%0 Journal Article %A Anthony V. Perruccio %A Matthew Got %A Suzanne Li %A Yang Ye %A Dafna D. Gladman %A Vinod Chandran %T Treating Psoriatic Arthritis to Target: Defining Psoriatic Arthritis Disease Activity Score (PASDAS) That Reflects State Of Minimal Disease Activity (MDA) %D 2019 %R 10.3899/jrheum.181472 %J The Journal of Rheumatology %P jrheum.181472 %X Objective PASDAS is a composite disease activity measure (range 0–10) for psoriatic arthritis (PsA). We aimed to validate a cutoff value of PsA Disease Activity Score (PASDAS) that defines minimal disease activity (MDA) state, as well as validate previously defined PASDAS cutoffs for low and high disease activity. Methods Patients were prospectively recruited from the University of Toronto PsA clinic according to a standard protocol and variables necessary to complete the PASDAS and the MDA were collected. ROC curve analysis determined the optimal PASDAS cutoff discriminating patients in MDA state from those not in MDA. Previously proposed PASDAS disease activity cutoff scores were validated by determining the proportion of patients requiring treatment escalation, a surrogate of active disease, in each of low, moderate, and high disease activity groups. Results 178 patients [53.9% male, mean (sd) PASDAS 3.29 (1.29), 48.9% in MDA] were recruited. ROC curve analysis identified a PASDAS score of 3.2 as the point that maximized the sensitivity and specificity for MDA based on 5 of 7 criteria (sensitivity 88%, specificity 92%, AUC 0.96). For MDA based on meeting 6 of 7 and 7 of 7 criteria, PASDAS scores of 2.6 and 2.1 maximized sensitivity and specificity, respectively. An increasing proportion of patients from low to high disease activity groups required treatment escalation, increasing from 8.1% to 42% to 67%. Conclusion A PASDAS score <3.2 reflects MDA. This study has externally validated PASDAS cutoff scores previously proposed to differentiate between low, moderate and high disease activity. %U https://www.jrheum.org/content/jrheum/early/2019/06/11/jrheum.181472.full.pdf