Validation of the SCORE2 risk prediction algorithm in a Portuguese population
| Main Author: | |
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| Publication Date: | 2024 |
| Other Authors: | , , , , , , , , , , , , , |
| 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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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 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10362/166072 |
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http://hdl.handle.net/10362/166072 |
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eng |
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eng |
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0870-2551 PURE: 87105668 https://doi.org/10.1016/j.repc.2023.10.011 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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