Departments of Medicine/Rheumatology and Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Citations 4
Multimorbidity in psoriasis as a risk factor for psoriatic arthritis: a population-based study
Abstract Objectives To examine multimorbidity in psoriasis and its association with the development of psoriatic arthritis (PsA). Methods A retrospective cohort study was performed using the Rochester Epidemiology Project. Population-based incidence (2000–09) and prevalence (1 January 2010) cohorts of psoriasis were identified by manual chart review. A cohort of individuals without psoriasis (comparators) were identified (1:1 matched on age, sex and county). Morbidities were defined using two or more Clinical Classification Software codes ≥30 days apart within prior 5 years. PsA was defined using ClASsification of Psoriatic ARthritis (CASPAR) criteria. χ2 and rank-sum tests were used to compare morbidities, and age-, sex- and race-adjusted Cox models to examine the association of baseline morbidities in psoriasis with development of PsA. Results Among 817 incident psoriasis patients, the mean age was 45.2 years with 52.0% females, and 82.0% moderate/severe psoriasis. No multimorbidity differences were found between incident psoriasis patients and comparators. However, in the 1088 prevalent psoriasis patients, multimorbidity was significantly more common compared with 1086 comparators (odds ratio 1.35 and 1.48 for two or more and five or more morbidities, respectively). Over a median 13.3-year follow-up, 23 patients (cumulative incidence: 2.9% by 15 years) developed PsA. Multimorbidity (two or more morbidities) was associated with a 3-fold higher risk of developing PsA. Conclusion Multimorbidity was more common in the prevalent but not incident cohort of psoriasis compared with the general population, suggesting that patients with psoriasis may experience accelerated development of multimorbidity. Moreover, multimorbidity at psoriasis onset significantly increased the risk of developing PsA, highlighting the importance of monitoring multimorbid psoriasis patients for the development of PsA.
Psoriatic arthritis and the association with cardiometabolic disease: a narrative review
Psoriatic arthritis (PsA) is associated with a higher burden of cardiometabolic disorders, such as hypertension, dyslipidemia, diabetes, obesity, and cardiovascular disease (CVD), compared with the general population. These comorbidities are associated with the severity of disease, and adversely affect treatment outcomes in PsA. Comorbidities lead to increased physician visits and medications for patients and make the selection and maintenance of therapies challenging for physicians. Moreover, CVD is a leading cause of mortality in PsA. Therefore, optimal management of PsA should include not only treating the skin and joint disease, but also identifying comorbidities early, and managing them to improve long-term outcomes. Further studies are needed to understand the complex mechanisms, interactions, and trajectories of cardiometabolic comorbidities in psoriatic disease. Plain Language Summary Psoriatic arthritis and the association with cardiometabolic disease Psoriatic arthritis (PsA) is associated with a higher incidence and prevalence of cardiometabolic comorbidities compared with the general population, and higher than psoriasis and other inflammatory arthritides, such as rheumatoid arthritis and other spondyloarthritides. Obesity and hyperlipidemia are associated with an increased risk of developing PsA. Cardiometabolic comorbidities in PsA are associated with more severe disease and a lower likelihood of response to therapy. Suggested approaches to improve screening and management of CVD in PsA include education of family physicians and relevant specialists, development of mechanisms to improve communication between the rheumatologists and primary care providers, and novel models of care, including interdisciplinary cardio-rheumatology clinics.
Objective Existing criteria for the classification of gout have suboptimal sensitivity and/or specificity, and were developed at a time when advanced imaging was not available. The current effort was undertaken to develop new classification criteria for gout. Methods An international group of investigators, supported by the American College of Rheumatology and the European League Against Rheumatism, conducted a systematic review of the literature on advanced imaging of gout, a diagnostic study in which the presence of monosodium urate monohydrate (MSU) crystals in synovial fluid or tophus was the gold standard, a ranking exercise of paper patient cases, and a multicriterion decision analysis exercise. These data formed the basis for developing the classification criteria, which were tested in an independent data set. Results The entry criterion for the new classification criteria requires the occurrence of at least 1 episode of peripheral joint or bursal swelling, pain, or tenderness. The presence of MSU crystals in a symptomatic joint/bursa (i.e., synovial fluid) or in a tophus is a sufficient criterion for classification of the subject as having gout, and does not require further scoring. The domains of the new classification criteria include clinical (pattern of joint/bursa involvement, characteristics and time course of symptomatic episodes), laboratory (serum urate, MSU‐negative synovial fluid aspirate), and imaging (double‐contour sign on ultrasound or urate on dual‐energy computed tomography, radiographic gout‐related erosion). The sensitivity and specificity of the criteria are high (92% and 89%, respectively). Conclusion The new classification criteria, developed using a data‐driven and decision analytic approach, have excellent performance characteristics and incorporate current state‐of‐the‐art evidence regarding gout.