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

© 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...

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Main Authors: 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., Ea H., 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.
Format: Journal
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84997078109&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41284
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spelling th-cmuir.6653943832-412842017-09-28T04:20:21Z Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard 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. Ea H. 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. © 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. 2017-09-28T04:20:21Z 2017-09-28T04:20:21Z 2016-12-01 Journal 2151464X 2-s2.0-84997078109 10.1002/acr.22896 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84997078109&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/41284
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 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.
format Journal
author 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.
Ea H.
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.
spellingShingle 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.
Ea H.
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.
Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard
author_facet 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.
Ea H.
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.
author_sort Dalbeth N.
title Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard
title_short Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard
title_full Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard
title_fullStr Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard
title_full_unstemmed Survey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standard
title_sort survey definitions of gout for epidemiologic studies: comparison with crystal identification as the gold standard
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84997078109&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41284
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