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

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...

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Autores: Grunde Wibetoe, Joseph Sexton, Eirik Ikdahl, Silvia Rollefstad, George D. Kitas, Piet van Riel, Sherine Gabriel, Tore K. Kvien, Karen Douglas, Aamer Sandoo, Elke E. Arts, Solveig Wållberg-Jonsson, Solbritt Rantapää Dahlqvist, George Karpouzas, Patrick H. Dessein, Linda Tsang, Hani El-Gabalawy, Carol A. Hitchon, Virginia Pascual-Ramos, González-Gay Mantecón, Miguel Ángel|||0000-0002-7924-7406
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/21281
Acceso en línea:http://hdl.handle.net/10902/21281
Access Level:acceso abierto
Palabra clave:Cardiovascular risk age
Vascular age
Cardiovascular disease
Risk factors
Rheumatoid arthritis
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spelling Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age modelsGrunde WibetoeJoseph SextonEirik IkdahlSilvia RollefstadGeorge D. KitasPiet van RielSherine GabrielTore K. KvienKaren DouglasAamer SandooElke E. ArtsSolveig Wållberg-JonssonSolbritt Rantapää DahlqvistGeorge KarpouzasPatrick H. DesseinLinda TsangHani El-GabalawyCarol A. HitchonVirginia Pascual-RamosGonzález-Gay Mantecón, Miguel Ángel|||0000-0002-7924-7406Cardiovascular risk ageVascular ageCardiovascular diseaseRisk factorsRheumatoid arthritisBackground: 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 exclusión 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 followup, 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.BioMed CentralUniversidad de Cantabria20202020-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/10902/21281Arthritis Research & Therapy (2020) (2020) 22:90reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/212812026-06-02T12:39:31Z
dc.title.none.fl_str_mv Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
title Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
spellingShingle Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
Grunde Wibetoe
Cardiovascular risk age
Vascular age
Cardiovascular disease
Risk factors
Rheumatoid arthritis
title_short Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
title_full Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
title_fullStr Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
title_full_unstemmed Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
title_sort Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models
dc.creator.none.fl_str_mv Grunde Wibetoe
Joseph Sexton
Eirik Ikdahl
Silvia Rollefstad
George D. Kitas
Piet van Riel
Sherine Gabriel
Tore K. Kvien
Karen Douglas
Aamer Sandoo
Elke E. Arts
Solveig Wållberg-Jonsson
Solbritt Rantapää Dahlqvist
George Karpouzas
Patrick H. Dessein
Linda Tsang
Hani El-Gabalawy
Carol A. Hitchon
Virginia Pascual-Ramos
González-Gay Mantecón, Miguel Ángel|||0000-0002-7924-7406
author Grunde Wibetoe
author_facet Grunde Wibetoe
Joseph Sexton
Eirik Ikdahl
Silvia Rollefstad
George D. Kitas
Piet van Riel
Sherine Gabriel
Tore K. Kvien
Karen Douglas
Aamer Sandoo
Elke E. Arts
Solveig Wållberg-Jonsson
Solbritt Rantapää Dahlqvist
George Karpouzas
Patrick H. Dessein
Linda Tsang
Hani El-Gabalawy
Carol A. Hitchon
Virginia Pascual-Ramos
González-Gay Mantecón, Miguel Ángel|||0000-0002-7924-7406
author_role author
author2 Joseph Sexton
Eirik Ikdahl
Silvia Rollefstad
George D. Kitas
Piet van Riel
Sherine Gabriel
Tore K. Kvien
Karen Douglas
Aamer Sandoo
Elke E. Arts
Solveig Wållberg-Jonsson
Solbritt Rantapää Dahlqvist
George Karpouzas
Patrick H. Dessein
Linda Tsang
Hani El-Gabalawy
Carol A. Hitchon
Virginia Pascual-Ramos
González-Gay Mantecón, Miguel Ángel|||0000-0002-7924-7406
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Cardiovascular risk age
Vascular age
Cardiovascular disease
Risk factors
Rheumatoid arthritis
topic Cardiovascular risk age
Vascular age
Cardiovascular disease
Risk factors
Rheumatoid arthritis
description 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 exclusión 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 followup, 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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10902/21281
url http://hdl.handle.net/10902/21281
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv Arthritis Research & Therapy (2020) (2020) 22:90
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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