@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{EichlerVoellerReibisetal.2020, author = {Eichler, Sarah and V{\"o}ller, Heinz and Reibis, Rona Katharina and Wegscheider, Karl and Butter, Christian and Harnath, Axel and Salzwedel, Annett}, title = {Geriatric or cardiac rehabilitation?}, series = {BMC Cardiovascular Disorders}, volume = {20}, journal = {BMC Cardiovascular Disorders}, publisher = {BioMed Central}, address = {London}, issn = {1471-2261}, doi = {10.1186/s12872-020-01452-x}, pages = {9}, year = {2020}, abstract = {Background Aim of the study was to find predictors of allocating patients after transcatheter aortic valve implantation (TAVI) to geriatric (GR) or cardiac rehabilitation (CR) and describe this new patient group based on a differentiated characterization. Methods From 10/2013 to 07/2015, 344 patients with an elective TAVI were consecutively enrolled in this prospective multicentric cohort study. Before intervention, sociodemographic parameters, echocardiographic data, comorbidities, 6-min walk distance (6MWD), quality of life and frailty (score indexing activities of daily living [ADL], cognition, nutrition and mobility) were documented. Out of these, predictors for assignment to CR or GR after TAVI were identified using a multivariable regression model. Results After TAVI, 249 patients (80.7 ± 5.1 years, 59.0\% female) underwent CR (n = 198) or GR (n = 51). GR patients were older, less physically active and more often had a level of care, peripheral artery disease as well as a lower left ventricular ejection fraction. The groups also varied in 6MWD. Furthermore, individual components of frailty revealed prognostic impact: higher values in instrumental ADL reduced the probability for referral to GR (OR:0.49, p <  0.001), while an impaired mobility was positively associated with referral to GR (OR:3.97, p = 0.046). Clinical parameters like stroke (OR:0.19 of GR, p = 0.038) and the EuroSCORE (OR:1.04 of GR, p = 0.026) were also predictive. Conclusion Advanced age patients after TAVI referred to CR or GR differ in several parameters and seem to be different patient groups with specific needs, e.g. regarding activities of daily living and mobility. Thus, our data prove the eligibility of both CR and GR settings.}, language = {en} } @article{EichlerSalzwedelHarnathetal.2018, author = {Eichler, Sarah and Salzwedel, Annett and Harnath, Axel and Butter, Christian and Wegscheider, Karl and Chiorean, Mihai and V{\"o}ller, Heinz and Reibis, Rona Katharina}, title = {Nutrition and mobility predict all-cause mortality in patients 12 months after transcatheter aortic valve implantation}, series = {Clinical research in cardiology : official journal of the German Cardiac Society.}, volume = {107}, journal = {Clinical research in cardiology : official journal of the German Cardiac Society.}, number = {4}, publisher = {Springer}, address = {Heidelberg}, issn = {1861-0684}, doi = {10.1007/s00392-017-1183-1}, pages = {304 -- 311}, year = {2018}, abstract = {The aim of the study was to determine pre-interventional predictors for all-cause mortality in patients after transcatheter aortic valve implantation (TAVI) with a 12-month follow-up. From 10/2013 to 07/2015, 344 patients (80.9 +/- 5.0 years, 44.5\% male) with an elective TAVI were consecutively enrolled prospectively in a multicentre cohort study. Prior to the intervention, sociodemographic parameters, echocardiographic data and comorbidities were documented. All patients performed a 6-min walk test, Short Form 12 and a Frailty Index (score consisting of activities of daily living, cognition, nutrition and mobility). Peri-interventional complications were documented. Vital status was assessed over telephone 12 months after TAVI. Predictors for all-cause mortality were identified using a multivariate regression model. At discharge, 333 patients were alive (in-hospital mortality 3.2\%; n = 11). During a follow-up of 381.0 +/- 41.9 days, 46 patients (13.8\%) died. The non-survivors were older (82.3 +/- 5.0 vs. 80.6 +/- 5.1 years; p = 0.035), had a higher number of comorbidities (2.6 +/- 1.3 vs. 2.1 +/- 1.3; p = 0.026) and a lower left ventricular ejection fraction (51.0 +/- 13.6 vs. 54.6 +/- 10.6\%; p = 0.048). Additionally, more suffered from diabetes mellitus (60.9 vs. 44.6\%; p = 0.040). While the global Frailty Index had no predictive power, its individual components, particularly nutrition (OR 0.83 per 1 pt., CI 0.72-0.95; p = 0.006) and mobility (OR 5.12, CI 1.64-16.01; p = 0.005) had a prognostic impact. Likewise, diabetes mellitus (OR 2.18, CI 1.10-4.32; p = 0.026) and EuroSCORE (OR 1.21 per 5\%, CI 1.07-1.36; p = 0.002) were associated with a higher risk of all-cause mortality. Besides EuroSCORE and diabetes mellitus, nutrition status and mobility of patients scheduled for TAVI offer prognostic information for 1-year all-cause mortality and should be advocated in the creation of contemporary TAVI risk scores.}, language = {en} }