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There is evidence of substantial benefit of cardiac rehabilitation (CR) for patients with low exercise capacity at admission. Nevertheless, some patients are not able to perform an initial exercise stress test (EST). We aimed to describe this group using data of 1094 consecutive patients after a cardiac event (71 +/- 7 years, 78% men) enrolled in nine centres for inpatient CR. We analysed sociodemographic and clinical variables (e.g. cardiovascular risk factors, comorbidities, complications at admission), amount of therapy (e.g. exercise training, nursing care) and the results of the initial and the final 6-min walking test (6MWT) with respect to the application of an EST. Fifteen per cent of patients did not undergo an EST (non-EST group). In multivariable analysis, the probability of obtaining an EST was higher for men [odds ratio (OR) 1.89, P=0.01], a 6MWT (per 10 m, OR 1.07, P<0.01) and lower for patients with diabetes mellitus (OR 0.48, P<0.01), NYHA-class III/IV (OR 0.27, P<0.01), osteoarthritis (OR 0.39, P<0.01) and a longer hospital stay (per 5 days, OR 0.87, P=0.02). The non-EST group received fewer therapy units of exercise training, but more units of nursing care and physiotherapy than the EST group. However, there were no significant differences between both groups in the increase of the 6MWT during CR (123 vs. 108 m, P=0.122). The present study confirms the feasibility of an EST at the start of CR as an indicator of disease severity. Nevertheless, patients without EST benefit from CR even if exercising less. Thus, there is a justified need for individualized, comprehensive and interdisciplinary CR.
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: 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.
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.
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.
Introduction: Adequate cognitive function in patients is a prerequisite for successful implementation of patient education and lifestyle coping in comprehensive cardiac rehabilitation (CR) programs. Although the association between cardiovascular diseases and cognitive impairments (CIs) is well known, the prevalence particularly of mild CI in CR and the characteristics of affected patients have been insufficiently investigated so far.
Methods: In this prospective observational study, 496 patients (54.5 ± 6.2 years, 79.8% men) with coronary artery disease following an acute coronary event (ACE) were analyzed. Patients were enrolled within 14 days of discharge from the hospital in a 3-week inpatient CR program. Patients were tested for CI using the Montreal Cognitive Assessment (MoCA) upon admission to and discharge from CR. Additionally, sociodemographic, clinical, and physiological variables were documented. The data were analyzed descriptively and in a multivariate stepwise backward elimination regression model with respect to CI.
Results: At admission to CR, the CI (MoCA score < 26) was determined in 182 patients (36.7%). Significant differences between CI and no CI groups were identified, and CI group was associated with high prevalence of smoking (65.9 vs 56.7%, P = 0.046), heavy (physically demanding) workloads (26.4 vs 17.8%, P < 0.001), sick leave longer than 1 month prior to CR (28.6 vs 18.5%, P = 0.026), reduced exercise capacity (102.5 vs 118.8 W, P = 0.006), and a shorter 6-min walking distance (401.7 vs 421.3 m, P = 0.021) compared to no CI group. The age- and education-adjusted model showed positive associations with CI only for sick leave more than 1 month prior to ACE (odds ratio [OR] 1.673, 95% confidence interval 1.07–2.79; P = 0.03) and heavy workloads (OR 2.18, 95% confidence interval 1.42–3.36; P < 0.01).
Conclusion: The prevalence of CI in CR was considerably high, affecting more than one-third of cardiac patients. Besides age and education level, CI was associated with heavy workloads and a longer sick leave before ACE.
Introduction: Adequate cognitive function in patients is a prerequisite for successful implementation of patient education and lifestyle coping in comprehensive cardiac rehabilitation (CR) programs. Although the association between cardiovascular diseases and cognitive impairments (CIs) is well known, the prevalence particularly of mild CI in CR and the characteristics of affected patients have been insufficiently investigated so far.
Methods: In this prospective observational study, 496 patients (54.5 ± 6.2 years, 79.8% men) with coronary artery disease following an acute coronary event (ACE) were analyzed. Patients were enrolled within 14 days of discharge from the hospital in a 3-week inpatient CR program. Patients were tested for CI using the Montreal Cognitive Assessment (MoCA) upon admission to and discharge from CR. Additionally, sociodemographic, clinical, and physiological variables were documented. The data were analyzed descriptively and in a multivariate stepwise backward elimination regression model with respect to CI.
Results: At admission to CR, the CI (MoCA score < 26) was determined in 182 patients (36.7%). Significant differences between CI and no CI groups were identified, and CI group was associated with high prevalence of smoking (65.9 vs 56.7%, P = 0.046), heavy (physically demanding) workloads (26.4 vs 17.8%, P < 0.001), sick leave longer than 1 month prior to CR (28.6 vs 18.5%, P = 0.026), reduced exercise capacity (102.5 vs 118.8 W, P = 0.006), and a shorter 6-min walking distance (401.7 vs 421.3 m, P = 0.021) compared to no CI group. The age- and education-adjusted model showed positive associations with CI only for sick leave more than 1 month prior to ACE (odds ratio [OR] 1.673, 95% confidence interval 1.07–2.79; P = 0.03) and heavy workloads (OR 2.18, 95% confidence interval 1.42–3.36; P < 0.01).
Conclusion: The prevalence of CI in CR was considerably high, affecting more than one-third of cardiac patients. Besides age and education level, CI was associated with heavy workloads and a longer sick leave before ACE.