Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models

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dc.contributor.authorWibetoe, Grunde
dc.contributor.authorSexton, Joseph
dc.contributor.authorIkdahl, Eirik
dc.contributor.authorRollefstad, Silvia
dc.contributor.authorKitas, George D
dc.contributor.authorvan Riel, Piet
dc.contributor.authorGabriel, Sherine
dc.contributor.authorKvien, Tore K
dc.contributor.authorDouglas, Karen
dc.contributor.authorSandoo, Aamer
dc.contributor.authorArts, Elke E
dc.contributor.authorWållberg-Jonsson, Solveig
dc.contributor.authorDahlqvist, Solbritt R
dc.contributor.authorKarpouzas, George
dc.contributor.authorDessein, Patrick H
dc.contributor.authorTsang, Linda
dc.contributor.authorEl-Gabalawy, Hani
dc.contributor.authorHitchon, Carol A
dc.contributor.authorPascual-Ramos, Virginia
dc.contributor.authorContreas-Yañes, Irazu
dc.contributor.authorSfikakis, Petros P
dc.contributor.authorGonzález-Gay, Miguel A
dc.contributor.authorColunga-Pedraz, Iris J
dc.contributor.authorGalarza-Delgado, Dionicio A
dc.contributor.authorAzpiri-Lopez, Jose R
dc.contributor.authorCrowson, Cynthia S
dc.contributor.authorSemb, Anne G
dc.date.accessioned2020-05-01T03:32:10Z
dc.date.issued2020-04-23
dc.date.updated2020-05-01T03:32:10Z
dc.description.abstractAbstract Background In younger individuals, low absolute risk of cardiovascular disease (CVD) may conceal an increased risk age and relative risk of CVD. Calculation of risk age is proposed as an adjuvant to absolute CVD risk estimation in European guidelines. We aimed to compare the discriminative ability of available risk age models in prediction of CVD in rheumatoid arthritis (RA). Secondly, we also evaluated the performance of risk age models in subgroups based on RA disease characteristics. Methods RA patients aged 30–70 years were included from an international consortium named A Trans-Atlantic Cardiovascular Consortium for Rheumatoid Arthritis (ATACC-RA). Prior CVD and diabetes mellitus were exclusion criteria. The discriminatory ability of specific risk age models was evaluated using c-statistics and their standard errors after calculating time until fatal or non-fatal CVD or last follow-up. Results A total of 1974 patients were included in the main analyses, and 144 events were observed during follow-up, the median follow-up being 5.0 years. The risk age models gave highly correlated results, demonstrating R2 values ranging from 0.87 to 0.97. However, risk age estimations differed > 5 years in 15–32% of patients. C-statistics ranged 0.68–0.72 with standard errors of approximately 0.03. Despite certain RA characteristics being associated with low c-indices, standard errors were high. Restricting analysis to European RA patients yielded similar results. Conclusions The cardiovascular risk age and vascular age models have comparable performance in predicting CVD in RA patients. The influence of RA disease characteristics on the predictive ability of these prediction models remains inconclusive.
dc.identifier.citationArthritis Research & Therapy. 2020 Apr 23;22(1):90
dc.identifier.urihttps://doi.org/10.1186/s13075-020-02178-z
dc.identifier.urihttp://hdl.handle.net/1993/34674
dc.language.rfc3066en
dc.rightsopen accessen_US
dc.rights.holderThe Author(s)
dc.titlePrediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
dc.typeJournal Article
local.author.affiliationRady Faculty of Health Sciencesen_US
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