Tammo Delhaas


Tammo Delhaas is Pediatric Cardiologist and Professor of Biomedical Engineering. He obtained his MD at the University of Groningen and received his PhD degree from Maastricht University in 1993 for a thesis on cardiac mechanics. After his training in Pediatrics in Maastricht and Utrecht, he received a Fulbright grant/ICIN-Fellowship and spent one year at the Departments of Bioengineering and Medicine from the UCSD. Thereafter, he trained in Pediatric Cardiology in Aachen and Melbourne. In 2000, he returned to Maastricht as Pediatric Cardiologist and continued his research on the crossroads of (Pediatric) Cardiology, Physiology and Biomedical Engineering. In 2009, he was appointed Professor and Chair of Biomedical Engineering at Maastricht University, where he is involved in projects related to cellular and cardiac mechanics, cardiac pacing, and mathematical modeling of the heart and circulation.

Prof. Tammo Delhaas is heading the CardioVascular System Dynamics Research Group (CVSDRG). With clinical questions regarding (congenital) heart diseases in mind, his research focusses on asynchronous electrical activation, vascular and myocardial structure-function relation, and computer model-assisted diagnosis and treatment of cardiac failure, pulmonary hypertension and congenital heart diseases. Besides standard expertise, CVSDRG uses following techniques/models in which it has expertise of extraordinary quality according to international standards: 1) CircAdapt, a lumped parameter mathematical model of the human heart and circulation that enables real-time simulation of cardiovascular system dynamics in a wide variety of physiological and pathophysiological situations (www.circadapt.org); 2) Finite Element Model of the heart with left and right ventricle, simulating local stress and strain as a function of time with emphasis on adaptation of wall anatomy to local mechanical load; 3) Pulse Wave Propagation and Computational Fluid Dynamics models that predict pressure and flow waveforms after vascular interventions, such as Arterio-Venous Fistula creation for hemodialysis. Prof. Tammo Delhaas serves as a reviewer or member of the editorial board of many journals, and has received grants from, amongst others, the Dutch Heart Foundation, Maastricht UMC+, Province of Limburg, NWO, European Research Council, and the Interuniversity Cardiology Institute of the Netherlands (ICIN).

Department of Biomedical Engineering
Universiteitssingel 50, 6229 ER Maastricht
PO Box 616, 6200 MD Maastricht
Room number: 3.366
T:+31(0)43 388 16 67

  • 2020
    • Corral-Acero, J., Margara, F., Marciniak, M., Rodero, C., Loncaric, F., Feng, Y., Gilbert, A., Fernandes, J. F., Bukhari, H. A., Wajdan, A., Martinez, M. V., Santos, M. S., Shamohammdi, M., Luo, H., Westphal, P., Leeson, P., DiAchille, P., Gurev, V., Mayr, M., ... Lamata, P. (2020). The 'Digital Twin' to enable the vision of precision cardiology. European Heart Journal, 41(48), 4556-4564. https://doi.org/10.1093/eurheartj/ehaa159
    • Zeemering, S., van Hunnik, A., van Rosmalen, F., Bonizzi, P., Scaf, B., Delhaas, T., Verheule, S., & Schotten, U. (2020). A Novel Tool for the Identification and Characterization of Repetitive Patterns in High-Density Contact Mapping of Atrial Fibrillation. Frontiers in physiology, 11, [570118]. https://doi.org/10.3389/fphys.2020.570118
    • Bennis, F. C., Teeuwen, B., Zeiler, F. A., Elting, J. W., van der Naalt, J., Bonizzi, P., Delhaas, T., & Aries, M. J. (2020). Improving Prediction of Favourable Outcome After 6 Months in Patients with Severe Traumatic Brain Injury Using Physiological Cerebral Parameters in a Multivariable Logistic Regression Model. Neurocritical Care, 33(2), 542-551. https://doi.org/10.1007/s12028-020-00930-6
    • Sawo, P., Moufarrej, A., Sloff, M., Snoeijs, M. G., Delhaas, T., Tordoir, J. H. M., & Mees, B. M. E. (2020). The Effect of Geometric Graft Modification on Arteriovenous Graft Patency in Haemodialysis Patients: A Systematic Review and Meta-Analysis. European Journal of Vascular and Endovascular Surgery, 60(4), 568-577. https://doi.org/10.1016/j.ejvs.2020.06.023
    • Lyon, A., Dupuis, L. J., Arts, T., Crijns, H. J. G. M., Prinzen, F. W., Delhaas, T., Heijman, J., & Lumens, J. (2020). Differentiating the effects of beta-adrenergic stimulation and stretch on calcium and force dynamics using a novel electromechanical cardiomyocyte model. American Journal of Physiology-heart and Circulatory Physiology, 319(3), H519-H530. https://doi.org/10.1152/ajpheart.00275.2020
    • Shenthar, J., Singh, B., Banavalikar, B., Chakali, S. S., Delhaas, T., Shivkumar, K., & Bradfield, J. S. (2020). Cardiac perforation complicating cardiac electrophysiology procedures: value of angiography and use of a closure device to avoid cardiac surgery. Journal of Interventional Cardiac Electrophysiology, 58(2), 193-201. https://doi.org/10.1007/s10840-019-00577-0
    • Zonnebeld, N., Tordoir, J. H. M., van Loon, M. M., de Smet, A. A. E. A., Huisman, L. C., Cuypers, P. W. M., Schlosser, F. J., Lemson, S., Heinen, S. G. H., Bouwman, L. H., Toorop, R. J., Huberts, W., Delhaas, T., & Shunt Simulation Study Group (2020). Pre-operative Patient Specific Flow Predictions to Improve Haemodialysis Arteriovenous Fistula Maturation (Shunt Simulation Study): A Randomised Controlled Trial. European Journal of Vascular and Endovascular Surgery, 60(1), 98-106. https://doi.org/10.1016/j.ejvs.2020.03.005
    • Bol, M. E., Beurskens, D. M. H., Delnoij, T. S. R., Roekaerts, P. M. H. J., Reutelingsperger, C. P. M., Delhaas, T., van de Poll, M. C. G., Sels, J-W. E. M., & Nicolaes, G. A. F. (2020). Variability of Microcirculatory Measurements in Critically Ill Patients. Shock, 54(1), 9-14. https://doi.org/10.1097/SHK.0000000000001470
    • Lei, C. L., Ghosh, S., Whittaker, D. G., Aboelkassem, Y., Beattie, K. A., Cantwell, C. D., Delhaas, T., Houston, C., Novaes, G. M., Panfilov, A. V., Pathmanathan, P., Riabiz, M., dos Santos, R. W., Walmsley, J., Worden, K., Mirams, G. R., & Wilkinson, R. D. (2020). Considering discrepancy when calibrating a mechanistic electrophysiology model. Philosophical Transactions of the Royal Society A: mathematical Physical and Engineering Sciences, 378(2173), [20190349]. https://doi.org/10.1098/rsta.2019.0349
    • van Osta, N., Lyon, A., Kirkels, F., Koopsen, T., van Loon, T., Cramer, M. J., Teske, A. J., Delhaas, T., Huberts, W., & Lumens, J. (2020). Parameter subset reduction for patient-specific modelling of arrhythmogenic cardiomyopathy-related mutation carriers in the CircAdapt model. Philosophical Transactions of the Royal Society A: mathematical Physical and Engineering Sciences, 378(2173), [20190347]. https://doi.org/10.1098/rsta.2019.0347
    • Beurskens, D. M. H., Bol, M. E., Delhaas, T., van de Poll, M. C. G., Reutelingsperger, C. P. M., Nicolaes, G. A. F., & Sels, J-W. E. M. (2020). Decreased endothelial glycocalyx thickness is an early predictor of mortality in sepsis. Anaesthesia and Intensive Care, 48(3), 221-228. https://doi.org/10.1177/0310057X20916471
    • Hermans, B. J. M., Bennis, F. C., Vink, A. S., Koopsen, T., Lyon, A., Wilde, A. A. M., Nuyens, D., Robyns, T., Pison, L., Postema, P. G., & Delhaas, T. (2020). Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization. Heart Rhythm, 17(5), 752-758. https://doi.org/10.1016/j.hrthm.2019.12.020
    • Lempersz, C., van Laar, J. O., Clur, S-A. B., Verdurmen, K. M., Warmerdam, G. J., van der Post, J., Blom, N. A., Delhaas, T., Oei, S. G., & Vullings, R. (2020). The standardized 12-lead fetal electrocardiogram of the healthy fetus in mid-pregnancy: A cross-sectional study. PLOS ONE, 15(4), [0232606]. https://doi.org/10.1371/journal.pone.0232606
    • Quicken, S., de Bruin, Y., Mees, B., Tordoir, J., Delhaas, T., & Huberts, W. (2020). Computational study on the haemodynamic and mechanical performance of electrospun polyurethane dialysis grafts. Biomechanics and modeling in mechanobiology, 19(2), 713-722. https://doi.org/10.1007/s10237-019-01242-1
    • Stevens, R. R. F., Donders, W. P., Quicken, S., van de Vosse, F. N., Mess, W. H., Delhaas, T., & Huberts, W. (2020). The Role of One-Dimensional Model-Generated Inter-Subject Variations in Systemic Properties on Wall Shear Stress Indices of Intracranial Aneurysms. Ieee Transactions on Biomedical Engineering, 67(4), 1030-1039. https://doi.org/10.1109/TBME.2019.2928416
    • Walavalkar, V., Maiya, S., Pujar, S., Ramachandra, P., Siddaiah, S., Spronck, B., Vanagt, W. Y., & Delhaas, T. (2020). Percutaneous Device Closure of Congenital Isolated Ventricular Septal Defects: A Single-Center Retrospective Database Study Amongst 412 Cases. Pediatric Cardiology, 41(3), 591-598. https://doi.org/10.1007/s00246-020-02315-0
    • Quicken, S., Huberts, W., Tordoir, J., van Loon, M., Delhaas, T., & Mees, B. (2020). Computational Modelling Based Recommendation on Optimal Dialysis Needle Positioning and Dialysis Flow in Patients With Arteriovenous Grafts. European Journal of Vascular and Endovascular Surgery, 59(2), 288-294. https://doi.org/10.1016/j.ejvs.2019.08.013
    • Zonnebeld, N., Huberts, W., van Loon, M. M., Delhaas, T., & Tordoir, J. H. M. (2020). Natural Vascular Remodelling After Arteriovenous Fistula Creation in Dialysis Patients With and Without Previous Ipsilateral Vascular Access. European Journal of Vascular and Endovascular Surgery, 59(2), 277-287. https://doi.org/10.1016/j.ejvs.2019.10.010
    • Heinen, S., Gashi, K., van den Heuvel, D., de Vries, J-P., van de Vosse, F., Delhaas, T., & Huberts, W. (2020). A Metamodeling Approach for Instant Severity Assessment and Uncertainty Quantification of Iliac Artery Stenoses. Journal of Biomechanical Engineering-Transactions of the Asme, 142(1), [011010]. https://doi.org/10.1115/1.4044502
  • 2019
    • Hulsenboom, A. D. J., Warmerdam, G. J. J., Weijers, J., Blijham, P. J., Oei, S. G., van Laar, J. O. E. H., Vullings, R., & Delhaas, T. (2019). Head orientation and electrode placement potentially influence fetal scalp ECG waveform. PLOS ONE, 14(10), [e0223282]. https://doi.org/10.1371/journal.pone.0223282
    • Polavarapu, K., Preethish-Kumar, V., Sekar, D., Vengalil, S., Nashi, S., Mahajan, N. P., Thomas, P. T., Sadasivan, A., Warrier, M., Gupta, A., Arunachal, G., Debnath, M., Keerthipriya, M. S., Pradeep-Chandra-Reddy, C., Puttegowda, A., John, A. P., Tavvala, A., Gunasekaran, S., Sathyaprabha, T. N., ... Nalini, A. (2019). Mutation pattern in 606 Duchenne muscular dystrophy children with a comparison between familial and non-familial forms: a study in an Indian large single-center cohort. Journal of Neurology, 266(9), 2177-2185. https://doi.org/10.1007/s00415-019-09380-3
    • Delhaas, T., Andriessen, P., van Laar, J. O. E. H., Vullings, R., Hermans, B. J. M., Niemarkt, H. J., Jellema, R. K., Ophelders, D. R. M. G., Wolfs, T. G. A. M., Kramer, B. W., & Zwanenburg, A. (2019). Why-aVF can be used in STAN as a proxy for scalp electrode-derived signal; reply to comments by Kjellmer et al.PLOS ONE, 14(8), [0221220]. https://doi.org/10.1371/journal.pone.0221220
    • Heusinkveld, M. H. G., Delhaas, ET., Lumens, J., Huberts, W., Spronck, B., Hughes, A. D., & Reesink, K. D. (2019). Augmentation index is not a proxy for wave reflection magnitude: mechanistic analysis using a computational model. Journal of Applied Physiology, 127(2), 491-500. https://doi.org/10.1152/japplphysiol.00769.2018
    • Heinen, S. G. H., van den Heuvel, D. A. F., de Vries, J. P. P. M., van de Vosse, F. N., Delhaas, T., & Huberts, W. (2019). A geometry-based model for non-invasive estimation of pressure gradients over iliac artery stenoses. Journal of Biomechanics, 92, 67-75. https://doi.org/10.1016/j.jbiomech.2019.05.030
    • Heusinkveld, M. H. G., Huberts, W., Lumens, J., Arts, T., Delhaas, T., & Reesink, K. D. (2019). Large vessels as a tree of transmission lines incorporated in the CircAdapt whole-heart model: A computational tool to examine heart-vessel interaction. PLoS Computational Biology, 15(7), [1007173]. https://doi.org/10.1371/journal.pcbi.1007173
    • Bennis, F. C., van Pul, C., van den Bogaart, J. J. L., Andriessen, P., Kramer, B. W., & Delhaas, T. (2019). Artifacts in pulse transit time measurements using standard patient monitoring equipment. PLOS ONE, 14(6), [0218784]. https://doi.org/10.1371/journal.pone.0218784
    • Hahn, R. T., Waxman, A. B., Denti, P., & Delhaas, T. (2019). Anatomic Relationship of the Complex Tricuspid Valve, Right Ventricle, and Pulmonary Vasculature A Review. JAMA Cardiology, 4(5), 478-487. https://doi.org/10.1001/jamacardio.2019.0535
    • Janousek, J., Kovanda, J., Lozek, M., Tomek, V., Gebauer, R., Kubus, P., & Delhaas, T. (2019). Cardiac Resynchronization Therapy for Treatment of Chronic Subpulmonary Right Ventricular Dysfunction in Congenital Heart Disease. Circulation-Arrhythmia and Electrophysiology, 12(5), [007157]. https://doi.org/10.1161/CIRCEP.119.007157
    • Heinen, S. G. H., Huberts, W., van den Heuvel, D. A. F., van de Vosse, F. N., de Vries, J-P. P. M., & Delhaas, T. (2019). A comparative study of geometry-based methods and intra-arterial pressure measurements to assess the hemodynamic significance of equivocal iliac artery stenoses. Vascular, 27(2), 119-127. https://doi.org/10.1177/1708538118805659
    • Bol, M. E., Suverein, M. M., Lorusso, R., Delnoij, T. S. R., Bruinsma, G. J. B. B., Otterspoor, L., Kuijpers, M., Lam, K. Y., Vlaar, A. P. J., Kraemer, C. V. E., van der Heijden, J. J., Scholten, E., Driessen, A. H. G., Cabezas, J. M. M., Rittersma, S. Z. H., Heijnen, B. G., Taccone, F. S., Essers, B., Delhaas, T., ... van de Poll, M. C. G. (2019). Early initiation of extracorporeal life support in refractory out-of-hospital cardiac arrest: Design and rationale of the INCEPTION trial. American Heart Journal, 210, 58-68. https://doi.org/10.1016/j.ahj.2018.12.008
    • Hahn, R. T., Delhaas, T., Denti, P., & Waxman, A. B. (2019). The Tricuspid Valve Relationship With the Right Ventricle and Pulmonary Vasculature. JACC-Cardiovascular Imaging, 12(3), 564-565. https://doi.org/10.1016/j.jcmg.2018.11.016
    • Willemen, E., Schreurs, R., Huntjens, P. R., Strik, M., Plank, G., Vigmond, E., Walmsley, J., Vernooy, K., Delhaas, T., Prinzen, F. W., & Lumens, J. (2019). The Left and Right Ventricles Respond Differently to Variation of Pacing Delays in Cardiac Resynchronization Therapy: A Combined Experimental- Computational Approach. Frontiers in physiology, 10, 1-13. [17]. https://doi.org/10.3389/fphys.2019.00017
    • van der Waaij, K. M., Heusinkveld, M. H. G., Delhaas, T., Kroon, A. A., & Reesink, K. D. (2019). Do treatment-induced changes in arterial stiffness affect left ventricular structure? A meta-analysis. Journal of Hypertension, 37(2), 253-263. https://doi.org/10.1097/HJH.0000000000001918
    • Lumens, J., Fan, C-P. S., Walmsley, J., Yim, D., Manlhiot, C., Dragulescu, A., Grosse-Wortmann, L., Mertens, L., Prinzen, F. W., Delhaas, T., & Friedberg, M. K. (2019). Relative Impact of Right Ventricular Electromechanical Dyssynchrony Versus Pulmonary Regurgitation on Right Ventricular Dysfunction and Exercise Intolerance in Patients After Repair of Tetralogy of Fallot. Journal of the American Heart Association, 8(2), [010903]. https://doi.org/10.1161/JAHA.118.010903
  • 2018
    • Dupuis, L. J., Arts, T., Prinzen, F. W., Delhaas, T., & Lumens, J. (2018). Linking cross-bridge cycling kinetics to response to cardiac resynchronization therapy: a multiscale modelling study. EP Europace, 20, 87-93. https://doi.org/10.1093/europace/euy230
    • Hermans, B. J. M., Stoks, J., Bennis, F. C., Vink, A. S., Garde, A., Wilde, A. A. M., Pison, L., Postema, P. G., & Delhaas, T. (2018). Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis. EP Europace, 20, 113-119. https://doi.org/10.1093/europace/euy243
    • Dupuis, L. J., Lumens, J., Arts, T., & Delhaas, T. (2018). High tension in sarcomeres hinders myocardial relaxation: A computational study. PLOS ONE, 13(10), [e0204642]. https://doi.org/10.1371/journal.pone.0204642
    • Delhaas, T., Koeken, Y., Latus, H., Apitz, C., & Schranz, D. (2018). Potts Shunt to Be Preferred Above Atrial Septostomy in Pediatric Pulmonary Arterial Hypertension Patients: A Modeling Study. Frontiers in physiology, 9, [1252]. https://doi.org/10.3389/fphys.2018.01252
    • Sathyaprabha, T. N., Koot, L. A. M., Hermans, B. H. M., Adoor, M., Sinha, S., Kramer, B. W., Raju, T. R., Satishchandra, P., & Delhaas, T. (2018). Effects of Chronic Carbamazepine Treatment on the ECG in Patients with Focal Seizures. Clinical Drug Investigation, 38(9), 845-851. https://doi.org/10.1007/s40261-018-0677-6
    • Geerdink, L. M., Delhaas, T., Helbing, W. A., Sarvaas, G. J. D. M., ter Heide, H., Rozendaal, L., de Korte, C. L., Peer, P. G. M., Kuipers, I. M., & Kapusta, L. (2018). Paediatric Ebstein's anomaly: how clinical presentation predicts mortality. Archives of Disease in Childhood, 103(9), 859-863. https://doi.org/10.1136/archdischild-2017-313482
    • van den Boom, T., Stevens, R., Delhaas, T., van de Vosse, F., & Huberts, W. (2018). Zero-dimensional lumped approach to incorporate the dynamic part of the pressure at vessel junctions in a 1D wave propagation model. International Journal for Numerical Methods in Biomedical Engineering, 34(9), [e3116]. https://doi.org/10.1002/cnm.3116
    • Filippini, L. H. P. M., Postema, P. G., Zoubin, K., Hermans, B. J. M., Blom, N. A., Delhaas, T., & Wilde, A. A. M. (2018). The brisk-standing-test for long QT syndrome in prepubertal school children: defining normal. EP Europace, 20, F108-F112. https://doi.org/10.1093/europace/eux259
    • Andriessen, P., Zwanenburg, A., van Laar, J. O. E. H., Vullings, R., Hermans, B. J. M., Niemarkt, H. J., Jellema, R. K., Ophelders, D. R. M. G., Wolfs, T. G. A. M., Kramer, B. W., & Delhaas, T. (2018). ST waveform analysis for monitoring hypoxic distress in fetal sheep after prolonged umbilical cord occlusion. PLOS ONE, 13(4), [e0195978]. https://doi.org/10.1371/journal.pone.0195978
    • Huntjens, P. R., Ploux, S., Strik, M., Walmsley, J., Ritter, P., Haissaguerre, M., Prinzen, F. W., Delhaas, T., Lumens, J., & Bordachar, P. (2018). Electrical Substrates Driving Response to Cardiac Resynchronization Therapy: A Combined Clinical–Computational Evaluation. Circulation-Arrhythmia and Electrophysiology, 11(4), [e005647]. https://doi.org/10.1161/CIRCEP.117.005647
    • Spronck, B., Avolio, A. P., Tan, I., Butlin, M., Reesink, K. D., & Delhaas, T. (2018). Reply: Medical science is based on facts and evidence. Journal of Hypertension, 36(4), 960-962. https://doi.org/10.1097/HJH.0000000000001660
    • Weijs, B., Limantoro, I., Delhaas, T., de Vos, C. B., Blaauw, Y., Houben, R. P. M., Verheule, S., Pisters, R., & Crijns, H. J. G. M. (2018). Cardioversion of persistent atrial fibrillation is associated with a 24-hour relapse gap: Observations from prolonged postcardioversion rhythm monitoring. Clinical Cardiology, 41(3), 366-371. https://doi.org/10.1002/clc.22877
    • Bennis, F. C., Aries, M. J. H., & Delhaas, T. (2018). Letter by Bennis et al Regarding Article, "Cerebral Near-Infrared Spectroscopy: A Potential Approach for Thrombectomy Monitoring". Stroke, 49(3), E135-E135. https://doi.org/10.1161/STROKEAHA.117.020293
    • Heinen, S. G., de Boer, S. W., van den Heuvel, D. A., Huberts, W., Dekker, P., van de Vosse, F. N., Delhaas, T., & de Vries, J-P. (2018). Hemodynamic significance assessment of equivocal iliac artery stenoses by comparing duplex ultrasonography with intra-arterial pressure measurements. Journal of Cardiovascular Surgery, 59(1), 37-44. https://doi.org/10.23736/S0021-9509.17.10186-2
    • Heusinkveld, M. H. G., Quicken, S., Holtackers, R. J., Huberts, W., Reesink, K. D., Delhaas, T., & Spronck, B. (2018). Uncertainty quantification and sensitivity analysis of an arterial wall mechanics model for evaluation of vascular drug therapies. Biomechanics and modeling in mechanobiology, 17(1), 55-69. https://doi.org/10.1007/s10237-017-0944-0