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Patients with psoriasis are at risk of developing psoriatic arthritis, which can lead to joint damage. While screening questionnaires have been developed, their performance varies. The objective of this study was to develop a referral tool for dermatologists to identify psoriasis patients with concomitant psoriatic arthritis for rheumatological referral. This study used data from the DAPPER study, in which psoriasis patients were screened by a rheumatologist for the presence of concomitant psoriatic arthritis. Multivariable regression analysis was used to identify predictive variables for the presence of concomitant psoriatic arthritis: treatment history with conventional systemic drugs (odds ratio (OR) 2.97, 95% confidence interval (95% CI) 1.01–8.74, p=0.04), treatment history with biologicals/small molecule inhibitors (OR 2.90, 95% CI 1.52– 5.53, p=0.01), patient-reported history of joint pain not caused by trauma (OR 4.23, 95% CI 1.21–14.79, p=0.01), patient-reported history of swollen joints (OR 4.25, 95% CI 2.17–8.32, p<0.001), and patientreported history of sausage-like swollen digits (OR 2.38, 95% CI 1.25–4.55, p=0.01). Based on these variables, a referral tool was created with an area under the curve of 0.82. This referral tool could be used to aid dermatologists to identify psoriasis patients with concomitant psoriatic arthritis, who may benefit from rheumatological referral. [ABSTRACT FROM AUTHOR]

Objective The aim of the study was to determine the Minimal Important Change (MIC) values and Meaningful Change (MCV) values for the Psoriatic Arthritis Disease Activity Score (PASDAS) and the Standard Error of Measurement (s. e. m.) of the PASDAS. Methods The routine practice data for 544 patients with PsA was available for analysis. An anchor-based method using linear regression analyses was used to determine the MICs and MCVs for the PASDAS. With this anchor-based method, we compared changes in the PASDAS score with an external reference (anchor). The anchor question inquired whether the patient's well-being had changed since their previous visit. It consisted of a 7-point Likert scale (range: very much improved to very much deteriorated). Interperiod correlation matrix analysis was performed to determine the s. e. m. Results The overall MIC and MCV for the PASDAS were 0.67 (95% CI: 0.55, 0.79) and 1.34 (95% CI: 1.21, 1.46), respectively. Results for improvement and deterioration were 0.65 (95% CI: 0.46, 0.83) and 0.71 (95% CI: 0.49, 0.93) for the MIC, respectively, and 1.29 (95% CI: 1.11, 1.48) and 1.42 (95% CI: 1.19, 1.64) for the MCV, respectively. The s. e. m. was determined at 0.81. Conclusion The MIC for the PASDAS is a tool for physicians treating patients with PsA enabling them to give context to the patient's perspective of disease activity, while the MCV might aid the use of the PASDAS in PsA clinical trials. [ABSTRACT FROM AUTHOR]

Objective To assess sex differences in disease activity parameters and health-related quality of life in PsA, and to assess whether determinants associated with not reaching treatment target differed between men and women. Methods Routine practice data of 855 PsA patients, who were all tightly monitored and treated, was used. Sex differences including, but not limited to, PsA Disease Activity Score (PASDAS), skin/nail disease, SF-12 PCS/MCS, and inflammatory back pain (IBP) were assessed. Multivariate analyses were used to examine determinants associated with not reaching treatment target (PASDAS ≤ 3.2) in men and women. Results Women had worse scores for—among others—swollen and tender joints, CRP, enthesitis and function (all P < 0.001). Higher PASDAS scores were found for women [3.5  (1.5)] than men [2.7  (1.5), P < 0.001]. Likewise, women were more often not at PASDAS treatment target (OR = 2.03, P < 0.001). No difference in current medication use was found. Nail disease, IBP, number of DMARDs used (past and current), and BMI were associated with not reaching treatment target in the overall sample. For women, but not men, BMI was associated with not reaching PASDAS low disease activity (LDA) (OR between 2.41 and 3.43, P < 0.001). Conclusions Women with PsA in a tightly monitored and treated setting have more severe disease than men. This is demonstrated by worse scores for women in both subjective and objective disease activity measures, in addition to women less often reaching the treatment target. Notably, being overweight is associated with higher disease activity in women, but not men. [ABSTRACT FROM AUTHOR]

Patients with psoriasis are at risk of developing psoriatic arthritis, which can lead to irreversible joint damage. However, a proportion of patients with psoriasis and concomitant psoriatic arthritis remain undiscovered in practice. The aims of this study were: to prospectively determine prevalence, characteristics, and disease burden of psoriatic arthritis in a psoriasis population; and to determine the prevalence and characteristics of patients with active psoriatic arthritis, who were not under rheumatological care. Patients with psoriasis were screened by a rheumatologist at the dermatology outpatient clinic for psoriatic arthritis. Patients with suspected active psoriatic arthritis who were not seeing a rheumatologist were referred to a rheumatologist for confirmation. The total prevalence of psoriatic arthritis in this observational, prospective cohort (n = 303) was 24%. Patients with psoriasis with concomitant psoriatic arthritis had longer duration of skin disease and more often a treatment history with systemic therapies. In this academic, specialized, setting, 2.3% of patients (n = 7), were not receiving rheumatological care despite having active psoriatic arthritis. These patients were characterized by a combination of low (perceived) disease burden and low yield of screening questionnaires, making it difficult for dermatologists to discover psoriatic arthritis in these patients. Thus, screening for more subtle active arthritis in patients with psoriasis in a dermatology setting could be improved. [ABSTRACT FROM AUTHOR]

Objectives We aimed to investigate the disease activity and overall disease burden of (subgroups of) patients with PsA using the Psoriatic Arthritis Disease Activity Score (PASDAS) in an already tightly monitored cohort. Methods This is a cross-sectional study evaluating data from the first visit of 855 PsA patients after implementation of the PASDAS in our tightly monitored cohort [e.g. DAS 28 (DAS28) was provided as an anchor]. Differences in clinical outcomes between subgroups of patients using established cut-offs for disease activity status [i.e. very low (VLDA), low (LDA), moderate (MDA), and high disease activity (HDA)] were examined. Results Based on the PASDAS, 53.1% of patients were in VLDA/LDA. 29.5% of patients had ≥1 swollen joint, 20.6% had ≥1 enthesitis index point and 3.0% had active dactylitis. Based on DAS28, 77.5% of the patients were in VLDA/LDA. Patients reaching both DAS28 VLDA/LDA status and PASDAS VLDA/LDA status [ N  = 445 (52.0%)] were compared with patients reaching only DAS28 VLDA/LDA status [ N  = 218 (25.5%)]. For these latter patients, significantly worse scores on separate parameters were found in measures used for PASDAS/DAS28 calculation (e.g. swollen and tender joint count and patient's visual analogue scale global disease activity) as well as other disease measures (e.g. function and inflammatory back pain). This result remained, even when the stricter VLDA cut-off was used for the DAS28. Conclusion PASDAS implementation uncovered relevant residual disease activity in a quarter of patients previously assessed as being in DAS28 VLDA/LDA, underscoring the potential value of PASDAS measurements in PsA clinical care. [ABSTRACT FROM AUTHOR]

A correction to the article "Measuring Disease Activity in Psoriatic Arthritis: PASDAS Implementation in a Tightly Monitored Cohort Reveals Residual Disease Burden," that was published in a previous issue is presented.

Psoriasis (Pso) is a chronic inflammatory skin disease, and up to 30% of Pso patients develop psoriatic arthritis (PsA), which can lead to irreversible joint damage. Early detection of PsA in Pso patients is crucial for timely treatment but difficult for dermatologists to implement. We, therefore, aimed to find disease-specific immune profiles, discriminating Pso from PsA patients, possibly facilitating the correct identification of Pso patients in need of referral to a rheumatology clinic. The phenotypes of peripheral blood immune cells of consecutive Pso and PsA patients were analyzed, and disease-specific immune profiles were identified via a machine learning approach. This approach resulted in a random forest classification model capable of distinguishing PsA from Pso (mean AUC = 0.95). Key PsA-classifying cell subsets selected included increased proportions of differentiated CD4+CD196+CD183-CD194+ and CD4+CD196-CD183-CD194+ T-cells and reduced proportions of CD196+ and CD197+ monocytes, memory CD4+ and CD8+ T-cell subsets and CD4+ regulatory T-cells. Within PsA, joint scores showed an association with memory CD8+CD45RA-CD197- effector T-cells and CD197+ monocytes. To conclude, through the integration of in-depth flow cytometry and machine learning, we identified an immune cell profile discriminating PsA from Pso. This immune profile may aid in timely diagnosing PsA in Pso. [ABSTRACT FROM AUTHOR]

The article discusses a study which showed better clinical outcomes of treat-to-target (T2T) in psoriatic arthritis (PsA) compared with usual care using minimal disease activity (MDA) criteria as treatment targets. Topics covered include a routine measurement of Psoriatic Arthritis Disease Activity Score (PASDAS) that was implemented in the study, the different stages of the implementation process, and clinical outcome of the study.

An abstract of the conference paper "Macrophage dysfunction in Psoriatic Arthritis," by several researchers including, Mark H. Wenink, Kim C. M. Santegoets, and John Butcher is presented.