THU0083 Simplified Patient-Derived Disease Activity Score (SPDAS2): A Simplified Version without Early Morning Stiffness

2016 ◽  
Vol 75 (Suppl 2) ◽  
pp. 209.1-209 ◽  
Author(s):  
E. Choy ◽  
A.M.H. Leung
Keyword(s):  
Disease Activity ◽  
Disease Activity Score ◽  
Morning Stiffness ◽  
Early Morning ◽  
Activity Score

Quantification and phenotype of regulatory T cells in rheumatoid arthritis according to Disease Activity Score-28

Autoimmunity ◽  
2009 ◽  
pp. 1-1
Author(s):  
Jose Miguel Sempere-Ortells ◽  
Vicente Perez-Garcia ◽  
Gema Marin-Alberca ◽  
Alejandra Peris-Pertusa ◽  
Jose Miguel Benito ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
T Cells ◽  
Regulatory T Cells ◽  
Disease Activity ◽  
Disease Activity Score ◽  
Activity Score

Evaluation of Toll-like Receptor 2 Gene Expression in Rheumatoid Arthritis and Correlation with the Disease Activity

2019 ◽  
Vol 13 (2) ◽  
pp. 140-148
Author(s):  
Mai Nasser ◽  
Noha M. Hazem ◽  
Amany Atwa ◽  
Amina Baiomy
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Autoimmune Diseases ◽  
Disease Activity ◽  
Mrna Expression ◽  
Disease Activity Score ◽  
Activity Score ◽  
Tlr2 Expression ◽  
Positive Correlation ◽  
Tlr2 Mrna

Background: Rheumatoid Arthritis (RA) is an autoimmune, chronic, and systematic disease. It affects joints and bones. The exact etiology of RA is still unclear. Varied genetic and environmental factors have been associated with the increased risk for RA. Overactivation of Toll-Like Receptors (TLRs) could initiate the development of autoimmune diseases including RA. Objective: The aim of the study was to evaluate TLR2 gene expression in rheumatoid arthritis patients and investigate its correlation with the disease activity. Materials and Methods: This study included 60 patients and 20 healthy individuals. The patients were diagnosed with RA according to the 2010 American College of Rheumatology/ European League Against Rheumatism criteria (ACR/EULAR). All included subjects did not have any joint disorders and /or autoimmune diseases. RA disease activity was determined by the disease activity score of 28 joints. Whole blood was collected from all participants. Total RNA extraction was done. TLR2 mRNA expression was assessed by reverse transcription-PCR (RT-PCR). Results: TLR2 mRNA expression was found to be significantly higher in RA patients compared to healthy controls. Also, a strong positive correlation was found between TLR2 expression level and the disease activity score. A non significant positive correlation was found between TLR2 expression and serum Rheumatoid Factor (RF) level. Conclusion: TLR2 pathway may have an important role in RA pathogenesis and could be a new biomarker for diagnosis and monitoring disease activity.

Anti-carbamylated Protein Antibodies and Serum Level of 14-3-3 Protein for Early Detection of Rheumatoid Arthritis Patient in Correlation with Rheumatoid Factor, Anti-CCP Antibodies, Disease Activity and Joint Damage using High Frequency Musculoskeletal Ultrasound

2020 ◽  
Vol 7 (2) ◽  
pp. 141-153
Author(s):  
Sahar A. Ahmed ◽  
Enas M. Darwish ◽  
Walaa A. Attya ◽  
Mai Samir ◽  
Mennatallah Elsayed ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Rheumatoid Factor ◽  
Disease Activity Score ◽  
Joint Damage ◽  
Musculoskeletal Ultrasound ◽  
Activity Score ◽  
Das 28 ◽  
Significant Difference ◽  
Hands And Feet

Background: Rheumatoid arthritis (RA) is a common progressive chronic inflammatory autoimmune disease which affects mostly small joints, causing pain, swelling, deformity, and disability. Although progress has been made in exploring RA nature, still there is a lot to know about the disease pathogenesis, diagnosis, and treatment. Aim of the Work: To investigate the role of serum anti-carbamylated protein antibodies and 14-3-3η in the diagnosis of RA compared to rheumatoid factor (RF), anti-CCP antibodies, and highfrequency musculoskeletal ultrasound used to assess the disease activity and joint damage. Methods: Serum anti-carbamylated protein antibodies and 14-3-3η were measured using ELISA in 61 RA patients and 26 normal controls. RA Disease Activity Score (DAS 28), X-ray and musculoskeletal ultrasound (hands and feet), carotid ultrasound (Intima-Media Thickness IMT) were used in assessing the RA disease. Results: Anti-carbamylated protein antibodies were significantly elevated in RA patients 4.5 (4.1- 8.9 U⁄ml) compared to the control 3.2(1.9- 4.3 U⁄ml) (p< 0.001) but 14-3-3η showed no significant difference. There was a significant positive correlation between anti-carbamylated protein antibodies, 14-3-3η levels and disease activity score assessed by DAS 28, increased IMT measured by carotid duplex, total synovitis and total erosion score were assessed by musculoskeletal ultrasound. There was no correlation between RF and anti-CCP antibodies. Anti-carbamylated protein antibodies were found to have 66.7% sensitivity and 85.2% specificity in RA diagnosis, while 14- 3-3η had 51.9% sensitivity and 72.1% specificity. Conclusion: Anti-carbamylated protein antibodies and 14-3-3η have a high sensitivity and specificity in RA diagnosis and had a correlation with the disease activity and joint damage.

OP0003 Development and Preliminary Validation of a Candidate Disease Activity Score for Gout

2013 ◽  
Vol 72 (Suppl 3) ◽  
pp. A48.3-A49 ◽  
Author(s):  
C. A. Scirè ◽  
C. Viroli ◽  
M. Manara ◽  
M. A. Cimmino ◽  
M. Govoni ◽  
...  
Keyword(s):  
Disease Activity ◽  
Disease Activity Score ◽  
Activity Score ◽  
Preliminary Validation

scholarly journals OP0008 DEVELOPMENT AND VALIDATION OF AN ALTERNATIVE ANKYLOSING SPONDYLITIS DISEASE ACTIVITY SCORE WHEN PATIENT GLOBAL ASSESSMENT IS UNAVAILABLE

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 6-6
Author(s):  
A. Ortolan ◽  
S. Ramiro ◽  
F. A. Van Gaalen ◽  
T. K. Kvien ◽  
R. B. M. Landewé ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Psychometric Properties ◽  
Global Assessment ◽  
Disease Activity Score ◽  
Validation Cohort ◽  
Patient Global Assessment ◽  
Activity Score ◽  
Research Support ◽  
Low Disease Activity

Background:Ankylosing Spondylitis Disease Activity Score (ASDAS) is a composite index measuring disease activity in axial spondyloarthritis (axSpA). It includes questions from the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Patient Global Assessment (PGA), and inflammation biomarkers. However, ASDAS calculation is not always possible because PGA is sometimes not collected.Objectives:To develop an alternative ASDAS to be used in research settings when PGA is unavailable.Methods:Longitudinal data from 4 axSpA cohorts and 2 RCTs were combined. Observations were randomly split in a development (N=1026) and a validation cohort (N=1059). Substitutes of PGA by BASDAI total score, single or combined individual BASDAI questions, and a constant value, were considered. In the development cohort, conversion factors for each substitute were defined by Generalized Estimating Equations. Validation was performed in the validation cohort according to the OMERACT filter, taking into consideration: 1) Truth (agreement with original-ASDAS in the continuous score, by intraclass correlation coefficient -ICC- and in disease activity states, by weighted kappa) 2) Discrimination (standardized mean difference –SMD- of ASDAS scores between high/low disease activity states defined by external anchors e.g Patient Acceptable Symptom State –PASS-; agreement -kappa- in the % of patients reaching ASDAS improvement criteria according to alternative vs. original formulae) 3) Feasibility.Results:Taking all psychometric properties into account and comparing the different formulae (Table), alternative-ASDAS using BASDAI total as PGA replacement proved to be: 1) truthful (agreement with original-ASDAS: ICC=0.98, kappa=0.90); 2) discriminative: it could discriminate between high/low disease activity states (e.g. scores between PASS no/yes: SMD=1.37 versus original-ASDAS SMD=1.43) and was sensitive to change (agreement with original-ASDAS in major improvement/clinically important improvement criteria: kappa=0.93/0.88; 3) feasible (BASDAI total often available; conversion coefficient≈1).Table.Psychometric properties of alternative ASDAS formulaeConclusion:Alternative-ASDAS using BASDAI total score as PGA replacement is the most truthful, discriminative and feasible instrument. This index enables ASDAS calculation in existing cohorts without PGA.Disclosure of Interests:Augusta Ortolan: None declared, Sofia Ramiro: None declared, Floris A. van Gaalen: None declared, Tore K. Kvien Grant/research support from: Received grants from Abbvie, Hospira/Pfizer, MSD and Roche (not relevant for this abstract)., Consultant of: Have received personal fees from Abbvie, Biogen, BMS, Celltrion, Eli Lily, Hospira/Pfizer, MSD, Novartis, Orion Pharma, Roche, Sandoz, UCB, Sanofi and Mylan (not relevant for this abstract)., Paid instructor for: Have received personal fees from Abbvie, Biogen, BMS, Celltrion, Eli Lily, Hospira/Pfizer, MSD, Novartis, Orion Pharma, Roche, Sandoz, UCB, Sanofi and Mylan (not relevant for this abstract)., Speakers bureau: Have received personal fees from Abbvie, Biogen, BMS, Celltrion, Eli Lily, Hospira/Pfizer, MSD, Novartis, Orion Pharma, Roche, Sandoz, UCB, Sanofi and Mylan (not relevant for this abstract)., Robert B.M. Landewé Consultant of: AbbVie; AstraZeneca; Bristol-Myers Squibb; Eli Lilly & Co.; Galapagos NV; Novartis; Pfizer; UCB Pharma, Pedro M Machado Consultant of: PMM: Abbvie, Celgene, Janssen, Lilly, MSD, Novartis, Pfizer, Roche and UCB, Speakers bureau: PMM: Abbvie, BMS, Lilly, MSD, Novartis, Pfizer, Roche and UCB, Adeline Ruyssen-Witrand Grant/research support from: Abbvie, Pfizer, Consultant of: Abbvie, BMS, Lilly, Mylan, Novartis, Pfizer, Sandoz, Sanofi-Genzyme, Astrid van Tubergen Consultant of: Novartis, Caroline Bastiaenen: None declared, Désirée van der Heijde Consultant of: AbbVie, Amgen, Astellas, AstraZeneca, BMS, Boehringer Ingelheim, Celgene, Cyxone, Daiichi, Eisai, Eli-Lilly, Galapagos, Gilead Sciences, Inc., Glaxo-Smith-Kline, Janssen, Merck, Novartis, Pfizer, Regeneron, Roche, Sanofi, Takeda, UCB Pharma; Director of Imaging Rheumatology BV

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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