Search

Showing total 2 results
Start Over Topic preventive health services
2 results

1. 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).

Author

Rossello X, Dorresteijn JA, Janssen A, Lambrinou E, Scherrenberg M, Bonnefoy-Cudraz E, Cobain M, Piepoli MF, Visseren FL, Dendale P, and This Paper Is A Co-Publication Between European Journal Of Preventive Cardiology European Heart Journal Acute Cardiovascular Care And European Journal Of Cardiovascular Nursing

Subjects
Cardiovascular Diseases diagnosis, Cardiovascular Diseases epidemiology, Clinical Decision-Making, Humans, Predictive Value of Tests, Prognosis, Risk Assessment, Risk Factors, Time Factors, Algorithms, Cardiovascular Diseases prevention & control, Decision Support Techniques, Preventive Health Services
Abstract

Risk assessment 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 U-prevent.com 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.

Published
2019
Full Text
View/download PDF

2. 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)

Author

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), and 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)

Subjects
Male, Time Factors, Epidemiology, [SDV]Life Sciences [q-bio], Allied Health Personnel, Disease, 030204 cardiovascular system & hematology, Critical Care and Intensive Care Medicine, Medical and Health Sciences, 0302 clinical medicine, prevention, Risk Factors, cardiovascular disease, Preventive Health Services, Advanced and Specialised Nursing, 030212 general & internal medicine, Cardiovascular nursing, Societies, Medical, Aged, 80 and over, biology, risk assessment, General Medicine, Middle Aged, Prognosis, Risk prediction, 3. Good health, [SDV] Life Sciences [q-bio], Preventive cardiology, Europe, Primary Prevention, Medical–Surgical Nursing, Cardiovascular Diseases, Practice Guidelines as Topic, Female, patient, Cardiology and Cardiovascular Medicine, Risk assessment, Algorithms, Adult, Cardiovascular Nursing, medicine.medical_specialty, Critical Care, Clinical Decision-Making, Cardiology, Decision Support Techniques, 03 medical and health sciences, Predictive Value of Tests, Health Sciences, Medical–Surgical, medicine, Humans, Medical history, Intensive care medicine, Association (psychology), Aged, Advanced and Specialized Nursing, patient Keywords Risk prediction, Acca, Models, Statistical, business.industry, biology.organism_classification, Lifetime risk, business, Forecasting
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

Published
2020