Browsing by Author "Schmid, JP"
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- European Heart Rhythm Association (EHRA)/European Association of Cardiovascular Prevention and Rehabilitation (EACPR) Position Paper on How to Prevent Atrial Fibrillation Endorsed by the Heart Rhythm Society (HRS) and Asia Pacific Heart Rhythm Society (APHRS)Publication . Gorenek, B; Pelliccia, A; Benjamin, EJ; Boriani, G; Crijns, HJ; Fogel, RI; Van Gelder, IC; Halle, M; Kudaiberdieva, G; Lane, DA; Larsen, TB; Lip, GY; Løchen, ML; Marín, F; Niebauer, J; Sanders, P; Tokgozoglu, L; Vos, MA; Van Wagoner, DR; Fauchier, L; Savelieva, I; Goette, A; Agewall, S; Chiang, CE; Figueiredo, M; Stiles, M; Dickfeld, T; Patton, K; Piepoli, M; Corra, U; Marques-Vidal, PM; Faggiano, P; Schmid, JP; Abreu, A
- Exercise-Based Cardiac Rehabilitation in Twelve European Countries Results of the European Cardiac Rehabilitation RegistryPublication . Benzer, W; Rauch, B; Schmid, JP; Zwisler, A; Dendale, P; Davos, C; Koudi, E; Simon, A; Abreu, A; Pogosova, N; Gaita, D; Miletic, B; Bönner, G; Ouarrak, T; McGee, HAIM: Results from EuroCaReD study should serve as a benchmark to improve guideline adherence and treatment quality of cardiac rehabilitation (CR) in Europe. METHODS AND RESULTS: Data from 2.054 CR patients in 12 European countries were derived from 69 centres. 76% were male. Indication for CR differed between countries being predominantly ACS in Switzerland (79%), Portugal (62%) and Germany (61%), elective PCI in Greece (37%), Austria (36%) and Spain (32%), and CABG in Croatia and Russia (36%). A minority of patients presented with chronic heart failure (4%). At CR start, most patients already were under medication according to current guidelines for the treatment of CV risk factors. A wide range of CR programme designs was found (duration 3 to 24weeks; total number of sessions 30 to 196). Patient programme adherence after admission was high (85%). With reservations that eCRF follow-up data exchange remained incomplete, patient CV risk profiles experienced only small improvements. CR success as defined by an increase of exercise capacity >25W was significantly higher in young patients and those who were employed. Results differed by countries. After CR only 9% of patients were admitted to a structured post-CR programme. CONCLUSIONS: Clinical characteristics of CR patients, indications and programmes in Europe are different. Guideline adherence is poor. Thus, patient selection and CR programme designs should become more evidence-based. Routine eCRF documentation of CR results throughout European countries was not sufficient in its first application because of incomplete data exchange. Therefore better adherence of CR centres to minimal routine clinical standards is requested.
- Frailty and Cardiac Rehabilitation: a Call to Action from the EAPC Cardiac Rehabilitation SectionPublication . Vigorito, C; Abreu, A; Ambrosetti, M; Belardinelli, R; Corrà, U; Cupples, M; Davos, C; Hoefer, S; Iliou, MC; Schmid, JP; Voeller, H; Doherty, PFrailty 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.
- 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 MethodologyPublication . Hansen, D; Dendale, P; Coninx, K; Vanhees, L; Piepoli, M; Niebauer, J; Cornelissen, V; Pedretti, R; Geurts, E; Ruiz, G; Corrà, U; Schmid, JP; Greco, E; Davos, C; Edelmann, F; Abreu, A; Rauch, B; Ambrosetti, M; Braga, S; Barna, O; Beckers, P; Bussotti, M; Fagard, R; Faggiano, P; Garcia-Porrero, E; Kouidi, E; Lamotte, M; Neunhäuserer, D; Reibis, R; Spruit, M; Stettler, C; Takken, T; Tonoli, C; Vigorito, C; Völler, H; Doherty, PBackground 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.