Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/56008
Title: Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard
Authors: Nicola Dalbeth
H. Ralph Schumacher
Jaap Fransen
Tuhina Neogi
Tim L. Jansen
Melanie Brown
Worawit Louthrenoo
Janitzia Vazquez-Mellado
Maxim Eliseev
Geraldine McCarthy
Lisa K. Stamp
Fernando Perez-Ruiz
Francisca Sivera
Hang Korng Ea
Martijn Gerritsen
Carlo A. Scire
Lorenzo Cavagna
Chingtsai Lin
Yin Yi Chou
Anne Kathrin Tausche
Geraldo da Rocha Castelar-Pinheiro
Matthijs Janssen
Jiunn Horng Chen
Marco A. Cimmino
Till Uhlig
William J. Taylor
Authors: Nicola Dalbeth
H. Ralph Schumacher
Jaap Fransen
Tuhina Neogi
Tim L. Jansen
Melanie Brown
Worawit Louthrenoo
Janitzia Vazquez-Mellado
Maxim Eliseev
Geraldine McCarthy
Lisa K. Stamp
Fernando Perez-Ruiz
Francisca Sivera
Hang Korng Ea
Martijn Gerritsen
Carlo A. Scire
Lorenzo Cavagna
Chingtsai Lin
Yin Yi Chou
Anne Kathrin Tausche
Geraldo da Rocha Castelar-Pinheiro
Matthijs Janssen
Jiunn Horng Chen
Marco A. Cimmino
Till Uhlig
William J. Taylor
Keywords: Medicine
Issue Date: 1-Dec-2016
Abstract: © 2016, American College of Rheumatology 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84997078109&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/56008
ISSN: 21514658
2151464X
Appears in Collections:CMUL: Journal Articles

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