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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/23733

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.
Authors: Hansen, Dominique
Dendale, Paul
Coninx, Karin
Vanhees, Luc
Piepoli, Massimo F.
Niebauer, Josef
Cornelissen, Veronique
Pedretti, Roberto
Geurts, Eva
Rovelo Ruiz, Gustavo
Corra, U.
Schmid, Jean-Paul
Greco, Eugenio
Davos, Constantinos
Edelmann, Frank
Abreu, Ana
Rauch, Bernhard
Ambrosetti, Marco
Braga, Simona S.
Barna, Olga
Beckers, Paul
Bussotti, Maurizio
Fagard, Robert
Faggiano, Pompilio
Garcia-Porrero, Esteban
Kouidi, Evangelia
Lamotte, Michel
Neunhauserer, Daniel
Reibis, Rona
Spruit, Martijn A.
Stettler, Christoph
Takken, Tim
Tonoli, Cajsa
Vigorito, Carlo
Voller, Heinz
Doherty, Patrick
Issue Date: 2017
Citation: European journal of preventive cardiology 24 (10), p. 1-15
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.
Notes: Hansen, D (reprint author), FESC Hasselt Univ, Fac Med & Life Sci, REVAL, Rehabil Res Ctr Agoralaan, Bldg A, B-3590 Diepenbeek, Belgium. dominique.hansen@uhasselt.be
URI: http://hdl.handle.net/1942/23733
DOI: 10.1177/2047487317702042
ISI #: 000403615200003
ISSN: 2047-4873
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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