The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohort

Objective: To evaluate the predictive value of the metabolic score for insulin resistance (METS-IR) in identifying patients with psoriatic arthritis (PsA) at high risk of cardiovascular (CV) events. Methods: Assessment of patients with PsA enrolled in the Spanish prospective CARdiovascular in ReuMAt...

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Autores: González-Gay Mantecón, Miguel Ángel, Ferraz Amaro, Iván, Castañeda, Santos, Pinto Tasende, Jose A., Uriarte Ecenarro, Miren, Plaza, Zulema, Sánchez-Alonso, Fernando, García Gómez, Carmen, González Juanatey, Carlos, Llorca Díaz, Francisco Javier|||0000-0001-8569-861X, Fernández Sueiro, José L., PintoTasende, José A, De Rábago, Eugenia González, González Fernández, María J., Codina, Ramón Huguet, Yoldi, Beatriz, Ramentol, Mercedes, Marsal, Sara, Ávila, Gabriela, Alegre, Cayetano
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/36630
Acceso en línea:https://hdl.handle.net/10902/36630
Access Level:acceso abierto
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spelling The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohortGonzález-Gay Mantecón, Miguel ÁngelFerraz Amaro, IvánCastañeda, SantosPinto Tasende, Jose A.Uriarte Ecenarro, MirenPlaza, ZulemaSánchez-Alonso, FernandoGarcía Gómez, CarmenGonzález Juanatey, CarlosLlorca Díaz, Francisco Javier|||0000-0001-8569-861XFernández Sueiro, José L.PintoTasende, José ADe Rábago, Eugenia GonzálezGonzález Fernández, María J.Codina, Ramón HuguetYoldi, BeatrizRamentol, MercedesMarsal, SaraÁvila, GabrielaAlegre, CayetanoObjective: To evaluate the predictive value of the metabolic score for insulin resistance (METS-IR) in identifying patients with psoriatic arthritis (PsA) at high risk of cardiovascular (CV) events. Methods: Assessment of patients with PsA enrolled in the Spanish prospective CARdiovascular in ReuMAtology (CARMA) project. Baseline data from 500 PsA patients without a history of CV events, chronic kidney disease, diabetes mellitus or statin use at the baseline visit were analysed. Patients were prospectively followed for 10 years in rheumatology outpatient clinics at tertiary centres. The performance of the METS-IR in predicting CV events was evaluated. METS-IR was categorised into three groups: <2.25, 2.25-2.48 and >2.48. Results: Over 4788 patient-years of follow-up, 27 individuals experienced at least one CV event. The annualised incidence rate was 5.6 events per 1000 patient-years (95% CI: 3.7 to 8.2). PsA patients with CV events had significantly higher METS-IR scores than those without CV events (2.37±0.24 vs 2.26±0.19; p=0.01). In this regard, patients who had CV events were more commonly included in the METS-IR 2.25-2.48 and >2.48 categories than those without CV events (p=0.008). Adjusted regression models indicated that PsA patients with a METS-IR >2.48 at baseline had an increased risk of experiencing a CV event during the follow-up period. Conclusions: In PsA patients under close observation in rheumatology units included in the prospective CARMA project, METS-IR serves as a reliable prognostic predictor of CV.This work is promoted by the Spanish Society of Rheumatology. MAG-G research is supported by the Spanish Ministry of Health, Instituto de Salud Carlos III (ISCIII), Spanish Red de Investigación RICORS (RD24/0007/0031)Universidad de Cantabria20252025-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/36630RMD Open, 2025, 11(1), e005352reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/366302026-06-02T12:39:31Z
dc.title.none.fl_str_mv The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohort
title The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohort
spellingShingle The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohort
González-Gay Mantecón, Miguel Ángel
title_short The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohort
title_full The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohort
title_fullStr The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohort
title_full_unstemmed The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohort
title_sort The metabolic score for insulin resistance predicts the risk of cardiovascular disease in patients with psoriatic arthritis: results from the 10-year prospective CARMA cohort
dc.creator.none.fl_str_mv González-Gay Mantecón, Miguel Ángel
Ferraz Amaro, Iván
Castañeda, Santos
Pinto Tasende, Jose A.
Uriarte Ecenarro, Miren
Plaza, Zulema
Sánchez-Alonso, Fernando
García Gómez, Carmen
González Juanatey, Carlos
Llorca Díaz, Francisco Javier|||0000-0001-8569-861X
Fernández Sueiro, José L.
PintoTasende, José A
De Rábago, Eugenia González
González Fernández, María J.
Codina, Ramón Huguet
Yoldi, Beatriz
Ramentol, Mercedes
Marsal, Sara
Ávila, Gabriela
Alegre, Cayetano
author González-Gay Mantecón, Miguel Ángel
author_facet González-Gay Mantecón, Miguel Ángel
Ferraz Amaro, Iván
Castañeda, Santos
Pinto Tasende, Jose A.
Uriarte Ecenarro, Miren
Plaza, Zulema
Sánchez-Alonso, Fernando
García Gómez, Carmen
González Juanatey, Carlos
Llorca Díaz, Francisco Javier|||0000-0001-8569-861X
Fernández Sueiro, José L.
PintoTasende, José A
De Rábago, Eugenia González
González Fernández, María J.
Codina, Ramón Huguet
Yoldi, Beatriz
Ramentol, Mercedes
Marsal, Sara
Ávila, Gabriela
Alegre, Cayetano
author_role author
author2 Ferraz Amaro, Iván
Castañeda, Santos
Pinto Tasende, Jose A.
Uriarte Ecenarro, Miren
Plaza, Zulema
Sánchez-Alonso, Fernando
García Gómez, Carmen
González Juanatey, Carlos
Llorca Díaz, Francisco Javier|||0000-0001-8569-861X
Fernández Sueiro, José L.
PintoTasende, José A
De Rábago, Eugenia González
González Fernández, María J.
Codina, Ramón Huguet
Yoldi, Beatriz
Ramentol, Mercedes
Marsal, Sara
Ávila, Gabriela
Alegre, Cayetano
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
description Objective: To evaluate the predictive value of the metabolic score for insulin resistance (METS-IR) in identifying patients with psoriatic arthritis (PsA) at high risk of cardiovascular (CV) events. Methods: Assessment of patients with PsA enrolled in the Spanish prospective CARdiovascular in ReuMAtology (CARMA) project. Baseline data from 500 PsA patients without a history of CV events, chronic kidney disease, diabetes mellitus or statin use at the baseline visit were analysed. Patients were prospectively followed for 10 years in rheumatology outpatient clinics at tertiary centres. The performance of the METS-IR in predicting CV events was evaluated. METS-IR was categorised into three groups: <2.25, 2.25-2.48 and >2.48. Results: Over 4788 patient-years of follow-up, 27 individuals experienced at least one CV event. The annualised incidence rate was 5.6 events per 1000 patient-years (95% CI: 3.7 to 8.2). PsA patients with CV events had significantly higher METS-IR scores than those without CV events (2.37±0.24 vs 2.26±0.19; p=0.01). In this regard, patients who had CV events were more commonly included in the METS-IR 2.25-2.48 and >2.48 categories than those without CV events (p=0.008). Adjusted regression models indicated that PsA patients with a METS-IR >2.48 at baseline had an increased risk of experiencing a CV event during the follow-up period. Conclusions: In PsA patients under close observation in rheumatology units included in the prospective CARMA project, METS-IR serves as a reliable prognostic predictor of CV.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-01-01
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 https://hdl.handle.net/10902/36630
url https://hdl.handle.net/10902/36630
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-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/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-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv RMD Open, 2025, 11(1), e005352
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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