lifesciences
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Prediction of functional impairment and remission in rheumatoid arthritis patients by biochemical variables and genetic polymorphisms

Prediction of functional impairment and remission in rheumatoid arthritis patients by biochemical variables and genetic polymorphisms

Alejandro Balsa1, Jokin del Amo2, Francisco Blanco3, Rafael Caliz4, Lucı ´a Silva5, Raimon Sanmarti6, Francisco G. Martı ´nez7, Diego Tejedor2, Marta Artieda2, Dora Pascual-Salcedo8, Natividad Oreiro3, Maria D. Collado4, Jose L. Andreu5, Eduard Graell6, Laureano Simo ´n2, Antonio Martı ´nez2 and Juan Mulero5

Abstract

Objective. To develop a model to predict RA outcome based on biochemical variables and single nucleotide polymorphisms (SNPs).

Methods. We collected baseline data from RA patients. SNP genotyping was performed using an oligonucleotide microarray. Remission and severe disability were investigated as outcomes of the study. Logistic regression models and receiver operating characteristic (ROC) curves were used to determine sensitivity (S), specificity (Sp) and likelihood ratio (LR).

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