@misc{VigoritoAbreuAmbrosettietal.2017,
  author    = {Vigorito, Carlo and Abreu, Ana and Ambrosetti, Marco and Belardinelli, Romualdo and Corr{\`a}, Ugo and Cupples, Margaret and Davos, Constantinos H. and Hoefer, Stefan and Iliou, Marie-Christine and Schmid, Jean-Paul and V{\"o}ller, Heinz and Doherty, Patrick},
  title     = {Frailty and cardiac rehabilitation},
  series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  number    = {406},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-405172},
  pages     = {14},
  year      = {2017},
  abstract  = {Frailty is a geriatric syndrome characterised by a vulnerability status associated with declining function of multiple physiological systems and loss of physiological reserves. Two main models of frailty have been advanced: the phenotypic model (primary frailty) or deficits accumulation model (secondary frailty), and different instruments have been proposed and validated to measure frailty. However measured, frailty correlates to medical outcomes in the elderly, and has been shown to have prognostic value for patients in different clinical settings, such as in patients with coronary artery disease, after cardiac surgery or transvalvular aortic valve replacement, in patients with chronic heart failure or after left ventricular assist device implantation. The prevalence, clinical and prognostic relevance of frailty in a cardiac rehabilitation setting has not yet been well characterised, despite the increasing frequency of elderly patients in cardiac rehabilitation, where frailty is likely to influence the onset, type and intensity of the exercise training programme and the design of tailored rehabilitative interventions for these patients. Therefore, we need to start looking for frailty in elderly patients entering cardiac rehabilitation programmes and become more familiar with some of the tools to recognise and evaluate the severity of this condition. Furthermore, we need to better understand whether exercise-based cardiac rehabilitation may change the course and the prognosis of frailty in cardiovascular patients.},
  language  = {en}
}
@article{VigoritoAbreuAmbrosettietal.2017,
  author    = {Vigorito, Carlo and Abreu, Ana and Ambrosetti, Marco and Belardinelli, Romualdo and Corra, Ugo and Cupples, Margaret and Davos, Constantinos H. and Hoefer, Stefan and Iliou, Marie-Christine and Schmid, Jean-Paul and V{\"o}ller, Heinz and Doherty, Patrick},
  title     = {Frailty and cardiac rehabilitation: A call to action from the EAPC Cardiac Rehabilitation Section},
  series = {European journal of preventive cardiology : the official ESC journal for primary \& secondary cardiovascular prevention, rehabilitation and sports cardiology},
  volume    = {24},
  journal   = {European journal of preventive cardiology : the official ESC journal for primary \& secondary cardiovascular prevention, rehabilitation and sports cardiology},
  publisher = {Sage Publ.},
  address   = {London},
  issn      = {2047-4873},
  doi       = {10.1177/2047487316682579},
  pages     = {577 -- 590},
  year      = {2017},
  abstract  = {Frailty is a geriatric syndrome characterised by a vulnerability status associated with declining function of multiple physiological systems and loss of physiological reserves. Two main models of frailty have been advanced: the phenotypic model (primary frailty) or deficits accumulation model (secondary frailty), and different instruments have been proposed and validated to measure frailty. However measured, frailty correlates to medical outcomes in the elderly, and has been shown to have prognostic value for patients in different clinical settings, such as in patients with coronary artery disease, after cardiac surgery or transvalvular aortic valve replacement, in patients with chronic heart failure or after left ventricular assist device implantation. The prevalence, clinical and prognostic relevance of frailty in a cardiac rehabilitation setting has not yet been well characterised, despite the increasing frequency of elderly patients in cardiac rehabilitation, where frailty is likely to influence the onset, type and intensity of the exercise training programme and the design of tailored rehabilitative interventions for these patients. Therefore, we need to start looking for frailty in elderly patients entering cardiac rehabilitation programmes and become more familiar with some of the tools to recognise and evaluate the severity of this condition. Furthermore, we need to better understand whether exercise-based cardiac rehabilitation may change the course and the prognosis of frailty in cardiovascular patients.},
  language  = {en}
}
@article{HansenDendaleConinxetal.2017,
  author    = {Hansen, Dominique and Dendale, Paul and Coninx, Karin and Vanhees, Luc and Piepoli, Massimo F. and Niebauer, Josef and Cornelissen, Veronique and Pedretti, Roberto and Geurts, Eva and Ruiz, Gustavo R. and Corra, Ugo and Schmid, Jean-Paul and Greco, Eugenio and Davos, Constantinos H. and Edelmann, Frank and Abreu, Ana and Rauch, Bernhard and Ambrosetti, Marco and Braga, Simona S. and Barna, Olga and Beckers, Paul and Bussotti, Maurizio and Fagard, Robert and Faggiano, Pompilio and Garcia-Porrero, Esteban and Kouidi, Evangelia and Lamotte, Michel and Neunhaeuserer, Daniel and Reibis, Rona Katharina and Spruit, Martijn A. and Stettler, Christoph and Takken, Tim and Tonoli, Cajsa and Vigorito, Carlo and V{\"o}ller, Heinz and Doherty, Patrick},
  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},
  series = {European journal of preventive cardiology : the official ESC journal for primary \& secondary cardiovascular prevention, rehabilitation and sports cardiology},
  volume    = {24},
  journal   = {European journal of preventive cardiology : the official ESC journal for primary \& secondary cardiovascular prevention, rehabilitation and sports cardiology},
  publisher = {Sage Publ.},
  address   = {London},
  issn      = {2047-4873},
  doi       = {10.1177/2047487317702042},
  pages     = {1017 -- 1031},
  year      = {2017},
  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.},
  language  = {en}
}