Clinical Specialty Setting as Determinant of Management of Psoriatic Arthritis

Abstract

ObjectiveThe aim of this study was to examine the effect of clinical specialty setting on the management of psoriatic arthritis (PsA) as well as disease activity/burden in Brazil.MethodsThis study is a post hoc analysis of the Brazilian population in a cross-sectional, observational study conducted in 17 countries. Patients were 18 years or older with suspected or confirmed PsA attending routine visits at participating sites. Primary end points were time from symptom onset to PsA diagnosis, from diagnosis to first conventional systemic disease-modifying antirheumatic drug (DMARD) or first biologic DMARD, and from first conventional systemic DMARD to first biologic DMARD. Potential associations were assessed using the Student t test or the Mann-Whitney U nonparametric test. Normality was tested using the Shapiro-Wilk and Kolmogorov-Smirnov tests. For qualitative variables, the χ2 test was adopted.ResultsPatients (n = 130) visited dermatology (n = 75) or rheumatology (n = 55) sites. All primary end points were similar between the 2 settings; however, dermatology patients had significantly greater enthesitis counts (2.1 vs 0.6; p = 0.002), absenteeism at work (Work Productivity and Activity Impairment, 19.7% vs 5.2%; p = 0.03), and pain (Health Assessment Questionnaire–Disability Index pain scale, 1.39 vs 1.01; p = 0.032), as well as worse quality of life related to psoriasis (Dermatology Life Quality Index total score, 8.5 vs 5.0; p = 0.019) and mental health (12-item Short-Form Health Survey, version 2.0 subscale, 42.4 vs 47.4; p = 0.029).ConclusionsIn Brazil, PsA disease burden and disease activity were influenced by clinical specialty. Irrespective of setting, patients experienced a delay in being diagnosed with PsA, reinforcing the need for collaborative management of PsA by rheumatologists and dermatologists for better outcomes in these patients.

Comparison of Model Performance in Forewarning Financial Crisis of Publicly Traded Companies: Different Algorithmic Models

“…Therefore, in order to ensure the reliability of the indicators and improve the effectiveness of subsequent financial warning models, it is necessary to conduct significance tests on the selected prewarning indicators. Therefore, before the significance test, the Shapiro-Wilk test [7] was conducted to examine the normality of the variables. A p value greater than 0.05 was used as the criterion to determine whether the indicators followed a normal distribution.…”