Objectives To examine the performance of ultrasound for the diagnosis of gout using presence of monosodium urate (MSU) crystals as the gold standard. Methods We analyzed data from the Study for Updated Gout Classification Criteria (SUGAR), a large, multi-center observational cross-sectional study of consecutive subjects with at least one swollen joint who conceivably may have gout. All subjects underwent arthrocentesis; cases were subjects with MSU crystal confirmation. Rheumatologists or radiologists, blinded to the results of the MSU crystal analysis, performed ultrasound on one or more clinically affected joints. Ultrasound findings of interest were: double contour sign (DCS), tophus, and ‘snowstorm’ appearance. Sensitivity, specificity, positive and negative predictive values (PPV and NPV) were calculated. Multivariable logistic regression models were used to examine factors associated with positive ultrasound results among subjects with gout. Results Ultrasound was performed in 824 subjects (416 cases and 408 controls). The sensitivity, specificity, PPV and NPV for the presence of any one of the features were 76.9%, 84.3%, 83.3% and 78.1% respectively. Sensitivity was higher among subjects with disease ≥2 years duration and among subjects with subcutaneous nodules on exam (suspected tophus). Associations with a positive ultrasound finding included suspected clinical tophus (odds ratio 4.77; 95% CI 2.23–10.21), any abnormal plain film radiograph (4.68; 2.68–8.17) and serum urate (1.31; 1.06–1.62). Conclusions Ultrasound features of MSU crystal deposition had high specificity and high positive predictive value but more limited sensitivity for early gout. The specificity remained high in subjects with early disease and without clinical signs of tophi.
Background/Objective The epidemiology of vasculitis is variable in different geographic areas, and this issue has not been approached in Brazil yet. The objective of this study was to assess the frequency of vasculitis in specialized centers in Brazil. Methods This cross-sectional study was performed in 9 vasculitis outpatient clinics from 6 different states mainly from the Southeast and the Northeast regions of Brazil between 2015 and 2017. Diagnosis and/or classification criteria for Behçet disease (BD), Takayasu arteritis (TA), giant cell arteritis (GCA), polyarteritis nodosa (PAN), granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA), eosinophilic granulomatosis with polyangiitis (EGPA), and cryoglobulinemic vasculitis (CryoVas) were used to include patients with at least 6 months of follow-up in this hospital-based survey. Results A total of 1233 patients with systemic vasculitis were included from the Southeast region. Behçet disease was the most frequent vasculitis (35.0%) followed by TA (26.4%), GPA (16.2%), PAN (5.8%), GCA (5.8%), EGPA (4.3%), MPA (3.4%), and CryoVas (3.0%). Up to 7.8% of vasculitis patients had a juvenile onset, and the frequency of vasculitides found in children and adolescents was as follows: TA (52.6%), BD (24.7%), GPA (12.4%), and PAN (10.3%). No cases of EGPA, MPA, and CryoVas were diagnosed before the age of 18 years. As a comparator, 103 vasculitis patients were included in the Northeast of Brazil where TA was found in 36.9% and BD in 31.1% of vasculitis cases. No GCA cases were found in the Northeast part of Brazil. Conclusions Similar to the epidemiology of vasculitis in Asia, BD and TA are the most frequent vasculitis in Southeastern Brazilian referral centers.
Ocular inflammatory diseases can present as isolated conditions but also as part of systemic inflammatory diseases. Anterior uveitis is closely related to SpA and shares the common genetic background of HLA-B27. Other ocular manifestations, such as episcleritis and scleritis, may also occur, although less frequently. Therefore, ocular involvement has been included as one of the important clinical features of SpA in the recently published classification criteria for axial and peripheral disease. However, there are a wide variety of aetiologies for ocular diseases and this must be considered in assessment of SpA.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.