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203. Apertif: Phased array feeds for the Westerbork Synthesis Radio Telescope

Author

van Cappellen, W. A., primary, Oosterloo, T. A., additional, Verheijen, M. A. W., additional, Adams, E. A. K., additional, Adebahr, B., additional, Braun, R., additional, Hess, K. M., additional, Holties, H., additional, van der Hulst, J. M., additional, Hut, B., additional, Kooistra, E., additional, van Leeuwen, J., additional, Loose, G. M., additional, Morganti, R., additional, Moss, V. A., additional, Orrú, E., additional, Ruiter, M., additional, Schoenmakers, A. P., additional, Vermaas, N. J., additional, Wijnholds, S. J., additional, van Amesfoort, A. S., additional, Arts, M. J., additional, Attema, J. J., additional, Bakker, L., additional, Bassa, C. G., additional, Bast, J. E., additional, Benthem, P., additional, Beukema, R., additional, Blaauw, R., additional, de Blok, W. J. G., additional, Bouwhuis, M., additional, van den Brink, R. H., additional, Connor, L., additional, Coolen, A. H. W. M., additional, Damstra, S., additional, van Diepen, G. N. J., additional, de Goei, R., additional, Dénes, H., additional, Drost, M., additional, Ebbendorf, N., additional, Frank, B. S., additional, Gardenier, D. W., additional, Gerbers, M., additional, Grange, Y. G., additional, Grit, T., additional, Gunst, A. W., additional, Gupta, N., additional, Ivashina, M. V., additional, Józsa, G. I. G., additional, Janssen, G. H., additional, Koster, A., additional, Kruithof, G. H., additional, Kuindersma, S. J., additional, Kutkin, A., additional, Lucero, D. M., additional, Maan, Y., additional, Maccagni, F. M., additional, van der Marel, J., additional, Mika, A., additional, Morawietz, J., additional, Mulder, H., additional, Mulder, E., additional, Norden, M. J., additional, Offringa, A. R., additional, Oostrum, L. C., additional, Overeem, R. E., additional, Paragi, Z., additional, Pepping, H. J., additional, Petroff, E., additional, Pisano, D. J., additional, Polatidis, A. G., additional, Prasad, P., additional, de Reijer, J. P. R., additional, Romein, J. W., additional, Schaap, J., additional, Schoonderbeek, G. W., additional, Schulz, R., additional, van der Schuur, D., additional, Sclocco, A., additional, Sluman, J. J., additional, Smits, R., additional, Stappers, B. W., additional, Straal, S. M., additional, Stuurwold, K. J. C., additional, Verstappen, J., additional, Vohl, D., additional, Wierenga, K. J., additional, Woestenburg, E. E. M., additional, Zanting, A. W., additional, and Ziemke, J., additional

Published
2022
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218. IM BLICKPUNKT

Author

Schulz, R., Horn, Heinz Günter, Strahl, Erwin, and Pausch, Matthias

Published
2004

222. Carbonate Systems

Author

Usdowski, E., Dreybrodt, W., Baumann, J., Schulz, H. D., Merkel, B., Grossmann, J., Eichinger, L., Dörr, H., Leuchs, W., Obermann, P., Regenberg, W., Sonntag, C., Schaefer, K. W., Langguth, H. R., Schulz, R., Michaelis, J., Matthess, G., editor, Frimmel, F., editor, Hirsch, P., editor, Schulz, H. D., editor, and Usdowski, H.-E., editor

Published
1992
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223. Use of the Clinical Global Impression scale in sleep apnea patients – Results from the ESADA database

Author

Dieltjens, M, Verbraecken, J, Hedner, J, Vanderveken, O, Steiropoulos, P, Kvamme, J, Saaresranta, T, Tkacova, R, Marrone, O, Dogas, Z, Schiza, S, Grote, L, Petiet, E, Trakada, G, Montserrat, J, Fietze, I, Penzel, T, Ludka, O, Rodenstein, D, Masa, J, Bouloukaki, I, Kent, B, Mcnicholas, W, Ryan, S, Riha, R, Schulz, R, Zou, D, Pepin, J, Levy, P, Bailly, S, Lavie, L, Lavie, P, Hein, H, Basoglu, O, Tasbakan, M, Varoneckas, G, Joppa, P, Staats, R, Barbe, F, Lombardi, C, Parati, G, Drummond, M, van Zeller, M, Bonsignore, M, Escourrou, P, Roisman, G, Pretl, M, Vitols, A, Galic, T, Pataka, A, Anttalainen, U, Sliwinski, P, Plywaczewski, R, Bielicki, P, Zielinski, J, Dieltjens M., Verbraecken J. A., Hedner J., Vanderveken O. M., Steiropoulos P., Kvamme J. A., Saaresranta T., Tkacova R., Marrone O., Dogas Z., Schiza S., Grote L., Verbraecken J., Petiet E., Trakada G., Montserrat J. M., Fietze I., Penzel T., Ludka O., Rodenstein D., Masa J. F., Bouloukaki I., Kent B., McNicholas W. T., Ryan S., Riha R. L., Schulz R., Zou D., Pepin J. L., Levy P., Bailly S., Lavie L., Lavie P., Hein H., Basoglu O. K., Tasbakan M. S., Varoneckas G., Joppa P., Staats R., Barbe F., Lombardi C., Parati G., Drummond M., van Zeller M., Bonsignore M. R., Escourrou P., Roisman G., Pretl M., Vitols A., Galic T., Pataka A., Anttalainen U., Sliwinski P., Plywaczewski R., Bielicki P., Zielinski J., Dieltjens, M, Verbraecken, J, Hedner, J, Vanderveken, O, Steiropoulos, P, Kvamme, J, Saaresranta, T, Tkacova, R, Marrone, O, Dogas, Z, Schiza, S, Grote, L, Petiet, E, Trakada, G, Montserrat, J, Fietze, I, Penzel, T, Ludka, O, Rodenstein, D, Masa, J, Bouloukaki, I, Kent, B, Mcnicholas, W, Ryan, S, Riha, R, Schulz, R, Zou, D, Pepin, J, Levy, P, Bailly, S, Lavie, L, Lavie, P, Hein, H, Basoglu, O, Tasbakan, M, Varoneckas, G, Joppa, P, Staats, R, Barbe, F, Lombardi, C, Parati, G, Drummond, M, van Zeller, M, Bonsignore, M, Escourrou, P, Roisman, G, Pretl, M, Vitols, A, Galic, T, Pataka, A, Anttalainen, U, Sliwinski, P, Plywaczewski, R, Bielicki, P, Zielinski, J, Dieltjens M., Verbraecken J. A., Hedner J., Vanderveken O. M., Steiropoulos P., Kvamme J. A., Saaresranta T., Tkacova R., Marrone O., Dogas Z., Schiza S., Grote L., Verbraecken J., Petiet E., Trakada G., Montserrat J. M., Fietze I., Penzel T., Ludka O., Rodenstein D., Masa J. F., Bouloukaki I., Kent B., McNicholas W. T., Ryan S., Riha R. L., Schulz R., Zou D., Pepin J. L., Levy P., Bailly S., Lavie L., Lavie P., Hein H., Basoglu O. K., Tasbakan M. S., Varoneckas G., Joppa P., Staats R., Barbe F., Lombardi C., Parati G., Drummond M., van Zeller M., Bonsignore M. R., Escourrou P., Roisman G., Pretl M., Vitols A., Galic T., Pataka A., Anttalainen U., Sliwinski P., Plywaczewski R., Bielicki P., and Zielinski J.

Abstract

Objective/Background: The Clinical Global Impression scale (CGI) reflects the clinician's assessment of the disease impact on patient's global functioning. We assessed predictors of CGI scale rating in patients with obstructive sleep apnea (OSA). Patients/Methods: Consecutive patients with suspected OSA (n = 7581) were identified in the European Sleep Apnea Database (ESADA). Anthropometrics, comorbidities, apnea severity obtained by polygraphy or polysomnography, and daytime sleepiness [Epworth Sleepiness Scale (ESS)] were assessed. The CGI 7-point scale was completed at the end of the diagnostic process (CGI-severity, ie, CGI-S) and, in a subpopulation, at treatment follow-up (CGI-Improvement). Results: CGI-S was rated mild to moderate in 44% of patients. CGI rating at any given apnea intensity was worse in women than in men (p < 0.01). Patients undergoing polygraphy (n = 5075) were more frequently rated as severely ill compared to those studied with polysomnography (19.0% vs 13.0%, p < 0.001). In patients aged ≤65 years, CGI scoring was generally better than in the elderly despite a similar degree of OSA (eg, ‘normal, not ill’ 24.2% vs 15.3%, p < 0.01, respectively). Independent predictors of CGI rating included age, BMI, AHI, ESS, cardio-metabolic comorbidities, and diagnosis based on polygraphy. CGI-improvement rating (Beta = −0.406, p < 0.01) was superior to sleep apnea severity or ESS-score (Beta = 0.052 and −0.021, p = 0.154 and 0.538 respectively) at baseline for prediction of good CPAP compliance at follow-up. Conclusions: CGI rating is confounded by gender, age class and the type of sleep diagnostic method. As OSA phenotypes differ, CGI may contribute as a clinical tool to reflect the significance of clinical disease.

Published
2019

224. Hyperlipidaemia prevalence and cholesterol control in obstructive sleep apnoea: Data from the European sleep apnea database (ESADA)

Author

Gunduz, C, Basoglu, O, Hedner, J, Bonsignore, M, Hein, H, Staats, R, Bouloukaki, I, Roisman, G, Pataka, A, Sliwinski, P, Ludka, O, Pepin, J, Grote, L, Steiropoulos, P, Verbraecken, J, Petiet, E, Trakada, G, Montserrat, J, Fietze, I, Penzel, T, Rodenstein, D, Masa, J, Schiza, S, Kent, B, Mcnicholas, W, Ryan, S, Riha, R, Kvamme, J, Schulz, R, Zou, D, Levy, P, Bailly, S, Lavie, L, Lavie, P, Tasbakan, M, Varoneckas, G, Joppa, P, Tkacova, R, Barbe, F, Lombardi, C, Parati, G, Drummond, M, van Zeller, M, Marrone, O, Petitjean, M, Pretl, M, Vitols, A, Dogas, Z, Galic, T, Anttalainen, U, Saaresranta, T, Plywaczewski, R, Bielicki, P, Gunduz C., Basoglu O. K., Hedner J., Bonsignore M. R., Hein H., Staats R., Bouloukaki I., Roisman G., Pataka A., Sliwinski P., Ludka O., Pepin J. L., Grote L., Steiropoulos P., Verbraecken J., Petiet E., Trakada G., Montserrat J. M., Fietze I., Penzel T., Rodenstein D., Masa J. F., Schiza S., Kent B., McNicholas W. T., Ryan S., Riha R. L., Kvamme J. A., Schulz R., Zou D., Levy P., Bailly S., Lavie L., Lavie P., Tasbakan M. S., Varoneckas G., Joppa P., Tkacova R., Barbe F., Lombardi C., Parati G., Drummond M., van Zeller M., Marrone O., Petitjean M., Pretl M., Vitols A., Dogas Z., Galic T., Anttalainen U., Saaresranta T., Plywaczewski R., Bielicki P., Gunduz, C, Basoglu, O, Hedner, J, Bonsignore, M, Hein, H, Staats, R, Bouloukaki, I, Roisman, G, Pataka, A, Sliwinski, P, Ludka, O, Pepin, J, Grote, L, Steiropoulos, P, Verbraecken, J, Petiet, E, Trakada, G, Montserrat, J, Fietze, I, Penzel, T, Rodenstein, D, Masa, J, Schiza, S, Kent, B, Mcnicholas, W, Ryan, S, Riha, R, Kvamme, J, Schulz, R, Zou, D, Levy, P, Bailly, S, Lavie, L, Lavie, P, Tasbakan, M, Varoneckas, G, Joppa, P, Tkacova, R, Barbe, F, Lombardi, C, Parati, G, Drummond, M, van Zeller, M, Marrone, O, Petitjean, M, Pretl, M, Vitols, A, Dogas, Z, Galic, T, Anttalainen, U, Saaresranta, T, Plywaczewski, R, Bielicki, P, Gunduz C., Basoglu O. K., Hedner J., Bonsignore M. R., Hein H., Staats R., Bouloukaki I., Roisman G., Pataka A., Sliwinski P., Ludka O., Pepin J. L., Grote L., Steiropoulos P., Verbraecken J., Petiet E., Trakada G., Montserrat J. M., Fietze I., Penzel T., Rodenstein D., Masa J. F., Schiza S., Kent B., McNicholas W. T., Ryan S., Riha R. L., Kvamme J. A., Schulz R., Zou D., Levy P., Bailly S., Lavie L., Lavie P., Tasbakan M. S., Varoneckas G., Joppa P., Tkacova R., Barbe F., Lombardi C., Parati G., Drummond M., van Zeller M., Marrone O., Petitjean M., Pretl M., Vitols A., Dogas Z., Galic T., Anttalainen U., Saaresranta T., Plywaczewski R., and Bielicki P.

Abstract

Background and objective: Obstructive sleep apnoea (OSA) and hyperlipidaemia are independent risk factors for cardiovascular disease. This study investigates the association between OSA and prevalence of hyperlipidaemia in patients of the European Sleep Apnea Database (ESADA) cohort. Methods: The cross-sectional analysis included 11 892 patients (age 51.9 ± 12.5 years, 70% male, body mass index (BMI) 31.3 ± 6.6 kg/m2, mean oxygen desaturation index (ODI) 23.7 ± 25.5 events/h) investigated for OSA. The independent odds ratio (OR) for hyperlipidaemia in relation to measures of OSA (ODI, apnoea-hypopnoea index, mean and lowest oxygen saturation) was determined by means of general linear model analysis with adjustment for important confounders such as age, BMI, comorbidities and study site. Results: Hyperlipidaemia prevalence increased from 15.1% in subjects without OSA to 26.1% in those with severe OSA, P < 0.001. Corresponding numbers in patients with diabetes were 8.5% and 41.5%, P < 0.001. Compared with ODI quartile I, patients in ODI quartiles II-IV had an adjusted OR (95% CI) of 1.33 (1.15–1.55), 1.37 (1.17–1.61) and 1.33 (1.12–1.58) (P < 0.001), respectively, for hyperlipidaemia. Obesity was defined as a significant risk factor for hyperlipidaemia. Subgroups of OSA patients with cardio-metabolic comorbidities demonstrated higher prevalence of HL. In addition, differences in hyperlipidaemia prevalence were reported in European geographical regions with the highest prevalence in Central Europe. Conclusion: Obstructive sleep apnoea, in particular intermittent hypoxia, was independently associated with the prevalence of hyperlipidaemia diagnosis.

Published
2019

225. Insomnia symptoms combined with nocturnal hypoxia associate with cardiovascular comorbidity in the European sleep apnea cohort (ESADA)

Author

Anttalainen, U, Grote, L, Fietze, I, Riha, R, Ryan, S, Staats, R, Hedner, J, Saaresranta, T, Barbe, F, Bonsignore, M, Basoglu, O, Bielicki, P, Bouloukaki, I, Dogas, Z, Dorkova, Z, Escourrou, P, Esquinas, C, Hayes, L, Joppa, P, Kurki, S, Kvamme, J, Tamisier, R, Lombardi, C, Marrone, O, Mcnicholas, W, Montserrat, J, Parati, G, Pataka, A, Penzel, T, Pepin, J, Pretl, M, Roisman, G, Schiza, S, Schulz, R, Sliwinski, P, Tasbakan, M, Tkacova, R, Varoneckas, G, Verbraecken, J, Vrints, H, Anttalainen U., Grote L., Fietze I., Riha R. L., Ryan S., Staats R., Hedner J., Saaresranta T., Barbe F., Bonsignore M. R., Basoglu O., Bielicki P., Bouloukaki I., Dogas Z., Dorkova Z., Escourrou P., Esquinas C., Hayes L., Joppa P., Kurki S., Kvamme J. A., Tamisier R., Lombardi C., Marrone O., McNicholas W. T., Montserrat J. M., Parati G., Pataka A., Penzel T., Pepin J. L., Pretl M., Roisman G., Schiza S. E., Schulz R., Sliwinski P., Tasbakan M. S., Tkacova R., Varoneckas G., Verbraecken J., Vrints H., Anttalainen, U, Grote, L, Fietze, I, Riha, R, Ryan, S, Staats, R, Hedner, J, Saaresranta, T, Barbe, F, Bonsignore, M, Basoglu, O, Bielicki, P, Bouloukaki, I, Dogas, Z, Dorkova, Z, Escourrou, P, Esquinas, C, Hayes, L, Joppa, P, Kurki, S, Kvamme, J, Tamisier, R, Lombardi, C, Marrone, O, Mcnicholas, W, Montserrat, J, Parati, G, Pataka, A, Penzel, T, Pepin, J, Pretl, M, Roisman, G, Schiza, S, Schulz, R, Sliwinski, P, Tasbakan, M, Tkacova, R, Varoneckas, G, Verbraecken, J, Vrints, H, Anttalainen U., Grote L., Fietze I., Riha R. L., Ryan S., Staats R., Hedner J., Saaresranta T., Barbe F., Bonsignore M. R., Basoglu O., Bielicki P., Bouloukaki I., Dogas Z., Dorkova Z., Escourrou P., Esquinas C., Hayes L., Joppa P., Kurki S., Kvamme J. A., Tamisier R., Lombardi C., Marrone O., McNicholas W. T., Montserrat J. M., Parati G., Pataka A., Penzel T., Pepin J. L., Pretl M., Roisman G., Schiza S. E., Schulz R., Sliwinski P., Tasbakan M. S., Tkacova R., Varoneckas G., Verbraecken J., and Vrints H.

Abstract

Purpose: The aim of the current study was to further investigate the concept of previously reported high occurrence of comorbidities in obstructive sleep patients (OSA) with insomnia-like symptoms. We hypothesized that this finding at least partly is mediated by nocturnal hypoxia. Moreover, we speculated that the spectrum of the clinical OSA phenotypes differs between European geographical regions. Methods: Cohort of the European Sleep Apnea Database (n = 17,325; 29.9% females) was divided into five subcohorts according to geographical region (North, East, South, West, Central) and further into four clinical presentation phenotypes based on daytime symptoms (EDS) and characteristics suggestive of insomnia. Results: The insomnia phenotype (alone or together with EDS) dominated in all European regions. Isolated insomnia, however, was less common in the West. Insomnia phenotype was associated with the highest proportion of cardiovascular comorbidity (51.7% in the insomnia vs. 43.9% in the EDS type). Measures of nocturnal hypoxemia were independently associated with cardiovascular comorbidity in phenotypes with insomnia-like symptoms. The burden of comorbidities was high across all geographical regions and clinical phenotypes. Regional differences were clinically relevant for age (48 vs. 54 years), BMI (29 vs. 34 kg/m2), and ODI (15 vs. 32/h). Conclusion: High prevalence of particularly cardiovascular comorbidity among patients with insomnia-like symptoms was linked to nocturnal hypoxemia. Considerable differences in clinical presentation were found among OSA patients across Europe. Our data underline that physicians should ask their patients with suspected OSA also for insomnia symptoms. It remains to be explored if a reduction of nocturnal hypoxemia predicts the improvement of insomnia symptoms.

Published
2019

226. Hyperlipidaemia prevalence and cholesterol control in obstructive sleep apnoea: Data from the European sleep apnea database (ESADA)

Author

Gunduz, C., Basoglu, O. Kacmaz, Hedner, J., Bonsignore, M. R., Hein, H., Staats, R., Bouloukaki, I, Roisman, G., Pataka, A., Sliwinski, P., Ludka, O., Pepin, J. L., Grote, L., Steiropoulos, P., Verbraecken, Johan, Petiet, E., Trakada, G., Montserrat, J. M., Fietze, I, Penzel, T., Ondrej, L., Rodenstein, D., Masa, J. F., Schiza, S., Kent, B., McNicholas, W. T., Ryan, S., Riha, R. L., Kvamme, J. A., Schulz, R., Zou, D., Pepina, J. L., Levy, P., Bailly, S., Lavie, L., Lavie, P., Basoglu, O. K., Tasbakan, M. S., Varoneckas, G., Joppa, P., Tkacova, R., Barbe, F., Lombardi, C., Parati, G., Drummond, M., van Zeller, M., Marrone, O., Petitjean, M., Pretl, M., Vitols, A., Dogas, Z., Galic, T., Anttalainen, U., Saaresranta, T., Plywaczewski, R., Bielicki, P., Gunduz, C, Basoglu, O, Hedner, J, Bonsignore, M, Hein, H, Staats, R, Bouloukaki, I, Roisman, G, Pataka, A, Sliwinski, P, Ludka, O, Pepin, J, Grote, L, Steiropoulos, P, Verbraecken, J, Petiet, E, Trakada, G, Montserrat, J, Fietze, I, Penzel, T, Rodenstein, D, Masa, J, Schiza, S, Kent, B, Mcnicholas, W, Ryan, S, Riha, R, Kvamme, J, Schulz, R, Zou, D, Levy, P, Bailly, S, Lavie, L, Lavie, P, Tasbakan, M, Varoneckas, G, Joppa, P, Tkacova, R, Barbe, F, Lombardi, C, Parati, G, Drummond, M, van Zeller, M, Marrone, O, Petitjean, M, Pretl, M, Vitols, A, Dogas, Z, Galic, T, Anttalainen, U, Saaresranta, T, Plywaczewski, R, Bielicki, P, Tıp Fakültesi, Gunduz C., Basoglu O.K., Hedner J., Bonsignore M.R., Hein H., Staats R., Bouloukaki I., Roisman G., Pataka A., Sliwinski P., Ludka O., Pepin J.L., Grote L., Steiropoulos P., Verbraecken J., Petiet E., Trakada G., Montserrat J.M., Fietze I., Penzel T., Rodenstein D., Masa J.F., Schiza S., Kent B., McNicholas W.T., Ryan S., Riha R.L., Kvamme J.A., Schulz R., Zou D., Levy P., Bailly S., Lavie L., Lavie P., Tasbakan M.S., Varoneckas G., Joppa P., Tkacova R., Barbe F., Lombardi C., Parati G., Drummond M., van Zeller M., Marrone O., Petitjean M., Pretl M., Vitols A., Dogas Z., Galic T., Anttalainen U., Saaresranta T., Plywaczewski R., Bielicki P., SALAS, Danielle, Biruni University [Istanbul] (BU), Ege university, University of Gothenburg (GU), Sahlgrenska University Hospital [Gothenburg], Università degli studi di Palermo - University of Palermo, CNR-IBIM : National Research Council-Institute of Biomedicine and Molecular Immunology, St. Adolf-Stift Hospital [Reinbek, Germany] (SASH), Hospital de Santa Maria [Lisboa], University of Crete [Heraklion] (UOC), AP-HP - Hôpital Antoine Béclère [Clamart], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), General Hospital of Thessaloniki George Papanikolaou, Institute of Tuberculosis and Lung Diseases [Warsaw, Poland] (ITLD), University Hospital Brno, St. Anne’s University Hospital [Brno], Hypoxie et PhysioPathologie (HP2), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Centre Hospitalier Universitaire [Grenoble] (CHU), European Sleep Apnoea Database collaborators: P Steiropoulos, J Verbraecken, E Petiet, G Trakada, J M Montserrat, I Fietze, T Penzel, D Rodenstein, J F Masa, S Schiza, B Kent, W T McNicholas, S Ryan, R L Riha, J A Kvamme, R Schulz, D Zou, J L Pépin, P Levy, S Bailly, L Lavie, P Lavie, M S Tasbakan, G Varoneckas, P Joppa, R Tkacova, F Barbé, C Lombardi, G Parati, M Drummond, M van Zeller, O Marrone, M Petitjean, M Pretl, A Vitols, Z Dogas, T Galic, U Anttalainen, T Saaresranta, R Plywaczewski, P Bielicki, and European Sleep Apnoea Database Col

Subjects
Male, 0301 basic medicine, [SDV]Life Sciences [q-bio], Polysomnography, Hyperlipidemias, Settore MED/10 - Malattie Dell'Apparato Respiratorio, 030204 cardiovascular system & hematology, computer.software_genre, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Diabetes mellitus, Prevalence, Internal Medicine, Humans, Medicine, cholesterol, hyperlipidaemia, hypoxia, obesity, sleep apnoea, Obesity, Sleep Apnea, Obstructive, Database, business.industry, Confounding, Sleep apnea, Odds ratio, Middle Aged, medicine.disease, respiratory tract diseases, [SDV] Life Sciences [q-bio], Europe, Cross-Sectional Studies, 030104 developmental biology, Quartile, Cardiovascular Diseases, Cohort, Female, Human medicine, business, Body mass index, computer
Abstract

Gunduz C, Basoglu OK, Hedner J, et al; onbehalf of the European Sleep Apnoea Databasecollaborators (Biruni University; Ege University;Gothenburg University; Sahlgrenska UniversityHospital; University of Palermo; CNR Institute ofBiomedicine and Molecular Immunology; St. AdolfStift; Hospital de Santa Maria; University of Crete;Antoine-Beclere Hospital; G. PapanikolaouHospital; Institute of Tuberculosis and LungDiseases; University Hospital Brno; St. Ann’sUniversity Hospital; Universite ́ Grenoble Alpes)Hyperlipidaemia prevalence and cholesterolcontrol in obstructive sleep apnoea: Data from theEuropean sleep apnea database (ESADA).J InternMed2019;286: 676–688.Background and objective.Obstructive sleep apnoea(OSA) and hyperlipidaemia are independent riskfactors for cardiovascular disease. This studyinvestigates the association between OSA andprevalence of hyperlipidaemia in patients of theEuropean Sleep Apnea Database (ESADA) cohort.Methods.The cross-sectional analysis included11 892 patients (age 51.9 12.5 years, 70% male,body mass index (BMI) 31.3 6.6 kg/m2, meanoxygen desaturation index (ODI) 23.7 25.5events/h) investigated for OSA. The independentodds ratio (OR) for hyperlipidaemia in relation tomeasures of OSA (ODI, apnoea-hypopnoea index,mean and lowest oxygen saturation) was deter-mined by means of general linear model analysiswith adjustment for important confounders suchas age, BMI, comorbidities and study site.Results.Hyperlipidaemia prevalence increased from15.1% in subjects without OSA to 26.1% in thosewith severe OSA,P

Published
2019

228. The Gamma-Ray Emitting Radio-Loud Narrow-Line Seyfert 1 Galaxy PKS 2004-447 II. The Radio View

Author

Schulz, R, Kreikenbohm, A, Kadler, M, Ojha, R, Ros, E, Stevens, J, Edwards, P. G, Carpenter, B, Elsaesser, D, Gehrels, N, Grobberger, C, Hase, H, Horiuchi, S, Lovell, J. E. J, Mannheim, K, Markowitz, A, Phillips, C, Ploetz, C, Quick, J, Truestedt, J, Tzioumis, A. K, and Wilms, J

Subjects
Astrophysics
Abstract

Context. gamma-ray-detected radio-loud narrow-line Seyfert 1 (gamma-NLS1) galaxies constitute a small but interesting sample of the gamma-ray-loud AGN. The radio-loudest gamma-NLS1 known, PKS2004447, is located in the southern hemisphere and is monitored in the radio regime by the multiwavelength monitoring programme TANAMI. Aims. We aim for the first detailed study of the radio morphology and long-term radio spectral evolution of PKS2004447, which are essential for understanding the diversity of the radio properties of gamma-NLS1s. Methods. The TANAMI VLBI monitoring program uses the Australian Long Baseline Array (LBA) and telescopes in Antarctica, Chile, New Zealand, and South Africa to monitor the jets of radio-loud active galaxies in the southern hemisphere. Lower resolution radio flux density measurements at multiple radio frequencies over four years of observations were obtained with the Australia Telescope Compact Array (ATCA). Results. The TANAMI VLBI image at 8.4GHz shows an extended one-sided jet with a dominant compact VLBI core. Its brightness temperature is consistent with equipartition, but it is an order of magnitude below other gamma-NLS1s with the sample value varying over two orders of magnitude. We find a compact morphology with a projected large-scale size 11 kpc and a persistent steep radio spectrum with moderate flux-density variability. Conclusions. PKS2004447 appears to be a unique member of the gamma-NLS1 sample. It exhibits blazar-like features, such as a flat featureless X-ray spectrum and a core-dominated, one-sided parsec-scale jet with indications for relativistic beaming. However, the data also reveal properties atypical for blazars, such as a radio spectrum and large-scale size consistent with compact-steep-spectrum (CSS) objects, which are usually associated with young radio sources. These characteristics are unique among all gamma-NLS1s and extremely rare among gamma-ray-loud AGN.

Published
2016
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233. Obstructive sleep apnoea independently predicts lipid levels: Data from the European Sleep Apnea Database

Author

Gündüz, Canan, Basoglu, Ozen K., Hedner, Jan, Zou, Ding, Bonsignore, Maria R., Hein, Holger, Staats, Richard, Pataka, Athanasia, Barbe, Ferran, Sliwinski, Pavel, Kent, Brian D., Pepin, Jean Lois, Grote, Ludger, Anttalainen, U., Barbé, F., Bonsignore, M. R., Basoglu, O. K., Bielicki, P., Bouloukaki, I., Dogas, Z., Dorkova, Z., Escourrou, P., Fietze, I., Grote, L., Hedner, J., Hein, H., Joppa, P., Kvamme, J. A., Levy, P., Lombardi, C., Marrone, O., Masa, J. F., McNicholas, W. T., Montserrat, J. M., Parati, G., Pataka, A., Penzel, T., Pépin, J. L., Plywaczewski, R., Pretl, M., Riha, R. L., Roisman, G., Ryan, S., Saaresranta, T., Schiza, S., Schulz, R., Sliwinski, P., Pepin, J. L., Petiet, Erna, Tasbakan, M. S., Tkacova, R., Staats, R., Steiropoulos, P., Varoneckas, G., Verbraecken, J., Vitols, A., Gündüz, C, Basoglu, O, Hedner, J, Zou, D, Bonsignore, M, Hein, H, Staats, R, Pataka, A, Barbe, F, Sliwinski, P, Kent, B, Pepin, J, Grote, L, Anttalainen, U, Barbé, F, Bielicki, P, Bouloukaki, I, Dogas, Z, Dorkova, Z, Escourrou, P, Fietze, I, Joppa, P, Kvamme, J, Levy, P, Lombardi, C, Marrone, O, Masa, J, Mcnicholas, W, Montserrat, J, Parati, G, Penzel, T, Pépin, J, Plywaczewski, R, Pretl, M, Riha, R, Roisman, G, Ryan, S, Saaresranta, T, Schiza, S, Schulz, R, Petiet, E, Tasbakan, M, Tkacova, R, Steiropoulos, P, Varoneckas, G, Verbraecken, J, Vitols, A, Gunduz, C, Hender, J, and Lepin, J

Subjects
Male, obesity, Databases, Factual, cholesterol, dyslipidemia, hypoxia, obesity, sleep apnoea, Gastroenterology, Cohort Studies, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, Hypolipidemic Agents, Oxygen saturation (medicine), Sleep Apnea, Obstructive, medicine.diagnostic_test, Sleep apnea, Middle Aged, Europe, Quartile, Cardiovascular Diseases, Cohort, Female, lipids (amino acids, peptides, and proteins), Adult, Pulmonary and Respiratory Medicine, medicine.medical_specialty, Settore MED/10 - Malattie Dell'Apparato Respiratorio, 03 medical and health sciences, Internal medicine, medicine, Humans, Triglycerides, Dyslipidemias, hypoxia, Cholesterol, business.industry, Cholesterol, HDL, dyslipidemia, cholesterol, Cholesterol, LDL, ta3121, medicine.disease, Obesity, nervous system diseases, respiratory tract diseases, Cross-Sectional Studies, 030228 respiratory system, chemistry, Lipid profile, business, sleep apnoea, 030217 neurology & neurosurgery, Dyslipidemia
Abstract

Background and objective: Obstructive sleep apnoea (OSA) and dyslipidaemia are independent risk factors for cardiovascular disease. This study investigates the association between OSA and plasma lipid concentrations in patients enrolled in the European Sleep Apnea Database (ESADA) cohort. Methods: The cross-sectional analysis included 8592 patients without physician-diagnosed hyperlipidaemia or reported intake of a lipid-lowering drug (age 50.1 ± 12.7 years, 69.1% male, BMI: 30.8 ± 6.6 kg/m2, mean apnoea–hypopnoea index (AHI): 25.7 ± 25.9 events/h). The independent relationship between measures of OSA (AHI, oxygen desaturation index (ODI), mean and lowest oxygen saturation) and lipid profile (total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and fasting triglycerides (TG)) was determined by means of general linear model analysis. Results: There was a dose response relationship between TC and ODI (mean ± SE (mg/dL): 180.33 ± 2.46, 184.59 ± 2.42, 185.44 ± 2.42 and 185.73 ± 2.44; P < 0.001 across ODI quartiles I–IV). TG and LDL concentrations were better predicted by AHI than by ODI. HDL-C was significantly reduced in the highest AHI quartile (mean ± SE (mg/dL): 48.8 ± 1.49 vs 46.50 ± 1.48; P = 0.002, AHI quartile I vs IV). Morbid obesity was associated with lower TC and higher HDL-C values. Lipid status was influenced by geographical location with the highest TC concentration recorded in Northern Europe. Conclusion: OSA severity was independently associated with cholesterol and TG concentrations.

Published
2018

234. Linking rhizosphere processes across scales: Opinion

Author

Mutez Ali Ahmed, Ani M, Mathieu Javaux, Michael Bonkowski, Jonas Bentz, Lehndorff E, Magdalena Landl, Schulz R, Andrea Carminati, Eva Kroener, Carsten W. Mueller, Lieu A, Dörte Diehl, Mathilde Brax, Patrick Duddek, Maxime Phalempin, Eva Oburger, Alexander Prechtel, Doris Vetterlein, Wilfred Otten, Andrea Schnepf, Pascal Benard, Eva Lippold, Jan Vanderborght, and UCL - SST/ELI/ELIE - Environmental Sciences

Subjects
MAIZE RHIZOSPHERE, Emergent behaviour, Soil Science, Plant Science, Modelling, Rhizosphere, Up- and downscaling, WATER, PLANT, Transpiration, RHIZODEPOSITION, Science & Technology, ROOT HAIRS, Scale (chemistry), Plant Sciences, LATTICE-BOLTZMANN, Experimental data, Agriculture, Soil carbon, Agronomy, Field (geography), SOIL, MODEL, MUCILAGE, ddc:580, Soil structure, Soil water, Environmental science, NUTRIENT-UPTAKE, Biological system, Life Sciences & Biomedicine
Abstract

Purpose Simultaneously interacting rhizosphere processes determine emergent plant behaviour, including growth, transpiration, nutrient uptake, soil carbon storage and transformation by microorganisms. However, these processes occur on multiple scales, challenging modelling of rhizosphere and plant behaviour. Current advances in modelling and experimental methods open the path to unravel the importance and interconnectedness of those processes across scales. Methods We present a series of case studies of state-of-the art simulations addressing this multi-scale, multi-process problem from a modelling point of view, as well as from the point of view of integrating newly available rhizosphere data and images. Results Each case study includes a model that links scales and experimental data to explain and predict spatial and temporal distribution of rhizosphere components. We exemplify the state-of-the-art modelling tools in this field: image-based modelling, pore-scale modelling, continuum scale modelling, and functional-structural plant modelling. We show how to link the pore scale to the continuum scale by homogenisation or by deriving effective physical parameters like viscosity from nano-scale chemical properties. Furthermore, we demonstrate ways of modelling the links between rhizodeposition and plant nutrient uptake or soil microbial activity. Conclusion Modelling allows to integrate new experimental data across different rhizosphere processes and scales and to explore more variables than is possible with experiments. Described models are tools to test hypotheses and consequently improve our mechanistic understanding of how rhizosphere processes impact plant-scale behaviour. Linking multiple scales and processes including the dynamics of root growth is the logical next step for future research., Plant and Soil, 478, ISSN:0032-079X, ISSN:1573-5036

Published
2021
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236. Obstructive sleep apnoea in adult patients post-tonsillectomy

Author

Anttalainen, U., Barbé, F., Bonsignore, M.R., Basoglu, O., Bielicki, P., Bouloukaki, I., Dogas, Z., Dorkova, Z., Escourrou, P., Fietze, I., Esquinas, C., Grote, L., Kent, B.D., Lena, Lavie, Lavie, P., Levy, P., Lombardi, C., Marrone, O., Masa, J.F., McNicholas, W.T., Montserrat, J.M., Parati, G., Penzel, T., Pépin, J.L., Plywaczewski, R., Pretl, M., Rodenstein, D., Roisman, G., Ryan, S., Saaresranta, T., Schiza, S.E., Schulz, R., Sliwinski, P., Staats, R., Steiropoulos, P., Tasbakan, M.S., Tkacova, R., Varoneckas, G., Verbraecken, J., Vitols, A., Vrints, H., Zielinski, J., Riha, Renata L., Kotoulas, Serafeim – Chrysovalantis, Pataka, Athanasia, Kvamme, John Arthur, Joppa, Pavol, and Hedner, Jan

Published
2021
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241. Evolución hacia la era digital de la cirugía ortognática. Experiencia en un centro universitario

Author

Erazo C.,Cristian, Maripangui D.,Maritza, Quispe V.,Diego, Schulz R.,Rolando, Jara,Rocío, Andrades C.,Patricio, Danilla E.,Stefan, Albornoz G.,Claudia, Yamada T.,Naomi, Serra D.,Sofia, and Sepúlveda P.,Sergio

Subjects
cirugía plástica, complicaciones posoperatorias, cirugías ortognáticas
Abstract

Resumen Introducción: La incorporación de tecnologías en la práctica quirúrgica, ha cambiado la forma de enfrentar el proceso quirúrgico. Objetivo: Describir la experiencia de los últimos 9 años, en cirugía ortognática, con la incorporación de la cefalometría 3D. Materiales y Método: Se realizó una revisión retrospectiva de pacientes operados de cirugía ortognática durante el período enero de 2011 a agosto de 2018. Se registraron datos demográficos, quirúrgicos, tipo de planificación quirúrgica, complicaciones y resultados a largo plazo. Resultados: 21 pacientes requirieron cirugías ortognáticas. Se realizaron 16 cirugías bimaxilares (76%), 3 cirugías de avance maxilar superior (14%) y 2 cirugías de osteotomía sagital de rama (10%). Las principales etiologías fueron: 67% maloclusión clase III (n = 14), 28% maloclusión clase II (n = 6) y 5% desviación mandibular (n = 1). La planificación prequirúrgica virtual fue utilizada en 11 pacientes (52%). La tasa de complicaciones Clavien-Dindo > III fue 4,8% (n = 1). Conclusiones: En nuestra experiencia, las técnicas de cirugía ortognática son seguras. Las complicaciones de la serie fueron escasas y bien toleradas por los pacientes. Durante los últimos años y, de acuerdo a los avances tecnológicos, la incorporación de la planificación quirúrgica virtual 3D favoreció el desarrollo de la cirugía ortognática en nuestro centro.

Published
2021

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