The European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool: A digital training and decision support system for optimized exercise prescription in cardiovascular disease. Concept, definitions and construction methodology.

Abstract

Background Exercise rehabilitation is highly recommended by current guidelines on prevention of cardiovascular disease, but its implementation is still poor. Many clinicians experience difficulties in prescribing exercise in the presence of different concomitant cardiovascular diseases and risk factors within the same patient. It was aimed to develop a digital training and decision support system for exercise prescription in cardiovascular disease patients in clinical practice: the European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool. Methods EXPERT working group members were requested to define (a) diagnostic criteria for specific cardiovascular diseases, cardiovascular disease risk factors, and other chronic non-cardiovascular conditions, (b) primary goals of exercise intervention, (c) disease-specific prescription of exercise training (intensity, frequency, volume, type, session and programme duration), and (d) exercise training safety advices. The impact of exercise tolerance, common cardiovascular medications and adverse events during exercise testing were further taken into account for optimized exercise prescription. Results Exercise training recommendations and safety advices were formulated for 10 cardiovascular diseases, five cardiovascular disease risk factors (type 1 and 2 diabetes, obesity, hypertension, hypercholesterolaemia), and three common chronic non-cardiovascular conditions (lung and renal failure and sarcopaenia), but also accounted for baseline exercise tolerance, common cardiovascular medications and occurrence of adverse events during exercise testing. An algorithm, supported by an interactive tool, was constructed based on these data. This training and decision support system automatically provides an exercise prescription according to the variables provided. Conclusion This digital training and decision support system may contribute in overcoming barriers in exercise implementation in common cardiovascular diseases.

DOI: 10.1177/2047487317702042

Cite this paper

@article{Hansen2017TheEA, title={The European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool: A digital training and decision support system for optimized exercise prescription in cardiovascular disease. Concept, definitions and construction methodology.}, author={Dominique Hansen and Paul Dendale and Karin Coninx and Luc Vanhees and Massimo Francesco Piepoli and Josef Niebauer and V{\'e}ronique A. Cornelissen and Roberto Franco Enrico Pedretti and Eva Geurts and Gustavo R Ruiz and Ugo Corr{\`a} and Jean-paul Schmid and Eugenio Greco and Constantinos H. Davos and Frank Edelmann and Ana Maria Fonseca Abreu and Bernhard Hermann Rauch and Marco Ambrosetti and Simona Sarzi Braga and Olga Barna and Paul Beckers and Maurizio Bussotti and Robert H. Fagard and Pompilio Massimo Faggiano and Esteban Garc{\'i}a-Porrero and Evangelia J Kouidi and Michel X Lamotte and Daniel Neunhaeuserer and Rona Reibis and Martijn A. Spruit and Christoph Stettler and Tim Takken and Cajsa Tonoli and Carlo Vigorito and Heinz V{\"{o}ller and Patrick Doherty}, journal={European journal of preventive cardiology}, year={2017}, volume={24 10}, pages={1017-1031} }