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Risk factors for, and prevalence of, sleep apnoea in cardiac rehabilitation facilities in Germany
(2015)
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.
Cytochrome P450 17A1 (CYP17A1) catalyses the formation and metabolism of steroid hormones. They are involved in blood pressure (BP) regulation and in the pathogenesis of left ventricular hypertrophy. Therefore, altered function of CYP17A1 due to genetic variants may influence BP and left ventricular mass. Notably, genome wide association studies supported the role of this enzyme in BP control. Against this background, we investigated associations between single nucleotide polymorphisms (SNPs) in or nearby the CYP17A1 gene with BP and left ventricular mass in patients with arterial hypertension and associated cardiovascular organ damage treated according to guidelines. Patients (n = 1007, mean age 58.0 ± 9.8 years, 83% men) with arterial hypertension and cardiac left ventricular ejection fraction (LVEF) ≥40% were enrolled in the study. Cardiac parameters of left ventricular mass, geometry and function were determined by echocardiography. The cohort comprised patients with coronary heart disease (n = 823; 81.7%) and myocardial infarction (n = 545; 54.1%) with a mean LVEF of 59.9% ± 9.3%. The mean left ventricular mass index (LVMI) was 52.1 ± 21.2 g/m2.7 and 485 (48.2%) patients had left ventricular hypertrophy. There was no significant association of any investigated SNP (rs619824, rs743572, rs1004467, rs11191548, rs17115100) with mean 24 h systolic or diastolic BP. However, carriers of the rs11191548 C allele demonstrated a 7% increase in LVMI (95% CI: 1%–12%, p = 0.017) compared to non-carriers. The CYP17A1 polymorphism rs11191548 demonstrated a significant association with LVMI in patients with arterial hypertension and preserved LVEF. Thus, CYP17A1 may contribute to cardiac hypertrophy in this clinical condition.
Background: Telerehabilitation can contribute to the maintenance of successful rehabilitation regardless of location and time. The aim of this study was to investigate a specific three-month interactive telerehabilitation routine regarding its effectiveness in assisting patients with physical functionality and with returning to work compared to typical aftercare.
Objective: The aim of the study was to investigate a specific three-month interactive telerehabilitation with regard to effectiveness in functioning and return to work compared to usual aftercare.
Methods: From August 2016 to December 2017, 111 patients (mean 54.9 years old; SD 6.8; 54.3% female) with hip or knee replacement were enrolled in the randomized controlled trial. At discharge from inpatient rehabilitation and after three months, their distance in the 6-minute walk test was assessed as the primary endpoint. Other functional parameters, including health related quality of life, pain, and time to return to work, were secondary endpoints.
Results: Patients in the intervention group performed telerehabilitation for an average of 55.0 minutes (SD 9.2) per week. Adherence was high, at over 75%, until the 7th week of the three-month intervention phase. Almost all the patients and therapists used the communication options. Both the intervention group (average difference 88.3 m; SD 57.7; P=.95) and the control group (average difference 79.6 m; SD 48.7; P=.95) increased their distance in the 6-minute-walk-test. Improvements in other functional parameters, as well as in quality of life and pain, were achieved in both groups. The higher proportion of working patients in the intervention group (64.6%; P=.01) versus the control group (46.2%) is of note.
Conclusions: The effect of the investigated telerehabilitation therapy in patients following knee or hip replacement was equivalent to the usual aftercare in terms of functional testing, quality of life, and pain. Since a significantly higher return-to-work rate could be achieved, this therapy might be a promising supplement to established aftercare.
Background: Telerehabilitation can contribute to the maintenance of successful rehabilitation regardless of location and time. The aim of this study was to investigate a specific three-month interactive telerehabilitation routine regarding its effectiveness in assisting patients with physical functionality and with returning to work compared to typical aftercare.
Objective: The aim of the study was to investigate a specific three-month interactive telerehabilitation with regard to effectiveness in functioning and return to work compared to usual aftercare.
Methods: From August 2016 to December 2017, 111 patients (mean 54.9 years old; SD 6.8; 54.3% female) with hip or knee replacement were enrolled in the randomized controlled trial. At discharge from inpatient rehabilitation and after three months, their distance in the 6-minute walk test was assessed as the primary endpoint. Other functional parameters, including health related quality of life, pain, and time to return to work, were secondary endpoints.
Results: Patients in the intervention group performed telerehabilitation for an average of 55.0 minutes (SD 9.2) per week. Adherence was high, at over 75%, until the 7th week of the three-month intervention phase. Almost all the patients and therapists used the communication options. Both the intervention group (average difference 88.3 m; SD 57.7; P=.95) and the control group (average difference 79.6 m; SD 48.7; P=.95) increased their distance in the 6-minute-walk-test. Improvements in other functional parameters, as well as in quality of life and pain, were achieved in both groups. The higher proportion of working patients in the intervention group (64.6%; P=.01) versus the control group (46.2%) is of note.
Conclusions: The effect of the investigated telerehabilitation therapy in patients following knee or hip replacement was equivalent to the usual aftercare in terms of functional testing, quality of life, and pain. Since a significantly higher return-to-work rate could be achieved, this therapy might be a promising supplement to established aftercare.
Objective: We aimed to characterize patients after an acute cardiac event regarding their negative expectations around returning to work and the impact on work capacity upon discharge from cardiac rehabilitation (CR).
Methods: We analyzed routine data of 884 patients (52±7 years, 76% men) who attended 3 weeks of inpatient CR after an acute coronary syndrome (ACS) or cardiac surgery between October 2013 and March 2015. The primary outcome was their status determining their capacity to work (fit vs unfit) at discharge from CR. Further, sociodemographic data (eg, age, sex, and education level), diagnoses, functional data (eg, exercise stress test and 6-min walking test [6MWT]), the Hospital Anxiety and Depression Scale (HADS) and self-assessment of the occupational prognosis (negative expectations and/or unemployment, Würzburger screening) at admission to CR were considered.
Results: A negative occupational prognosis was detected in 384 patients (43%). Out of these, 368 (96%) expected not to return to work after CR and/or were unemployed before CR at 29% (n=113). Affected patients showed a reduced exercise capacity (bicycle stress test: 100 W vs 118 W, P<0.01; 6MWT: 380 m vs 421 m, P<0.01) and were more likely to receive a depression diagnosis (12% vs 3%, P<0.01), as well as higher levels on the HADS. At discharge from CR, 21% of this group (n=81) were fit for work (vs 35% of patients with a normal occupational prognosis (n=175, P<0.01)). Sick leave before the cardiac event (OR 0.4, 95% CI 0.2–0.6, P<0.01), negative occupational expectations (OR 0.4, 95% CI 0.3–0.7, P<0.01) and depression (OR 0.3, 95% CI 0.1–0.8, P=0.01) reduced the likelihood of achieving work capacity upon discharge. In contrast, higher exercise capacity was positively associated.
Conclusion: Patients with a negative occupational prognosis often revealed a reduced physical performance and suffered from a high psychosocial burden. In addition, patients’ occupational expectations were a predictor of work capacity at discharge from CR. Affected patients should be identified at admission to allow for targeted psychosocial care.
Objective: We aimed to characterize patients after an acute cardiac event regarding their negative expectations around returning to work and the impact on work capacity upon discharge from cardiac rehabilitation (CR).
Methods: We analyzed routine data of 884 patients (52±7 years, 76% men) who attended 3 weeks of inpatient CR after an acute coronary syndrome (ACS) or cardiac surgery between October 2013 and March 2015. The primary outcome was their status determining their capacity to work (fit vs unfit) at discharge from CR. Further, sociodemographic data (eg, age, sex, and education level), diagnoses, functional data (eg, exercise stress test and 6-min walking test [6MWT]), the Hospital Anxiety and Depression Scale (HADS) and self-assessment of the occupational prognosis (negative expectations and/or unemployment, Würzburger screening) at admission to CR were considered.
Results: A negative occupational prognosis was detected in 384 patients (43%). Out of these, 368 (96%) expected not to return to work after CR and/or were unemployed before CR at 29% (n=113). Affected patients showed a reduced exercise capacity (bicycle stress test: 100 W vs 118 W, P<0.01; 6MWT: 380 m vs 421 m, P<0.01) and were more likely to receive a depression diagnosis (12% vs 3%, P<0.01), as well as higher levels on the HADS. At discharge from CR, 21% of this group (n=81) were fit for work (vs 35% of patients with a normal occupational prognosis (n=175, P<0.01)). Sick leave before the cardiac event (OR 0.4, 95% CI 0.2–0.6, P<0.01), negative occupational expectations (OR 0.4, 95% CI 0.3–0.7, P<0.01) and depression (OR 0.3, 95% CI 0.1–0.8, P=0.01) reduced the likelihood of achieving work capacity upon discharge. In contrast, higher exercise capacity was positively associated.
Conclusion: Patients with a negative occupational prognosis often revealed a reduced physical performance and suffered from a high psychosocial burden. In addition, patients’ occupational expectations were a predictor of work capacity at discharge from CR. Affected patients should be identified at admission to allow for targeted psychosocial care.
Background Uptake of self-testing and self-management of oral coagulation has remained inconsistent, despite good evidence of their effectiveness. To clarify the value of self-monitoring of oral anticoagulation, we did a meta-analysis of individual patient data addressing several important gaps in the evidence, including an estimate of the effect on time to death, first major haemorrhage, and thromboembolism.
Methods We searched Ovid versions of Embase (1980-2009) and Medline (1966-2009), limiting searches to randomised trials with a maximally sensitive strategy. We approached all authors of included trials and requested individual patient data: primary outcomes were time to death, first major haemorrhage, and first thromboembolic event. We did prespecified subgroup analyses according to age, type of control-group care (anticoagulation-clinic care vs primary care), self-testing alone versus self-management, and sex. We analysed patients with mechanical heart valves or atrial fibrillation separately. We used a random-effect model method to calculate pooled hazard ratios and did tests for interaction and heterogeneity, and calculated a time-specific number needed to treat.
Findings Of 1357 abstracts, we included 11 trials with data for 6417 participants and 12 800 person-years of follow-up. We reported a significant reduction in thromboembolic events in the self-monitoring group (hazard ratio 0.51; 95% CI 0.31-0.85) but not for major haemorrhagic events (0.88, 0.74-1.06) or death (0.82, 0.62-1.09). Participants younger than 55 years showed a striking reduction in thrombotic events (hazard ratio 0.33, 95% CI 0.17-0.66), as did participants with mechanical heart valve (0.52, 0.35-0.77). Analysis of major outcomes in the very elderly (age >= 85 years, n=99) showed no significant adverse effects of the intervention for all outcomes.
Interpretation Our analysis showed that self-monitoring and self-management of oral coagulation is a safe option for suitable patients of all ages. Patients should also be offered the option to self-manage their disease with suitable health-care support as back-up.
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.
