179 results on '"Renée de Mutsert"'
Search Results
152. Lung function, FEno, symptoms and obesity in asthma - A cross-sectional study
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Niels H. Chavannes, Marise J. Kasteleyn, Tobias Bonten, Saskia le Cessie, Renée de Mutsert, Pieter S. Hiemstra, Frits R. Rosendaal, Willemien Thijs, and Christian Taube
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Inflammation ,Vital capacity ,medicine.medical_specialty ,Cross-sectional study ,business.industry ,Epidemiology ,medicine.disease ,Obesity ,respiratory tract diseases ,03 medical and health sciences ,FEV1/FVC ratio ,0302 clinical medicine ,030228 respiratory system ,Epidemiology of obesity ,Internal medicine ,Exhaled nitric oxide ,Asthma - mechanism ,medicine ,Physical therapy ,medicine.symptom ,030223 otorhinolaryngology ,business ,Asthma - Abstract
Background: Obesity increases the risk of asthma. Obesity-related asthma is recognized as a distinct phenotype. More evidence on differences between obese and non-obese asthma patients can help to improve diagnostic accuracy and to optimize treatment. Aim: To explore differences in lung function, inflammation and symptoms between obese and non-obese asthma patients. Method: The Netherlands Epidemiology of Obesity (NEO) study is a population based cohort study in 6671 participants(592 with asthma). Differences in lung function, fractional exhaled nitric oxide(FeNO) and symptoms between obese and non-obese asthma patients were explored using regression analysis, corrected for age, sex, smoking, ethnicity, education, physical activity, inhaled corticosteroids use. Results: Among 592 asthma patients, 318 were obese(BMI≥30 kg/m2). Non-obese asthma patients had better predicted forced expiratory volume in 1s (FEV1%)(100.2±18.6 vs. 96.5±18.1,p=0.026) and forced vital capacity (FVC%)(112.1±18.0 vs. 107.0±15.8,p Conclusions: Non-obese asthma patients have a better lung function than obese asthma patients. Obese patients more often experience wheezing and their symptoms worsen more during activity. Our results suggest that despite similar levels of inflammation as assessed by FeNO, obese asthma patients are more symptomatic and have a lower lung function than non-obese patients.
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- 2016
153. Corrigendum: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
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Aysu, Okbay, Bart M L, Baselmans, Jan-Emmanuel De, Neve, Patrick, Turley, Michel G, Nivard, Mark Alan, Fontana, S Fleur W, Meddens, Richard Karlsson, Linnér, Cornelius A, Rietveld, Jaime, Derringer, Jacob, Gratten, James J, Lee, Jimmy Z, Liu, Ronald, de Vlaming, Tarunveer S, Ahluwalia, Jadwiga, Buchwald, Alana, Cavadino, Alexis C, Frazier-Wood, Nicholas A, Furlotte, Victoria, Garfield, Marie Henrike, Geisel, Juan R, Gonzalez, Saskia, Haitjema, Robert, Karlsson, Sander W, van der Laan, Karl-Heinz, Ladwig, Jari, Lahti, Sven J, van der Lee, Penelope A, Lind, Tian, Liu, Lindsay, Matteson, Evelin, Mihailov, Michael B, Miller, Camelia C, Minica, Ilja M, Nolte, Dennis, Mook-Kanamori, Peter J, van der Most, Christopher, Oldmeadow, Yong, Qian, Olli, Raitakari, Rajesh, Rawal, Anu, Realo, Rico, Rueedi, Börge, Schmidt, Albert V, Smith, Evie, Stergiakouli, Toshiko, Tanaka, Kent, Taylor, Gudmar, Thorleifsson, Juho, Wedenoja, Juergen, Wellmann, Harm-Jan, Westra, Sara M, Willems, Wei, Zhao, Najaf, Amin, Andrew, Bakshi, Sven, Bergmann, Gyda, Bjornsdottir, Patricia A, Boyle, Samantha, Cherney, Simon R, Cox, Gail, Davies, Oliver S P, Davis, Jun, Ding, Nese, Direk, Peter, Eibich, Rebecca T, Emeny, Ghazaleh, Fatemifar, Jessica D, Faul, Luigi, Ferrucci, Andreas J, Forstner, Christian, Gieger, Richa, Gupta, Tamara B, Harris, Juliette M, Harris, Elizabeth G, Holliday, Jouke-Jan, Hottenga, Philip L De, Jager, Marika A, Kaakinen, Eero, Kajantie, Ville, Karhunen, Ivana, Kolcic, Meena, Kumari, Lenore J, Launer, Lude, Franke, Ruifang, Li-Gao, David C, Liewald, Marisa, Koini, Anu, Loukola, Pedro, Marques-Vidal, Grant W, Montgomery, Miriam A, Mosing, Lavinia, Paternoster, Alison, Pattie, Katja E, Petrovic, Laura, Pulkki-Råback, Lydia, Quaye, Katri, Räikkönen, Igor, Rudan, Rodney J, Scott, Jennifer A, Smith, Angelina R, Sutin, Maciej, Trzaskowski, Anna E, Vinkhuyzen, Lei, Yu, Delilah, Zabaneh, John R, Attia, David A, Bennett, Klaus, Berger, Lars, Bertram, Dorret I, Boomsma, Harold, Snieder, Shun-Chiao, Chang, Francesco, Cucca, Ian J, Deary, Cornelia M, van Duijn, Johan G, Eriksson, Ute, Bültmann, Eco J C, de Geus, Patrick J F, Groenen, Vilmundur, Gudnason, Torben, Hansen, Catharine A, Hartman, Claire M A, Haworth, Caroline, Hayward, Andrew C, Heath, David A, Hinds, Elina, Hyppönen, William G, Iacono, Marjo-Riitta, Järvelin, Karl-Heinz, Jöckel, Jaakko, Kaprio, Sharon L R, Kardia, Liisa, Keltikangas-Järvinen, Peter, Kraft, Laura D, Kubzansky, Terho, Lehtimäki, Patrik K E, Magnusson, Nicholas G, Martin, Matt, McGue, Andres, Metspalu, Melinda, Mills, Renée, de Mutsert, Albertine J, Oldehinkel, Gerard, Pasterkamp, Nancy L, Pedersen, Robert, Plomin, Ozren, Polasek, Christine, Power, Stephen S, Rich, Frits R, Rosendaal, Hester M, den Ruijter, David, Schlessinger, Helena, Schmidt, Rauli, Svento, Reinhold, Schmidt, Behrooz Z, Alizadeh, Thorkild I A, Sørensen, Tim D, Spector, John M, Starr, Kari, Stefansson, Andrew, Steptoe, Antonio, Terracciano, Unnur, Thorsteinsdottir, A Roy, Thurik, Nicholas J, Timpson, Henning, Tiemeier, André G, Uitterlinden, Peter, Vollenweider, Gert G, Wagner, David R, Weir, Jian, Yang, Dalton C, Conley, George Davey, Smith, Albert, Hofman, Magnus, Johannesson, David I, Laibson, Sarah E, Medland, Michelle N, Meyer, Joseph K, Pickrell, Tõnu, Esko, Robert F, Krueger, Jonathan P, Beauchamp, Philipp D, Koellinger, Daniel J, Benjamin, Meike, Bartels, and David, Cesarini
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Journal Article ,Medizin ,Genetics ,Article - Abstract
We conducted genome-wide association studies of three phenotypes: subjective well-being (N = 298,420), depressive symptoms (N = 161,460), and neuroticism (N = 170,910). We identified three variants associated with subjective well-being, two with depressive symptoms, and eleven with neuroticism, including two inversion polymorphisms. The two depressive symptoms loci replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ̂| ≈ 0.8) strengthen the overall credibility of the findings, and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal/pancreas tissues are strongly enriched for association.
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- 2016
154. Association of Body Mass Index With Decline in Residual Kidney Function After Initiation of Dialysis
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Christiane, Drechsler, Renée, de Mutsert, Diana C, Grootendorst, Elisabeth W, Boeschoten, Raymond T, Krediet, Saskia, le Cessie, Christoph, Wanner, Friedo W, Dekker, P F, Vos, ACS - Amsterdam Cardiovascular Sciences, Nephrology, Vascular Medicine, APH - Amsterdam Public Health, Medical Informatics, Cardiothoracic Surgery, and University of Groningen
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Male ,Nephrology ,RELATIVE CONTRIBUTION ,medicine.medical_treatment ,HEMODIALYSIS-PATIENTS ,Kidney ,Kidney Function Tests ,Cohort Studies ,OBESITY-RELATED GLOMERULOPATHY ,Risk Factors ,Prospective Studies ,kidney function ,PERITONEAL-DIALYSIS ,glomerular filtration rate ,INSULIN-RESISTANCE ,education.field_of_study ,FILTRATION-RATE ,STAGE RENAL-DISEASE ,Middle Aged ,Female ,medicine.symptom ,Adult ,NUTRITIONAL-STATUS ,medicine.medical_specialty ,Population ,Urology ,Renal function ,body mass index ,Peritoneal dialysis ,MORTALITY RISK ,Renal Dialysis ,Internal medicine ,cohort study ,medicine ,Humans ,Obesity ,education ,Dialysis ,Aged ,business.industry ,medicine.disease ,Surgery ,Kidney Failure, Chronic ,dialysis ,Anuria ,ADEQUACY ,business ,Body mass index ,Follow-Up Studies ,Kidney disease - Abstract
Background: Obesity is a risk factor for loss of kidney function in the general population, but it is unknown whether it proceeds to affect residual kidney function when patients require dialysis. Our aim was to study the effects of body mass index (BMI) on decline in kidney function and risk to develop anuria after initiation of dialysis therapy. Study Design: Prospective cohort study. Setting & Participants: 1,271 incident dialysis patients from 38 centers in The Netherlands participating in the Netherlands Cooperative Study on the Adequacy of Dialysis (NECOSAD) between 1997 and 2006. Predictor: BMI assessed at 3 months after the initiation of dialysis therapy (baseline) and categorized into 4 groups: less than 20, 20 or greater to 25, 25 or greater to 30, and 30 or greater kg/m(2). Outcomes & Measurements: The decrease in measured glomerular filtration rate (mGFR) was determined by means of linear mixed models and adjusted for age, sex, primary kidney disease, dialysis modality, smoking, cardiovascular disease, and normalized protein nitrogen appearance and additionally for proteinuria, blood pressure, and baseline mGFR. Cox regression analysis was used to calculate hazard ratios for the development of anuria. Results: Patients had a mean age of 59 +/- 15 years, BMI of 24.8 +/- 4.1 kg/m(2), and mGFR of 4.7 +/- 3.3 mL/min. During 18 months of follow-up, the decrease in mGFR in patients with normal weight was 1.2 mL/min/y (95% confidence interval [Cl], 0.7 to 1.6). Compared with those values, adjusted losses of mGFR were 0.4 mL/min/y (95% Cl, 0.02 to 0.8) greater for overweight and 1.2 mL/min/y (95% Cl, 0.5 to 1.8) greater for obese patients. In contrast, the decrease in underweight patients was 0.6 mL/min/y (-0.1 to 1.3) less. Anuria occurred in 297 patients;the risk was similar among BMI groups after adjustment for confounders and baseline diuresis. Limitations: Patients with missing BMI or mGFR values at baseline were excluded. Conclusion: Obesity is a strong risk factor for the decline in kidney function after initiation of dialysis therapy. Whether obese dialysis patients might benefit from a healthy weight reduction needs to be studied further. Am J Kidney Dis 53:1014-1023. (C) 2009 by the National Kidney Foundation, Inc.
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- 2009
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155. The effect of joint exposures: examining the presence of interaction
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Carmine Zoccali, Kitty J Jager, Renée de Mutsert, Friedo W. Dekker, ACS - Amsterdam Cardiovascular Sciences, APH - Amsterdam Public Health, and Medical Informatics
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Male ,additivity ,medicine.medical_specialty ,joint exposure ,interaction ,Comorbidity ,Strengthening the reporting of observational studies in epidemiology ,Logistic regression ,Interaction ,Risk Factors ,Additive function ,Epidemiology ,Statistics ,Medicine ,Humans ,Risk factor ,Models, Statistical ,business.industry ,logistic regression ,Absolute risk reduction ,Causality ,Epidemiologic Studies ,Logistic Models ,Cardiovascular Diseases ,Nephrology ,Relative risk ,Practice Guidelines as Topic ,Kidney Failure, Chronic ,epidemiology ,Female ,business - Abstract
Clinical epidemiological studies investigate whether an exposure, or risk factor, is causally related to the development or progression of a disease or mortality. It might be of interest to study whether this relation is different in different types of patients. To address such research questions, the presence of interaction among risk factors can be examined. Causal interaction between two risk factors is considered most clinically relevant in epidemiology. Causal interaction occurs when two risk factors act together in causing disease and is explicitly defined as a deviation from additivity on a risk difference scale. Statistical interaction can be evaluated on both an additive (absolute risk) and multiplicative (relative risk) scale, depending on the model that is used. When using logistic regression models, which are multiplicative models, several measures of additive interaction are presented to evaluate whether the magnitude of an association differs across subgroups: the relative excess risk due to interaction (RERI), the attributable proportion due to interaction (AP), or the synergy index (S). For a transparent presentation of interaction effects the recent Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement advises reporting the separate effect of each exposure as well as the joint effect compared with the unexposed group as a joint reference category to permit evaluation of both additive and multiplicative interaction.
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- 2009
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156. Subjective global assessment of nutritional status is strongly associated with mortality in chronic dialysis patients
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Renée, de Mutsert, Diana C, Grootendorst, Elisabeth W, Boeschoten, Hans, Brandts, Jeannette G, van Manen, Raymond T, Krediet, Friedo W, Dekker, P F, Vos, ACS - Amsterdam Cardiovascular Sciences, Nephrology, Vascular Medicine, APH - Amsterdam Public Health, Medical Informatics, Cardiothoracic Surgery, Faculty of Behavioural, Management and Social Sciences, and University of Groningen
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Male ,CHRONIC KIDNEY-DISEASE ,medicine.medical_specialty ,medicine.medical_treatment ,Nutritional Status ,Medicine (miscellaneous) ,HEMODIALYSIS-PATIENTS ,Kaplan-Meier Estimate ,Cohort Studies ,INFLAMMATION ,Renal Dialysis ,QUALITY-OF-LIFE ,MAINTENANCE HEMODIALYSIS ,Internal medicine ,Humans ,Medicine ,Longitudinal Studies ,Prospective Studies ,Renal replacement therapy ,VALIDITY ,Prospective cohort study ,Wasting ,RENAL-REPLACEMENT THERAPY ,Dialysis ,reproductive and urinary physiology ,Aged ,Nutrition and Dietetics ,business.industry ,Proportional hazards model ,Hazard ratio ,METIS-261025 ,Middle Aged ,MALNUTRITION ,IR-76910 ,female genital diseases and pregnancy complications ,Surgery ,RELIABILITY ,Female ,TRIAL ,Hemodialysis ,medicine.symptom ,business ,Cohort study - Abstract
Background: The subjective global assessment of nutritional status (SGA) is used to assess the nutritional status of chronic dialysis patients, but longitudinal data in relation to mortality risk are lacking. Objective: Our objective was to study the long-term and time-dependent associations of the SGA with mortality risk in chronic dialysis patients. Design: In a prospective, longitudinal, observational, multicenter study of incident dialysis patients, the 7-point SGA [7 normal nutritional status; 1 = severe protein-energy wasting (PEW)] was assessed 3 and 6 mo after the start of dialysis and subsequently every 6 mo during 7 y of follow-up. With Cox regression analysis, we calculated hazard ratios (HRs) of the baseline and time-dependent SGA measurements, adjusted for age, sex, treatment modality, primary kidney diseases, and comorbidity. Results: In total, 1601 patients were included [mean (+/-SD) age: 59 +/- 15 y; 61% men; 23% with moderate PEW (SGA(4-5)), and 5% with severe PEW (SGA(1-3))]. There was a dose-dependent trend of the 7-point SGA with mortality. Compared with a normal nutritional status at baseline, SGA(4-5) (HR: 1.6; 95% CI: 1.3, 1.9) and SGA(1-3) (HR: 2.1; 95% CI: 1.5, 2.8) were associated with an increase in 7-y mortality. Time-dependently, these associations were stronger: SGA(4-5) (HR: 2.1; 95% CI: 1.7, 2.5) and SGA(1-3) (HR: 5.0; 95% CI: 3.8, 6.5). Conclusions: In dialysis patients, PEW at baseline assessed with SGA was associated with a 2-fold increased mortality risk in 7 y of follow-up. Time- dependently, this association was even stronger, which indicated that PEW was associated with a remarkably high risk of short-term mortality. These data imply that the 7-point SGA may validly distinguish different degrees of PEW associated with increasing risks of mortality. Am J Clin Nutr 2009; 89: 787-93.
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- 2009
157. Type 2 diabetes is associated with postprandial amino acid measures
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Dennis O. Mook-Kanamori, Jerzy Adamski, Ko Willems van Dijk, Martin den Heijer, Patrick C.N. Rensen, Saskia le Cessie, Karsten Suhre, Frits R. Rosendaal, Renée de Mutsert, and Cornelia Prehn
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0301 basic medicine ,Adult ,Male ,medicine.medical_specialty ,endocrine system diseases ,Epidemiology ,Biophysics ,Phenylalanine ,Biology ,Biochemistry ,Type 2 Diabetes ,Amino Acids ,Meal Response ,Metabolomics ,03 medical and health sciences ,chemistry.chemical_compound ,Insulin resistance ,Meal response ,Internal medicine ,Carnitine ,medicine ,Humans ,Molecular Biology ,chemistry.chemical_classification ,Tryptophan ,Type 2 diabetes ,Ornithine ,medicine.disease ,Postprandial Period ,Amino acid ,030104 developmental biology ,Endocrinology ,Postprandial ,chemistry ,Diabetes Mellitus, Type 2 ,Amino acids ,Female ,Leucine ,Insulin Resistance ,Sleep ,Biomarkers ,medicine.drug - Abstract
Most studies examining the association between type 2 diabetes (T2D) and amino acids have focused on fasting concentrations. We hypothesized that, besides fasting concentrations, amino acid responses to a standardized meal challenge are also associated with T2D. In a cross-sectional study of 525 participants (165 newly-diagnosed T2D, 186 newly-diagnosed impaired fasting glycaemia, and 174 normal fasting glucose), we examined postprandial amino acid concentrations and the responses (defined as the concentrations and responses 150 minutes after a standardized meal) of fourteen amino acids in relation to T2D. T2D was associated with lower postprandial concentration of seven amino acids compared to the normal fasting glucose group (lowest effect estimate for serine: -0.54 standard deviations (SD) (95% CI: -0.77, -0.32)), and higher concentrations of phenylalanine, tryptophan, tyrosine and (iso-)leucine (highest effect estimate for (iso-)leucine: 0.44 SD (95% CI: 0.20, 0.67)). Regarding the meal responses, T2D was associated with lower responses of seven amino acids (ranging from -0.55 SD ((95% CI): -0.78, -0.33) for serine to -0.25 SD ((95% CI: 0.-0.45, -0.02) for ornithine). We conclude that T2D is associated with postprandial concentrations of amino acids and a reduced amino acid meal response, indicating that these measures may also be potential markers of T2D.
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- 2016
158. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
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Sharon L.R. Kardia, Melinda Mills, Ian J. Deary, Sven Bergmann, Magnus Johannesson, Igor Rudan, Nicholas J. Timpson, Richa Gupta, Hester M. den Ruijter, Rico Rueedi, Lars Bertram, Juliette Harris, Jennifer A. Smith, Eero Kajantie, Jian Yang, David C. Liewald, Ronald de Vlaming, Anu Realo, Jessica D. Faul, Patrik K. E. Magnusson, Jadwiga Buchwald, Philip L. De Jager, Rajesh Rawal, Marisa Koini, K. Petrovic, Unnur Thorsteinsdottir, Pedro Marques-Vidal, Roy Thurik, Evie Stergiakouli, Ivana Kolcic, William G. Iacono, Laura D. Kubzansky, Jaakko Kaprio, Behrooz Z. Alizadeh, Samantha Cherney, Reinhold Schmidt, Vilmundur Gudnason, Nicholas A. Furlotte, Nicholas G. Martin, Delilah Zabaneh, Rebecca T. Emeny, Eco J. C. de Geus, Klaus Berger, Lude Franke, Sven J. van der Lee, S. Fleur W. Meddens, Bart M. L. Baselmans, Dalton Conley, Jouke-Jan Hottenga, David A. Bennett, Saskia Haitjema, Jun Ding, Elina Hyppönen, Kari Stefansson, Henning Tiemeier, Grant W. Montgomery, Michelle N. Meyer, James J. Lee, Aysu Okbay, Lei Yu, Gyda Bjornsdottir, Marie Henrike Geisel, Albertine J. Oldehinkel, Liisa Keltikangas-Järvinen, George Davey Smith, Harold Snieder, Juho Wedenoja, Frits R. Rosendaal, Michel G. Nivard, Simon R. Cox, Christine Power, Dorret I. Boomsma, Börge Schmidt, David A. Hinds, Philipp Koellinger, Harm-Jan Westra, Terho Lehtimäki, Alison Pattie, Jan-Emmanuel De Neve, Torben Hansen, John M. Starr, Albert V. Smith, Antonio Terracciano, Juergen Wellmann, Albert Hofman, Katri Räikkönen, Patrick Turley, Andrew Steptoe, Jimmy Z. Liu, Evelin Mihailov, Jari Lahti, Marika Kaakinen, David R. Weir, Cornelia M. van Duijn, Maciej Trzaskowski, David Cesarini, Najaf Amin, Lydia Quaye, Sara M. Willems, Ghazaleh Fatemifar, Christopher Oldmeadow, Ville Karhunen, Alana Cavadino, Juan R. González, Caroline Hayward, Penelope A. Lind, Tamara B. Harris, Jaime Derringer, Camelia C. Minică, Jacob Gratten, Patrick J. F. Groenen, Ozren Polasek, Anu Loukola, Peter Vollenweider, Christian Gieger, Rodney J. Scott, Lindsay K. Matteson, Meike Bartels, Andrew Bakshi, David Laibson, Andrew C. Heath, Daniel J. Benjamin, Stephen S. Rich, Claire M. A. Haworth, C.A. Hartman, Angelina R. Sutin, Tian Liu, Johan G. Eriksson, Robert Plomin, Francesco Cucca, John Attia, Tarunveer S. Ahluwalia, Andreas J. Forstner, Gudmar Thorleifsson, Rauli Svento, Ute Bültmann, Olli T. Raitakari, Karl-Heinz Jöckel, Mark Alan Fontana, Oliver S. P. Davis, Yong Qian, Anna A. E. Vinkhuyzen, Wei Zhao, Elizabeth G. Holliday, Andres Metspalu, Alexis C. Frazier-Wood, Meena Kumari, Nese Direk, Miriam A. Mosing, Ilja M. Nolte, Sander W. van der Laan, Matt McGue, Tim D. Spector, Marjo-Riitta Järvelin, Peter Eibich, Nancy L. Pedersen, David Schlessinger, Toshiko Tanaka, Dennis O. Mook-Kanamori, Luigi Ferrucci, Gerard Pasterkamp, Jonathan P. Beauchamp, Robert Karlsson, Lenore J. Launer, Helena Schmidt, Renée de Mutsert, Gert G. Wagner, Peter Kraft, Joseph K. Pickrell, Thorkild I. A. Sørensen, André G. Uitterlinden, Patricia A. Boyle, Cornelius A. Rietveld, Robert F. Krueger, Karl-Heinz Ladwig, Michael B. Miller, Sarah E. Medland, Tõnu Esko, Kent D. Taylor, Lavinia Paternoster, Peter J. van der Most, Richard Karlsson Linnér, Laura Pulkki-Råback, Gail Davies, Victoria Garfield, Shun-Chiao Chang, Ruifang Li-Gao, Applied Economics, Pathology, Epidemiology, Public Health, Child and Adolescent Psychiatry / Psychology, Psychiatry, Internal Medicine, Ophthalmology, Social Science Genetic Association Consortium (SSGAC), CHARGE Consortium, Okbay, Aysu, Baselmans, Bart ML, De Neve, Jan-Emmanuel, Turley, Patrick, Hyppönen, Elina, Cesarini, David, EMGO+ - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Complex Trait Genetics, Biological Psychology, Functional Genomics, Economics, Amsterdam Neuroscience - Complex Trait Genetics, Queensland Institute of Medical Research, Massachusetts General Hospital [Boston], University of Queensland [Brisbane], Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona] (UPF)-Catalunya ministerio de salud, Universitat Pompeu Fabra [Barcelona] (UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), Institut des Sciences Moléculaires (ISM), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure de Chimie et de Physique de Bordeaux (ENSCPB)-Université Sciences et Technologies - Bordeaux 1-Université Montesquieu - Bordeaux 4-Institut de Chimie du CNRS (INC), Tampere University Hospital, University of Turku, King‘s College London, University of Helsinki, AP-HP Hôpital universitaire Robert-Debré [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université de Lausanne (UNIL), Birmingham City University (BCU), Helmholtz-Zentrum München (HZM), Department of Epidemiology and Public Health, University College of London [London] (UCL), Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], University of Edinburgh, Florida State University [Tallahassee] (FSU), Wuhan University [China], Rush University Medical Center [Chicago], Department of Epidemiology [Rotterdam], Erasmus University Medical Center [Rotterdam] (Erasmus MC), Erasmus University Rotterdam, National Institute for Health and Welfare [Helsinki], Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Dpt of Pharmacology and Personalised Medicine [Maastricht], Maastricht University [Maastricht], Montpellier Research in Management (MRM), Université Montpellier 1 (UM1)-Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School-Université Paul-Valéry - Montpellier 3 (UPVM)-Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Perpignan Via Domitia (UPVD), Université Montesquieu - Bordeaux 4-Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure de Chimie et de Physique de Bordeaux (ENSCPB)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Université Paul-Valéry - Montpellier 3 (UPVM)-Université de Perpignan Via Domitia (UPVD)-Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School-Université de Montpellier (UM), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Public Health Research (PHR), Sociology/ICS, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), and LifeLines Cohort Study
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0301 basic medicine ,Netherlands Twin Register (NTR) ,Medizin ,Genome-wide association study ,Disease ,Genome-wide association studies ,DISEASE ,0302 clinical medicine ,well-being ,neuroticism ,Anxiety Disorders/genetics ,Bayes Theorem ,Depression/genetics ,Genome-Wide Association Study ,Humans ,Phenotype ,Polymorphism, Single Nucleotide ,Genetics & Heredity ,RISK ,Genetics ,PERSONALITY ,[QFIN]Quantitative Finance [q-fin] ,Depression ,HERITABILITY ,COMMON VARIANTS ,11 Medical And Health Sciences ,Anxiety Disorders ,Neuroticism ,depression ,Behavioural genetics ,Life Sciences & Biomedicine ,Biology ,personality ,genetic ,epidemiology ,ta3111 ,Article ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,RESOURCE ,Journal Article ,Human height ,Subjective well-being ,behavioural genetics ,METAANALYSIS ,Genetic association ,HAPPINESS ,Science & Technology ,MAJOR DEPRESSION ,06 Biological Sciences ,Heritability ,030104 developmental biology ,genome-wide association studies ,HUMAN HEIGHT ,030217 neurology & neurosurgery ,LifeLines Cohort Study ,Developmental Biology ,genome-wide analysis - Abstract
Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (vertical bar(p) over cap vertical bar approximate to 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.
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- 2016
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159. Obesity, Smoking, and Physical Inactivity as Risk Factors for CKD: Are Men More Vulnerable?
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Stein Hallan, Jostein Holmen, Knut Aasarød, Renée de Mutsert, Sven M. Carlsen, and Friedo W. Dekker
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Male ,medicine.medical_specialty ,Cross-sectional study ,Population ,Renal function ,Physical exercise ,Motor Activity ,urologic and male genital diseases ,Sex Factors ,Risk Factors ,Internal medicine ,Epidemiology ,medicine ,Humans ,Obesity ,Sex Distribution ,Risk factor ,education ,Aged ,education.field_of_study ,business.industry ,Smoking ,Middle Aged ,medicine.disease ,Cross-Sectional Studies ,Endocrinology ,Nephrology ,Relative risk ,Chronic Disease ,Female ,Kidney Diseases ,business ,Kidney disease - Abstract
The incidence of end-stage renal disease is especially high in men, and some studies indicated that smoking is a risk factor for men only. We investigated associations between obesity, smoking, and physical inactivity and chronic kidney disease (CKD) in the general population and whether risk for CKD was restricted to men.This was a cross-sectional health survey of the entire adult population of Nord-Trondelag County, Norway, 1995 to 1997, with a 70.6% participation rate. Glomerular filtration rate (GFR) was estimated in all subjects 20 years and older from calibrated serum creatinine levels by using the simplified Modification of Diet in Renal Disease Study formula, and CKD cases are defined as those with a GFR less than 45 mL/min/1.73 m2 (0.75 mL/s).A total of 30,485 men and 34,708 women were included, and prevalences of GFR less than 45 mL/min/1.73 m2 (0.75 mL/s) were 0.8% and 1.1%, respectively. Age- and sex-adjusted logistic regression analyses showed dose-response relations for body mass index, smoking history, and physical activity. Relative risks were 1.77 (95% confidence interval [CI], 1.47 to 2.14) for obesity (body mass indexor = 30 kg/m2), 1.52 (95% CI, 1.13 to 2.06) for smoking (25 pack-years), and 2.14 (95% CI, 1.39 to 3.30) for physical inactivity (no or some physical activity in leisure time). For subjects with all these risk factors, relative risk was 5.10 (95% CI, 2.36 to 11.01). These results remained significant after adjusting for other known risk factors. No biological interactions between sex and obesity, smoking, or physical activity were found.Obesity, smoking, and physical inactivity were associated significantly with CKD. Men were not more susceptible to these risk factors than women.
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- 2006
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160. Genome-wide analysis identifies 12 loci influencing human reproductive behavior
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Ozren Polasek, Bo Jacobsson, Eleonora Porcu, Vinicius Tragante, Joel Eriksson, Jie Yao, Mika Kähönen, Mark Alan Fontana, Stefania Cappellani, J. Viikari, Rick Jansen, Crysovalanto Mamasoula, Linda Broer, Tamara B. Harris, Ellen A. Nohr, Genevieve Lachance, Johan G. Eriksson, Nicholas Eriksson, Rico Rueedi, Francesco Cucca, Jaakko Kaprio, Nicholas J. Timpson, George Dedoussis, Matt McGue, Per Magnus, Klaus Berger, Olli T. Raitakari, Cornelia M. van Duijn, Brenda W.J.H. Penninx, Jing Hua Zhao, Peter Eibich, Sheila Ulivi, Hugoline G. de Haan, Ronny Myhre, Ruth McQuillan, Florian Kronenberg, Markus Perola, Klaus Bønnelykke, Robert Karlsson, Martina La Bianca, Paul Mitchell, Ian J. Deary, Melinda Mills, Teresa Nutile, Patrick J. F. Groenen, Stacey A. Missmer, Nicholas G. Martin, Panos Deloukas, Mario Pirastu, Lindsay K. Matteson, Robert Luben, Veikko Salomaa, Renée de Mutsert, Chris Power, Nir Barzilai, Annette Kifley, Hamdi Mbarek, Denis A. Evans, Erica P. Gunderson, Tim D. Spector, Anke Tönjes, Michela Traglia, Claire Monnereau, Karin Halina Greiser, Sharon L.R. Kardia, John M. Starr, Peter K. Joshi, Sandra Lai, Doris Stöckl, James J. Lee, Heather J. Cordell, Andrew Bakshi, Nicholas J. Wareham, David C. Liewald, P Koponen, Paul M. Ridker, Joyce Y. Tung, Ilaria Gandin, Kauko Heikkilä, Johannes Haerting, Gonneke Willemsen, Janet W. Rich-Edwards, Andrew C. Heath, Astanand Jugessur, John L. Hopper, Stefan Kiechl, Henry Völzke, Daniela Ruggiero, John R. B. Perry, Dan Mellström, Simon R. Cox, Yasaman Saba, Magnus Johannesson, Ginevra Biino, David Schlessinger, Kirsi Auro, Dennis O. Mook-Kanamori, Christa Meisinger, Igor Rudan, Audrey J. Gaskins, Lars Bertram, Roy Thurik, Laura M. Yerges-Armstrong, Caterina Barbieri, Katri Räikkönen, Lawrence F. Bielak, Aviv Bergman, Philipp Koellinger, Ronald de Vlaming, Tian Liu, Johannes W. A. Smit, Peter Kovacs, Vincent W. V. Jaddoe, Jennifer A. Smith, Sven Bergmann, Inga Prokopenko, Xiuqing Guo, Marina Ciullo, Krina T. Zondervan, Marcel den Hoed, Daniel J. Benjamin, Kathryn Roll, Alan F. Wright, Helena Schmidt, William G. Iacono, Jie Jin Wang, Harold Snieder, Juho Wedenoja, Tarunveer S. Ahluwalia, David R. Weir, Ken K. Ong, Daniela Toniolo, Ruifang Li-Gao, Evelin Mihailov, Edith Hofer, Leslie J. Raffel, Daniel I. Chasman, Alexander Kluttig, Bernard Keavney, Eco J. C. de Geus, Kathleen A. Ryan, Kristin L. Ayers, Lude Franke, S. Fleur W. Meddens, Alison Pattie, Jornt J. Mandemakers, Eva Albrecht, David Cesarini, Beverley Balkau, Grant W. Montgomery, Michael Stumvoll, Ahmad Vaez, Michael B. Miller, Najaf Amin, Gyda Bjornsdottir, Cecile Lecoeur, Enes Makalic, Marc Jan Bonder, Terho Lehtimäki, Albert Hofman, Loic Yengo, Lynda M. Rose, Lisette Stolk, Juergen Wellmann, Gail Davies, Eero Kajantie, Nicole Schupf, Hans Bisgaard, Unnur Thorsteinsdottir, Konstantin Strauch, Ivana Kolcic, Lili Milani, Chunyan He, Claes Ohlsson, Yongmei Liu, Gil Atzmon, Janine F. Felix, Christian Gieger, Mike A. Nalls, Riitta Luoto, Nicola Barban, Philippe Froguel, Daniel F. Schmidt, Dorret I. Boomsma, Harry Campbell, Xia Shen, Vasiliki Lagou, Danny Ben-Avraham, Veronique Vitart, Ioanna P. Kalafati, Kari Stefansson, Daria V. Zhernakova, Constance Turman, Julie E. Buring, Johannes Waage, James F. Wilson, Maria Pina Concas, Zoltán Kutalik, Peter Willeit, Jørn Olsen, Dan Rujescu, Caroline Hayward, Penelope A. Lind, George McMahon, Elizabeth G. Holliday, Ilja M. Nolte, Fahimeh Falahi, Minh Bui, Gudmar Thorleifsson, Patrick F. McArdle, Cinzia Sala, Alana Cavadino, Rossella Sorice, Wei Zhao, Andres Metspalu, Sander W. van der Laan, Stavroula Kanoni, Elina Hyppönen, Morris A. Swertz, Simona Vaccargiu, Felix C. Tropf, Michael Lucht, Susan M. Ring, Elizabeth A. Streeten, Reinhold Schmidt, Augustine Kong, Johann Willeit, Patricia A. Peyser, Jessica D. Faul, Patrik K. E. Magnusson, Tõnu Esko, Antonietta Robino, Lavinia Paternoster, Peter J. van der Most, Kumar B. Rajan, George Davey-Smith, Dragana Vuckovic, Hans J. Grabe, Jari Lahti, Giorgia Girotto, Jorge E. Chavarro, Robert F. Krueger, Hongyan Huang, Georg Homuth, Paolo Gasparini, Sarah E. Medland, Gert G. Wagner, Peter Kraft, André G. Uitterlinden, Cornelius A. Rietveld, Howard Andrews, Cecilia M. Lindgren, Peter Vollenweider, Perry, John [0000-0001-6483-3771], Zhao, Jing Hua [0000-0003-4930-3582], Luben, Robert [0000-0002-5088-6343], Ong, Kenneth [0000-0003-4689-7530], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, BARBAN N, Rick Jansen, Ronald de Vlaming, Ahmad Vaez, Jornt J Mandemaker, Felix C Tropf, Xia Shen, James F Wilson, Daniel I Chasman, Ilja M Nolte, Vinicius Tragante, Sander W van der Laan, John R B Perry, Augustine Kong, BIOS Consortium, Tarunveer S Ahluwalia, Eva Albrecht, Laura Yerges-Armstrong, Gil Atzmon, Kirsi Auro, Kristin Ayer, Andrew Bakshi, Danny Ben-Avraham, Klaus Berger, Aviv Bergman, Lars Bertram, Lawrence F Bielak, Gyda Bjornsdottir, Marc Jan Bonder, Linda Broer, Minh Bui, Caterina Barbieri, Alana Cavadino, Jorge E Chavarro, Constance Turman, Maria Pina Conca, Heather J Cordell, Gail Davie, Peter Eibich, Nicholas Eriksson, Tõnu Esko, Joel Eriksson, Fahimeh Falahi, Janine F Felix, Mark Alan Fontana, Lude Franke, Ilaria Gandin, Audrey J Gaskin, Christian Gieger, Erica P Gunderson, Xiuqing Guo, Caroline Hayward, Chunyan He, Edith Hofer, Hongyan Huang, Peter K Joshi, Stavroula Kanoni, Robert Karlsson, Stefan Kiechl, Annette Kifley, Alexander Kluttig, Peter Kraft, Vasiliki Lagou, Cecile Lecoeur, Jari Lahti, Ruifang Li-Gao, Penelope A Lind, Tian Liu, Enes Makalic, Crysovalanto Mamasoula, Lindsay Matteson, Hamdi Mbarek, Patrick F McArdle, George McMahon, S Fleur W Medden, Evelin Mihailov, Mike Miller, Stacey A Missmer, Claire Monnereau, Peter J van der Most, Ronny Myhre, Mike A Nall, Teresa Nutile, Ioanna Panagiota Kalafati, Eleonora Porcu, Inga Prokopenko, Kumar B Rajan, Janet Rich-Edward, Cornelius A Rietveld, Antonietta Robino, Lynda M Rose, Rico Rueedi, Kathleen A Ryan, Yasaman Saba, Daniel Schmidt, Jennifer A Smith, Lisette Stolk, Elizabeth Streeten, Anke Tönje, Gudmar Thorleifsson, Sheila Ulivi, Juho Wedenoja, Juergen Wellmann, Peter Willeit, Jie Yao, Loic Yengo, Jing Hua Zhao, Wei Zhao, Daria V Zhernakova, Najaf Amin, Howard Andrew, Beverley Balkau, Nir Barzilai, Sven Bergmann, Ginevra Biino, Hans Bisgaard, Klaus Bønnelykke, Dorret I Boomsma, Julie E Buring, Harry Campbell, Stefania Cappellani, Marina Ciullo, Simon R Cox, Francesco Cucca, Daniela Toniolo, George Davey-Smith, Ian J Deary, George Dedoussi, Panos Delouka, Cornelia M van Duijn, Eco J C de Geu, Johan G Eriksson, Denis A Evan, Jessica D Faul, Cinzia Felicita Sala, Philippe Froguel, Paolo Gasparini, Giorgia Girotto, Hans-Jörgen Grabe, Karin Halina Greiser, Patrick J F Groenen, Hugoline G de Haan, Johannes Haerting, Tamara B Harri, Andrew C Heath, Kauko Heikkilä, Albert Hofman, Georg Homuth, Elizabeth G Holliday, John Hopper, Elina Hyppönen, Bo Jacobsson, Vincent W V Jaddoe, Magnus Johannesson, Astanand Jugessur, Mika Kähönen, Eero Kajantie, Sharon L R Kardia, Bernard Keavney, Ivana Kolcic, Päivikki Koponen, Peter Kovac, Florian Kronenberg, Zoltan Kutalik, Martina La Bianca, Genevieve Lachance, William G Iacono, Sandra Lai, Terho Lehtimäki, David C Liewald, LifeLines Cohort Study, Cecilia M Lindgren, Yongmei Liu, Robert Luben, Michael Lucht, Riitta Luoto, Per Magnu, Patrik K E Magnusson, Nicholas G Martin, Matt McGue, Ruth McQuillan, Sarah E Medland, Christa Meisinger, Dan Mellström, Andres Metspalu, Michela Traglia, Lili Milani, Paul Mitchell, Grant W Montgomery, Dennis Mook-Kanamori, Renée de Mutsert, Ellen A Nohr, Claes Ohlsson, Jørn Olsen, Ken K Ong, Lavinia Paternoster, Alison Pattie, Brenda W J H Penninx, Markus Perola, Patricia A Peyser, Mario Pirastu, Ozren Polasek, Chris Power, Jaakko Kaprio, Leslie J Raffel, Katri Räikkönen, Olli Raitakari, Paul M Ridker, Susan M Ring, Kathryn Roll, Igor Rudan, Daniela Ruggiero, Dan Rujescu, Veikko Salomaa, David Schlessinger, Helena Schmidt, Reinhold Schmidt, Nicole Schupf, Johannes Smit, Rossella Sorice, Tim D Spector, John M Starr, Doris Stöckl, Konstantin Strauch, Michael Stumvoll, Morris A Swertz, Unnur Thorsteinsdottir, A Roy Thurik, Nicholas J Timpson, Joyce Y Tung, André G Uitterlinden, Simona Vaccargiu, Jorma Viikari, Veronique Vitart, Henry Völzke, Peter Vollenweider, Dragana Vuckovic, Johannes Waage, Gert G Wagner, Jie Jin Wang, Nicholas J Wareham, David R Weir, Gonneke Willemsen, Johann Willeit, Alan F Wright, Krina T Zondervan, Kari Stefansson, Robert F Krueger, James J Lee, Daniel J Benjamin, David Cesarini, Philipp D Koellinger, Marcel den Hoed, Harold Snieder & Melinda C Mills, Barban, N, Jansen, R, de Vlaming, R, Vaez, A, Mandemakers, Jj, Tropf, Fc, Shen, X, Wilson, Jf, Chasman, Di, Nolte, Im, Tragante, V, van der Laan, Sw, Perry, Jr, Kong, A, Ahluwalia, T, Albrecht, E, Yerges Armstrong, L, Atzmon, G, Auro, K, Ayers, K, Bakshi, A, Ben Avraham, D, Berger, K, Bergman, A, Bertram, L, Bielak, Lf, Bjornsdottir, G, Bonder, Mj, Broer, L, Bui, M, Barbieri, CATERINA MARIA, Cavadino, A, Chavarro, Je, Turman, C, Concas, MARIA PINA, Cordell, Hj, Davies, G, Eibich, P, Eriksson, N, Esko, T, Eriksson, J, Falahi, F, Felix, Jf, Fontana, Ma, Franke, L, Gandin, Ilaria, Gaskins, Aj, Gieger, C, Gunderson, Ep, Guo, X, Hayward, C, He, C, Hofer, E, Huang, H, Joshi, Pk, Kanoni, S, Karlsson, R, Kiechl, S, Kifley, A, Kluttig, A, Kraft, P, Lagou, V, Lecoeur, C, Lahti, J, Li Gao, R, Lind, Pa, Liu, T, Makalic, E, Mamasoula, C, Matteson, L, Mbarek, H, Mcardle, Pf, Mcmahon, G, Meddens, Sf, Mihailov, E, Miller, M, Missmer, Sa, Monnereau, C, van der Most, Pj, Myhre, R, Nalls, Ma, Nutile, T, Kalafati, Ip, Porcu, E, Prokopenko, I, Rajan, Kb, Rich Edwards, J, Rietveld, Ca, Robino, Antonietta, Rose, Lm, Rueedi, R, Ryan, Ka, Saba, Y, Schmidt, D, Smith, Ja, Stolk, L, Streeten, E, Tönjes, A, Thorleifsson, G, Ulivi, Sheila, Wedenoja, J, Wellmann, J, Willeit, P, Yao, J, Yengo, L, Zhao, Jh, Zhao, W, Zhernakova, Dv, Amin, N, Andrews, H, Balkau, B, Barzilai, N, Bergmann, S, Biino, G, Bisgaard, H, Bønnelykke, K, Boomsma, Di, Buring, Je, Campbell, H, Cappellani, Stefania, Ciullo, M, Cox, Sr, Cucca, F, Toniolo, D, Davey Smith, G, Deary, Ij, Dedoussis, G, Deloukas, P, van Duijn, Cm, de Geus, Ej, Eriksson, Jg, Evans, Da, Faul, Jd, Sala, Cf, Froguel, P, Gasparini, Paolo, Girotto, Giorgia, Grabe, Hj, Greiser, Kh, Groenen, Pj, de Haan, Hg, Haerting, J, Harris, Tb, Heath, Ac, Heikkilä, K, Hofman, A, Homuth, G, Holliday, Eg, Hopper, J, Hyppönen, E, Jacobsson, B, Jaddoe, Vw, Johannesson, M, Jugessur, A, Kähönen, M, Kajantie, E, Kardia, Sl, Keavney, B, Kolcic, I, Koponen, P, Kovacs, P, Kronenberg, F, Kutalik, Z, LA BIANCA, Martina, Lachance, G, Iacono, Wg, Lai, S, Lehtimäki, T, Liewald, Dc, Lindgren, Cm, Liu, Y, Luben, R, Lucht, M, Luoto, R, Magnus, P, Magnusson, Pk, Martin, Ng, Mcgue, M, Mcquillan, R, Medland, Se, Meisinger, C, Mellström, D, Metspalu, A, Traglia, Michela, Milani, L, Mitchell, P, Montgomery, Gw, Mook Kanamori, D, de Mutsert, R, Nohr, Ea, Ohlsson, C, Olsen, J, Ong, Kk, Paternoster, L, Pattie, A, Penninx, Bw, Perola, M, Peyser, Pa, Pirastu, M, Polasek, O, Power, C, Kaprio, J, Raffel, Lj, Räikkönen, K, Raitakari, O, Ridker, Pm, Ring, Sm, Roll, K, Rudan, I, Ruggiero, D, Rujescu, D, Salomaa, V, Schlessinger, D, Schmidt, H, Schmidt, R, Schupf, N, Smit, J, Sorice, R, Spector, Td, Starr, Jm, Stöckl, D, Strauch, K, Stumvoll, M, Swertz, Ma, Thorsteinsdottir, U, Thurik, Ar, Timpson, Nj, Tung, Jy, Uitterlinden, Ag, Vaccargiu, S, Viikari, J, Vitart, V, Völzke, H, Vollenweider, P, Vuckovic, Dragana, Waage, J, Wagner, Gg, Wang, Jj, Wareham, Nj, Weir, Dr, Willemsen, G, Willeit, J, Wright, Af, Zondervan, Kt, Stefansson, K, Krueger, Rf, Lee, Jj, Benjamin, Dj, Cesarini, D, Koellinger, Pd, den Hoed, M, Snieder, H, Mills, Mc, Sociology/ICS, Life Course Epidemiology (LCE), Isotope Research, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Barban, Nicola, Jansen, Rick, De Vlaming, Ronald, Vaez, Ahmad, Hyppönen, Elina, Mills, Melinda C, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, EMGO - Mental health, Applied Economics, Public Health, Internal Medicine, Erasmus MC other, Epidemiology, Econometrics, Pediatrics, EMGO+ - Lifestyle, Overweight and Diabetes, Complex Trait Genetics, and Biological Psychology
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0301 basic medicine ,Netherlands Twin Register (NTR) ,PROTEIN ,WASS ,Genome-wide association study ,Reproductive Behavior ,MOUSE ,Genome-wide association studies ,GWAS ,reproductive behavior ,fertility ,0302 clinical medicine ,G1 PHASE ,Pregnancy ,Genetics & Heredity ,Genetics ,HUMAN-DISEASES ,Reproduction ,Human Reproduction ,11 Medical And Health Sciences ,ASSOCIATION ,Genome-Wide ,POLYCYSTIC-OVARY-SYNDROME ,Sociologie van Consumptie en Huishoudens ,Parity ,Phenotype ,Behavioural genetics ,Medical genetics ,Female ,BIOS Consortium ,FOS: Medical biotechnology ,Life Sciences & Biomedicine ,Maternal Age ,Infertility ,medicine.medical_specialty ,GENE PRIORITIZATION ,Quantitative Trait Loci ,Sociology of Consumption and Households ,Quantitative trait locus ,Biology ,Polymorphism, Single Nucleotide ,Article ,03 medical and health sciences ,AGE ,QUALITY-CONTROL ,medicine ,Journal Article ,Life Science ,SNP ,Humans ,gene ,reproductive ,behaviour ,Science & Technology ,ta1184 ,06 Biological Sciences ,medicine.disease ,Genetic architecture ,human reproductive behavior ,030104 developmental biology ,Fertility ,Human genome ,Birth Order ,030217 neurology & neurosurgery ,LifeLines Cohort Study ,Developmental Biology ,genome-wide analysis ,Genome-Wide Association Study - Abstract
Barban N, Jansen R, de Vlaming R, Vaez A, Mandemakers JJ, Tropf FC, Shen X, Wilson JF, Chasman DI, Nolte IM, Tragante V, van der Laan SW, Perry JR, Kong A; BIOS Consortium, Ahluwalia TS, Albrecht E, Yerges-Armstrong L, Atzmon G, Auro K, Ayers K, Bakshi A, Ben-Avraham D, Berger K, Bergman A, Bertram L, Bielak LF, Bjornsdottir G, Bonder MJ, Broer L, Bui M, Barbieri C, Cavadino A, Chavarro JE, Turman C, Concas MP, Cordell HJ, Davies G, Eibich P, Eriksson N, Esko T, Eriksson J, Falahi F, Felix JF, Fontana MA, Franke L, Gandin I, Gaskins AJ, Gieger C, Gunderson EP, Guo X, Hayward C, He C, Hofer E, Huang H, Joshi PK, Kanoni S, Karlsson R, Kiechl S, Kifley A, Kluttig A, Kraft P, Lagou V, Lecoeur C, Lahti J, Li-Gao R, Lind PA, Liu T, Makalic E, Mamasoula C, Matteson L, Mbarek H, McArdle PF, McMahon G, Meddens SF, Mihailov E, Miller M, Missmer SA, Monnereau C, van der Most PJ, Myhre R, Nalls MA, Nutile T, Kalafati IP, Porcu E, Prokopenko I, Rajan KB, Rich-Edwards J, Rietveld CA, Robino A, Rose LM, Rueedi R, Ryan KA, Saba Y, Schmidt D, Smith JA, Stolk L, Streeten E, Tönjes A, Thorleifsson G, Ulivi S, Wedenoja J, Wellmann J, Willeit P, Yao J, Yengo L, Zhao JH, Zhao W, Zhernakova DV, Amin N, Andrews H, Balkau B, Barzilai N, Bergmann S, Biino G, Bisgaard H, Bønnelykke K, Boomsma DI, Buring JE, Campbell H, Cappellani S, Ciullo M, Cox SR, Cucca F, Toniolo D, Davey-Smith G, Deary IJ, Dedoussis G, Deloukas P, van Duijn CM, de Geus EJ, Eriksson JG, Evans DA, Faul JD, Sala CF, Froguel P, Gasparini P, Girotto G, Grabe HJ, Greiser KH, Groenen PJ, de Haan HG, Haerting J, Harris TB, Heath AC, Heikkilä K, Hofman A, Homuth G, Holliday EG, Hopper J, Hyppönen E, Jacobsson B, Jaddoe VW, Johannesson M, Jugessur A, Kähönen M, Kajantie E, Kardia SL, Keavney B, Kolcic I, Koponen P, Kovacs P, Kronenberg F, Kutalik Z, La Bianca M, Lachance G, Iacono WG, Lai S, Lehtimäki T, Liewald DC; LifeLines Cohort Study, Lindgren CM, Liu Y, Luben R, Lucht M, Luoto R, Magnus P, Magnusson PK, Martin NG, McGue M, McQuillan R, Medland SE, Meisinger C, Mellström D, Metspalu A, Traglia M, Milani L, Mitchell P, Montgomery GW, Mook-Kanamori D, de Mutsert R, Nohr EA, Ohlsson C, Olsen J, Ong KK, Paternoster L, Pattie A, Penninx BW, Perola M, Peyser PA, Pirastu M, Polasek O, Power C, Kaprio J, Raffel LJ, Räikkönen K, Raitakari O, Ridker PM, Ring SM, Roll K, Rudan I, Ruggiero D, Rujescu D, Salomaa V, Schlessinger D, Schmidt H, Schmidt R, Schupf N, Smit J, Sorice R, Spector TD, Starr JM, Stöckl D, Strauch K, Stumvoll M, Swertz MA, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tung JY, Uitterlinden AG, Vaccargiu S, Viikari J, Vitart V, Völzke H, Vollenweider P, Vuckovic D, Waage J, Wagner GG, Wang JJ, Wareham NJ, Weir DR, Willemsen G, Willeit J, Wright AF, Zondervan KT, Stefansson K, Krueger RF, Lee JJ, Benjamin DJ, Cesarini D, Koellinger PD, den Hoed M, Snieder H, Mills MC.
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- 2016
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161. Metabolic syndrome is associated with electrocardiographic markers of subclinical cardiovascular disease
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Hildo J. Lamb, Renée de Mutsert, Arie C. Maan, Peter W. Macfarlane, Frits R. Rosendaal, J. Wouter Jukema, T. Dorine W. Elffers, J.A.P. Ko Willems Van Dijk, and Stella Trompet
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medicine.medical_specialty ,business.industry ,Internal medicine ,medicine ,Cardiology ,Disease ,Metabolic syndrome ,Cardiology and Cardiovascular Medicine ,medicine.disease ,business ,Subclinical infection - Published
- 2017
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162. No association between CETP concentration and intima media thickness in the general population: The Neo study
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Stella Trompet, J. Wouter Jukema, Raymond Noordam, K. Willems van Dijk, Frits R. Rosendaal, Tim Christen, Lisanne L. Blauw, Renée de Mutsert, and Patrick C.N. Rensen
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medicine.medical_specialty ,education.field_of_study ,Endocrinology ,Intima-media thickness ,business.industry ,Internal medicine ,Population ,Medicine ,Cardiology and Cardiovascular Medicine ,business ,education - Published
- 2017
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163. Reproducibility of exhaled nitric oxide measurements in overweight and obese adults
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Saskia Middeldorp, Pieter S. Hiemstra, Willemien Thijs, Saskia le Cessie, Renée de Mutsert, Frits R. Rosendaal, Klaus F. Rabe, Amsterdam Cardiovascular Sciences, and Vascular Medicine
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Adult ,Male ,medicine.medical_specialty ,Pathology ,Intraclass correlation ,Short Report ,Overweight ,Nitric Oxide ,General Biochemistry, Genetics and Molecular Biology ,Nitric oxide ,Exhaled nitric oxide ,chemistry.chemical_compound ,Internal medicine ,medicine ,Humans ,Lung volumes ,Obesity ,Aged ,Netherlands ,Medicine(all) ,Reproducibility ,Biochemistry, Genetics and Molecular Biology(all) ,business.industry ,Exhalation ,Reproducibility of Results ,General Medicine ,Middle Aged ,chemistry ,Breath Tests ,Cardiology ,Female ,medicine.symptom ,business ,Body mass index - Abstract
Background Exhaled nitric oxide is a noninvasive measure of airway inflammation that can be detected by a handheld device. Obesity may influence the reproducibility of exhaled nitric oxide measurements, by - for instance – decreased expiratory reserve volume. Findings We analyzed triple exhaled nitric oxide measurements from 553 participants (aged 45 to 65 years with a body mass index ≥27 kg/m2) of the Netherlands Epidemiology of Obesity Study. The interclass correlation coefficient (single measurement reliability) was 0.965 (95% CI: 0.960, 0.970). Conclusions We conclude that for assessment of exhaled nitric oxide in large cohorts of overweight and obese adults a single measurement suffices.
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- 2014
164. Do knee osteoarthritis and fat-free mass interact in their impact on health-related quality of life in men? Results from a population-based cohort
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A Willemien, Visser, Renée, de Mutsert, Johannes L, Bloem, Monique, Reijnierse, Hanako, Kazato, Saskia, le Cessie, Martin, den Heijer, Frits R, Rosendaal, Margreet, Kloppenburg, and Brenda W, Penninx
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Male ,Health Status ,Middle Aged ,Osteoarthritis, Knee ,Body Mass Index ,Cohort Studies ,Risk Factors ,Population Surveillance ,Quality of Life ,Humans ,Female ,Obesity ,Prospective Studies ,Netherlands - Abstract
To investigate whether obesity and other risk factors interact with knee osteoarthritis (OA) in its adverse impact on health-related quality of life (HRQOL).In 1,262 participants of the Netherlands Epidemiology of Obesity Study, a population-based cohort (age 45-65 years, 53% women, and median body mass index [BMI] 27 kg/m(2) ), knee OA was defined following modified American College of Rheumatology criteria. BMI and fat-free mass (as proxy for muscle mass) were assessed by bioelectrical impedance analysis, and comorbidities by self-report. HRQOL was assessed using the Short Form 36 physical component summary (PCS) score. Linear regression analyses were performed to examine associations between knee OA and PCS score, adjusting for age and sex and stratified for BMI, fat-free mass, and comorbidities.Knee OA (prevalence 16%) was associated with a 7.2-points lower PCS score (95% confidence interval -9.5, -4.8). PCS score was also negatively associated with obesity and comorbidities; however, no interaction with knee OA was seen. Low fat-free mass was associated with a lower PCS score and interacted with knee OA in men. Interaction between concurring OA and low fat-free mass attributed to 64% of the decrease in PCS score, as compared with men without OA and with high fat-free mass.Knee OA was associated with a lower HRQOL, as were its risk factors, obesity, comorbidities, and low fat-free mass. In men, fat-free mass interacted with knee OA, leading to an additional decrease of HRQOL in the case of concurrence. Especially in the former, improvement of fat-free mass may improve HRQOL in knee OA patients.
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- 2014
165. Overweight in Early Adulthood, Adult Weight Change, and Risk of Type 2 Diabetes, Cardiovascular Diseases, and Certain Cancers in Men: a Cohort Study
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Walter C. Willett, Renée de Mutsert, Rob M. van Dam, Qi Sun, and Frank B. Hu
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Adult ,Male ,medicine.medical_specialty ,Original Contributions ,Type 2 diabetes ,Overweight ,Weight Gain ,Body Mass Index ,cardiovascular disease ,Risk Factors ,Diabetes mellitus ,Internal medicine ,Neoplasms ,Surveys and Questionnaires ,Medicine ,Humans ,Obesity ,Prospective Studies ,Aged ,Proportional Hazards Models ,business.industry ,Incidence ,Weight change ,Hazard ratio ,Middle Aged ,medicine.disease ,mortality ,Health Surveys ,Endocrinology ,Diabetes Mellitus, Type 2 ,Cardiovascular Diseases ,diabetes mellitus ,Chronic Disease ,epidemiology ,medicine.symptom ,business ,Weight gain ,Body mass index ,Cohort study ,Follow-Up Studies - Abstract
The relative importance of overweight after childhood and excess weight gain during adulthood remains unclear. In 39,909 male participants of the Health Professionals Follow-Up Study who were 40-75 years of age in 1986 and were followed until 2008, we documented 8,755 incident cases of obesity-related chronic diseases (type 2 diabetes mellitus, cardiovascular diseases, and colorectal, renal, pancreatic, and esophageal cancers). We calculated composite and cause-specific hazard ratios using a model that included body mass index (BMI; weight (kg)/height (m)(2)) at 21 years of age, weight change since age 21 years, smoking, alcohol consumption, and family histories of myocardial infarction, colon cancer, and diabetes. Compared with a BMI at 21 years of 18.5-22.9, the composite hazard ratio for a BMI of 23-24.9 was 1.22 (95% confidence interval (CI): 1.16, 1.29), that for a BMI of 25.0-27.4 was 1.57 (95% CI: 1.48, 1.67), that for a BMI of 27.5-29.9 was 2.40 (95% CI: 2.17, 2.65), and that for a BMI ≥30.0 was 3.15 (95% CI: 2.76, 3.60). The composite hazard ratios for adult weight gain compared with a stable weight were 1.12 (95% CI: 1.03, 1.22) for a gain of 2.5-4.9 kg, 1.41 (95% CI: 1.31, 1.52) for a gain of 5-9.9 kg, 1.72 (95% CI: 1.59, 1.86) for a gain of 10-14.9 kg, and 2.45 (95% CI: 2.27, 2.63) for a gain ≥15 kg. Adiposity in early adulthood and adult weight gain were both associated with marked increases in the risk of major chronic diseases in middle-aged and older men, and these associations were already apparent at modest levels of overweight and weight gain.
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- 2014
166. Body fat, especially visceral fat, is associated with electrocardiographic measures of sympathetic activation
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Stefanie, Hillebrand, Renée, de Mutsert, Tim, Christen, Arie C, Maan, J Wouter, Jukema, Hildo J, Lamb, Albert, de Roos, Frits R, Rosendaal, Martin, den Heijer, and Cees A, Swenne
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Male ,Intra-Abdominal Fat ,Middle Aged ,Magnetic Resonance Imaging ,Body Mass Index ,Radiography ,Electrocardiography ,Cross-Sectional Studies ,Sex Factors ,Cardiovascular Diseases ,Heart Rate ,Surveys and Questionnaires ,Multivariate Analysis ,Linear Models ,Humans ,Female ,Obesity ,Netherlands - Abstract
Obesity is associated with sympathetic activation, but the role of different fat depots is unclear. The association between body fat, specifically visceral fat, and electrocardiographic measures of sympathetic activation in a population with structurally normal hearts was investigated.In this cross-sectional baseline analysis of the Netherlands Epidemiology of Obesity study, body fat percentage was assessed with BIA and abdominal subcutaneous (SAT) and visceral adipose tissue (VAT) with magnetic resonance (MR) imaging. Mean heart rate (HR) and five other electrocardiographic measures of sympathetic activation were calculated. We performed multivariate linear regression analyses.In 868 participants with a mean age(SD) of 55(6) years, BMI of 26(4) kg/m(2) , 47% men, body fat was associated with HR and two other measures of sympathetic activation. Per sex-specific SD total body fat, the difference in HR was 1.9 beats/min (95% CI: 1.0, 2.9; P 0.001) and per SD waist circumference 2.1 beats/min (95% CI: 1.3, 2.9; P 0.001). The difference in HR per SD VAT was 2.1 beats/min (95% CI: 1.3, 3.0; P 0.001).Body fat, especially visceral fat, was associated with electrocardiographic measures of sympathetic activation. Our study implies that already before the onset of cardiovascular disease, excess (visceral) body fat is associated with sympathetic activation.
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- 2013
167. The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection
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Johan Wouter Jukema, Ton J. Rabelink, Renée de Mutsert, J. W. A. Smit, Johannes A. Romijn, Saskia Middeldorp, Christa M. Cobbaert, Albert de Roos, Frits R. Rosendaal, Margreet Kloppenburg, Saskia le Cessie, Martin den Heijer, Internal medicine, EMGO - Lifestyle, overweight and diabetes, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, General Internal Medicine, ACS - Amsterdam Cardiovascular Sciences, and Vascular Medicine
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Male ,medicine.medical_specialty ,Epidemiology ,Disease ,Overweight ,Internal medicine ,Surveys and Questionnaires ,medicine ,Humans ,Prospective Studies ,Obesity ,Risk factor ,Prospective cohort study ,Life Style ,Health aging / healthy living Cardiovascular diseases [IGMD 5] ,Aged ,Netherlands ,Metabolic Syndrome ,Cardiovascular diseases [NCEBP 14] ,Anthropometry ,business.industry ,Data Collection ,Diabetes ,Cohort ,Study design ,Middle Aged ,medicine.disease ,Cardiovascular disease ,Surgery ,Phenotype ,Epidemiology of obesity ,Diabetes Mellitus, Type 2 ,Cardiovascular Diseases ,Population Surveillance ,Female ,medicine.symptom ,business - Abstract
Contains fulltext : 157281.pdf (Publisher’s version ) (Closed access) Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45-65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies.
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- 2013
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168. Interaction on an Additive Scale
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Renée de Mutsert, Kitty J Jager, Dinanda J. de Jager, Carmine Zoccali, Friedo W. Dekker, Amsterdam Cardiovascular Sciences, Amsterdam Public Health, and Medical Informatics
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medicine.medical_specialty ,Models, Statistical ,Interaction ,business.industry ,Epidemiology ,Incidence (epidemiology) ,General Medicine ,Disease ,Joint exposure ,Causality ,Epidemiologic Studies ,Risk factors ,Nephrology ,Scale (social sciences) ,Environmental health ,medicine ,Humans ,Risk factor ,business - Abstract
Many clinical epidemiological studies investigate whether a certain exposure, or risk factor, is associated with the incidence of disease or mortality. It may be of interest to study whether this association is different in different types of patients, or to study joint effects. To investigate whether the effect of one risk factor differs across the strata of another risk factor, the presence of interaction among two risk factors can be examined. In statistics, interaction refers to the inclusion of a product term of two risk factors in a statistical model. Statistical interaction thereby evaluates whether the association deviates from either additivity or multiplicativity, depending on the scale of the model. From a public health perspective, the assessment of interaction on an additive scale may be most relevant. For a transparent presentation of interaction effects, it is recommended to report the separate effect of each exposure as well as the joint effect compared to the unexposed group as a joint reference category to permit evaluation of interaction on both an additive and multiplicative scale.
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- 2011
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169. Reporting of interaction
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Carmine Zoccali, Kitty J Jager, Dinanda J. de Jager, Friedo W. Dekker, Renée de Mutsert, Amsterdam Cardiovascular Sciences, Amsterdam Public Health, and Medical Informatics
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medicine.medical_specialty ,Models, Statistical ,Interaction ,Epidemiology ,business.industry ,Association (object-oriented programming) ,Public health ,Perspective (graphical) ,General Medicine ,Risk factor (computing) ,Joint exposure ,Causality ,Epidemiologic Studies ,Outcome variable ,Nephrology ,Risk Factors ,Environmental health ,medicine ,Humans ,Public Health ,business ,Social psychology - Abstract
Interaction is the situation whereby the association of one risk factor with a certain outcome variable differs across strata of another risk factor. From a public health perspective, the assessment of interaction on an additive scale may be most relevant. Although additive models exist, logistic and Cox regression models are the most commonly used models in epidemiology. The resulting relative risks can be translated to an additive scale. The present paper presents surrogate measures to evaluate the presence of additive interaction when dealing with data on a multiplicative scale (relative risks). For a transparent presentation of interaction effects it is recommended to report the separate effect of each exposure as well as their joint effect compared to the unexposed group as joint reference category to permit evaluation of interaction on both an additive and multiplicative scale.
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- 2011
170. Is obesity associated with a survival advantage in patients starting peritoneal dialysis?
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Renée, de Mutsert, Diana C, Grootendorst, Elisabeth W, Boeschoten, Friedo W, Dekker, and Raymond T, Krediet
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Adult ,Male ,Middle Aged ,Body Mass Index ,Cohort Studies ,Survival Rate ,Humans ,Kidney Failure, Chronic ,Regression Analysis ,Female ,Obesity ,Prospective Studies ,Peritoneal Dialysis ,Aged ,Follow-Up Studies ,Netherlands - Abstract
Obesity has been found to be associated with a survival advantage in hemodialysis patients. Results from studies in peritoneal dialysis (PD) patients are inconsistent. The aim of this paper was to study the association between obesity and mortality in the PD population in the Netherlands Co-operative Study on the Adequacy of Dialysis-2 (NECOSAD) cohort and critically discuss the observational data from an epidemiological perspective.Patients starting PD were selected from the Netherlands Co-operative Study on the Adequacy of Dialysis-2 (NECOSAD), a prospective cohort study in incident dialysis patients in The Netherlands and followed for 5 years. Cox regression analysis was used to calculate relative risk of mortality (hazard ratios (HR) with 95% CIs) of baseline and time-dependent BMI, with a BMI of 18.5-25 as the reference.In total, 688 patients with end-stage renal disease starting with PD were included (66% men, age: 53 +/- 15 years, BMI: 24.6 +/- 3.8 kg/m2). At the start of dialysis, 8.4% of the patients were obese (BMIor =30). Compared with a normal BMI, obesity at the start of PD (BMIor =30) was associated with a HR of 0.8 (0.5, 1.3). Time-dependently, this was 0.7 (0.4, 1.2). The HR of BMI18.5 at the start of PD was 1.3 (95% CI: 0.4, 3.2), and time-dependently this was 2.3 (1.0, 5.3).Observational data suggest that PD patients who are obese at the start of dialysis do not have a worse survival compared with PD patients with a normal BMI. PD patients with a low BMI during dialysis have a twofold increased mortality risk. However, it can be argued to what extent the observed association between BMI and mortality in the dialysis population can be causally interpreted.
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- 2009
171. Is Obesity Associated with a Survival Advantage in Patients Starting Peritoneal Dialysis?
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Elisabeth W. Boeschoten, Raymond T. Krediet, Friedo W. Dekker, Diana C. Grootendorst, and Renée de Mutsert
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medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,medicine.disease ,Obesity ,Gastroenterology ,humanities ,Surgery ,Peritoneal dialysis ,Internal medicine ,medicine ,Survival advantage ,Hemodialysis ,Prospective cohort study ,business ,Survival rate ,Body mass index ,Cohort study - Abstract
Background: Obesity has been found to be associated with a survival advantage in hemodialysis patients. Results from studies in peritoneal dialysis (PD) patients are inconsistent. T
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- 2009
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172. Excess mortality due to interaction between protein-energy wasting, inflammation and cardiovascular disease in chronic dialysis patients
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Raymond T. Krediet, Diana C. Grootendorst, Jonas Axelsson, Renée de Mutsert, Elisabeth W. Boeschoten, Friedo W. Dekker, ACS - Amsterdam Cardiovascular Sciences, and Nephrology
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Male ,medicine.medical_specialty ,medicine.medical_treatment ,Nutritional Status ,Kaplan-Meier Estimate ,Protein-Energy Malnutrition ,Renal Dialysis ,Risk Factors ,Internal medicine ,medicine ,Humans ,Risk factor ,Wasting ,Dialysis ,Aged ,Inflammation ,Transplantation ,business.industry ,Mortality rate ,Hazard ratio ,Absolute risk reduction ,Middle Aged ,medicine.disease ,Surgery ,C-Reactive Protein ,Nephrology ,Cardiovascular Diseases ,Kidney Failure, Chronic ,Female ,Hemodialysis ,medicine.symptom ,business ,Kidney disease - Abstract
BACKGROUND: Protein-energy wasting (PEW), inflammation and cardiovascular diseases (CVD) clearly contribute to the high mortality in chronic dialysis. Our aim was to examine the presence of additive interaction between these three risk factors in their association with long-term mortality in dialysis patients. METHODS: Patients from a prospective multi-centre cohort study among ESRD patients starting with their first dialysis treatment [the Netherlands Co-operative Study on the Adequacy of Dialysis-2 (NECOSAD-II)] with complete data on these risk factors were included (n = 815, age: 59 +/- 15 years, 60% men, 65% HD). Hazard ratios (HR) were calculated for all-cause mortality in 7 years of follow-up. The presence of interaction between the three risk factors was examined, based on additivity of effects. RESULTS: Of all patients, 10% only suffered from PEW (1-5 on the 7-point subjective global assessment), 11% from inflammation (CRP >/=10 mg/L), 14% from CVD and 22% had any combination of two components. Only 6% of the patients had all three risk factors. Patients with either PEW (HR: 1.6, 95% CI: 1.3-2.0), inflammation (1.6, 1.3-2.0) or CVD (1.7, 1.4-2.1) had an increased mortality risk. In patients with all three risk factors, the crude mortality rate of 45/100 person-years was 16 deaths/100 person-years higher than expected from the addition of the solo effects of PEW, inflammation and CVD. The relative excess risk due to interaction was 2.9 (95% CI: 0.3-5.4), implying additive interaction. After adjustment for age, sex, treatment modality, primary kidney diseases, diabetes and malignancy the HR for patients with all three risk factors was 4.8 (95% CI: 3.2-7.2). CONCLUSIONS: The concurrent presence of PEW, inflammation and CVD increased the mortality risk strikingly more than expected, implying that PEW interacts with inflammation and CVD in dialysis patients
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- 2008
173. Use of a renal-specific oral supplement by haemodialysis patients with low protein intake does not increase the need for phosphate binders and may prevent a decline in nutritional status and quality of life
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Denis, Fouque, Jane, McKenzie, Renée, de Mutsert, Raymond, Azar, Daniel, Teta, Mathias, Plauth, Noel, Cano, B, Vendrely, Renilon Multicentre Trial Study Group, Schlawin, H., Burnier, M., Teta, D., Abokasem, A., Moray, W., Aladib, M., Bony, C., Broyet, C., Chauveau, P., Chazot, C., Delcroix, C., Depuis, E., Rist, E., Guy, JP., Hadj El Mrabet, A., Heyani, A., Nemmar, F., and Vendrely, B.
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Adult ,Male ,medicine.medical_specialty ,Low protein ,medicine.medical_treatment ,Serum albumin ,Nutritional Status ,Kidney ,Protein-Energy Malnutrition ,Gastroenterology ,Renal Dialysis ,Internal medicine ,medicine ,Health Status Indicators ,Humans ,Wasting ,Serum Albumin ,Dialysis ,Aged ,Aged, 80 and over ,Transplantation ,Intention-to-treat analysis ,biology ,business.industry ,C-reactive protein ,Middle Aged ,Phosphate-Binding Proteins ,medicine.disease ,Endocrinology ,Nephrology ,Dietary Proteins/administration & dosage ,Dietary Supplements/analysis ,Female ,Kidney/drug effects ,Phosphate-Binding Proteins/administration & dosage ,Protein-Energy Malnutrition/prevention & control ,Quality of Life ,Serum Albumin/analysis ,Dietary Supplements ,biology.protein ,Dietary Proteins ,Hemodialysis ,medicine.symptom ,business ,Kidney disease - Abstract
Background. Protein-energy wasting is a frequent and debilitating condition in maintenance dialysis. We randomly tested if an energy-dense, phosphate-restricted, renal-specific oral supplement couldmaintain adequate nutritional intake and prevent malnutrition in maintenance haemodialysis patients with insufficient intake. Methods. Eighty-six patients were assigned to a standard care (CTRL) group or were prescribed two 125-ml packs of Renilon 7.5 R daily for 3 months (SUPP). Dietary intake, serum (S) albumin, prealbumin, protein nitrogen appearance(nPNA), C-reactive protein, subjective global assessment(SGA) and quality of life (QOL) were recorded at baseline and after 3 months. Results. While intention to treat analysis (ITT) did not reveal strong statistically significant changes in dietary intake between groups, per protocol (PP) analysis showed that theSUPP group increased protein (P < 0.01) and energy (P
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- 2008
174. Association between body mass index and mortality is similar in the hemodialysis population and the general population at high age and equal duration of follow-up
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Jacqueline M. Dekker, Marieke B. Snijder, Friedo W. Dekker, Elisabeth W. Boeschoten, Renée de Mutsert, Raymond T. Krediet, Jacob C. Seidell, Jan P. Vandenbroucke, Femke Van Der Sman-De Beer, Public and occupational health, Amsterdam Cardiovascular Sciences, Nephrology, Nutrition and Health, Health Sciences, and Educational Neuroscience
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Male ,Pediatrics ,medicine.medical_specialty ,medicine.medical_treatment ,Population ,Overweight ,Research Support ,Body Mass Index ,SDG 3 - Good Health and Well-being ,Renal Dialysis ,medicine ,Journal Article ,Humans ,Comparative Study ,Obesity ,Prospective Studies ,Prospective cohort study ,education ,Non-U.S. Gov't ,Aged ,Netherlands ,education.field_of_study ,business.industry ,Mortality rate ,Research Support, Non-U.S. Gov't ,Hazard ratio ,General Medicine ,Middle Aged ,Survival Analysis ,Nephrology ,Female ,Hemodialysis ,Underweight ,medicine.symptom ,business ,Body mass index ,Demography ,Follow-Up Studies - Abstract
The association of body mass index (BMI) with mortality in hemodialysis patients has been found to be reversed in comparison with the general population. This study examined the association of BMI with mortality in the hemodialysis population and the general population when age and time of follow-up were made strictly comparable. Hemodialysis patients who were aged 50 to 75 yr at the start of follow-up were selected from the Netherlands Cooperative Study on the Adequacy of Dialysis-2 (NECOSAD), a prospective cohort study in incident dialysis patients in the Netherlands (n = 722; age 66 +/- 7 yr; BMI 25.3 +/- 4.5 kg/m(2)), and compared with adults who were aged 50 to 75 yr and included in the Hoorn Study, a population-based prospective cohort study in the same country (n = 2436; age 62 +/- 7 yr; BMI 26.5 +/- 3.6 kg/m(2)). In both populations, 2- and 7-yr standardized mortality rates were calculated for categories of BMI. Adjusted hazard ratios (HR) of BMI categories were calculated with a BMI of 22.5 to 25 kg/m(2) as the reference category within each population. In 7 yr of follow-up, standardized mortality rates were approximately 10 times higher in the hemodialysis population than those in the general population. Compared with the reference category, the HR of BMI or=30 kg/m(2)) was associated with a HR of 1.2 (95% CI 0.8 to 1.7) in the hemodialysis population and 1.3 (95% CI 0.9 to 2.0) in the general population. In conclusion, a hemodialysis population and a general population with comparable age and equal duration of follow-up showed similar mortality risk patterns associated with BMI. This suggests that there is no reverse epidemiology of BMI and mortality in hemodialysis patients. The clinical implication of this study is that to improve survival in the hemodialysis population, more attention should be paid to patients who are underweight instead of overweight.
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- 2007
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175. 1270: Randomized Double-Blind, Placebo-Controlled,Crossover Study of Men with Prostate Cancer and Rising PSA: Effectiveness of a Dietary Supplement
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Fritz H. Schröder, Monique J. Roobol, Egbert R. Boevé, Renée De. Mutsert, and Mark F. Wildhagen
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Urology - Published
- 2004
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176. Survival analysis: time-dependent effects and time-varying risk factors
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Paul C. W. van Dijk, Kitty J. Jager, Friedo W. Dekker, Renée de Mutsert, Carmine Zoccali, Medical Informatics, ACS - Amsterdam Cardiovascular Sciences, and APH - Amsterdam Public Health
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Gerontology ,medicine.medical_specialty ,Time Factors ,Short run ,business.industry ,Proportional hazards model ,Overweight ,Survival Analysis ,Body Mass Index ,Nephrology ,Risk Factors ,Epidemiology ,Medicine ,Humans ,medicine.symptom ,Underweight ,Risk factor ,business ,Body mass index ,Survival analysis ,Demography ,Proportional Hazards Models - Abstract
In traditional Kaplan–Meier or Cox regression analysis, usually a risk factor measured at baseline is related to mortality thereafter. During follow-up, however, things may change: either the effect of a fixed baseline risk factor may vary over time, resulting in a weakening or strengthening of associations over time, or the risk factor itself may vary over time. In this paper, short-term versus long-term effects (so-called time-dependent effects) of a fixed baseline risk factor are addressed. An example is presented showing that underweight is a strong risk factor for mortality in dialysis patients, especially in the short run. In contrast, overweight is a risk factor for mortality, which is stronger in the long run than in the short run. In addition, the analysis of how time-varying risk factors (so-called time-dependent risk factors) are related to mortality is demonstrated by paying attention to the pitfall of adjusting for sequelae. The proper analysis of effects over time should be driven by a clear research question. Both kinds of research questions, that is those of time-dependent effects as well those of time-dependent risk factors, can be analyzed with time-dependent Cox regression analysis. It will be shown that using time-dependent risk factors usually implies focusing on short-term effects only.
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177. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
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Dragana Vuckovic, Mariaelisa Graff, M. Arfan Ikram, Marit E. Jørgensen, Lia E. Bang, Gerome Breen, Torben Jørgensen, Matthias Blüher, Ivan Brandslund, Hester M. den Ruijter, Ian Ford, Timo A. Lakka, Jennifer Wessel, J. Wouter Jukema, Adam S. Butterworth, Iris M. Heid, Xiuqing Guo, Shuai Wang, Paul L. Auer, Tamuno Alfred, Katja K.H. Aben, Inês Barroso, Gail Davies, Helen Griffiths, Heather M. Highland, Myriam Fornage, Claudia Langenberg, Daniel R. Witte, Ilaria Gandin, Kent D. Taylor, Patrick T. Ellinor, Matti Uusitupa, Laura M. Yerges-Armstrong, Fotios Drenos, Lars Wallentin, Joanna M. M. Howson, Jaakko Tuomilehto, Andrew D. Morris, Lawrence F. Bielak, Mengmeng Du, Andrew J. Lotery, Ailith Pirie, Francis S. Collins, Eva Rabing Brix Petersen, Carolina Medina-Gomez, Manuel A. Rivas, Maria Karaleftheri, Jan-Håkan Jansson, Peter Kovacs, Jaspal S. Kooner, Markku Laakso, Fredrik Karpe, Markus Perola, Anubha Mahajan, Heather M. Stringham, Rohit Varma, Alex W. Hewitt, Chris J. Packard, Andrew C. Heath, Claudia Schurmann, Nele Friedrich, David Lamparter, Vanisha Mistry, Renée de Mutsert, Unnur Thorsteinsdottir, Naveed Sattar, Jennifer E. Huffman, Dale R. Nyholt, Johanna Kuusisto, Angela L. Mazul, Hanieh Yaghootkar, George Dedoussis, Yadav Sapkota, Elizabeth K. Speliotes, Amanda J. Cox, Jane Gibson, Christian Theil Have, Penny Gordon-Larsen, Alisa K. Manning, Jaakko Kaprio, Sita H. Vermeulen, Stella Trompet, Yucheng Jia, Dennis O. Mook-Kanamori, Torben Hansen, Kathleen Stirrups, Jean Ferrières, Douglas F. Easton, Ruth J. F. Loos, Gerard Pasterkamp, John M. Starr, Tellervo Korhonen, Betina H. Thuesen, Olov Rolandsson, Veikko Salomaa, Eric B. Larson, Thomas F. Vogt, John Danesh, Honghuang Lin, Gaëlle Marenne, Timothy M. Frayling, Anette Varbo, Daniel I. Chasman, Aliki-Eleni Farmaki, Lorraine Southam, Martina Müller-Nurasyid, Katharine R. Owen, Paul Mitchell, Ching-Ti Liu, Massimiliano Cocca, Anette P. Gjesing, Charles Kooperberg, Rebecca S. Fine, Wei Gan, Amy J. Swift, Gerard Tromp, Krina T. Zondervan, Henrik Vestergaard, Katherine S. Ruth, Angela D'Eustacchio, Uwe Völker, Beverley Balkau, Hayato Tada, Ingrid B. Borecki, Xueling Sim, Gudmar Thorleifsson, Wei Zhou, Yiqin Wang, Eleftheria Zeggini, Cora E. Lewis, Michael Boehnke, Evangelos Evangelou, Gabriel Cuellar-Partida, Sven Bergmann, Tinca J. C. Polderman, Philippe Amouyel, Roberta McKean-Cowdin, Ellen W. Demerath, Marco Brumat, Kjell Nikus, Anneke I den Hollander, Stefan Gustafsson, Allan Linneberg, Peter T. Campbell, Weihua Zhang, Leslie A. Lange, Gina M. Peloso, Jonathan P. Bradfield, Cornelia M. van Duijn, Xiaowei Zhan, Marie-Pierre Dubé, Liang He, André G. Uitterlinden, Anne Tybjærg-Hansen, Yingchang Lu, Wei Zhao, Liang Sun, Yii-Der Ida Chen, Paul I. W. de Bakker, Børge G. Nordestgaard, Karina Meidtner, Carsten A. Böger, Lynne E. Wagenknecht, Eric Kim, Pang Yao, Olli T. Raitakari, Nanette R. Lee, René S. Kahn, Lili Milani, Tessel E. Galesloot, Jussi Hernesniemi, Valgerdur Steinthorsdottir, Jie Yao, Eulalia Catamo, Kerrin S. Small, Sara M. Willems, Marcelo P. Segura-Lepe, Cecilia M. Lindgren, Asif Rasheed, Gonçalo R. Abecasis, Adam E. Locke, Konstantin Strauch, Albert V. Smith, Anke R. Hammerschlag, Frida Renström, Zoltán Kutalik, Giovanni Veronesi, Paul M. Ridker, David J. Carey, Yao Hu, Jaana Lindström, John Andrew Pospisilik, Mike A. Nalls, Erik Ingelsson, Colin N. A. Palmer, Mary F. Feitosa, John R. B. Perry, Anne E. Justice, Ele Ferrannini, Shuang Feng, Helen R. Warren, David J. Roberts, Igor Rudan, Jeffrey R. O'Connel, Alison Pattie, Christopher P. Nelson, Lars Lind, Feijie Wang, Tamara B. Harris, Keng-Hung Lin, Jerome I. Rotter, Matthew A. Allison, Robin Young, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Stefan Johansson, Alexander P. Reiner, Jing Hua Zhao, Poorva Mudgal, Tim D. Spector, Paul W. Franks, Loes M. Olde Loohuis, Harvey D. White, Pirjo Komulainen, Michelle L. O'Donoghue, Todd L. Edwards, Ozren Polasek, Andrew R. Wood, Dermot F. Reilly, Myriam Rheinberger, Cramer Christensen, G. Kees Hovingh, Hidetoshi Kitajima, Kristin L. Young, Audrey Y. Chu, Megan L. Grove, Suthesh Sivapalaratnam, Lisa Bastarache, Martin den Heijer, Oddgeir L. Holmen, Vilmundur Gudnason, Sameer E. Al-Harthi, Dewan S. Alam, Robert E. Schoen, Jin Li, Sascha Fauser, Janie Corley, Paolo Gasparini, Niels Grarup, Guillaume Lettre, Thomas N. Person, Mark I. McCarthy, Joel N. Hirschhorn, Ying Wu, Pia R. Kamstrup, Nilesh J. Samani, Panos Deloukas, Ethan M. Lange, Helena Kuivaniemi, Mika Kähönen, Michiel L. Bots, Annette Peters, Peggy L. Peissig, Wayne Huey-Herng Sheu, Steven A. Lubitz, Stefania Cappellani, Mauno Vanhala, Andrew P. Morris, Struan F.A. Grant, Mark Walker, Trevor A. Mori, Jian'an Luan, Matthias B. Schulze, Josh C. Denny, Sarah E. Medland, Sander W. van der Laan, Maggie C.Y. Ng, Eric Boerwinkle, Tibor V. Varga, Øyvind Helgeland, Anke Tönjes, Jessica van Setten, James P. Cook, Patricia B. Munroe, Heiner Boeing, Robert A. Scott, Karen L. Mohlke, Leena Moilanen, Ayush Giri, Andrew J. Slater, Andrew T. Hattersley, Mark J. Caulfield, Tõnu Esko, Mark C. H. Groot, Nancy L. Heard-Costa, Narisu Narisu, Danish Saleheen, Valérie Turcot, Lambertus A. Kiemeney, Nicholas G. D. Masca, Ruifang Li-Gao, Jean-Claude Tardif, Xu Lin, Kathleen Mullan Harris, Antonietta Robino, Alison M. Dunning, Jonathan Tyrer, Audrey E. Hendricks, Linda Broer, Patricia A. Peyser, Jessica D. Faul, Jose C. Florez, Anne U. Jackson, Eirini Marouli, Jette Bork-Jensen, John C. Chambers, Jordi Corominas Galbany, Ruth Frikke-Schmidt, David S. Crosslin, Bratati Kahali, Stavroula Kanoni, Gorm B. Jensen, Nicholas J. Wareham, Paul Elliott, Tune H. Pers, James A. Perry, Tugce Karaderi, Matt J. Neville, Marianne Benn, Svati H. Shah, Mathias Gorski, Michael Stumvoll, David Ellinghaus, Amber A. Burt, Kari E. North, Jeffrey Haessler, Rajiv Chowdhury, Folkert W. Asselbergs, Marie Moitry, Aniruddh P. Patel, Pamela J. Schreiner, Frank Kee, Donald W. Bowden, Sune F. Nielsen, Oluf Pedersen, John D. Rioux, Rainer Rauramaa, Satu Männistö, Deborah J. Thompson, Cristen J. Willer, Andre Franke, Kari Kuulasmaa, Nienke van Leeuwen, Carmel Moore, Sharon L.R. Kardia, Neil R. Robertson, Sekar Kathiresan, Erin B. Ware, Dawn M. Waterworth, James G. Wilson, Sandosh Padmanabhan, Emmanouil Tsafantakis, Hakon Hakonarson, Dajiang J. Liu, Digna R. Velez Edwards, Artitaya Lophatananon, Craig E. Pennell, Gail P. Jarvik, Adelheid Lempradl, Anu Loukola, Joe Dennis, Hans-Jörgen Grabe, Oscar H. Franco, Yongmei Liu, I. Sadaf Farooqi, Hannu Puolijoki, Huaixing Li, Caroline Hayward, Rudolf Uher, Veronique Vitart, Murray H. Brilliant, Kari Stefansson, Alexander Teumer, Nicholette D. Palmer, Vilmantas Giedraitis, Roel A. Ophoff, Sailaja Vedantam, Emanuele Di Angelantonio, Ken S. Lo, Grant W. Montgomery, Paul L. Huang, Praveen Surendran, Terho Lehtimäki, Katherine E. Tansey, Li-An Lin, Pål R. Njølstad, Thomas W. Winkler, Ian J. Deary, Erwin P. Bottinger, Carol A. Wang, Biological Psychology, Complex Trait Genetics, and Amsterdam Neuroscience - Complex Trait Genetics
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0301 basic medicine ,2. Zero hunger ,0303 health sciences ,ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATION ,Published Erratum ,Computational biology ,Biology ,medicine.disease ,Obesity ,Genealogy ,3. Good health ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,ddc:570 ,Genetics ,medicine ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,Biological sciences ,Body mass index ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
In the version of this article originally published, one of the two authors with the name Wei Zhao was omitted from the author list and the affiliations for both authors were assigned to the single Wei Zhao in the author list. In addition, the ORCID for Wei Zhao (Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA) was incorrectly assigned to author Wei Zhou. The errors have been corrected in the HTML and PDF versions of the article.
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178. Excess mortality due to interaction between protein-energy wasting, inflammation and cardiovascular disease in chronic dialysis patients.
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Renée de Mutsert, Diana C. Grootendorst, Jonas Axelsson, Elisabeth W. Boeschoten, Raymond T. Krediet, Friedo W. Dekker, and the NECOSAD Study Group
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HEMODIALYSIS patients , *KIDNEY diseases , *ENDOCRINE diseases ,CARDIOVASCULAR disease related mortality - Abstract
Background. Protein-energy wasting (PEW), inflammation and cardiovascular diseases (CVD) clearly contribute to the high mortality in chronic dialysis. Our aim was to examine the presence of additive interaction between these three risk factors in their association with long-term mortality in dialysis patients. Methods. Patients from a prospective multi-centre cohort study among ESRD patients starting with their first dialysis treatment [the Netherlands Co-operative Study on the Adequacy of Dialysis-2 (NECOSAD-II)] with complete data on these risk factors were included (n = 815, age: 59 ± 15 years, 60% men, 65% HD). Hazard ratios (HR) were calculated for all-cause mortality in 7 years of follow-up. The presence of interaction between the three risk factors was examined, based on additivity of effects. Results. Of all patients, 10% only suffered from PEW (1–5 on the 7-point subjective global assessment), 11% from inflammation (CRP ≥10 mg/L), 14% from CVD and 22% had any combination of two components. Only 6% of the patients had all three risk factors. Patients with either PEW (HR: 1.6, 95% CI: 1.3–2.0), inflammation (1.6, 1.3–2.0) or CVD (1.7, 1.4–2.1) had an increased mortality risk. In patients with all three risk factors, the crude mortality rate of 45/100 person-years was 16 deaths/100 person-years higher than expected from the addition of the solo effects of PEW, inflammation and CVD. The relative excess risk due to interaction was 2.9 (95% CI: 0.3–5.4), implying additive interaction. After adjustment for age, sex, treatment modality, primary kidney diseases, diabetes and malignancy the HR for patients with all three risk factors was 4.8 (95% CI: 3.2–7.2). Conclusions. The concurrent presence of PEW, inflammation and CVD increased the mortality risk strikingly more than expected, implying that PEW interacts with inflammation and CVD in dialysis patients. [ABSTRACT FROM AUTHOR]
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- 2008
179. Use of a renal-specific oral supplement by haemodialysis patients with low protein intake does not increase the need for phosphate binders and may prevent a decline in nutritional status and quality of life.
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Denis Fouque, Jane McKenzie, Renée de Mutsert, Raymond Azar, Daniel Teta, Mathias Plauth, Noel Cano, and the Renilon Multicentre Trial Study Group
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HEMODIALYSIS patients ,BLOOD plasma ,C-reactive protein ,BLOOD filtration - Abstract
Background. Protein-energy wasting is a frequent and debilitating condition in maintenance dialysis. We randomly tested if an energy-dense, phosphate-restricted, renal-specific oral supplement could maintain adequate nutritional intake and prevent malnutrition in maintenance haemodialysis patients with insufficient intake. Methods. Eighty-six patients were assigned to a standard care (CTRL) group or were prescribed two 125-ml packs of Renilon 7.5® daily for 3 months (SUPP). Dietary intake, serum (S) albumin, prealbumin, protein nitrogen appearance (nPNA), C-reactive protein, subjective global assessment (SGA) and quality of life (QOL) were recorded at baseline and after 3 months. Results. While intention to treat analysis (ITT) did not reveal strong statistically significant changes in dietary intake between groups, per protocol (PP) analysis showed that the SUPP group increased protein (P < 0.01) and energy (P < 0.01) intakes. In contrast, protein and energy intakes further deteriorated in the CTRL group (PP). Although there was no difference in serum albumin and prealbumin changes between groups, in the total population serum albumin and prealbumin changes were positively associated with the increment in protein intake (r = 0.29, P = 0.01 and r = 0.27, P = 0.02, respectively). The SUPP group did not increase phosphate intake, phosphataemia remained unaffected, and the use of phosphate binders remained stable or decreased. The SUPP group exhibited improved SGA and QOL (P < 0.05). Conclusion. This study shows that providing maintenance haemodialysis patients with insufficient intake with a renal-specific oral supplement may prevent deterioration in nutritional indices and QOL without increasing the need for phosphate binders. [ABSTRACT FROM AUTHOR]
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- 2008
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