scholarly journals AB0972 DEVELOPMENT OF THE PARENT VERSION OF THE JUVENILE ARTHRITIS DISEASE ACTIVITY SCORE CUT-OFFS FOR MODERATE AND HIGH DISEASE ACTIVITY STATES IN JUVENILE IDIOPATHIC ARTHRITIS IN A LARGE MULTINATIONAL PATIENT SAMPLE

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1781.2-1781
Author(s):  
I. Avrusin ◽  
R. Naddei ◽  
F. Ridella ◽  
G. Januskeviciute ◽  
M. Kostik ◽  
...  
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Disease Activity ◽  
Disease Activity Score ◽  
Juvenile Arthritis ◽  
High Disease Activity ◽  
Activity Score ◽  
Inactive Disease ◽  
Youden Index ◽  
Research Support ◽  
Attending Physician

Background:Measurement of disease activity level is of pivotal importance in the care of patients with juvenile idiopathic arthritis (JIA). According to the most recent requirements, both, parent’s and children’s perception should be taken into account while evaluating the disease course and assessing effectiveness of therapy. Therefore, a new disease activity evaluation tool, based only on parent assessment of the outcome, is under development and named Parent Juvenile Arthritis Disease Activity Score (parJADAS) [1].Objectives:The aim of this study is to develop the parJADAS cut-off values of moderate disease activity (MDA) and high disease activity (HDA) in JIA patients.Methods:The parJADAS (score range 0-40) is the sum of 4 values: 1) parent’s assessment of disease activity on a 21-numbered circle 0-10 VAS; 2) assessment of pain intensity on a 21-numbered circle 0-10 VAS; 3) proxy assessment of joint disease up to a maximum of 10 joints; 4) assessment of morning stiffness (MS) on a Likert scale, ranging from no MS (0 points) to > 2 hours of MS (10 points). The study dataset is composed of 2,412 patients with JIA, seen in 3389 visits with parJADAS available, enrolled in the the multinational registry PharmaChild, assessing the long-term safety of treatment of children with JIA. At each visit, subjects were subjectively rated as being in inactive disease, low disease activity, MDA, or HDA by the attending physician. For each patient, only one visit per disease state was retained.To identify the cut-offs the following methods were implemented: 1) Mapping: the 25thpercentile value of the parJADAS in patients having MDA or HDA, respectively, was calculated; 2) Youden Index: Youden Index (J) identifies the maximum potential effectiveness of the biomarker through the receiver operating characteristic (ROC) curve analysis; 3) Max agreement: The analysis of agreement was based on kappa statistics, which assesses the agreement beyond chance between 2 dichotomous ratings. The first rating was obtained using all possible parJADAS values as hypothetical test criteria; to obtain the second rating, the categorical ratings of each attending physician were dichotomized and were coded as 0 or 1.Results:Preliminary cut-off values for parJADAS with sensitivity and specificity are presented in the table.25th centileYouden IndexKappaMeanSensitivitySpecificityAUCMDA659773.482.00.853HDA14.81118.51571.287.60.892Conclusion:Tentative cut-off values for classifying the states of MDA and HAD using parJADAS were calculated. The obtained values will be tested in the validation analysis. Once validated the cut-offs are ideally suited to identify subjects at risk of disease flare when remotely monitored with the parJADAS.References:[1]Ridella F., et al. Ann Rheum Dis, volume 78, supplement 2, year 2019, page A1434.Acknowledgments:We wish to thank all researchers and patients participating in the PharmaChild registryDisclosure of Interests:Ilia Avrusin: None declared, Roberta Naddei: None declared, Francesca Ridella: None declared, Giedre Januskeviciute: None declared, Mikhail Kostik: None declared, Ben Whitehead: None declared, Romina Gallizzi: None declared, Elzbieta Smolewska: None declared, Serena Pastore: None declared, Philip Hashkes: None declared, Joost F. Swart: None declared, Nicolino Ruperto Grant/research support from: Bristol-Myers Squibb, Eli Lily, F Hoffmann-La Roche, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sobi (paid to institution), Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Speakers bureau: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Angelo Ravelli: None declared, Alessandro Consolaro Grant/research support from: Pfizer Inc., AlfaSigma, Speakers bureau: AbbVie

scholarly journals Validating 10-joint juvenile arthritis disease activity score cut-offs for disease activity levels in non-systemic juvenile idiopathic arthritis

RMD Open ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e000888 ◽  
Author(s):  
Maria Backström ◽  
Pirjo Tynjälä ◽  
Kristiina Aalto ◽  
Minna-Maija Grönlund ◽  
Heikki Ylijoki ◽  
...  
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Disease Activity ◽  
Disease Activity Score ◽  
Characteristic Curve ◽  
Systemic Juvenile Idiopathic Arthritis ◽  
Juvenile Arthritis ◽  
Activity Score ◽  
Inactive Disease ◽  
International Consensus ◽  
Polyarticular Disease

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.

Defining criteria for high disease activity in juvenile idiopathic arthritis based on the Juvenile Arthritis Disease Activity Score

2013 ◽  
Vol 73 (7) ◽  
pp. 1380-1383 ◽  
Author(s):  
Alessandro Consolaro ◽  
Nicolino Ruperto ◽  
Giulia Bracciolini ◽  
Alessia Frisina ◽  
Maria Chiara Gallo ◽  
...  
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Disease Activity ◽  
Disease Activity Score ◽  
Juvenile Arthritis ◽  
High Disease Activity ◽  
Activity Score

scholarly journals Seroprevalence of Antibodies against SARS-CoV-2 in Children with Juvenile Idiopathic Arthritis a Case-Control Study

2021 ◽  
Vol 10 (8) ◽  
pp. 1771
Author(s):  
Violetta Opoka-Winiarska ◽  
Ewelina Grywalska ◽  
Izabela Korona-Glowniak ◽  
Katarzyna Matuska ◽  
Anna Malm ◽  
...  
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Disease Activity ◽  
Disease Activity Score ◽  
Juvenile Arthritis ◽  
Activity Score ◽  
Control Group ◽  
Healthy Children ◽  
Serum Samples ◽  
History Of ◽  
Novel Coronavirus

There is limited data on the effect of the novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) on pediatric rheumatology. We examined the prevalence of antibodies against SARS-CoV-2 in children with juvenile idiopathic arthritis (JIA) and a negative history of COVID-19 and the correlation of the presence of these antibodies with disease activity measured by juvenile arthritis disease activity score (JADAS). In total, 62 patients diagnosed with JIA, under treatment with various antirheumatic drugs, and 32 healthy children (control group) were included. Serum samples were analyzed for inflammatory markers and antibodies and their state evaluated with the juvenile arthritis disease activity score (JADAS). JIA patients do not have a higher seroprevalence of anti-SARS-CoV-2 antibodies than healthy subjects. We found anti-SARS-CoV-2 antibodies in JIA patients who did not have a history of COVID-19. The study showed no unequivocal correlation between the presence of SARS-CoV-2 antibodies and JIA activity; therefore, this relationship requires further observation. We also identified a possible link between patients’ humoral immune response and disease-modifying antirheumatic treatment, which will be confirmed in follow-up studies.

scholarly journals POS0241 VALIDATION OF THE ANKYLOSING SPONDYLITIS DISEASE ACTIVITY SCORE WITH A QUICK QUANTITATIVE C-REACTIVE PROTEIN ASSAY (ASDAS-QCRP) IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS (AXSPA): A PROSPECTIVE, NATIONAL, MULTICENTER STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 342.1-342
Author(s):  
F. Proft ◽  
J. Schally ◽  
H. C. Brandt ◽  
J. Brandt-Juergens ◽  
G. R. Burmester ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Disease Activity Score ◽  
High Disease Activity ◽  
Activity Score ◽  
Inactive Disease ◽  
Treat To Target ◽  
C Reactive Protein ◽  
Low Disease Activity ◽  
Reactive Protein

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

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