Validation of the SCORE2 risk prediction algorithm in a Portuguese population

Bibliographic Details
Main Author: Temtem, Margarida
Publication Date: 2024
Other Authors: Mendonça, Maria Isabel, Santos, Marina, Sá, Débora, Sousa, Francisco, Freitas, Sónia, Borges, Sofia, Henriques, Eva, Rodrigues, Mariana, Soares, Carolina, Rodrigues, Ricardo, Serrão, Marco, Drumond, António, Sousa, Ana Célia, Palma Reis, Roberto
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/166072
Summary: Publisher Copyright: © 2024 Sociedade Portuguesa de Cardiologia
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spelling Validation of the SCORE2 risk prediction algorithm in a Portuguese populationA new model to estimate 10-year cardiovascular disease incidence in EuropeCardiovascular disease preventionCardiovascular riskEuropean scoresCardiology and Cardiovascular MedicineSDG 3 - Good Health and Well-beingPublisher Copyright: © 2024 Sociedade Portuguesa de CardiologiaIntroduction and Objectives: Subjects without cardiovascular (CV) disease (CVD) may suffer from subclinical atherosclerosis, and are at increased risk for atherosclerotic CV events (ASCVE). The ESC/EAS risk SCORE was updated by SCORE2, which estimates 10-year risk of fatal and non-fatal CVD in European populations aged 40–69 years without established CVD or diabetes. Our aim was to compare the two ESC/EAS risk scores and to validate SCORE2 in our population. Methods: A total of 1071 individuals (age 57.2±6.1 years; 75.2% male) without CVD or diabetes, from GENEMACOR study controls, were analyzed over 5.4±3.9 years. The population was stratified into risk categories according to the two scores, and the area under the ROC curve (AUC) and Harrell's C-index assessed the scores’ performance. Calibration was performed using the goodness-of-fit test, and occurrence of the first event assessed by Cox regression. Kaplan–Meier analysis estimated SCORE2 survival. Results: SCORE stratified subjects into four risk categories: low (7.4%), moderate (46.5%), high (25.3%) and very high (20.8%), and SCORE2 into three: low-to-moderate (24.7%), high (59.0%) and very high (16.2%). SCORE presented good discrimination for CV mortality (AUC=0.838; C-index=0.834, 95% CI: 0.728–0.940), as did SCORE2 for total CV events (AUC=0.744; C-index=0.728, 95% CI: 0.648–0.808). Calibration did not show a disparity between observed and expected ASCVE. The probability of ASCVE was eight times higher in very-high-risk SCORE2 (p=0.001), and three times in the high-risk group (p=0.049). Event-free survival was 99%, 90% and 72% in the low-to-moderate, high and very-high-risk categories, respectively (p<0.0001). Conclusions: SCORE2 improved population stratification by identifying higher-risk patients, enabling early preventive measures. It showed good discriminative ability for all ASCVE.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNTemtem, MargaridaMendonça, Maria IsabelSantos, MarinaSá, DéboraSousa, FranciscoFreitas, SóniaBorges, SofiaHenriques, EvaRodrigues, MarianaSoares, CarolinaRodrigues, RicardoSerrão, MarcoDrumond, AntónioSousa, Ana CéliaPalma Reis, Roberto2024-04-11T00:35:40Z2024-082024-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/166072eng0870-2551PURE: 87105668https://doi.org/10.1016/j.repc.2023.10.011info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-13T01:40:06Zoai:run.unl.pt:10362/166072Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:51:04.256898Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Validation of the SCORE2 risk prediction algorithm in a Portuguese population
A new model to estimate 10-year cardiovascular disease incidence in Europe
title Validation of the SCORE2 risk prediction algorithm in a Portuguese population
spellingShingle Validation of the SCORE2 risk prediction algorithm in a Portuguese population
Temtem, Margarida
Cardiovascular disease prevention
Cardiovascular risk
European scores
Cardiology and Cardiovascular Medicine
SDG 3 - Good Health and Well-being
title_short Validation of the SCORE2 risk prediction algorithm in a Portuguese population
title_full Validation of the SCORE2 risk prediction algorithm in a Portuguese population
title_fullStr Validation of the SCORE2 risk prediction algorithm in a Portuguese population
title_full_unstemmed Validation of the SCORE2 risk prediction algorithm in a Portuguese population
title_sort Validation of the SCORE2 risk prediction algorithm in a Portuguese population
author Temtem, Margarida
author_facet Temtem, Margarida
Mendonça, Maria Isabel
Santos, Marina
Sá, Débora
Sousa, Francisco
Freitas, Sónia
Borges, Sofia
Henriques, Eva
Rodrigues, Mariana
Soares, Carolina
Rodrigues, Ricardo
Serrão, Marco
Drumond, António
Sousa, Ana Célia
Palma Reis, Roberto
author_role author
author2 Mendonça, Maria Isabel
Santos, Marina
Sá, Débora
Sousa, Francisco
Freitas, Sónia
Borges, Sofia
Henriques, Eva
Rodrigues, Mariana
Soares, Carolina
Rodrigues, Ricardo
Serrão, Marco
Drumond, António
Sousa, Ana Célia
Palma Reis, Roberto
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Temtem, Margarida
Mendonça, Maria Isabel
Santos, Marina
Sá, Débora
Sousa, Francisco
Freitas, Sónia
Borges, Sofia
Henriques, Eva
Rodrigues, Mariana
Soares, Carolina
Rodrigues, Ricardo
Serrão, Marco
Drumond, António
Sousa, Ana Célia
Palma Reis, Roberto
dc.subject.por.fl_str_mv Cardiovascular disease prevention
Cardiovascular risk
European scores
Cardiology and Cardiovascular Medicine
SDG 3 - Good Health and Well-being
topic Cardiovascular disease prevention
Cardiovascular risk
European scores
Cardiology and Cardiovascular Medicine
SDG 3 - Good Health and Well-being
description Publisher Copyright: © 2024 Sociedade Portuguesa de Cardiologia
publishDate 2024
dc.date.none.fl_str_mv 2024-04-11T00:35:40Z
2024-08
2024-08-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/166072
url http://hdl.handle.net/10362/166072
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0870-2551
PURE: 87105668
https://doi.org/10.1016/j.repc.2023.10.011
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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