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Dangosydd eitem ddigidol (DOI)

  • Grunde Wibetoe
    Diakonhjemmet Hospital, Oslo
  • Joseph Sexton
    Diakonhjemmet Hospital, Oslo
  • Eirik Ikdahl
    Diakonhjemmet Hospital, Oslo
  • Silvia Rollefstad
    Diakonhjemmet Hospital, Oslo
  • George D. Kitas
    School of Sport and Exercise Sciences, University of Birmingham
  • Piet van Riel
    Radboud University Medical Center
  • Sherine Gabriel
    Rutgers Robert Wood Johnson Medical School
  • Tore K. Kvien
    Diakonhjemmet Hospital, Oslo
  • Karen Douglas
    Russells Hall Hospital, Dudley Group NHS, Dudley
  • Aamer Sandoo
  • Elke E. Arts
    Radboud University Medical Center
  • Solveig Wallberg-Jonsson
    Umea University
  • Solbritt Rantapaa Dahlqvist
    Umea University
  • George Karpouzas
    UCLA Medical Center, Torrance, CA
  • Patrick H. Dessein
    Vrije Universiteit Brussels
  • Linda Tsang
    Vrije Universiteit Brussels
  • Hani El-Gabalawy
    University of Manitoba, Winnipeg
  • Carol A. Hitchon
    University of Manitoba, Winnipeg
  • Virginia Pascual-Ramos
    Instituto Nactional de Ciencias Médicas y Nutrición Salvador Zubirán
  • Irazu Contreas-Yanes
    Instituto Nactional de Ciencias Médicas y Nutrición Salvador Zubirán
  • Petros P. Sfikakis
    National and Kapodistrian University of Athens
  • Miguel A. Gonzalez-Gay
    Universidad de Cantabria
  • Iris J. Colunga-Pedraz
    Hospital Universitario, UANL
  • Dionicio A. Galarza-Delgado
    Hospital Universitario, UANL
  • Jose Ramon Azpiri-Lopez
    Hospital Universitario, UANL
  • Cynthia S. Crowson
    Mayo Clinic, Rochester, MN
  • Anne Grete Semb
    Mayo Clinic, Rochester, MN
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.

Allweddeiriau

Iaith wreiddiolSaesneg
Rhif yr erthygl90
CyfnodolynArthritis Research & Therapy
Cyfrol22
Rhif y cyfnodolyn1
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 23 Ebr 2020

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