TY - JOUR A1 - Skobel, Erik A1 - Kamke, Wolfram A1 - Bönner, Gerd A1 - Alt, Bernd A1 - Purucker, Hans-Christian A1 - Schwaab, Bernhard A1 - Einwang, Hans-Peter A1 - Schröder, Klaus A1 - Langheim, Eike A1 - Völler, Heinz A1 - Brandenburg, Alexandra A1 - Graml, Andrea A1 - Woehrle, Holger A1 - Krüger, Stefan T1 - Risk factors for, and prevalence of, sleep apnoea in cardiac rehabilitation facilities in Germany: The Reha-Sleep registry JF - European journal of preventive cardiology : the official ESC journal for primary & secondary cardiovascular prevention, rehabilitation and sports cardiology N2 - 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. KW - Cardiac rehabilitation KW - sleep apnoea KW - sleep-disordered breathing Y1 - 2015 U6 - https://doi.org/10.1177/2047487314537916 SN - 2047-4873 SN - 2047-4881 VL - 22 IS - 7 SP - 820 EP - 830 PB - Sage Publ. CY - London ER - TY - GEN A1 - Skobel, Erik A1 - Kamke, Wolfram A1 - Bönner, Gerd A1 - Alt, Bernd A1 - Purucker, Hans-Christian A1 - Schwaab, Bernhard A1 - Einwang, Hans-Peter A1 - Schröder, Klaus A1 - Langheim, Eike A1 - Völler, Heinz A1 - Brandenburg, Alexandra A1 - Graml, Andrea A1 - Woehrle, Holger A1 - Krüger, Stefan T1 - Risk factors for, and prevalence of, sleep apnoea in cardiac rehabilitation facilities in Germany BT - the Reha-Sleep registry T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - 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. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 400 KW - cardiac rehabilitation KW - sleep apnoea KW - sleep-disordered breathing Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-404814 IS - 400 ER - TY - JOUR A1 - Laskov, Pavel A1 - Gehl, Christian A1 - Krüger, Stefan A1 - Müller, Klaus-Robert T1 - Incremental support vector learning: analysis, implementation and applications JF - Journal of machine learning research N2 - Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM learning, with the aim of providing a fast, numerically stable and robust implementation. A detailed analysis of convergence and of algorithmic complexity of incremental SVM learning is carried out. Based on this analysis, a new design of storage and numerical operations is proposed, which speeds up the training of an incremental SVM by a factor of 5 to 20. The performance of the new algorithm is demonstrated in two scenarios: learning with limited resources and active learning. Various applications of the algorithm, such as in drug discovery, online monitoring of industrial devices and and surveillance of network traffic, can be foreseen. KW - incremental SVM KW - online learning KW - drug discovery KW - intrusion detection Y1 - 2006 SN - 1532-4435 VL - 7 SP - 1909 EP - 1936 PB - MIT Press CY - Cambridge, Mass. ER -