scholarly journals THE SMOKING INFLUENCE ON IMMUNOBIOLOGICAL SWITCH IN THE TREATMENT OF RHEUMATOID ARTHRITIS: DATA FROM BIOBADABRASIL

2021 ◽  
Author(s):  
Luciana Carolina Ishikawa Santos ◽  
VANDER FERNANDES ◽  
ADRIANA MARIA KAKEHASI ◽  
ANA CRISTINA MEDEIROS ◽  
ANDRÉ LUIZ SHINJI HAYATA ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Rheumatoid Arthritis Data

scholarly journals POS0517 A LONGITUDINAL STUDY OF SARCOPENIA, LOCOMOTIVE SYNDROME, AND FRAILTY IN PATIENTS WITH RHEUMATOID ARTHRITIS: FROM THE CHIKARA STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 492.2-492
Author(s):  
K. Mandai ◽  
M. Tada ◽  
Y. Yamada ◽  
T. Koike ◽  
T. Okano ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Multivariate Logistic Regression Analysis ◽  
Locomotive Syndrome ◽  
Chi Squared ◽  
Higher Doses ◽  
Rheumatoid Arthritis Data ◽  
Onset Rate ◽  
New Onset

Background:Rheumatoid arthritis (RA) patients have a high frequency of sarcopenia, and they commonly have reduced physical function. We previously reported that the prevalence of sarcopenia was 28%, that of frailty was 18.9%, and that of pre-frailty was 38.9% in RA patients1,2, and 13.2% of RA patients developed sarcopenia within a year 3.Objectives:To investigate the risk factors for new onset of sarcopenia, locomotive syndrome, and frailty in patients with RA and the course of each disease.Methods:Two-year follow-up data from the rural group of the prospective, observational CHIKARA study were used. Sarcopenia was diagnosed using the criteria of the Asian Working Group for Sarcopenia 2014, locomotive syndrome was diagnosed using locomotive 5, and frailty was diagnosed using the basic checklist. New onset of the disease over the 2-year follow-up period was studied, excluding cases that had the disease at baseline. Improvement was defined as cases with disease at baseline that no longer met the diagnostic criteria after 2 years. Differences in the characteristics of each disease were tested using the Chi-squared test and the paired t-test.Results:The 81 patients with RA (82.7% female) had mean age 66.9±11.5 years, mean DAS28-ESR 2.9±1.2, methotrexate use in 81.5% (with a dose of 9.9±2.7 mg/week), and glucocorticoid (GC) use in 22.2% (with a dose of 3.1±1.7 mg/week). The baseline prevalence was 44.4% for sarcopenia, 35.8% for locomotive syndrome, and 25.9% for frailty, and the new onset rate was 4.4% for sarcopenia, 15.4% for locomotive syndrome, and 13.3% for frailty. Of the patients with each disease at baseline, 36.1% had sarcopenia, 20.7% had locomotive syndrome, and 33.3% had frailty, and of those with each disease at 2 years, 36.1% had sarcopenia, 20.7% had locomotive syndrome, and 33.3% had frailty. The new onset sarcopenia and locomotive syndrome groups had significantly higher rates of GC use (p=0.036, p=0.007, paired t-test) and significantly higher doses (p=0.01, p=0.001, paired t-test) than the groups without new onset sarcopenia and locomotive syndrome. High baseline disease activity was an independent predictor of new onset of locomotive syndrome on multivariate logistic regression analysis (OR=3.21, p=0.015).Conclusion:The new onset rates at 2 years were 4.4% for sarcopenia, 15.4% for locomotive syndrome, and 13.3% for frailty. In the new onset sarcopenia and locomotive syndrome groups, both GC use and dosage were significantly higher.References:[1]Tada M, et al. Matrix metalloprotease 3 is associated with sarcopenia in rheumatoid arthritis - results from the CHIKARA study. Int J Rheum Dis. 2018 Nov;21(11):1962-1969.[2]Tada M, et al. Correlation between frailty and disease activity in patients with rheumatoid arthritis: Data from the CHIKARA study. Geriatr Gerontol Int. 2019 Dec;19(12):1220-1225.[3]Yamada Y, et al. Glucocorticoid use is an independent risk factor for developing sarcopenia in patients with rheumatoid arthritis: from the CHIKARA study. Clin Rheumatol. 2020 Jun;39(6):1757-1764.Disclosure of Interests:None declared

scholarly journals Network diffusion on multiple-layers: current approaches and integrative analysis of Rheumatoid Arthritis data.

2017 ◽  
Author(s):  
Noemi Di Nanni ◽  
Matteo Gnocchi ◽  
Marco Moscatelli ◽  
Luciano Milanesi ◽  
Ettore Mosca
Keyword(s):  
Rheumatoid Arthritis ◽  
Protein Interactions ◽  
Single Layer ◽  
Joint Analysis ◽  
Protein Protein Interactions ◽  
Functional Protein ◽  
Detection Function ◽  
Module Detection ◽  
Rheumatoid Arthritis Data ◽  
Network Diffusion

Network Diffusion has been proposed in several applications, thanks to its ability of amplifying biological signals and prioritizing genes that may be associated with a disease. Not surprising, the success of Network Diffusion on a “single layer” led to the first approaches for the joint analysis of multi-omics data. Here, we review integrative methods based on Network Diffusion that have been proposed with several aims (e.g. patient stratification, module detection, function prediction). We used Network Diffusion to analyse, in the context of physical and functional protein-protein interactions, genetic variation, DNA methylation and gene expression data from a study on Rheumatoid Arthritis. We identified functionally related genes with multiple alterations.

AB0322 Evaluation of Vaccines in Rheumatoid Arthritis: Data from the COMORA Study

2014 ◽  
Vol 73 (Suppl 2) ◽  
pp. 911.2-911
Author(s):  
I. Hmamouchi ◽  
K. Winthrop ◽  
O. Launay ◽  
M. Dougados
Keyword(s):  
Rheumatoid Arthritis ◽  
Rheumatoid Arthritis Data

scholarly journals A genome-wide association scan for rheumatoid arthritis data by Hotelling's T2 tests

2009 ◽  
Vol 3 (Suppl 7) ◽  
pp. S6 ◽  
Author(s):  
Lianfu Chen ◽  
Ming Zhong ◽  
Wei Chen ◽  
Christopher I Amos ◽  
Ruzong Fan
Keyword(s):  
Rheumatoid Arthritis ◽  
Genome Wide Association ◽  
Hotelling's T2 ◽  
Genome Wide ◽  
A Genome ◽  
Hotelling’S T2 ◽  
Rheumatoid Arthritis Data
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