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

  • the UCC-SMART Study Group and the ESC Cardiovascular Risk Collaboration
  • University Medical Centre Utrecht
  • Imperial College London
  • Karolinska Institutet
  • University of North Carolina at Charlotte
  • Danderyd Hospital
  • Uppsala Clinical Research Center
  • Harvard Medical School
  • Université Paris Descartes-Sorbonne Paris Cité
  • University of Tartu
  • Norwegian University of Science and Technology (NTNU)
  • Trondheim University Hospital
  • Universidad Autónoma de Madrid
  • CIBER de Enfermedades Cardiovasculares (CIBERCV)
  • Fundación Jiménez Díaz
  • Medical University of Białystok
  • University College London
  • National Institute of Preventive Cardiology
  • Department of Public Health and Primary Care
  • School of Medicine, Trinity College Dublin
  • Ghent University
  • Department of Cardiology
  • Department of Vascular Surgery
  • Julius Center for Health Sciences and Primary Care
  • Department of Geriatrics
  • Department of Radiology
  • Department of Obstetrics & Gynecology
  • Department of Cardiothoracic Surgery
  • Department of Neurology
  • Department of Nephrology
  • Klinikum Rechts der Isar
  • Queen Mary University of London
  • Fondazione IRCCS San Gerardo dei Tintori
  • University of Crete

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

101 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1715-1727
Number of pages13
JournalEuropean Heart Journal
Volume43
Issue number18
DOIs
Publication statusPublished - 7 May 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Established ASCVD
  • Personalized treatment
  • Recurrent risk
  • Residual risk
  • Risk prediction
  • Secondary prevention

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