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Ploegmakers KJ, van Poelgeest EP, Seppala LJ, van Dijk SC, de Groot LCPGM, Oliai Araghi S, van Schoor NM, Stricker B, Swart KMA, Uitterlinden AG, Mathôt RAA, van der Velde N. The role of plasma concentrations and drug characteristics of beta-blockers in fall risk of older persons. Pharmacol Res Perspect 2023; 11:e01126. [PMID: 37885367 PMCID: PMC10603288 DOI: 10.1002/prp2.1126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 10/28/2023] Open
Abstract
Beta-blocker usage is inconsistently associated with increased fall risk in the literature. However, due to age-related changes and interindividual heterogeneity in pharmacokinetics and dynamics, it is difficult to predict which older adults are more at risk for falls. Therefore, we wanted to explore whether elevated plasma concentrations of selective and nonselective beta-blockers are associated with an increased risk of falls in older beta-blocker users. To answer our research question, we analyzed samples of selective (metoprolol, n = 316) and nonselective beta-blockers (sotalol, timolol, propranolol, and carvedilol, n = 179) users from the B-PROOF cohort. The associations between the beta-blocker concentration and time to first fall were assessed using Cox proportional hazard models. Change of concentration over time in relation to fall risk was assessed with logistic regression models. Models were adjusted for potential confounders. Our results showed that above the median concentration of metoprolol was associated with an increased fall risk (HR 1.55 [1.11-2.16], p = .01). No association was found for nonselective beta-blocker concentrations. Also, changes in concentration over time were not associated with increased fall risk. To conclude, metoprolol plasma concentrations were associated with an increased risk of falls in metoprolol users while no associations were found for nonselective beta-blockers users. This might be caused by a decreased β1-selectivity in high plasma concentrations. In the future, beta-blocker concentrations could potentially help clinicians estimate fall risk in older beta-blockers users and personalize treatment.
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Affiliation(s)
- K. J. Ploegmakers
- Amsterdam UMC Location University of AmsterdamInternal Medicine, Section of Geriatric MedicineAmsterdamThe Netherlands
- Amsterdam Public HealthAging and Later LifeAmsterdamThe Netherlands
| | - E. P. van Poelgeest
- Amsterdam UMC Location University of AmsterdamInternal Medicine, Section of Geriatric MedicineAmsterdamThe Netherlands
- Amsterdam Public HealthAging and Later LifeAmsterdamThe Netherlands
| | - L. J. Seppala
- Amsterdam UMC Location University of AmsterdamInternal Medicine, Section of Geriatric MedicineAmsterdamThe Netherlands
- Amsterdam Public HealthAging and Later LifeAmsterdamThe Netherlands
| | - S. C. van Dijk
- Department of Geriatrics, Franciscus Gasthuis & VlietlandRotterdamthe Netherlands
| | | | - S. Oliai Araghi
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - N. M. van Schoor
- Amsterdam Public HealthAging and Later LifeAmsterdamThe Netherlands
- Amsterdam UMC Location Vrije Universiteit AmsterdamEpidemiology and Data ScienceAmsterdamNetherlands
| | - B. Stricker
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - K. M. A. Swart
- Amsterdam UMC Location Vrije Universiteit Amsterdam General PracticeAmsterdamThe Netherlands
| | - A. G. Uitterlinden
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
- Department of Internal MedicineErasmus University Medical CenterRotterdamthe Netherlands
| | - R. A. A. Mathôt
- Amsterdam UMC Location University of AmsterdamHospital Pharmacy—Clinical PharmacologyAmsterdamThe Netherlands
| | - N. van der Velde
- Amsterdam UMC Location University of AmsterdamInternal Medicine, Section of Geriatric MedicineAmsterdamThe Netherlands
- Amsterdam Public HealthAging and Later LifeAmsterdamThe Netherlands
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Karabegović I, Maas SCE, Shuai Y, Ikram MA, Stricker B, Aerts J, Brusselle G, Lahousse L, Voortman T, Ghanbari M. Smoking-related dysregulation of plasma circulating microRNAs: the Rotterdam study. Hum Genomics 2023; 17:61. [PMID: 37430296 DOI: 10.1186/s40246-023-00504-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/26/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression. Differential miRNA expression, which is widely shown to be associated with the pathogenesis of various diseases, can be influenced by lifestyle factors, including smoking. This study aimed to investigate the plasma miRNA signature of smoking habits, the potential effect of smoking cessation on miRNA levels, and relate the findings with lung cancer incidence. RESULTS A targeted RNA-sequencing approach measured plasma miRNA levels in 2686 participants from the population-based Rotterdam study cohort. The association between cigarette smoking (current versus never) and 591 well-expressed miRNAs was assessed via adjusted linear regression models, identifying 41 smoking-associated miRNAs that passed the Bonferroni-corrected threshold (P < 0.05/591 = 8.46 × 10-5). Moreover, we found 42 miRNAs with a significant association (P < 8.46 × 10-5) between current (reference group) and former smokers. Then, we used adjusted linear regression models to explore the effect of smoking cessation time on miRNA expression levels. The expression levels of two miRNAs were significantly different within 5 years of cessation (P < 0.05/41 = 1.22 × 10-3) from current smokers, while for cessation time between 5 and 15 years we found 19 miRNAs to be significantly different from current smokers, and finally, 38 miRNAs were significantly different after more than 15 years of cessation time (P < 1.22 × 10-3). These results imply the reversibility of the smoking effect on plasma levels of at least 38 out of the 41 smoking-miRNAs following smoking cessation. Next, we found 8 out of the 41 smoking-related miRNAs to be nominally associated (P < 0.05) with the incidence of lung cancer. CONCLUSIONS This study demonstrates smoking-related dysregulation of plasma miRNAs, which might have a potential for reversibility when comparing different smoking cessation groups. The identified miRNAs are involved in several cancer-related pathways and include 8 miRNAs associated with lung cancer incidence. Our results may lay the groundwork for further investigation of miRNAs as potential mechanism linking smoking, gene expression and cancer.
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Affiliation(s)
- Irma Karabegović
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Silvana C E Maas
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
- Vall d'Hebron Institute of Oncology (VHIO), 08035, Barcelona, Spain
| | - Yu Shuai
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Bruno Stricker
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Joachim Aerts
- Department of Pulmonary Medicine, Erasmus MC University Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Guy Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, 9000, Ghent, Belgium
| | - Lies Lahousse
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, 9000, Ghent, Belgium
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
- Division of Human Nutrition and Health, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
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Arinze JT, van der Veer T, Bos D, Stricker B, Verhamme KMC, Brusselle G. Epidemiology of unexplained chronic cough in adults: a population-based study. ERJ Open Res 2023; 9:00739-2022. [DOI: 10.1183/23120541.00739-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Accepted: 02/16/2023] [Indexed: 03/18/2023] Open
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Arinze JT, Vinke EJ, Verhamme KMC, de Ridder MAJ, Stricker B, Ikram MK, Brusselle G, Vernooij MW. Chronic Cough-Related Differences in Brain Morphometry in Adults: A Population-Based Study. Chest 2023:S0012-3692(23)00187-3. [PMID: 36781103 DOI: 10.1016/j.chest.2023.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/13/2023] Open
Abstract
BACKGROUND Individuals with cough hypersensitivity have increased central neural responses to tussive stimuli, which may result in maladaptive morphometric changes in the central cough processing systems. RESEARCH QUESTION Are the volumes of the brain regions implicated in cough hypersensitivity different in adults with chronic cough compared with adults without chronic cough? STUDY DESIGN AND METHODS Between 2009 and 2014, participants in the Rotterdam Study, a population-based cohort, underwent brain MRI and were interviewed for chronic cough, which was defined as daily coughing for at least 3 months. Regional brain volumes were quantified with the use of parcellation software. Based on literature review, we identified and studied seven brain regions that previously had been associated with altered functional brain activity in chronic cough. The relationship between chronic cough and regional brain volumes was investigated with the use of multivariable regression models. RESULTS Chronic cough was prevalent in 9.6% (No. = 349) of the 3,620 study participants (mean age, 68.5 ± 9.0 years; 54.6% women). Participants with chronic cough had significantly smaller anterior cingulate cortex volume than participants without chronic cough (mean difference, -126.16 mm3; 95% CI, -245.67 to -6.66; P = .039). Except for anterior cingulate cortex, there were no significant difference in the volume of other brain regions based on chronic cough status. The volume difference in the anterior cingulate cortex was more pronounced in the left hemisphere (mean difference, -88.11 mm3; 95% CI, -165.16 to -11.06; P = .025) and in men (mean difference, -242.58 mm3; 95% CI, -428.60 to -56.55; P = .011). INTERPRETATION Individuals with chronic cough have a smaller volume of the anterior cingulate cortex, which is a brain region involved in cough suppression. CLINICAL TRIAL REGISTRATION The Netherlands National Trial Registry (NTR; www.trialregister.nl) and the World Health Organization's International Clinical Trials Registry Platform (ICTRP; www.who.int/ictrp/network/primary/en/) under the joint catalogue number NTR6831.
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Affiliation(s)
- Johnmary T Arinze
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium; Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Elisabeth J Vinke
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Katia M C Verhamme
- Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Maria A J de Ridder
- Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Bruno Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - M K Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Guy Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
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vom Hofe IEM, Stricker B, Vernooij MW, Ikram MA, Wolters FJ. Antidepressant use in relation to long‐term dementia risk and imaging markers of neurodegeneration: a population‐based study of potential adverse effects. Alzheimers Dement 2022. [DOI: 10.1002/alz.064077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Young WJ, Lahrouchi N, Isaacs A, Duong T, Foco L, Ahmed F, Brody JA, Salman R, Noordam R, Benjamins JW, Haessler J, Lyytikäinen LP, Repetto L, Concas MP, van den Berg ME, Weiss S, Baldassari AR, Bartz TM, Cook JP, Evans DS, Freudling R, Hines O, Isaksen JL, Lin H, Mei H, Moscati A, Müller-Nurasyid M, Nursyifa C, Qian Y, Richmond A, Roselli C, Ryan KA, Tarazona-Santos E, Thériault S, van Duijvenboden S, Warren HR, Yao J, Raza D, Aeschbacher S, Ahlberg G, Alonso A, Andreasen L, Bis JC, Boerwinkle E, Campbell A, Catamo E, Cocca M, Cutler MJ, Darbar D, De Grandi A, De Luca A, Ding J, Ellervik C, Ellinor PT, Felix SB, Froguel P, Fuchsberger C, Gögele M, Graff C, Graff M, Guo X, Hansen T, Heckbert SR, Huang PL, Huikuri HV, Hutri-Kähönen N, Ikram MA, Jackson RD, Junttila J, Kavousi M, Kors JA, Leal TP, Lemaitre RN, Lin HJ, Lind L, Linneberg A, Liu S, MacFarlane PW, Mangino M, Meitinger T, Mezzavilla M, Mishra PP, Mitchell RN, Mononen N, Montasser ME, Morrison AC, Nauck M, Nauffal V, Navarro P, Nikus K, Pare G, Patton KK, Pelliccione G, Pittman A, Porteous DJ, Pramstaller PP, Preuss MH, Raitakari OT, Reiner AP, Ribeiro ALP, Rice KM, Risch L, Schlessinger D, Schotten U, Schurmann C, Shen X, Shoemaker MB, Sinagra G, Sinner MF, Soliman EZ, Stoll M, Strauch K, Tarasov K, Taylor KD, Tinker A, Trompet S, Uitterlinden A, Völker U, Völzke H, Waldenberger M, Weng LC, Whitsel EA, Wilson JG, Avery CL, Conen D, Correa A, Cucca F, Dörr M, Gharib SA, Girotto G, Grarup N, Hayward C, Jamshidi Y, Järvelin MR, Jukema JW, Kääb S, Kähönen M, Kanters JK, Kooperberg C, Lehtimäki T, Lima-Costa MF, Liu Y, Loos RJF, Lubitz SA, Mook-Kanamori DO, Morris AP, O'Connell JR, Olesen MS, Orini M, Padmanabhan S, Pattaro C, Peters A, Psaty BM, Rotter JI, Stricker B, van der Harst P, van Duijn CM, Verweij N, Wilson JF, Arking DE, Ramirez J, Lambiase PD, Sotoodehnia N, Mifsud B, Newton-Cheh C, Munroe PB. Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways. Nat Commun 2022; 13:5144. [PMID: 36050321 PMCID: PMC9436946 DOI: 10.1038/s41467-022-32821-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 08/17/2022] [Indexed: 11/10/2022] Open
Abstract
The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization and repolarization, estimated by QRS duration and JT interval, respectively. QT interval abnormalities are associated with potentially fatal ventricular arrhythmia. Using genome-wide multi-ancestry analyses (>250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization.
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Affiliation(s)
- William J Young
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS trust, London, UK
| | - Najim Lahrouchi
- Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Aaron Isaacs
- Deptartment of Physiology, Cardiovascular Research Institute Maastricht CARIM, Maastricht University, Maastricht, The Netherlands
- Maastricht Center for Systems Biology MaCSBio, Maastricht University, Maastricht, The Netherlands
| | - ThuyVy Duong
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Luisa Foco
- Eurac Research, Institute for Biomedicine affiliated with the University of Lübeck, Bolzano, Italy
| | - Farah Ahmed
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Reem Salman
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
| | - Raymond Noordam
- Department of Internal Medicine, section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan-Walter Benjamins
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, The Netherlands
| | - Jeffrey Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Linda Repetto
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Maria Pina Concas
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
| | - Marten E van den Berg
- Department of Epidemiology, Erasmus MC - University Medical Center, Rotterdam, The Netherlands
| | - Stefan Weiss
- DZHK German Centre for Cardiovascular Research; partner site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics; Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Antoine R Baldassari
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, USA
| | - James P Cook
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Daniel S Evans
- California Pacific Medical Center, Research Institute, San Francisco, CA, USA
| | - Rebecca Freudling
- Department of Cardiology, University Hospital, LMU Munich, Munich, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Oliver Hines
- Genetics Research Centre, St George's University of London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Jonas L Isaksen
- Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Honghuang Lin
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, USA
| | - Arden Moscati
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics IMBEI, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Casia Nursyifa
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yong Qian
- Translational Gerontology Branch, National Institute on Aging, National Institute of Health, Baltimore, US
| | - Anne Richmond
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Carolina Roselli
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, The Netherlands
- Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA
| | - Kathleen A Ryan
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Eduardo Tarazona-Santos
- Department of Genetics, Ecology and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte/Minas Gerais, Brazil
| | - Sébastien Thériault
- Population Health Research Institute, McMaster University, Hamilton, Canada
- Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, Quebec, Canada
| | - Stefan van Duijvenboden
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- Institute of Cardiovascular Sciences, University of College London, London, UK
| | - Helen R Warren
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences/The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Dania Raza
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- Brighton and Sussex Medical School, Brighton, UK
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Gustav Ahlberg
- Laboratory for Molecular Cardiology, The Heart Centre, Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Laura Andreasen
- Laboratory for Molecular Cardiology, The Heart Centre, Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Archie Campbell
- Usher Institute, University of Edinburgh, Nine, Edinburgh Bioquarter, 9 Little France Road, Edinburgh, UK
- Health Data Research UK, University of Edinburgh, Nine, Edinburgh Bioquarter, 9 Little France Road, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Eulalia Catamo
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
| | - Massimiliano Cocca
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
| | - Michael J Cutler
- Intermountain Heart Institute, Intermountain Medical Center, Murray, UT, USA
| | - Dawood Darbar
- Department of Medicine, University of Illinois at Chicago, Chicago, USA
| | - Alessandro De Grandi
- Eurac Research, Institute for Biomedicine affiliated with the University of Lübeck, Bolzano, Italy
| | - Antonio De Luca
- Cardiothoracovascular Department, ASUGI, University of Trieste, Trieste, Italy
| | - Jun Ding
- Translational Gerontology Branch, National Institute on Aging, National Institute of Health, Baltimore, US
| | - Christina Ellervik
- Department of Data and Data Support, Region Zealand, 4180, Sorø, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
- Department of Laboratory Medicine, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA, 02115, USA
| | - Patrick T Ellinor
- Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA
- Demoulas Center for Cardiac Arrhythmias and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Stephan B Felix
- DZHK German Centre for Cardiovascular Research; partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B - Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine; University Medicine Greifswald, Greifswald, Germany
| | - Philippe Froguel
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- University of Lille Nord de France, Lille, France
- CNRS UMR8199, Institut Pasteur de Lille, Lille, France
| | - Christian Fuchsberger
- Eurac Research, Institute for Biomedicine affiliated with the University of Lübeck, Bolzano, Italy
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, USA
| | - Martin Gögele
- Eurac Research, Institute for Biomedicine affiliated with the University of Lübeck, Bolzano, Italy
| | - Claus Graff
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences/The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics/Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics/David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology/University of Washington, Seattle, WA, USA
| | - Paul L Huang
- Cardiology Division and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Heikki V Huikuri
- Research Unit of Internal Medicine, Medical Research Center Oulu, University of Oulu and University Hospital of Oulu, Oulu, Finland
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University Hospital, Tampere, Finland
- Department of Pediatrics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Tampere Centre for Skills Training and Simulation, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC - University Medical Center, Rotterdam, The Netherlands
| | - Rebecca D Jackson
- Center for Clinical and Translational Science, Ohio State Medical Center, Columbus, OH, USA
| | - Juhani Junttila
- Research Unit of Internal Medicine, Medical Research Center Oulu, University of Oulu and University Hospital of Oulu, Oulu, Finland
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC - University Medical Center, Rotterdam, The Netherlands
| | - Jan A Kors
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, NL, The Netherlands
| | - Thiago P Leal
- Department of Genetics, Ecology and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte/Minas Gerais, Brazil
- Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Henry J Lin
- Institute for Translational Genomics and Population Sciences/The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics/Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics/David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Lars Lind
- Deptartment of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Simin Liu
- Center for Global Cardiometabolic Health, Departments of Epidemiology, Medicine and Surgery, Brown University, Providence, USA
| | - Peter W MacFarlane
- Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, UK
| | - Thomas Meitinger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technical University of Munich, Munich, Germany
- DZHK (German Centre for Cardiovascular Research, partner site: Munich Heart Alliance, Munich, Germany
| | - Massimo Mezzavilla
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Rebecca N Mitchell
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - May E Montasser
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Matthias Nauck
- DZHK German Centre for Cardiovascular Research; partner site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Victor Nauffal
- Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Pau Navarro
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, Finland
- Department of Cardiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Guillaume Pare
- Population Health Research Institute, McMaster University, Hamilton, Canada
| | - Kristen K Patton
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Giulia Pelliccione
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
| | - Alan Pittman
- Genetics Research Centre, St George's University of London, London, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Peter P Pramstaller
- Eurac Research, Institute for Biomedicine affiliated with the University of Lübeck, Bolzano, Italy
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Alexander P Reiner
- Department of Epidemiology/University of Washington, Seattle, WA, USA
- Fred Hutchinson Cancer Center, University of Washington, Seattle, WA, USA
| | - Antonio Luiz P Ribeiro
- Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil, Belo Horizonte, Minas Gerais, Brazil
- Cardiology Service and Telehealth Center, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, Belo Horizonte, Minas Gerais, Brazil
| | - Kenneth M Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lorenz Risch
- Labormedizinisches zentrum Dr. Risch, Vaduz, Liechtenstein
- Faculty of Medical Sciences, Private University in the Principality of Liechtenstein, Triesen, Liechtenstein
- Center of Laboratory Medicine, University Institute of Clinical Chemistry, University of Bern, Inselspital, Bern, Switzerland
| | - David Schlessinger
- Laboratory of Genetics and Genomics, National Institute on Aging, National Institute of Health, Baltimore, US
| | - Ulrich Schotten
- Deptartment of Physiology, Cardiovascular Research Institute Maastricht CARIM, Maastricht University, Maastricht, The Netherlands
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xia Shen
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Greater Bay Area Institute of Precision Medicine Guangzhou, Fudan University, Nansha District, Guangzhou, China
| | - M Benjamin Shoemaker
- Department of Medicine, Division of Cardiovascular Medicine, Arrhythmia Section, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gianfranco Sinagra
- Cardiothoracovascular Department, ASUGI, University of Trieste, Trieste, Italy
| | - Moritz F Sinner
- Department of Cardiology, University Hospital, LMU Munich, Munich, Germany
- DZHK (German Centre for Cardiovascular Research, partner site: Munich Heart Alliance, Munich, Germany
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center EPICARE, Wake Forest School of Medicine, Winston Salem, USA
| | - Monika Stoll
- Maastricht Center for Systems Biology MaCSBio, Maastricht University, Maastricht, The Netherlands
- Dept. of Biochemistry, Cardiovascular Research Institute Maastricht CARIM, Maastricht University, Maastricht, NL, The Netherlands
- Institute of Human Genetics, Genetic Epidemiology, University of Muenster, Muenster, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics IMBEI, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Kirill Tarasov
- Laboratory of Cardiovascular Sciences, National Institute on Aging, National Institute of Health, Baltimore, US
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences/The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics/Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics/David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Andrew Tinker
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Stella Trompet
- Department of Internal Medicine, section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Uwe Völker
- DZHK German Centre for Cardiovascular Research; partner site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics; Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- DZHK German Centre for Cardiovascular Research; partner site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Melanie Waldenberger
- DZHK (German Centre for Cardiovascular Research, partner site: Munich Heart Alliance, Munich, Germany
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Lu-Chen Weng
- Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, USA
- Department of Cardiology, Beth Israel Deaconess Medical Center, Boston, USA
| | - Christy L Avery
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Canada
| | - Adolfo Correa
- Departments of Medicine, Pediatrics and Population Health Science, University of Mississippi Medical Center, Jackson, USA
| | - Francesco Cucca
- Institute of Genetic and Biomedical Rsearch, Italian National Research Council, Monserrato, Italy
| | - Marcus Dörr
- DZHK German Centre for Cardiovascular Research; partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B - Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine; University Medicine Greifswald, Greifswald, Germany
| | - Sina A Gharib
- Center for Lung Biology, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - Giorgia Girotto
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Yalda Jamshidi
- Genetics Research Centre, St George's University of London, London, UK
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
| | - Stefan Kääb
- Department of Cardiology, University Hospital, LMU Munich, Munich, Germany
- DZHK (German Centre for Cardiovascular Research, partner site: Munich Heart Alliance, Munich, Germany
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jørgen K Kanters
- Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | | | - Yongmei Liu
- Department of Medicine, Duke University, Durham, NC, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven A Lubitz
- Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA
- Demoulas Center for Cardiac Arrhythmias and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrew P Morris
- Department of Health Data Science, University of Liverpool, Liverpool, UK
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jeffrey R O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Michele Orini
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS trust, London, UK
- Institute of Cardiovascular Sciences, University of College London, London, UK
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Cristian Pattaro
- Eurac Research, Institute for Biomedicine affiliated with the University of Lübeck, Bolzano, Italy
| | - Annette Peters
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research, partner site: Munich Heart Alliance, Munich, Germany
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology/University of Washington, Seattle, WA, USA
- Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences/The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics/Harbor-UCLA Medical Center, Torrance, CA, USA
- Departments of Pediatrics and Human Genetics/David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Bruno Stricker
- Department of Epidemiology, Erasmus MC - University Medical Center, Rotterdam, The Netherlands
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, The Netherlands
- Department of Cardiology, Heart and Lung Division, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cornelia M van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Niek Verweij
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, The Netherlands
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Julia Ramirez
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- Institute of Cardiovascular Sciences, University of College London, London, UK
| | - Pier D Lambiase
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS trust, London, UK
- Institute of Cardiovascular Sciences, University of College London, London, UK
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Borbala Mifsud
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- Genomics and Translational Biomedicine, College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Christopher Newton-Cheh
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Cardiovascular Research Center, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
| | - Patricia B Munroe
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK.
- NIHR Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
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Stricker B, Cheung K, Verhamme K. General practice database on mortality in adults on methylphenidate: cohort study. BMJ Open 2022; 12:e057303. [PMID: 36028269 PMCID: PMC9422798 DOI: 10.1136/bmjopen-2021-057303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES Methylphenidate is a 'prescription only' drug against attention disorders which is increasingly used by adults. We investigated whether methylphenidate in adults was associated with an increased risk of psychiatric events such as depression, and suicide attempt and overall mortality. DESIGN A population-based matched cohort design. SETTING The Integrated Primary Care Information system, a general practitioners (GP) database in the Netherlands with a source population of 2.5 million inhabitants. PARTICIPANTS During the study period between 1 June 1996 and 1 January 2018, 8905 adults started methylphenidate and were matched to 10 non-users on sex, age, GP practice and ad prescription date. The total study population consisted of 97 198 participants. MAIN OUTCOME MEASURES Serious psychiatric events such as depression and suicide attempts, and overall mortality. ANALYSES Risks of development of each event during the use of methylphenidate were expressed as HR with 95% CI, adjusted for relevant confounders with methylphenidate as a time-dependent determinant. Additional adjustment was performed for the intervention ('intention-to-treat'). RESULTS Although during follow-up, the unadjusted risks of depression and suicide attempt were strongly increased in users, depression and psychosis became non-significant after adjustment for alcohol-abuse and substance-abuse and psychiatric disease in the medical history and after adjustment for 'intention-to-treat'. However, the risk of suicide attempts remained significantly increased after full adjustment (HR 2.0; 95% CI 1.1 to 3.6), and was highest in women and in participants within the age-group of 18-40 years. The unadjusted risk of overall mortality was strongly increased, but this lowered to a significant 30% risk increase (HR 1.3; 95% CI 1.1 to 1.6) after full adjustment. CONCLUSION There is an increased risk of suicide attempts in adults up to 40 years of age after starting methylphenidate and this risk should be carefully considered before prescribing to this group.
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Affiliation(s)
- Bruno Stricker
- Epidemiology, Erasmus Medical Center, Rotterdam, Zuid-Holland, The Netherlands
| | - Kiki Cheung
- Epidemiology, Erasmus Medical Center, Rotterdam, Zuid-Holland, The Netherlands
| | - Katia Verhamme
- Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
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van de Loo B, Seppala LJ, van der Velde N, Medlock S, Denkinger M, de Groot LCPGM, Kenny RA, Moriarty F, Rothenbacher D, Stricker B, Uitterlinden A, Abu-Hanna A, Heymans MW, van Schoor N. Development of the AD FICE_IT models for predicting falls and recurrent falls in community-dwelling older adults: pooled analyses of European cohorts with special attention to medication. J Gerontol A Biol Sci Med Sci 2022; 77:1446-1454. [PMID: 35380638 PMCID: PMC9255686 DOI: 10.1093/gerona/glac080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Indexed: 11/13/2022] Open
Abstract
Background Use of fall prevention strategies requires detection of high-risk patients. Our goal was to develop prediction models for falls and recurrent falls in community-dwelling older adults and to improve upon previous models by using a large, pooled sample and by considering a wide range of candidate predictors, including medications. Methods Harmonized data from 2 Dutch (LASA, B-PROOF) and 1 German cohort (ActiFE Ulm) of adults aged ≥65 years were used to fit 2 logistic regression models: one for predicting any fall and another for predicting recurrent falls over 1 year. Model generalizability was assessed using internal–external cross-validation. Results Data of 5 722 participants were included in the analyses, of whom 1 868 (34.7%) endured at least 1 fall and 702 (13.8%) endured a recurrent fall. Positive predictors for any fall were: educational status, depression, verbal fluency, functional limitations, falls history, and use of antiepileptics and drugs for urinary frequency and incontinence; negative predictors were: body mass index (BMI), grip strength, systolic blood pressure, and smoking. Positive predictors for recurrent falls were: educational status, visual impairment, functional limitations, urinary incontinence, falls history, and use of anti-Parkinson drugs, antihistamines, and drugs for urinary frequency and incontinence; BMI was a negative predictor. The average C-statistic value was 0.65 for the model for any fall and 0.70 for the model for recurrent falls. Conclusion Compared with previous models, the model for recurrent falls performed favorably while the model for any fall performed similarly. Validation and optimization of the models in other populations are warranted.
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Affiliation(s)
- Bob van de Loo
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Lotta J Seppala
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Nathalie van der Velde
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Stephanie Medlock
- Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Michael Denkinger
- Institute for Geriatric Research, Ulm University at Agaplesion Bethesda Clinic, and Geriatric Center Ulm, Ulm, Germany
| | | | - Rose-Anne Kenny
- TILDA, Department of Medical Gerontology, Trinity College, Dublin, Ireland
| | - Frank Moriarty
- TILDA, Department of Medical Gerontology, Trinity College, Dublin, Ireland
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | - Bruno Stricker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - André Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ameen Abu-Hanna
- Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Martijn W Heymans
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Natasja van Schoor
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
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Arinze JT, Hofman A, de Roos EW, de Ridder MAJ, Verhamme KMC, Stricker B, Brusselle GG, Luik AI. The interrelationship of chronic cough and depression: a prospective population-based study. ERJ Open Res 2022; 8:00069-2022. [PMID: 35402604 PMCID: PMC8982749 DOI: 10.1183/23120541.00069-2022] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 02/07/2022] [Indexed: 11/12/2022] Open
Abstract
Background Chronic cough is a debilitating medical condition that is often complicated by psychomorbidities such as depressive symptoms. Nevertheless, little is known about the impact of chronic cough on the risk of developing depression. Therefore, we investigated the association between chronic cough and prevalent, incident and recurrent depression in a population-based sample of middle-aged and older persons. Methods Within the Rotterdam Study, a population-based cohort, we defined chronic cough as reporting daily coughing for ⩾3 months. Depression was assessed using the Center for Epidemiologic Studies Depression scale, clinical interviews and medical records. Associations between chronic cough and depression were determined with linear, logistic and Cox regression analyses. Results The study included 5877 participants (mean±sd age 72±8 years, 59% female) who contributed 37 287 person-years of follow-up. At baseline, participants with chronic cough reported more depressive symptoms (adjusted standardised mean difference 0.15, 95% CI 0.07–0.22) compared to those without chronic cough. Over time, chronic cough was associated with an increased risk of depression in participants with a history of depression (hazard ratio (HR) 1.45, 95% CI 1.13–1.84), but not in those without a history of depression (HR 0.91, 95% CI 0.68–1.22). Conclusions Adults with chronic cough have a disproportionate burden of depressive symptoms and an increased risk of recurrent depression. This highlights the importance of screening for depression in patients with chronic cough. Adults with chronic cough have a disproportionate burden of depressive symptoms and are more likely to suffer recurrent depression, highlighting the need for screening for depression in individuals with chronic coughhttps://bit.ly/3sPvYTd
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Arinze JT, Verhamme KMC, Stricker B, Brusselle GG. Persistent chronic cough and vitamin D deficiency. Epidemiology 2021. [DOI: 10.1183/13993003.congress-2021.oa2863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Arinze JT, Verhamme KMC, Luik AI, Stricker B, van Meurs JBJ, Brusselle GG. The interrelatedness of chronic cough and chronic pain. Eur Respir J 2021; 57:13993003.02651-2020. [PMID: 33122337 DOI: 10.1183/13993003.02651-2020] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 10/16/2020] [Indexed: 12/13/2022]
Abstract
Since chronic cough has common neurobiological mechanisms and pathophysiology with chronic pain, both clinical disorders might be interrelated. Hence, we examined the association between chronic cough and chronic pain in adult subjects in the Rotterdam Study, a large prospective population-based cohort study.Using a standardised questionnaire, chronic pain was defined as pain lasting up to 6 months and grouped into a frequency of weekly/monthly or daily pain. Chronic cough was described as daily coughing for at least 3 months duration. The longitudinal and cross-sectional associations were investigated bi-directionally.Of 7141 subjects in the study, 54% (n=3888) reported chronic pain at baseline. The co-prevalence of daily chronic pain and chronic cough was 4.4%. Chronic cough was more prevalent in subjects with daily and weekly/monthly chronic pain compared with those without chronic pain (13.8% and 10.3% versus 8.2%; p<0.001). After adjustment for potential confounders, prevalent chronic pain was significantly associated with incident chronic cough (OR 1.47, 95% CI 1.08-1.99). The association remained significant in subjects with daily chronic pain (OR 1.49, 95% CI 1.06-2.11) with a similar effect estimate, albeit non-significant in those with weekly/monthly chronic pain (OR 1.43, 95% CI 0.98-2.10). After adjustment for covariables, subjects with chronic cough had a significant risk of developing chronic pain (OR 1.63, 95% CI 1.02-2.62) compared with those without chronic cough.Chronic cough and chronic pain confer risk on each other among adult subjects, indicating that both conditions might share common risk factors and/or pathophysiologic mechanisms.
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Affiliation(s)
- Johnmary T Arinze
- Dept of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.,Dept of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Katia M C Verhamme
- Dept of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands.,Dept of Bioanalysis, Ghent University, Ghent, Belgium
| | - Annemarie I Luik
- Dept of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Bruno Stricker
- Dept of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Joyce B J van Meurs
- Dept of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Guy G Brusselle
- Dept of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.,Dept of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Dept of Respiratory Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
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Soroush N, Aarnoudse A, Shokri F, Van Den Berg M, Ahmadizar F, Stricker B. Association between digoxin use and sudden cardiac death in individuals with the rs10494366 variant of the NOS1AP gene. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3394] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Digoxin is one of the oldest cardiovascular medications still used to treat heart failure and atrial fibrillation. Due to its narrow therapeutic window, it is associated with life threatening intoxication and arrhythmias, and with QTc-shortening. Common genetic variation in the nitric oxide synthase-1 adaptor protein (NOS1AP) has been associated with QTc interval prolongation.
Purpose
We investigated whether the rs10494366 variant of the NOS1AP gene modified the risk of SCD in patients using digoxin.
Methods
In a prospective population-based cohort study, we included data of the three cohorts, started as of January 1st, 1991 until January 1st 2014. Digoxin current use on the date of cardiac death in cases and the same day of follow-up in the remainder of the cohort was a time-dependent exposure. The main outcome was SCD defined as sudden and unexpected death as a result of cardiac causes, according to international criteria. Identification and adjudication of SCD was performed independently, before the start of this study. We used Cox proportional hazard regression analysis to investigate the associations between NOS1AP rs10494366 variant and incident SCD among digoxin users compared to non-users. Associations were adjusted for age, sex (model 1) in addition to BMI, prevalent diabetes, myocardial infarction, baseline hypertension and smoking status (past, current, never) (model 2).
Results
We included 14,594 individuals, with a mean age of 65.3 (SD 10.3) years. Almost 59% were female. The cumulative incidence of SCD was 9.5% (609 cases) by the end of follow up. Among them, 98 (16%) individuals were exposed to digoxin at the time of death.
In model 1, NOS1AP rs10494366 variant was not associated with SCD in the total study population. However, an interaction term of the gene with the daily dose of digoxin was significantly associated with increased risk of SCD (p-value 0.0001). In model 2, the risk of SCD in current users of digoxin was 4.2 [95% CI 1.3–13.8] for the GG genotype; 2.1 [95% CI 1.1–4.2] for the GT genotype, and 1.5 [95% CI 0.7–3.2] for the TT genotype.
Conclusion
NOS1AP rs10494366 variant modified the risk of sudden cardiac death in users of digoxin. Our study suggests that individuals with the homozygous minor GG allele have a fourfold increased risk of sudden cardiac death.
Funding Acknowledgement
Type of funding source: None
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Affiliation(s)
- N Soroush
- Erasmus University Medical Centre, Rotterdam, Netherlands (The)
| | - A Aarnoudse
- Erasmus University Medical Centre, Rotterdam, Netherlands (The)
| | - F Shokri
- Erasmus University Medical Centre, Rotterdam, Netherlands (The)
| | - M Van Den Berg
- Erasmus University Medical Centre, Rotterdam, Netherlands (The)
| | - F Ahmadizar
- Erasmus University Medical Centre, Rotterdam, Netherlands (The)
| | - B Stricker
- Erasmus University Medical Centre, Rotterdam, Netherlands (The)
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13
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Caniglia EC, Rojas-Saunero LP, Hilal S, Licher S, Logan R, Stricker B, Ikram MA, Swanson SA. Emulating a target trial of statin use and risk of dementia using cohort data. Neurology 2020; 95:e1322-e1332. [PMID: 32753444 DOI: 10.1212/wnl.0000000000010433] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Accepted: 03/16/2020] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE Observational data can be used to attempt to emulate a target trial of statin use and estimate analogues of intention-to-treat and per protocol effects on dementia risk. METHODS Using data from a prospective cohort study in the Netherlands, we conceptualized a sequence of "trials" in which eligible individuals ages 55-80 years were classified as statin initiators or noninitiators for every consecutive month between 1993 and 2007 and were followed until diagnosis of dementia, death, loss to follow-up, or the end of follow-up. We estimated 2 types of effects of statin use on dementia and a combined endpoint of dementia or death: the effect of initiation vs no initiation and the effect of sustained use vs no use. We estimated risk by statin treatment strategy over time via pooled logistic regression. We used inverse-probability weighting to account for treatment-confounder feedback in estimation of per-protocol effects. RESULTS Of 233,526 eligible person-trials (6,373 individuals), there were 622 initiators and 232,904 noninitiators. Comparing statin initiation with no initiation, the 10-year risk differences (95% confidence interval) were -0.1% (-2.3% to 1.8%) for dementia and 0.3% (-2.7% to 3.3%) for dementia or death. Comparing sustained statin use vs no use, the 10-year risk differences were -2.2% (-5.2% to 1.6%) for dementia and -5.1% (-10.5% to -1.1%) for dementia or death. CONCLUSIONS Individuals with sustained statin use, but not statin initiation alone, had reduced 10-year risks of dementia and dementia or death. Our results should be interpreted with caution due to the small number of initiators and events and potential for residual confounding.
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Affiliation(s)
- Ellen C Caniglia
- From the Department of Population Health (E.C.C.), New York University School of Medicine, New York; Departments of Epidemiology (L.P.R.-S., S.H., S.L., B.S., M.A.I., S.A.S.) and Radiology and Nuclear Medicine (S.H.), Erasmus MC-University Medical Center Rotterdam, the Netherlands; and Department of Epidemiology (E.C.C., R.L., S.A.S.), Harvard T.H. Chan School of Public Health, Boston, MA. S. Hilal is presently at Saw Swee Hock School of Public Health, National University of Singapore.
| | - L Paloma Rojas-Saunero
- From the Department of Population Health (E.C.C.), New York University School of Medicine, New York; Departments of Epidemiology (L.P.R.-S., S.H., S.L., B.S., M.A.I., S.A.S.) and Radiology and Nuclear Medicine (S.H.), Erasmus MC-University Medical Center Rotterdam, the Netherlands; and Department of Epidemiology (E.C.C., R.L., S.A.S.), Harvard T.H. Chan School of Public Health, Boston, MA. S. Hilal is presently at Saw Swee Hock School of Public Health, National University of Singapore
| | - Saima Hilal
- From the Department of Population Health (E.C.C.), New York University School of Medicine, New York; Departments of Epidemiology (L.P.R.-S., S.H., S.L., B.S., M.A.I., S.A.S.) and Radiology and Nuclear Medicine (S.H.), Erasmus MC-University Medical Center Rotterdam, the Netherlands; and Department of Epidemiology (E.C.C., R.L., S.A.S.), Harvard T.H. Chan School of Public Health, Boston, MA. S. Hilal is presently at Saw Swee Hock School of Public Health, National University of Singapore
| | - Silvan Licher
- From the Department of Population Health (E.C.C.), New York University School of Medicine, New York; Departments of Epidemiology (L.P.R.-S., S.H., S.L., B.S., M.A.I., S.A.S.) and Radiology and Nuclear Medicine (S.H.), Erasmus MC-University Medical Center Rotterdam, the Netherlands; and Department of Epidemiology (E.C.C., R.L., S.A.S.), Harvard T.H. Chan School of Public Health, Boston, MA. S. Hilal is presently at Saw Swee Hock School of Public Health, National University of Singapore
| | - Roger Logan
- From the Department of Population Health (E.C.C.), New York University School of Medicine, New York; Departments of Epidemiology (L.P.R.-S., S.H., S.L., B.S., M.A.I., S.A.S.) and Radiology and Nuclear Medicine (S.H.), Erasmus MC-University Medical Center Rotterdam, the Netherlands; and Department of Epidemiology (E.C.C., R.L., S.A.S.), Harvard T.H. Chan School of Public Health, Boston, MA. S. Hilal is presently at Saw Swee Hock School of Public Health, National University of Singapore
| | - Bruno Stricker
- From the Department of Population Health (E.C.C.), New York University School of Medicine, New York; Departments of Epidemiology (L.P.R.-S., S.H., S.L., B.S., M.A.I., S.A.S.) and Radiology and Nuclear Medicine (S.H.), Erasmus MC-University Medical Center Rotterdam, the Netherlands; and Department of Epidemiology (E.C.C., R.L., S.A.S.), Harvard T.H. Chan School of Public Health, Boston, MA. S. Hilal is presently at Saw Swee Hock School of Public Health, National University of Singapore
| | - M Arfan Ikram
- From the Department of Population Health (E.C.C.), New York University School of Medicine, New York; Departments of Epidemiology (L.P.R.-S., S.H., S.L., B.S., M.A.I., S.A.S.) and Radiology and Nuclear Medicine (S.H.), Erasmus MC-University Medical Center Rotterdam, the Netherlands; and Department of Epidemiology (E.C.C., R.L., S.A.S.), Harvard T.H. Chan School of Public Health, Boston, MA. S. Hilal is presently at Saw Swee Hock School of Public Health, National University of Singapore
| | - Sonja A Swanson
- From the Department of Population Health (E.C.C.), New York University School of Medicine, New York; Departments of Epidemiology (L.P.R.-S., S.H., S.L., B.S., M.A.I., S.A.S.) and Radiology and Nuclear Medicine (S.H.), Erasmus MC-University Medical Center Rotterdam, the Netherlands; and Department of Epidemiology (E.C.C., R.L., S.A.S.), Harvard T.H. Chan School of Public Health, Boston, MA. S. Hilal is presently at Saw Swee Hock School of Public Health, National University of Singapore
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14
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Benz GE, De Roos EW, Trajanoska K, Wijnant S, Van Den Berg M, De Ridder M, Van Der Burgh L, Koromani F, Erler NS, Williams R, Lahousse L, Verhamme K, Ikram MA, Stricker B, Rivadeneira F, Brusselle G. Longitudinal changes in appendicular skeletal muscle mass among asthma and COPD subjects: The Rotterdam Study. Epidemiology 2020. [DOI: 10.1183/13993003.congress-2020.1437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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15
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de Las Fuentes L, Sung YJ, Sitlani CM, Avery CL, Bartz TM, Keyser CD, Evans DS, Li X, Musani SK, Ruiter R, Smith AV, Sun F, Trompet S, Xu H, Arnett DK, Bis JC, Broeckel U, Busch EL, Chen YDI, Correa A, Cummings SR, Floyd JS, Ford I, Guo X, Harris TB, Ikram MA, Lange L, Launer LJ, Reiner AP, Schwander K, Smith NL, Sotoodehnia N, Stewart JD, Stott DJ, Stürmer T, Taylor KD, Uitterlinden A, Vasan RS, Wiggins KL, Cupples LA, Gudnason V, Heckbert SR, Jukema JW, Liu Y, Psaty BM, Rao DC, Rotter JI, Stricker B, Wilson JG, Whitsel EA. Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry. Pharmacogenomics J 2019; 20:482-493. [PMID: 31806883 PMCID: PMC7260079 DOI: 10.1038/s41397-019-0132-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 11/13/2019] [Accepted: 11/20/2019] [Indexed: 01/11/2023]
Abstract
Hypertension (HTN) is a significant risk factor for cardiovascular morbidity and mortality. Metabolic abnormalities, including adverse cholesterol and triglycerides (TG) profiles, are frequent comorbid findings with HTN and contribute to cardiovascular disease. Diuretics, which are used to treat HTN and heart failure, have been associated with worsening of fasting lipid concentrations. Genome-wide meta-analyses with 39,710 European-ancestry (EA) individuals and 9,925 African-ancestry (AA) individuals were performed to identify genetic variants that modify the effect of loop or thiazide diuretic use on blood lipid concentrations. Both longitudinal and cross-sectional data were used to compute cohort-specific interaction results, which were then combined through meta-analysis in each ancestry. These ancestry-specific results were further combined through trans-ancestry meta-analysis. Analysis of EA data identified two genome-wide significant (p < 5×10−8) loci with single nucleotide variant (SNV)-loop diuretic interaction on TG concentrations (including COL11A1). Analysis of AA data identified one genome-wide significant locus adjacent to BMP2 with SNV-loop diuretic interaction on TG concentrations. Trans-ancestry analysis strengthened evidence of association for SNV-loop diuretic interaction at two loci (KIAA1217 and BAALC). There were few significant SNV-thiazide diuretic interaction associations on TG concentrations and for either diuretic on cholesterol concentrations. Several promising loci were identified that may implicate biologic pathways that contribute to adverse metabolic side effects from diuretic therapy.
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Affiliation(s)
- L de Las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, USA.
| | - Y J Sung
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - C M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - C L Avery
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - T M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - C de Keyser
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - D S Evans
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - X Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - S K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - R Ruiter
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - F Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - H Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - D K Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, KY, USA
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - U Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - E L Busch
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Y-D I Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - A Correa
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - S R Cummings
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - J S Floyd
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA
| | - I Ford
- Robertson Center for biostatistics, University of Glasgow, Glasgow, UK
| | - X Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - T B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - M A Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - L Lange
- Department of Genetics, University of Colorado, Denver, Denver, CO, USA
| | - L J Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - A P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,School of Public Health, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - K Schwander
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - N L Smith
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA.,Seattle Epidemiologic Research and Information Center (ERIC), VA Cooperative Studies Program, VA Puget Sound Health Care System, Seattle, WA, USA
| | - N Sotoodehnia
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA.,Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - J D Stewart
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - D J Stott
- Institute of cardiovascular and medical sciences, Faculty of Medicine, University of Glasgow, Glasgow, United Kingdom
| | - T Stürmer
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,Center for Pharmacoepidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - A Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - R S Vasan
- The Framingham Heart Study, Framingham, MA, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - K L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - L A Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - S R Heckbert
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.,Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Y Liu
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest University, Winston-, Salem, NC, USA
| | - B M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA, USA.,Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - D C Rao
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - B Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - J G Wilson
- Biophysics and Physiology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - E A Whitsel
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,School of Medicine, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
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16
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Arinze JT, Van De Roos EW, Verhamme KMC, Stricker B, Brusselle GG. Prevalence and incidence of chronic cough in middle-aged and older subjects: The Rotterdam Study. Epidemiology 2019. [DOI: 10.1183/13993003.congress-2019.oa1586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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17
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Wijnant S, De Roos E, Kavousi M, Stricker B, Terzikhan N, Lahousse L, Brusselle G. Preserved Ratio Impaired Spirometry (PRISm) and mortality: the Rotterdam Study. Epidemiology 2019. [DOI: 10.1183/13993003.congress-2019.pa4421] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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18
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de Roos EW, Lahousse L, Ikram A, Stricker B, Brusselle G. Asthma exacerbation patterns in middle-aged and older adults; the Rotterdam Study. Epidemiology 2019. [DOI: 10.1183/13993003.congress-2019.pa5070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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19
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van Setten J, Verweij N, Mbarek H, Niemeijer MN, Trompet S, Arking DE, Brody JA, Gandin I, Grarup N, Hall LM, Hemerich D, Lyytikäinen LP, Mei H, Müller-Nurasyid M, Prins BP, Robino A, Smith AV, Warren HR, Asselbergs FW, Boomsma DI, Caulfield MJ, Eijgelsheim M, Ford I, Hansen T, Harris TB, Heckbert SR, Hottenga JJ, Iorio A, Kors JA, Linneberg A, MacFarlane PW, Meitinger T, Nelson CP, Raitakari OT, Silva Aldana CT, Sinagra G, Sinner M, Soliman EZ, Stoll M, Uitterlinden A, van Duijn CM, Waldenberger M, Alonso A, Gasparini P, Gudnason V, Jamshidi Y, Kääb S, Kanters JK, Lehtimäki T, Munroe PB, Peters A, Samani NJ, Sotoodehnia N, Ulivi S, Wilson JG, de Geus EJC, Jukema JW, Stricker B, van der Harst P, de Bakker PIW, Isaacs A. Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits. Eur J Hum Genet 2019; 27:952-962. [PMID: 30679814 PMCID: PMC6777533 DOI: 10.1038/s41431-018-0295-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 10/05/2018] [Accepted: 10/16/2018] [Indexed: 01/09/2023] Open
Abstract
Genome-wide association studies (GWAS) of quantitative electrocardiographic (ECG) traits in large consortia have identified more than 130 loci associated with QT interval, QRS duration, PR interval, and heart rate (RR interval). In the current study, we meta-analyzed genome-wide association results from 30,000 mostly Dutch samples on four ECG traits: PR interval, QRS duration, QT interval, and RR interval. SNP genotype data was imputed using the Genome of the Netherlands reference panel encompassing 19 million SNPs, including millions of rare SNPs (minor allele frequency < 5%). In addition to many known loci, we identified seven novel locus-trait associations: KCND3, NR3C1, and PLN for PR interval, KCNE1, SGIP1, and NFKB1 for QT interval, and ATP2A2 for QRS duration, of which six were successfully replicated. At these seven loci, we performed conditional analyses and annotated significant SNPs (in exons and regulatory regions), demonstrating involvement of cardiac-related pathways and regulation of nearby genes.
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Affiliation(s)
- Jessica van Setten
- Division Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands.
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hamdi Mbarek
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leanne M Hall
- Department of Cardiovascular Sciences, University of Leicester, Leicester, England
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Groby Road, Leicester, UK
| | - Daiane Hemerich
- Division Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
- CAPES Foundation, Ministry of Education of Brazil, Brasília, DF, 70040-020, Brazil
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, 33520, Tampere, Finland
| | - Hao Mei
- Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Department of Medicine I, Ludwig-Maximilians-Universität, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Germany
| | - Bram P Prins
- Human Genetics Research Centre, ICCS, St George's University of London, London, UK
| | - Antonietta Robino
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo", Trieste, Italy
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykavik, Iceland
| | - Helen R Warren
- William Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Research Centre, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK
| | - Folkert W Asselbergs
- Division Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, The Netherlands
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, and Farr Institute of Health Informatics Research and Institute of Health Informatics, University College London, London, UK
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mark J Caulfield
- William Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Research Centre, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK
| | - Mark Eijgelsheim
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Nephrology, University Medical Center Groningen, Groningen, The Netherlands
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tamara B Harris
- Laboratory of Epidemiology, Demography and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annamaria Iorio
- Cardiovascular Department, "Ospedali Riuniti and University of Trieste", Trieste, Italy
| | - Jan A Kors
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital-The Capital Region, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Thomas Meitinger
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, England
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Groby Road, Leicester, UK
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, 20520, Finland
| | - Claudia T Silva Aldana
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Doctoral Program in Biomedical Sciences, Universidad del Rosario, Bogotá, Colombia
- Institute of translational Medicine-IMT-Center For Research in Genetics and Genomics-CIGGUR, GENIUROS Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Rosario, Colombia
| | - Gianfranco Sinagra
- Cardiovascular Department, "Ospedali Riuniti and University of Trieste", Trieste, Italy
| | - Moritz Sinner
- Department of Medicine I, Ludwig-Maximilians-Universität, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center (EPICARE), Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Monika Stoll
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, The Netherlands
- Department of Biochemistry, Maastricht University, Maastricht, The Netherlands
| | - Andre Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Melanie Waldenberger
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Research unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Paolo Gasparini
- DSM, University of Trieste, Trieste, Italy
- IRCCS-Burlo Garofolo Children Hospital, Via dell'Istria 65, Trieste, Italy
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykavik, Iceland
| | - Yalda Jamshidi
- Human Genetics Research Centre, ICCS, St George's University of London, London, UK
| | - Stefan Kääb
- Department of Medicine I, Ludwig-Maximilians-Universität, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Jørgen K Kanters
- Laboratory of Experimental Cardiology, University of Copenhagen, Copenhagen, Denmark
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, 33520, Tampere, Finland
| | - Patricia B Munroe
- William Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Research Centre, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK
| | - Annette Peters
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, England
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Groby Road, Leicester, UK
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, WA, USA
| | - Sheila Ulivi
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo", Trieste, Italy
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Eco J C de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Bruno Stricker
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, The Netherlands
| | - Paul I W de Bakker
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Aaron Isaacs
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, The Netherlands.
- Department of Biochemistry, Maastricht University, Maastricht, The Netherlands.
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Mulder M, Baan E, Verbon A, Stricker B, Verhamme K. Trends of prescribing antimicrobial drugs for urinary tract infections in primary care in the Netherlands: a population-based cohort study. BMJ Open 2019; 9:e027221. [PMID: 31110099 PMCID: PMC6530323 DOI: 10.1136/bmjopen-2018-027221] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE Urinary tract infections (UTIs) are an important reason to consult a general practitioner (GP). Here, we describe antimicrobial drug prescribing patterns for UTIs by GPs in relation to the Dutch primary care guidelines. METHODS We conducted a population-based cohort study in the Dutch Integrated Primary Care Information (IPCI)database, which encompasses approximately 2.5 million patients. All patients aged ≥12 years with at least 1 year of follow-up from 1996 to 2014 were extracted from the database. The number of prescriptions and choice of drug type were investigated over time and in different age categories. The choice of antimicrobial drug classes for UTIs and the duration of nitrofurantoin use in women were compared with the Dutch primary care guidelines of 1989, 1999, 2005 and 2013. RESULTS The source population comprised 1 755 085 patients who received 2 019 335 antimicrobial drug prescriptions; 401 655 (35.1%) prescriptions were for UTIs (45.2% in women and 12.6% in men). The proportion of prescriptions for UTIs within all prescriptions with an indication code increased from 5.2% in 1996 to 14% in 2014 in men and from 28% in 1996 to 50% in 2014 in women. In men, UTIs were most frequently treated with fluoroquinolones during the entire study period, whereas fluoroquinolones were only advised as first choice in the latest guideline of 2013. In women, UTIs were increasingly (p<0.05) treated with nitrofuran derivatives with a statistically significant difference after implementation of the guideline of 2005. Compliance to the advised duration of nitrofurantoin prescriptions in women has increased since the guideline of 2005. CONCLUSIONS Antimicrobial drug prescribing for UTIs seemed to have increased over time. Prescribing in line with the UTI guidelines increased with regard to choice and duration of antimicrobial drugs. We showed that databases like IPCI, in which prescription and indication are monitored, can be valuable antibiotic stewardship tools.
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Affiliation(s)
- Marlies Mulder
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Health and Youth Care Inspectorate, Heerlen, The Netherlands
| | - Esmé Baan
- Department of Medical Informatics, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Annelies Verbon
- Department of Medical Microbiology and Infectious Diseases, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Bruno Stricker
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Health and Youth Care Inspectorate, Heerlen, The Netherlands
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Katia Verhamme
- Department of Medical Informatics, Erasmus Medical Centre, Rotterdam, The Netherlands
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, University of Ghent, Ghent, Belgium
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Terzikhan N, Sun F, Verhamme F, Adams H, Loth D, Bracke K, Stricker B, Lahousse L, Dupuis J, Brusselle G, O'Conner G. Heritability and genome-wide association study of diffusing capacity of the lung (DLCO). Genes Environ 2018. [DOI: 10.1183/13993003.congress-2018.oa2189] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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22
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De Roos E, Koolhaas C, In 'T Veen J, Stricker B, Brusselle G, Lahousse L. Physical activity in middle-aged and older asthmatics. Epidemiology 2018. [DOI: 10.1183/13993003.congress-2018.pa3907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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23
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Trajanoska K, Schoufour JD, Darweesh SK, Benz E, Medina-Gomez C, Alferink LJ, Lahousse L, Brusselle G, Stricker B, Darwish Murad S, Zillikens MC, Uitterlinden AG, Ikram MA, Franco OH, Rivadeneira F. Sarcopenia and Its Clinical Correlates in the General Population: The Rotterdam Study. J Bone Miner Res 2018; 33:1209-1218. [PMID: 29502340 DOI: 10.1002/jbmr.3416] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 01/25/2018] [Accepted: 02/19/2018] [Indexed: 01/01/2023]
Abstract
Sarcopenia, a complex multifactorial condition, is characterized by loss of muscle mass and function, which increases progressively with age. The existence of different definitions has contributed to the large variation in the prevalence estimates of sarcopenia. We aimed to estimate the prevalence of sarcopenia in the general population using the European Working Group on Sarcopenia in Older People (EWGSOP) proposed definition and compared baseline demographic and clinical characteristics between the nonsarcopenia, presarcopenia, and sarcopenia individuals, with particular emphasis on the overlap with osteoporosis and fracture risk. We studied 5911 subjects at a mean age of 69.2 years (55.8% female) with data on sarcopenia participating in the Rotterdam Study, a prospective population-based cohort study in Rotterdam, the Netherlands. Presarcopenia was defined as having only low muscle mass, whereas sarcopenia was defined based on the presence of low muscle mass, plus either low muscle strength or low physical performance. The prevalence of presarcopenia and sarcopenia was 5.9% and 4.4%, respectively. Individuals with sarcopenia were older, more often males, smokers, with less optimal dietary intake, and more often disabled with lower physical activity. Although the prevalence of fractures was higher in individuals with low lean mass (presarcopenic [16.6%] and sarcopenic [23.5%]) compared with the no sarcopenic group (15.5%), the differences were not present after correcting for age and sex. There were no statistical differences in the prevalence of chronic diseases, with the exception of a higher prevalence of COPD in presarcopenic (29.1%) and sarcopenic (26.9%) individuals compared with nonsarcopenic (13.4%) individuals. Osteoporotic individuals with (odds ratio [OR] = 2.59, 95% confidence interval [CI] 1.41-4.45) and without sarcopenia (OR = 2.75, 95% CI 2.01-3.75) had similar elevated risk of nonvertebral fractures. The presence of sarcopenia appears to be independent of chronic diseases with the exception of COPD and more related to lifestyle factors and disabilities. Sarcopenic individuals in the general population are at no greater risk of fracture than what is determined by their low bone mineral density. © 2018 American Society for Bone and Mineral Research.
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Affiliation(s)
- Katerina Trajanoska
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Josje D Schoufour
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sirwan Kl Darweesh
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Elizabeth Benz
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Louise Jm Alferink
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lies Lahousse
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Respiratory Medicine, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Guy Brusselle
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Respiratory Medicine, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Bruno Stricker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sarwa Darwish Murad
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
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Tantiyavarong P, Kieboom B, Chaker L, Darwish Murad S, Stricker B, Ikram MA, Hoorn E, Sedaghat S. FP043RENAL CYSTS IN THE GENERAL POPULATION: ASSOCIATIONS WITH KIDNEY FUNCTION AND MORTALITY. Nephrol Dial Transplant 2018. [DOI: 10.1093/ndt/gfy104.fp043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Pichaya Tantiyavarong
- Division of Clinical Epidemiology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
- Division of Nephrology, Thammasat University Hospital, Pathumthani, Thailand
| | - Brenda Kieboom
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Layal Chaker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Sarwa Darwish Murad
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Bruno Stricker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Ewout Hoorn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Sanaz Sedaghat
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
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Visser S, Koolen S, de Bruijn P, Stricker B, Mathijssen R, Aerts J. 168P Pemetrexed dosing regimens in patients with advanced NSCLC. J Thorac Oncol 2018. [DOI: 10.1016/s1556-0864(18)30442-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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26
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Penning-van Beest F, Meegen EV, Rosendaal F, Stricker B. Characteristics of Anticoagulant Therapy and Comorbidity Related to Overanticoagulation. Thromb Haemost 2017. [DOI: 10.1055/s-0037-1616088] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
SummaryThe risk of hemorrhage when using coumarin anticoagulants sharply increases when the International Normalised Ratio (INR) is ≥6.0. We performed a prospective cohort study with a nested case-control design among 17,056 outpatients of an anticoagulation clinic to determine the incidence of overanticoagulation and to study the association between overanticoagulation and characteristics of anticoagulant therapy and comorbidity. The incidence rate of an INR ≥6.0 was 7.8 per 10,000 treatment days in prevalent users on the starting date and 22.5 per 10,000 treatment days in incident users during the study period. 300 cases with an INR ≥6.0 were compared with 302 randomly selected matched controls with an INR within the target zone. Patients on acenocoumarol had an increased risk of an INR ≥6.0 compared to patients on phenprocoumon. Regarding comorbidity, impaired liver function, congestive heart failure, diarrhea and fever were risk factors for overanticoagulation. Increased monitoring of INR values if risk factors are present or avoidance of risk factors could prevent excess anticoagulation and potential bleeding complications.
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Berger F, Saâïd S, van Gelder T, Stricker B, Becker M, van den Bemt P. Media attention regarding sudden cardiac death associated with domperidone use does not affect in hospital ECG recording. Pharmacoepidemiol Drug Saf 2017; 26:1418-1424. [DOI: 10.1002/pds.4321] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 07/27/2017] [Accepted: 08/21/2017] [Indexed: 11/11/2022]
Affiliation(s)
- Florine Berger
- Department of Hospital Pharmacy; Erasmus University Medical Centre; Rotterdam the Netherlands
| | - Selma Saâïd
- Department of Hospital Pharmacy; Sint Franciscus Gasthuis; Rotterdam the Netherlands
| | - Teun van Gelder
- Department of Hospital Pharmacy; Erasmus University Medical Centre; Rotterdam the Netherlands
- Department of Internal Medicine; Erasmus University Medical Centre; Rotterdam the Netherlands
| | - Bruno Stricker
- Department of Internal Medicine; Erasmus University Medical Centre; Rotterdam the Netherlands
- Department of Epidemiology; Erasmus University Medical Centre; Rotterdam the Netherlands
| | - Matthijs Becker
- Pharmacy Foundation of Haarlem Hospitals; Haarlem the Netherlands
| | - Patricia van den Bemt
- Department of Hospital Pharmacy; Erasmus University Medical Centre; Rotterdam the Netherlands
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28
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De Roos E, Lahousse L, Ikram A, Stricker B, Brusselle G, Verhamme K. Prevalence of hypertension among elderly asthmatics: the Rotterdam Study. Epidemiology 2017. [DOI: 10.1183/1393003.congress-2017.pa2623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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29
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Terzikhan N, Lahousse L, Verhamme K, Franco O, Brusselle G, Stricker B. Increased risk of peripheral arterial disease in individuals with COPD. Epidemiology 2017. [DOI: 10.1183/1393003.congress-2017.pa1567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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30
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Lahousse L, Seys L, Joos G, Franco O, Stricker B, Brusselle G. Sex-differences in mortality within the COPD chronic bronchitis phenotype. Epidemiology 2017. [DOI: 10.1183/1393003.congress-2017.pa1564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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31
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Mujaj B, Bos D, Muka T, Van Der Lugt A, Ikram M, Vernooij M, Stricker B, Franco O. 5773Anticoagulant and antithrombotic therapy is associated with intraplaque hemorrhage in the carotid artery: the rotterdam study. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx493.5773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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32
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Mujaj B, Bos D, Selwaness M, Leening M, Kavousi M, Wentzel J, Van Der Lugt A, Hofman A, Stricker B, Vernooij M, Franco O. P1406Statin use is associated with carotid plaque composition: The Rotterdam Study. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx502.p1406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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33
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Visser S, Huisbrink J, Van Toor J, Van Walree N, Stricker B, Aerts J. P2.03a-012 Nephrotoxicity in Patients with Advanced NSCLC Receiving Pemetrexed-Based Chemotherapy. J Thorac Oncol 2017. [DOI: 10.1016/j.jtho.2016.11.1221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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34
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Visser S, De Mol M, Van Walree N, Van Toor J, Den Oudsten B, Stricker B, Aerts J. P1.06-014 What Factors Determine Treatment Satisfaction in Patients with Advanced NSCLC Receiving Chemotherapy? J Thorac Oncol 2017. [DOI: 10.1016/j.jtho.2016.11.878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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35
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Schoufour JD, Erler NS, Jaspers L, Kiefte-de Jong JC, Voortman T, Ziere G, Lindemans J, Klaver CC, Tiemeier H, Stricker B, Ikram AM, Laven JSE, Brusselle GGO, Rivadeneira F, Franco OH. Design of a frailty index among community living middle-aged and older people: The Rotterdam study. Maturitas 2016; 97:14-20. [PMID: 28159055 DOI: 10.1016/j.maturitas.2016.12.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 10/28/2016] [Accepted: 12/09/2016] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To design a frailty index (FI) and evaluate three methods to handle missing data. Furthermore, we evaluated its construct (i.e., skewed distribution, correlation with age and sub-maximum score) and criterion validity (based on mortality risk). STUDY DESIGN We included 11,539 participants (45± years) from a population-based cohort in the Netherlands. Frailty was measured with a FI, which we constructed based on the accumulation of 45 health-related variables, related to mood, cognition, functional status, diseases and conditions, biomarkers, and nutritional status. A total FI-score was calculated by averaging the scores of the deficits, resulting in a score between 0 and 1, with higher scores indicating increasing frailty. Mean imputation, single- and multiple imputation were applied. MAIN OUTCOME MEASURE Mortality data were obtained by notification from the municipal administration. Median follow-up time was 9.5 years, during which 3902 (34%) participants died. RESULTS The median FI for the full population was 0.16 (IQR=0.11-0.23). The distribution of the FI was slightly right-skewed, the absolute maximum score was 0.78 and there was a strong correlation with age (Pearson correlation=0.52;95%CI=0.51-0.54). The adjusted HR per unit increase in FI-score on mortality was 1.05 (95%CI=1.05-1.06). Multiple imputation seemed to provide more robust results than mean imputation. CONCLUSION Based on our results we advise to the use of at least 30 deficits from different health domains to construct a FI if data are not imputed. Future research should use the continuous nature of the FI to monitor trajectories in frailty and find preventive strategies.
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Affiliation(s)
| | - Nicole S Erler
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands; Department of Biostatistics, Erasmus MC, Rotterdam, the Netherlands
| | - Loes Jaspers
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Jessica C Kiefte-de Jong
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands; Leiden University College, The Hague,the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Gijsbertus Ziere
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Jan Lindemans
- Department of Clinical Chemistry, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Caroline C Klaver
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands; Department of Ophthalmology, Erasmus MC, Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Bruno Stricker
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Arfan M Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Joop S E Laven
- Division of Reproductive Medicine, Department of Obstetrics and Gynaecology, Erasmus MC, Rotterdam, the Netherlands
| | - Guy G O Brusselle
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands; Department of Respiratory Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands; Department of Internal Medicine, Erasmus MC, 3000 CA Rotterdam, the Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
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Gulmez SE, Moore N, Pageaux GP, Lignot S, Horsmans Y, Stricker B, Bernuau J, Bissoli F, Thorburn D, Montastruc JL, Micon S, Hamoud F, Lassalle R, Jové J, Blin P, Larrey D. Causality of Drugs Involved in Acute Liver Failure Leading to Transplantation: Results from the Study of Acute Liver Transplant (SALT). Drug Saf 2016; 36:757-64. [PMID: 23743692 DOI: 10.1007/s40264-013-0071-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Several methods have been proposed to assess causality in drug-induced liver injury but none have been tested in the specific context of acute liver failure leading to transplantation (ALFT). OBJECTIVE We took advantage of the Study of Acute Liver Transplant (SALT), a European case-population study of ALFT, to test different causality scales. METHODS Causality was assessed by experts in SALT, a 7-country case-population study from 2005 to 2007 of adult otherwise unexplained ALFT, for all drugs found within 30 days prior to the date of initial symptoms of liver disease (index date), using information content, causality scales, and data circuit determined from a pilot study, Salome. RESULTS The consensus points from Salome were to provide full data on drugs including international non-proprietary name (INN) and doses except for non-steroidal anti-inflammatory drugs (NSAIDs) and to use the World Health Organization (WHO) causality scale. In SALT, among the 9,479 identified patients, 600 (6.3%) were cases of ALFT, of which 187 had been exposed to drugs within 30 days, without overdose. In 130 (69.5%) of these the causality score was possible, probable, or highly probable. CONCLUSION In ALFT cases, once other clinical causes have been excluded and drug exposure established within 30 days, the main discriminant characteristic for causality will be previous knowledge of possible hepatotoxicity.
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Affiliation(s)
- Sinem Ezgi Gulmez
- Department of Pharmacology, University of Bordeaux, 33000 Bordeaux, France.
- INSERM CIC-P0005, 33000, Bordeaux, France.
- INSERM CIC 0005 Pharmaco-épidémiologie, Service de Pharmacologie, Université Bordeaux Segalen, Bâtiment Le Tondu-Case 41, 146, Rue Léo Saignat, 33076, Bordeaux Cedex, France.
| | - Nicholas Moore
- Department of Pharmacology, University of Bordeaux, 33000, Bordeaux, France.
- INSERM CIC-P0005, 33000, Bordeaux, France.
- INSERM CIC 0005 Pharmaco-épidémiologie, Service de Pharmacologie, Université Bordeaux Segalen, Bâtiment Le Tondu-Case 41, 146, Rue Léo Saignat, 33076, Bordeaux Cedex, France.
| | | | - Severine Lignot
- Department of Pharmacology, University of Bordeaux, 33000, Bordeaux, France
- INSERM CIC-P0005, 33000, Bordeaux, France
| | - Yves Horsmans
- Département d'Hépatogastroentérologie, Université Catholique de Louvain, Bruxelles, Belgium
| | - Bruno Stricker
- Department of Epidemiology, Erasmus Medical Centre, 3015 CE, Rotterdam, The Netherlands
| | | | - Franco Bissoli
- Department of Internal Medicine and Cardiology, Clinica San Gaudenzio, Novara, Italy
| | - Douglas Thorburn
- Liver Transplantation Hepatobilliary Unit, Royal Free Hampstead NHS Trust, London, NW3-2QG, UK
| | - Jean-Louis Montastruc
- Pharmacologie médicale et clinique, CHU et Faculté de Médecine de Toulouse, INSERM 1027, 31000, Toulouse, France
| | - Sophie Micon
- Department of Pharmacology, University of Bordeaux, 33000, Bordeaux, France
- INSERM CIC-P0005, 33000, Bordeaux, France
| | - Fatima Hamoud
- Department of Pharmacology, University of Bordeaux, 33000, Bordeaux, France
- INSERM CIC-P0005, 33000, Bordeaux, France
| | - Régis Lassalle
- Department of Pharmacology, University of Bordeaux, 33000, Bordeaux, France
- INSERM CIC-P0005, 33000, Bordeaux, France
| | - Jérémy Jové
- Department of Pharmacology, University of Bordeaux, 33000, Bordeaux, France
- INSERM CIC-P0005, 33000, Bordeaux, France
| | - Patrick Blin
- Department of Pharmacology, University of Bordeaux, 33000, Bordeaux, France
- INSERM CIC-P0005, 33000, Bordeaux, France
| | - Dominique Larrey
- CHU Hôpital Saint-Eloi, INSERM1040-IRB, 34000, Montpellier, France
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Tiller D, Ittermann T, Greiser KH, Meisinger C, Agger C, Hofman A, Thuesen B, Linneberg A, Peeters R, Franco O, Heier M, Kluttig A, Werdan K, Stricker B, Schipf S, Markus M, Dörr M, Völzke H, Haerting J. Association of Serum Thyrotropin with Anthropometric Markers of Obesity in the General Population. Thyroid 2016; 26:1205-14. [PMID: 27393002 DOI: 10.1089/thy.2015.0410] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Except from associations study with body weight, there are few longitudinal data regarding the association between thyroid function and anthropometric measurements such as waist circumference, waist-to-hip ratio, or waist-to height ratio. OBJECTIVE This study aimed to investigate the association of thyrotropin (TSH) at baseline with changes in different anthropometric markers between baseline and follow-up in the general population. METHOD Data were used from four population-based longitudinal cohort studies and one population-based cross-sectional study. A total of 16,902 (8204 males) subjects aged 20-95 years from the general population were studied. Body mass index, waist circumference, waist-to-hip ratio, and waist-to-height ratio were measured. Multivariable median regression models were calculated adjusting for the following covariates: age, sex, baseline value of the respective anthropometric marker, smoking status, follow-up-time period, and study site. RESULTS In cross-sectional analyses, serum TSH within the reference range was positively associated with waist circumference (β = 0.94 cm [confidence interval (CI) 0.56-1.32]) and waist-to-height-ratio (β = 0.029 [CI 0.017-0.042]). These associations were also present for the full range of TSH. In the longitudinal analyses, serum TSH at baseline was inversely associated with a five-year change of all considered anthropometric measures within the prior defined study-specific reference range, as well as in the full range of serum TSH. CONCLUSION High TSH serum levels were positively associated with current anthropometric markers, even in the study-specific reference ranges. In contrast, high TSH serum levels were associated with decreased anthropometric markers over a time span of approximately five years. Further research is needed to determine possible clinical implications as well as public health consequences of these findings.
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Affiliation(s)
- Daniel Tiller
- 1 Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg , Halle (Saale), Germany
| | - Till Ittermann
- 2 Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
| | - Karin H Greiser
- 1 Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg , Halle (Saale), Germany
- 3 German Cancer Research Centre , Division of Cancer Epidemiology, Heidelberg, Germany
| | - Christa Meisinger
- 4 Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health , München, Germany
| | - Carsten Agger
- 5 Research Centre for Prevention and Health , the Capital Region, Denmark
| | - Albert Hofman
- 6 Department of Epidemiology, Department of Internal Medicine; Erasmus Medical Center , Rotterdam, The Netherlands
| | - Betina Thuesen
- 5 Research Centre for Prevention and Health , the Capital Region, Denmark
| | - Allan Linneberg
- 5 Research Centre for Prevention and Health , the Capital Region, Denmark
- 7 Department of Clinical Experimental Research, Rigshospitalet , Glostrup, Denmark
- 8 Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen , Copenhagen, Denmark
| | - Robin Peeters
- 5 Research Centre for Prevention and Health , the Capital Region, Denmark
- 9 Rotterdam Thyroid Center, Department of Internal Medicine; Erasmus Medical Center , Rotterdam, The Netherlands
| | - Oscar Franco
- 6 Department of Epidemiology, Department of Internal Medicine; Erasmus Medical Center , Rotterdam, The Netherlands
| | - Margit Heier
- 4 Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health , München, Germany
| | - Alexander Kluttig
- 1 Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg , Halle (Saale), Germany
| | - Karl Werdan
- 10 Department of Medicine III, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Bruno Stricker
- 6 Department of Epidemiology, Department of Internal Medicine; Erasmus Medical Center , Rotterdam, The Netherlands
| | - Sabine Schipf
- 2 Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
| | - Marcello Markus
- 2 Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
- 11 Department of Internal Medicine B, University Medicine Greifswald , Greifswald, Germany
- 12 DZHK (German Centre for Cardiovascular Research) , partner site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- 11 Department of Internal Medicine B, University Medicine Greifswald , Greifswald, Germany
- 12 DZHK (German Centre for Cardiovascular Research) , partner site Greifswald, Greifswald, Germany
| | - Henry Völzke
- 2 Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
- 12 DZHK (German Centre for Cardiovascular Research) , partner site Greifswald, Greifswald, Germany
| | - Johannes Haerting
- 1 Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg , Halle (Saale), Germany
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Darweesh S, Wolters FJ, Hofman A, Stricker B, Koudstaal PJ, Ikram MA. P1‐396: Simple Test of Manual Dexterity Can Identify Persons at High Risk for Neurodegenerative Diseases in The Community. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.1148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Sirwan Darweesh
- Erasmus MC University Medical CenterRotterdamNetherlands
- Harvard T.H. Chan School of Public HealthBostonMA USA
| | - Frank J. Wolters
- Harvard T.H. Chan School of Public HealthBostonMA USA
- Erasmus Medical CenterRotterdamNetherlands
| | - Albert Hofman
- Harvard T.H. Chan School of Public HealthBostonMA USA
- Erasmus Medical CenterRotterdamNetherlands
| | - Bruno Stricker
- Erasmus MC University Medical CenterRotterdamNetherlands
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Verhamme K, Goditiabois U, Engelkes M, Sturkenboom M, Stricker B, Brusselle G. AB028. Use of β-blockers and the risk of asthma exacerbations. J Thorac Dis 2016. [DOI: 10.21037/jtd.2016.s028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Stoop M, Visser S, van Dijk E, Stricker B, Luider T, Aerts J. Abstract 4482: A new quantification method for assessment of plasma concentrations of pemetrexed and its polyglutamate metabolites. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-4482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Pemetrexed (PMTX) is a multi-targeted antifolate drug applied in the treatment of diseases such as malignant pleural mesothelioma and non-small cell lung cancer. Assessment of therapeutic plasma drug and drug metabolite concentrations offers a useful tool for monitoring drug dosage, avoiding drug toxicity and obtaining therapeutic efficacy.
Stock solutions of synthesized PMTX and its (poly)-glutamyl metabolites (PMTXPG1-3), as well as their corresponding heavy labeled analogues (13C5, 15N (6 Da mass difference)) were prepared and spiked into plasma from healthy donors, and 2 M trichloroacetic acid (TCA) was added for protein precipitation. The samples were centrifuged at 5223 g and subsequently the supernatant was taken for measurement on a UHPLC-QqQ mass spectrometry set-up. After assessment of analytical factors such as linear response, stability, reproducibility and recovery, plasma of 4 non-small cell cancer patients undergoing PMTX treatment were measured to establish the methods ability for measuring clinically relevant concentrations.
The stability of patient samples stored at -80°C was monitored during a six month period, in which no statistically significant change in recovery between them (all recoveries were between 97-101%, no trend of decrease in time) was observed. The recovery of PMTX and its metabolites after the sample pretreatment procedure ranged between 45% and 79%. The relative standard deviations (RSD) in the biological replicates of the reproducibility analysis were 7.9% for PMTX, 5.9% for PMTXPG1, 7.2% for PMTXPG2 and 37.9% for PMTXPG3. For all analytes the linear response was determined over three orders of magnitude in concentration (0.2 to 500 nmol/L). Additionally, the limit of quantification (lowest quantifiable concentration (RSD < 20%)) was determined for all analytes. For PMTX, PMTXPG1 and PMTXPG2 subnanomolar limits of quantification were determined. The linear response for the compounds was determined by calculation of the correlation coefficient, which was better than 0.99 for all four analytes. In all four PMTX-treated patients the plasma concentrations of PMTX, PMTXPG1 and PMTXPG2 could be detected and quantified. PMTXPG3 was not detected in any of the tested clinical samples of the four patients.
In conclusion, a LC-MS/MS-based method to measure PMTX and its polyglutamate metabolites with minimal sample pretreatment is described. To our knowledge this is the first time measurement method for pemetrexed metabolites in human plasma is reported. The method also has relatively short measurement times and good performance in being able to quantify the drug and two of its metabolites at clinically relevant concentrations in plasma of patients with lung carcinoma.
Citation Format: Marcel Stoop, Sabine Visser, Evert van Dijk, Bruno Stricker, Theo Luider, Joachim Aerts. A new quantification method for assessment of plasma concentrations of pemetrexed and its polyglutamate metabolites. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4482. doi:10.1158/1538-7445.AM2015-4482
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Gulmez SE, Larrey D, Pageaux GP, Bernuau J, Bissoli F, Horsmans Y, Thorburn D, McCormick PA, Stricker B, Toussi M, Lignot-Maleyran S, Micon S, Hamoud F, Lassalle R, Jové J, Blin P, Moore N. Liver transplant associated with paracetamol overdose: results from the seven-country SALT study. Br J Clin Pharmacol 2015; 80:599-606. [PMID: 26017643 DOI: 10.1111/bcp.12635] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2014] [Revised: 02/24/2015] [Accepted: 03/03/2015] [Indexed: 02/05/2023] Open
Abstract
AIMS Acute drug overdose, especially with paracetamol, may cause acute liver failure leading to registration for transplantation (ALFT). Population statistics and between-country differences for ALFT related to overdose have been poorly described. The aim of the present study was to evaluate overdose ALFT in the multi-country Study of Acute Liver Transplantation (SALT). METHODS All adult overdose-related ALFT, with or without suicidal intent, in France, Greece, Ireland, Italy, the Netherlands, Portugal and the UK between 2005 and 2007 were identified from liver transplant registries and hospital records. These were compared with whole-country and per capita use of paracetamol. RESULTS Six hundred cases of ALFT were identified in 52 of 57 eligible transplant centres, of which 114 involved overdose (72 intentional, 10 non-intentional, 32 uncertain). Overdose represented 20% of all-cause ALFT: Ireland 52%, UK 28%, France 18%, the Netherlands 8%, and Italy 1%. Overdose ALFT were mostly females (61%), mean age 33.6 ± 10.9 years. A total of 111 (97%) of the overdoses involved paracetamol. Event rates ranged from one ALFT for 20.7 tons of paracetamol in Ireland, to one for 1074 tons in Italy and one case in 60 million inhabitants over 3 years in Italy to one case in 286 000 inhabitants per year in Ireland. Per-country event rates for non-overdose ALFT exposed to paracetamol were between 2.5 and 4.0 per million treatment-years sold. CONCLUSIONS Paracetamol overdose was found to represent one-sixth of all-cause ALFT. There was a 50-fold difference in Europe in the rates of paracetamol overdose ALFT, and a 200-fold difference per million inhabitants.
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Affiliation(s)
- Sinem Ezgi Gulmez
- CIC Bordeaux CIC1401 Pharmaco-épidémiologie, Université de Bordeaux, F-33076, Bordeaux, France
| | | | | | | | - Franco Bissoli
- Department of Internal Medicine, Clinica San Gaudenzio, Novara, Italy
| | - Yves Horsmans
- Department of Gastroenterology, Louvain Catholic University, Louvain, Belgium
| | | | - P Aiden McCormick
- Liver Unit, St Vincent's University Hospital and University College Dublin, Dublin, Ireland
| | - Bruno Stricker
- Department of Epidemiology, Erasmus University, Rotterdam, Netherlands
| | | | | | - Sophie Micon
- CIC Bordeaux CIC1401 Pharmaco-épidémiologie, Université de Bordeaux, F-33076, Bordeaux, France
| | - Fatima Hamoud
- CIC Bordeaux CIC1401 Pharmaco-épidémiologie, Université de Bordeaux, F-33076, Bordeaux, France
| | - Régis Lassalle
- CIC Bordeaux CIC1401 Pharmaco-épidémiologie, Université de Bordeaux, F-33076, Bordeaux, France
| | - Jérémy Jové
- CIC Bordeaux CIC1401 Pharmaco-épidémiologie, Université de Bordeaux, F-33076, Bordeaux, France
| | - Patrick Blin
- CIC Bordeaux CIC1401 Pharmaco-épidémiologie, Université de Bordeaux, F-33076, Bordeaux, France
| | - Nicholas Moore
- CIC Bordeaux CIC1401 Pharmaco-épidémiologie, Université de Bordeaux, F-33076, Bordeaux, France
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Kraja B, Muka T, Ruiter R, Hofman A, Stricker B, Franco O, Kiefte-de Jong J. Dietary Fatty Acids Intake and Colorectal Cancer Risk: The Rotterdam Study. Ann Oncol 2014. [DOI: 10.1093/annonc/mdu193.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Chowdhury R, Khan H, Heydon E, Shroufi A, Fahimi S, Moore C, Stricker B, Mendis S, Hofman A, Mant J, Franco OH. Adherence to cardiovascular therapy: a meta-analysis of prevalence and clinical consequences. Eur Heart J 2013; 34:2940-8. [DOI: 10.1093/eurheartj/eht295] [Citation(s) in RCA: 555] [Impact Index Per Article: 50.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Gulmez SE, Larrey D, Pageaux GP, Lignot-Maleyran S, de Vries C, Sturkenboom M, Perez-Gutthann S, Bénichou J, Bissoli F, Horsmans Y, Bernuau J, Stricker B, Thorburn D, Blin P, Moore N. Methodology for a multinational case-population study on liver toxicity risks with NSAIDs: the Study of Acute Liver Transplant (SALT). Eur J Clin Pharmacol 2012; 69:605-16. [PMID: 22878690 DOI: 10.1007/s00228-012-1357-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2012] [Accepted: 07/11/2012] [Indexed: 11/28/2022]
Abstract
PURPOSE The European Committee for Human Medicinal Products (CHMP) requested a multinational study with the aim to investigate the risk of acute liver failure (ALF) leading to registration for transplantation in patients exposed to non-steroidal anti-inflammatory drugs (NSAIDs). The method of this multinational, multicentre, retrospective case-population study, named SALT (Study of Acute Liver Transplant), is documented here. METHODS This was a multicentre, multinational retrospective case-population study performed in France, Italy, Portugal, Greece, Ireland, the Netherlands and the UK. The study period was 3 years (1 January 2005-31 December 2007). Cases were patients ≥ 18 years of age with ALF at the time of registration on the transplant list for liver transplantation who had been exposed to an NSAID within 30 days preceding the initial symptoms of liver disease (index date). Exposure was defined as exposure to any NSAID. Per country rates of NSAID-exposed transplantation-registered ALF were computed as the ratio of the number of cases identified in the country to total population exposure. Overall and per-drug sales for NSAIDs and for paracetamol were obtained from Intercontinental Marketing Services (IMS) Health for all participating countries. Population exposure was measured as the defined daily dose and as estimated annual number of patients exposed (primary endpoint) with 95 % confidence intervals. RESULTS The study protocol was approved by the CHMP. Of the 57 eligible liver transplant centres, 54 agreed to participate in the study. All national authorizations were received with relevant administrative burden, mainly due to bureaucracy. CONCLUSION The present study created a multinational research network to estimate population-based absolute rates of drug-exposed ALF leading to registration on the transplantation list. This study design was chosen to obtain a fast response to a public health issue, namely, that of an increased risk of a rare, very serious adverse reaction. This model could be used to study other drug-related issues in ALF.
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Affiliation(s)
- Sinem Ezgi Gulmez
- Service de Pharmacologie, Université Bordeaux, 33000 Bordeaux, France.
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Ray K, Wainwright NWJ, Visser L, Witteman J, Breteler M, Ambegaonkar B, Hofman A, Stricker B, Wareham N, Khaw KT, Sandhu M. Changes in HDL cholesterol and cardiovascular outcomes after lipid modification therapy. Heart 2012; 98:780-5. [PMID: 22447463 DOI: 10.1136/heartjnl-2011-301405] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Lipid modification therapy (LMT) produces cardiovascular benefits principally through reductions in low density lipoprotein cholesterol. While recent evidence, using data from 454 participants in the Framingham Offspring Study, has suggested that increases in high density lipoprotein cholesterol (HDL-C) are also associated with a reduction in cardiovascular outcomes, independently of changes in low density lipoprotein cholesterol, replication of this finding is important. The authors therefore present further results using data from the EPIC-Norfolk (UK) and Rotterdam (The Netherlands) prospective cohort studies. METHODS A total of 1148 participants, 446 from the EPIC-Norfolk and 702 from the Rotterdam study, were assessed for lipids before and after starting LMT. Subsequent risk of cardiovascular events, ascertained through linkage with mortality records and hospital databases, was investigated using Cox proportional hazards regression. Random effects meta-analysis was used to combine results across studies. RESULTS Based on combined data from the EPIC-Norfolk and Rotterdam studies there was some evidence that change in HDL-C resulting from LMT was associated with reduced cardiovascular risk (HR per pooled SD (=0.34 mmol/l) increase=0.74, 95% CI 0.56 to 0.99, adjusted for age, sex and baseline HDL-C). However, this association was attenuated and was not (statistically) significant with further adjustments for non-HDL-C and for cigarette smoking history, prevalent diabetes, systolic blood pressure, body mass index, use of antihypertensive medication, previous myocardial infarction, prevalent angina and previous stroke (0.92, 0.701.20). CONCLUSIONS Following adjustment for conventional non-lipid risk factors of cardiovascular disease, this study provides no evidence to support a significant benefit from increasing HDL-C independent of the effect of lowering non-HDL-C.
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Affiliation(s)
- Kausik Ray
- Division of Clinical Sciences, St George's University of London, Cranmer Terrace, London, UK.
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Ezgi Gulmez S, Lignot-Maleyran S, deVries C, Sturkenboom M, Perez-Gutthann S, Bénichou J, Bissoli F, Larrey D, Pageaux GP, Horsmans Y, Bernuau J, Stricker B, Thorburn D, Blin P, Moore N. SALT-I (Study of Acute Liver Transplant) : étude de l’insuffisance hépatique aiguë liée aux AINS dans des centres de transplantation hépatique européens. Rev Epidemiol Sante Publique 2011. [DOI: 10.1016/j.respe.2011.08.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Marcus M, Muskens R, Wolfs R, Ramdas W, de Jong P, Vingerling J, Hofman A, Stricker B, Jansonius N. O4-4.2 Cholesterol-lowering drugs and incident open-angle glaucoma. Br J Soc Med 2011. [DOI: 10.1136/jech.2011.142976b.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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He C, Chasman D, Ruiter R, Dreyfus J, Porcu E, Hwang SJ, Hankinson S, Buring J, Stolk L, Franceschini N, Sannna S, Lunetta K, Ridker P, Stricker B, Demerath E, Crisponi L, Murabito J, Hunter D. Abstract 5600: Genetic variants associated with reproductive aging and the risk of breast cancer. Cancer Res 2011. [DOI: 10.1158/1538-7445.am2011-5600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Early menarche and later menopause are well-established risk factors for breast cancer. Recent genome-wide association studies have identified several novel loci for these two traits. However, the association between these loci and breast cancer risk remains unknown. In this study, we investigated 19 and 17 newly identified SNPs from ReproGen Consortium that were associated with age at menarche and age at natural menopause, respectively, and assessed their association with breast cancer in 6 population-based studies. We further used these SNPs to calculate genetic risk scores (GRSs) based on their association with each trait. After adjustment for age and potential population stratification, two age-at -menarche associated SNPs (rs1079866 and rs7821178) and one age-at-natural-menopause associated SNP (rs2517388) were associated with an increased risk of breast cancer (p values, 0.003, 0.009 and 0.023, respectively); although overall we did not observe significant association between the GRSs and breast cancer risk, the 4th and 5th highest quintile of the menarche GRS had relative ratios of 1.14 (CI, 1.01 to 1.28) and 1.13 (CI, 1.00 to 1.27), respectively, compared to the lowest quintile; and these associations did not appear to be attenuated by controlling for age at menarche, age at natural menopause, or other conventional risk factors. Our study suggested that three genetic variants, independent of their association with onset of menarche or natural menopause, were associated with breast cancer risk, and a GRS that combines multiple menarche-associated SNPs might be useful for identifying a high risk subgroup for breast cancer.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 5600. doi:10.1158/1538-7445.AM2011-5600
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Affiliation(s)
| | | | | | - Jill Dreyfus
- 4University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - Shih-Jen Hwang
- 6The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA
| | | | | | | | | | - Serena Sannna
- 5Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | - Kathryn Lunetta
- 6The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA
| | | | | | | | | | - Joanne Murabito
- 6The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA
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Yang Q, Köttgen A, Dehghan A, Smith AV, Glazer NL, Chen MH, Chasman DI, Aspelund T, Eiriksdottir G, Harris TB, Launer L, Nalls M, Hernandez D, Arking DE, Boerwinkle E, Grove ML, Li M, Linda Kao WH, Chonchol M, Haritunians T, Li G, Lumley T, Psaty BM, Shlipak M, Hwang SJ, Larson MG, O'Donnell CJ, Upadhyay A, van Duijn CM, Hofman A, Rivadeneira F, Stricker B, Uitterlinden AG, Paré G, Parker AN, Ridker PM, Siscovick DS, Gudnason V, Witteman JC, Fox CS, Coresh J. Multiple genetic loci influence serum urate levels and their relationship with gout and cardiovascular disease risk factors. ACTA ACUST UNITED AC 2010; 3:523-30. [PMID: 20884846 DOI: 10.1161/circgenetics.109.934455] [Citation(s) in RCA: 263] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Elevated serum urate levels can lead to gout and are associated with cardiovascular risk factors. We performed a genome-wide association study to search for genetic susceptibility loci for serum urate and gout and investigated the causal nature of the associations of serum urate with gout and selected cardiovascular risk factors and coronary heart disease (CHD). METHODS AND RESULTS Meta-analyses of genome-wide association studies (GWAS) were performed in 5 population-based cohorts of the Cohorts for Heart and Aging Research in Genome Epidemiology consortium for serum urate and gout in 28 283 white participants. The effect of the most significant single-nucleotide polymorphism at all genome-wide significant loci on serum urate was added to create a genetic urate score. Findings were replicated in the Women's Genome Health Study (n=22 054). Single-nucleotide polymorphisms at 8 genetic loci achieved genome-wide significance with serum urate levels (P=4×10(-8) to 2×10(-242) in SLC22A11, GCKR, R3HDM2-INHBC region, RREB1, PDZK1, SLC2A9, ABCG2, and SLC17A1). Only 2 loci (SLC2A9, ABCG2) showed genome-wide significant association with gout. The genetic urate score was strongly associated with serum urate and gout (odds ratio, 12.4 per 100 μmol/L; P=3×10(-39)) but not with blood pressure, glucose, estimated glomerular filtration rate, chronic kidney disease, or CHD. The lack of association between the genetic score and the latter phenotypes also was observed in the Women's Genome Health Study. CONCLUSIONS The genetic urate score analysis suggested a causal relationship between serum urate and gout but did not provide evidence for one between serum urate and cardiovascular risk factors and CHD.
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Affiliation(s)
- Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
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Johnson AD, Kavousi M, Smith AV, Chen MH, Dehghan A, Aspelund T, Lin JP, van Duijn CM, Harris TB, Cupples LA, Uitterlinden AG, Launer L, Hofman A, Rivadeneira F, Stricker B, Yang Q, O'Donnell CJ, Gudnason V, Witteman JC. Genome-wide association meta-analysis for total serum bilirubin levels. Hum Mol Genet 2009; 18:2700-10. [PMID: 19414484 DOI: 10.1093/hmg/ddp202] [Citation(s) in RCA: 171] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Variation in serum bilirubin is associated with altered cardiovascular disease risk and drug metabolism. We aimed to identify genetic contributors to variability in serum bilirubin levels by combining results from three genome-wide association studies (Framingham heart study, n = 3424; Rotterdam study, n = 3847; Age, Gene, Environment and Susceptibility-Reykjavik, n = 2193). Meta-analysis showed strong replication for a genetic influence on serum bilirubin levels of the UGT1A1 locus (P < 5 x 10(-324)) and a 12p12.2 locus. The peak signal in the 12p12.2 region was a non-synonymous SNP in SLCO1B1 (rs4149056, P = 6.7 x 10(-13)), which gives rise to a valine to alanine amino acid change leading to reduced activity for a hepatic transporter with known affinity for bilirubin. There were also suggestive associations with several other loci. The top variants in UGT1A1 and SLCO1B1 explain approximately 18.0 and approximately 1.0% of the variation in total serum bilirubin levels, respectively. In a conditional analysis adjusted for individual genotypes for the top UGT1A1 variant, the top SLCO1B1 variant remained highly significant (P = 7.3 x 10(-13)), but no other variants achieved genome-wide significance. In one of the largest genetic studies of bilirubin to date (n = 9464), we confirm the substantial genetic influence of UGT1A1 variants, consistent with past linkage and association studies, and additionally provide strong evidence of a role for allelic variation in SLCO1B1. Given the involvement of bilirubin in a number of physiological and disease processes, and the roles for UGT1A1 and SLCO1B1 in drug metabolism, these genetic findings have potential clinical importance. In analyses for association with gallbladder disease or gallstones, top bilirubin SNPs in UGT1A1 and SLCO1B1 were not associated.
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Affiliation(s)
- Andrew D Johnson
- National Heart Lung and Blood Institute's The Framingham Heart Study, 73 Mt. Wayte Avenue, Suite #2, Framingham, MA 01702, USA
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