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Risk prediction tools in cardiovascular disease prevention: A report from the ESC Prevention of CVD Programme led by the European Association of Preventive Cardiology (EAPC) in collaboration with the Acute Cardiovascular Care Association (ACCA) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP)

Authors :
Xavier Rossello
Jannick AN Dorresteijn
Arne Janssen
Ekaterini Lambrinou
Martijn Scherrenberg
Eric Bonnefoy-Cudraz
Mark Cobain
Massimo F Piepoli
Frank LJ Visseren
Paul Dendale
null This paper is a co-publication betw
Centro Nacional de Investigaciones Cardiovasculares Carlos III [Madrid, Spain] (CNIC)
Instituto de Salud Carlos III [Madrid] (ISC)
Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV)
University Medical Center [Utrecht]
Jessa Ziekenhuis [Hasselt]
Cyprus University of Technology
Hasselt University (UHasselt)
Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN)
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL)
Service de Cardiologie Lyon (Hôpital Louis Pradel [CHU - HCL])
Hôpital Louis Pradel [CHU - HCL]
Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL)
Imperial College London
University of Southern California (USC)
Rossello, Xavier/0000-0001-6783-8463
Rossello, Xavier
Dorresteijn, Jannick A. N.
JANSSEN, Arne
Lambrinou, Ekaterini
SCHERRENBERG, Martijn
Bonnefoy-Cudraz, Eric
Cobain, Mark
Piepoli, Massimo F.
Visseren, Frank L. J.
DENDALE, Paul
CarMeN, laboratoire
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Source :
European Heart Journal: Acute Cardiovascular Care, European Heart Journal: Acute Cardiovascular Care, SAGE Publications, 2020, 9 (5), pp.522-532. ⟨10.1177/2048872619858285⟩, European Journal of Cardiovascular Nursing, 18(7), 534. Elsevier, European Journal of Preventive Cardiology, 26(14), 1534. SAGE Publications Ltd, European Heart Journal: Acute Cardiovascular Care, 2020, 9 (5), pp.522-532. ⟨10.1177/2048872619858285⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

Risk assessment and risk prediction have become essential in the prevention of cardiovascular disease. Even though risk prediction tools are recommended in the European guidelines, they are not adequately implemented in clinical practice. Risk prediction tools are meant to estimate prognosis in an unbiased and reliable way and to provide objective information on outcome probabilities. They support informed treatment decisions about the initiation or adjustment of preventive medication. Risk prediction tools facilitate risk communication to the patient and their family, and this may increase commitment and motivation to improve their health. Over the years many risk algorithms have been developed to predict 10-year cardiovascular mortality or lifetime risk in different populations, such as in healthy individuals, patients with established cardiovascular disease and patients with diabetes mellitus. Each risk algorithm has its own limitations, so different algorithms should be used in different patient populations. Risk algorithms are made available for use in clinical practice by means of - usually interactive and online available - tools. To help the clinician to choose the right tool for the right patient, a summary of available tools is provided. When choosing a tool, physicians should consider medical history, geographical region, clinical guidelines and additional risk measures among other things. Currently, the website is the only risk prediction tool providing prediction algorithms for all patient categories, and its implementation in clinical practice is suggested/advised by the European Association of Preventive Cardiology. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this paper was produced within the framework of the ESC Prevention of Cardiovascular Disease Programme which is led by the European Association of Preventive Cardiology (EAPC) in collaboration with the Acute Cardiovascular Care Association (ACCA) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP). The ESC Prevention of Cardiovascular Disease Programme is supported by unrestricted educational grants. The authors received no financial support for the research, authorship, and/or publication of this article. Rossello, X (corresponding author), Ctr Nacl Invest Cardiovasc CNIC Carlos III, Melchor Fernandez Almagro 3, Madrid 28029, Spain. fjrossello@cnic.es

Details

Language :
English
ISSN :
20488726, 20488734, 14745151, and 20474873
Database :
OpenAIRE
Journal :
European Heart Journal: Acute Cardiovascular Care, European Heart Journal: Acute Cardiovascular Care, SAGE Publications, 2020, 9 (5), pp.522-532. ⟨10.1177/2048872619858285⟩, European Journal of Cardiovascular Nursing, 18(7), 534. Elsevier, European Journal of Preventive Cardiology, 26(14), 1534. SAGE Publications Ltd, European Heart Journal: Acute Cardiovascular Care, 2020, 9 (5), pp.522-532. ⟨10.1177/2048872619858285⟩
Accession number :
edsair.doi.dedup.....215ad92ad6e984782fb63815a77a577c