101 results on '"Meijs, Matthijs F L"'
Search Results
2. The effectiveness of coronary computed tomography angiography and functional testing for the diagnosis of obstructive coronary artery disease: results from the individual patient data Collaborative Meta-Analysis of Cardiac CT (COME-CCT)
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Schlattmann, Peter, Wieske, Viktoria, Bressem, Keno K., Götz, Theresa, Schuetz, Georg M., Andreini, Daniele, Pontone, Gianluca, Alkadhi, Hatem, Hausleiter, Jörg, Zimmermann, Elke, Gerber, Bernhard, Shabestari, Abbas A., Meijs, Matthijs F. L., Sato, Akira, Øvrehus, Kristian A., Jenkins, Shona M. M., Knuuti, Juhani, Hamdan, Ashraf, Halvorsen, Bjørn A., Mendoza-Rodriguez, Vladimir, Rixe, Johannes, Wan, Yung-Liang, Langer, Christoph, Leschka, Sebastian, Martuscelli, Eugenio, Ghostine, Said, Tardif, Jean-Claude, Sánchez, Alejandra Rodríguez, Haase, Robert, and Dewey, Marc
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- 2024
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3. Routine transthoracic echocardiography in ischaemic stroke or transient ischaemic attack of undetermined cause: a prospective multicentre study
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van der Maten, Gerlinde, Meijs, Matthijs F. L., Timmer, Jorik R., Brouwers, Paul J. A. M., von Birgelen, Clemens, Coutinho, Jonathan M., Bouma, Berto J., Kerkhoff, Henk, Helming, Anne Mijn, van Tuijl, Julia H., van der Meer, Nicolet A., Saxena, Ritu, Ebink, Corné, van der Palen, Job, and den Hertog, Heleen M.
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- 2024
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4. Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium
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Wieske, Viktoria, Walther, Mario, Dubourg, Benjamin, Alkadhi, Hatem, Nørgaard, Bjarne L., Meijs, Matthijs F. L., Diederichsen, Axel C. P., Wan, Yung-Liang, Mickley, Hans, Nikolaou, Konstantin, Shabestari, Abbas A., Halvorsen, Bjørn A., Martuscelli, Eugenio, Sun, Kai, Herzog, Bernhard A., Marcus, Roy P., Leschka, Sebastian, Garcia, Mario J., Ovrehus, Kristian A., Knuuti, Juhani, Mendoza-Rodriguez, Vladymir, Bettencourt, Nuno, Muraglia, Simone, Buechel, Ronny R., Kaufmann, Philipp A., Zimmermann, Elke, Tardif, Jean-Claude, Budoff, Matthew J., Schlattmann, Peter, and Dewey, Marc
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- 2022
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5. Correction to: Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium
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Wieske, Viktoria, Walther, Mario, Dubourg, Benjamin, Alkadhi, Hatem, Nørgaard, Bjarne L., Meijs, Matthijs F. L., Diederichsen, Axel C. P., Wan, Yung-Liang, Mickley, Hans, Nikolaou, Konstantin, Shabestari, Abbas A., Halvorsen, Bjørn A., Martuscelli, Eugenio, Sun, Kai, Herzog, Bernhard A., Marcus, Roy P., Leschka, Sebastian, Garcia, Mario J., Ovrehus, Kristian A., Knuuti, Juhani, Mendoza-Rodriguez, Vladymir, Bettencourt, Nuno, Muraglia, Simone, Buechel, Ronny R., Kaufmann, Philipp A., Zimmermann, Elke, Tardif, Jean-Claude, Budoff, Matthew J., Schlattmann, Peter, and Dewey, Marc
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- 2022
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6. Routine transthoracic echocardiography in ischaemic stroke or transient ischaemic attack of undetermined cause: a prospective multicentre study
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van der Maten, Gerlinde, primary, Meijs, Matthijs F. L., additional, Timmer, Jorik R., additional, Brouwers, Paul J. A. M., additional, von Birgelen, Clemens, additional, Coutinho, Jonathan M., additional, Bouma, Berto J., additional, Kerkhoff, Henk, additional, Helming, Anne Mijn, additional, van Tuijl, Julia H., additional, van der Meer, Nicolet A., additional, Saxena, Ritu, additional, Ebink, Corné, additional, van der Palen, Job, additional, and den Hertog, Heleen M., additional
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- 2023
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7. Correction to: Applicability and accuracy of pretest probability calculations implemented in the NICE clinical guideline for decision making about imaging in patients with chest pain of recent onset
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Roehle, Robert, Wieske, Viktoria, Schuetz, Georg M., Gueret, Pascal, Andreini, Daniele, Meijboom, Willem Bob, Pontone, Gianluca, Garcia, Mario, Alkadhi, Hatem, Honoris, Lily, Hausleiter, Jörg, Bettencourt, Nuno, Zimmermann, Elke, Leschka, Sebastian, Gerber, Bernhard, Rochitte, Carlos, Schoepf, U. Joseph, Shabestari, Abbas Arjmand, Nørgaard, Bjarne, Sato, Akira, Knuuti, Juhani, Meijs, Matthijs F. L., Brodoefel, Harald, Jenkins, Shona M. M., Øvrehus, Kristian Altern, Diederichsen, Axel Cosmus Pyndt, Hamdan, Ashraf, Halvorsen, Bjørn Arild, Rodriguez, Vladimir Mendoza, Wan, Yung Liang, Rixe, Johannes, Sheikh, Mehraj, Langer, Christoph, Ghostine, Said, Martuscelli, Eugenio, Niinuma, Hiroyuki, Scholte, Arthur, Nikolaou, Konstantin, Ulimoen, Geir, Zhang, Zhaoqi, Mickley, Hans, Nieman, Koen, Kaufmann, Philipp A., Buechel, Ronny Ralf, Herzog, Bernhard A., Clouse, Melvin, Halon, David A., Leipsic, Jonathan, Bush, David, Jakamy, Reda, Sun, Kai, Yang, Lin, Johnson, Thorsten, Laissy, Jean-Pierre, Marcus, Roy, Muraglia, Simone, Tardif, Jean-Claude, Chow, Benjamin, Paul, Narinder, Maintz, David, Hoe, John, de Roos, Albert, Haase, Robert, Laule, Michael, Schlattmann, Peter, and Dewey, Marc
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- 2018
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8. Applicability and accuracy of pretest probability calculations implemented in the NICE clinical guideline for decision making about imaging in patients with chest pain of recent onset
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Roehle, Robert, Wieske, Viktoria, Schuetz, Georg M., Gueret, Pascal, Andreini, Daniele, Meijboom, Willem Bob, Pontone, Gianluca, Garcia, Mario, Alkadhi, Hatem, Honoris, Lily, Hausleiter, Jörg, Bettencourt, Nuno, Zimmermann, Elke, Leschka, Sebastian, Gerber, Bernhard, Rochitte, Carlos, Schoepf, U. Joseph, Shabestari, Abbas Arjmand, Nørgaard, Bjarne, Sato, Akira, Knuuti, Juhani, Meijs, Matthijs F. L., Brodoefel, Harald, Jenkins, Shona M. M., Øvrehus, Kristian Altern, Diederichsen, Axel Cosmus Pyndt, Hamdan, Ashraf, Halvorsen, Bjørn Arild, Mendoza Rodriguez, Vladimir, Wan, Yung Liang, Rixe, Johannes, Sheikh, Mehraj, Langer, Christoph, Ghostine, Said, Martuscelli, Eugenio, Niinuma, Hiroyuki, Scholte, Arthur, Nikolaou, Konstantin, Ulimoen, Geir, Zhang, Zhaoqi, Mickley, Hans, Nieman, Koen, Kaufmann, Philipp A., Buechel, Ronny Ralf, Herzog, Bernhard A., Clouse, Melvin, Halon, David A., Leipsic, Jonathan, Bush, David, Jakamy, Reda, Sun, Kai, Yang, Lin, Johnson, Thorsten, Laissy, Jean-Pierre, Marcus, Roy, Muraglia, Simone, Tardif, Jean-Claude, Chow, Benjamin, Paul, Narinder, Maintz, David, Hoe, John, de Roos, Albert, Haase, Robert, Laule, Michael, Schlattmann, Peter, and Dewey, Marc
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- 2018
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9. Correction to:Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium (European Radiology, (2022), 32, 8, (5233-5245), 10.1007/s00330-022-08619-4)
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Wieske, Viktoria, Walther, Mario, Dubourg, Benjamin, Alkadhi, Hatem, Nørgaard, Bjarne L, Meijs, Matthijs F L, Diederichsen, Axel C P, Wan, Yung-Liang, Mickley, Hans, Nikolaou, Konstantin, Shabestari, Abbas A, Halvorsen, Bjørn A, Martuscelli, Eugenio, Sun, Kai, Herzog, Bernhard A, Marcus, Roy P, Leschka, Sebastian, Garcia, Mario J, Ovrehus, Kristian A, Knuuti, Juhani, Mendoza-Rodriguez, Vladymir, Bettencourt, Nuno, Muraglia, Simone, Buechel, Ronny R, Kaufmann, Philipp A, Zimmermann, Elke, Tardif, Jean-Claude, Budoff, Matthew J, Schlattmann, Peter, and Dewey, Marc
- Abstract
The original version of this article, published on 10 March 2022, unfortunately contained a mistake. The author name Bjarne L. Nørgaard was incorrectly given as Bjarne L. Nørgard. The original article has been corrected.
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- 2022
10. Baseline MDCT findings after prosthetic heart valve implantation provide important complementary information to echocardiography for follow-up purposes
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Suchá, Dominika, Chamuleau, Steven A. J., Symersky, Petr, Meijs, Matthijs F. L., van den Brink, Renee B. A., de Mol, Bas A. J. M., Mali, Willem P. Th. M., Habets, Jesse, van Herwerden, Lex A., and Budde, Ricardo P. J.
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- 2016
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11. Biphasic contrast medium injection in cardiac CT: moderate versus high concentration contrast material at identical iodine flux and iodine dose
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Rutten, Annemarieke, Meijs, Matthijs F. L., de Vos, Alexander M., Seidensticker, Peter R., and Prokop, Mathias
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- 2010
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12. Is there a role for CT coronary angiography in patients with symptomatic angina? Effect of coronary calcium score on identification of stenosis
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Meijs, Matthijs F. L., Meijboom, W. Bob, Prokop, Mathias, Mollet, Nico R., van Mieghem, Carlos A. G., Doevendans, Pieter A., de Feyter, Pim J., and Cramer, Maarten J.
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- 2009
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13. Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts
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Genders, Tessa S S, Steyerberg, Ewout W, Hunink, Myriam M G, Nieman, Koen, Galema, Tjebbe W, Mollet, Nico R, de Feyter, Pim J, Krestin, Gabriel P, Alkadhi, Hatem, Leschka, Sebastian, Desbiolles, Lotus, Meijs, Matthijs F L, Cramer, Maarten J, Knuuti, Juhani, Kajander, Sami, Bogaert, Jan, Goetschalckx, Kaatje, Cademartiri, Filippo, Maffei, Erica, Martini, Chiara, Seitun, Sara, Aldrovandi, Annachiara, Wildermuth, Simon, Stinn, Björn, Fornaro, Jürgen, Feuchtner, Gudrun, De Zordo, Tobias, Auer, Thomas, Plank, Fabian, Friedrich, Guy, Pugliese, Francesca, Petersen, Steffen E, Davies, Ceri L, Schoepf, Joseph U, Rowe, Garrett W, van Mieghem, Carlos A G, van Driessche, Luc, Sinitsyn, Valentin, Gopalan, Deepa, Nikolaou, Konstantin, Bamberg, Fabian, Cury, Ricardo C, Battle, Juan, Maurovich-Horvat, Pál, Bartykowszki, Andrea, Merkely, Bela, Becker, Dávid, Hadamitzky, Martin, Hausleiter, Jörg, Dewey, Marc, Zimmermann, Elke, and Laule, Michael
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- 2012
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14. Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data
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Haase, Robert, Schlattmann, Peter, Gueret, Pascal, Andreini, Daniele, Pontone, Gianluca, Alkadhi, Hatem, Hausleiter, Jörg, Garcia, Mario J, Leschka, Sebastian, Meijboom, Willem B, Zimmermann, Elke, Gerber, Bernhard, Schoepf, U Joseph, Shabestari, Abbas A, Nørgaard, Bjarne L, Meijs, Matthijs F L, Sato, Akira, Ovrehus, Kristian A, Diederichsen, Axel C P, Jenkins, Shona M M, Knuuti, Juhani, Hamdan, Ashraf, Halvorsen, Bjørn A, Mendoza-Rodriguez, Vladimir, Rochitte, Carlos E, Rixe, Johannes, Wan, Yung Liang, Langer, Christoph, Bettencourt, Nuno, Martuscelli, Eugenio, Ghostine, Said, Buechel, Ronny R, Nikolaou, Konstantin, Mickley, Hans, Yang, Lin, Zhang, Zhaqoi, Chen, Marcus Y, Halon, David A, Rief, Matthias, Sun, Kai, Hirt-Moch, Beatrice, Niinuma, Hiroyuki, Marcus, Roy P, Muraglia, Simone, Jakamy, Réda, Chow, Benjamin J, Kaufmann, Philipp A, Tardif, Jean-Claude, Nomura, Cesar, Kofoed, Klaus F, Laissy, Jean-Pierre, Arbab-Zadeh, Armin, Kitagawa, Kakuya, Laham, Roger, Jinzaki, Masahiro, Hoe, John, Rybicki, Frank J, Scholte, Arthur, Paul, Narinder, Tan, Swee Y, Yoshioka, Kunihiro, Röhle, Robert, Schuetz, Georg M, Schueler, Sabine, Coenen, Maria H, Wieske, Viktoria, Achenbach, Stephan, Budoff, Matthew J, Laule, Michael, Newby, David E, Dewey, Marc, COME-CCT Consortium, UCL - SSS/IREC/CARD - Pôle de recherche cardiovasculaire, UCL - (SLuc) Service de pathologie cardiovasculaire, University of Zurich, and Cardiology
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Computed Tomography Angiography ,stable chest pain ,ACCURACY ,Coronary Vessels/diagnostic imaging ,Settore MED/11 - Malattie dell'Apparato Cardiovascolare ,Coronary Artery Disease ,2700 General Medicine ,030204 cardiovascular system & hematology ,Chest pain ,BIVARIATE METAANALYSIS ,Coronary artery disease ,Angina ,0302 clinical medicine ,Positive predicative value ,Medicine ,030212 general & internal medicine ,SPECIFICITY ,Computed tomography angiography ,Computed Tomography Angiography/methods ,medicine.diagnostic_test ,10042 Clinic for Diagnostic and Interventional Radiology ,obstructive coronary artery disease ,General Medicine ,Coronary Vessels ,3. Good health ,PREVALENCE ,Pre- and post-test probability ,Predictive value of tests ,Radiology ,medicine.symptom ,SENSITIVITY ,INTERVENTIONS ,Coronary Artery Disease/complications ,medicine.medical_specialty ,OF-CARDIOLOGY FOUNDATION ,610 Medicine & health ,computed tomography angiography (Englisch) ,AMERICAN-COLLEGE ,Angina Pectoris ,03 medical and health sciences ,Predictive Value of Tests ,MANAGEMENT ,Humans ,cardiovascular diseases ,Probability ,CTA ,business.industry ,Research ,Angina Pectoris/diagnostic imaging ,10181 Clinic for Nuclear Medicine ,PERFORMANCE ,medicine.disease ,Confidence interval ,Feasibility Studies ,business - Abstract
Objective To determine whether coronary computed tomography angiography (CTA) should be performed in patients with any clinical probability of coronary artery disease (CAD), and whether the diagnostic performance differs between subgroups of patients. Design Prospectively designed meta-analysis of individual patient data from prospective diagnostic accuracy studies. Data sources Medline, Embase, and Web of Science for published studies. Unpublished studies were identified via direct contact with participating investigators. Eligibility criteria for selecting studies Prospective diagnostic accuracy studies that compared coronary CTA with coronary angiography as the reference standard, using at least a 50% diameter reduction as a cutoff value for obstructive CAD. All patients needed to have a clinical indication for coronary angiography due to suspected CAD, and both tests had to be performed in all patients. Results had to be provided using 2×2 or 3×2 cross tabulations for the comparison of CTA with coronary angiography. Primary outcomes were the positive and negative predictive values of CTA as a function of clinical pretest probability of obstructive CAD, analysed by a generalised linear mixed model; calculations were performed including and excluding non-diagnostic CTA results. The no-treat/treat threshold model was used to determine the range of appropriate pretest probabilities for CTA. The threshold model was based on obtained post-test probabilities of less than 15% in case of negative CTA and above 50% in case of positive CTA. Sex, angina pectoris type, age, and number of computed tomography detector rows were used as clinical variables to analyse the diagnostic performance in relevant subgroups. Results Individual patient data from 5332 patients from 65 prospective diagnostic accuracy studies were retrieved. For a pretest probability range of 7-67%, the treat threshold of more than 50% and the no-treat threshold of less than 15% post-test probability were obtained using CTA. At a pretest probability of 7%, the positive predictive value of CTA was 50.9% (95% confidence interval 43.3% to 57.7%) and the negative predictive value of CTA was 97.8% (96.4% to 98.7%); corresponding values at a pretest probability of 67% were 82.7% (78.3% to 86.2%) and 85.0% (80.2% to 88.9%), respectively. The overall sensitivity of CTA was 95.2% (92.6% to 96.9%) and the specificity was 79.2% (74.9% to 82.9%). CTA using more than 64 detector rows was associated with a higher empirical sensitivity than CTA using up to 64 rows (93.4% v 86.5%, P=0.002) and specificity (84.4% v 72.6%, Pv 0.907 (0.897 to 0.916), Pv all other age groups) and was not significantly influenced by angina pectoris type (typical angina 0.895 (0.873 to 0.917), atypical angina 0.898 (0.884 to 0.913), non-anginal chest pain 0.884 (0.870 to 0.899), other chest discomfort 0.915 (0.897 to 0.934)). Conclusions In a no-treat/treat threshold model, the diagnosis of obstructive CAD using coronary CTA in patients with stable chest pain was most accurate when the clinical pretest probability was between 7% and 67%. Performance of CTA was not influenced by the angina pectoris type and was slightly higher in men and lower in older patients. Systematic review registration PROSPERO CRD42012002780.
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- 2019
15. Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data
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Haase, Robert, primary, Schlattmann, Peter, additional, Gueret, Pascal, additional, Andreini, Daniele, additional, Pontone, Gianluca, additional, Alkadhi, Hatem, additional, Hausleiter, Jörg, additional, Garcia, Mario J, additional, Leschka, Sebastian, additional, Meijboom, Willem B, additional, Zimmermann, Elke, additional, Gerber, Bernhard, additional, Schoepf, U Joseph, additional, Shabestari, Abbas A, additional, Nørgaard, Bjarne L, additional, Meijs, Matthijs F L, additional, Sato, Akira, additional, Ovrehus, Kristian A, additional, Diederichsen, Axel C P, additional, Jenkins, Shona M M, additional, Knuuti, Juhani, additional, Hamdan, Ashraf, additional, Halvorsen, Bjørn A, additional, Mendoza-Rodriguez, Vladimir, additional, Rochitte, Carlos E, additional, Rixe, Johannes, additional, Wan, Yung Liang, additional, Langer, Christoph, additional, Bettencourt, Nuno, additional, Martuscelli, Eugenio, additional, Ghostine, Said, additional, Buechel, Ronny R, additional, Nikolaou, Konstantin, additional, Mickley, Hans, additional, Yang, Lin, additional, Zhang, Zhaqoi, additional, Chen, Marcus Y, additional, Halon, David A, additional, Rief, Matthias, additional, Sun, Kai, additional, Hirt-Moch, Beatrice, additional, Niinuma, Hiroyuki, additional, Marcus, Roy P, additional, Muraglia, Simone, additional, Jakamy, Réda, additional, Chow, Benjamin J, additional, Kaufmann, Philipp A, additional, Tardif, Jean-Claude, additional, Nomura, Cesar, additional, Kofoed, Klaus F, additional, Laissy, Jean-Pierre, additional, Arbab-Zadeh, Armin, additional, Kitagawa, Kakuya, additional, Laham, Roger, additional, Jinzaki, Masahiro, additional, Hoe, John, additional, Rybicki, Frank J, additional, Scholte, Arthur, additional, Paul, Narinder, additional, Tan, Swee Y, additional, Yoshioka, Kunihiro, additional, Röhle, Robert, additional, Schuetz, Georg M, additional, Schueler, Sabine, additional, Coenen, Maria H, additional, Wieske, Viktoria, additional, Achenbach, Stephan, additional, Budoff, Matthew J, additional, Laule, Michael, additional, Newby, David E, additional, and Dewey, Marc, additional
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- 2019
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16. Baseline MDCT findings after prosthetic heart valve implantation provide important complementary information to echocardiography for follow-up purposes
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Suchá, Dominika, primary, Chamuleau, Steven A. J., additional, Symersky, Petr, additional, Meijs, Matthijs F. L., additional, van den Brink, Renee B. A., additional, de Mol, Bas A. J. M., additional, Mali, Willem P. Th. M., additional, Habets, Jesse, additional, van Herwerden, Lex A., additional, and Budde, Ricardo P. J., additional
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- 2015
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17. Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci
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Asselbergs, Folkert W., Guo, Yiran, Van Iperen, Erik P. A., Sivapalaratnam, Suthesh, Tragante, Vinicius, Lanktree, Matthew B., Lange, Leslie A., Almoguera, Berta, Appelman, Yolande E., Barnard, John, Baumert, Jens, Beitelshees, Amber L., Bhangale, Tushar R., Chen, Yii-Der Ida, Gaunt, Tom R., Gong, Yan, Hopewell, Jemma C., Johnson, Toby, Kleber, Marcus E., Langaee, Taimour Y., Li, Mingyao, Li, Yun R., Liu, Kiang, McDonough, Caitrin W., Meijs, Matthijs F. L., Middelberg, Rita P. S., Musunuru, Kiran, Nelson, Christopher P., O’Connell, Jeffrey R., Padmanabhan, Sandosh, Pankow, James S., Pankratz, Nathan, Rafelt, Suzanne, Rajagopalan, Ramakrishnan, Romaine, Simon P. R., Schork, Nicholas J., Shaffer, Jonathan, Shen, Haiqing, Smith, Erin N., Tischfield, Sam E., Van Der Most, Peter J., Van Vliet-Ostaptchouk, Jana V., Verweij, Niek, Volcik, Kelly A., Zhang, Li, Bailey, Kent R., Bailey, Kristian M., Bauer, Florianne, Boer, Jolanda M. A., Braund, Peter S., Burt, Amber, Burton, Paul R., Buxbaum, Sarah G., Chen, Wei, Cooper-DeHoff, Rhonda M., Cupples, L. Adrienne, DeJong, Jonas S., Delles, Christian, Duggan, David, Fornage, Myriam, Furlong, Clement E., Glazer, Nicole, Gums, John G., Hastie, Claire, Holmes, Michael V., Illig, Thomas, Kirkland, Susan A., Kivimaki, Mika, Klein, Ronald, Klein, Barbara E., Kooperberg, Charles, Kottke-Marchant, Kandice, Kumari, Meena, LaCroix, Andrea Z., Mallela, Laya, Murugesan, Gurunathan, Ordovas, Jose, Ouwehand, Willem H., Post, Wendy S., Saxena, Richa, Scharnagl, Hubert, Schreiner, Pamela J., Shah, Tina, Shields, Denis C., Shimbo, Daichi, Srinivasan, Sathanur R., Stolk, Ronald P., Swerdlow, Daniel I., Taylor Jr., Herman A., Topol, Eric J., Toskala, Elina, Van Pelt, Joost L., Van Setten, Jessica, Yusuf, Salim, Whittaker, John C., Zwinderman, A. H., Anand, Sonia S., Balmforth, Anthony J., Berenson, Gerald S., Bezzina, Connie R., Boehm, Bernhard O., Boerwinkle, Eric, Casas, Juan P., Caulfield, Mark J., Clarke, Robert, Connell, John M., Cruickshanks, Karen J., Davidson, Karina W., Day, Ian N. M., De Bakker, Paul I. W., Doevendans, Pieter A., Dominiczak, Anna F., Hall, Alistair S., Hartman, Catharina A., Hengstenberg, Christian, Hillege, Hans L., Hofker, Marten H., Humphries, Steve E., Jarvik, Gail P., Johnson, Julie A., Kaess, Bernhard M., Kathiresan, Sekar, Koenig, Wolfgang, Lawlor, Debbie A., Marz, Winfried, Melander, Olle, Mitchell, Braxton D., Montgomery, Grant W., Munroe, Patricia B., Murray, Sarah S., Newhouse, Stephen J., Onland-Moret, N. Charlotte, Poulter, Neil, Psaty, Bruce, Redline, Susan, Rich, Stephen S., Rotter, Jerome I., Schunkert, Heribert, Sever, Peter, Shuldiner, Alan R., Silverstein, Roy L., Stanton, Alice, Thorand, Barbara, Trip, Mieke D., Tsai, Michael Y., Van Der Harst, Pim, Van Der Schoot, Ellen, Van Der Schouw, Yvonne T., Verschuren, W. M. Monique, Watkins, Hugh, Wilde, Arthur A. M., Wolffenbuttel, Bruce H. R., Whitfield, John B., Hovingh, G. Kees, Ballantyne, Christie M., Wijmenga, Cisca, Reilly, Muredach P., Martin, Nicholas G., and LifeLines Cohort Study
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Meta-analysis ,Molecular biology ,FOS: Biological sciences ,Genetics ,nutritional and metabolic diseases ,lipids (amino acids, peptides, and proteins) ,Single nucleotide polymorphisms ,Medical sciences ,Lipids - Abstract
Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids.
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- 2012
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18. CT Coronary Angiography in Patients Suspected of Having Coronary Artery Disease: Decision Making from Various Perspectives in the Face of Uncertainty
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Genders, Tessa S. S., primary, Meijboom, W. Bob, additional, Meijs, Matthijs F. L., additional, Schuijf, Joanne D., additional, Mollet, Nico R., additional, Weustink, Annick C., additional, Pugliese, Francesca, additional, Bax, Jeroen J., additional, Cramer, Maarten J., additional, Krestin, Gabriel P., additional, de Feyter, Pim J., additional, and Hunink, M. G. Myriam, additional
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- 2009
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19. Variability of Coronary Calcium Scores Throughout the Cardiac Cycle
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Rutten, Annemarieke, primary, Krul, Sébastien P. J., additional, Meijs, Matthijs F. L., additional, de Vos, Alexander M., additional, Cramer, Maarten-Jan M., additional, and Prokop, Mathias, additional
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- 2008
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20. Computed tomography of the coronary arteries: An alternative?
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Meijs, Matthijs F. L., primary, Meijboom, Willem B., additional, Cramer, Maarten-Jan M., additional, Pugliese, Francesca, additional, Prokop, Mathias, additional, Doevendans, Pieter A., additional, and De Feyter, Pim J., additional
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- 2007
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21. Presence of albuminuria predicts left ventricular mass in patients with chronic systemic arterial hypertension.
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Beus, Esther, Meijs, Matthijs F. L., Bots, Michiel L., Visseren, Frank L. J., and Blankestijn, Peter J.
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ALBUMINURIA , *CARDIOVASCULAR diseases , *KIDNEY diseases , *LEFT ventricular hypertrophy , *HYPERTENSION , *MAGNETIC resonance imaging - Abstract
Background Increased left ventricular mass ( LVM) is known to predict cardiovascular morbidity and mortality. LVM is high in patients with advanced kidney disease. Our aim was to study the relationship between renal parameters and LVM in hypertensive subjects at high risk of cardiovascular disease. Design Cardiac MRI was performed in 527 patients participating in the single-centre SMART cohort study. Participants free from previous symptomatic coronary heart disease but with a history of hypertension were recruited. Subjects were screened for cardiovascular risk factors in a standardized way. Multivariable linear regression was used to study the relationship of both estimated glomerular filtration rate ( eGFR) and presence of albuminuria with left ventricular mass. Results Mean LVM was 121 g for men ( SD 26) and 87 g for women ( SD 20). Mean eGFR was 82 mL/min/1·73 m² ( SD 19). A total of 73 patients (14%) had albuminuria. After adjusting for known determinants of LVM (height, weight, sex and age) eGFR did not relate to LVM while presence of albuminuria did (mean change in LVM per 10 mL/min/1·73 m2 change in eGFR 0·79 g, 95% CI −0·33 to 1·91, P = 0·17, mean change in LVM in presence vs. absence of albuminuria 9·9 g, 95% CI 4·33 to 15·45, P = 0·001). Additional adjustment for systolic blood pressure did not change results (B for eGFR 0·54, 95% CI −0·58 to 1·66, P = 0·35, B for albuminuria 9·09, 95% CI 3·57 to 14·60, P = 0·001). Conclusions In this study in hypertensive patients with high vascular risk, albuminuria was related to increased LVM and eGFR was not. [ABSTRACT FROM AUTHOR]
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- 2015
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22. Does slice thickness affect diagnostic performance of 64-slice CT coronary angiography in stable and unstable angina patients with a positive calcium score?
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Meijs MF, de Vries JJ, Rutten A, Budde RP, de Vos AM, Meijboom WB, Cramer MJ, de Feyter PJ, Doevendans PA, Prokop M, Meijs, Matthijs F L, de Vries, Jan J J, Rutten, Annemarieke, Budde, Ricardo P J, de Vos, Alexander M, Meijboom, W Bob, Cramer, Maarten J, de Feyter, Pim J, Doevendans, Pieter A, and Prokop, Mathias
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CORONARY artery stenosis ,ANGINA pectoris ,MEDICAL radiography ,HEART blood-vessels ,ANGIOGRAPHY ,PATIENTS - Abstract
Background: Coronary calcification can lead to over-estimation of the degree of coronary stenosis.Purpose: To evaluate whether thinner reconstruction thickness improves the diagnostic performance of 64-slice CT coronary angiography (CTCA) in angina patients with a positive calcium score.Material and Methods: We selected 20 scans from a clinical study comparing CTCA to conventional coronary angiography (CCA) in stable and unstable angina patients based on a low number of motion artifacts and a positive calcium score. All images were acquired at 64 x 0.625 mm and each CTCA scan was reconstructed at slice thickness/increment 0.67 mm/0.33 mm, 0.9 mm/0.45 mm, and 1.4 mm/0.7 mm. Two reviewers blinded for CCA results independently evaluated the scans for the presence of significant coronary artery disease (CAD) in three randomly composed series, with > or =2 weeks in between series. The diagnostic performance of CTCA was compared for the different slice thicknesses using a pooled analysis of both reviewers. Significant CAD was defined as >50% diameter narrowing on quantitative CCA. Image noise (standard deviation of CT numbers) was measured in all scans. Inter-observer variability was assessed with kappa.Results: Significant CAD was present in 8% of 304 available segments. Median total Agatston calcium score was 181.8 (interquartile range 34.9-815.6). Sensitivity at 0.67 mm, 0.9 mm, and 1.4 mm slice thickness was 70% (95% confidence interval 57-83%), 74% (62-86%), and 70% (57-83%), respectively. Specificity was 85% (82-88%), 84% (81-87%), and 84% (81-87%), respectively. The positive predictive value was 30 (21-38%), 29 (21-37%), and 28 (20-36%), respectively. The negative predictive value was 97% (95-98%), 97% (96-99%), and 97% (96-99%), respectively. Kappa for inter-observer agreement was 0.56, 0.58, and 0.59. Noise decreased from 32.9 HU at 0.67 mm, to 23.2 HU at 1.4 mm (P<0.001).Conclusion: Diagnostic performance of CTCA in angina patients with a positive calcium score was not markedly affected by modest variations in reconstruction slice thickness. [ABSTRACT FROM AUTHOR]- Published
- 2010
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23. Targeted Deletion of Nuclear Factor κB p50 Enhances Cardiac Remodeling and Dysfunction Following Myocardial Infarction.
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Timmers, Leo, van Keulen, J. Karlijn, Hoefer, Imo E., Meijs, Matthijs F. L., van Middelaar, Ben, den Ouden, Krista, van Echteld, Cees J. A., Pasterkamp, Gerard, and de Kleijn, Dominique P. V.
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NF-kappa B ,METALLOPROTEINASES ,POLYMERASE chain reaction ,BIOCHEMISTRY ,HEART diseases ,MYOCARDIAL infarction ,CORONARY disease - Abstract
The article focuses on the study which investigates the role of the nuclear factor (NF)-kappa B subunit in left ventricular (LV) remodeling and cardiac dysfunction. Methods performed include matrix metalloproteinase activity assays, polymerase chain reaction, flow cytometric cytokine measurement, and bone marrow transplantation. Results suggest that targeted deletion of NF-kappa B will further enhance cardiac remodeling and functional deterioration following myocardial infarction.
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- 2009
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24. Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data
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Haase, Robert, Schlattmann, Peter, Gueret, Pascal, Andreini, Daniele, Pontone, Gianluca, Alkadhi, Hatem, Hausleiter, Jörg, Garcia, Mario J., Leschka, Sebastian, Meijboom, Willem B., Zimmermann, Elke, Gerber, Bernhard, Schoepf, U. Joseph, Shabestari, Abbas A., Nørgaard, Bjarne L., Meijs, Matthijs F. L., Sato, Akira, Ovrehus, Kristian A., Diederichsen, Axel C. P., Jenkins, Shona M. M., Knuuti, Juhani, Hamdan, Ashraf, Halvorsen, Bjørn A., Mendoza-Rodriguez, Vladimir, Rochitte, Carlos E., Rixe, Johannes, Wan, Yung Liang, Langer, Christoph, Bettencourt, Nuno, Martuscelli, Eugenio, Ghostine, Said, Buechel, Ronny R., Nikolaou, Konstantin, Mickley, Hans, Yang, Lin, Zhang, Zhaqoi, Chen, Marcus Y., Halon, David A., Rief, Matthias, Sun, Kai, Hirt-Moch, Beatrice, Niinuma, Hiroyuki, Marcus, Roy P., Muraglia, Simone, Jakamy, Réda, Chow, Benjamin J., Kaufmann, Philipp A, Tardif, Jean-Claude, Nomura, Cesar, Kofoed, Klaus F., Laissy, Jean-Pierre, Arbab-Zadeh, Armin, Kitagawa, Kakuya, Laham, Roger, Jinzaki, Masahiro, Hoe, John, Rybicki, Frank J., Scholte, Arthur, Paul, Narinder, Tan, Swee Y., Yoshioka, Kunihiro, Röhle, Robert, Schuetz, Georg M., Schueler, Sabine, Coenen, Maria H., Wieske, Viktoria, Achenbach, Stephan, Budoff, Matthew J., Laule, Michael, Newby, David E., and Dewey, Marc
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CTA ,stable chest pain ,obstructive coronary artery disease ,cardiovascular diseases ,computed tomography angiography (Englisch) ,600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit ,3. Good health - Abstract
OBJECTIVE: To determine whether coronary computed tomography angiography (CTA) should be performed in patients with any clinical probability of coronary artery disease (CAD), and whether the diagnostic performance differs between subgroups of patients. DESIGN: Prospectively designed meta-analysis of individual patient data from prospective diagnostic accuracy studies. DATA SOURCES: Medline, Embase, and Web of Science for published studies. Unpublished studies were identified via direct contact with participating investigators. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Prospective diagnostic accuracy studies that compared coronary CTA with coronary angiography as the reference standard, using at least a 50% diameter reduction as a cutoff value for obstructive CAD. All patients needed to have a clinical indication for coronary angiography due to suspected CAD, and both tests had to be performed in all patients. Results had to be provided using 2×2 or 3×2 cross tabulations for the comparison of CTA with coronary angiography. Primary outcomes were the positive and negative predictive values of CTA as a function of clinical pretest probability of obstructive CAD, analysed by a generalised linear mixed model; calculations were performed including and excluding non-diagnostic CTA results. The no-treat/treat threshold model was used to determine the range of appropriate pretest probabilities for CTA. The threshold model was based on obtained post-test probabilities of less than 15% in case of negative CTA and above 50% in case of positive CTA. Sex, angina pectoris type, age, and number of computed tomography detector rows were used as clinical variables to analyse the diagnostic performance in relevant subgroups. RESULTS: Individual patient data from 5332 patients from 65 prospective diagnostic accuracy studies were retrieved. For a pretest probability range of 7-67%, the treat threshold of more than 50% and the no-treat threshold of less than 15% post-test probability were obtained using CTA. At a pretest probability of 7%, the positive predictive value of CTA was 50.9% (95% confidence interval 43.3% to 57.7%) and the negative predictive value of CTA was 97.8% (96.4% to 98.7%); corresponding values at a pretest probability of 67% were 82.7% (78.3% to 86.2%) and 85.0% (80.2% to 88.9%), respectively. The overall sensitivity of CTA was 95.2% (92.6% to 96.9%) and the specificity was 79.2% (74.9% to 82.9%). CTA using more than 64 detector rows was associated with a higher empirical sensitivity than CTA using up to 64 rows (93.4% v 86.5%, P=0.002) and specificity (84.4% v 72.6%, P
25. Gene-centric Meta-analysis in 87,736 Individuals of European Ancestry Identifies Multiple Blood-Pressure-Related Loci
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Tragante, Vinicius, Barnes, Michael R., Ganesh, Santhi K., Lanktree, Matthew B., Guo, Wei, Franceschini, Nora, Smith, Erin N., Johnson, Toby, Holmes, Michael V., Padmanabhan, Sandosh, Karczewski, Konrad J., Almoguera, Berta, Barnard, John, Baumert, Jens, Chang, Yen-Pei Christy, Elbers, Clara C., Farrall, Martin, Fischer, Mary E., Gaunt, Tom R., Gho, Johannes M. I. H., Gieger, Christian, Goel, Anuj, Gong, Yan, Isaacs, Aaron, Kleber, Marcus E., Leach, Irene Mateo, McDonough, Caitrin W., Meijs, Matthijs F. L., Melander, Olle, Nelson, Christopher P., Nolte, Ilja M., Pankratz, Nathan, Price, Tom S., Shaffer, Jonathan, Shah, Sonia, Tomaszewski, Maciej, Van Der Most, Peter J., Van Iperen, Erik P. A., Vonk, Judith M., Witkowska, Kate, Wong, Caroline O. L., Zhang, Li, Beitelshees, Amber L., Berenson, Gerald S., Bhatt, Deepak L., Brown, Morris, Burt, Amber, Cooper-DeHoff, Rhonda M., Connell, John M., Cruickshanks, Karen J., Curtis, Sean P., Davey-Smith, George, Delles, Christian, Gansevoort, Ron T., Guo, Xiuqing, Haiqing, Shen, Hastie, Claire E., Hofker, Marten H., Hovingh, G. Kees, Kim, Daniel S., Kirkland, Susan A., Klein, Barbara E., Klein, Ronald, Li, Yun R., Maiwald, Steffi, Newton-Cheh, Christopher, O’Brien, Eoin T., Onland-Moret, N. Charlotte, Palmas, Walter R., Parsa, Afshin, Penninx, Brenda W., Pettinger, Mary, Vasan, Ramachandran S., Ranchalis, Jane E., Ridker, Paul M., Rose, Lynda M., Sever, Peter, Shimbo, Daichi, Steele, Laura, Stolk, Ronald P., Thorand, Barbara, Trip, Mieke D., Van Duijn, Cornelia M., Verschuren, W. Monique, Wijmenga, Cisca, Wyatt, Sharon, Young, J. Hunter, Zwinderman, Aeilko H., Bezzina, Connie R., Boerwinkle, Eric, Casas, Juan P., Caulfield, Mark J., Chakravarti, Aravinda, Chasman, Daniel I., Davidson, Karina W., Doevendans, Pieter A., Dominiczak, Anna F., FitzGerald, Garret A., Gums, John G., Fornage, Myriam, Hakonarson, Hakon, Halder, Indrani, Hillege, Hans L., Illig, Thomas, Jarvik, Gail P., Johnson, Julie A., Kastelein, John J. P., Koenig, Wolfgang, Kumari, Meena, Marz, Winfried, Murray, Sarah S., O’Connell, Jeffrey R., Oldehinkel, Albertine J., Pankow, James S., Rader, Daniel J., Redline, Susan, Reilly, Muredach P., Schadt, Eric E., Kottke-Marchant, Kandice, Snieder, Harold, Snyder, Michael, Stanton, Alice V., Tobin, Martin D., Uitterlinden, Andre G., Van Der Harst, Pim, Van Der Schouw, Yvonne T., Samani, Nilesh J., Watkins, Hugh, Johnson, Andrew D., Reiner, Alex P., Zhu, Xiaofeng, De Bakker, Paul I. W., Levy, Daniel, Asselbergs, Folkert W., Munroe, Patricia B., and Keating, Brendan J.
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Meta-analysis ,Epidemiology ,Molecular biology ,FOS: Biological sciences ,Blood pressure ,Genetics ,Human genetics--Research ,3. Good health - Abstract
Blood pressure (BP) is a heritable risk factor for cardiovascular disease. To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP), we genotyped ∼50,000 SNPs in up to 87,736 individuals of European ancestry and combined these in a meta-analysis. We replicated findings in an independent set of 68,368 individuals of European ancestry. Our analyses identified 11 previously undescribed associations in independent loci containing 31 genes including PDE1A, HLA-DQB1, CDK6, PRKAG2, VCL, H19, NUCB2, RELA, HOXC@ complex, FBN1, and NFAT5 at the Bonferroni-corrected array-wide significance threshold (p < 6 × 10−7) and confirmed 27 previously reported associations. Bioinformatic analysis of the 11 loci provided support for a putative role in hypertension of several genes, such as CDK6 and NUCB2. Analysis of potential pharmacological targets in databases of small molecules showed that ten of the genes are predicted to be a target for small molecules. In summary, we identified previously unknown loci associated with BP. Our findings extend our understanding of genes involved in BP regulation, which may provide new targets for therapeutic intervention or drug response stratification.
26. Loci influencing blood pressure identified using a cardiovascular gene-centric array
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Ganesh, Santhi K., Tragante, Vinicius, Guo, Wei, Guo, Yiran, Lanktree, Matthew B., Smith, Erin N., Johnson, Toby, Almoguera Castillo, Berta, Barnard, John, Baumer, Jens, Chang, Yen-Pei Christy, Elbers, Clara C., Farrall, Martin, Fischer, Mary E., Franceschini, Nora, Gaunt, Tom R., Gho, Johannes M. I. H., Gieger, Christian, Gong, Yan, Isaacs, Aaron, Kleber, Marcus E., Leach, Irene Mateo, McDonough, Caitrin W., Meijs, Matthijs F. L., Mellander, Olle, Molony, Cliona M., Nolte, Ilja M., Padmanabhan, Sandosh, Price, Tom S., Rajagopalan, Ramakrishnan, Shaffer, Jonathan, Shah, Sonia, Shen, Haiqing, Soranzo, Nicole, Van Der Most, Peter J., Van Iperen, Erik P. A., Van Setten, Jessic A., Vonk, Judith M., Zhang, Li, Beitelshees, Amber L., Berenson, Gerald S., Bhatt, Deepak L., Boer, Jolanda M. A., Boerwinkle, Eric, Burkley, Ben, Burt, Amber, Chakravarti, Aravinda, Chen, Wei, Cooper-DeHoff, Rhonda M., Curtis, Sean P., Dreisbach, Albert, Duggan, David, Ehret, Georg B., Fabsitz, Richard R., Fornage, Myriam, Fox, Ervin, Furlong, Clement E., Gansevoort, Ron T., Hofker, Marten H., Hovingh, G. Kees, Kirkland, Susan A., Kutlar, Abdullah, Kottke-Marchant, Kandice, LaCroix, Andrea Z., Langaee, Taimour Y., Li, Yun R., Lin, Honghuang, Liu, Kiang, Maiwald, Steffi, Malik, Rainer, Murugesan, Gurunathan, Newton-Cheh, Christopher, O’Connell, Jeffery R., Onland-Moret, N. Charlotte, Ouwehand, Willem H., Palmas, Walter R., Penninx, Brenda W., Pepine, Carl J., Pettinger, Mary, Polak, Joseph F., Ramachandran, Vasan S., Ranchalis, Jane, Redline, Susan, Ridker, Paul M., Rose, Lynda M., Scharnag, Hubert, Schork, Nicholas J., Shimbo, Daichi, Shuldiner, Alan R., Srinivasan, Sathanur R., Stolk, Ronald P., Taylor, Herman A., Thorand, Barbara, Trip, Mieke D., Van Duijn, Cornelia M., Verschuren, W. Monique, Wijmenga, Cisca, Winkelmann, Bernhard R., Wyatt, Sharon, Young, J. Hunter, Boehm, Bernhard O., Caulfield, Mark J., Chasman, Daniel I., Davidson, Karina W., Doevendans, Pieter A., FitzGerald, Garret A., Gums, John G., Hakonarson, Hakon, Hillege, Hans L., Illig, Thomas, Jarvik, Gail P., Johnson, Julie A., Kastelein, John J. P., Koenig, Wolfgang, Marz, Winfried, Mitchell, Braxton D., Murray, Sarah S., Oldehinkel, Albertine J., Rader, Daniel J., Reilly, Muredach P., Reiner, Alex P., Schadt, Eric E., Silverstein, Roy L., Snieder, Harold, Stanton, Alice V., Uitterlinden, Andre G., Van Der Harst, Pim, Van Der Schouw, Yvonne T., Samani, Nilesh J., Johnson, Andrew D., Munroe, Patricia B., De Bakker, Paul I. W., Zhu, Xiaofeng, Levy, Daniel, Keating, Brendan J., Asselbergs, Folkert W., CARDIOGRAM, METASTROKE, and LifeLines Cohort Study
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Human genetics ,Molecular biology ,Blood pressure ,cardiovascular diseases ,Medical sciences ,3. Good health ,Blood pressure--Regulation - Abstract
Blood pressure (BP) is a heritable determinant of risk for cardiovascular disease (CVD). To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP) and pulse pressure (PP), we genotyped ∼50 000 single-nucleotide polymorphisms (SNPs) that capture variation in ∼2100 candidate genes for cardiovascular phenotypes in 61 619 individuals of European ancestry from cohort studies in the USA and Europe. We identified novel associations between rs347591 and SBP (chromosome 3p25.3, in an intron of HRH1) and between rs2169137 and DBP (chromosome1q32.1 in an intron of MDM4) and between rs2014408 and SBP (chromosome 11p15 in an intron of SOX6), previously reported to be associated with MAP. We also confirmed 10 previously known loci associated with SBP, DBP, MAP or PP (ADRB1, ATP2B1, SH2B3/ATXN2, CSK, CYP17A1, FURIN, HFE, LSP1, MTHFR, SOX6) at array-wide significance (P < 2.4 × 10−6). We then replicated these associations in an independent set of 65 886 individuals of European ancestry. The findings from expression QTL (eQTL) analysis showed associations of SNPs in the MDM4 region with MDM4 expression. We did not find any evidence of association of the two novel SNPs in MDM4 and HRH1 with sequelae of high BP including coronary artery disease (CAD), left ventricular hypertrophy (LVH) or stroke. In summary, we identified two novel loci associated with BP and confirmed multiple previously reported associations. Our findings extend our understanding of genes involved in BP regulation, some of which may eventually provide new targets for therapeutic intervention.
27. Does carbamylated hemoglobin still affect the analysis of HbA1c in uremic and hyperglycemic patients?
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Meijs, Matthijs F. L., Dijkhorst-Oei, Lioe-Ting, Van Loo, Reina, Bosma, Renate J., Weykamp, Cas W., and Wielders, Jos P. M.
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LETTERS to the editor , *GLYCOSYLATED hemoglobin - Abstract
A letter to the editor is presented in response to the article about the effect of carbamylated hemoglobin on the analysis of glycosylated hemoglobin (Hb) in patients with uremia and hyperglycemia.
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- 2008
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28. Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups : meta-analysis of individual patient data
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COME-CCT Consortium, Haase, Robert, Schlattmann, Peter, Gueret, Pascal, Andreini, Daniele, Pontone, Gianluca, Alkadhi, Hatem, Hausleiter, Jörg, Garcia, Mario J, Leschka, Sebastian, Meijboom, Willem B, Zimmermann, Elke, Gerber, Bernhard, Schoepf, U Joseph, Shabestari, Abbas A, Nørgaard, Bjarne L, Meijs, Matthijs F L, Sato, Akira, Ovrehus, Kristian A, Diederichsen, Axel C P, Jenkins, Shona M M, Knuuti, Juhani, Hamdan, Ashraf, Halvorsen, Bjørn A, Mendoza-Rodriguez, Vladimir, Rochitte, Carlos E, Rixe, Johannes, Wan, Yung Liang, Langer, Christoph, Bettencourt, Nuno, Martuscelli, Eugenio, Ghostine, Said, Buechel, Ronny R, Nikolaou, Konstantin, Mickley, Hans, Yang, Lin, Zhang, Zhaqoi, Chen, Marcus Y, Halon, David A, Rief, Matthias, Sun, Kai, Hirt-Moch, Beatrice, Niinuma, Hiroyuki, Marcus, Roy P, Muraglia, Simone, Jakamy, Réda, Chow, Benjamin J, Kaufmann, Philipp A, Tardif, Jean-Claude, Nomura, Cesar, Kofoed, Klaus F, Laissy, Jean-Pierre, Arbab-Zadeh, Armin, Kitagawa, Kakuya, Laham, Roger, Jinzaki, Masahiro, Hoe, John, Rybicki, Frank J, Scholte, Arthur, Paul, Narinder, Tan, Swee Y, Yoshioka, Kunihiro, Röhle, Robert, Schuetz, Georg M, Schueler, Sabine, Coenen, Maria H, Wieske, Viktoria, Achenbach, Stephan, Budoff, Matthew J, Laule, Michael, Newby, David E, and Dewey, Marc
29. Atrial fibrillation detected with outpatient cardiac rhythm monitoring in patients with ischemic stroke or TIA of undetermined cause.
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van der Maten G, Meijs MFL, van der Palen J, Brouwers PJAM, von Birgelen C, van Opstal J, and den Hertog HM
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- Humans, Female, Middle Aged, Aged, Outpatients, Risk Factors, Atrial Fibrillation complications, Atrial Fibrillation diagnosis, Ischemic Attack, Transient complications, Ischemic Attack, Transient diagnosis, Ischemic Stroke complications, Stroke diagnosis, Stroke etiology
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Objectives: Guidelines advise cardiac rhythm monitoring for 3 up to 30 days for detecting atrial fibrillation (AF) in patients with ischemic stroke of undetermined cause. However, the optimal monitoring duration is unknown. We aimed to determine the AF detection rate during 7-day outpatient cardiac rhythm monitoring in this patient group., Methods: Participants from a large tertiary hospital in a prospective observational study (ATTEST) underwent outpatient cardiac rhythm monitoring after a negative standard diagnostic evaluation (i.e., 12-lead electrocardiogram and in-hospital telemetry). Primary outcome was the rate of newly detected AF., Results: We examined 373 patients [age: 67.8±11.6 years; women: 166(44.5%); stroke: 278(74.5%)]. Median monitoring duration was 7 days (Inter Quartile Range (IQR) 7-7), performed after median of 36 days (IQR 27-47). AF was newly detected in 17(4.6%) patients, 5.4% of patients with ischemic stroke and 2.1% of patients with TIA. 53% of AF was detected on day-1, after day-3 73% of new AF was found. First AF episodes were detected up to day-7. Diabetes and increasing age were independent predictors of new AF., Conclusion: After ischemic stroke or TIA of undetermined cause, 7-day outpatient cardiac rhythm monitoring detected new AF in 4.6%. Patients with AF had significantly more cardiovascular risk factors. Although about 50% of first AF episodes occurred during the first day of monitoring, new AF was detected up to day-7, implying that the recommended minimum of 3 days cardiac rhythm monitoring after ischemic stroke of undetermined cause is insufficient. Subsequent long-term rhythm monitoring should be considered in selected patients., Competing Interests: Declaration of Competing Interest C. von Birgelen reports that the research department of Thoraxcentrum Twente has received institutional research grants provided by Abbott Vascular, Biotronik, Boston Scientific, and Medtronic, outside the present research. All other authors declared that they have no conflict of interest., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)
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- 2023
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30. Cardiac imaging in ischemic stroke or transient ischemic attack of undetermined cause: Systematic review & meta-analysis.
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van der Maten G, Dijkstra S, Meijs MFL, von Birgelen C, van der Palen J, and den Hertog HM
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- Adult, Aged, Echocardiography, Transesophageal, Humans, Male, Middle Aged, Prospective Studies, Brain Ischemia diagnostic imaging, Brain Ischemia epidemiology, Ischemic Attack, Transient diagnostic imaging, Ischemic Attack, Transient epidemiology, Ischemic Stroke, Stroke diagnostic imaging, Stroke epidemiology
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Background: Patients with ischemic stroke or transient ischemic attack (TIA) of undetermined cause often undergo cardiac imaging in search of a cardioembolic source. As the choice of the most appropriate imaging approach is controversial and therapeutic implications have changed over time, we aimed to identify in patients with "cryptogenic stroke or TIA" the yield of transthoracic or transesophageal echocardiography (TTE or TEE) and cardiac computed tomography (CT)., Methods and Results: We performed a systematic review and meta-analysis according to the PRISMA guidelines. Included were studies that assessed consecutive patients with ischemic stroke or TIA of undetermined cause to evaluate the yield of TTE, TEE, or cardiac CT for detecting cardioembolic sources. For each type of cardioembolic source the pooled prevalence was calculated. Only six out of 1458 studies fulfilled the inclusion criteria (1022 patients). One study reported the yield of TTE, four of TEE, and one of both TTE and TEE; no study assessed cardiac CT. Mean patient age ranged from 44.3-71.2 years, 49.2-59.7% were male. TTE detected 43 cardioembolic sources in 316 patients (4 (1.3%) major, 39 (12.3%) minor), and TEE 248 in 937 patients (55 (5.9%) major, 193 (20.6%) minor). The most prevalent major cardioembolic source was left atrial appendage thrombus, yet results were heterogeneous among studies., Conclusions: TTE and TEE infrequently detect major cardioembolic sources that require a change of therapy. Findings should be interpreted with caution due to the limited number of studies. A large-sized prospective clinical trial is warranted to support evidence-based decision-making., (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.)
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- 2021
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31. Detection of Major Cardioembolic Sources in Real-World Patients with Ischemic Stroke or Transient Ischemic Attack of Undetermined Cause.
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van der Maten G, Reimer JMB, Meijs MFL, von Birgelen C, Brusse-Keizer MGJ, and den Hertog HM
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- Adult, Aged, Aged, 80 and over, Atrial Fibrillation complications, Female, Heart Diseases complications, Humans, Ischemic Attack, Transient diagnostic imaging, Ischemic Stroke diagnostic imaging, Male, Middle Aged, Predictive Value of Tests, Retrospective Studies, Risk Assessment, Risk Factors, Atrial Fibrillation diagnosis, Echocardiography, Doppler, Electrocardiography, Ambulatory, Heart Diseases diagnostic imaging, Ischemic Attack, Transient etiology, Ischemic Stroke etiology
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Background/aim: Current guidelines recommend transthoracic echocardiography (TTE) and ambulatory rhythm monitoring following ischemic stroke or transient ischemic attack (TIA) of undetermined cause for identifying cardioembolic sources (CES). Due to ongoing controversies about this routine strategy, we evaluated its yield in a real-world setting., Methods: In a tertiary medical center, we retrospectively evaluated consecutive patients with ischemic stroke or TIA of undetermined cause, who (after standard work-up) underwent TTE, ambulatory rhythm monitoring, or both. CES were classified as major if probably related to ischemic events and warranting a change of therapy., Results: Between January 2014 and December 2017, 674 patients had ischemic stroke or TIA of undetermined cause. Of all 484 patients (71.8%) who underwent TTE, 9 (1.9%) had a major CES. However, 7 of them had already been identified for cardiac evaluation due to new major electrocardiographic abnormalities or cardiac symptoms. Thus, only 2 patients (0.4%) truly benefitted from unselected TTE screening. Ambulatory rhythm monitoring was performed in 411 patients (61.0%) and revealed AF in 10 patients (2.4%)., Conclusion: Detecting a major CES is essential because appropriate treatment lowers the risk of recurrent stroke. Nonetheless, in this real-world study that aimed at routine use of TTE and ambulatory rhythm monitoring in patients with ischemic stroke or TIA of undetermined cause, the prevalence of major CES was low. Most patients with major CES on TTE already had an indication for referral to a cardiologist, suggesting that major CES might also have been identified with a much more selective use of TTE., (© 2021 The Author(s) Published by S. Karger AG, Basel.)
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- 2021
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32. The additional value of an algorithm for atrial fibrillation at the stroke unit.
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van der Maten G, Plas GJJ, Meijs MFL, Brouwers PJAM, Brusse-Keizer MGJ, and den Hertog HM
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- Action Potentials, Aged, Aged, 80 and over, Atrial Fibrillation complications, Atrial Fibrillation physiopathology, Female, Heart Rate, Humans, Ischemic Attack, Transient etiology, Ischemic Attack, Transient physiopathology, Male, Middle Aged, Observer Variation, Predictive Value of Tests, Prospective Studies, Reproducibility of Results, Risk Factors, Stroke etiology, Stroke physiopathology, Algorithms, Atrial Fibrillation diagnosis, Electrocardiography, Ischemic Attack, Transient diagnosis, Signal Processing, Computer-Assisted, Stroke diagnosis, Telemetry
- Abstract
Background and Purpose: The rate of newly detected (paroxysmal) atrial fibrillation (AF) during inpatient cardiac telemetry is low. The objective of this study was to evaluate the additional diagnostic yield of an automated detection algorithm for AF on telemetric monitoring compared with routine detection by a stroke unit team in patients with recent ischemic stroke or TIA., Methods: Patients admitted to the stroke unit of Medisch Spectrum Twente with acute ischemic stroke or TIA and no history of AF were prospectively included. All patients had telemetry monitoring, routinely assessed by the stroke unit team. The ST segment and arrhythmia monitoring (ST/AR) algorithm was active, with deactivated AF alarms. After 24 h the detections were analyzed and compared with routine evaluation., Results: Five hundred and seven patients were included (52.5% male, mean age 70.2 ± 12.9 years). Median monitor duration was 24 (interquartile range 22-27) h. In 6 patients (1.2%) routine analysis by the stroke unit team concluded AF. In 24 patients (4.7%), the ST/AR Algorithm suggested AF. Interrater reliability was low (κ, 0.388, p < 0.001). Suggested AF by the algorithm turned out to be false positive in 11 patients. In 13 patients (2.6%) AF was correctly diagnosed by the algorithm. None of the cases detected by routine analysis were missed by the algorithm., Conclusions: Automated AF detection during 24-h telemetry in ischemic stroke patients is of additional value to detect paroxysmal AF compared with routine analysis by the stroke unit team alone. Automated detections need to be carefully evaluated., (Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2020
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33. Diagnostic evaluation and treatment strategy in patients with suspected prosthetic heart valve dysfunction: The incremental value of MDCT.
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Suchá D, Symersky P, van den Brink RB, Tanis W, Laufer EM, Meijs MF, Habets J, de Mol BA, Mali WP, Chamuleau SA, van Herwerden LA, and Budde RP
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- Adult, Aged, Aortic Valve diagnostic imaging, Aortic Valve physiopathology, Cardiac-Gated Imaging Techniques, Cross-Sectional Studies, Echocardiography, Doppler, Color, Electrocardiography, Female, Heart Valve Prosthesis Implantation adverse effects, Hemodynamics, Humans, Male, Middle Aged, Mitral Valve diagnostic imaging, Mitral Valve physiopathology, Netherlands, Predictive Value of Tests, Prospective Studies, Reoperation, Risk Factors, Treatment Outcome, Aortic Valve surgery, Heart Valve Prosthesis, Heart Valve Prosthesis Implantation instrumentation, Mitral Valve surgery, Multidetector Computed Tomography, Prosthesis Failure
- Abstract
Background: In patients with suspected prosthetic heart valve (PHV) dysfunction, routine evaluation echocardiography and fluoroscopy may provide unsatisfactory results for identifying the cause of dysfunction. This study assessed the value of MDCT as a routine, complementary imaging modality in suspected PHV-dysfunction for diagnosing the cause of PHV dysfunction and proposing a treatment strategy., Methods: Patients with suspected PHV dysfunction were prospectively recruited. All patients underwent routine diagnostic work-up (TTE, TEE ± fluoroscopy) and additional MDCT imaging. An expert panel reviewed all cases and assessed the diagnosis and treatment strategy, first based on routine evaluation only, second with additional MDCT information., Results: Forty-two patients were included with suspected PHV obstruction (n = 30) and PHV regurgitation (n = 12). The addition of MDCT showed incremental value to routine evaluation in 26/30 (87%) cases for detecting the specific cause of PHV obstruction and in 7/12 (58%) regurgitation cases for assessment of complications and surgical planning. The addition of MDCT resulted in treatment strategy change in 8/30 (27%) patients with suspected obstruction and 3/12 (25%) patients with regurgitation., Conclusion: In addition to echocardiography and fluoroscopy, MDCT may identify the cause of PHV dysfunction and alter the treatment strategy., (Copyright © 2016 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.)
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- 2016
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34. Presence of albuminuria predicts left ventricular mass in patients with chronic systemic arterial hypertension.
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de Beus E, Meijs MF, Bots ML, Visseren FL, and Blankestijn PJ
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- Adolescent, Adult, Aged, Albuminuria physiopathology, Chronic Disease, Female, Glomerular Filtration Rate physiology, Humans, Hypertension diagnosis, Hypertension physiopathology, Hypertrophy, Left Ventricular diagnosis, Hypertrophy, Left Ventricular physiopathology, Magnetic Resonance Angiography, Male, Middle Aged, Prospective Studies, Regression Analysis, Risk Factors, Young Adult, Albuminuria etiology, Hypertension complications, Hypertrophy, Left Ventricular complications
- Abstract
Background: Increased left ventricular mass (LVM) is known to predict cardiovascular morbidity and mortality. LVM is high in patients with advanced kidney disease. Our aim was to study the relationship between renal parameters and LVM in hypertensive subjects at high risk of cardiovascular disease., Design: Cardiac MRI was performed in 527 patients participating in the single-centre SMART cohort study. Participants free from previous symptomatic coronary heart disease but with a history of hypertension were recruited. Subjects were screened for cardiovascular risk factors in a standardized way. Multivariable linear regression was used to study the relationship of both estimated glomerular filtration rate (eGFR) and presence of albuminuria with left ventricular mass., Results: Mean LVM was 121 g for men (SD 26) and 87 g for women (SD 20). Mean eGFR was 82 mL/min/1.73 m(²) (SD 19). A total of 73 patients (14%) had albuminuria. After adjusting for known determinants of LVM (height, weight, sex and age) eGFR did not relate to LVM while presence of albuminuria did (mean change in LVM per 10 mL/min/1.73 m(2) change in eGFR 0.79 g, 95% CI -0.33 to 1.91, P = 0.17, mean change in LVM in presence vs. absence of albuminuria 9.9 g, 95% CI 4.33 to 15.45, P = 0.001). Additional adjustment for systolic blood pressure did not change results (B for eGFR 0.54, 95% CI -0.58 to 1.66, P = 0.35, B for albuminuria 9.09, 95% CI 3.57 to 14.60, P = 0.001)., Conclusions: In this study in hypertensive patients with high vascular risk, albuminuria was related to increased LVM and eGFR was not., (© 2015 Stichting European Society for Clinical Investigation Journal Foundation.)
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- 2015
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35. Gene-centric meta-analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci.
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Tragante V, Barnes MR, Ganesh SK, Lanktree MB, Guo W, Franceschini N, Smith EN, Johnson T, Holmes MV, Padmanabhan S, Karczewski KJ, Almoguera B, Barnard J, Baumert J, Chang YP, Elbers CC, Farrall M, Fischer ME, Gaunt TR, Gho JM, Gieger C, Goel A, Gong Y, Isaacs A, Kleber ME, Mateo Leach I, McDonough CW, Meijs MF, Melander O, Nelson CP, Nolte IM, Pankratz N, Price TS, Shaffer J, Shah S, Tomaszewski M, van der Most PJ, Van Iperen EP, Vonk JM, Witkowska K, Wong CO, Zhang L, Beitelshees AL, Berenson GS, Bhatt DL, Brown M, Burt A, Cooper-DeHoff RM, Connell JM, Cruickshanks KJ, Curtis SP, Davey-Smith G, Delles C, Gansevoort RT, Guo X, Haiqing S, Hastie CE, Hofker MH, Hovingh GK, Kim DS, Kirkland SA, Klein BE, Klein R, Li YR, Maiwald S, Newton-Cheh C, O'Brien ET, Onland-Moret NC, Palmas W, Parsa A, Penninx BW, Pettinger M, Vasan RS, Ranchalis JE, M Ridker P, Rose LM, Sever P, Shimbo D, Steele L, Stolk RP, Thorand B, Trip MD, van Duijn CM, Verschuren WM, Wijmenga C, Wyatt S, Young JH, Zwinderman AH, Bezzina CR, Boerwinkle E, Casas JP, Caulfield MJ, Chakravarti A, Chasman DI, Davidson KW, Doevendans PA, Dominiczak AF, FitzGerald GA, Gums JG, Fornage M, Hakonarson H, Halder I, Hillege HL, Illig T, Jarvik GP, Johnson JA, Kastelein JJ, Koenig W, Kumari M, März W, Murray SS, O'Connell JR, Oldehinkel AJ, Pankow JS, Rader DJ, Redline S, Reilly MP, Schadt EE, Kottke-Marchant K, Snieder H, Snyder M, Stanton AV, Tobin MD, Uitterlinden AG, van der Harst P, van der Schouw YT, Samani NJ, Watkins H, Johnson AD, Reiner AP, Zhu X, de Bakker PI, Levy D, Asselbergs FW, Munroe PB, and Keating BJ
- Subjects
- Arterial Pressure, Computational Biology methods, Europe, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Phenotype, Polymorphism, Single Nucleotide, Quality Control, Quantitative Trait Loci, Risk Factors, Blood Pressure, Diastole, Genetics, Population, Systole, White People genetics
- Abstract
Blood pressure (BP) is a heritable risk factor for cardiovascular disease. To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP), we genotyped ~50,000 SNPs in up to 87,736 individuals of European ancestry and combined these in a meta-analysis. We replicated findings in an independent set of 68,368 individuals of European ancestry. Our analyses identified 11 previously undescribed associations in independent loci containing 31 genes including PDE1A, HLA-DQB1, CDK6, PRKAG2, VCL, H19, NUCB2, RELA, HOXC@ complex, FBN1, and NFAT5 at the Bonferroni-corrected array-wide significance threshold (p < 6 × 10(-7)) and confirmed 27 previously reported associations. Bioinformatic analysis of the 11 loci provided support for a putative role in hypertension of several genes, such as CDK6 and NUCB2. Analysis of potential pharmacological targets in databases of small molecules showed that ten of the genes are predicted to be a target for small molecules. In summary, we identified previously unknown loci associated with BP. Our findings extend our understanding of genes involved in BP regulation, which may provide new targets for therapeutic intervention or drug response stratification., (Copyright © 2014 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
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- 2014
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36. Coronary artery assessment on electrocardiogram-gated thoracoabdominal multidetector computed tomographic angiography for aortic evaluation.
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Willemink MJ, Meijs MF, Cramer MJ, Thijssen AS, Moll FL, de Jong PA, Leiner T, and Budde RP
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- Aged, Contrast Media, Electrocardiography, Female, Humans, Iohexol analogs & derivatives, Male, Middle Aged, Radiographic Image Interpretation, Computer-Assisted, Retrospective Studies, Aorta, Thoracic diagnostic imaging, Aortic Diseases diagnostic imaging, Cardiac-Gated Imaging Techniques, Coronary Angiography methods, Coronary Stenosis diagnostic imaging, Multidetector Computed Tomography methods
- Abstract
Objective: The objective of this study was to evaluate coronary image quality, stenosis grade, and diagnostic confidence in patients undergoing electrocardiogram-gated thoracoabdominal multidetector computed tomographic angiography (CTA) for aortic evaluation., Methods: Seventy-five consecutive patients underwent retrospectively electrocardiogram-gated thoracoabdominal CTA reconstructed at each 12.5% of the R wave to R wave (R-R) interval. Two observers in consensus scored the coronary arteries per segment (15-segment American Heart Association model) for image quality, stenosis grade, and stenosis-assessment confidence., Results: Nondiagnostic image quality prohibited coronary evaluation in 14 patients. In the remaining patients, 2% of segments was scored absent, 24% was scored nondiagnostic, 12% was scored diagnostically limited, and 61% was scored at least acceptable. Acceptable or higher image quality was seen in 82% of the proximal and middle segments. Significant stenosis (>50%) was seen in 57% of the patients. Stenosis-severity scoring confidence was moderate to high in 79% of 673 assessable segments., Conclusions: Electrocardiogram-gated thoracoabdominal CTA allows concomitant assessment of the proximal and middle coronary arteries and may serve as a combined tool for aortic-disease workup. Aortic CTA showed significant coronary artery stenosis in 57% of the patients evaluated for aortic pathology.
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- 2014
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37. Loci influencing blood pressure identified using a cardiovascular gene-centric array.
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Ganesh SK, Tragante V, Guo W, Guo Y, Lanktree MB, Smith EN, Johnson T, Castillo BA, Barnard J, Baumert J, Chang YP, Elbers CC, Farrall M, Fischer ME, Franceschini N, Gaunt TR, Gho JM, Gieger C, Gong Y, Isaacs A, Kleber ME, Mateo Leach I, McDonough CW, Meijs MF, Mellander O, Molony CM, Nolte IM, Padmanabhan S, Price TS, Rajagopalan R, Shaffer J, Shah S, Shen H, Soranzo N, van der Most PJ, Van Iperen EP, Van Setten J, Vonk JM, Zhang L, Beitelshees AL, Berenson GS, Bhatt DL, Boer JM, Boerwinkle E, Burkley B, Burt A, Chakravarti A, Chen W, Cooper-Dehoff RM, Curtis SP, Dreisbach A, Duggan D, Ehret GB, Fabsitz RR, Fornage M, Fox E, Furlong CE, Gansevoort RT, Hofker MH, Hovingh GK, Kirkland SA, Kottke-Marchant K, Kutlar A, Lacroix AZ, Langaee TY, Li YR, Lin H, Liu K, Maiwald S, Malik R, Murugesan G, Newton-Cheh C, O'Connell JR, Onland-Moret NC, Ouwehand WH, Palmas W, Penninx BW, Pepine CJ, Pettinger M, Polak JF, Ramachandran VS, Ranchalis J, Redline S, Ridker PM, Rose LM, Scharnag H, Schork NJ, Shimbo D, Shuldiner AR, Srinivasan SR, Stolk RP, Taylor HA, Thorand B, Trip MD, van Duijn CM, Verschuren WM, Wijmenga C, Winkelmann BR, Wyatt S, Young JH, Boehm BO, Caulfield MJ, Chasman DI, Davidson KW, Doevendans PA, Fitzgerald GA, Gums JG, Hakonarson H, Hillege HL, Illig T, Jarvik GP, Johnson JA, Kastelein JJ, Koenig W, März W, Mitchell BD, Murray SS, Oldehinkel AJ, Rader DJ, Reilly MP, Reiner AP, Schadt EE, Silverstein RL, Snieder H, Stanton AV, Uitterlinden AG, van der Harst P, van der Schouw YT, Samani NJ, Johnson AD, Munroe PB, de Bakker PI, Zhu X, Levy D, Keating BJ, and Asselbergs FW
- Subjects
- Adult, Aged, Cardiovascular Diseases physiopathology, Cohort Studies, Female, Genetic Predisposition to Disease, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, White People genetics, Blood Pressure genetics, Cardiovascular Diseases genetics, Chromosome Mapping, Genome-Wide Association Study
- Abstract
Blood pressure (BP) is a heritable determinant of risk for cardiovascular disease (CVD). To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP) and pulse pressure (PP), we genotyped ∼50 000 single-nucleotide polymorphisms (SNPs) that capture variation in ∼2100 candidate genes for cardiovascular phenotypes in 61 619 individuals of European ancestry from cohort studies in the USA and Europe. We identified novel associations between rs347591 and SBP (chromosome 3p25.3, in an intron of HRH1) and between rs2169137 and DBP (chromosome1q32.1 in an intron of MDM4) and between rs2014408 and SBP (chromosome 11p15 in an intron of SOX6), previously reported to be associated with MAP. We also confirmed 10 previously known loci associated with SBP, DBP, MAP or PP (ADRB1, ATP2B1, SH2B3/ATXN2, CSK, CYP17A1, FURIN, HFE, LSP1, MTHFR, SOX6) at array-wide significance (P < 2.4 × 10(-6)). We then replicated these associations in an independent set of 65 886 individuals of European ancestry. The findings from expression QTL (eQTL) analysis showed associations of SNPs in the MDM4 region with MDM4 expression. We did not find any evidence of association of the two novel SNPs in MDM4 and HRH1 with sequelae of high BP including coronary artery disease (CAD), left ventricular hypertrophy (LVH) or stroke. In summary, we identified two novel loci associated with BP and confirmed multiple previously reported associations. Our findings extend our understanding of genes involved in BP regulation, some of which may eventually provide new targets for therapeutic intervention.
- Published
- 2013
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38. Large-scale gene-centric meta-analysis across 32 studies identifies multiple lipid loci.
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Asselbergs FW, Guo Y, van Iperen EP, Sivapalaratnam S, Tragante V, Lanktree MB, Lange LA, Almoguera B, Appelman YE, Barnard J, Baumert J, Beitelshees AL, Bhangale TR, Chen YD, Gaunt TR, Gong Y, Hopewell JC, Johnson T, Kleber ME, Langaee TY, Li M, Li YR, Liu K, McDonough CW, Meijs MF, Middelberg RP, Musunuru K, Nelson CP, O'Connell JR, Padmanabhan S, Pankow JS, Pankratz N, Rafelt S, Rajagopalan R, Romaine SP, Schork NJ, Shaffer J, Shen H, Smith EN, Tischfield SE, van der Most PJ, van Vliet-Ostaptchouk JV, Verweij N, Volcik KA, Zhang L, Bailey KR, Bailey KM, Bauer F, Boer JM, Braund PS, Burt A, Burton PR, Buxbaum SG, Chen W, Cooper-Dehoff RM, Cupples LA, deJong JS, Delles C, Duggan D, Fornage M, Furlong CE, Glazer N, Gums JG, Hastie C, Holmes MV, Illig T, Kirkland SA, Kivimaki M, Klein R, Klein BE, Kooperberg C, Kottke-Marchant K, Kumari M, LaCroix AZ, Mallela L, Murugesan G, Ordovas J, Ouwehand WH, Post WS, Saxena R, Scharnagl H, Schreiner PJ, Shah T, Shields DC, Shimbo D, Srinivasan SR, Stolk RP, Swerdlow DI, Taylor HA Jr, Topol EJ, Toskala E, van Pelt JL, van Setten J, Yusuf S, Whittaker JC, Zwinderman AH, Anand SS, Balmforth AJ, Berenson GS, Bezzina CR, Boehm BO, Boerwinkle E, Casas JP, Caulfield MJ, Clarke R, Connell JM, Cruickshanks KJ, Davidson KW, Day IN, de Bakker PI, Doevendans PA, Dominiczak AF, Hall AS, Hartman CA, Hengstenberg C, Hillege HL, Hofker MH, Humphries SE, Jarvik GP, Johnson JA, Kaess BM, Kathiresan S, Koenig W, Lawlor DA, März W, Melander O, Mitchell BD, Montgomery GW, Munroe PB, Murray SS, Newhouse SJ, Onland-Moret NC, Poulter N, Psaty B, Redline S, Rich SS, Rotter JI, Schunkert H, Sever P, Shuldiner AR, Silverstein RL, Stanton A, Thorand B, Trip MD, Tsai MY, van der Harst P, van der Schoot E, van der Schouw YT, Verschuren WM, Watkins H, Wilde AA, Wolffenbuttel BH, Whitfield JB, Hovingh GK, Ballantyne CM, Wijmenga C, Reilly MP, Martin NG, Wilson JG, Rader DJ, Samani NJ, Reiner AP, Hegele RA, Kastelein JJ, Hingorani AD, Talmud PJ, Hakonarson H, Elbers CC, Keating BJ, and Drenos F
- Subjects
- Cholesterol, HDL blood, Cholesterol, HDL genetics, Cholesterol, LDL blood, Cholesterol, LDL genetics, Female, Genotype, Humans, Lipids blood, Male, Phenotype, Polymorphism, Single Nucleotide, Sex Factors, Triglycerides blood, Triglycerides genetics, White People, Genome-Wide Association Study, Lipids genetics, Quantitative Trait Loci
- Abstract
Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids., (Copyright © 2012 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
- Published
- 2012
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39. Relation between abdominal obesity, insulin resistance and left ventricular hypertrophy diagnosed by electrocardiogram and magnetic resonance imaging in hypertensive patients.
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Vernooij JW, Cramer MJ, Visseren FL, Korndewal MJ, Bots ML, Meijs MF, Doevendans PA, and Spiering W
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- Cohort Studies, Female, Humans, Hypertrophy, Left Ventricular epidemiology, Linear Models, Male, Middle Aged, Waist Circumference, Electrocardiography, Hypertension epidemiology, Hypertrophy, Left Ventricular diagnosis, Insulin Resistance, Magnetic Resonance Imaging, Cine, Obesity, Abdominal epidemiology
- Abstract
Obesity is related to left ventricular hypertrophy (LVH). Whether LVH on electrocardiography (ECG-LVH) is a result of increased cardiac electrical activity or due to increased left ventricular mass (LVM) remains to be determined. The aims of the present study were to investigate the relation between obesity and ECG-LVH and LVM by magnetic resonance imaging (MRI-LVM) in patients with hypertension and to investigate the relation of insulin resistance (IR) and LVH. Patients with hypertension (n = 421) were evaluated using Sokolow-Lyon voltage, Cornell voltage, and cardiac magnetic resonance imaging. Waist circumference was used as a measure of abdominal obesity. Linear regression analysis revealed an inverse relation (adjusted β = -0.02, 95% confidence interval -0.02 to -0.01) between waist circumference and Sokolow-Lyon voltage, indicating a decrease of 0.02 mV per 1-cm increase in waist circumference. There was a positive relation between waist circumference and MRI-LVM (β = 0.49, 95% confidence interval 0.32 to 0.67). Patients in the highest quartile of LVM had a worse metabolic profile than patients with the Sokolow-Lyon voltage criterion. The relations of IR with ECG-LVH and MRI-LVM were similar to those of waist circumference in relation to ECG-LVH and MRI-LVM. In conclusion, there is an inverse relation between waist circumference and ECG-LVH and a positive relation between waist circumference and MRI-LVM. This study indicates that obesity has a different relation to voltage criteria for LVH compared to anatomic criteria for LVH, supporting the hypothesis that IR decreases electrocardiographic voltages, despite an increase in MRI-LVM. The clinical implication is that especially in patients with IR, Sokolow-Lyon voltage is low in contrast to high MRI-LVM., (Copyright © 2012 Elsevier Inc. All rights reserved.)
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- 2012
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40. Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci.
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Saxena R, Elbers CC, Guo Y, Peter I, Gaunt TR, Mega JL, Lanktree MB, Tare A, Castillo BA, Li YR, Johnson T, Bruinenberg M, Gilbert-Diamond D, Rajagopalan R, Voight BF, Balasubramanyam A, Barnard J, Bauer F, Baumert J, Bhangale T, Böhm BO, Braund PS, Burton PR, Chandrupatla HR, Clarke R, Cooper-DeHoff RM, Crook ED, Davey-Smith G, Day IN, de Boer A, de Groot MC, Drenos F, Ferguson J, Fox CS, Furlong CE, Gibson Q, Gieger C, Gilhuijs-Pederson LA, Glessner JT, Goel A, Gong Y, Grant SF, Grobbee DE, Hastie C, Humphries SE, Kim CE, Kivimaki M, Kleber M, Meisinger C, Kumari M, Langaee TY, Lawlor DA, Li M, Lobmeyer MT, Maitland-van der Zee AH, Meijs MF, Molony CM, Morrow DA, Murugesan G, Musani SK, Nelson CP, Newhouse SJ, O'Connell JR, Padmanabhan S, Palmen J, Patel SR, Pepine CJ, Pettinger M, Price TS, Rafelt S, Ranchalis J, Rasheed A, Rosenthal E, Ruczinski I, Shah S, Shen H, Silbernagel G, Smith EN, Spijkerman AW, Stanton A, Steffes MW, Thorand B, Trip M, van der Harst P, van der A DL, van Iperen EP, van Setten J, van Vliet-Ostaptchouk JV, Verweij N, Wolffenbuttel BH, Young T, Zafarmand MH, Zmuda JM, Boehnke M, Altshuler D, McCarthy M, Kao WH, Pankow JS, Cappola TP, Sever P, Poulter N, Caulfield M, Dominiczak A, Shields DC, Bhatt DL, Zhang L, Curtis SP, Danesh J, Casas JP, van der Schouw YT, Onland-Moret NC, Doevendans PA, Dorn GW 2nd, Farrall M, FitzGerald GA, Hamsten A, Hegele R, Hingorani AD, Hofker MH, Huggins GS, Illig T, Jarvik GP, Johnson JA, Klungel OH, Knowler WC, Koenig W, März W, Meigs JB, Melander O, Munroe PB, Mitchell BD, Bielinski SJ, Rader DJ, Reilly MP, Rich SS, Rotter JI, Saleheen D, Samani NJ, Schadt EE, Shuldiner AR, Silverstein R, Kottke-Marchant K, Talmud PJ, Watkins H, Asselbergs FW, de Bakker PI, McCaffery J, Wijmenga C, Sabatine MS, Wilson JG, Reiner A, Bowden DW, Hakonarson H, Siscovick DS, and Keating BJ
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Case-Control Studies, Diabetes Mellitus, Type 2 ethnology, Ethnicity, Female, Follow-Up Studies, Genetic Predisposition to Disease, Genome-Wide Association Study methods, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Young Adult, Diabetes Mellitus, Type 2 genetics, Genetic Loci
- Abstract
To identify genetic factors contributing to type 2 diabetes (T2D), we performed large-scale meta-analyses by using a custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) with ∼2000 candidate genes in 39 multiethnic population-based studies, case-control studies, and clinical trials totaling 17,418 cases and 70,298 controls. First, meta-analysis of 25 studies comprising 14,073 cases and 57,489 controls of European descent confirmed eight established T2D loci at genome-wide significance. In silico follow-up analysis of putative association signals found in independent genome-wide association studies (including 8,130 cases and 38,987 controls) performed by the DIAGRAM consortium identified a T2D locus at genome-wide significance (GATAD2A/CILP2/PBX4; p = 5.7 × 10(-9)) and two loci exceeding study-wide significance (SREBF1, and TH/INS; p < 2.4 × 10(-6)). Second, meta-analyses of 1,986 cases and 7,695 controls from eight African-American studies identified study-wide-significant (p = 2.4 × 10(-7)) variants in HMGA2 and replicated variants in TCF7L2 (p = 5.1 × 10(-15)). Third, conditional analysis revealed multiple known and novel independent signals within five T2D-associated genes in samples of European ancestry and within HMGA2 in African-American samples. Fourth, a multiethnic meta-analysis of all 39 studies identified T2D-associated variants in BCL2 (p = 2.1 × 10(-8)). Finally, a composite genetic score of SNPs from new and established T2D signals was significantly associated with increased risk of diabetes in African-American, Hispanic, and Asian populations. In summary, large-scale meta-analysis involving a dense gene-centric approach has uncovered additional loci and variants that contribute to T2D risk and suggests substantial overlap of T2D association signals across multiple ethnic groups., (Copyright © 2012 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
- Published
- 2012
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41. Omecamtiv mecarbil: a promising new drug in systolic heart failure.
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Meijs MF, Asselbergs FW, and Doevendans PA
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- Humans, Muscle Cells drug effects, Myosins drug effects, Urea therapeutic use, Ventricular Function, Left drug effects, Heart Failure, Systolic drug therapy, Myosins biosynthesis, Urea analogs & derivatives
- Published
- 2012
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42. A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension.
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Genders TS, Steyerberg EW, Alkadhi H, Leschka S, Desbiolles L, Nieman K, Galema TW, Meijboom WB, Mollet NR, de Feyter PJ, Cademartiri F, Maffei E, Dewey M, Zimmermann E, Laule M, Pugliese F, Barbagallo R, Sinitsyn V, Bogaert J, Goetschalckx K, Schoepf UJ, Rowe GW, Schuijf JD, Bax JJ, de Graaf FR, Knuuti J, Kajander S, van Mieghem CA, Meijs MF, Cramer MJ, Gopalan D, Feuchtner G, Friedrich G, Krestin GP, and Hunink MG
- Subjects
- Adult, Aged, Aged, 80 and over, Angina, Stable etiology, Calibration, Early Diagnosis, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Probability, Prospective Studies, ROC Curve, Risk Assessment, Coronary Stenosis diagnosis, Decision Support Techniques
- Abstract
Aims: The aim was to validate, update, and extend the Diamond-Forrester model for estimating the probability of obstructive coronary artery disease (CAD) in a contemporary cohort., Methods and Results: Prospectively collected data from 14 hospitals on patients with chest pain without a history of CAD and referred for conventional coronary angiography (CCA) were used. Primary outcome was obstructive CAD, defined as ≥ 50% stenosis in one or more vessels on CCA. The validity of the Diamond-Forrester model was assessed using calibration plots, calibration-in-the-large, and recalibration in logistic regression. The model was subsequently updated and extended by revising the predictive value of age, sex, and type of chest pain. Diagnostic performance was assessed by calculating the area under the receiver operating characteristic curve (c-statistic) and reclassification was determined. We included 2260 patients, of whom 1319 had obstructive CAD on CCA. Validation demonstrated an overestimation of the CAD probability, especially in women. The updated and extended models demonstrated a c-statistic of 0.79 (95% CI 0.77-0.81) and 0.82 (95% CI 0.80-0.84), respectively. Sixteen per cent of men and 64% of women were correctly reclassified. The predicted probability of obstructive CAD ranged from 10% for 50-year-old females with non-specific chest pain to 91% for 80-year-old males with typical chest pain. Predictions varied across hospitals due to differences in disease prevalence., Conclusion: Our results suggest that the Diamond-Forrester model overestimates the probability of CAD especially in women. We updated the predictive effects of age, sex, type of chest pain, and hospital setting which improved model performance and we extended it to include patients of 70 years and older.
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- 2011
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43. A prediction model for left ventricular mass in patients at high cardiovascular risk.
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Meijs MF, Vergouwe Y, Cramer MJ, Vonken EJ, Velthuis BK, Verton DJ, van der Graaf Y, Visseren FL, Mali WP, Doevendans PA, and Bots ML
- Subjects
- Adult, Aged, Cross-Sectional Studies, Electrocardiography, Female, Heart Ventricles pathology, Humans, Hypertension pathology, Hypertrophy, Left Ventricular etiology, Linear Models, Male, Middle Aged, Netherlands, Prognosis, Prospective Studies, Risk Assessment, Risk Factors, Cardiovascular Diseases etiology, Hypertension complications, Hypertrophy, Left Ventricular diagnosis, Magnetic Resonance Imaging, Models, Cardiovascular
- Abstract
Background: Left ventricular (LV) mass has a continuous relation with cardiovascular risk, and regression of LV mass induced by pharmacological treatment is associated with improved prognosis. Therefore, early identification of patients with a large LV mass is desired. We developed a model to predict LV mass in individual hypertensives at high cardiovascular risk., Design and Methods: We analyzed data of 536 hypertensives with symptomatic extracardiac atherosclerotic disease or marked risk factors for atherosclerosis from a cross-sectional study in a tertiary referral center. LV mass was measured by cardiac MRI. We developed the prediction rule with multivariable linear regression analysis and stepwise backward elimination. Internal validation was assessed with bootstrap sampling to obtain an estimate of model performance (R²) that may be expected for new patients., Results: Important predictors for LV mass included sex, height, body mass index, systolic blood pressure, and previous aneurysm of the abdominal aorta. R² of the prediction model was 45% after internal validation, which was considerably higher than the R² of previously reported models (range 1-38%). Addition of electrocardiography data showed limited improvement of the model performance (R²=47%)., Conclusion: We present a prediction model for LV mass in hypertensives at high cardiovascular risk. After external validation, this model may be used in clinical practice to estimate LV mass for early identification of large LV mass. The predictions of the model may support appropriate medical care in the prevention of cardiovascular disease.
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- 2010
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44. Differences in determinants of left ventricular mass assessed by cardiac magnetic resonance imaging across subjects with and without previous symptomatic atherosclerotic disease.
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Meijs MF, Bots ML, Cramer MJ, Vonken EJ, Velthuis BK, van der Graaf Y, Spiering W, Mali WP, and Doevendans PA
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- Adult, Aged, Aortic Aneurysm, Abdominal epidemiology, Body Weight, Female, Heart Ventricles pathology, Humans, Hypertension epidemiology, Linear Models, Male, Middle Aged, Risk Factors, Smoking epidemiology, Atherosclerosis epidemiology, Hypertrophy, Left Ventricular epidemiology, Hypertrophy, Left Ventricular pathology, Magnetic Resonance Imaging
- Abstract
Background: Most previous studies on determinants of left ventricular (LV) mass have used echocardiography, which is less accurate than cardiac MRI (CMR). Furthermore, studies that used CMR to study the determinants of LV mass were performed in the general population. However, determinants may differ between those with and without previous symptomatic events. We studied the relation between atherosclerotic risk factors and LV mass in subjects free from cardiac disease, yet with and without atherosclerotic disease elsewhere., Methods: A CMR was performed in 531 hypertensive subjects with clinically manifest extra-cardiac atherosclerotic disease or marked risk factors for atherosclerosis. In all subjects information on atherosclerotic risk factors was collected. Multivariable linear regression was used to study the relation of risk factors with LV mass. Interaction was evaluated with multiplicative interaction terms., Results: Overall, male gender, weight, height, systolic blood pressure, albuminuria, current smoking, and a history of abdominal aortic aneurysm (AAA) were related to an increased LV mass. In subjects without a history of symptomatic atherosclerotic disease, gender, weight, height and systolic blood pressure were related to LV mass. In addition to these risk factors, albuminuria, current smoking and a history of AAA were related to LV mass in subjects with a history of symptomatic atherosclerotic disease., Conclusion: Our study points towards differences in risk factor relations across populations with and without symptomatic atherosclerotic disease. The observed relationship between cardiovascular risk factors and LV mass re-emphasizes the importance of adequate treatment of modifiable risk factors in the prevention of cardiovascular disease., (Copyright (c)2008 Elsevier Ireland Ltd. All rights reserved.)
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- 2010
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45. Comparison of frequency of calcified versus non-calcified coronary lesions by computed tomographic angiography in patients with stable versus unstable angina pectoris.
- Author
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Meijs MF, Meijboom WB, Bots ML, Kyrzopoulos S, Eu RN, Prokop M, Doevendans PA, de Feyter PJ, and Cramer MJ
- Subjects
- Aged, Angina, Unstable diagnostic imaging, Coronary Angiography, Female, Humans, Male, Middle Aged, Tomography, X-Ray Computed methods, Angina Pectoris diagnostic imaging, Calcinosis diagnostic imaging, Coronary Artery Disease diagnostic imaging
- Abstract
Computed tomographic coronary angiography (CTCA) can noninvasively identify calcified and noncalcified coronary plaques. The aim of this study was to compare the phenotypes of all plaques and of culprit plaques between patients with unstable angina pectoris (UAP) and those with stable angina pectoris (SAP), because plaque characteristics may differ between these patients. In 110 patients with UAP and 189 with SAP from a multicenter study comparing 64-slice CTCA with conventional coronary angiography, the number and phenotypes (noncalcified, mixed, and calcified) of coronary plaques were compared. In a subanalysis in 50 patients with UAP and 64 with SAP, culprit plaque characteristics, including culprit plaque cross-sectional area relative to total vessel cross-sectional area, culprit plaque length, remodeling index, and spotty calcification, were determined. Odds ratios for the presence of UAP, adjusted for clinical variables and the total number of plaques, were calculated for plaque characteristics on CTCA. Although the number of plaques was similar for patients with UAP and those with SAP, plaques in patients with UAP were more frequently noncalcified than in patients with SAP. The odds ratio for UAP was 1.3 (95% confidence interval [CI] 1.1 to 1.5) per noncalcified plaque. In the culprit plaque subanalysis, odds ratios for UAP were 0.99 (95% CI 0.96 to 1.01) per millimeter culprit plaque length, 2.7 (95% CI 1.2 to 6.4) for noncalcified culprit plaque, and 1.06 (95% CI 0.99 to 1.13) per percentage relative culprit plaque cross-sectional area. No significant relation was found between remodeling index or spotty calcification and UAP. In conclusion, noncalcified plaques and large noncalcified culprit plaques are more frequently found in patients with UAP than in those with SAP.
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- 2009
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46. Relation of common carotid intima-media thickness with left ventricular mass caused by shared risk factors for hypertrophy.
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Meijs MF, Doevendans PA, Cramer MJ, Vonken EJ, Velthuis BK, van der Graaf Y, Visseren FL, Mali WP, and Bots ML
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Comorbidity, Female, Humans, Male, Mass Screening, Middle Aged, Netherlands epidemiology, Predictive Value of Tests, Prevalence, Prospective Studies, Referral and Consultation, Risk Factors, Ultrasonography, Young Adult, Coronary Artery Disease diagnostic imaging, Coronary Artery Disease epidemiology, Endothelium, Vascular diagnostic imaging, Hypertrophy, Left Ventricular diagnostic imaging, Hypertrophy, Left Ventricular epidemiology, Ventricular Dysfunction, Left diagnostic imaging, Ventricular Dysfunction, Left epidemiology
- Abstract
Background: It is unclear whether the relationship between common carotid intima-media thickness (cCIMT) and left ventricular mass (LVM) is due to shared risk factors for atherosclerosis or for hypertrophy., Methods: In 525 hypertensive subjects at high cardiovascular risk, the relation of cCIMT to LVM and established vascular risk factors was studied., Results: CCIMT was positively related to LVM. In a multivariable model including age, gender, height, weight, and LVM, a 1-g increase in LVM related to an increase in cCIMT of 1.6 microm (95% confidence interval, 0.8-2.4). After adjustment for atherosclerotic risk factors, notably previous stroke or transient ischemic attack, peripheral arterial disease, lipid-lowering medication, albuminuria and current smoking, the relation remained unchanged. In contrast, addition of systolic and diastolic blood pressure and hypertension treatment attenuated Beta for the relation between cCIMT and LVM with 19% to 1.3 microm (95% confidence interval, 0.2-2.2)., Conclusion: The relationship between cCIMT and LVM may be due to risk factors for hypertrophy rather than for atherosclerotic factors in a considerable proportion of patients.
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- 2009
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47. Targeted deletion of nuclear factor kappaB p50 enhances cardiac remodeling and dysfunction following myocardial infarction.
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Timmers L, van Keulen JK, Hoefer IE, Meijs MF, van Middelaar B, den Ouden K, van Echteld CJ, Pasterkamp G, and de Kleijn DP
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- Animals, Cardiomegaly etiology, Cardiomegaly metabolism, Cardiomegaly physiopathology, Cells, Cultured, Collagen metabolism, Disease Models, Animal, Fibrosis, Humans, Inflammation etiology, Inflammation metabolism, Inflammation physiopathology, Inflammation Mediators metabolism, Interleukin-6 metabolism, Lipopolysaccharides pharmacology, Magnetic Resonance Imaging, Mice, Mice, Knockout, Myocardial Infarction metabolism, Myocardial Infarction pathology, Myocardial Infarction physiopathology, Myocardium pathology, NF-kappa B p50 Subunit genetics, Stroke Volume, Time Factors, Transcription Factor RelA metabolism, Ventricular Dysfunction, Left metabolism, Ventricular Dysfunction, Left pathology, Ventricular Dysfunction, Left physiopathology, Wound Healing, Gene Deletion, Myocardial Infarction complications, Myocardium metabolism, NF-kappa B p50 Subunit deficiency, Ventricular Dysfunction, Left etiology, Ventricular Remodeling drug effects
- Abstract
Myocardial infarction is commonly complicated by left ventricular remodeling, a process that leads to cardiac dilatation, congestive heart failure and death. The innate immune system plays a pivotal role in the remodeling process via nuclear factor (NF)-kappaB activation. The NF-kappaB transcription factor family includes several subunits (p50, p52, p65, c-Rel, and Rel B) that respond to myocardial ischemia. The function of NF-kappaB p50, however, is controversial in this process. To clarify the role of NF-kappaB p50 in postinfarct left ventricular remodeling, myocardial infarction was induced in wild-type 129Bl6 mice and NF-kappaB p50-deficient mice. Without affecting infarct size, deletion of NF-kappaB p50 markedly increased the extent of expansive remodeling (end-diastolic volume: 176+/-13 microL versus 107+/-11 microL; P=0.003) and aggravated systolic dysfunction (left ventricular ejection fraction: 16.1+/-1.5% versus 24.7+/-3.7%; P=0.029) in a 28-day time period. Interstitial fibrosis and hypertrophy in the noninfarcted myocardium was increased in NF-kappaB p50 knockout mice. In the infarct area, a lower collagen density was observed, which was accompanied by an increased number of macrophages, higher gelatinase activity and increased inflammatory cytokine expression. In conclusion, targeted deletion of NF-kappaB p50 results in enhanced cardiac remodeling and functional deterioration following myocardial infarction by increasing matrix remodeling and inflammation.
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- 2009
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48. Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study.
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Meijboom WB, Meijs MF, Schuijf JD, Cramer MJ, Mollet NR, van Mieghem CA, Nieman K, van Werkhoven JM, Pundziute G, Weustink AC, de Vos AM, Pugliese F, Rensing B, Jukema JW, Bax JJ, Prokop M, Doevendans PA, Hunink MG, Krestin GP, and de Feyter PJ
- Subjects
- Aged, Confidence Intervals, Coronary Artery Disease physiopathology, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prevalence, Prospective Studies, Sensitivity and Specificity, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging, Tomography, X-Ray Computed
- Abstract
Objectives: This study sought to determine the diagnostic accuracy of 64-slice computed tomographic coronary angiography (CTCA) to detect or rule out significant coronary artery disease (CAD)., Background: CTCA is emerging as a noninvasive technique to detect coronary atherosclerosis., Methods: We conducted a prospective, multicenter, multivendor study involving 360 symptomatic patients with acute and stable anginal syndromes who were between 50 and 70 years of age and were referred for diagnostic conventional coronary angiography (CCA) from September 2004 through June 2006. All patients underwent a nonenhanced calcium scan and a CTCA, which was compared with CCA. No patients or segments were excluded because of impaired image quality attributable to either coronary motion or calcifications. Patient-, vessel-, and segment-based sensitivities and specificities were calculated to detect or rule out significant CAD, defined as >or=50% lumen diameter reduction., Results: The prevalence among patients of having at least 1 significant stenosis was 68%. In a patient-based analysis, the sensitivity for detecting patients with significant CAD was 99% (95% confidence interval [CI]: 98% to 100%), specificity was 64% (95% CI: 55% to 73%), positive predictive value was 86% (95% CI: 82% to 90%), and negative predictive value was 97% (95% CI: 94% to 100%). In a segment-based analysis, the sensitivity was 88% (95% CI: 85% to 91%), specificity was 90% (95% CI: 89% to 92%), positive predictive value was 47% (95% CI: 44% to 51%), and negative predictive value was 99% (95% CI: 98% to 99%)., Conclusions: Among patients in whom a decision had already been made to obtain CCA, 64-slice CTCA was reliable for ruling out significant CAD in patients with stable and unstable anginal syndromes. A positive 64-slice CTCA scan often overestimates the severity of atherosclerotic obstructions and requires further testing to guide patient management.
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- 2008
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49. Relation of epicardial and pericoronary fat to coronary atherosclerosis and coronary artery calcium in patients undergoing coronary angiography.
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Gorter PM, de Vos AM, van der Graaf Y, Stella PR, Doevendans PA, Meijs MF, Prokop M, and Visseren FL
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- Angina Pectoris etiology, Body Mass Index, Calcinosis diagnosis, Calcinosis epidemiology, Coronary Artery Disease complications, Coronary Artery Disease diagnosis, Cross-Sectional Studies, Disease Progression, Female, Humans, Male, Middle Aged, Risk Factors, Severity of Illness Index, Tomography, X-Ray Computed, Adiposity, Calcinosis pathology, Coronary Angiography, Coronary Artery Disease pathology, Coronary Vessels pathology, Pericardium pathology
- Abstract
Fat surrounding coronary arteries might aggravate coronary artery disease (CAD). We investigated the relation between epicardial adipose tissue (EAT) and pericoronary fat and coronary atherosclerosis and coronary artery calcium (CAC) in patients with suspected CAD and whether this relation is modified by total body weight. This was a cross-sectional study of 128 patients with angina pectoris (61 +/- 6 years of age) undergoing coronary angiography. EAT volume and pericoronary fat thickness were measured with cardiac computed tomography. Severity of coronary atherosclerosis was assessed by the number of stenotic (> or =50%) coronary vessels; extent of CAC was determined by the Agatston score. Patients were stratified for median total body weight (body mass index [BMI] 27 kg/m(2)). Overall, EAT and pericoronary fat were not associated with severity of coronary atherosclerosis and extent of CAC. In patients with low BMI, those with multivessel disease had increased EAT volume (100 vs 67 cm(3), p = 0.04) and pericoronary fat thickness (9.8 vs 8.4 mm, p = 0.06) compared with those without CAD. Also, patients with severe CAC had increased EAT volume (108.0 vs 69 cm(3), p = 0.02) and pericoronary fat thickness (10.0 vs 8.2 mm, p value = 0.01) compared with those with minimal/absent CAC. In conclusion, EAT and pericoronary fat were not associated with severity of coronary atherosclerosis and CAC in patients with suspected CAD. However, in those with low BMI, increased EAT and pericoronary fat were related to more severe coronary atherosclerosis and CAC. Fat surrounding coronary arteries may be involved in the process of coronary atherosclerosis, although this is different for patients with low and high BMIs.
- Published
- 2008
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50. Quantification of epicardial and peri-coronary fat using cardiac computed tomography; reproducibility and relation with obesity and metabolic syndrome in patients suspected of coronary artery disease.
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Gorter PM, van Lindert AS, de Vos AM, Meijs MF, van der Graaf Y, Doevendans PA, Prokop M, and Visseren FL
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- Adipose Tissue pathology, Aged, Coronary Angiography, Coronary Artery Disease diagnostic imaging, Female, Humans, Male, Metabolic Syndrome complications, Middle Aged, Obesity, Reproducibility of Results, Adipose Tissue diagnostic imaging, Coronary Artery Disease physiopathology, Coronary Vessels physiopathology, Tomography, Spiral Computed
- Abstract
Objective: Adipose tissue surrounding coronary arteries may contribute to the development of coronary atherosclerosis given its localisation and potential for local production of inflammatory cytokines. We compared various measurements for quantifying epicardial adipose tissue (EAT) and peri-coronary fat using cardiac CT. Additionally, we estimated their relationship with obesity and metabolic syndrome in patients suspected of coronary artery disease (CAD)., Methods: EAT and peri-coronary fat measurements were performed on cardiac multi-slice CT scans in 60 patients (aged 50-70 years) referred for coronary angiography. EAT was measured as thickness on the right ventricular free wall, as area at the base of the ventricles, and as volume. Peri-coronary fat was assessed as thickness and cross-sectional area surrounding the three main coronary arteries. Linear regression analysis was used to assess the relation of EAT and peri-coronary fat with obesity and metabolic syndrome (ATPIII criteria)., Results: Volumetric EAT measurements showed good reproducibility with low coefficients of variation (CVs) varying between 3.0% and 5.0%. Measurements of EAT and peri-coronary fat thickness and area were moderately reproducible (CVs 11.0-23.4%). The amount of EAT and peri-coronary fat (per standard deviation) was related with obesity (BMI > or =30 kg/m(2)) (beta 1.24; 95% CI 0.66; 1.81) and metabolic syndrome (beta 0.81; 95% CI 0.28; 1.33)., Conclusions: Volumetric quantification of EAT using cardiac CT is highly reproducible compared to more simple measurements as EAT and peri-coronary fat thickness and area. The quantity of EAT and peri-coronary fat is related with the presence of obesity and metabolic syndrome in patients suspected of CAD.
- Published
- 2008
- Full Text
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