SAT0074 Comparison of the Two Definitions of Disease Activity Score (Das)28 in Turkish Patients with Rheumatoid Arthritis (RA)

2013 ◽  
Vol 72 (Suppl 3) ◽  
pp. A605.1-A605
Author(s):  
P. Cetin ◽  
D. Solmaz ◽  
M. Birlik ◽  
I. Sari ◽  
S. Akar ◽  
...  
Author(s):  
Sahar A. Ahmed ◽  
Enas M. Darwish ◽  
Walaa A. Attya ◽  
Mai Samir ◽  
Mennatallah Elsayed ◽  
...  

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.


Author(s):  
Nyi Mekar Saptarini ◽  
Dainar Eka Pratiwi ◽  
Ellin Febrina ◽  
Marlia Singgih Wibowo ◽  
Tutus Gusdinar

ABSTRACTObjective: This study was designed to determine the correlation between Disease Activity Score (DAS 28) and the serum Cartilage Oligomeric MatrixProtein (COMP) levels in Indonesian Rheumatoid Arthritis (RA) patients. Methods: The subjects were patients who visit the rheumatology clinic at one governmental hospital in Bandung, Indonesia. DAS was determinedby the QxMD Software based on erythrocyte sedimentation rate, and serum COMP levels were determined by enzyme-linked immunosorbent assay.Statistical analysis was conducted with IBM SPSS Statistics 23. Results: DAS 28 value was 3.36 ± 0.16 which indicates the moderate disease activity. Serum COMP levels were 843.80 ± 35.79 ng/ml in RA patientsand 830.00 ± 48.92 ng/ml in normal controls. Conclusion: There is no correlation between DAS 28 and serum COMP levels in RA patients (p = 0.496 and rho = 0.129). Keywords: Autoimmune disease, Rheumatoid arthritis monitoring, Cartilage oligomeric matrix protein, Disease activity score 28


2021 ◽  
Author(s):  
Harpreet Singh ◽  
Somdatta Giri ◽  
Hemant Kumar ◽  
Pratibha Yonzone ◽  
Mahima Khatkar

Abstract Objective To assess the utility of Patient Based Disease Activity Score 2 (PDAS 2) in assessing the disease activity in Rheumatoid arthritis (RA). Methods A prospective cohort study was conducted on 80 patients of RA. The demographic and clinical characteristics of the patients were recorded. They were assessed for disease activity using “Disease Activity Score 28” (DAS 28), “Clinical Disease Activity Index” (CDAI) and PDAS 2 score at baseline (M0), at 2 months (M2) and at 4 months(M4) while they were on treatment. Data was analyzed for correlation of PDAS-2 with other scores and internal reliability. P < 0.05 was considered for statistical significance. Results The mean age was 40.13\(\pm\) 11.74 years with 70 females and 10 males. There was significant reduction in DAS28, CDAI and PDAS 2 score over 4 month follow up (all scores’ p values < 0.001). Internal reliability (as assessed by Cronbach’s Alpha) of PDAS 2 was 0.578. PDAS 2 showed significant correlation with DAS28 at M0, M2 and M4 (r = 0.792, 0.757 and 0.669 respectively, p value < 0.001) and CDAI (r = 0.861, 0.832 and 0.695 respectively, p value < 0.001). Overall there was a significant agreement between DAS 28 and PDAS 2 (K = 0.788,p < 0.001) and between CDAI and PDAS 2 (K = 0.766,p < 0.001). Conclusion PDAS-2 score can be routinely used in the clinical practice owing to its correlation with DAS-28/CDAI and because of the advantage that it assessed the patients’ daily living activities.


Author(s):  
Ahmad Alsaber ◽  
Jiazhu Pan ◽  
Adeeba Al-Herz ◽  
Dhary Alkandary ◽  
Adeeba Al-Hurban ◽  
...  

Rheumatoid arthritis (RA) is a chronic autoimmune of an unknown etiology. Air pollution has been proposed as one of the possible risk factors associated with disease activity, although has not been extensively studied. In this study, we measured the relationship between exposure to air pollutants and RA activity. Data on RA patients were extracted from the Kuwait Registry for Rheumatic Diseases (KRRD). Disease activity was measured using disease activity score with 28 examined joints (DAS-28) and the Clinical Disease Activity Index (CDAI) during their hospital visits from 2013 to 2017. Air pollution was assessed using air pollution components (PM 10 , NO 2 , SO 2 , O 3 , and CO). Air pollution data were obtained from Kuwait Environmental Public Authority (K-EPA) from six different air quality-monitoring stations during the same period. Multiple imputations by the chained equations (MICE) algorithm were applied to estimate missing air pollution data. Patients data were linked with air pollution data according to date and patient governorate address. Descriptive statistics, correlation analysis, and linear regression techniques were employed using STATA software. In total, 1651 RA patients with 9875 follow-up visits were studied. We detected an increased risk of RA using DAS-28 in participants exposed to SO 2 and NO 2 with β = 0 . 003 (95% CI: 0.0004–0.005, p < 0 . 01 ) and β = 0 . 003 (95% CI: 0.002–0.005, p < 0 . 01 ), respectively, but not to PM 10 , O 3 , and CO concentrations. Conclusively, we observed a strong association between air pollution with RA disease activity. This study suggests air pollution as a risk factor for RA and recommends further measures to be taken by the authorities to control this health problem.


Autoimmunity ◽  
2009 ◽  
pp. 1-1
Author(s):  
Jose Miguel Sempere-Ortells ◽  
Vicente Perez-Garcia ◽  
Gema Marin-Alberca ◽  
Alejandra Peris-Pertusa ◽  
Jose Miguel Benito ◽  
...  

2019 ◽  
Vol 13 (2) ◽  
pp. 140-148
Author(s):  
Mai Nasser ◽  
Noha M. Hazem ◽  
Amany Atwa ◽  
Amina Baiomy

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.


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