The key component in the management of patients with rheumatoid arthritis (RA) is regular control of RA activity. The quantitative assessment of a patient’s status allows the development of standardized indications for anti-rheumatic therapy. Objective: to identify the laboratory biomarkers able to reflect RA activity. Subjects and methods. Fifty-eight patients with RA and 30 age- and sex-matched healthy donors were examined. The patients were divided into high/moderate and mild disease activity groups according to DAS28. The serum concentrations of 30 biomarkers were measured using immunonephelometric assay, enzyme immunoassay, and xMAP technology. Results and discussion . Multivariate analysis could identify the factors mostly related to high/moderate RA activity according to DAS28, such as fibroblast growth factor-2, monocyte chemoattractant protein-1, interleukins (IL) 1α, 6, and 15, and tumor necrosis factor-α and could create a prognostic model for RA activity assessment. ROC analysis has shown that this model has excellent diagnostic efficiency in differentiating high/moderate versus low RA activity. Conclusion. To create a subjective assessment-independent immunological multiparameter index of greater diagnostic accuracy than the laboratory parameters routinely used in clinical practice may be a qualitatively new step in assessing and monitoring RA activity.