Refine
Year of publication
Document Type
Is part of the Bibliography
- yes (106)
Keywords
- Cardiac rehabilitation (18)
- cardiac rehabilitation (15)
- rehabilitation (8)
- TAVI (7)
- Return to work (5)
- Telerehabilitation (5)
- coronary artery disease (5)
- mortality (5)
- Frailty (4)
- elderly (4)
Institute
- Department Sport- und Gesundheitswissenschaften (46)
- Strukturbereich Kognitionswissenschaften (26)
- Humanwissenschaftliche Fakultät (13)
- Department Psychologie (3)
- Extern (3)
- Fakultät für Gesundheitswissenschaften (3)
- Hochschulambulanz (2)
- Institut für Biochemie und Biologie (2)
- Institut für Ernährungswissenschaft (2)
- Gesundheitsmanagement (1)
Background: Melatonin exerts multiple biological effects with potential impact on human diseases. This is underscored by genetic studies that demonstrated associations between melatonin receptor type 2 gene (MTNR1B) polymorphisms and characteristics of type 2 diabetes. We set out to test the hypothesis whether genetic variants at MTNR1B are also relevant for other disease phenotypes within the cardiovascular continuum. We thus investigated single nucleotide polymorphisms (SNPs) of MTNR1B in relation to blood pressure (BP) and cardiac parameters in hypertensive patients.
Methods: Patients (n = 605, mean age 56.2 +/- 9.4 years, 82.3% male) with arterial hypertension and cardiac ejection fraction (EF) >= 40% were studied. Cardiac parameters were assessed by echocardiography.
Results: The cohort comprised subjects with coronary heart disease (73.1%) and myocardial infarction (48.1%) with a mean EF of 63.7 +/- 8.9%. Analysis of SNPs rs10830962, rs4753426, rs12804291, rs10830963, and rs3781638 revealed two haplotypes 1 and 2 with frequencies of 0.402 and 0.277, respectively. Carriers with haplotype 1 (CTCCC) showed compared to non-carriers a higher mean 24-hour systolic BP (difference BP: 2.4 mm Hg, 95% confidence interval (CI): 0.3 to 4.5 mm Hg, p = 0.023). Haplotype 2 (GCCGA) was significantly related to EF with an absolute increase of 1.8% (CI: 0.45 to 3.14%) in carriers versus non-carriers (p = 0.009).
Conclusion: Genetics of MTNR1B point to impact of the melatonin signalling pathway for BP and left ventricular function. This may support the importance of the melatonin system as a potential therapeutic target.
Zusammenfassung
Hintergrund: Patienten mit koronarer Herzkrankheit verfugen uber eine altersentsprechend reduzierte korperliche Leistungsfahigkeit. Um in Abhangigkeit bestehender Patientencharakteristika ein zielgruppenspezifisches Training wahrend kardiologischer Rehabilitation zu ermoglichen, ist die Kenntnis von Einflussgro ss en auf die Steigerung der Leistungsfahigkeit wunschenswert.
Methodik: In einem bundesweiten Register (TROL) wurden 47286 Patienten (mittleres Alter: 6411,62 Jahre; 74,5% Manner) eingeschlossen. Alle Patienten absolvierten zu Beginn und zum Ende der Rehabilitation einen fahrradergometrischen Belastungstest. Als abhangige Variable fur die univariate Analyse und die multivariate logistische Regression galt die Steigerung der Belastbarkeit, die uber einen Cut-off-Wert von 15 Watt Leistungszuwachs definiert wurde. Als Einflussfaktoren gingen Komorbiditaten und eine vor dem Index-Ereignis bestehende korperliche Aktivitat von>90Min/Woche in die Analyse ein.
Ergebnisse: Die Leistungssteigerung aktiver im Vergleich zu inaktiven Patienten war signifikant hoher (21,84 Watt vs. 16,35 Watt; p<0,001). Korperliche Aktivitat vor dem Ereignis (Odds Ratio - OR 1,85 [95% Konfidenzintervall - CI: 1,75-1,97]) sowie mannliches Geschlecht (OR 1,62 [95% CI: 1,51-1,74]) konnten als positive, Komorbiditaten und Alter (OR 0,82 [95% CI: 0,74-0,90]) als negative Pradiktoren identifiziert werden.
Schlussfolgerung: Zukunftig sollten in kardiologischen Rehabilitationseinrichtungen zielgruppenspezifische Trainingsprogramme eingesetzt werden, die die eingeschrankte Leistungsfahigkeit alterer und durch Komorbiditat limitierter Patienten berucksichtigt.
Abstract
Objective Patients who suffered from an acute coronary syndrome (ACS) boast a low exercise capacity (EC). To enhance EC is a core component of cardiac rehabilitation (CR). The aim of the study was to investigate predictors of exercise capacity to optimize the rehabilitation process in untrained subgroups.
Method: 47286 patients (mean age 6411.62, 74.5% male) were enclosed in the TROL registry. All patients underwent a bicycle stress test at admission and discharge. The dependent variable for the univariate analysis and multivariate logistic regression was the increase of EC during CR, with a cutoff of 15 Watts (pre/post design). Furthermore comorbidities and physical activity before the index event were analyzed.
Results: Exercise capacity enhancement differs between active and inactive patients significantly (21.84 Watt vs. 16.35 Watt; p<0.001). While a male gender (OR 1.62 [95% CI: 1.51-1.74]) and physical activity before rehabilitation (OR 1.85 [95% CI: 1.75-1.97]) were positive, comorbidities and age (OR 0.82 [95% CI: 0.74-0.90]) were negative predictors.
Conclusion: In cardiac rehabilitation settings special exercise training programs for elderly and comorbid patients are needed, to enhance their exercise capacity sufficiently.
Background Transcatheter aortic-valve implantation (TAVI) is an established alternative therapy in patients with severe aortic stenosis and a high surgical risk. Despite a rapid growth in its use, very few data exist about the efficacy of cardiac rehabilitation (CR) in these patients. We assessed the hypothesis that patients after TAVI benefit from CR, compared to patients after surgical aortic-valve replacement (sAVR).
Methods From September 2009 to August 2011, 442 consecutive patients after TAVI (n=76) or sAVR (n=366) were referred to a 3-week CR. Data regarding patient characteristics as well as changes of functional (6-min walk test. 6-MWT), bicycle exercise test), and emotional status (Hospital Anxiety and Depression Scale) were retrospectively evaluated and compared between groups after propensity score adjustment.
Results Patients after TAVI were significantly older (p<0.001), more female (p<0.001), and had more often coronary artery disease (p=0.027), renal failure (p=0.012) and a pacemaker (p=0.032). During CR, distance in 6-MWT (both groups p0.001) and exercise capacity (sAVR p0.001, TAVI p0.05) significantly increased in both groups. Only patients after sAVR demonstrated a significant reduction in anxiety and depression (p0.001). After propensity scores adjustment, changes were not significantly different between sAVR and TAVI, with the exception of 6-MWT (p=0.004).
Conclusions Patients after TAVI benefit from cardiac rehabilitation despite their older age and comorbidities. CR is a helpful tool to maintain independency for daily life activities and participation in socio-cultural life.
Aim To determine the prevalence of, and the risk factors for, sleep apnoea in cardiac rehabilitation (CR) facilities in Germany.
Methods 1152 patients presenting for CR were screened for sleep-disordered breathing with 2-channel polygraphy (ApneaLink; ResMed). Parameters recorded included the apnoea-hypopnoea index (AHI), number of desaturations per hour of recording (ODI), mean and minimum nocturnal oxygen saturation and number of snoring episodes. Patients rated subjective sleep quality on a scale from 1 (poor) to 10 (best) and completed the Epworth Sleepiness Scale (ESS).
Results Clinically significant sleep apnoea (AHI 15/h) was documented in 33% of patients. Mean AHI was 1416/h (range 0-106/h). Sleep apnoea was defined as being of moderate severity in 18% of patients (AHI 15-29/h) and severe in 15% (AHI 30/h). There were small, but statistically significant, differences in ESS score and subjective sleep quality between patients with and without sleep apnoea. Logistic regression model analysis identified the following as risk factors for sleep apnoea in CR patients: age (per 10 years) (odds ratio (OR) 1.51; p<0.001), body mass index (per 5 units) (OR 1.31; p=0.001), male gender (OR 2.19; p<0.001), type 2 diabetes mellitus (OR 1.45; p=0.040), haemoglobin level (OR 0.91; p=0.012) and witnessed apnoeas (OR 1.99; p<0.001).
Conclusions The findings of this study indicate that more than one-third of patients undergoing cardiac rehabilitation in Germany have sleep apnoea, with one-third having moderate-to-severe SDB that requires further evaluation or intervention. Inclusion of sleep apnoea screening as part of cardiac rehabilitation appears to be appropriate.
Background: Outcome quality management requires the consecutive registration of defined variables. The aim was to identify relevant parameters in order to objectively assess the in-patient rehabilitation outcome.
Methods: From February 2009 to June 2010 1253 patients (70.9 +/- 7.0 years, 78.1% men) at 12 rehabilitation clinics were enrolled. Items concerning sociodemographic data, the impairment group (surgery, conservative/interventional treatment), cardiovascular risk factors, structural and functional parameters and subjective health were tested in respect of their measurability, sensitivity to change and their propensity to be influenced by rehabilitation.
Results: The majority of patients (61.1%) were referred for rehabilitation after cardiac surgery, 38.9% after conservative or interventional treatment for an acute coronary syndrome. Functionally relevant comorbidities were seen in 49.2% (diabetes mellitus, stroke, peripheral artery disease, chronic obstructive lung disease). In three key areas 13 parameters were identified as being sensitive to change and subject to modification by rehabilitation: cardiovascular risk factors (blood pressure, low-density lipoprotein cholesterol, triglycerides), exercise capacity (resting heart rate, maximal exercise capacity, maximal walking distance, heart failure, angina pectoris) and subjective health (IRES-24 (indicators of rehabilitation status): pain, somatic health, psychological well-being and depression as well as anxiety on the Hospital Anxiety and Depression Scale).
Conclusion: The outcome of in-patient rehabilitation in elderly patients can be comprehensively assessed by the identification of appropriate key areas, that is, cardiovascular risk factors, exercise capacity and subjective health. This may well serve as a benchmark for internal and external quality management.
Introduction: Cardiac rehabilitation is designed for patients suffering from cardiovascular diseases or functional disabilities. The aim of a cardiac rehabilitation is to improve overall physical health, psychological well-being, physical function, the ability to participate in social life and help patients to change their habits. Regarding the heterogeneity of these aims measuring of the effect of cardiac rehabilitation is still a challenge. This study recommends a concept to assess the effects of cardiac rehabilitation regarding the individual change of relevant quality indicators.
Methods: With EVA-Reha; cardiac rehabilitation the Medical Advisory Service of Statutory Health Insurance Funds in Rhineland-Palatinate, Alzey (MDK Rheinland-Pfalz) developed a software to collect data set including sociodemographic and diagnostic data and also the results of specific assessments. The project was funded by the Techniker Krankenkasse, Hamburg, and supported by participating rehabilitation centers. From 01. July 2010 to 30. June 2011 1309 patients (age 71.5 years, 76.1% men) from 13 rehabilitation centers were consecutively enrolled. 13 quality indicators in 3 scales were developed for evaluation of cardiac rehabilitation: 1) cardiovascular risk factors (blood pressure, LDL cholesterol, triglycerides), 2) exercise capacity (resting heart rate, maximal exercise capacity, maximal walking distance, heart failure [NYHA classification], and angina pectoris [CCS classification]) and 3) subjective health (IRES-24: pain, somatic health, psychological wellbeing and depression as well as anxiety on the HADS). The study was prospective; data of patients were assessed at entry and discharge of rehabilitation. To measure the success of rehabilitation each parameter was graded in severity classes at entry and discharge. For each of the 13 quality indicators changes of severity class were rated in a rating matrix. For indicators without a requirement for medical care neither at entry nor at discharge no rating was performed.
Results: The grading into severity classes as well as the minimal important differences were given for the 13 quality indicators. The result of rehabilitation can be demonstrated in suitable form by means of rating of the 13 quality indicators according to a clinical population. The rating model differs well between clinically changed and unchanged patients for the quality indicators.
Conclusion: The result of cardiac rehabilitation can be assessed with 13 quality indicators measured at entry and discharge of the rehabilitation program. If a change into a more favorable category at the end of rehabilitation could be achieved it was counted as a success. The 13 quality indicators can be used to assess the individual result as well as the result of a population - e.g. all patients of a clinic in a specific time period. In addition, the assessment and rating of relevant quality indicators can be used for comparisons of rehabilitation centers.
Background Cardiac rehabilitation (CR) seeks to simultaneously improve several outcome parameters related to patient risk factors, exercise capacity and subjective health. A single score, the multiple outcome criterion (MOC), comprised of alterations in 13 outcome variables was used to measure the overall success of CR in an older population. As this success depends on the older patient's characteristics at the time of admission to CR, we attempted to determine the most important influences.
Methods The impact of baseline characteristics on the success of CR, measured by MOC, was analysed using a mixed model for 1,220 older patients (70.9 +/- A 7.0 years, 78.3 % men) who enrolled in 12 CR clinics. A multitude of potentially influential baseline patient characteristics was considered including sociodemographic variables, comorbidity, duration of hospital stay, exercise capacity, cardiovascular risk factors, emotional status, and laboratory and echocardiographic data.
Results Overall, CR was successful, as indicated by the mean value of the MOC (0.6 +/- A 0.45; min -1.0, max 2.0; positive values denoting improvement, negative ones deterioration). Examples of association with negative MOC values included smoking (MOC -0.15, p < 0.001), female gender (MOC -0.07, p = 0.049), and a longer hospital stay (MOC -0.03, p = 0.03). An example of association with positive MOC value was depression score (MOC 0.06, p = 0.003). Further associations included maximal exercise capacity, blood pressure, heart rate and the rehabilitation centre attended.
Conclusion Our results emphasize the necessity to take into consideration baseline characteristics when evaluating the success of CR and setting treatment targets for older patients.
