Background Psoriatic arthritis (PA) is a chronic inflamatory joint diseasewhich combines skin disease (psoriasis) with various joint manifestations (spondylitis, peripheral arthritis, dactilytis and enthesitis) (1). Some authors said that 11% of individuals with psoriasis had PA, but with more severe psoriasis the number rose to 56% (2).
There are many composite instruments used for assessment of disease activity, most of them borrowed from another inflammatory disease, particularly rheumatoid arthritis, but none has been firmily established yet (1,3). Disease heterogeneity makes failure use of a single instrument to assess the whole spectrum of clinical feature requiring a separate assessement of the disease manifestation.
Objectives To compare different tools and methods for assessing disease activity in patient with PA.
Methods A cohort study was performed in our rheumatology department on 33 patients with PA, consecutively included from august 2011 to december 2011. All patients met the CASPAR criteria for PA. The assessment included clinical (tender joint, swollen joint, VAS score, patient global assessment, MASES score) and laboratory variables (ESR,CRP). Also imaging (limb joint X-ray and enthesis ultrasound) and clinical evaluation on skin disease (with PASI score) was made. Moreover, we used a composite index originally developed for reactive arthritis (DAPSA) to express the disease activity.
Results The cohort included 18 men and 15 women with mean age 56.55±8.83 years, with family history of psoriasis in about 18.2% of cases. 33.3% had early disease and 27.3% had a disease older than 10 year. Majority of patients (87.9%) following DMARD therapy and 63.6% had erosive disease. Patients with family history of psoriasis had more biological active disease with mean of CRP 6.67±2.65 (p=0.03). Related to disease activity scores, DAPSA score is more increased in polyarticular and decreased when co-exist axial involvement (29.38±17.65 and 15.01±6.10, respectively) (p=0.05). Moreover, DAPSA score had good correlation with clinical indices used in practice (tender joints, swollen joints, VAS score, ESR and CRP), but no correlation with PASI score, entheseal scores (MASEI, MASES) and erosive peripheral disease. PASI score had good correlation only with MASES score (p=0.009, r=0.4). Moreover, MASES score is related with axial involvement (6.71±2.13, p=0.05).
Conclusions The DAPSA score reflects the global activity of peripheral joint disease, but when coexist whit axial involvment we need to use suplimentarly indices like MASES and PASI score.
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Disclosure of Interest None Declared