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. (July 2017)
- Record Type:
- Journal Article
- 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. (July 2017)
- Main 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
Ruiz, Gustavo R
Corrà, Ugo
Schmid, Jean-Paul
Greco, Eugenio
Davos, Constantinos H
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
Neunhäuserer, Daniel
Reibis, Rona
Spruit, Martijn A
Stettler, Christoph
Takken, Tim
Tonoli, Cajsa
Vigorito, Carlo
Völler, Heinz
Doherty, Patrick
… (more) - 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 conditionsBackground: 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. … (more)
- Is Part Of:
- European journal of preventive cardiology. Volume 24:Number 10(2017)
- Journal:
- European journal of preventive cardiology
- Issue:
- Volume 24:Number 10(2017)
- Issue Display:
- Volume 24, Issue 10 (2017)
- Year:
- 2017
- Volume:
- 24
- Issue:
- 10
- Issue Sort Value:
- 2017-0024-0010-0000
- Page Start:
- 1017
- Page End:
- 1031
- Publication Date:
- 2017-07
- Subjects:
- Cardiovascular disease -- rehabilitation -- exercise training -- training and decision support system
Cardiovascular system -- Diseases -- Prevention -- Periodicals
Cardiac patients -- Rehabilitation -- Periodicals
616.12 - Journal URLs:
- https://academic.oup.com/eurjpc/issue ↗
http://www.uk.sagepub.com/home.nav ↗
http://cpr.sagepub.com/ ↗ - DOI:
- 10.1177/2047487317702042 ↗
- Languages:
- English
- ISSNs:
- 2047-4873
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7666.xml