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April 18, 2017European Journal of Preventive Cardiology192 citationsOpen Access

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

DHDominique HansenPDPaul DendaleKCKarin Coninx

Key Result

The EXPERT tool was developed to automatically provide exercise prescriptions for 10 cardiovascular diseases, 5 risk factors, and 3 non-cardiovascular conditions based on patient variables.

Structured PICO

P
Population
Patients with cardiovascular disease, cardiovascular disease risk factors (type 1 and 2 diabetes, obesity, hypertension, hypercholesterolaemia), and chronic non-cardiovascular conditions (lung and renal failure, sarcopaenia)
I
Intervention
European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool
O
Outcome
Development of an algorithm and interactive tool for exercise prescription

The EXPERT tool is a digital decision support system designed to help clinicians optimize and individualize exercise prescriptions for patients with cardiovascular diseases and comorbidities.

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.

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Cite This Study

Hansen et al. (2017) studied Cardiovascular disease. EXPERT tool was evaluated on Development of exercise training recommendations and safety advices. The EXPERT tool was developed to automatically provide exercise prescriptions for 10 cardiovascular diseases, 5 risk factors, and 3 non-cardiovascular conditions based on patient variables.

synapsesocial.com/papers/6a62b78ffe5b6bd6fe96beb9https://doi.org/10.1177/2047487317702042
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