TAILIEUCHUNG - Báo cáo y học: "The relation between cartilage biomarkers (C2C, C1,2C, CS846, and CPII) and the long-term outcome of rheumatoid arthritis patients within the CAMERA trial"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học General Psychiatry cung cấp cho các bạn kiến thức về ngành y đề tài: The relation between cartilage biomarkers (C2C, C1,2C, CS846, and CPII) and the long-term outcome of rheumatoid arthritis patients within the CAMERA trial. | Bakker et al. Arthritis Research Therapy 2011 13 R70 http content 13 3 R70 RESEARCH ARTICLE Open Access The relation between cartilage biomarkers C2C C1 2C CS846 and CPII and the long-term outcome of rheumatoid arthritis patients within the CAMERA trial 1 1 1 3 Marije F Bakker Suzanne MM Verstappen Paco MJ Welsing Johannes WG Jacobs Zalima N Jahangier Maaike J van der Veen4 Johannes WJ Bijlsma1 and Floris PJG Lafeber1 for the Utrecht Arthritis Cohort study group Abstract Introduction The aim of this study was to investigate whether serum biomarker levels of C2C C1 2C CS846 and CPII can predict the long-term course of disease activity and radiographic progression early in the disease course of rheumatoid arthritis RA . Methods In patients in the CAMERA trial levels of biomarkers were evaluated at baseline and after 1 year of treatment. Relations of changes in biomarker values with the mean yearly radiographic progression rate and mean disease activity over a 5-year period were evaluated by using regression analysis. The added predictive value of biomarkers over established predictors for long-term outcome was analyzed by multiple linear regression analysis. Results Of 133 patients serum samples were available at baseline and after 1 year of treatment. In the regression analysis C1 2C at baseline the change in C2C C1 2C and the sum of the standardized changes in C2C C1 2C scores were statistically significantly associated with the mean yearly radiographic progression rate the change in CPII was associated with the mean disease activity over 5 years of treatment. In the multiple linear regression analysis only the change in C1 2C was of added predictive value P for radiographic progression. Explained variances of models for radiographic progression and disease activity were low and respectively and the biomarkers only marginally improved the explained variance. Conclusions The change in C1 2C in the first year after onset of

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