scholarly journals O13 Which composite measure best reflects disease activity and predicts treatment change in psoriatic arthritis?

Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Laura Tucker ◽  
Philip Helliwell ◽  
Laura Coates ◽  

Abstract Background/Aims  Multiple composite measures of disease activity are available and used in psoriatic arthritis (PsA) research; however, poor agreement remains amongst clinicians on the optimal measure of disease activity. Research to date has focused on polyarticular PsA, despite oligoarticular disease accounting for around half of cases in clinical practice. We aim to compare the ability of Composite Psoriatic Disease Activity Index (CPDAI), Psoriatic ArthritiS Disease Activity Score (PASDAS), Disease Activity score for PSoriatic Arthritis (DAPSA), GRAppa Composite scorE (GRACE) and Disease Activity Score 28 CRP (DAS28-CRP) to assess disease activity and predict treatment change, amongst usual care patients with oligoarticular and polyarticular psoriatic disease. Methods  The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis Composite Exercise (GRACE) dataset was utilised. Oligoarthritis was defined as < 5 active joints. Reference measures were clinician and patient opinions on disease control and whether treatment was escalated. Patients with baseline data for all composite measures were included. The ability of each composite measure to predict treatment change and capture disease activity was compared using the Mann-Whitney U test. Results  Data were available for 271 patients (152 oligoarthritis, 119 polyarthritis). The mean age, duration of PsA and psoriasis were similar for both groups. A higher proportion of oligoarticular patients were male. Patients with polyarticular disease had higher disease activity in skin, enthesitis and dactylitis. Using both patient and physician definitions of disease control, all composite measures were able to differentiate between patients with active and quiescent disease, regardless of disease subtype (p < 0.05). PASDAS demonstrated the largest differentiation in score. Differences between active and inactive disease scores were more pronounced in oligoarticular disease. PASDAS demonstrated the greatest ability to predict treatment change in both oligoarticular and polyarticular disease. Interestingly, DAPSA could not predict treatment change in polyarticular patients, p = 0.074 (Table 1). Conclusion  This is the first study to compare composite measures, in oligoarticular and polyarticular PsA in a multinational cohort. All composite measures of disease activity were able to differentiate between active and inactive disease in both subtypes. PASDAS demonstrated the largest discrimination in both polyarticular and oligoarticular disease, suggesting greatest clinical and research utility. Disclosure  L. Tucker: None. P. Helliwell: None. L. Coates: None.

Rheumatology ◽  
2020 ◽  
Author(s):  
Laura C Coates ◽  
Joseph F Merola ◽  
Philip J Mease ◽  
Alexis Ogdie ◽  
Dafna D Gladman ◽  
...  

Abstract Objectives To examine which composite measures are most sensitive to change when measuring psoriatic arthritis (PsA) disease activity, analyses compared the responsiveness of composite measures used in a 48-week randomized, controlled trial of MTX and etanercept in patients with PsA. Methods The trial randomised 851 patients to receive weekly: MTX (20 mg/week), etanercept (50 mg/week) or MTX plus etanercept. Dichotomous composite measures examined included ACR 20/50/70 responses, minimal disease activity (MDA) and very low disease activity (VLDA). Continuous composite measures examined included Disease Activity Score (28 joints) using CRP (DAS28-CRP), Clinical Disease Activity Index (CDAI), Simplified Disease Activity Index (SDAI), Disease Activity for Psoriatic Arthritis (DAPSA) and Psoriatic Arthritis Disease Activity Score (PASDAS). Results At week 24, etanercept-treated groups were significantly more effective than MTX monotherapy to achieve ACR 20 (primary end point) and MDA (key secondary end point). When examining score changes from baseline at week 24 across the five continuous composite measures, PASDAS demonstrated relatively greater changes in the etanercept-treated groups compared with MTX monotherapy and had the largest effect size and standardized response. Joint count changes drove overall score changes at week 24 from baseline in all the continuous composite measures except for PASDAS, which was driven by the Physician and Patient Global Assessments. Conclusion PASDAS was the most sensitive continuous composite measure examined with results that mirrored the protocol-defined primary and key secondary outcomes. Composite measures with multiple domains, such as PASDAS, may better quantify change in PsA disease burden. Trail registration https://ClinicalTrials.gov, number NCT02376790.


RMD Open ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e000888 ◽  
Author(s):  
Maria Backström ◽  
Pirjo Tynjälä ◽  
Kristiina Aalto ◽  
Minna-Maija Grönlund ◽  
Heikki Ylijoki ◽  
...  

ObjectivesTo validate cut-offs of the Juvenile Arthritis Disease Activity Score 10 (JADAS10) and clinical JADAS10 (cJADAS10) and to compare them with other patient cohorts.MethodsIn a national multicentre study, cross-sectional data on recent visits of 337 non-systemic patients with juvenile idiopathic arthritis (JIA) were collected from nine paediatric outpatient units. The cut-offs were tested with receiver operating characteristic curve-based methods, and too high, too low and correct classification rates (CCRs) were calculated.ResultsOur earlier presented JADAS10 cut-offs seemed feasible based on the CCRs, but the cut-off values between low disease activity (LDA) and moderate disease activity (MDA) were adjusted. When JADAS10 cut-offs for clinically inactive disease (CID) were increased to 1.5 for patients with oligoarticular disease and 2.7 for patients with polyarticular disease, as recently suggested in a large multinational register study, altogether 11 patients classified as CID by the cut-off had one active joint. We suggest JADAS10 cut-off values for oligoarticular/polyarticular disease to be in CID: 0.0–0.5/0.0–0.7, LDA: 0.6–3.8/0.8–5.1 and MDA: >3.8/5.1. Suitable cJADAS10 cut-offs are the same as JADAS10 cut-offs in oligoarticular disease. In polyarticular disease, cJADAS10 cut-offs are 0–0.7 for CID, 0.8–5.0 for LDA and >5.0 for MDA.ConclusionInternational consensus on JADAS cut-off values is needed, and such a cut-off for CID should preferably exclude patients with active joints in the CID group.


2021 ◽  
pp. jrheum.210075
Author(s):  
Esther Beckers ◽  
Marin Been ◽  
Casper Webers ◽  
Annelies Boonen ◽  
Peter M. ten Klooster ◽  
...  

Objective To investigate concurrent validity and discrimination of the Disease Activity Psoriatic Arthritis score (DAPSA), Psoriatic Arthritis Disease Activity Score (PASDAS) and Ankylosing Spondylitis Disease Activity Score (ASDAS) in peripheral spondyloarthritis (pSpA) in clinical practice. Methods Data from a Dutch registry for SpA (SpA-Net) were used. Predefined hypotheses on concurrent validity of the composite measures with 15 other outcome measures of disease activity, physical function and health-related quality of life were tested. Concurrent validity was considered acceptable if ≥75% of the hypotheses were confirmed. Discrimination was assessed by stratifying patients in DAPSA, PASDAS and ASDAS predefined disease activity states and studying mean differences in health outcomes by one-way ANOVA. Furthermore, the concordance in disease activity states was determined. All analyses were repeated in subgroups with and without psoriasis. Results DAPSA, PASDAS and ASDAS scores were available for 191, 139 and 279 patients with pSpA, respectively. The concurrent validity and discrimination of all composite measures were acceptable as the strength of correlations were as hypothesized in ≥75% of the studied correlations. With increasing disease activity states, scores in nearly all outcome measures worsened significantly. The DAPSA, PASDAS and ASDAS classified 22%, 56% and 48% of the patients, respectively, in the two highest disease activity states. Stratified analyses for concomitant psoriasis revealed no relevant subgroup differences. Conclusion The performance of DAPSA, PASDAS and ASDAS in pSpA was acceptable, and independent of concomitant psoriasis. Due to discrepancy in classification, the validity of existing thresholds for disease activity states warrants further study in pSpA.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 342.1-342
Author(s):  
F. Proft ◽  
J. Schally ◽  
H. C. Brandt ◽  
J. Brandt-Juergens ◽  
G. R. Burmester ◽  
...  

Background:According to international recommendations, the Ankylosing Spondylitis Disease Activity Score (ASDAS) is the preferred score for assessing disease activity in axial spondyloarthritis (axSpA) [1]. However, routine determination of C-reactive protein (CRP) to calculate ASDAS values takes hours to days. This limits the use of ASDAS in clinical routine and clinical trials and hinders the implementation of treat-to-target approaches in axSpA. Whereas quick quantitative CRP (qCRP) tests allow CRP assessment within a few minutes. In a pilot project the performance of qCRP-based ASDAS assessment (ASDAS-qCRP) was already investigated in a single center study of 50 newly diagnosed, bDMARD-naïve axSpA patients with promising results [2].Objectives:To validate the ASDAS-qCRP in a prospective, multicenter study of axSpA patients in a typical axSpA cohort with an appropriate sample size.Methods:The study was conducted in five centers in Germany. Consecutive adult (≥ 18 years) axSpA patients were included. In addition to a rheumatological assessment, including patient reported outcomes (PROs), routine CRP and erythrocyte sedimentation rate (ESR) were measured in the local labs. Additionally, a qCRP testing with the „QuikRead go instrument“ (Aidian Oy, Finland) was performed at the study center (measurement range 0.5 - 200 mg/l for hematocrit concentrations of 40 – 45%). Statistical analysis included descriptive statistics, cross tabulation and weighted Cohen´s kappa comparing disease activity categories, Bland-Altman plots and intraclass correlation coefficient (ICC) for ASDAS-CRP and ASDAS-qCRP.Results:In this study 251 axSpA patients were included between January and September 2020 (mean age: 38.4 years; mean disease duration: 6.2 years, 159 patients (63.3%) were male, 211 (84.1%) HLA-B27 positive and 195 (77.7%) were classified as radiographic axSpA). 143 patients (57.0%) were treated with bDMARDs. CRP and qCRP showed mean values of 2.12 and 2.17 mg/l, respectively. With the ASDAS-qCRP, 242 patients (96.4%) were assigned to the same disease activity category as compared to the ASDAS based on the conventional lab CRP measurement (Table 1). Weighted Cohen´s kappa was 0.966 (95%CI: 0.943; 0.988). ICC for ASDAS-CRP- and ASDAS-qCRP-values was 0.997 (95%CI: 0.994; 0.999). The agreement of ASDAS-qCRP and ASDAS-CRP is shown in a Bland-Altman plot (Figure 1).Table 1.Disease activity categories by ASDAS-qCRP vs. ASDAS-CRPASDAS-qCRP (n = 251)Inactive Disease(< 1.3)Low Disease Activity (1.3 - < 2.1)High Disease Activity (2.1 - 3.5)Very high Disease Activity (> 3.5)ASDAS-CRPInactive Disease(< 1.3)56 (22.3%)2 (0.8%)Low Disease Activity (1.3 - < 2.1)62 (24.7%)7 (2.8%)High Disease Activity (2.1 - 3.5)97 (38.6%)Very high Disease Activity (> 3.5)27 (10.8%)The fields highlighted in red indicate that disease activity categories do not match.ASDAS = Ankylosing Spondylitis Disease Activity Score, CRP = C-reactive protein, qCRP = quick quantitative CRPConclusion:The ASDAS-qCRP and ASDAS-CRP showed an almost perfect agreement on the assignment to disease activity categories (96%) with the important advantage of time. With ASDAS-qCRP, rheumatologists could base their clinical decision-making on a disease activity measurement by using a composite score immediately. ASDAS-qCRP, therefore, can be integrated in clinical routine and clinical trials in the future and may facilitate implementation of the treat-to-target concept in axial SpA.References:[1]Smolen JS, et al. Ann Rheum Dis. 2018 Jan; 77(1):3-17.[2]Proft F, et al. Joint Bone Spine. 2019 Jul 29.Figure 1.Bland-Altman plot for ASDAS-qCRP and ASDAS-CRPAcknowledgements:The authors would like to deeply thank Braun T, Doerwald C, Deter N, Höppner C, Lackinger J, Lorenz C, Lunkwitz K, Mandt B, Sron S and Zernicke J for their practical support and coordinating the study.Funding statement: The AQUA study was supported by an unrestricted research grant from Novartis. Testing kits were provided free of charge from Aidian Oy, Finland.Disclosure of Interests:None declared


2017 ◽  
Vol 28 (3) ◽  
pp. 542-549 ◽  
Author(s):  
Sara Monti ◽  
Monica Todoerti ◽  
Veronica Codullo ◽  
Ennio Giulio Favalli ◽  
Martina Biggioggero ◽  
...  

2010 ◽  
Vol 37 (2) ◽  
pp. 453-461 ◽  
Author(s):  
DAFNA D. GLADMAN ◽  
ROBERT LANDEWÉ ◽  
NEIL J. McHUGH ◽  
OLIVER FITZGERALD ◽  
DIAMANT THACI ◽  
...  

At the 2008 annual meeting of GRAPPA (Group for Research and Assessment of Psoriasis and Psoriatic Arthritis) in Leeds, UK, members discussed the value and current status of composite measures for the assessment of psoriatic arthritis (PsA). In plenary presentations, examples of composite measures developed for rheumatoid arthritis (RA) and ankylosing spondylitis (AS) were reviewed, followed by a presentation of the assessment of disease activity in systemic lupus erythematosus. Three recently devised composite methods of assessing activity or response in PsA also were presented. Considerable discussion followed in breakout groups, and members agreed that a new composite measure specifically for PsA is necessary. The composite measure should include components that encompass the spectrum of psoriatic disease, i.e., in addition to assessment of peripheral joints, it should include assessment of sacroiliitis, spondylitis, enthesitis, and dactylitis, as well as skin and nail disease.


2017 ◽  
Vol 44 (4) ◽  
pp. 431-436 ◽  
Author(s):  
Brigitte Michelsen ◽  
Andreas P. Diamantopoulos ◽  
Hege Kilander Høiberg ◽  
Dag Magnar Soldal ◽  
Arthur Kavanaugh ◽  
...  

Objective.To explore the burden of skin, joint, and entheses manifestations in a representative psoriatic arthritis (PsA) outpatient cohort in the biologic treatment era.Methods.This was a cross-sectional study of 141 PsA outpatients fulfilling the ClASsification for Psoriatic ARthritis (CASPAR) criteria and examined between January 2013 and May 2014. Selected disease activity measures were explored including Disease Activity index for PSoriatic Arthritis (DAPSA), Composite Psoriatic Disease Activity Index (CPDAI), Psoriatic Arthritis Disease Activity Score (PASDAS), Disease Activity Score for 28 joints (DAS28), Simplified Disease Activity Index (SDAI), and Psoriasis Area Severity Index (PASI). Dermatology Life Quality Index (DLQI), minimal disease activity (MDA), and remission criteria were assessed.Results.Median (range) DAPSA was 14.5 (0.1–76.4), CPDAI 5 (1–11), PASDAS 3.1 (2.1–4.2), DAS28-erythrocyte sedimentation rate (ESR) 3.2 (0.6–6.4), SDAI 8.6 (0.1–39.5), PASI 1.2 (0.0–19.7), and DLQI 2.0 (0–17). The MDA criteria were fulfilled by 22.9% of the patients. DAPSA ≤ 4, CPDAI ≤ 2, PASDAS < 2.4, DAS28-ESR < 2.4, SDAI < 3.3, and Boolean’s remission criteria were fulfilled by 12.1, 9.3, 7.8, 26.2, 21.3, and 5.7% of patients, respectively. The number of satisfied patients was similar regardless of whether the group was treated with tumor necrosis factor inhibitors.Conclusion.Our real-life data indicate that there is still a need for improvement in today’s treatment of PsA. Musculoskeletal inflammatory involvement was more prominent than psoriatic skin involvement. Only a few patients fulfilled the DAPSA, PASDAS, and CPDAI remission criteria, and about a quarter fulfilled the MDA criteria. Considerably fewer patients fulfilled PsA-specific remission criteria versus non-PsA specific remission criteria. Still, patient satisfaction was good and PASI and DLQI were low.


2007 ◽  
Vol 57 (2) ◽  
pp. 256-260 ◽  
Author(s):  
Burkhard F. Leeb ◽  
Ingrid Andel ◽  
Judith Sautner ◽  
Christian Fassl ◽  
Thomas Nothnagl ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document