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114 results on '"Sammani, Arjan"'

4. Dilated Cardiomyopathy Due to BLC2-Associated Athanogene 3 (BAG3) Mutations

Author

Eiskjær, Hans, Barriales, Roberto, Fernández Fernández, Xusto, Cicerchia, Marcos, Monserrat, Lorenzo, Ochoa, Juan Pablo, Salazar-Mendiguchia, Joel, Mogollón, Maria Victoria, Ripoll, Tomás, Charron, Philippe, Richard, Pascale, Villard, Eric, Palomino Doza, Julian, Fontalba, Ana, Alonso-Pulpón, Luis, Cobo-Marcos, Marta, Domínguez, Fernando, Garcia-Pavia, Pablo, Gómez-Bueno, Manuel, González-López, Esther, Hernández-Hernández, Aitor, Hernández-Pérez, Francisco José, López-Sainz, Ángela, Restrepo-Córdoba, Alejandra, Segovia-Cubero, Javier, Toro, Rocio, de Gonzalo-Calvo, David, Rosa Longobardo, Félix, Limeres, Javier, Rodriguez-Palomares, Jose F., Garcia-Pinilla, Jose Manuel, López-Garrido, Miguel A., Jiménez-Jaimez, Juan, Garcia-Medina, Dolores, Rangel Sousa, Diego, Peña, Maria Luisa, Mogensen, Jens, Morris-Hey, Thomas, Barton, Paul J., Cook, Stuart A., Midwinter, William, Roberts, Angharad M., Ware, James S., Walsh, Roddy, Akhtar, Mohammed, Elliott, Perry M., Rocha-Lopes, Luis, Savvatis, Konstantinos, Syrris, Petros, Michalak, Ewa, Ploski, Rafal, Sobieszczanska-Malek, Malgorzata, Bilińska, Zofia, Pankuweit, Sabine, Asselbergs, Folkert, Baas, Annette, Dooijes, Dennis, Sammani, Arjan, Cuenca, Sofía, Toro, Rocío, Barriales-Villa, Roberto, Franaszczyk, Maria, Coronado-Albi, Maria José, Rangel-Sousa, Diego, Jiménez-Jáimez, Juan, Garcia-Pinilla, José Manuel, Ripoll-Vera, Tomás, Mogollón-Jiménez, Maria Victoria, Fontalba-Romero, Ana, Palomino-Doza, Julian, Salas, Clara, Hey, Thomas Morris, and Elliott, Perry

Published
2018
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5. Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks

Author

Sammani, Arjan, van de Leur, Rutger R., Henkens, Michiel T. H. M., Meine, Mathias, Loh, Peter, Hassink, Rutger J., Oberski, Daniel L., Heymans, Stephane R. B., Doevendans, Pieter A., Asselbergs, Folkert W., te Riele, Anneline S. J. M., van Es, Rene, Leerstoel Oberski, Methodology and statistics for the behavioural and social sciences, Cardiologie, RS: Carim - H02 Cardiomyopathy, MUMC+: MA Med Staf Spec Cardiologie (9), Leerstoel Oberski, and Methodology and statistics for the behavioural and social sciences

Subjects
Cardiomyopathy, Dilated, Male, Science & Technology, Cardiac & Cardiovascular Systems, Dilated cardiomyopathy, Arrhythmias, Cardiac, Stroke Volume, Middle Aged, Deep neural network, Prognosis, Ventricular Function, Left, Implantable cardioverter-defibrillator, Defibrillators, Implantable, Electrocardiography, Sudden cardiac death, Death, Sudden, Cardiac, Risk Factors, Physiology (medical), Cardiovascular System & Cardiology, Humans, HEART, Female, Neural Networks, Computer, Cardiology and Cardiovascular Medicine, Life Sciences & Biomedicine
Abstract

Aims While electrocardiogram (ECG) characteristics have been associated with life-threatening ventricular arrhythmias (LTVA) in dilated cardiomyopathy (DCM), they typically rely on human-derived parameters. Deep neural networks (DNNs) can discover complex ECG patterns, but the interpretation is hampered by their ‘black-box’ characteristics. We aimed to detect DCM patients at risk of LTVA using an inherently explainable DNN. Methods and results In this two-phase study, we first developed a variational autoencoder DNN on more than 1 million 12-lead median beat ECGs, compressing the ECG into 21 different factors (F): FactorECG. Next, we used two cohorts with a combined total of 695 DCM patients and entered these factors in a Cox regression for the composite LTVA outcome, which was defined as sudden cardiac arrest, spontaneous sustained ventricular tachycardia, or implantable cardioverter-defibrillator treated ventricular arrhythmia. Most patients were male (n = 442, 64%) with a median age of 54 years [interquartile range (IQR) 44–62], and median left ventricular ejection fraction of 30% (IQR 23–39). A total of 115 patients (16.5%) reached the study outcome. Factors F8 (prolonged PR-interval and P-wave duration, P Conclusion Inherently explainable DNNs can detect patients at risk of LTVA which is mainly driven by P-wave abnormalities.

Published
2022

6. Genetic Evaluation of A Nation-Wide Dutch Pediatric DCM Cohort: The Use of Genetic Testing in Risk Stratification

Author

van der Meulen, Marijke H., primary, Herkert, Johanna C., additional, den Boer, Susanna L., additional, du Marchie Sarvaas, Gideon J., additional, Blom, Nico, additional, ten Harkel, Arend D.J., additional, Breur, Hans M.P.J., additional, Rammeloo, Lukas A.J., additional, Tanke, Ronald, additional, Marcelis, Carlo, additional, van de Laar, Ingrid M.B.H., additional, Verhagen, Judith M.A., additional, Lekanne dit Deprez, Ronald H., additional, Barge-Schaapveld, Daniela Q.C.M., additional, Baas, Annette, additional, Sammani, Arjan, additional, Christiaans, Imke, additional, van Tintelen, J. Peter, additional, and Dalinghaus, Michiel, additional

Published
2022
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7. Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders

Author

van de Leur, Rutger R, primary, Bos, Max N, additional, Taha, Karim, additional, Sammani, Arjan, additional, Yeung, Ming Wai, additional, van Duijvenboden, Stefan, additional, Lambiase, Pier D, additional, Hassink, Rutger J, additional, van der Harst, Pim, additional, Doevendans, Pieter A, additional, Gupta, Deepak K, additional, and van Es, René, additional

Published
2022
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8. Interatrial Block Predicts Life‐Threatening Arrhythmias in Dilated Cardiomyopathy

Author

Henkens, Michiel T. H. M., primary, López Martínez, Helena, additional, Weerts, Jerremy, additional, Sammani, Arjan, additional, Raafs, Anne G., additional, Verdonschot, Job A. J., additional, van de Leur, Rutger R., additional, Sikking, Maurits A., additional, Stroeks, Sophia, additional, van Empel, Vanessa P. M., additional, Brunner‐La Rocca, Hans‐Peter, additional, van Stipdonk, Antonius M. W., additional, Farmakis, Dimitrios, additional, Hazebroek, Mark R., additional, Vernooy, Kevin, additional, Bayés‐de‐Luna, Antoni, additional, Asselbergs, Folkert W., additional, Bayés‐Genís, Antoni, additional, and Heymans, Stephane R. B., additional

Published
2022
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9. Candidate Plasma Biomarkers to Detect Anthracycline‐Related Cardiomyopathy in Childhood Cancer Survivors: A Case Control Study in the Dutch Childhood Cancer Survivor Study

Author

Leerink, Jan M., primary, Feijen, Elizabeth A. M., additional, Moerland, Perry D., additional, de Baat, Esmee C., additional, Merkx, Remy, additional, van der Pal, Helena J. H., additional, Tissing, Wim J. E., additional, Louwerens, Marloes, additional, van den Heuvel‐Eibrink, Marry M., additional, Versluys, A. Birgitta, additional, Asselbergs, Folkert W., additional, Sammani, Arjan, additional, Teske, Arco J., additional, van Dalen, Elvira C., additional, van der Heiden‐van der Loo, Margriet, additional, van Dulmen‐den Broeder, Eline, additional, de Vries, Andrica C. H., additional, Kapusta, Livia, additional, Loonen, Jacqueline, additional, Pinto, Yigal M., additional, Kremer, Leontien C. M., additional, Mavinkurve‐Groothuis, Annelies M. C., additional, and Kok, Wouter E. M., additional

Published
2022
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10. Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks

Author

Leerstoel Oberski, Methodology and statistics for the behavioural and social sciences, Sammani, Arjan, van de Leur, Rutger R., Henkens, Michiel T. H. M., Meine, Mathias, Loh, Peter, Hassink, Rutger J., Oberski, Daniel L., Heymans, Stephane R. B., Doevendans, Pieter A., Asselbergs, Folkert W., te Riele, Anneline S. J. M., van Es, Rene, Leerstoel Oberski, Methodology and statistics for the behavioural and social sciences, Sammani, Arjan, van de Leur, Rutger R., Henkens, Michiel T. H. M., Meine, Mathias, Loh, Peter, Hassink, Rutger J., Oberski, Daniel L., Heymans, Stephane R. B., Doevendans, Pieter A., Asselbergs, Folkert W., te Riele, Anneline S. J. M., and van Es, Rene

Published
2022

11. Candidate Plasma Biomarkers to Detect Anthracycline-Related Cardiomyopathy in Childhood Cancer Survivors:A Case Control Study in the Dutch Childhood Cancer Survivor Study

Author

Leerink, Jan M., Feijen, Elizabeth A.M., Moerland, Perry D., de Baat, Esmee C., Merkx, Remy, van der Pal, Helena J.H., Tissing, Wim J.E., Louwerens, Marloes, van den Heuvel-Eibrink, Marry M., Versluys, A. Birgitta, Asselbergs, Folkert W., Sammani, Arjan, Teske, Arco J., van Dalen, Elvira C., van der Heiden-Van der Loo, Margriet, van Dulmen-Den Broeder, Eline, de Vries, Andrica C.H., Kapusta, Livia, Loonen, Jacqueline, Pinto, Yigal M., Kremer, Leontien C.M., Mavinkurve-Groothuis, Annelies M.C., Kok, Wouter E.M., Leerink, Jan M., Feijen, Elizabeth A.M., Moerland, Perry D., de Baat, Esmee C., Merkx, Remy, van der Pal, Helena J.H., Tissing, Wim J.E., Louwerens, Marloes, van den Heuvel-Eibrink, Marry M., Versluys, A. Birgitta, Asselbergs, Folkert W., Sammani, Arjan, Teske, Arco J., van Dalen, Elvira C., van der Heiden-Van der Loo, Margriet, van Dulmen-Den Broeder, Eline, de Vries, Andrica C.H., Kapusta, Livia, Loonen, Jacqueline, Pinto, Yigal M., Kremer, Leontien C.M., Mavinkurve-Groothuis, Annelies M.C., and Kok, Wouter E.M.

Abstract

BACKGROUND: Plasma biomarkers may aid in the detection of anthracycline-related cardiomyopathy (ACMP). However, the cur-rently available biomarkers have limited diagnostic value in long-term childhood cancer survivors. This study sought to identify diagnostic plasma biomarkers for ACMP in childhood cancer survivors. METHODS AND RESULTS: We measured 275 plasma proteins in 28 ACMP cases with left ventricular ejection fraction <45%, 29 anthracycline-treated controls with left ventricular ejection fraction ≥53% matched on sex, time after cancer, and anthracy-cline dose, and 29 patients with genetically determined dilated cardiomyopathy with left ventricular ejection fraction <45%. Multivariable linear regression was used to identify differentially expressed proteins. Elastic net model, including clinical char-acteristics, was used to assess discrimination of proteins diagnostic for ACMP. NT-proBNP (N-terminal pro-B-type natriuretic peptide) and the inflammatory markers CCL19 (C-C motif chemokine ligands 19) and CCL20, PSPD (pulmonary surfactant protein-D), and PTN (pleiotrophin) were significantly upregulated in ACMP compared with controls. An elastic net model selected 45 proteins, including NT-proBNP, CCL19, CCL20 and PSPD, but not PTN, that discriminated ACMP cases from controls with an area under the receiver operating characteristic curve (AUC) of 0.78. This model was not superior to a model including NT-proBNP and clinical characteristics (AUC=0.75; P=0.766). However, when excluding 8 ACMP cases with heart failure, the full model was superior to that including only NT-proBNP and clinical characteristics (AUC=0.75 versus AUC=0.50; P=0.022). The same 45 proteins also showed good discrimination between dilated cardiomyopathy and controls (AUC=0.89), underscoring their association with cardiomyopathy. CONCLUSIONS: We identified 3 specific inflammatory proteins as candidate plasma biomarkers for ACMP in long-term childhood cancer survivors and demonstrated pro

Published
2022

12. Genetic Evaluation of A Nation-Wide Dutch Pediatric DCM Cohort:The Use of Genetic Testing in Risk Stratification

Author

van der Meulen, Marijke H., Herkert, Johanna C., den Boer, Susanna L., du Marchie Sarvaas, Gideon J., Blom, Nico A., Ten Harkel, Arend D.J., Breur, Hans M.P.J., Rammeloo, Lukas A.J., Tanke, Ronald B., Marcelis, Carlo, van de Laar, Ingrid M.B.H., Verhagen, Judith M.A., Lekanne Dit Deprez, Ronald H., Barge-Schaapveld, Daniela Q.C.M., Baas, Annette F., Sammani, Arjan, Christiaans, Imke, van Tintelen, J. Peter, Dalinghaus, Michiel, van der Meulen, Marijke H., Herkert, Johanna C., den Boer, Susanna L., du Marchie Sarvaas, Gideon J., Blom, Nico A., Ten Harkel, Arend D.J., Breur, Hans M.P.J., Rammeloo, Lukas A.J., Tanke, Ronald B., Marcelis, Carlo, van de Laar, Ingrid M.B.H., Verhagen, Judith M.A., Lekanne Dit Deprez, Ronald H., Barge-Schaapveld, Daniela Q.C.M., Baas, Annette F., Sammani, Arjan, Christiaans, Imke, van Tintelen, J. Peter, and Dalinghaus, Michiel

Abstract

BACKGROUND: This study aimed to describe the current practice and results of genetic evaluation in Dutch children with dilated cardiomyopathy and to evaluate genotype-phenotype correlations that may guide prognosis.METHODS: We performed a multicenter observational study in children diagnosed with dilated cardiomyopathy, from 2010 to 2017.RESULTS: One hundred forty-four children were included. Initial diagnostic categories were idiopathic dilated cardiomyopathy in 67 children (47%), myocarditis in 23 (16%), neuromuscular in 7 (5%), familial in 18 (13%), inborn error of metabolism in 4 (3%), malformation syndrome in 2 (1%), and "other" in 23 (16%). Median follow-up time was 2.1 years [IQR 1.0-4.3]. Hundred-seven patients (74%) underwent genetic testing. We found a likely pathogenic or pathogenic variant in 38 children (36%), most often in MYH7 (n = 8). In 1 patient initially diagnosed with myocarditis, a pathogenic LMNA variant was found. During the study, 39 patients (27%) reached study endpoint (SE: all-cause death or heart transplantation). Patients with a likely pathogenic or pathogenic variant were more likely to reach SE compared with those without (hazard ratio 2.8; 95% CI 1.3-5.8, P = 0.007), while transplant-free survival was significantly lower (P = 0.006). Clinical characteristics at diagnosis did not differ between the 2 groups.CONCLUSIONS: Genetic testing is a valuable tool for predicting prognosis in children with dilated cardiomyopathy, with carriers of a likely pathogenic or pathogenic variant having a worse prognosis overall. Genetic testing should be incorporated in clinical work-up of all children with dilated cardiomyopathy regardless of presumed disease pathogenesis.

Published
2022

13. Candidate Plasma Biomarkers to Detect Anthracycline-Related Cardiomyopathy in Childhood Cancer Survivors: A Case Control Study in the Dutch Childhood Cancer Survivor Study

Author

PMC Medisch specialisten, Zorg en O&O, Child Health, Speerpunt, Haematologie patientenzorg, Team Medisch, Circulatory Health, Onderzoek Precision medicine, Leerink, Jan M, Feijen, Elizabeth A M, Moerland, Perry D, de Baat, Esmee C, Merkx, Remy, van der Pal, Helena J H, Tissing, Wim J E, Louwerens, Marloes, van den Heuvel-Eibrink, Marry M, Versluys, A Birgitta, Asselbergs, Folkert W, Sammani, Arjan, Teske, Arco J, van Dalen, Elvira C, van der Heiden-van der Loo, Margriet, van Dulmen-den Broeder, Eline, de Vries, Andrica C H, Kapusta, Livia, Loonen, Jacqueline, Pinto, Yigal M, Kremer, Leontien C M, Mavinkurve-Groothuis, Annelies M C, Kok, Wouter E M, PMC Medisch specialisten, Zorg en O&O, Child Health, Speerpunt, Haematologie patientenzorg, Team Medisch, Circulatory Health, Onderzoek Precision medicine, Leerink, Jan M, Feijen, Elizabeth A M, Moerland, Perry D, de Baat, Esmee C, Merkx, Remy, van der Pal, Helena J H, Tissing, Wim J E, Louwerens, Marloes, van den Heuvel-Eibrink, Marry M, Versluys, A Birgitta, Asselbergs, Folkert W, Sammani, Arjan, Teske, Arco J, van Dalen, Elvira C, van der Heiden-van der Loo, Margriet, van Dulmen-den Broeder, Eline, de Vries, Andrica C H, Kapusta, Livia, Loonen, Jacqueline, Pinto, Yigal M, Kremer, Leontien C M, Mavinkurve-Groothuis, Annelies M C, and Kok, Wouter E M

Published
2022

14. Genetic Evaluation of A Nation-Wide Dutch Pediatric DCM Cohort: The Use of Genetic Testing in Risk Stratification

Author

Circulatory Health, Cardiologie onderzoek 1, Child Health, Regenerative Medicine and Stem Cells, Genetica Klinische Genetica, Onderzoek Precision medicine, Genetica, van der Meulen, Marijke H, Herkert, Johanna C, den Boer, Susanna L, du Marchie Sarvaas, Gideon J, Blom, Nico, Ten Harkel, Arend D J, Breur, Hans M P J, Rammeloo, Lukas A J, Tanke, Ronald, Marcelis, Carlo, van de Laar, Ingrid M B H, Verhagen, Judith M A, Lekanne Dit Deprez, Ronald H, Barge-Schaapveld, Daniela Q C M, Baas, Annette, Sammani, Arjan, Christiaans, Imke, van Tintelen, J Peter, Dalinghaus, Michiel, Circulatory Health, Cardiologie onderzoek 1, Child Health, Regenerative Medicine and Stem Cells, Genetica Klinische Genetica, Onderzoek Precision medicine, Genetica, van der Meulen, Marijke H, Herkert, Johanna C, den Boer, Susanna L, du Marchie Sarvaas, Gideon J, Blom, Nico, Ten Harkel, Arend D J, Breur, Hans M P J, Rammeloo, Lukas A J, Tanke, Ronald, Marcelis, Carlo, van de Laar, Ingrid M B H, Verhagen, Judith M A, Lekanne Dit Deprez, Ronald H, Barge-Schaapveld, Daniela Q C M, Baas, Annette, Sammani, Arjan, Christiaans, Imke, van Tintelen, J Peter, and Dalinghaus, Michiel

Published
2022

15. Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks

Author

Team Onderzoek, Team Medisch, Circulatory Health, Datascience, Regenerative Medicine and Stem Cells, Arts Assistenten Cardiologie, Onderzoek Precision medicine, Zabihi Sammani, Arjan, van de Leur, Rutger R, Henkens, Michiel T H M, Meine, Mathias, Loh, Peter, Hassink, Rutger J, Oberski, Daniel L, Heymans, Stephane R B, Doevendans, Pieter A, Asselbergs, Folkert W, te Riele, Anneline S J M, van Es, René, Team Onderzoek, Team Medisch, Circulatory Health, Datascience, Regenerative Medicine and Stem Cells, Arts Assistenten Cardiologie, Onderzoek Precision medicine, Zabihi Sammani, Arjan, van de Leur, Rutger R, Henkens, Michiel T H M, Meine, Mathias, Loh, Peter, Hassink, Rutger J, Oberski, Daniel L, Heymans, Stephane R B, Doevendans, Pieter A, Asselbergs, Folkert W, te Riele, Anneline S J M, and van Es, René

Published
2022

16. Automatic Identification of Patients With Unexplained Left Ventricular Hypertrophy in Electronic Health Record Data to Improve Targeted Treatment and Family Screening

Author

Onderzoek Precision medicine, Genetica Klinische Genetica, Team Medisch, Circulatory Health, Arts Assistenten Cardiologie, Sammani, Arjan, Jansen, Mark, de Vries, Nynke M, de Jonge, Nicolaas, Baas, Annette F, Te Riele, Anneline S J M, Asselbergs, Folkert W, Oerlemans, Marish I F J, Onderzoek Precision medicine, Genetica Klinische Genetica, Team Medisch, Circulatory Health, Arts Assistenten Cardiologie, Sammani, Arjan, Jansen, Mark, de Vries, Nynke M, de Jonge, Nicolaas, Baas, Annette F, Te Riele, Anneline S J M, Asselbergs, Folkert W, and Oerlemans, Marish I F J

Published
2022

18. Inherently explainable deep neural network-based interpretation of electrocardiograms using variational auto-encoders

Author

van de Leur, Rutger R., primary, Bos, Max N., additional, Taha, Karim, additional, Sammani, Arjan, additional, van Duijvenboden, Stefan, additional, Lambiase, Pier D., additional, Hassink, Rutger J., additional, van der Harst, Pim, additional, Doevendans, Pieter A., additional, Gupta, Deepak K., additional, and van Es, René, additional

Published
2022
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19. Abstract 10161: Predicting Life-Threatening Ventricular Arrhythmias in Patients with Non-Ischemic Dilated Cardiomyopathy Using Electrocardiogram-Based Deep Neural Networks

Author

Sammani, Arjan, primary, Leur, Rutger R, additional, Meine, Mathias, additional, Loh, Peter, additional, Hassink, Rutger J, additional, Oberski, Daniel L, additional, Henkens, Michiel T, additional, Heymans, Stephane, additional, Doevendans, Pieter, additional, te Riele, Anneline S, additional, van Es, Rene, additional, and Asselbergs, Folkert W, additional

Published
2021
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20. A novel risk model for predicting potentially life-threatening arrhythmias in non-ischemic dilated cardiomyopathy (DCM-SVA risk)

Author

Kayvanpour, Elham, primary, Sammani, Arjan, additional, Sedaghat-Hamedani, Farbod, additional, Lehmann, David H., additional, Broezel, Alicia, additional, Koelemenoglu, Jan, additional, Chmielewski, Przemysław, additional, Curjol, Angelique, additional, Socie, Pierre, additional, Miersch, Tobias, additional, Haas, Jan, additional, Gi, Weng-Tein, additional, Richard, Pascale, additional, Płoski, Rafał, additional, Truszkowska, Grażyna, additional, Baas, Annette F., additional, Foss-Nieradko, Bogna, additional, Michalak, Ewa, additional, Stępień-Wojno, Małgorzata, additional, Zakrzewska-Koperska, Joanna, additional, Śpiewak, Mateusz, additional, Zieliński, Tomasz, additional, Villard, Eric, additional, te Riele, Anneline S.J.M., additional, Katus, Hugo A., additional, Frey, Norbert, additional, Bilińska, Zofia T., additional, Charron, Philippe, additional, Asselbergs, Folkert W., additional, and Meder, Benjamin, additional

Published
2021
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22. Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks

Author

Leerstoel Heijden, Methodology and statistics for the behavioural and social sciences, Leerstoel Klugkist, Sammani, Arjan, Bagheri, Ayoub, van der Heijden, Peter G M, Te Riele, Anneline S J M, Baas, Annette F, Oosters, C A J, Oberski, Daniel, Asselbergs, Folkert W, Leerstoel Heijden, Methodology and statistics for the behavioural and social sciences, Leerstoel Klugkist, Sammani, Arjan, Bagheri, Ayoub, van der Heijden, Peter G M, Te Riele, Anneline S J M, Baas, Annette F, Oosters, C A J, Oberski, Daniel, and Asselbergs, Folkert W

Published
2021

23. Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks

Author

Verpleegafdeling Cardiologie, Onderzoek Precision medicine, Arts Assistenten Cardiologie, Circulatory Health, Genetica, Genetica Klinische Genetica, Datascience, Team Medisch, Sammani, Arjan, Bagheri, Ayoub, van der Heijden, Peter G.M., te Riele, Anneline S.J.M., Baas, Annette F., Oosters, C. A.J., Oberski, Daniel, Asselbergs, Folkert W., Verpleegafdeling Cardiologie, Onderzoek Precision medicine, Arts Assistenten Cardiologie, Circulatory Health, Genetica, Genetica Klinische Genetica, Datascience, Team Medisch, Sammani, Arjan, Bagheri, Ayoub, van der Heijden, Peter G.M., te Riele, Anneline S.J.M., Baas, Annette F., Oosters, C. A.J., Oberski, Daniel, and Asselbergs, Folkert W.

Published
2021

24. Diagnosis and risk prediction of dilated cardiomyopathy in the era of big data and genomics

Author

Informatisering, Onderzoek Precision medicine, Genetica Klinische Genetica, Circulatory Health, Team Medisch, Arts Assistenten Cardiologie, Sammani, Arjan, Baas, Annette F., Asselbergs, Folkert W., Te Riele, Anneline S.J.M., Informatisering, Onderzoek Precision medicine, Genetica Klinische Genetica, Circulatory Health, Team Medisch, Arts Assistenten Cardiologie, Sammani, Arjan, Baas, Annette F., Asselbergs, Folkert W., and Te Riele, Anneline S.J.M.

Published
2021

25. A novel risk model for predicting potentially life-threatening arrhythmias in non-ischemic dilated cardiomyopathy (DCM-SVA risk)

Author

Verpleegafdeling Cardiologie, Onderzoek Precision medicine, Genetica, Genetica Klinische Genetica, Circulatory Health, Arts Assistenten Cardiologie, Team Medisch, Kayvanpour, Elham, Sammani, Arjan, Sedaghat-Hamedani, Farbod, Lehmann, David H., Broezel, Alicia, Koelemenoglu, Jan, Chmielewski, Przemysław, Curjol, Angelique, Socie, Pierre, Miersch, Tobias, Haas, Jan, Gi, Weng Tein, Richard, Pascale, Płoski, Rafał, Truszkowska, Grażyna, Baas, Annette F., Foss-Nieradko, Bogna, Michalak, Ewa, Stępień-Wojno, Małgorzata, Zakrzewska-Koperska, Joanna, Śpiewak, Mateusz, Zieliński, Tomasz, Villard, Eric, te Riele, Anneline S.J.M., Katus, Hugo A., Frey, Norbert, Bilińska, Zofia T., Charron, Philippe, Asselbergs, Folkert W., Meder, Benjamin, Verpleegafdeling Cardiologie, Onderzoek Precision medicine, Genetica, Genetica Klinische Genetica, Circulatory Health, Arts Assistenten Cardiologie, Team Medisch, Kayvanpour, Elham, Sammani, Arjan, Sedaghat-Hamedani, Farbod, Lehmann, David H., Broezel, Alicia, Koelemenoglu, Jan, Chmielewski, Przemysław, Curjol, Angelique, Socie, Pierre, Miersch, Tobias, Haas, Jan, Gi, Weng Tein, Richard, Pascale, Płoski, Rafał, Truszkowska, Grażyna, Baas, Annette F., Foss-Nieradko, Bogna, Michalak, Ewa, Stępień-Wojno, Małgorzata, Zakrzewska-Koperska, Joanna, Śpiewak, Mateusz, Zieliński, Tomasz, Villard, Eric, te Riele, Anneline S.J.M., Katus, Hugo A., Frey, Norbert, Bilińska, Zofia T., Charron, Philippe, Asselbergs, Folkert W., and Meder, Benjamin

Published
2021

26. Text-mining in electronic healthcare records can be used as efficient tool for screening and data-collection in cardiovascular trials: a multicenter validation study

Author

Global Health, Epi Methoden Team 4, JC onderzoeksprogramma Methodologie, Onderzoek Precision medicine, Cardiovasculaire Epi Team 5, Bioethics & Health Humanities, Circulatory Health, Team Medisch, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Cardiologie, van Dijk, Wouter B, Fiolet, Aernoud T L, Schuit, Ewoud, Sammani, Arjan, Groenhof, T Katrien J, van der Graaf, Rieke, de Vries, Martine C, Alings, Marco, Schaap, Jeroen, Asselbergs, Folkert W, Grobbee, Diederick E, Groenwold, Rolf H H, Mosterd, Arend, Global Health, Epi Methoden Team 4, JC onderzoeksprogramma Methodologie, Onderzoek Precision medicine, Cardiovasculaire Epi Team 5, Bioethics & Health Humanities, Circulatory Health, Team Medisch, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Cardiologie, van Dijk, Wouter B, Fiolet, Aernoud T L, Schuit, Ewoud, Sammani, Arjan, Groenhof, T Katrien J, van der Graaf, Rieke, de Vries, Martine C, Alings, Marco, Schaap, Jeroen, Asselbergs, Folkert W, Grobbee, Diederick E, Groenwold, Rolf H H, and Mosterd, Arend

Published
2021

27. Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters

Author

Bagheri, A., Sammani, Arjan, van der Heijden, P.G.M., Asselbergs, Folkert W, Oberski, D.L., Leerstoel Heijden, Leerstoel Klugkist, and Methodology and statistics for the behavioural and social sciences

Subjects
Multi-label Classification, Automated ICD Coding, Clinical Text Mining, Dutch Discharge Letters
Abstract

The international classification of diseases (ICD) is a widely used tool to describe patient diagnoses. At University Medical Center Utrecht (UMCU), for example, trained medical coders translate information from hospital discharge letters into ICD-10 codes for research and national disease epidemiology statistics, at considerable cost. To mitigate these costs, automatic ICD coding from discharge letters would be useful. However, this task has proven challenging in practice: it is a multi-label task with a large number of very sparse categories, presented in a hierarchical structure. Moreover, existing ICD systems have been benchmarked only on relatively easier versions of this task, such as single-label performance and performance on the higher “chapter” level of the ICD hierarchy, which contains fewer categories. In this study, we benchmark the state-of-the-art ICD classification systems and two baseline systems on a large dataset constructed from Dutch cardiology discharge letters at UMCU hospital. Performance of all systems is evaluated for both the easier chapter-level ICD codes and single-label version of the task found in the literature, as well as for the lower-level ICD hierarchy and multi-label task that is needed in practice. We find that state-of-the-art methods outperform the baseline for the single-label version of the task only. For the multi-label task, the baselines are not defeated by any state-of-the-art system, with the exception of HA-GRU, which does perform best in the most difficult task on accuracy. We conclude that practical performance may have been somewhat overstated in the literature, although deep learning techniques are sufficiently good to complement, though not replace, human ICD coding in our application.

Published
2020

28. ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history

Author

Leerstoel Heijden, Methodology and statistics for the behavioural and social sciences, Leerstoel Klugkist, Bagheri, Ayoub, Sammani, Arjan, van der Heijden, Peter G.M., Asselbergs, Folkert W., Oberski, Daniel L., Leerstoel Heijden, Methodology and statistics for the behavioural and social sciences, Leerstoel Klugkist, Bagheri, Ayoub, Sammani, Arjan, van der Heijden, Peter G.M., Asselbergs, Folkert W., and Oberski, Daniel L.

Published
2020

29. Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters

Author

Leerstoel Heijden, Leerstoel Klugkist, Methodology and statistics for the behavioural and social sciences, Bagheri, A., Sammani, Arjan, van der Heijden, P.G.M., Asselbergs, Folkert W, Oberski, D.L., Leerstoel Heijden, Leerstoel Klugkist, Methodology and statistics for the behavioural and social sciences, Bagheri, A., Sammani, Arjan, van der Heijden, P.G.M., Asselbergs, Folkert W, and Oberski, D.L.

Published
2020

30. Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology

Author

Team Onderzoek, Electrofysiologie, Onderzoek Precision medicine, Team Medisch, Regenerative Medicine and Stem Cells, Circulatory Health, van de Leur, Rutger R, Boonstra, Machteld J, Bagheri, Ayoub, Roudijk, Rob W, Sammani, Arjan, Taha, Karim, Doevendans, Pieter Afm, van der Harst, Pim, van Dam, Peter M, Hassink, Rutger J, van Es, René, university, Folkert W, Team Onderzoek, Electrofysiologie, Onderzoek Precision medicine, Team Medisch, Regenerative Medicine and Stem Cells, Circulatory Health, van de Leur, Rutger R, Boonstra, Machteld J, Bagheri, Ayoub, Roudijk, Rob W, Sammani, Arjan, Taha, Karim, Doevendans, Pieter Afm, van der Harst, Pim, van Dam, Peter M, Hassink, Rutger J, van Es, René, and university, Folkert W

Published
2020

31. Predicting sustained ventricular arrhythmias in dilated cardiomyopathy: a meta-analysis and systematic review

Author

Onderzoek Precision medicine, Team Onderzoek, Arts Assistenten Cardiologie, Team Medisch, Circulatory Health, Sammani, Arjan, Kayvanpour, Elham, Bosman, Laurens P, Sedaghat-Hamedani, Farbod, Proctor, Tanja, Gi, Weng-Tein, Broezel, Alicia, Jensen, Katrin, Katus, Hugo A, Te Riele, Anneline S J M, Meder, Benjamin, Asselbergs, Folkert W, Onderzoek Precision medicine, Team Onderzoek, Arts Assistenten Cardiologie, Team Medisch, Circulatory Health, Sammani, Arjan, Kayvanpour, Elham, Bosman, Laurens P, Sedaghat-Hamedani, Farbod, Proctor, Tanja, Gi, Weng-Tein, Broezel, Alicia, Jensen, Katrin, Katus, Hugo A, Te Riele, Anneline S J M, Meder, Benjamin, and Asselbergs, Folkert W

Published
2020

33. Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology

Author

Leur, Rutger R van de, primary, Boonstra, Machteld J, additional, Bagheri, Ayoub, additional, Roudijk, Rob W, additional, Sammani, Arjan, additional, Taha, Karim, additional, Doevendans, Pieter AFM, additional, Harst, Pim van der, additional, Dam, Peter M van, additional, Hassink, Rutger J, additional, Es, René van, additional, and Asselbergs, Folkert W, additional

Published
2020
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34. Predicting sustained ventricular arrhythmias in dilated cardiomyopathy: a meta‐analysis and systematic review

Author

Sammani, Arjan, primary, Kayvanpour, Elham, additional, Bosman, Laurens P., additional, Sedaghat‐Hamedani, Farbod, additional, Proctor, Tanja, additional, Gi, Weng‐Tein, additional, Broezel, Alicia, additional, Jensen, Katrin, additional, Katus, Hugo A., additional, Riele, Anneline S.J.M., additional, Meder, Benjamin, additional, and Asselbergs, Folkert W., additional

Published
2020
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35. TEXT-MINING IN ELECTRONIC HEALTHCARE RECORDS FOR EFFICIENT RECRUITMENT AND DATA-COLLECTION IN CARDIOVASCULAR TRIALS: A MULTICENTER VALIDATION STUDY

Author

Dijk, Wouter Van, primary, Fiolet, Aernoud, additional, Schuit, Ewoud, additional, Sammani, Arjan, additional, Groenhof, Katrien, additional, van der Graaf, Rieke, additional, de Vries, Martine, additional, Alings, Marco, additional, Schaap, Jeroen, additional, Asselbergs, Folkert, additional, Grobbee, Diederick, additional, Groenwold, Rolf, additional, and Mosterd, Arend, additional

Published
2020
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37. UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking

Author

Sammani, Arjan, Jansen, Mark, Linschoten, M., Bagheri, A., Asselbergs, Folkert W, Leerstoel Heijden, and Methodology and statistics for the behavioural and social sciences

Subjects
biobanking, machine learning, electronic health record, research data platform, Big data analytics, cardiomyopathy
Abstract

Introduction Despite major advances in our understanding of genetic cardiomyopathies, they remain the leading cause of premature sudden cardiac death and end-stage heart failure in persons under the age of 60 years. Integrated research databases based on a large number of patients may provide a scaffold for future research. Using routine electronic health records and standardised biobanking, big data analysis on a larger number of patients and investigations are possible. In this article, we describe the UNRAVEL research data platform embedded in routine practice to facilitate research in genetic cardiomyopathies. Design Eligible participants with proven or suspected cardiac disease and their relatives are asked for permission to use their data and to draw blood for biobanking. Routinely collected clinical data are included in a research database by weekly extraction. A text-mining tool has been developed to enrich UNRAVEL with unstructured data in clinical notes. Preliminary results Thus far, 828 individuals with a median age of 57 years have been included, 58% of whom are male. All data are captured in a temporal sequence amounting to a total of 18,565 electrocardiograms, 3619 echocardiograms, data from over 20,000 radiological examinations and 650,000 individual laboratory measurements. Conclusion Integration of routine electronic health care in a research data platform allows efficient data collection, including all investigations in chronological sequence. Trials embedded in the electronic health record are now possible, providing cost-effective ways to answer clinical questions. We explicitly welcome national and international collaboration and have provided our protocols and other materials on www.unravelrdp.nl.

Published
2019

38. SALTClass: classifying clinical short notes using background knowledge from unlabeled data

Author

Bagheri, A., Oberski, D.L., Sammani, Arjan, van der Heijden, P.G.M., Asselbergs, Folkert W, Bagheri, A., Oberski, D.L., Sammani, Arjan, van der Heijden, P.G.M., and Asselbergs, Folkert W

Abstract

Background With the increasing use of unstructured text in electronic health records, extracting useful related information has become a necessity. Text classification can be applied to extract patients’ medical history from clinical notes. However, the sparsity in clinical short notes, that is, excessively small word counts in the text, can lead to large classification errors. Previous studies demonstrated that natural language processing (NLP) can be useful in the text classification of clinical outcomes. We propose incorporating the knowledge from unlabeled data, as this may alleviate the problem of short noisy sparse text. Results The software package SALTClass (short and long text classifier) is a machine learning NLP toolkit. It uses seven clustering algorithms, namely, latent Dirichlet allocation, K-Means, MiniBatchK-Means, BIRCH, MeanShift, DBScan, and GMM. Smoothing methods are applied to the resulting cluster information to enrich the representation of sparse text. For the subsequent prediction step, SALTClass can be used on either the original document-term matrix or in an enrichment pipeline. To this end, ten different supervised classifiers have also been integrated into SALTClass. We demonstrate the effectiveness of the SALTClass NLP toolkit in the identification of patients’ family history in a Dutch clinical cardiovascular text corpus from University Medical Center Utrecht, the Netherlands. Conclusions The considerable amount of unstructured short text in healthcare applications, particularly in clinical cardiovascular notes, has created an urgent need for tools that can parse specific information from text reports. Using machine learning algorithms for enriching short text can improve the representation for further applications. Availability SALTClass can be downloaded as a Python package from Python Package Index (PyPI) website at https://pypi.org/project/saltclass and from GitHub at https://github.com/bagheria/saltclass.

Published
2019

39. SALTClass: classifying clinical short notes using background knowledge from unlabeled data

Author

Leerstoel Heijden, Leerstoel Klugkist, Methodology and statistics for the behavioural and social sciences, Bagheri, A., Oberski, D.L., Sammani, Arjan, van der Heijden, P.G.M., Asselbergs, Folkert W, Leerstoel Heijden, Leerstoel Klugkist, Methodology and statistics for the behavioural and social sciences, Bagheri, A., Oberski, D.L., Sammani, Arjan, van der Heijden, P.G.M., and Asselbergs, Folkert W

Published
2019

40. UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking

Author

Leerstoel Heijden, Methodology and statistics for the behavioural and social sciences, Sammani, Arjan, Jansen, Mark, Linschoten, M., Bagheri, A., Asselbergs, Folkert W, Leerstoel Heijden, Methodology and statistics for the behavioural and social sciences, Sammani, Arjan, Jansen, Mark, Linschoten, M., Bagheri, A., and Asselbergs, Folkert W

Published
2019

42. Predicting arrhythmic risk in arrhythmogenic right ventricular cardiomyopathy : A systematic review and meta-analysis

Author

Bosman, Laurens P., Sammani, Arjan, James, Cynthia A., Cadrin-Tourigny, Julia, Calkins, Hugh, van Tintelen, J. Peter, Hauer, Richard N.W., Asselbergs, Folkert W., te Riele, Anneline S.J.M., Bosman, Laurens P., Sammani, Arjan, James, Cynthia A., Cadrin-Tourigny, Julia, Calkins, Hugh, van Tintelen, J. Peter, Hauer, Richard N.W., Asselbergs, Folkert W., and te Riele, Anneline S.J.M.

Published
2018

43. Predicting arrhythmic risk in arrhythmogenic right ventricular cardiomyopathy: A systematic review and meta-analysis

Author

Team Onderzoek, Onderzoek Precision medicine, Team Medisch, Circulatory Health, Bosman, Laurens P., Sammani, Arjan, James, Cynthia A., Cadrin-Tourigny, Julia, Calkins, Hugh, van Tintelen, J. Peter, Hauer, Richard N.W., Asselbergs, Folkert W., te Riele, Anneline S.J.M., Team Onderzoek, Onderzoek Precision medicine, Team Medisch, Circulatory Health, Bosman, Laurens P., Sammani, Arjan, James, Cynthia A., Cadrin-Tourigny, Julia, Calkins, Hugh, van Tintelen, J. Peter, Hauer, Richard N.W., Asselbergs, Folkert W., and te Riele, Anneline S.J.M.

Published
2018

44. Dilated cardiomyopathy due to BLC2-associated athanogene 3 (BAG3) mutations

Author

Instituto de Salud Carlos III, Fundación Progreso y Salud, Ministerio de Economía y Competitividad (España), Mutual Médica, European Research Area Network on Cardiovascular Diseases, British Heart Foundation, Wellcome Trust, National Institute for Health Research (UK), Danish Heart Foundation, University of Southern Denmark, Odense University Hospital, Competence Network for Heart Failure (Germany), Dutch Heart Foundation, European Commission, Health In Code, Domínguez, Fernando, Cuenca, Sofía, Bilinska, Zofia, Toro, Rocío, Villard, Eric, Barriales-Villa, Roberto, Ochoa, Juan Pablo, Asselbergs, Folkert, Sammani, Arjan, Franaszczyk, Maria, Akhtar, Muhammad N., Coronado-Albi, Maria José, Rangel-Sousa, Diego, Rodriguez-Palomares, Jose F., Jiménez-Jáimez, Juan, Garcia-Pinilla, José Manuel, Ripoll-Vera, Tomás, Mogollón-Jiménez, Maria Victoria, Fontalba-Romero, Ana, Garcia-Medina, Dolores, Palomino-Doza, Julian, Gonzalo-Calvo, David de, Cicerchia, Marcos, Salazar-Mendiguchia, Joel, Salas, Clara, Pankuweit, Sabine, Morris Hey, Thomas, Mogensen, Jens, Barton, Paul J., Charron, Philippe, Elliott, Perry, García-Pavía, Pablo, Instituto de Salud Carlos III, Fundación Progreso y Salud, Ministerio de Economía y Competitividad (España), Mutual Médica, European Research Area Network on Cardiovascular Diseases, British Heart Foundation, Wellcome Trust, National Institute for Health Research (UK), Danish Heart Foundation, University of Southern Denmark, Odense University Hospital, Competence Network for Heart Failure (Germany), Dutch Heart Foundation, European Commission, Health In Code, Domínguez, Fernando, Cuenca, Sofía, Bilinska, Zofia, Toro, Rocío, Villard, Eric, Barriales-Villa, Roberto, Ochoa, Juan Pablo, Asselbergs, Folkert, Sammani, Arjan, Franaszczyk, Maria, Akhtar, Muhammad N., Coronado-Albi, Maria José, Rangel-Sousa, Diego, Rodriguez-Palomares, Jose F., Jiménez-Jáimez, Juan, Garcia-Pinilla, José Manuel, Ripoll-Vera, Tomás, Mogollón-Jiménez, Maria Victoria, Fontalba-Romero, Ana, Garcia-Medina, Dolores, Palomino-Doza, Julian, Gonzalo-Calvo, David de, Cicerchia, Marcos, Salazar-Mendiguchia, Joel, Salas, Clara, Pankuweit, Sabine, Morris Hey, Thomas, Mogensen, Jens, Barton, Paul J., Charron, Philippe, Elliott, Perry, and García-Pavía, Pablo

Abstract

[Background] The BAG3 (BLC2-associated athanogene 3) gene codes for an antiapoptotic protein located on the sarcomere Z-disc. Mutations in BAG3 are associated with dilated cardiomyopathy (DCM), but only a small number of cases have been reported to date, and the natural history of BAG3 cardiomyopathy is poorly understood. [Objectives] This study sought to describe the phenotype and prognosis of BAG3 mutations in a large multicenter DCM cohort. [Methods] The study cohort comprised 129 individuals with a BAG3 mutation (62% males, 35.1 ± 15.0 years of age) followed at 18 European centers. Localization of BAG3 in cardiac tissue was analyzed in patients with truncating BAG3 mutations using immunohistochemistry. [Results] At first evaluation, 57.4% of patients had DCM. After a median follow-up of 38 months (interquartile range: 7 to 95 months), 68.4% of patients had DCM and 26.1% who were initially phenotype-negative developed DCM. Disease penetrance in individuals >40 years of age was 80% at last evaluation, and there was a trend towards an earlier onset of DCM in men (age 34.6 ± 13.2 years vs. 40.7 ± 12.2 years; p = 0.053). The incidence of adverse cardiac events (death, left ventricular assist device, heart transplantation, and sustained ventricular arrhythmia) was 5.1% per year among individuals with DCM. Male sex, decreased left ventricular ejection fraction. and increased left ventricular end-diastolic diameter were associated with adverse cardiac events. Myocardial tissue from patients with a BAG3 mutation showed myofibril disarray and a relocation of BAG3 protein in the sarcomeric Z-disc. [Conclusions] DCM caused by mutations in BAG3 is characterized by high penetrance in carriers >40 years of age and a high risk of progressive heart failure. Male sex, decreased left ventricular ejection fraction, and enlarged left ventricular end-diastolic diameter are associated with adverse outcomes in patients with BAG3 mutations.

Published
2018

45. Differences between familial and sporadic dilated cardiomyopathy: ESC EORP Cardiomyopathy & Myocarditis registry.

Author

Asselbergs, Folkert W., Sammani, Arjan, Elliott, Perry, Gimeno, Juan R., Tavazzi, Luigi, Tendera, Michael, Kaski, Juan Pablo, Maggioni, Aldo P., Rubis, Pawel P., Jurcut, Ruxandra, Heliö, Tiina, Calò, Leonardo, Sinagra, Gianfranco, Zdravkovic, Marija, Olivotto, Iacopo, Kavoliūnienė, Aušra, Laroche, Cécile, Caforio, Alida L.P., and Charron, Philippe

Subjects
DILATED cardiomyopathy, CARDIOVASCULAR diseases risk factors, PHENOTYPES
Abstract

Aims: Dilated cardiomyopathy (DCM) is a complex disease where genetics interplay with extrinsic factors. This study aims to compare the phenotype, management, and outcome of familial DCM (FDCM) and non‐familial (sporadic) DCM (SDCM) across Europe. Methods and results: Patients with DCM that were enrolled in the prospective ESC EORP Cardiomyopathy & Myocarditis Registry were included. Baseline characteristics, genetic testing, genetic yield, and outcome were analysed comparing FDCM and SDCM; 1260 adult patients were studied (238 FDCM, 707 SDCM, and 315 not disclosed). Patients with FDCM were younger (P < 0.01), had less severe disease phenotype at presentation (P < 0.02), more favourable baseline cardiovascular risk profiles (P ≤ 0.007), and less medication use (P ≤ 0.042). Outcome at 1 year was similar and predicted by NYHA class (HR 0.45; 95% CI [0.25–0.81]) and LVEF per % decrease (HR 1.05; 95% CI [1.02–1.08]. Throughout Europe, patients with FDCM received more genetic testing (47% vs. 8%, P < 0.01) and had higher genetic yield (55% vs. 22%, P < 0.01). Conclusions: We observed that FDCM and SDCM have significant differences at baseline but similar short‐term prognosis. Whether modification of associated cardiovascular risk factors provide opportunities for treatment remains to be investigated. Our results also show a prevalent role of genetics in FDCM and a non‐marginal yield in SDCM although genetic testing is largely neglected in SDCM. Limited genetic testing and heterogeneity in panels provides a scaffold for improvement of guideline adherence. [ABSTRACT FROM AUTHOR]

Published
2021
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46. Dilated Cardiomyopathy Due to BLC2-Associated Athanogene 3 (BAG3) Mutations

Author

Domínguez, Fernando, primary, Cuenca, Sofía, additional, Bilińska, Zofia, additional, Toro, Rocío, additional, Villard, Eric, additional, Barriales-Villa, Roberto, additional, Ochoa, Juan Pablo, additional, Asselbergs, Folkert, additional, Sammani, Arjan, additional, Franaszczyk, Maria, additional, Akhtar, Mohammed, additional, Coronado-Albi, Maria José, additional, Rangel-Sousa, Diego, additional, Rodriguez-Palomares, Jose F., additional, Jiménez-Jáimez, Juan, additional, Garcia-Pinilla, José Manuel, additional, Ripoll-Vera, Tomás, additional, Mogollón-Jiménez, Maria Victoria, additional, Fontalba-Romero, Ana, additional, Garcia-Medina, Dolores, additional, Palomino-Doza, Julian, additional, de Gonzalo-Calvo, David, additional, Cicerchia, Marcos, additional, Salazar-Mendiguchia, Joel, additional, Salas, Clara, additional, Pankuweit, Sabine, additional, Hey, Thomas Morris, additional, Mogensen, Jens, additional, Barton, Paul J., additional, Charron, Philippe, additional, Elliott, Perry, additional, Garcia-Pavia, Pablo, additional, Eiskjær, Hans, additional, Barriales, Roberto, additional, Fernández Fernández, Xusto, additional, Monserrat, Lorenzo, additional, Mogollón, Maria Victoria, additional, Ripoll, Tomás, additional, Richard, Pascale, additional, Palomino Doza, Julian, additional, Fontalba, Ana, additional, Alonso-Pulpón, Luis, additional, Cobo-Marcos, Marta, additional, Domínguez, Fernando, additional, Gómez-Bueno, Manuel, additional, González-López, Esther, additional, Hernández-Hernández, Aitor, additional, Hernández-Pérez, Francisco José, additional, López-Sainz, Ángela, additional, Restrepo-Córdoba, Alejandra, additional, Segovia-Cubero, Javier, additional, Toro, Rocio, additional, Rosa Longobardo, Félix, additional, Limeres, Javier, additional, Garcia-Pinilla, Jose Manuel, additional, López-Garrido, Miguel A., additional, Jiménez-Jaimez, Juan, additional, Rangel Sousa, Diego, additional, Peña, Maria Luisa, additional, Morris-Hey, Thomas, additional, Cook, Stuart A., additional, Midwinter, William, additional, Roberts, Angharad M., additional, Ware, James S., additional, Walsh, Roddy, additional, Elliott, Perry M., additional, Rocha-Lopes, Luis, additional, Savvatis, Konstantinos, additional, Syrris, Petros, additional, Michalak, Ewa, additional, Ploski, Rafal, additional, Sobieszczanska-Malek, Malgorzata, additional, Baas, Annette, additional, and Dooijes, Dennis, additional

Published
2018
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49. Thirty years of heart transplantation at the university medical centre Utrecht

Author

Onderzoek Precision medicine, Team Medisch, Circulatory Health, CTC, Cardiologie, Sammani, Arjan, Wind, A. M., Kirkels, J. H., Klöpping, C, Buijsrogge, M. P., Ramjakhan, F Z, Asselbergs, F. W., de Jonge, N, Onderzoek Precision medicine, Team Medisch, Circulatory Health, CTC, Cardiologie, Sammani, Arjan, Wind, A. M., Kirkels, J. H., Klöpping, C, Buijsrogge, M. P., Ramjakhan, F Z, Asselbergs, F. W., and de Jonge, N

Published
2017

50. A systematic analysis of genetic dilated cardiomyopathy reveals numerous ubiquitously expressed and muscle-specific genes

Author

Circulatory Health, Onderzoek Precision medicine, Genetica Klinische Genetica, Team Medisch, Regenerative Medicine and Stem Cells, Genetica Sectie Genoomdiagnostiek, Child Health, Harakalová, Magdaléna, Kummeling, Gijs, Sammani, Arjan, Linschoten, Marijke, Baas, Annette F., van der Smagt, Jasper, Doevendans, Pieter A., van Tintelen, Peter J., Dooijes, Dennis, Mokry, Michal, Asselbergs, Folkert, Circulatory Health, Onderzoek Precision medicine, Genetica Klinische Genetica, Team Medisch, Regenerative Medicine and Stem Cells, Genetica Sectie Genoomdiagnostiek, Child Health, Harakalová, Magdaléna, Kummeling, Gijs, Sammani, Arjan, Linschoten, Marijke, Baas, Annette F., van der Smagt, Jasper, Doevendans, Pieter A., van Tintelen, Peter J., Dooijes, Dennis, Mokry, Michal, and Asselbergs, Folkert

Published
2015

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