Objective: To identify the best-performing survey definition of gout from items commonly available in epidemiologic studies. Methods: Survey definitions of gout were identified from 34 epidemiologic studies contributing to the Global Urate Genetics Consortium (GUGC) genome-wide association study. Data from the Study for Updated Gout Classification Criteria (SUGAR) were randomly divided into development and test data sets. A data-driven case definition was formed using logistic regression in the development data set. This definition, along with definitions used in GUGC studies and the 2015 American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) gout classification criteria were applied to the test data set, using monosodium urate crystal identification as the gold standard. Results: For all tested GUGC definitions, the simple definition of “self-report of gout or urate-lowering therapy use” had the best test performance characteristics (sensitivity 82%, specificity 72%). The simple definition had similar performance to a SUGAR data-driven case definition with 5 weighted items: self-report, self-report of doctor diagnosis, colchicine use, urate-lowering therapy use, and hyperuricemia (sensitivity 87%, specificity 70%). Both of these definitions performed better than the 1977 American Rheumatism Association survey criteria (sensitivity 82%, specificity 67%). Of all tested definitions, the 2015 ACR/EULAR criteria had the best performance (sensitivity 92%, specificity 89%). Conclusion: A simple definition of “self-report of gout or urate-lowering therapy use” has the best test performance characteristics of existing definitions that use routinely available data. A more complex combination of features is more sensitive, but still lacks good specificity. If a more accurate case definition is required for a particular study, the 2015 ACR/EULAR gout classification criteria should be considered.

Dalbeth, N., Schumacher, H., Fransen, J., Neogi, T., Jansen, T., Brown, M., et al. (2016). Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard. ARTHRITIS CARE & RESEARCH, 68(12), 1894-1898 [10.1002/acr.22896].

Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard

Scire C. A.;
2016

Abstract

Objective: To identify the best-performing survey definition of gout from items commonly available in epidemiologic studies. Methods: Survey definitions of gout were identified from 34 epidemiologic studies contributing to the Global Urate Genetics Consortium (GUGC) genome-wide association study. Data from the Study for Updated Gout Classification Criteria (SUGAR) were randomly divided into development and test data sets. A data-driven case definition was formed using logistic regression in the development data set. This definition, along with definitions used in GUGC studies and the 2015 American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) gout classification criteria were applied to the test data set, using monosodium urate crystal identification as the gold standard. Results: For all tested GUGC definitions, the simple definition of “self-report of gout or urate-lowering therapy use” had the best test performance characteristics (sensitivity 82%, specificity 72%). The simple definition had similar performance to a SUGAR data-driven case definition with 5 weighted items: self-report, self-report of doctor diagnosis, colchicine use, urate-lowering therapy use, and hyperuricemia (sensitivity 87%, specificity 70%). Both of these definitions performed better than the 1977 American Rheumatism Association survey criteria (sensitivity 82%, specificity 67%). Of all tested definitions, the 2015 ACR/EULAR criteria had the best performance (sensitivity 92%, specificity 89%). Conclusion: A simple definition of “self-report of gout or urate-lowering therapy use” has the best test performance characteristics of existing definitions that use routinely available data. A more complex combination of features is more sensitive, but still lacks good specificity. If a more accurate case definition is required for a particular study, the 2015 ACR/EULAR gout classification criteria should be considered.
Articolo in rivista - Articolo scientifico
Gout;
English
1894
1898
5
Dalbeth, N., Schumacher, H., Fransen, J., Neogi, T., Jansen, T., Brown, M., et al. (2016). Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard. ARTHRITIS CARE & RESEARCH, 68(12), 1894-1898 [10.1002/acr.22896].
Dalbeth, N; Schumacher, H; Fransen, J; Neogi, T; Jansen, T; Brown, M; Louthrenoo, W; Vazquez-Mellado, J; Eliseev, M; Mccarthy, G; Stamp, L; Perez-Ruiz, F; Sivera, F; H. -K., E; Gerritsen, M; Scire, C; Cavagna, L; Lin, C; Chou, Y; Tausche, A; da Rocha Castelar-Pinheiro, G; Janssen, M; Chen, J; Cimmino, M; Uhlig, T; Taylor, W
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/355309
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