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Institute
- Strukturbereich Kognitionswissenschaften (26) (remove)
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.
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: Travel-related conditions have impact on the quality of oral anticoagulation therapy (OAT) with vitamin K-antagonists. No predictors for travel activity and for travel-associated haemorrhage or thromboembolic complications of patients on OAT are known.
Methods: A standardised questionnaire was sent to 2500 patients on long-term OAT in Austria, Switzerland and Germany. 997 questionnaires were received (responder rate 39.9%). Ordinal or logistic regression models with travel activity before and after onset of OAT or travel-associated haemorrhages and thromboembolic complications as outcome measures were applied.
Results: 43.4% changed travel habits since onset of OAT with 24.9% and 18.5% reporting decreased or increased travel activity, respectively. Long-distance worldwide before OAT or having suffered from thromboembolic complications was associated with reduced travel activity. Increased travel activity was associated with more intensive travel experience, increased duration of OAT, higher education, or performing patient self-management (PSM). Travel-associated haemorrhages or thromboennbolic complications were reported by 6.5% and 0.9% of the patients, respectively. Former thromboennbolic complications, former bleedings and PSM were significant predictors of travel-associated complications.
Conclusions: OAT also increases travel intensity. Specific medical advice prior travelling to prevent complications should be given especially to patients with former bleedings or thromboennbolic complications and to those performing PSM. (C) 2014 Elsevier Ltd. All rights reserved.
Background: Chronic kidney disease (CKD) is a frequent comorbidity among elderly patients and those with cardiovascular disease. CKD carries prognostic relevance. We aimed to describe patient characteristics, risk factor management and control status of patients in cardiac rehabilitation (CR), differentiated by presence or absence of CKD.
Design and methods: Data from 92,071 inpatients with adequate information to calculate glomerular filtration rate (GFR) based on the Cockcroft-Gault formula were analyzed at the beginning and the end of a 3-week CR stay. CKD was defined as estimated GFR <60 ml/min/1.73 m(2).
Results: Compared with non-CKD patients, CKD patients were significantly older (72.0 versus 58.0 years) and more often had diabetes mellitus, arterial hypertension, and atherothrombotic manifestations (previous stroke, peripheral arterial disease), but fewer were current or previous smokers had a CHD family history. Exercise capacity was much lower in CKD (59 vs. 92Watts). Fewer patients with CKD were treated with percutaneous coronary intervention (PCI), but more had coronary artery bypass graft (CABG) surgery. Patients with CKD compared with non-CKD less frequently received statins, acetylsalicylic acid (ASA), clopidogrel, beta blockers, and angiotensin converting enzyme (ACE) inhibitors, and more frequently received angiotensin receptor blockers, insulin and oral anticoagulants. In CKD, mean low density lipoprotein cholesterol (LDL-C), total cholesterol, and high density lipoprotein cholesterol (HDL-C) were slightly higher at baseline, while triglycerides were substantially lower. This lipid pattern did not change at the discharge visit, but overall control rates for all described parameters (with the exception of HDL-C) were improved substantially. At discharge, systolic blood pressure (BP) was higher in CKD (124 versus 121 mmHg) and diastolic BP was lower (72 versus 74 mmHg). At discharge, 68.7% of CKD versus 71.9% of non-CKD patients had LDL-C <100 mg/dl. Physical fitness on exercise testing improved substantially in both groups. When the Modification of Diet in Renal Disease (MDRD) formula was used for CKD classification, there was no clinically relevant change in these results.
Conclusion: Within a short period of 3-4 weeks, CR led to substantial improvements in key risk factors such as lipid profile, blood pressure, and physical fitness for all patients, even if CKD was present.
Computer aided dosage management of phenprocoumon anticoagulation therapy Clinical validation
(2014)
A recently developed multiparameter computer-aided expert system (TheMa) for guiding anticoagulation with phenprocoumon (PPC) was validated by a prospective investigation in 22 patients. The PPC-INR-response curve resulting from physician guided dosage was compared to INR values calculated by "twin calculation" from TheMa recommended dosage. Additionally, TheMa was used to predict the optimal time to perform surgery or invasive procedures after interruption of anticogulation therapy. Results: Comparison of physician and TheMa guided anticoagulation showed almost identical accuracy by three quantitative measures: Polygon integration method (area around INR target) 616.17 vs. 607.86, INR hits in the target range 166 vs. 161, and TTR (time in therapeutic range) 63.91 vs. 62.40 %. After discontinuation of anticoagulation therapy, calculating the INR phase-out curve with TheMa INR prognosis of 1.8 was possible with a standard deviation of 0.50 +/- 0.59 days. Conclusion: Guiding anticoagulation with TheMa was as accurate as Physician guided therapy. After interruption of anticoagulant therapy, TheMa may be used for calculating the optimal time performing operations or initiating bridging therapy.
Objective. We evaluated the long-term effect of a smoking intervention embedded in an adherence program in patients with an increased risk for cardiovascular disease.
Method. Secondary analysis of a randomized controlled trial: In 2002-2004,8108 patients with hypercholesterolemia were enrolled from general practices in Germany. Patients received a 12-month adherence program and statin medication (intervention) or statin medication only (control). The program aimed to improve adherence to medication and lifestyle by educational material, mailings, and phone calls. Smoking was self-reported at baseline and every 6 months during the 3-year follow-up.
Results. In total, 7640 patients were analyzed. At baseline, smoking prevalence was 21.7% in the intervention and 21.5% in the control group. Prevalence decreased in both groups to 16.6% vs. 19.5%, 153% vs. 16.8%, and 14.2% vs. 15.6% at the 12-, 24-, and 36-month follow-up. The intervention had a beneficial effect on smoking differing over time (group x time: P = 0.005). The effect was largest after 6 and 12 months [odds ratios (95% confidence intervals): 0.67 (0.54-0.82) and 0.63 (0.51-0.78)]. The effect decreased until the 18-month follow-up [0.72 (0.58-0.90)] and was not significant after 24 months.
Conclusion. A low-intensity smoking intervention embedded in an adherence program can contribute to smoking cessation although the intervention effect diminished over time. (C) 2015 Elsevier Inc. All rights reserved.