Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)

Accurate identification of individuals at high coronary risk would reduce acute coronary syndrome incidence and morbi-mortality. We analyzed the effect on coronary risk prediction of adding coronary artery calcification (CAC) and Segment Involvement Score (SIS) to cardiovascular risk factors. This w...

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Authors: Viladés-Medel, David, Dégano, Irene R., Subirana Cachinero, Isaac, Descalzo, Martin, Padilla, Mireia, Mundet-Tudurí, Xavier, Carreras Costa, Francesc, Alomar Serrallach, Xavier, Camps-Vilaró, Anna, Elosua Llanos, Roberto, Marrugat de la Iglesia, Jaume, Leta Petracca, Rubén
Format: article
Status:Published version
Publication Date:2022
Country:España
Institution:Universitat Pompeu Fabra
Repository:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/54244
Online Access:http://hdl.handle.net/10230/54244
http://dx.doi.org/10.3390/jcm11030533
Access Level:Open access
Keyword:Cardiac computed tomography
Coronary artery calcium
Coronary artery disease risk
Primary prevention
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spelling Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)Viladés-Medel, DavidDégano, Irene R.Subirana Cachinero, IsaacDescalzo, MartinPadilla, MireiaMundet-Tudurí, XavierCarreras Costa, FrancescAlomar Serrallach, XavierCamps-Vilaró, AnnaElosua Llanos, RobertoMarrugat de la Iglesia, JaumeLeta Petracca, RubénCardiac computed tomographyCoronary artery calciumCoronary artery disease riskPrimary preventionAccurate identification of individuals at high coronary risk would reduce acute coronary syndrome incidence and morbi-mortality. We analyzed the effect on coronary risk prediction of adding coronary artery calcification (CAC) and Segment Involvement Score (SIS) to cardiovascular risk factors. This was a prospective cohort study of asymptomatic patients recruited between 2013-2017. All participants underwent a coronary computed tomography angiography to determine CAC and SIS. The cohort was followed-up for a composite endpoint of myocardial infarction, coronary angiography and/or revascularization (median = five years). Discrimination and reclassification of the REGICOR function with CAC/SIS were examined with the Sommer's D index and with the Net reclassification index (NRI). Nine of the 251 individuals included had an event. Of the included participants, 94 had a CAC = 0 and 85 a SIS = 0, none of them had an event. The addition of SIS or of SIS and CAC to the REGICOR risk function significantly increased the discrimination capacity from 0.74 to 0.89. Reclassification improved significantly when SIS or both scores were included. CAC and SIS were associated with five-year coronary event incidence, independently of cardiovascular risk factors. Discrimination and reclassification of the REGICOR risk function were significantly improved by both indexes, but SIS overrode the effect of CAC.MDPI202220222022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/54244http://dx.doi.org/10.3390/jcm11030533reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésJ Clin Med. 2022 Jan 21;11(3):533© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/542442026-06-12T07:21:37Z
dc.title.none.fl_str_mv Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)
title Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)
spellingShingle Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)
Viladés-Medel, David
Cardiac computed tomography
Coronary artery calcium
Coronary artery disease risk
Primary prevention
title_short Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)
title_full Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)
title_fullStr Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)
title_full_unstemmed Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)
title_sort Usefulness of cardiac computed tomography in coronary risk prediction: A five-year follow-up of the SPICA study (Secure Prevention with Imaging of the Coronary Arteries)
dc.creator.none.fl_str_mv Viladés-Medel, David
Dégano, Irene R.
Subirana Cachinero, Isaac
Descalzo, Martin
Padilla, Mireia
Mundet-Tudurí, Xavier
Carreras Costa, Francesc
Alomar Serrallach, Xavier
Camps-Vilaró, Anna
Elosua Llanos, Roberto
Marrugat de la Iglesia, Jaume
Leta Petracca, Rubén
author Viladés-Medel, David
author_facet Viladés-Medel, David
Dégano, Irene R.
Subirana Cachinero, Isaac
Descalzo, Martin
Padilla, Mireia
Mundet-Tudurí, Xavier
Carreras Costa, Francesc
Alomar Serrallach, Xavier
Camps-Vilaró, Anna
Elosua Llanos, Roberto
Marrugat de la Iglesia, Jaume
Leta Petracca, Rubén
author_role author
author2 Dégano, Irene R.
Subirana Cachinero, Isaac
Descalzo, Martin
Padilla, Mireia
Mundet-Tudurí, Xavier
Carreras Costa, Francesc
Alomar Serrallach, Xavier
Camps-Vilaró, Anna
Elosua Llanos, Roberto
Marrugat de la Iglesia, Jaume
Leta Petracca, Rubén
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cardiac computed tomography
Coronary artery calcium
Coronary artery disease risk
Primary prevention
topic Cardiac computed tomography
Coronary artery calcium
Coronary artery disease risk
Primary prevention
description Accurate identification of individuals at high coronary risk would reduce acute coronary syndrome incidence and morbi-mortality. We analyzed the effect on coronary risk prediction of adding coronary artery calcification (CAC) and Segment Involvement Score (SIS) to cardiovascular risk factors. This was a prospective cohort study of asymptomatic patients recruited between 2013-2017. All participants underwent a coronary computed tomography angiography to determine CAC and SIS. The cohort was followed-up for a composite endpoint of myocardial infarction, coronary angiography and/or revascularization (median = five years). Discrimination and reclassification of the REGICOR function with CAC/SIS were examined with the Sommer's D index and with the Net reclassification index (NRI). Nine of the 251 individuals included had an event. Of the included participants, 94 had a CAC = 0 and 85 a SIS = 0, none of them had an event. The addition of SIS or of SIS and CAC to the REGICOR risk function significantly increased the discrimination capacity from 0.74 to 0.89. Reclassification improved significantly when SIS or both scores were included. CAC and SIS were associated with five-year coronary event incidence, independently of cardiovascular risk factors. Discrimination and reclassification of the REGICOR risk function were significantly improved by both indexes, but SIS overrode the effect of CAC.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/54244
http://dx.doi.org/10.3390/jcm11030533
url http://hdl.handle.net/10230/54244
http://dx.doi.org/10.3390/jcm11030533
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv J Clin Med. 2022 Jan 21;11(3):533
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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