Characterization of patients with psoriatic arthritis in dermatologic and rheumatologic care: analysis of two registries.

BACKGROUND AND OBJECTIVE: Psoriatic arthritis (PsA) is a chronic systemic inflammatory disease affecting the musculoskeletal system, skin and nails. The aim is to characterize sociodemographic and clinical patient profiles documented in dermatologic and rheumatologic care. PATIENTS AND METHODS: Data of 704 patients with PsA from the dermatological Psoriasis Registry PsoBest (PB) and 1066 patients from the rheumatological disease registry RABBIT-SpA (RS) were analyzed. Comparable anamnestic and clinical variables were identified and descriptively analyzed. RESULTS: The mean age was 51.7 years in PB and 51.9 in RS. Disease duration of psoriasis was longer, mean cutaneous severity was higher in PB. However, more patients in RS vs. PB had tender joints and swollen joints. Mean Dermatology Life Quality Index was higher in PB and mean Health Assessment Questionnaire in RS. Patient reported global disease activity and pain were lower in PB. IL-23 inhibitors were used more frequently in PB, and TNF inhibitors in RS. CONCLUSIONS: Clinical specialization was associated with different clinical and treatment patterns of PsA. This may indicate a selection by dominant manifestation of psoriatic disease and potentially by effects of health care access. Psoriatic arthritis should be treated in a multidisciplinary approach considering all facets of this complex disease.

Depressive symptoms are associated with fatigue, poorer functional status and less engagement in sports in axSpA and PsA: an analysis from the RABBIT-SpA cohort.

BACKGROUND: In patients with axial spondyloarthritis (axSpA) or psoriatic arthritis (PsA), concomitant depression might have a negative impact on the course of disease and treatment outcomes. The aims of this analysis are to determine the prevalence of depressive symptoms in axSpA and PsA patients in a real-world cohort study and to identify sociodemographic and clinical associated factors for moderate or severe depressive symptoms in both diseases. METHODS: Patients from the RABBIT-SpA cohort with an axSpA or PsA diagnosis and a valid WHO-5 Well-Being Index score at baseline were included. A descriptive analysis of baseline and outcome parameters by category of depressive symptoms was performed and factors associated with the presence of depressive symptoms (moderate or severe) were examined in a logistic regression. RESULTS: Two thousand four hundred seventy patients (1,245 axSpA; 1,225 PsA) were included in the analysis. In both diagnoses, the proportion of patients with moderate depressive symptoms was 8% and 21% with severe symptoms. Patients with moderate or severe depressive symptoms were less likely to engage in sports than those with no or mild depressive symptoms, had more comorbidities and higher scores for disease activity, functional limitations, fatigue, and pain and took more analgesics. In axSpA, patients with a higher disease activity, a greater functional impairment and more severe fatigue were more likely to experience depressive symptoms, while patients with more years in education and engaging in sports for at least 1 h/week were less likely to experience depressive symptoms. PsA patients with a greater functional impairment and more severe fatigue were more likely to experience depressive symptoms while those engaging in sports for at least 1 h/week were less likely to experience depressive symptoms. CONCLUSION: We confirmed a high prevalence of depressive symptoms in both PsA and axSpA. Factors negatively associated with the presence of depressive symptoms were fatigue, not engaging in sports, and greater functional limitations. Depressive symptoms may affect the perception of disease activity / severity by patients. Thus, depressive symptoms are an important condition in axSpA and PsA that should be considered when evaluating disease activity and treatment outcomes.

Implementing an automated monitoring process in a digital, longitudinal observational cohort study.

BACKGROUND: Clinical data collection requires correct and complete data sets in order to perform correct statistical analysis and draw valid conclusions. While in randomized clinical trials much effort concentrates on data monitoring, this is rarely the case in observational studies- due to high numbers of cases and often-restricted resources. We have developed a valid and cost-effective monitoring tool, which can substantially contribute to an increased data quality in observational research. METHODS: An automated digital monitoring system for cohort studies developed by the German Rheumatism Research Centre (DRFZ) was tested within the disease register RABBIT-SpA, a longitudinal observational study including patients with axial spondyloarthritis and psoriatic arthritis. Physicians and patients complete electronic case report forms (eCRF) twice a year for up to 10 years. Automatic plausibility checks were implemented to verify all data after entry into the eCRF. To identify conflicts that cannot be found by this approach, all possible conflicts were compiled into a catalog. This "conflict catalog" was used to create queries, which are displayed as part of the eCRF. The proportion of queried eCRFs and responses were analyzed by descriptive methods. For the analysis of responses, the type of conflict was assigned to either a single conflict only (affecting individual items) or a conflict that required the entire eCRF to be queried. RESULTS: Data from 1883 patients was analyzed. A total of n = 3145 eCRFs submitted between baseline (T0) and T3 (12 months) had conflicts (40-64%). Fifty-six to 100% of the queries regarding eCRFs that were completely missing were answered. A mean of 1.4 to 2.4 single conflicts occurred per eCRF, of which 59-69% were answered. The most common missing values were CRP, ESR, Schober's test, data on systemic glucocorticoid therapy, and presence of enthesitis. CONCLUSION: Providing high data quality in large observational cohort studies is a major challenge, which requires careful monitoring. An automated monitoring process was successfully implemented and well accepted by the study centers. Two thirds of the queries were answered with new data. While conventional manual monitoring is resource-intensive and may itself create new sources of errors, automated processes are a convenient way to augment data quality.

Correction to: Osteoporosis in patients with rheumatoid arthritis: trends in the German National Database 2007-2017.

The original article can be found online.

Osteoporosis in patients with rheumatoid arthritis: trends in the German National Database 2007-2017.

Osteoporosis is a frequent comorbidity in rheumatoid arthritis (RA). Due to the improved treatment options for RA, we expect a long-term decrease in osteoporosis as an accompanying disease. Data from the German National Database (NDB) were used to investigate whether the frequency of osteoporosis has changed in the last 10 years. From 2007 to 2017, approximately 4000 patients were documented annually with data on therapy and comorbidity. The cross-sectional data were summarised descriptively. Age, sex, disease duration, disease activity and glucocorticoids were considered as influencing factors. The Cochrane-Armitage test for trend was used to test whether the frequency of osteoporosis at the first visit changed from 2007 to 2017. Osteoporosis frequency in RA patients (mean age 63 years, 75% female) decreased from 20% in 2007 to 6% in 2017 (p < 0.001). The decrease affected women (22% to 17%) and men (14% to 8%) in all age groups and both short-term (≤ 2-year disease duration: 9% to 3%) and long-term RA patients (> 10-year disease duration: 28% to 20%). Patients with high disease activity and patients who took glucocorticoids (GC) were more often affected by osteoporosis than patients in remission or without GC. Drug prophylaxis in patients without osteoporosis increased (20% to 41% without GC, 48% to 55% with GC). Men with GC received less prophylactic treatment than women (48% vs. 57% in 2017). In this cohort, osteoporosis in patients with RA is less frequently observed compared to former years. RA-specific risk factors for osteoporosis such as disease activity and GC therapy have declined but long-term GC use is still present. Assessment of osteoporosis in RA patients should be investigated more consistently by bone density measurement. Male RA patients still need to be given greater consideration regarding osteoporosis drug prophylaxis, especially when GC therapy is needed.