Pharmacoeconomic evaluation of treatment effectiveness with selected biologic treatment in rheumatoid arthritis...

Modern treatment of autoimmune diseases is becoming increasingly widely used. We owe it to the continuous and rapid development of biotechnology, molecular biology, immunology, and biochemistry. The proven effectiveness of biological therapy in rheumatoid arthritis (RA) should result in its widespread use. At present, only about 1% of patients with RA have access to biological therapy in Poland.

The study material was retrospectively collected in the Rheumatology and Systemic Tissue Diseases Clinic and Rheumatology Outpatient Clinic in dr Jan Biziel University Hospital No. 2 in Bydgoszcz 2009-2014. Patients were divided into 3 groups: patient receiving infliximab, etanercept and adalimumab.

The study involved analyses of cost effectiveness. The time horizon of patient documentation analysis ranged from the time a patient was enrolled to infliximab, etanercept or adalimumab therapy until remission of the disease. The majority of patients achieved remission in the case of adalimumab treatment (85.29%), followed by etanercept (74.07%), then infliximab (37.21%). Taking into account the DAS28 parameter, analysis was performed using medical costs of the analyzed treatment regimens. For this purpose, the incremental cost-effectiveness ratio (ICER) was calculated. According to the analysis, obtaining one DAS28 unit, replacing infliximab with etanercept, would cost PLN 40 964 67. Higher costs would be required in the case of replacement of infliximab with adalimumab - PLN 43 076 08. Obtaining one additional DAS28 unit (in this case, a decrease in DAS28 by one unit) by introducing adalimumab instead of etanercept would amount to PLN 45 409 74.

Undoubtedly, the pharmacoeconomic analysis makes it easier to decide on the appropriate treatment. Therefore, its implementation should be a widely used solution not only for RA, but also for other diseases. Health care and other entities' systems should also be improved in such a way that the data needed for pharmacoeconomic analysis are fully available.