BACKGROUND: The goals of treatment for rheumatoid arthritis (RA) are remission and low disease activity (LDA). However, many patients do not reach or maintain these targets with regard to disease control. OBJECTIVES: To identify predictive factors of remission/LDA in a cohort of RA patients who started treatment with first line tumor necrosis factor-inhibitors (TNF-i). METHODS: We included 308 RA patients treated with first line TNF-i for 2 years to evaluate remission/LDA based on the 28-joint disease activity score (DAS28). Predictive factors considered for achievement of remission/LDA were: gender, age at the time of TNF-i treatment, early arthritis, baseline C-reactive protein (CRP) and erythrocyte sedimentation rate levels, RF/anti-citrullinated protein antibody positivity, good/moderate European League Against Rheumatism response at 6 months, co-morbidities, and concomitant disease modifying antirheumatic drugs (DMARDs). Intention to treat, receiver operating characteristic curve, and univariate and multivariate analyses by logistic regression were performed. RESULTS: Positive predictors of remission/LDA in both the univariate and the multivariate analyses were: male gender, age at the time of TNF-i treatment ≤ 54 years, negative baseline CRP, and concomitant DMARDs. The presence of any co-morbidity resulted to be a negative predictor of remission/LDA in both the univariate and the multivariate analyses. CONCLUSIONS: Demographic and clinical features were identified as reliable predictors of both the achievement and the maintenance of treatment targets in a cohort of RA patients treated for 2 years with first line TNF-i.
BACKGROUND: The goals of treatment for rheumatoid arthritis (RA) are remission and low disease activity (LDA). However, many patients do not reach or maintain these targets with regard to disease control. OBJECTIVES: To identify predictive factors of remission/LDA in a cohort of RApatients who started treatment with first line tumornecrosis factor-inhibitors (TNF-i). METHODS: We included 308 RApatients treated with first line TNF-i for 2 years to evaluate remission/LDA based on the 28-joint disease activity score (DAS28). Predictive factors considered for achievement of remission/LDA were: gender, age at the time of TNF-i treatment, early arthritis, baseline C-reactive protein (CRP) and erythrocyte sedimentation rate levels, RF/anti-citrullinated protein antibody positivity, good/moderate European League Against Rheumatism response at 6 months, co-morbidities, and concomitant disease modifying antirheumatic drugs (DMARDs). Intention to treat, receiver operating characteristic curve, and univariate and multivariate analyses by logistic regression were performed. RESULTS: Positive predictors of remission/LDA in both the univariate and the multivariate analyses were: male gender, age at the time of TNF-i treatment ≤ 54 years, negative baseline CRP, and concomitant DMARDs. The presence of any co-morbidity resulted to be a negative predictor of remission/LDA in both the univariate and the multivariate analyses. CONCLUSIONS: Demographic and clinical features were identified as reliable predictors of both the achievement and the maintenance of treatment targets in a cohort of RApatients treated for 2 years with first line TNF-i.
Authors: Rocio V Gamboa-Cárdenas; Manuel F Ugarte-Gil; Massardo Loreto; Mónica P Sacnun; Verónica Saurit; Mario H Cardiel; Enrique R Soriano; Cecilia Pisoni; Claudio M Galarza-Maldonado; Carlos Rios; Sebastião C Radominski; Geraldo da R Castelar-Pinheiro; Washington Alves Bianchi; Simone Appenzeller; Inés Guimarães da Silveira; Cristiano A de Freitas Zerbini; Carlo V Caballero-Uribe; Adriana Rojas-Villarraga; Marlene Guibert-Toledano; Francisco Ballesteros; Rubén Montufar; Janitzia Vázquez-Mellado; Jorge Esquivel-Valerio; Ignacio García De La Torre; Leonor A Barile-Fabris; Fedra Irazoque Palezuelos; Lilia Andrade-Ortega; Pablo Monge; Raquel Teijeiro; Ángel F Achurra-Castillo; María H Esteva Spinetti; Graciela S Alarcón; Bernardo A Pons-Estel Journal: Clin Rheumatol Date: 2019-06-03 Impact factor: 2.980