08.39 Clinical evolution of patients diagnosed of rheumatoid arthritis (ra) in treatment with optimisedoptimized doses of biological therapies (bt)

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Abstract

Background

RA is the most common chronic inflammatory arthropathy. About 30% of patients are treated with BT. The optimisation of TB doses in patients in clinical remission of the disease is a strategy used in clinical practice.

Background

Primary endpoint was evaluate the clinical behaviour of RA in patients of the Rheumatology Unit of Valme University Hospital, who receive BT at optimised doses, according to the BT dose optimisation protocol elaborated in our unit.

Materials and methods

Observational, descriptive, longitudinal and retrospective study in a cohort of 32 patients diagnosed with RA, who are treated at optimised doses of TB (2008 −2014).

Materials and methods

A description of the baseline characteristics was made.

Materials and methods

The clinical evolution was measured by the DAS 28 at different times: prior to the initial reduction and subsequent reductions, at the end of the reduction and at the data collection visit.

Result

62.5% are women, mean age at diagnosis of 42.6 years. The duration of RA at the start of BT was 98.63 months and the biological treatment time at the beginning of the optimisation was 160.66 months.

Result

The 75% of the sample was FR positive and 56.7% ACPA positive. The 59.4% were with etanercept.

Result

The mean DAS28 before the reduction of BT was 2.47.

Result

At the time of analysis 21 continued with optimised doses with DAS 28: 2.67 and 11 had discontinued the dose reduction régimen, 80% by increase of the activity

Conclusions

All the patients in our study were in clinical remission at the beginning of TB optimisation.

Conclusions

The optimised TB can maintain a high percentage of patients in clinical remission. One-third of our patients are maintained in optimised doses for a long period.

Conclusions

The main reason to finalise the optimisation regimen was an increase in the activity of the disease.

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