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- W2080299747 abstract "In order to test the ability of peripheral blood gene expression profiles to predict future disease severity in patients with early rheumatoid arthritis (RA), a group of 17 patients (1 ± 0.2 years disease duration) was evaluated at baseline for gene expression profiles. Disease status was evaluated after a mean of 5 years using an index combining pain, global and recoded MHAQ scores. Unsupervised and supervised algorithms identified predictor genes whose combined expression levels correlated with follow-up disease severity scores. Unsupervised clustering algorithms separated patients into two branches. The only significant difference between these two groups was the disease severity score; demographic variables and medication usage were not different. Supervised T-Test analysis identified 19 predictor genes of future disease severity. Results were validated in an independent cohort of subjects of established RA with using Support Vector Machines and K-Nearest-Neighbor Classification. Our study demonstrates that peripheral blood gene expression profiles may be a useful tool to predict future disease severity in patients with early and established RA." @default.
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- W2080299747 date "2009-01-01" @default.
- W2080299747 modified "2023-10-16" @default.
- W2080299747 title "Prediction of Disease Severity in Patients with Early Rheumatoid Arthritis by Gene Expression Profiling" @default.
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- W2080299747 doi "https://doi.org/10.4061/2009/484351" @default.
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