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  • Wibetoe, Grunde (author)

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

  • Article/chapterEnglish2020

Publisher, publication year, extent ...

  • 2020-04-23
  • Springer Nature,2020
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:umu-171345
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-171345URI
  • https://doi.org/10.1186/s13075-020-02178-zDOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • 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.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Sexton, Joseph (author)
  • Ikdahl, Eirik (author)
  • Rollefstad, Silvia (author)
  • Kitas, George D. (author)
  • van Riel, Piet (author)
  • Gabriel, Sherine (author)
  • Kvien, Tore K. (author)
  • Douglas, Karen (author)
  • Sandoo, Aamer (author)
  • Arts, Elke E. (author)
  • Wållberg-Jonsson, Solveig,1953-Umeå universitet,Reumatologi(Swepub:umu)sowa0001 (author)
  • Rantapää-Dahlqvist, SolbrittUmeå universitet,Reumatologi(Swepub:umu)sora0001 (author)
  • Karpouzas, George (author)
  • Dessein, Patrick H. (author)
  • Tsang, Linda (author)
  • El-Gabalawy, Hani (author)
  • Hitchon, Carol A. (author)
  • Pascual-Ramos, Virginia (author)
  • Contreas-Yanes, Irazu (author)
  • Sfikakis, Petros P. (author)
  • Gonzalez-Gay, Miguel A. (author)
  • Colunga-Pedraz, Iris J. (author)
  • Galarza-Delgado, Dionicio A. (author)
  • Azpiri-Lopez, Jose Ramon (author)
  • Crowson, Cynthia S. (author)
  • Semb, Anne Grete (author)
  • Umeå universitetReumatologi (creator_code:org_t)

Related titles

  • In:Arthritis Research & Therapy: Springer Nature22:11478-6362

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