@article{SkobelKamkeBoenneretal.2015,
  author    = {Skobel, Erik and Kamke, Wolfram and B{\"o}nner, Gerd and Alt, Bernd and Purucker, Hans-Christian and Schwaab, Bernhard and Einwang, Hans-Peter and Schr{\"o}der, Klaus and Langheim, Eike and V{\"o}ller, Heinz and Brandenburg, Alexandra and Graml, Andrea and Woehrle, Holger and Kr{\"u}ger, Stefan},
  title     = {Risk factors for, and prevalence of, sleep apnoea in cardiac rehabilitation facilities in Germany: The Reha-Sleep registry},
  series = {European journal of preventive cardiology : the official ESC journal for primary \& secondary cardiovascular prevention, rehabilitation and sports cardiology},
  volume    = {22},
  journal   = {European journal of preventive cardiology : the official ESC journal for primary \& secondary cardiovascular prevention, rehabilitation and sports cardiology},
  number    = {7},
  publisher = {Sage Publ.},
  address   = {London},
  issn      = {2047-4873},
  doi       = {10.1177/2047487314537916},
  pages     = {820 -- 830},
  year      = {2015},
  abstract  = {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.},
  language  = {en}
}
@misc{SkobelKamkeBoenneretal.2015,
  author    = {Skobel, Erik and Kamke, Wolfram and B{\"o}nner, Gerd and Alt, Bernd and Purucker, Hans-Christian and Schwaab, Bernhard and Einwang, Hans-Peter and Schr{\"o}der, Klaus and Langheim, Eike and V{\"o}ller, Heinz and Brandenburg, Alexandra and Graml, Andrea and Woehrle, Holger and Kr{\"u}ger, Stefan},
  title     = {Risk factors for, and prevalence of, sleep apnoea in cardiac rehabilitation facilities in Germany},
  series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  number    = {400},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-404814},
  pages     = {11},
  year      = {2015},
  abstract  = {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.},
  language  = {en}
}
@article{SalzwedelKoranLangheimetal.2020,
  author    = {Salzwedel, Annett and Koran, Iryna and Langheim, Eike and Schlitt, Axel and Nothroff, J{\"o}rg and Bongarth, Christa and Wrenger, Markus and Sehner, Susanne and Reibis, Rona Katharina and Wegscheider, Karl and V{\"o}ller, Heinz},
  title     = {Patient-reported outcomes predict return to work and health-related quality of life six months after cardiac rehabilitation},
  series = {PLoS ONE},
  volume    = {15},
  journal   = {PLoS ONE},
  number    = {5},
  publisher = {Plos 1},
  address   = {San Francisco},
  issn      = {1932-6203},
  doi       = {10.1371/journal.pone.0232752},
  pages     = {17},
  year      = {2020},
  abstract  = {Background Multi-component cardiac rehabilitation (CR) is performed to achieve an improved prognosis, superior health-related quality of life (HRQL) and occupational resumption through the management of cardiovascular risk factors, as well as improvement of physical performance and patients' subjective health. Out of a multitude of variables gathered at CR admission and discharge, we aimed to identify predictors of returning to work (RTW) and HRQL 6 months after CR. Design Prospective observational multi-centre study, enrolment in CR between 05/2017 and 05/2018. Method Besides general data (e.g. age, sex, diagnoses), parameters of risk factor management (e.g. smoking, hypertension), physical performance (e.g. maximum exercise capacity, endurance training load, 6-min walking distance) and patient-reported outcome measures (e.g. depression, anxiety, HRQL, subjective well-being, somatic and mental health, pain, lifestyle change motivation, general self-efficacy, pension desire and self-assessment of the occupational prognosis using several questionnaires) were documented at CR admission and discharge. These variables (at both measurement times and as changes during CR) were analysed using multiple linear regression models regarding their predictive value for RTW status and HRQL (SF-12) six months after CR. Results Out of 1262 patients (54±7 years, 77\% men), 864 patients (69\%) returned to work. Predictors of failed RTW were primarily the desire to receive pension (OR = 0.33, 95\% CI: 0.22-0.50) and negative self-assessed occupational prognosis (OR = 0.34, 95\% CI: 0.24-0.48) at CR discharge, acute coronary syndrome (OR = 0.64, 95\% CI: 0.47-0.88) and comorbid heart failure (OR = 0.51, 95\% CI: 0.30-0.87). High educational level, stress at work and physical and mental HRQL were associated with successful RTW. HRQL was determined predominantly by patient-reported outcome measures (e.g. pension desire, self-assessed health prognosis, anxiety, physical/mental HRQL/health, stress, well-being and self-efficacy) rather than by clinical parameters or physical performance. Conclusion Patient-reported outcome measures predominantly influenced return to work and HRQL in patients with heart disease. Therefore, the multi-component CR approach focussing on psychosocial support is crucial for subjective health prognosis and occupational resumption.},
  language  = {en}
}
@misc{SalzwedelKoranLangheimetal.2020,
  author    = {Salzwedel, Annett and Koran, Iryna and Langheim, Eike and Schlitt, Axel and Nothroff, J{\"o}rg and Bongarth, Christa and Wrenger, Markus and Sehner, Susanne and Reibis, Rona Katharina and Wegscheider, Karl and V{\"o}ller, Heinz},
  title     = {Patient-reported outcomes predict return to work and health-related quality of life six months after cardiac rehabilitation},
  series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  number    = {910},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-46983},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-469839},
  pages     = {19},
  year      = {2020},
  abstract  = {Background Multi-component cardiac rehabilitation (CR) is performed to achieve an improved prognosis, superior health-related quality of life (HRQL) and occupational resumption through the management of cardiovascular risk factors, as well as improvement of physical performance and patients' subjective health. Out of a multitude of variables gathered at CR admission and discharge, we aimed to identify predictors of returning to work (RTW) and HRQL 6 months after CR. Design Prospective observational multi-centre study, enrolment in CR between 05/2017 and 05/2018. Method Besides general data (e.g. age, sex, diagnoses), parameters of risk factor management (e.g. smoking, hypertension), physical performance (e.g. maximum exercise capacity, endurance training load, 6-min walking distance) and patient-reported outcome measures (e.g. depression, anxiety, HRQL, subjective well-being, somatic and mental health, pain, lifestyle change motivation, general self-efficacy, pension desire and self-assessment of the occupational prognosis using several questionnaires) were documented at CR admission and discharge. These variables (at both measurement times and as changes during CR) were analysed using multiple linear regression models regarding their predictive value for RTW status and HRQL (SF-12) six months after CR. Results Out of 1262 patients (54±7 years, 77\% men), 864 patients (69\%) returned to work. Predictors of failed RTW were primarily the desire to receive pension (OR = 0.33, 95\% CI: 0.22-0.50) and negative self-assessed occupational prognosis (OR = 0.34, 95\% CI: 0.24-0.48) at CR discharge, acute coronary syndrome (OR = 0.64, 95\% CI: 0.47-0.88) and comorbid heart failure (OR = 0.51, 95\% CI: 0.30-0.87). High educational level, stress at work and physical and mental HRQL were associated with successful RTW. HRQL was determined predominantly by patient-reported outcome measures (e.g. pension desire, self-assessed health prognosis, anxiety, physical/mental HRQL/health, stress, well-being and self-efficacy) rather than by clinical parameters or physical performance. Conclusion Patient-reported outcome measures predominantly influenced return to work and HRQL in patients with heart disease. Therefore, the multi-component CR approach focussing on psychosocial support is crucial for subjective health prognosis and occupational resumption.},
  language  = {en}
}