pooled relative "risk" was 1.73 [95%CI 1.59-1.88] for bDMARD-based remission induction strategies and 1.20 [95%CI 1.03-1.40] for combination csDMARD-based remission induction strategies compared to single csDMARD-initiating strategies. When additional glucocorticoid "bridging therapy" was used in single csDMARD-initiating strategies, the higher proportion patients achieving remission in remission induction strategies was no longer statistically significant (pooled RR 1.06 [95%CI 0.83-1.35]). For other remission outcomes, results were in line with above. Remission induction strategies are more effective in achieving remission compared to single csDMARD-initiating strategies, possibly more so in bDMARD-based induction strategies. However, compared to single csDMARD-initiating strategies with glucocorticoids, induction strategies may not be more effective.
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Affiliation(s)
- M M A Verhoeven
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, G02.228, P.O. Box 85500, 3508GA, Utrecht, The Netherlands.
| | - P M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, G02.228, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - J W J Bijlsma
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, G02.228, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - J M van Laar
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, G02.228, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - F P J G Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, G02.228, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - J Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, G02.228, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - J W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, G02.228, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
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Besselink NJ, Westgeest AAA, Klaasen R, Gamala M, van Woerkom JM, Tekstra J, Verhoeven MMA, Van Spil WE, Lafeber FPJG, Marijnissen ACA, Van Laar JM, Jacobs JWG. Novel optical spectral transmission (OST)-guided versus conventionally disease activity-guided treatment: study protocol of a randomized clinical trial on guidance of a treat-to-target strategy for early rheumatoid arthritis. Trials 2019; 20:226. [PMID: 30999969 PMCID: PMC6471780 DOI: 10.1186/s13063-019-3285-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 03/11/2019] [Indexed: 11/10/2022] Open
Abstract
Background Assessment of disease activity is a critical component of tight-control, treat-to-target treatment strategies of rheumatoid arthritis (RA). Recently, the HandScan has been validated as a novel method for objectively assessing RA disease activity in only 1.5 min, using optical spectral transmission (OST) in hands and wrists. We describe the protocol of a randomized controlled clinical trial (RCT) to investigate whether HandScan-guided treatment aimed at ‘HandScan remission’ (HandScan arm) is at least as effective as and more cost-effective than clinically guided treatment aimed at ACR/EULAR 2011 Boolean remission (DAS arm). Methods/design The study is a multi-center, double-blind, non-inferiority RCT of 18 months duration. Patients ≥ 18 years with newly diagnosed, disease-modifying antirheumatic drug (DMARD)-naïve RA according to the ACR 2010 classification criteria, will be randomized to the DAS arm or the HandScan arm. The efficacy of the arms will be compared by evaluating Health Assessment Questionnaire (HAQ) scores (primary outcome) after 18 months of DMARD therapy, aimed at remission. The equivalence margin in HAQ scores between study arms is 0.2. Secondary outcomes are differences in cost-effectiveness and radiographic joint damage between treatment arms. The non-inferiority sample size calculation to obtain a power of 80% at a one-sided p value of 0.05, with 10% dropouts, resulted in 61 patients per arm. In both arms, DMARD strategy will be intensified monthly according to predefined steps until remission is achieved; in both arms DMARDs and treatment steps are identical. If sustained remission, defined as remission that persists consistently over three consecutive months, is achieved, DMARD therapy will be tapered. Discussion The study protocol and the specifically designed decision-making software application allow for implementation of this RCT. To test a novel method of assessing disease activity and comparing (cost-)effectiveness with the contemporary method in treat-to-target DMARD strategies in early RA patients. Trial registration Dutch Trial Register, NTR6388. Registered on 6 April 2017 (NL50026.041.14). Protocol version 3.0, 19-01-2017. Electronic supplementary material The online version of this article (10.1186/s13063-019-3285-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- N J Besselink
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, G02.230, P.O. Box 85500, 3508GA, Utrecht, The Netherlands.
| | - A A A Westgeest
- Rheumatology, Máxima Medical Center, Eindhoven, The Netherlands
| | - R Klaasen
- Rheumatology, Meander Medical Center Amersfoort, Amersfoort, The Netherlands
| | - M Gamala
- Rheumatology, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands
| | - J M van Woerkom
- Rheumatology, Gelre Ziekenhuizen, Apeldoorn, The Netherlands
| | - J Tekstra
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, G02.230, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - M M A Verhoeven
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, G02.230, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - W E Van Spil
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, G02.230, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - F P J G Lafeber
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, G02.230, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - A C A Marijnissen
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, G02.230, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - J M Van Laar
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, G02.230, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
| | - J W G Jacobs
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, G02.230, P.O. Box 85500, 3508GA, Utrecht, The Netherlands
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Roodenrijs NMT, van der Goes MC, Welsing PMJ, Tekstra J, van Laar JM, Lafeber FPJG, Bijlsma JWJ, Jacobs JWG. Is prediction of clinical response to methotrexate in individual rheumatoid arthritis patients possible? A systematic literature review. Joint Bone Spine 2019; 87:13-23. [PMID: 30981868 DOI: 10.1016/j.jbspin.2019.04.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 04/02/2019] [Indexed: 01/11/2023]
Abstract
OBJECTIVES To identify, by a systematic literature review, predictors of clinical response to methotrexate treatment in rheumatoid arthritis patients, which would facilitate personalised treatment. METHODS PubMed and Embase databases were searched for original articles. Additionally, congress abstracts of European League Against Rheumatism and American College of Rheumatology annual meetings of the past 2 years were screened. Articles describing predictors of clinical response to methotrexate after 3 to 6 months were included, since this reflects the time span used to determine treatment effectiveness and decide on treatment changes in treat-to-target recommendations. RESULTS Thirty articles were included, containing 100 different predictors and 11 predictive models. Nineteen predictors and 2 predictive models were studied in multiple cohorts. Female gender was found to be a predictor of non-response in two studies (odds ratios 0.55 and 0.54), but these findings could not be replicated in two other studies. In two studies, smoking predicted non-response (adjusted odds ratios 0.35 and 0.60), although this was inconsistent over all response criteria assessed. Rheumatoid factor positivity predicted non-response in two studies (adjusted hazard ratio 0.61, adjusted odds ratio 0.4), but this was not found in three other studies. Heterogeneity in studies prohibited further comparison of predictive values between studies. Additionally, a validated epigenetic model was found (area under the curve 0.90 and 0.91). CONCLUSIONS No predictors were identified reliably predicting clinical response to methotrexate after 3 to 6 months in the individual patient: clinical predictors were weak. However, a promising epigenetic model was found that needs further validation.
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Affiliation(s)
- Nadia M T Roodenrijs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands.
| | - Marlies C van der Goes
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Paco M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Jacob M van Laar
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Floris P J G Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Johannes W J Bijlsma
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Johannes W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands
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Wienke J, Bellutti Enders F, Lim J, Mertens JS, van den Hoogen LL, Wijngaarde CA, Yeo JG, Meyer A, Otten HG, Fritsch-Stork RDE, Kamphuis SSM, Hoppenreijs EPAH, Armbrust W, van den Berg JM, Hissink Muller PCE, Tekstra J, Hoogendijk JE, Deakin CT, de Jager W, van Roon JAG, van der Pol WL, Nistala K, Pilkington C, de Visser M, Arkachaisri T, Radstake TRDJ, van der Kooi AJ, Nierkens S, Wedderburn LR, van Royen-Kerkhof A, van Wijk F. Galectin-9 and CXCL10 as Biomarkers for Disease Activity in Juvenile Dermatomyositis: A Longitudinal Cohort Study and Multicohort Validation. Arthritis Rheumatol 2019; 71:1377-1390. [PMID: 30861625 PMCID: PMC6973145 DOI: 10.1002/art.40881] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 03/05/2019] [Indexed: 12/14/2022]
Abstract
Objective Objective evaluation of disease activity is challenging in patients with juvenile dermatomyositis (DM) due to a lack of reliable biomarkers, but it is crucial to avoid both under‐ and overtreatment of patients. Recently, we identified 2 proteins, galectin‐9 and CXCL10, whose levels are highly correlated with the extent of juvenile DM disease activity. This study was undertaken to validate galectin‐9 and CXCL10 as biomarkers for disease activity in juvenile DM, and to assess their disease specificity and potency in predicting the occurrence of flares. Methods Levels of galectin‐9 and CXCL10 were measured by multiplex immunoassay in serum samples from 125 unique patients with juvenile DM in 3 international cross‐sectional cohorts and a local longitudinal cohort. The disease specificity of both proteins was examined in 50 adult patients with DM or nonspecific myositis (NSM) and 61 patients with other systemic autoimmune diseases. Results Both cross‐sectionally and longitudinally, galectin‐9 and CXCL10 outperformed the currently used laboratory marker, creatine kinase (CK), in distinguishing between juvenile DM patients with active disease and those in remission (area under the receiver operating characteristic curve [AUC] 0.86–0.90 for galectin‐9 and CXCL10; AUC 0.66–0.68 for CK). The sensitivity and specificity for active disease in juvenile DM was 0.84 and 0.92, respectively, for galectin‐9 and 0.87 and 1.00, respectively, for CXCL10. In 10 patients with juvenile DM who experienced a flare and were prospectively followed up, continuously elevated or rising biomarker levels suggested an imminent flare up to several months before the onset of symptoms, even in the absence of elevated CK levels. Galectin‐9 and CXCL10 distinguished between active disease and remission in adult patients with DM or NSM (P = 0.0126 for galectin‐9 and P < 0.0001 for CXCL10) and were suited for measurement in minimally invasive dried blood spots (healthy controls versus juvenile DM, P = 0.0040 for galectin‐9 and P < 0.0001 for CXCL10). Conclusion In this study, galectin‐9 and CXCL10 were validated as sensitive and reliable biomarkers for disease activity in juvenile DM. Implementation of these biomarkers into clinical practice as tools to monitor disease activity and guide treatment might facilitate personalized treatment strategies.
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Affiliation(s)
- Judith Wienke
- University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Felicitas Bellutti Enders
- Lausanne University Hospital, Lausanne, Switzerland, and University Hospital Basel, Basel, Switzerland
| | - Johan Lim
- Academic Medical Centre Amsterdam, Amsterdam, The Netherlands
| | - Jorre S Mertens
- University Medical Centre Utrecht, Utrecht, The Netherlands, and Radboud University Medical Centre, Nijmegen, The Netherlands
| | | | | | - Joo Guan Yeo
- KK Women's and Children's Hospital, Duke-NUS Medical School, SingHealth Duke-NUS Academic Medical Center, Singapore
| | | | - Henny G Otten
- University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Ruth D E Fritsch-Stork
- University Medical Centre Utrecht, Utrecht, The Netherlands, Sigmund Freud Private University, Vienna, Austria, and Hanusch Krankenhaus und Ludwig Boltzmann Institut für Osteologie, Vienna, Austria
| | - Sylvia S M Kamphuis
- Sophia Children's Hospital, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | | | - Wineke Armbrust
- Beatrix Children's Hospital, University Medical Centre Groningen, Groningen, The Netherlands
| | | | - Petra C E Hissink Muller
- Sophia Children's Hospital, Erasmus University Medical Centre, Rotterdam, The Netherlands, and Leiden University Medical Centre, Leiden, The Netherlands
| | | | | | - Claire T Deakin
- University College London, University College London Hospital, the NIHR Biomedical Research Centre at Great Ormond Street Hospital, and Great Ormond Street Hospital, London, UK
| | - Wilco de Jager
- University Medical Centre Utrecht, Utrecht, The Netherlands
| | | | | | | | | | | | - Thaschawee Arkachaisri
- KK Women's and Children's Hospital, Duke-NUS Medical School, SingHealth Duke-NUS Academic Medical Center, Singapore
| | | | | | | | - Lucy R Wedderburn
- University College London, University College London Hospital, the NIHR Biomedical Research Centre at Great Ormond Street Hospital, and Great Ormond Street Hospital, London, UK
| | | | - Femke van Wijk
- University Medical Centre Utrecht, Utrecht, The Netherlands
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Roodenrijs NMT, de Hair MJH, Wheater G, Elshahaly M, Tekstra J, Teng YKO, Lafeber FPJG, Hwang CC, Liu X, Sasso EH, van Laar JM. The multi-biomarker disease activity score tracks response to rituximab treatment in rheumatoid arthritis patients: a post hoc analysis of three cohort studies. Arthritis Res Ther 2018; 20:256. [PMID: 30458871 PMCID: PMC6245625 DOI: 10.1186/s13075-018-1750-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 10/18/2018] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND A multi-biomarker disease activity (MBDA) score has been validated as an objective measure of disease activity in rheumatoid arthritis (RA) and shown to track response to treatment with several disease-modifying anti-rheumatic drugs (DMARDs). The objective of this study was to evaluate the ability of the MBDA score to track response to treatment with rituximab. METHODS Data were used from 57 RA patients from three cohorts treated with rituximab 1000 mg and methylprednisolone 100 mg at days 1 and 15. The MBDA score was assessed in serum samples obtained at baseline and 6 months. Spearman's rank correlation coefficients were calculated for baseline values, 6-month values, and change from baseline to 6 months (∆), between MBDA score and the following measures: disease activity score assessing 28 joints (DAS28) using erythrocyte sedimentation rate (ESR) or high-sensitivity C-reactive protein (hsCRP), ESR, (hs)CRP, swollen and tender joint counts assessing 28 joints (SJC28, TJC28), patient visual analogue scale for general health (VAS-GH), health assessment questionnaire (HAQ), and radiographic progression over 12 months using Sharp/van der Heijde score (SHS), as well as six bone turnover markers. Additionally, multivariable linear regression analyses were performed using these measures as dependent variable and the MBDA score as independent variable, with adjustment for relevant confounders. The association between ∆MBDA score and European League Against Rheumatism (EULAR) response at 6 months was assessed with adjustment for relevant confounders. RESULTS At baseline, the median MBDA score and DAS28-ESR were 54.0 (IQR 44.3-70.0) and 6.3 (IQR 5.4-7.1), respectively. MBDA scores correlated significantly with DAS28-ESR, DAS28-hsCRP, ESR and (hs)CRP at baseline and 6 months. ∆MBDA score correlated significantly with changes in these measures. ∆MBDA score was associated with EULAR good or moderate response (adjusted OR = 0.89, 95% CI = 0.81-0.98, p = 0.02). Neither baseline MBDA score nor ΔMBDA score correlated statistically significantly with ∆SHS (n = 11) or change in bone turnover markers (n = 23), although ∆SHS ≥ 5 was observed in 5 (56%) of nine patients with high MBDA scores. CONCLUSIONS We have shown, for the first time, that the MBDA score tracked disease activity in RA patients treated with rituximab and that change in MBDA score reflected the degree of treatment response.
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Affiliation(s)
- Nadia M. T. Roodenrijs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands
| | - Maria J. H. de Hair
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands
| | - Gill Wheater
- Department of Biochemistry, The James Cook University Hospital, Marton Road, Middlesborough, TS4 3BW UK
| | - Mohsen Elshahaly
- Department of Rheumatology and Rehabilitation, Suez Canal University, Suez Canal University Circular Road, Ismailia, 411522 Egypt
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands
| | - Y. K. Onno Teng
- Department of Nephrology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Floris P. J. G. Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands
| | - Ching Chang Hwang
- Crescendo Bioscience, 341 Oyster Point Blvd, South San Franscisco, CA 94080 USA
| | - Xinyu Liu
- Crescendo Bioscience, 341 Oyster Point Blvd, South San Franscisco, CA 94080 USA
| | - Eric H. Sasso
- Crescendo Bioscience, 341 Oyster Point Blvd, South San Franscisco, CA 94080 USA
| | - Jacob M. van Laar
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands
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Ghiti Moghadam M, Lamers-Karnebeek FBG, Vonkeman HE, ten Klooster PM, Tekstra J, Schilder AM, Visser H, Sasso EH, Chernoff D, Lems WF, van Schaardenburg DJ, Landewe R, Bernelot Moens HJ, Radstake TRDJ, van Riel PLCM, van de Laar MAFJ, Jansen TL. Multi-biomarker disease activity score as a predictor of disease relapse in patients with rheumatoid arthritis stopping TNF inhibitor treatment. PLoS One 2018; 13:e0192425. [PMID: 29791439 PMCID: PMC5965880 DOI: 10.1371/journal.pone.0192425] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 01/09/2018] [Indexed: 01/04/2023] Open
Abstract
Objective Successfully stopping or reducing treatment for patients with rheumatoid arthritis (RA) in low disease activity (LDA) may improve cost-effectiveness of care. We evaluated the multi-biomarker disease activity (MBDA) score as a predictor of disease relapse after discontinuation of TNF inhibitor (TNFi) treatment. Methods 439 RA patients who were randomized to stop TNFi treatment in the POET study were analyzed post-hoc. Three indicators of disease relapse were assessed over 12 months: 1) restarting TNFi treatment, 2) escalation of any DMARD therapy and 3) physician-reported flare. MBDA score was assessed at baseline. Associations between MBDA score and disease relapse were examined using univariate analysis and multivariate logistic regression. Results At baseline, 50.1%, 35.3% and 14.6% of patients had low (<30), moderate (30−44) or high (>44) MBDA scores. Within 12 months, 49.9% of patients had restarted TNFi medication, 59.0% had escalation of any DMARD and 57.2% had ≥1 physician-reported flare. MBDA score was associated with each indicator of relapse. At least one indicator of relapse was observed in 59.5%, 68.4% and 81.3% of patients with low, moderate or high MBDA scores, respectively (P = 0.004). Adjusted for baseline DAS28-ESR, disease duration, BMI and erosions, high MBDA scores were associated with increased risk for restarting TNFi treatment (OR = 1.85, 95% CI 1.00–3.40), DMARD escalation (OR = 1.99, 95% CI 1.01–3.94) and physician-reported flare (OR = 2.00, 95% 1.06–3.77). Conclusion For RA patients with stable LDA who stopped TNFi, a high baseline MBDA score was independently predictive of disease relapse within 12 months. The MBDA score may be useful for identifying patients at risk of relapse after TNFi discontinuation.
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Affiliation(s)
- Marjan Ghiti Moghadam
- Department of Rheumatology, Medisch Spectrum Twente, Enschede, The Netherlands
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
- * E-mail:
| | | | - Harald E. Vonkeman
- Department of Rheumatology, Medisch Spectrum Twente, Enschede, The Netherlands
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
| | - Peter M. ten Klooster
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
| | - Janneke Tekstra
- Department of Rheumatology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Henk Visser
- Department of Rheumatology, Rijnstate, Arnhem, The Netherlands
| | - Eric H. Sasso
- Crescendo Bioscience, Inc., South San Francisco, CA, United States of America
| | - David Chernoff
- Crescendo Bioscience, Inc., South San Francisco, CA, United States of America
| | - Willem F. Lems
- Department of Rheumatology, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Robert Landewe
- Department of Rheumatology, AMC Amsterdam, Amsterdam, the Netherlands
| | | | | | - Piet L. C. M. van Riel
- Department of IQ Healthcare, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mart A. F. J. van de Laar
- Department of Rheumatology, Medisch Spectrum Twente, Enschede, The Netherlands
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
| | - Tim L. Jansen
- Department of Rheumatology, VieCuri Medical Center, Venlo, The Netherlands
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Haasnoot AMJW, Sint Jago NFM, Tekstra J, de Boer JH. Impact of Uveitis on Quality of Life in Adult Patients With Juvenile Idiopathic Arthritis. Arthritis Care Res (Hoboken) 2017; 69:1895-1902. [DOI: 10.1002/acr.23224] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 02/14/2017] [Indexed: 11/08/2022]
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Ghiti Moghadam M, Vonkeman HE, Ten Klooster PM, Tekstra J, van Schaardenburg D, Starmans-Kool M, Brouwer E, Bos R, Lems WF, Colin EM, Allaart CF, Meek IL, Landewé R, Bernelot Moens HJ, van Riel PLCM, van de Laar MAFJ, Jansen TL. Stopping Tumor Necrosis Factor Inhibitor Treatment in Patients With Established Rheumatoid Arthritis in Remission or With Stable Low Disease Activity: A Pragmatic Multicenter, Open-Label Randomized Controlled Trial. Arthritis Rheumatol 2017; 68:1810-7. [PMID: 26866428 DOI: 10.1002/art.39626] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Accepted: 02/02/2016] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Tumor necrosis factor inhibitor (TNFi) biologic agents are an effective treatment for rheumatoid arthritis (RA). It is unclear whether patients whose disease is in remission or who have stable low disease activity need to continue use of TNFi or can stop this treatment. This study was undertaken to assess whether patients with established RA who are in remission or have stable low disease activity can effectively and safely stop their TNFi therapy. METHODS The study was designed as a pragmatic multicenter, open-label randomized controlled trial. Inclusion criteria were a diagnosis of RA according to the American College of Rheumatology 1987 classification criteria, as well as use of a TNFi for at least 1 year along with a stable dose of disease-modifying antirheumatic drugs and a Disease Activity Score in 28 joints (DAS28) of <3.2 over the 6 months preceding trial inclusion. Patients were randomized in a 2:1 ratio to either stop or continue treatment with their current TNFi. Flare was defined as a DAS28 of ≥3.2 during the 12-month follow-up period and an increase in score of ≥0.6 compared to the baseline DAS28. RESULTS In total, 531 patients were allocated to the stop group and 286 to the TNFi continuation group. At 12 months, more patients had experienced a flare in the stop group (272 [51.2%] of 531) than in the continuation group (52 [18.2%] of 286; P < 0.001). The hazard ratio for occurrence of a flare after stopping TNFi was 3.50 (95% confidence interval [95% CI] 2.60-4.72). The mean DAS28 in the stop group was significantly higher during the follow-up period compared to that in the continuation group (P < 0.001). Of the 195 patients who restarted TNFi treatment after experiencing a flare and within 26 weeks after stopping, 165 (84.6%) had regained a DAS28 of <3.2 by 6 months later, and the median time to a regained DAS28 of <3.2 was 12 weeks (95% Cl 10.7-13.3). There were more hospitalizations in the stop group than in the continuation group (6.4% versus 2.4%). CONCLUSION Stopping TNFi treatment results in substantially more flares than does continuation of TNFi in patients with established RA in remission or with stable low disease activity.
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Affiliation(s)
- Marjan Ghiti Moghadam
- Arthritis Center Twente Medical Spectrum Twente and University of Twente, Enschede, The Netherlands
| | - Harald E Vonkeman
- Arthritis Center Twente Medical Spectrum Twente and University of Twente, Enschede, The Netherlands
| | - Peter M Ten Klooster
- Arthritis Center Twente Medical Spectrum Twente and University of Twente, Enschede, The Netherlands
| | | | | | - Mirian Starmans-Kool
- Atrium Medical Center, Heerlen, The Netherlands, and Orbis Medical Center, Sittard-Geleen, The Netherlands
| | | | - Reinhard Bos
- Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Willem F Lems
- VU University Medical Center and Reade Medical Center, Amsterdam, The Netherlands
| | - Edgar M Colin
- Hospital Group Almelo, Almelo, The Netherlands, and Hengelo Twente Hospital Group, Hengelo, The Netherlands
| | | | - Inger L Meek
- Radboud University Medical Center, Nijmegen, The Netherlands
| | - Robert Landewé
- Academic Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Hein J Bernelot Moens
- Hospital Group Almelo, Almelo, The Netherlands, and Hengelo Twente Hospital Group, Hengelo, The Netherlands
| | | | - Mart A F J van de Laar
- Arthritis Center Twente Medical Spectrum Twente and University of Twente, Enschede, The Netherlands
| | - Tim L Jansen
- VieCuri Medical Center, Rheumatology, Venlo, The Netherlands
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Voshaar MAHO, Moghadam MG, Vonkeman HE, Ten Klooster PM, van Schaardenburg D, Tekstra J, Visser H, van de Laar MAFJ, Jansen TL. Measuring Disease Exacerbation and Flares in Rheumatoid Arthritis: Comparison of Commonly Used Disease Activity Indices and Individual Measures. J Rheumatol 2017; 44:1118-1124. [PMID: 28507187 DOI: 10.3899/jrheum.160915] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/07/2017] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To evaluate and compare the utility of commonly used outcome measures for assessing disease exacerbation or flare in patients with rheumatoid arthritis (RA). METHODS Data from the Dutch Potential Optimalisation of (Expediency) and Effectiveness of Tumor necrosis factor-α blockers (POET) study, in which 462 patients discontinued their tumor necrosis factor-α inhibitor, were used. The ability of different measures to discriminate between those with and without physician-reported flare or medication escalation at the 3-month visit (T2) was evaluated by calculating effect size (ES) statistics. Responsiveness to increased disease activity was compared between measures by standardizing change scores (SCS) from baseline to the 3-month visit. Finally, the incremental validity of individual outcome measures beyond the Simplified Disease Activity Score was evaluated using logistic regression analysis. RESULTS The SCS were greater for disease activity indices than for any of the individual measures. The 28-joint Disease Activity Score, Clinical Disease Activity Index, and Simplified Disease Activity Index performed similarly. Pain and physician's (PGA) and patient's global assessment (PtGA) of disease activity were the most responsive individual measures. Similar results were obtained for discriminative ability, with greatest ES for disease activity indices followed by pain, PGA, and PtGA. Pain was the only measure to demonstrate incremental validity beyond SDAI in predicting 3-month flare status. CONCLUSION These results support the use of composite disease activity indices, patient-reported pain and disease activity, and physician-reported disease activity for measuring disease exacerbation or identifying flares of RA. Physical function, acute-phase response, and the auxiliary measures fatigue, participation, and emotional well-being performed poorly.
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Affiliation(s)
- Martijn A H Oude Voshaar
- From the Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente, Enschede; Department of Rheumatology, VU University Medical Center and Reade Medical Center, Amsterdam; Department of Rheumatology, University Medical Center Utrecht, Utrecht; Department of Rheumatology, Rijnstate Medical Center, Arnhem; Department of Rheumatology, Viecuri Medical Center, Venlo, the Netherlands; Department of Rheumatology, University Hospital Leuven, Leuven, Belgium.,M.A. Oude Voshaar, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; M. Ghiti Moghadam, MD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Department of Rheumatology, University Hospital Leuven, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; H.E. Vonkeman, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; P.M. ten Klooster, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; D. van Schaardenburg, MD, PhD, Department of Rheumatology, VU University Medical Center and Reade Medical Center; J. Tekstra, MD, PhD, Department of Rheumatology, University Medical Center Utrecht; H. Visser, MD, PhD, Department of Rheumatology, Rijnstate Medical Center; M.A. van de Laar, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; T.L. Jansen, MD, PhD, Department of Rheumatology, Viecuri Medical Center
| | - Marjan Ghiti Moghadam
- From the Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente, Enschede; Department of Rheumatology, VU University Medical Center and Reade Medical Center, Amsterdam; Department of Rheumatology, University Medical Center Utrecht, Utrecht; Department of Rheumatology, Rijnstate Medical Center, Arnhem; Department of Rheumatology, Viecuri Medical Center, Venlo, the Netherlands; Department of Rheumatology, University Hospital Leuven, Leuven, Belgium. .,M.A. Oude Voshaar, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; M. Ghiti Moghadam, MD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Department of Rheumatology, University Hospital Leuven, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; H.E. Vonkeman, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; P.M. ten Klooster, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; D. van Schaardenburg, MD, PhD, Department of Rheumatology, VU University Medical Center and Reade Medical Center; J. Tekstra, MD, PhD, Department of Rheumatology, University Medical Center Utrecht; H. Visser, MD, PhD, Department of Rheumatology, Rijnstate Medical Center; M.A. van de Laar, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; T.L. Jansen, MD, PhD, Department of Rheumatology, Viecuri Medical Center.
| | - Harald E Vonkeman
- From the Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente, Enschede; Department of Rheumatology, VU University Medical Center and Reade Medical Center, Amsterdam; Department of Rheumatology, University Medical Center Utrecht, Utrecht; Department of Rheumatology, Rijnstate Medical Center, Arnhem; Department of Rheumatology, Viecuri Medical Center, Venlo, the Netherlands; Department of Rheumatology, University Hospital Leuven, Leuven, Belgium.,M.A. Oude Voshaar, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; M. Ghiti Moghadam, MD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Department of Rheumatology, University Hospital Leuven, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; H.E. Vonkeman, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; P.M. ten Klooster, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; D. van Schaardenburg, MD, PhD, Department of Rheumatology, VU University Medical Center and Reade Medical Center; J. Tekstra, MD, PhD, Department of Rheumatology, University Medical Center Utrecht; H. Visser, MD, PhD, Department of Rheumatology, Rijnstate Medical Center; M.A. van de Laar, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; T.L. Jansen, MD, PhD, Department of Rheumatology, Viecuri Medical Center
| | - Peter M Ten Klooster
- From the Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente, Enschede; Department of Rheumatology, VU University Medical Center and Reade Medical Center, Amsterdam; Department of Rheumatology, University Medical Center Utrecht, Utrecht; Department of Rheumatology, Rijnstate Medical Center, Arnhem; Department of Rheumatology, Viecuri Medical Center, Venlo, the Netherlands; Department of Rheumatology, University Hospital Leuven, Leuven, Belgium.,M.A. Oude Voshaar, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; M. Ghiti Moghadam, MD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Department of Rheumatology, University Hospital Leuven, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; H.E. Vonkeman, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; P.M. ten Klooster, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; D. van Schaardenburg, MD, PhD, Department of Rheumatology, VU University Medical Center and Reade Medical Center; J. Tekstra, MD, PhD, Department of Rheumatology, University Medical Center Utrecht; H. Visser, MD, PhD, Department of Rheumatology, Rijnstate Medical Center; M.A. van de Laar, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; T.L. Jansen, MD, PhD, Department of Rheumatology, Viecuri Medical Center
| | - Dirkjan van Schaardenburg
- From the Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente, Enschede; Department of Rheumatology, VU University Medical Center and Reade Medical Center, Amsterdam; Department of Rheumatology, University Medical Center Utrecht, Utrecht; Department of Rheumatology, Rijnstate Medical Center, Arnhem; Department of Rheumatology, Viecuri Medical Center, Venlo, the Netherlands; Department of Rheumatology, University Hospital Leuven, Leuven, Belgium.,M.A. Oude Voshaar, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; M. Ghiti Moghadam, MD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Department of Rheumatology, University Hospital Leuven, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; H.E. Vonkeman, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; P.M. ten Klooster, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; D. van Schaardenburg, MD, PhD, Department of Rheumatology, VU University Medical Center and Reade Medical Center; J. Tekstra, MD, PhD, Department of Rheumatology, University Medical Center Utrecht; H. Visser, MD, PhD, Department of Rheumatology, Rijnstate Medical Center; M.A. van de Laar, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; T.L. Jansen, MD, PhD, Department of Rheumatology, Viecuri Medical Center
| | - Janneke Tekstra
- From the Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente, Enschede; Department of Rheumatology, VU University Medical Center and Reade Medical Center, Amsterdam; Department of Rheumatology, University Medical Center Utrecht, Utrecht; Department of Rheumatology, Rijnstate Medical Center, Arnhem; Department of Rheumatology, Viecuri Medical Center, Venlo, the Netherlands; Department of Rheumatology, University Hospital Leuven, Leuven, Belgium.,M.A. Oude Voshaar, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; M. Ghiti Moghadam, MD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Department of Rheumatology, University Hospital Leuven, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; H.E. Vonkeman, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; P.M. ten Klooster, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; D. van Schaardenburg, MD, PhD, Department of Rheumatology, VU University Medical Center and Reade Medical Center; J. Tekstra, MD, PhD, Department of Rheumatology, University Medical Center Utrecht; H. Visser, MD, PhD, Department of Rheumatology, Rijnstate Medical Center; M.A. van de Laar, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; T.L. Jansen, MD, PhD, Department of Rheumatology, Viecuri Medical Center
| | - Henk Visser
- From the Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente, Enschede; Department of Rheumatology, VU University Medical Center and Reade Medical Center, Amsterdam; Department of Rheumatology, University Medical Center Utrecht, Utrecht; Department of Rheumatology, Rijnstate Medical Center, Arnhem; Department of Rheumatology, Viecuri Medical Center, Venlo, the Netherlands; Department of Rheumatology, University Hospital Leuven, Leuven, Belgium.,M.A. Oude Voshaar, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; M. Ghiti Moghadam, MD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Department of Rheumatology, University Hospital Leuven, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; H.E. Vonkeman, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; P.M. ten Klooster, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; D. van Schaardenburg, MD, PhD, Department of Rheumatology, VU University Medical Center and Reade Medical Center; J. Tekstra, MD, PhD, Department of Rheumatology, University Medical Center Utrecht; H. Visser, MD, PhD, Department of Rheumatology, Rijnstate Medical Center; M.A. van de Laar, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; T.L. Jansen, MD, PhD, Department of Rheumatology, Viecuri Medical Center
| | - Mart A F J van de Laar
- From the Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente, Enschede; Department of Rheumatology, VU University Medical Center and Reade Medical Center, Amsterdam; Department of Rheumatology, University Medical Center Utrecht, Utrecht; Department of Rheumatology, Rijnstate Medical Center, Arnhem; Department of Rheumatology, Viecuri Medical Center, Venlo, the Netherlands; Department of Rheumatology, University Hospital Leuven, Leuven, Belgium.,M.A. Oude Voshaar, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; M. Ghiti Moghadam, MD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Department of Rheumatology, University Hospital Leuven, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; H.E. Vonkeman, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; P.M. ten Klooster, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; D. van Schaardenburg, MD, PhD, Department of Rheumatology, VU University Medical Center and Reade Medical Center; J. Tekstra, MD, PhD, Department of Rheumatology, University Medical Center Utrecht; H. Visser, MD, PhD, Department of Rheumatology, Rijnstate Medical Center; M.A. van de Laar, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; T.L. Jansen, MD, PhD, Department of Rheumatology, Viecuri Medical Center
| | - Tim L Jansen
- From the Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente, Enschede; Department of Rheumatology, VU University Medical Center and Reade Medical Center, Amsterdam; Department of Rheumatology, University Medical Center Utrecht, Utrecht; Department of Rheumatology, Rijnstate Medical Center, Arnhem; Department of Rheumatology, Viecuri Medical Center, Venlo, the Netherlands; Department of Rheumatology, University Hospital Leuven, Leuven, Belgium.,M.A. Oude Voshaar, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; M. Ghiti Moghadam, MD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Department of Rheumatology, University Hospital Leuven, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; H.E. Vonkeman, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; P.M. ten Klooster, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente; D. van Schaardenburg, MD, PhD, Department of Rheumatology, VU University Medical Center and Reade Medical Center; J. Tekstra, MD, PhD, Department of Rheumatology, University Medical Center Utrecht; H. Visser, MD, PhD, Department of Rheumatology, Rijnstate Medical Center; M.A. van de Laar, MD, PhD, Arthritis Center Twente, Department of Psychology, Health and Technology, University of Twente, and Arthritis Center Twente, Department of Rheumatology and Clinical Immunology, Medical Spectrum Twente; T.L. Jansen, MD, PhD, Department of Rheumatology, Viecuri Medical Center
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Cuppen BVJ, Fu J, van Wietmarschen HA, Harms AC, Koval S, Marijnissen ACA, Peeters JJW, Bijlsma JWJ, Tekstra J, van Laar JM, Hankemeier T, Lafeber FPJG, van der Greef J. Exploring the Inflammatory Metabolomic Profile to Predict Response to TNF-α Inhibitors in Rheumatoid Arthritis. PLoS One 2016; 11:e0163087. [PMID: 27631111 PMCID: PMC5025050 DOI: 10.1371/journal.pone.0163087] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Accepted: 09/04/2016] [Indexed: 01/06/2023] Open
Abstract
In clinical practice, approximately one-third of patients with rheumatoid arthritis (RA) respond insufficiently to TNF-α inhibitors (TNFis). The aim of the study was to explore the use of a metabolomics to identify predictors for the outcome of TNFi therapy, and study the metabolomic fingerprint in active RA irrespective of patients’ response. In the metabolomic profiling, lipids, oxylipins, and amines were measured in serum samples of RA patients from the observational BiOCURA cohort, before start of biological treatment. Multivariable logistic regression models were established to identify predictors for good- and non-response in patients receiving TNFi (n = 124). The added value of metabolites over prediction using clinical parameters only was determined by comparing the area under receiver operating characteristic curve (AUC-ROC), sensitivity, specificity, positive- and negative predictive value and by the net reclassification index (NRI). The models were further validated by 10-fold cross validation and tested on the complete TNFi treatment cohort including moderate responders. Additionally, metabolites were identified that cross-sectionally associated with the RA disease activity score based on a 28-joint count (DAS28), erythrocyte sedimentation rate (ESR) or C-reactive protein (CRP). Out of 139 metabolites, the best-performing predictors were sn1-LPC(18:3-ω3/ω6), sn1-LPC(15:0), ethanolamine, and lysine. The model that combined the selected metabolites with clinical parameters showed a significant larger AUC-ROC than that of the model containing only clinical parameters (p = 0.01). The combined model was able to discriminate good- and non-responders with good accuracy and to reclassify non-responders with an improvement of 30% (total NRI = 0.23) and showed a prediction error of 0.27. For the complete TNFi cohort, the NRI was 0.22. In addition, 88 metabolites were associated with DAS28, ESR or CRP (p<0.05). Our study established an accurate prediction model for response to TNFi therapy, containing metabolites and clinical parameters. Associations between metabolites and disease activity may help elucidate additional pathologic mechanisms behind RA.
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Affiliation(s)
- Bart V. J. Cuppen
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Junzeng Fu
- Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands
- Sino-Dutch center for Preventive and Personalized Medicine, Zeist, The Netherlands
- * E-mail:
| | - Herman A. van Wietmarschen
- Sino-Dutch center for Preventive and Personalized Medicine, Zeist, The Netherlands
- TNO, Netherlands Organization for Applied Scientific Research, Microbiology & Systems Biology, Zeist, The Netherlands
| | - Amy C. Harms
- Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands
- Netherlands Metabolomics Center, Leiden, The Netherlands
| | - Slavik Koval
- Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands
- Netherlands Metabolomics Center, Leiden, The Netherlands
| | - Anne C. A. Marijnissen
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Johannes W. J. Bijlsma
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Janneke Tekstra
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jacob M. van Laar
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Thomas Hankemeier
- Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands
- Netherlands Metabolomics Center, Leiden, The Netherlands
| | - Floris P. J. G. Lafeber
- Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jan van der Greef
- Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands
- Sino-Dutch center for Preventive and Personalized Medicine, Zeist, The Netherlands
- TNO, Netherlands Organization for Applied Scientific Research, Microbiology & Systems Biology, Zeist, The Netherlands
- Netherlands Metabolomics Center, Leiden, The Netherlands
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Giancane G, Diggle CP, Legger EG, Tekstra J, Prakken B, Brenkman AB, Carr IM, Markham AF, Bonthron DT, Wulffraat N. Primary Hypertrophic Osteoarthropathy: An Update on Patient Features and Treatment. J Rheumatol 2016; 42:2211-4. [PMID: 26523041 DOI: 10.3899/jrheum.150364] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Gabriella Giancane
- Department of Pediatric Immunology, University Medical Centre Utrecht (UMC), Utrecht, the Netherlands;
| | - Christine P Diggle
- School of Medicine, St. James's University Hospital, University of Leeds, Leeds, UK
| | | | | | | | | | - Ian M Carr
- School of Medicine, St. James's University Hospital, University of Leeds
| | | | - David T Bonthron
- School of Medicine, St. James's University Hospital, University of Leeds
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Bijlsma JWJ, Welsing PMJ, Woodworth TG, Middelink LM, Pethö-Schramm A, Bernasconi C, Borm MEA, Wortel CH, Ter Borg EJ, Jahangier ZN, van der Laan WH, Bruyn GAW, Baudoin P, Wijngaarden S, Vos PAJM, Bos R, Starmans MJF, Griep EN, Griep-Wentink JRM, Allaart CF, Heurkens AHM, Teitsma XM, Tekstra J, Marijnissen ACA, Lafeber FPJ, Jacobs JWG. Early rheumatoid arthritis treated with tocilizumab, methotrexate, or their combination (U-Act-Early): a multicentre, randomised, double-blind, double-dummy, strategy trial. Lancet 2016; 388:343-355. [PMID: 27287832 DOI: 10.1016/s0140-6736(16)30363-4] [Citation(s) in RCA: 168] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
BACKGROUND For patients with newly diagnosed rheumatoid arthritis, treatment aim is early, rapid, and sustained remission. We compared the efficacy and safety of strategies initiating the interleukin-6 receptor-blocking monoclonal antibody tocilizumab with or without methotrexate (a conventional synthetic disease-modifying antirheumatic drug [DMARD]), versus initiation of methotrexate monotherapy in line with international guidelines. METHODS We did a 2-year, multicentre, randomised, double-blind, double-dummy, strategy study at 21 rheumatology outpatient departments in the Netherlands. We included patients who had been diagnosed with rheumatoid arthritis within 1 year before inclusion, were DMARD-naive, aged 18 years or older, met current rheumatoid arthritis classification criteria, and had a disease activity score assessing 28 joints (DAS28) of at least 2·6. We randomly assigned patients (1:1:1) to start tocilizumab plus methotrexate (the tocilizumab plus methotrexate arm), or tocilizumab plus placebo-methotrexate (the tocilizumab arm), or methotrexate plus placebo-tocilizumab (the methotrexate arm). Tocilizumab was given at 8 mg/kg intravenously every 4 weeks with a maximum of 800 mg per dose. Methotrexate was started at 10 mg per week orally and increased stepwise every 4 weeks by 5 mg to a maximum of 30 mg per week, until remission or dose-limiting toxicity. We did the randomisation using an interactive web response system. Masking was achieved with placebos that were similar in appearance to the active drug; the study physicians, pharmacists, monitors, and patients remained masked during the study, and all assessments were done by masked assessors. Patients not achieving remission on their initial regimen switched from placebo to active treatments; patients in the tocilizumab plus methotrexate arm switched to standard of care therapy (typically methotrexate combined with a tumour necrosis factor inhibitor). When sustained remission was achieved, methotrexate (and placebo-methotrexate) was tapered and stopped, then tocilizumab (and placebo-tocilizumab) was also tapered and stopped. The primary endpoint was the proportion of patients achieving sustained remission (defined as DAS28 <2·6 with a swollen joint count ≤four, persisting for at least 24 weeks) on the initial regimen and during the entire study duration, compared between groups with a two-sided Cochran-Mantel-Haenszel test. Analysis was based on an intention-to-treat method. This trial was registered at ClinicalTrials.gov, number NCT01034137. FINDINGS Between Jan 13, 2010, and July 30, 2012, we recruited and assigned 317 eligible patients to treatment (106 to the tocilizumab plus methotrexate arm, 103 to the tocilizumab arm, and 108 to the methotrexate arm). The study was completed by a similar proportion of patients in the three groups (range 72-78%). The most frequent reasons for dropout were adverse events or intercurrent illness: 27 (34%) of dropouts, and insufficient response: 26 (33%) of dropouts. 91 (86%) of 106 patients in the tocilizumab plus methotrexate arm achieved sustained remission on the initial regimen, compared with 86 (84%) of 103 in the tocilizumab arm, and 48 (44%) of 108 in the methotrexate arm (relative risk [RR] 2·00, 95% CI 1·59-2·51 for tocilizumab plus methotrexate vs methotrexate, and 1·86, 1·48-2·32 for tocilizumab vs methotrexate, p<0·0001 for both comparisons). For the entire study, 91 (86%) of 106 patients in the tocilizumab plus methotrexate arm, 91 (88%) of 103 in the tocilizumab arm, and 83 (77%) of 108 in the methotrexate arm achieved sustained remission (RR 1·13, 95% CI 1·00-1·29, p=0·06 for tocilizumab plus methotrexate vs methotrexate, 1·14, 1·01-1·29, p=0·0356 for tocilizumab vs methotrexate, and p=0·59 for tocilizumab plus methotrexate vs tocilizumab). Nasopharyngitis was the most common adverse event in all three treatment groups, occurring in 38 (36%) of 106 patients in the tocilizumab plus methotrexate arm, 40 (39%) of 103 in the tocilizumab arm, and 37 (34%) of 108 in the methotrexate arm. The occurrence of serious adverse events did not differ between the treatment groups (17 [16%] of 106 patients in the tocilizumab plus methotrexate arm vs 19 [18%] of 103 in the tocilizumab arm and 13 [12%] of 108 in the methotrexate arm), and no deaths occurred during the study. INTERPRETATION For patients with newly diagnosed rheumatoid arthritis, strategies aimed at sustained remission by immediate initiation of tocilizumab with or without methotrexate are more effective, and with a similar safety profile, compared with initiation of methotrexate in line with current standards. FUNDING Roche Nederland BV.
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Affiliation(s)
- Johannes W J Bijlsma
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Paco M J Welsing
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Thasia G Woodworth
- Division of Rheumatology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
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- Medical Center Leeuwarden, Leeuwarden, Netherlands
| | | | | | | | | | | | - Xavier M Teitsma
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Janneke Tekstra
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Anne Carien A Marijnissen
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Floris P J Lafeber
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Johannes W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands.
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van Zoelen MAD, Tekstra J. Dysarthria, difficulty in walking and dizziness. Neth J Med 2014; 72:375-379. [PMID: 25178774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Affiliation(s)
- M A D van Zoelen
- Departments of Internal Medicine and Infectious Diseases, University Medical Center Utrecht, Utrecht, the Netherlands
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Cuppen B, de Jager W, Marijnissen A, Tekstra J, van der Veen M, Bijlsma J, van Laar J, Lafeber F. AB0225 Proteomics for Prediction of Response in RA Using Both Classic and New Proposed Response Criteria. Ann Rheum Dis 2014. [DOI: 10.1136/annrheumdis-2014-eular.2019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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43
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Shaib Y, Ton E, Goldschmeding R, Tekstra J. IgG4-related disease with atypical laryngeal presentation and Behçet/granulomatous polyangiitis mimicking features. BMJ Case Rep 2013; 2013:bcr-2013-009158. [PMID: 23813505 DOI: 10.1136/bcr-2013-009158] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The following report describes two male patients with an ongoing medical history with a predominant laryngeal focus, who were finally diagnosed with IgG4-related disease (IgG4-RD). Their primary symptoms included hoarseness and pain of the throat, and they had undergone multiple laryngeal surgeries and laser treatments due to tumorous growth with limited success. Due to the onset of additional symptoms, they initially received the diagnoses granulomatous polyangiitis (GPA) and Behçet's disease. However, further analysis showed elevated IgG4 levels in serum and infiltration of IgG4-positive plasma cells upon biopsy of laryngeal and pulmonary tissue. Treatment was started with moderate doses of prednisone, leading to a rapid resolution of symptoms.
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Affiliation(s)
- Yasmin Shaib
- University Medical Center Utrecht, Utrecht, The Netherlands.
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44
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Boumans M, Teng O, Thurlings R, Bijlsma J, Gerlag D, Huizinga T, Vos K, Stapel S, Wolbink G, Tekstra J, van Laar J, Tak PP. Progression of structural damage is not related to rituximab serum levels in rheumatoid arthritis patients. Rheumatology (Oxford) 2013; 52:1462-6. [PMID: 23620560 DOI: 10.1093/rheumatology/ket137] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE The most cost-effective dosing regimen for rituximab treatment in RA is currently unknown. The objective of this study is to determine whether low rituximab serum levels are associated with progression of structural damage in RA patients. METHODS Sixty-two RA patients were treated with rituximab in three different centres. Structural damage was assessed on radiographs of hands and feet before and 1 year after therapy using the Sharp-van der Heijde scoring method (SHS). Patients were divided into progressors vs non-progressors based on different cut-off values. Rituximab serum levels were measured by sandwich ELISA after 4 and 12 weeks (Leiden University Medical Center and University Medical Centre, Utrecht cohorts) or 4 and 16 weeks (Academic Medical Center/University of Amsterdam cohort). RESULTS There was no difference in rituximab levels between progressors and non-progressors 4 weeks and 12 or 16 weeks after initiation of treatment in the different cohorts. There was also no correlation between rituximab levels at week 4 or week 12 or 16 and change in SHS score after 1 year. CONCLUSION Low rituximab serum levels are not associated with progression of structural damage in RA patients. The results do not support the use of dosages higher than 2 × 1000 mg rituximab to inhibit progression of joint destruction.
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Affiliation(s)
- Maria Boumans
- Division of Clinical Immunology and Rheumatology, Academic Medical Center/University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
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Bakker MF, Jacobs JWG, Welsing PMJ, Verstappen SMM, Tekstra J, Ton E, Geurts MAW, van der Werf JH, van Albada-Kuipers GA, Jahangier-de Veen ZN, van der Veen MJ, Verhoef CM, Lafeber FPJG, Bijlsma JWJ. Low-dose prednisone inclusion in a methotrexate-based, tight control strategy for early rheumatoid arthritis: a randomized trial. Ann Intern Med 2012; 156:329-39. [PMID: 22393128 DOI: 10.7326/0003-4819-156-5-201203060-00004] [Citation(s) in RCA: 224] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Treatment strategies for tight control of early rheumatoid arthritis (RA) are highly effective but can be improved. OBJECTIVE To investigate whether adding prednisone, 10 mg/d, at the start of a methotrexate (MTX)-based treatment strategy for tight control in early RA increases its effectiveness. DESIGN A 2-year, prospective, randomized, placebo-controlled, double-blind, multicenter trial (CAMERA-II [Computer Assisted Management in Early Rheumatoid Arthritis trial-II]). (International Standard Randomised Controlled Trial Number: ISRCTN 70365169) SETTING 7 hospitals in the Netherlands. PATIENTS 236 patients with early RA (duration <1 year). INTERVENTION Patients were randomly assigned to an MTX-based, tight control strategy starting with either MTX and prednisone or MTX and placebo. Methotrexate treatment was tailored to the individual patient at monthly visits on the basis of predefined response criteria aiming for remission. MEASUREMENTS The primary outcome was radiographic erosive joint damage after 2 years. Secondary outcomes included response criteria, remission, and the need to add cyclosporine or a biologic agent to the treatment. RESULTS Erosive joint damage after 2 years was limited and less in the group receiving MTX and prednisone (n = 117) than in the group receiving MTX and placebo (n = 119). The MTX and prednisone strategy was also more effective in reducing disease activity and physical disability, achieving sustained remission, and avoiding the addition of cyclosporine or biologic treatment. Adverse events were similar in both groups, but some occurred less in the MTX and prednisone group. LIMITATION A tight control strategy for RA implies monthly visits to an outpatient clinic, which is not always feasible. CONCLUSION Inclusion of low-dose prednisone in an MTX-based treatment strategy for tight control in early RA improves patient outcomes. PRIMARY FUNDING SOURCE Catharijne Foundation.
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Affiliation(s)
- Marije F Bakker
- Department of Rheumatology and Clinical Immunology and Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, and Diakonessenhuis, Utrecht, The Netherlands
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Luijten K, Tekstra J, Bijlsma J, Bijl M. The Systemic Lupus Erythematosus Responder Index (SRI); A new SLE disease activity assessment. Autoimmun Rev 2012; 11:326-9. [DOI: 10.1016/j.autrev.2011.06.011] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2011] [Accepted: 06/10/2011] [Indexed: 01/04/2023]
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Tekstra J, van Roon J, Groot Kormelink T, Redegeld F. Immunoglobulin free light chain levels and rituximab response in rheumatoid arthritis: comment on the article by Sellam et al. ACTA ACUST UNITED AC 2012; 63:4034-5; author reply 4035. [PMID: 22127715 DOI: 10.1002/art.30632] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Wheater G, Hogan VE, Teng YKO, Tekstra J, Lafeber FP, Huizinga TWJ, Bijlsma JWJ, Francis RM, Tuck SP, Datta HK, van Laar JM. Suppression of bone turnover by B-cell depletion in patients with rheumatoid arthritis. Osteoporos Int 2011; 22:3067-72. [PMID: 21625887 DOI: 10.1007/s00198-011-1607-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2010] [Accepted: 02/17/2011] [Indexed: 10/18/2022]
Abstract
UNLABELLED The role of B cells in inflammatory bone formation and resorption is controversial. We investigated this in patients with rheumatoid arthritis (RA) treated with rituximab, a B-cell depleting antibody. We found a significant suppression in bone turnover, possibly a direct effect or as a consequence of a reduction in inflammation and disease activity. INTRODUCTION RA is the most prevalent inflammatory joint disease, in which B cells play an important role. However, the role of B cells in bone turnover is controversial and RA subjects treated with rituximab, a B-cell depleting monoclonal antibody, provide an ideal model for determining the role of B cells in inflammatory bone resorption. METHODS Serum from 46 RA patients, collected pre- and post-rituximab therapy, was analysed for biomarkers of bone turnover (procollagen type I amino-terminal propeptide [P1NP], osteocalcin, β-isomerised carboxy-terminal telopeptide of type 1 collagen [βCTX] and osteoprotegerin [OPG]). RESULTS A significant decrease in bone resorption was observed 6 months after rituximab (median change βCTX -50 ng/L, 95%CI -136, -8 p < 0.001, this equates to -37%; 95%CI -6, -49), mirrored by a reduction in disease activity. Similarly, there was a significant increase in P1NP, a marker of bone formation (median change P1NP 5.0 μg/L, 95%CI -1.0, 11.2, p = 0.02; 13%; 95%CI -3, 39), but no significant change in osteocalcin or OPG levels. The percentage change from baseline of βCTX in a subgroup of patients (not on prednisolone or bisphosphonate) was significantly correlated with the percentage reduction in DAS28 score (r (s) = 0.570, p = 0.014). CONCLUSIONS In conclusion, we have found that B-cell depletion increases bone formation and decreases bone resorption in RA patients; this may be a direct effect on osteoblasts and osteoclasts, respectively, and be at least partially explained by the decreased inflammation and disease activity.
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Affiliation(s)
- G Wheater
- Department of Biochemistry, The James Cook University Hospital, Middlesbrough, TS4 3BW, UK.
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Ickinger C, Musenge E, Tikly M, Barnes J, Donnison C, Scott M, Bartholomew P, Rynne M, Hamilton J, Saravanan V, Heycock C, Kelly C, de la Torre I, Moura RA, Leandro M, Edwards J, Cambridge G, de la Torre I, Leandro M, Edwards J, Cambridge G, Daniels LE, Gullick NJ, Rees JD, Kirkham BW, Daniels LE, Gullick NJ, Kirkham BW, Rees J, Scott IC, Johnson D, Scott DL, Kingsley G, Ma MH, Cope AP, Scott DL, Kirkham BW, Brode S, Nisar MK, Ostor AJ, Gullick NJ, Oakley SP, Rees JD, Jones T, Mistlin A, Panayi GS, Kirkham BW, El Miedany Y, Palmer D, Porkodi R, Rajendran P, Waller R, Williamson L, Collins D, Price E, Juarez MJ, El Miedany Y, El Gaafary M, Youssef S, Palmer D, El Miedany Y, El Gaafary M, Palmer D, El Miedany Y, El Gaafary M, Palmer D, El Miedany Y, Palmer D, Cramp F, Hewlett S, Almeida C, Kirwan J, Choy E, Chalder T, Pollock J, Christensen R, Mirjafari H, Verstappen S, Bunn D, Edlin H, Charlton-Menys V, Pemberton P, Marshall T, Wilson P, Lunt M, Symmons D, Bruce IN, Bell C, Rowe IF, Jayakumar K, Norton SJ, Dixey J, Williams P, Young A, Kurunadalingam H, Parwaiz I, Kumar K, Howlett K, Hands B, Raza K, Pitzalis C, Buckley C, Kelly S, Filer A, Wheater G, Hogan VE, Onno Teng Y, Tekstra J, Tuck SP, Lafeber FP, Huizinga TW, Bijlsma JW, Francis RM, Datta HK, van Laar J, Pratt AG, Charles PJ, Choudhury M, Wilson G, Venables PJ, Isaacs J, Raza K, Kumar K, Stack R, Kwiatkowska B, Rantapaa-Dahlqvist S, Saxne T, Sidiropoulos P, Kteniadaki E, Misirlaki C, Mann H, Vencovsky J, Ciurea A, Tamborrini G, Kyburz D, Bastian H, Burmester GR, Detert J, Buckley CD, Sheehy C, Shipman A, Stech I, Mukhtyar C, Atzeni F, Sitia S, Tomasoni L, Gianturco L, Ricci C, Sarzi-Puttini P, De Gennaro Colonna V, Turiel M, Galloway J, Low A, Mercer LK, Dixon W, Ustianowski A, Watson K, Lunt M, Fisher B, Plant D, Lundberg K, Charles PJ, Barton A, Venables P, Pratt AG, Lorenzi AR, Wilson G, Platt PN, Isaacs J. Rheumatoid arthritis - clinical aspects: 134. Predictors of Joint Damage in South Africans with Rheumatoid Arthritis. Rheumatology (Oxford) 2011. [DOI: 10.1093/rheumatology/ker029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Thurlings RM, Boumans M, Tekstra J, van Roon JA, Vos K, van Westing DM, van Baarsen LG, Bos C, Kirou KA, Gerlag DM, Crow MK, Bijlsma JW, Verweij CL, Tak PP. Relationship between the type I interferon signature and the response to rituximab in rheumatoid arthritis patients. ACTA ACUST UNITED AC 2011; 62:3607-14. [PMID: 20722020 DOI: 10.1002/art.27702] [Citation(s) in RCA: 105] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To analyze the relationship between the type I interferon (IFN) signature and clinical response to rituximab in rheumatoid arthritis (RA) patients. METHODS Twenty RA patients were treated with rituximab (cohort 1). Clinical response was defined as a decrease in the Disease Activity Score evaluated in 28 joints (DAS28) and as a response according to the European League Against Rheumatism (EULAR) criteria at week 12 and week 24. The presence of an IFN signature was analyzed in peripheral blood mononuclear cells by measuring the expression levels of 3 IFN response genes by quantitative polymerase chain reaction analysis. After comparison with the findings in healthy controls, patients were classified as having an IFN high or an IFN low signature. The data were confirmed in a second independent cohort (n = 31). Serum IFNα bioactivity was analyzed using a reporter assay. RESULTS In cohort 1, there was a better clinical response to rituximab in the IFN low signature group. Consistent with these findings, patients with an IFN low signature had a significantly greater reduction in the DAS28 and more often achieved a EULAR response at weeks 12 and 24 as compared with the patients with an IFN high signature in cohort 2 versus cohort 1. The pooled data showed a significantly stronger decrease in the DAS28 in IFN low signature patients at weeks 12 and 24 as compared with the IFN high signature group and a more frequent EULAR response at week 12. Accordingly, serum IFNα bioactivity at baseline was inversely associated with the clinical response, although this result did not reach statistical significance. CONCLUSION The type I IFN signature negatively predicts the clinical response to rituximab treatment in patients with RA. This finding supports the notion that IFN signaling plays a role in the immunopathology of RA.
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Affiliation(s)
- Rogier M Thurlings
- Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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