Effect of early treatment on physical function in daily management of rheumatoid arthritis: a 5-year longitudinal study of rheumatoid arthritis patients in the National Database of Rheumatic Diseases in Japan

2016 ◽  
Vol 21 (4) ◽  
pp. 828-835 ◽  
Author(s):  
Akie Hirata ◽  
Yasuo Suenaga ◽  
Tomoya Miyamura ◽  
Toshihiro Matsui ◽  
Shigeto Tohma ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Longitudinal Study ◽  
Physical Function ◽  
Rheumatic Diseases ◽  
Early Treatment ◽  
National Database

scholarly journals Current Therapeutic Options in the Treatment of Rheumatoid Arthritis

2019 ◽  
Vol 8 (7) ◽  
pp. 938 ◽  
Author(s):  
Köhler ◽  
Günther ◽  
Kaudewitz ◽  
Lorenz
Keyword(s):  
Rheumatoid Arthritis ◽  
Autoimmune Disease ◽  
Disease Activity ◽  
Physical Function ◽  
Chronic Inflammation ◽  
Early Treatment ◽  
Joint Destruction ◽  
Therapeutic Options ◽  
Systemic Autoimmune Disease ◽  
Control Disease

Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic inflammation of the joints. Untreated RA leads to a destruction of joints through the erosion of cartilage and bone. The loss of physical function is the consequence. Early treatment is important to control disease activity and to prevent joint destruction. Nowadays, different classes of drugs with different modes of action are available to control the inflammation and to achieve remission. In this review, we want to discuss differences and similarities of these different drugs.

Trends in Treatment, Outcomes, and Incidence of Orthopedic Surgery in Patients with Rheumatoid Arthritis: An Observational Cohort Study Using the Japanese National Database of Rheumatic Diseases

2017 ◽  
Vol 44 (11) ◽  
pp. 1575-1582 ◽  
Author(s):  
Takumi Matsumoto ◽  
Jinju Nishino ◽  
Naohiro Izawa ◽  
Masashi Naito ◽  
Jun Hirose ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Clinical Outcome ◽  
Rheumatic Diseases ◽  
Orthopedic Surgery ◽  
Functional Disability ◽  
Supply And Demand ◽  
Linear Regression Analysis ◽  
National Database ◽  
Orthopedic Procedures ◽  
Annual Data

Objective.In this study, we investigated the changes in clinical outcome, treatment, and incidence of orthopedic surgery in patients with rheumatoid arthritis (RA) from 2004 to 2014.Methods.Data were studied from the Japanese nationwide cohort database, NinJa (National Database of Rheumatic Diseases by iR-net in Japan), from 2004 to 2014. The time trends in the incidence of orthopedic procedures were analyzed using linear regression analysis. The cross-sectional annual data were compared between 2004 and 2014 to analyze the changes in clinical outcome and treatment.Results.The incidence of orthopedic surgeries in patients with RA consistently decreased from 72.2 procedures per 1000 patients in 2004 to 51.5 procedures per 1000 patients in 2014 (regression coefficient = −0.0028, 95% CI −0.0038 to −0.0019, p < 0.001). The greatest reduction was found in total knee arthroplasty and total hip arthroplasty. Disease activity and functional disability improved significantly over this decade. The proportions of patients receiving methotrexate and biologic disease-modifying antirheumatic drugs significantly increased from 39.6% and 1.7% in 2004 to 63.8% and 27.4% in 2014, respectively.Conclusion.The overall incidence of orthopedic surgeries in patients with RA significantly decreased, accompanied by improved clinical outcomes because of the expanded use of effective drugs; however, the declining trend differed between procedures or locations. The results from the present study suggest that there might be a change in supply and demand for orthopedic surgeries.

scholarly journals AB0210 ACREULAR: AN R PACKAGE FOR THE CALCULATION AND VISUALISATION OF ACR/EULAR RELATED RHEUMATOID ARTHRITIS MEASURES

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1405.1-1406
Author(s):  
F. Morton ◽  
J. Nijjar ◽  
C. Goodyear ◽  
D. Porter
Keyword(s):  
Rheumatoid Arthritis ◽  
Functional Status ◽  
Rheumatic Diseases ◽  
Web Application ◽  
R Package ◽  
Diagnostic Classification ◽  
Microsoft Excel ◽  
Link Type ◽  
Large Joint ◽  
Programming Skills

Background:The American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR) individually and collaboratively have produced/recommended diagnostic classification, response and functional status criteria for a range of different rheumatic diseases. While there are a number of different resources available for performing these calculations individually, currently there are no tools available that we are aware of to easily calculate these values for whole patient cohorts.Objectives:To develop a new software tool, which will enable both data analysts and also researchers and clinicians without programming skills to calculate ACR/EULAR related measures for a number of different rheumatic diseases.Methods:Criteria that had been developed by ACR and/or EULAR that had been approved for the diagnostic classification, measurement of treatment response and functional status in patients with rheumatoid arthritis were identified. Methods were created using the R programming language to allow the calculation of these criteria, which were incorporated into an R package. Additionally, an R/Shiny web application was developed to enable the calculations to be performed via a web browser using data presented as CSV or Microsoft Excel files.Results:acreular is a freely available, open source R package (downloadable fromhttps://github.com/fragla/acreular) that facilitates the calculation of ACR/EULAR related RA measures for whole patient cohorts. Measures, such as the ACR/EULAR (2010) RA classification criteria, can be determined using precalculated values for each component (small/large joint counts, duration in days, normal/abnormal acute-phase reactants, negative/low/high serology classification) or by providing “raw” data (small/large joint counts, onset/assessment dates, ESR/CRP and CCP/RF laboratory values). Other measures, including EULAR response and ACR20/50/70 response, can also be calculated by providing the required information. The accompanying web application is included as part of the R package but is also externally hosted athttps://fragla.shinyapps.io/shiny-acreular. This enables researchers and clinicians without any programming skills to easily calculate these measures by uploading either a Microsoft Excel or CSV file containing their data. Furthermore, the web application allows the incorporation of additional study covariates, enabling the automatic calculation of multigroup comparative statistics and the visualisation of the data through a number of different plots, both of which can be downloaded.Figure 1.The Data tab following the upload of data. Criteria are calculated by the selecting the appropriate checkbox.Figure 2.A density plot of DAS28 scores grouped by ACR/EULAR 2010 RA classification. Statistical analysis has been performed and shows a significant difference in DAS28 score between the two groups.Conclusion:The acreular R package facilitates the easy calculation of ACR/EULAR RA related disease measures for whole patient cohorts. Calculations can be performed either from within R or by using the accompanying web application, which also enables the graphical visualisation of data and the calculation of comparative statistics. We plan to further develop the package by adding additional RA related criteria and by adding ACR/EULAR related measures for other rheumatic disorders.Disclosure of Interests:Fraser Morton: None declared, Jagtar Nijjar Shareholder of: GlaxoSmithKline plc, Consultant of: Janssen Pharmaceuticals UK, Employee of: GlaxoSmithKline plc, Paid instructor for: Janssen Pharmaceuticals UK, Speakers bureau: Janssen Pharmaceuticals UK, AbbVie, Carl Goodyear: None declared, Duncan Porter: None declared

scholarly journals SAT0589 RISK FOR PSYCHIATRIC HOSPITALIZATION FOLLOWING A RHEUMA-RELATED HOSPITALIZATION: RESULTS FROM A CZECH NATIONWIDE, COHORT STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1253.2-1254
Author(s):  
T. Formánek ◽  
K. Mladá ◽  
M. Husakova
Keyword(s):  
Rheumatoid Arthritis ◽  
Cohort Study ◽  
Ankylosing Spondylitis ◽  
Rheumatic Disease ◽  
Rheumatic Diseases ◽  
Psychiatric Hospitalization ◽  
Population Based ◽  
Index Hospitalization ◽  
Increased Risk ◽  
History Of

Background:Cohort studies using nationwide health registers have shown an increased risk for affective and anxiety disorders in people with ankylosing spondylitis (AS) and rheumatoid arthritis (RA) (1-3). Moreover, a nationwide cohort study demonstrated an increased risk for mental disorders in people with rheumatic diseases (4).Objectives:We aimed to investigate the risk for psychiatric hospitalization following a hospitalization for rheumatic disease.Methods:Using data from the Czech nationwide register of all-cause hospitalizations, we obtained 4 971 individuals hospitalized (index hospitalization) between 2004 and 2012 for rheumatic diseases - RA, spondyloarthritis (including AS, psoriatic arthritis and undifferentiated spondyloarthritis), systemic lupus erythematosus and systemic sclerodermia, with no history of psychiatric and rheuma-related hospitalization in the previous 10 years from the index hospitalization. On these individuals, we randomly matched (on age, gender and year of index hospitalization) controls that were hospitalized in the same time period for a non-rheumatic disease and have no history of psychiatric and rheumatic hospitalization in the last 10 years from their index hospitalization, in the ratio of 1:5. We employed conditional logistic regression for assessing the risk for psychiatric hospitalization in the subsequent 3 years from the index hospitalization. To strengthen our results, we repeated the matching step 100 times and run the analysis on each resulting dataset separately, and pooled the results. The findings are expressed as odds ratios (OR) with 95% confidence intervals (95% CI).Results:We identified an elevated risk for psychiatric (OR = 1.34, 95% CI = 1; 1.78) and for affective disorders (OR = 2.19, 95% CI = 1.17; 4.1) in people hospitalized for rheumatic diseases. We did not find a statistically significant association with organic, psychotic and anxiety disorders.Conclusion:There is an increased risk for experiencing a psychiatric disorder in the period of 3 years after a rheuma-related hospitalization.References:[1]Shen C-C, Hu L-Y, Yang AC, Kuo BI-T, Chiang Y-Y, Tsai S-J. Risk of Psychiatric Disorders following Ankylosing Spondylitis: A Nationwide Population-based Retrospective Cohort Study. The Journal of Rheumatology. 2016;43(3).[2]Park J-S, Jang H-D, Hong J-Y, Park Y-S, Han K, Suh S-W, et al. Impact of ankylosing spondylitis on depression: a nationwide cohort study. Scientific Reports. 2019;9(1):6736.[3]Hsu C-C, Chen S-C, Liu C-J, Lu T, Shen C-C, Hu Y-W, et al. Rheumatoid Arthritis and the Risk of Bipolar Disorder: A Nationwide Population-Based Study. PLOS ONE. 2014;9(9).[4]Sundquist K, Li X, Hemminki K, Sundquist J. Subsequent Risk of Hospitalization for Neuropsychiatric Disorders in Patients With Rheumatic Diseases: A Nationwide Study From Sweden. Archives of General Psychiatry. 2008;65(5):501-7.Acknowledgments:Supported by the project (Ministry of Health Czech Republic) for conceptual development of research organization 00023728 (Institute of Rheumatology).Disclosure of Interests:Tomáš Formánek: None declared, Karolina Mladá: None declared, Marketa Husakova Speakers bureau: Novartis

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