TY - JOUR A1 - Hansen, Dominique A1 - Dendale, Paul A1 - Coninx, Karin A1 - Vanhees, Luc A1 - Piepoli, Massimo F. A1 - Niebauer, Josef A1 - Cornelissen, Veronique A1 - Pedretti, Roberto A1 - Geurts, Eva A1 - Ruiz, Gustavo R. A1 - Corra, Ugo A1 - Schmid, Jean-Paul A1 - Greco, Eugenio A1 - Davos, Constantinos H. A1 - Edelmann, Frank A1 - Abreu, Ana A1 - Rauch, Bernhard A1 - Ambrosetti, Marco A1 - Braga, Simona S. A1 - Barna, Olga A1 - Beckers, Paul A1 - Bussotti, Maurizio A1 - Fagard, Robert A1 - Faggiano, Pompilio A1 - Garcia-Porrero, Esteban A1 - Kouidi, Evangelia A1 - Lamotte, Michel A1 - Neunhaeuserer, Daniel A1 - Reibis, Rona Katharina A1 - Spruit, Martijn A. A1 - Stettler, Christoph A1 - Takken, Tim A1 - Tonoli, Cajsa A1 - Vigorito, Carlo A1 - Völler, Heinz A1 - Doherty, Patrick T1 - 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 JF - European journal of preventive cardiology : the official ESC journal for primary & secondary cardiovascular prevention, rehabilitation and sports cardiology N2 - 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. KW - Cardiovascular disease KW - rehabilitation KW - exercise training KW - training and decision support system Y1 - 2017 U6 - https://doi.org/10.1177/2047487317702042 SN - 2047-4873 SN - 2047-4881 VL - 24 SP - 1017 EP - 1031 PB - Sage Publ. CY - London ER - TY - JOUR A1 - Reibis, Rona Katharina A1 - Kühl, Uwe A1 - Salzwedel, Annett A1 - Rasawieh, Mortesa A1 - Eichler, Sarah A1 - Wegscheider, Karl A1 - Völler, Heinz T1 - Return to work in heart failure patients with suspected viral myocarditis JF - SAGE Open Medicine N2 - Background: Endomyocardial biopsy is considered as the gold standard in patients with suspected myocarditis. We aimed to evaluate the impact of bioptic findings on prediction of successful return to work. Methods: In 1153 patients (48.9 ± 12.4 years, 66.2% male), who were hospitalized due to symptoms of left heart failure between 2005 and 2012, an endomyocardial biopsy was performed. Routine clinical and laboratory data, sociodemographic parameters, and noninvasive and invasive cardiac variables including endomyocardial biopsy were registered. Data were linked with return to work data from the German statutory pension insurance program and analyzed by Cox regression. Results: A total of 220 patients had a complete data set of hospital and insurance information. Three quarters of patients were virus-positive (54.2% parvovirus B19, other or mixed infection 16.7%). Mean invasive left ventricular ejection fraction was 47.1% ± 18.6% (left ventricular ejection fraction <45% in 46.3%). Return to work was achieved after a mean interval of 168.8 ± 347.7 days in 220 patients (after 6, 12, and 24 months in 61.3%, 72.2%, and 76.4%). In multivariate regression analysis, only age (per 10 years, hazard ratio, 1.27; 95% confidence interval, 1.10–1.46; p = 0.001) and left ventricular ejection fraction (per 5% increase, hazard ratio, 1.07; 95% confidence interval, 1.03–1.12; p = 0.002) were associated with increased, elevated work intensity (heavy vs light, congestive heart failure, 0.58; 95% confidence interval, 0.34–0.99; p < 0.049) with decreased probability of return to work. None of the endomyocardial biopsy–derived parameters was significantly associated with return to work in the total group as well as in the subgroup of patients with biopsy-proven myocarditis. Conclusion: Added to established predictors, bioptic data demonstrated no additional impact for return to work probability. Thus, socio-medical evaluation of patients with suspected myocarditis furthermore remains an individually oriented process based primarily on clinical and functional parameters. KW - Return to work KW - rehabilitation KW - endomyocardial biopsy KW - prediction KW - myocarditis Y1 - 2017 U6 - https://doi.org/10.1177/2050312117744978 SN - 2050-3121 VL - 5 PB - Sage CY - Thousand Oaks, Calif. ER - TY - JOUR A1 - Haupt, T. A1 - Wolschke, M. A1 - Rabe, Sophie A1 - Scholz, I. A1 - Smurawski, A. A1 - Salzwedel, Annett A1 - Thomas, F. A1 - Reich, H. A1 - Völler, Heinz A1 - Liebach, J. A1 - Eichler, Sarah T1 - ReMove-It – Entwicklung einer telemedizinisch assistierten Bewegungstherapie für die Rehabilitation nach Intervention an der unteren Extremität T1 - ReMove-It - Development of telemedicine assisted Movement Therapy for Rehabilitation after lower Extremity Intervention JF - B&G Bewegungstherapie und Gesundheitssport N2 - Knie- und Hüftgelenksarthrose zählen zu den zehn häufigsten Einzeldiagnosen in orthopädischen Praxen. Die Wirksamkeit einer stationären Rehabilitation für Patienten nach Knie- oder Hüft-Totalendoprothese (TEP) ist in mehreren Studien belegt. Dennoch stellt die mittel- und langfristige Nachhaltigkeit zum Erhalt des Therapieerfolges eine große Herausforderung dar. Das Ziel des Projekts ReMove-It ist es, einen Wirksamkeitsnachweis für eintelemedizinisch assistiertes Interventionstraining für Patienten nach einem operativen Eingriff an den unteren Extremitäten zu erbringen. In dem Beitrag wird anhand von Erfahrungsberichten dargestellt, wie das interaktive Übungsprogramm für Knie- und Hüft-TEP-Patienten entwickelt und das telemedizinische Assistenzsystem MeineReha® in den Behandlungsalltag von drei Rehakliniken integriert wurde. Ebenso werden der Aufbau und Ablauf der klinischen Studie dargestellt und das System aus Sicht der beteiligten Ärzte, und Therapeuten bewertet. N2 - Knee and hip joint arthrosis are among the ten most common diagnoses in orthopedic clinics. The effectiveness of inpatient rehabilitation after a total knee or hip replacement has been documented by numerous studies. However, the mid-term and long-term sustainability of a therapeutic success poses a big challenge. The aim of the project ReMove-is to provide a proof of concept for telemedical assisted intervention training for patients after an operation to their lower extremities. This article, based on testimonies, describes how the interactive exercise program for total knee and hip replacement patients was developed and how the telemedical assistance system MeineReha (R) is integrated into the day-to-day treatment of rehabilitation clinics. Similarly, the composition and execution of the clinical study is described and the system evaluated from the view of doctors and therapists. KW - Computer-assisted home training KW - simplicity KW - patient-friendly operation system KW - direct feedback KW - motion analysis KW - communication KW - supervising therapist KW - rehabilitation KW - temporal and spatial independence (flexibility) KW - high self-motivation Y1 - 2017 U6 - https://doi.org/10.1055/s-0043-118139 SN - 1613-0863 SN - 1613-3269 VL - 33 IS - 5 SP - 221 EP - 226 PB - Thieme CY - Stuttgart ER -