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Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease: the updated SMART2 algorithm

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SMART2_20211229.docxAccepted version135.01 kBMicrosoft WordView/Open
SMART2_supplement_20211206.docxSupporting information1.15 MBMicrosoft WordView/Open
Title: Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease: the updated SMART2 algorithm
Authors: Hageman, SHJ
McKay, AJ
Ueda, P
Gunn, LH
Jernberg, T
Hagstrom, E
Bhatt, DL
Steg, PG
Lall, K
Magi, R
Gynnild, MN
Ellekjaer, H
Saltvedt, I
Tunon, J
Mahillo, I
Acena, A
Kaminski, K
Chlabicz, M
Sawicka, E
Tillman, T
McEvoy, JW
Di Angelantonio, E
Graham, I
De Bacquer, D
Ray, KK
Dorresteijn, JAN
Visseren, FLJ
Item Type: Journal Article
Abstract: Aims The 10-year risk of recurrent atherosclerotic cardiovascular disease (ASCVD) events in patients with established ASCVD can be estimated with the Secondary Manifestations of ARTerial disease (SMART) risk score, and may help refine clinical management. To broaden generalizability across regions, we updated the existing tool (SMART2 risk score) and recalibrated it with regional incidence rates and assessed its performance in external populations. Methods and results Individuals with coronary artery disease, cerebrovascular disease, peripheral artery disease, or abdominal aortic aneurysms were included from the Utrecht Cardiovascular Cohort-SMART cohort [n = 8355; 1706 ASCVD events during a median follow-up of 8.2 years (interquartile range 4.2–12.5)] to derive a 10-year risk prediction model for recurrent ASCVD events (non-fatal myocardial infarction, non-fatal stroke, or cardiovascular mortality) using a Fine and Gray competing risk-adjusted model. The model was recalibrated to four regions across Europe, and to Asia (excluding Japan), Japan, Australia, North America, and Latin America using contemporary cohort data from each target region. External validation used data from seven cohorts [Clinical Practice Research Datalink, SWEDEHEART, the international REduction of Atherothrombosis for Continued Health (REACH) Registry, Estonian Biobank, Spanish Biomarkers in Acute Coronary Syndrome and Biomarkers in Acute Myocardial Infarction (BACS/BAMI), the Norwegian COgnitive Impairment After STroke, and Bialystok PLUS/Polaspire] and included 369 044 individuals with established ASCVD of whom 62 807 experienced an ASCVD event. C-statistics ranged from 0.605 [95% confidence interval (CI) 0.547–0.664] in BACS/BAMI to 0.772 (95% CI 0.659–0.886) in REACH Europe high-risk region. The clinical utility of the model was demonstrated across a range of clinically relevant treatment thresholds for intensified treatment options. Conclusion The SMART2 risk score provides an updated, validated tool for the prediction of recurrent ASCVD events in patients with established ASCVD across European and non-European populations. The use of this tool could allow for a more personalized approach to secondary prevention based upon quantitative rather than qualitative estimates of residual risk.
Issue Date: 15-Feb-2022
Date of Acceptance: 18-Jan-2022
URI: http://hdl.handle.net/10044/1/97665
DOI: 10.1093/eurheartj/ehac056
ISSN: 0195-668X
Publisher: European Society of Cardiology
Start Page: 1715
End Page: 1727
Journal / Book Title: European Heart Journal
Volume: 43
Issue: 18
Copyright Statement: © The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). This is a pre-copy-editing, author-produced version of an article accepted for publication in European Heart Journal following peer review. The definitive publisher-authenticated version Steven H J Hageman, Ailsa J McKay, Peter Ueda, Laura H Gunn, Tomas Jernberg, Emil Hagström, Deepak L Bhatt, Ph. Gabriel Steg, Kristi Läll, Reedik Mägi, Mari Nordbø Gynnild, Hanne Ellekjær, Ingvild Saltvedt, José Tuñón, Ignacio Mahíllo, Álvaro Aceña, Karol Kaminski, Malgorzata Chlabicz, Emilia Sawicka, Taavi Tillman, John W McEvoy, Emanuele Di Angelantonio, Ian Graham, Dirk De Bacquer, Kausik K Ray, Jannick A N Dorresteijn, Frank L J Visseren, on behalf of the UCC-SMART Study Group and the ESC Cardiovascular Risk Collaboration, Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease: the updated SMART2 algorithm, European Heart Journal, Volume 43, Issue 18, 7 May 2022, Pages 1715–1727 is available online at: https://doi.org/10.1093/eurheartj/ehac056
Keywords: Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Risk prediction
Secondary prevention
Established ASCVD
Personalized treatment
Residual risk
Recurrent risk
COMPETING RISKS
CLINICAL-PRACTICE
ARTERIAL-DISEASE
TASK-FORCE
OUTPATIENTS
PREVENTION
METAANALYSIS
ASSOCIATION
PREDICTION
ASPIRIN
Established ASCVD
Personalized treatment
Recurrent risk
Residual risk
Risk prediction
Secondary prevention
Algorithms
Atherosclerosis
Biomarkers
Cardiovascular Diseases
Humans
Myocardial Infarction
Risk Assessment
Risk Factors
Stroke
Humans
Cardiovascular Diseases
Myocardial Infarction
Risk Assessment
Risk Factors
Algorithms
Atherosclerosis
Stroke
Biomarkers
Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Risk prediction
Secondary prevention
Established ASCVD
Personalized treatment
Residual risk
Recurrent risk
COMPETING RISKS
CLINICAL-PRACTICE
ARTERIAL-DISEASE
TASK-FORCE
OUTPATIENTS
PREVENTION
METAANALYSIS
ASSOCIATION
PREDICTION
ASPIRIN
1102 Cardiorespiratory Medicine and Haematology
1103 Clinical Sciences
Cardiovascular System & Hematology
Publication Status: Published
Online Publication Date: 2022-02-15
Appears in Collections:Faculty of Medicine
School of Public Health