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1. The Netherlands Heart Tissue Bank: Strengthening the cardiovascular research infrastructure with an open access Cardiac Tissue Repository

Author

Henkens, M. T. H. M., van Ast, J. F., te Riele, A. S. J. M., Houweling, A. C., Amin, A. S., Nijveldt, R., Antoni, M. L., Li, X., Wehrens, S. M. T., von der Thüsen, J. H., Damman, K., ter Horst, E. N., Manintveld, O. C., Abma-Schouten, R. Y., Niessen, H. W. M., Silljé, H. H. W., Jukema, J. W., and Doevendans, P. A.

Published
2023
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2. The Netherlands Heart Tissue Bank:Strengthening the cardiovascular research infrastructure with an open access Cardiac Tissue Repository

Author

Henkens, M. T.H.M., van Ast, J. F., te Riele, A. S.J.M., Houweling, A. C., Amin, A. S., Nijveldt, R., Antoni, M. L., Li, X., Wehrens, S. M.T., von der Thüsen, J. H., Damman, K., ter Horst, E. N., Manintveld, O. C., Abma-Schouten, R. Y., Niessen, H. W.M., Silljé, H. H.W., Jukema, J. W., Doevendans, P. A., Henkens, M. T.H.M., van Ast, J. F., te Riele, A. S.J.M., Houweling, A. C., Amin, A. S., Nijveldt, R., Antoni, M. L., Li, X., Wehrens, S. M.T., von der Thüsen, J. H., Damman, K., ter Horst, E. N., Manintveld, O. C., Abma-Schouten, R. Y., Niessen, H. W.M., Silljé, H. H.W., Jukema, J. W., and Doevendans, P. A.

Abstract

Aim: Cardiac diseases remain a leading cause of cardiovascular disease (CVD) related hospitalisation and mortality. That is why research to improve our understanding of pathophysiological processes underlying cardiac diseases is of great importance. There is a strong need for healthy and diseased human cardiac tissue and related clinical data to accomplish this, since currently used animal and in vitro disease models do not fully grasp the pathophysiological processes observed in humans. This design paper describes the initiative of the Netherlands Heart Tissue Bank (NHTB) that aims to boost CVD-related research by providing an open-access biobank. Methods: The NHTB, founded in June 2020, is a non-profit biobank that collects and stores biomaterial (including but not limited to myocardial tissue and blood samples) and clinical data of individuals with and without previously known cardiac diseases. All individuals aged ≥ 18 years living in the Netherlands are eligible for inclusion as a potential future donor. The stored samples and clinical data will be available upon request for cardiovascular researchers. Conclusion: To improve the availability of cardiac tissue for cardiovascular research, the NHTB will include extensive (cardiac) biosamples, medical images, and clinical data of donors with and without a previously known cardiac disease. As such, the NHTB will function as a translational bridge to boost a wide range of cardiac disease-related fundamental and translational studies.

Published
2023

3. The Netherlands Heart Tissue Bank: Strengthening the cardiovascular research infrastructure with an open access Cardiac Tissue Repository

Author

Henkens, M T H M, van Ast, J F, Te Riele, A S J M, Houweling, A C, Amin, A S, Nijveldt, R, Antoni, M L, Li, X, Wehrens, S M T, von der Thüsen, J H, Damman, K, Ter Horst, E N, Manintveld, O C, Abma-Schouten, R Y, Niessen, H W M, Silljé, H H W, Jukema, J W, Doevendans, P A, Henkens, M T H M, van Ast, J F, Te Riele, A S J M, Houweling, A C, Amin, A S, Nijveldt, R, Antoni, M L, Li, X, Wehrens, S M T, von der Thüsen, J H, Damman, K, Ter Horst, E N, Manintveld, O C, Abma-Schouten, R Y, Niessen, H W M, Silljé, H H W, Jukema, J W, and Doevendans, P A

Abstract

AIM: Cardiac diseases remain a leading cause of cardiovascular disease (CVD) related hospitalisation and mortality. That is why research to improve our understanding of pathophysiological processes underlying cardiac diseases is of great importance. There is a strong need for healthy and diseased human cardiac tissue and related clinical data to accomplish this, since currently used animal and in vitro disease models do not fully grasp the pathophysiological processes observed in humans. This design paper describes the initiative of the Netherlands Heart Tissue Bank (NHTB) that aims to boost CVD-related research by providing an open-access biobank.METHODS: The NHTB, founded in June 2020, is a non-profit biobank that collects and stores biomaterial (including but not limited to myocardial tissue and blood samples) and clinical data of individuals with and without previously known cardiac diseases. All individuals aged ≥ 18 years living in the Netherlands are eligible for inclusion as a potential future donor. The stored samples and clinical data will be available upon request for cardiovascular researchers.CONCLUSION: To improve the availability of cardiac tissue for cardiovascular research, the NHTB will include extensive (cardiac) biosamples, medical images, and clinical data of donors with and without a previously known cardiac disease. As such, the NHTB will function as a translational bridge to boost a wide range of cardiac disease-related fundamental and translational studies.

Published
2023

4. The Netherlands Heart Tissue Bank: Strengthening the cardiovascular research infrastructure with an open access Cardiac Tissue Repository

Author

Circulatory Health, Onderzoek Precision medicine, Cardiologie zorg, Team Medisch, Regenerative Medicine and Stem Cells, Henkens, M.T.H.M., van Ast, J. F., te Riele, A.S.J.M., Houweling, A. C., Amin, A. S., Nijveldt, R., Antoni, M. L., Li, X., Wehrens, S. M.T., von der Thüsen, J. H., Damman, K., ter Horst, E. N., Manintveld, O. C., Abma-Schouten, R. Y., Niessen, H. W.M., Silljé, H. H.W., Jukema, J. W., Doevendans, P. A., Circulatory Health, Onderzoek Precision medicine, Cardiologie zorg, Team Medisch, Regenerative Medicine and Stem Cells, Henkens, M.T.H.M., van Ast, J. F., te Riele, A.S.J.M., Houweling, A. C., Amin, A. S., Nijveldt, R., Antoni, M. L., Li, X., Wehrens, S. M.T., von der Thüsen, J. H., Damman, K., ter Horst, E. N., Manintveld, O. C., Abma-Schouten, R. Y., Niessen, H. W.M., Silljé, H. H.W., Jukema, J. W., and Doevendans, P. A.

Published
2023

5. Age is the main determinant of COVID-19 related in-hospital mortality with minimal impact of pre-existing comorbidities, a retrospective cohort study

Author

Henkens, M. T. H. M., Raafs, A. G., Verdonschot, J. A. J., Linschoten, M., van Smeden, M., Wang, P., van der Hooft, B. H. M., Tieleman, R., Janssen, M. L. F., ter Bekke, R. M. A., Hazebroek, M. R., van der Horst, I. C. C., Asselbergs, F. W., Magdelijns, F. J. H., Heymans, S. R. B., Al-Ali, A. K., Al-Muhanna, F. A., Al-Windy, N. Y. Y., Almubarak, Y. A., Alnafie, A. N., Alshahrani, M., Alshehri, A. M., Anthonio, R. L., Aujayeb, A., ten Berg, J. M., van Boxem, A. J. M., Captur, G., Caputo, M., Charlotte, N., Dark, P., de Sutter, J., Delsing, C. E., Dorman, H. G. R., Drost, J. T., Emans, M. E., Ferreira, J. B., Gabriel, L., van Gilst, W. H., Groenemeijer, B. E., Haerkens-Arends, H. E., van der Harst, P., Hedayat, B., van der Heijden, D. J., Hellou, E., Hermanides, R. S., Hermans-van Ast, J. F., van Hessen, M. W. J., van Ierssel, S. H., Jewbali, L. S., Kearney, M. T., van Kesteren, H. A. M., Kietselaer, B. L. J. H., Koning, A. M. H., Kopylov, P. Y., Kuijper, A. F. M., Kwakkel-van Erp, J. M., van der Linden, M. M. J. M., Linssen, G. C. M., Macias Ruiz, R., Martens, F. M. A. C., McCann, G. P., van der Meer, P., Meijs, M. F. L., Messiaen, P., Monraats, P. S., Montagna, L., Moriarty, A., Mosterd, A., Nierop, P. R., van Ofwegen-Hanekamp, C. E. E., Pinto, Y. M., Poorhosseini, H., Prasad, S., Redón, J., Reidinga, A. C., Ribeiro, M. I. A., Ripley, D. P., Salah, R., Saneei, E., Saxena, M., Schaap, J., Schellings, D. A. A. M., Schut, A., Shafiee, A., Shore, A. C., Siebelink, H. J., Smits, P. C., Pisters, R., Tessitore, E., Tieleman, R. G., Timmermans, P., Tio, R. A., Tjong, F. V. Y., den Uil, C. A., van Craenenbroeck, E. M., van Veen, H. P. A. A., Veneman, T., Verschure, D. O., de Vries, J. K., van de Wal, R. M. A., van de Watering, D. J., Westendorp, I. C. D., Westendorp, P. H. M., Weytjens, C., Wierda, E., Williams, B., Woudstra, P., Wu, K. W., Zaal, R., Zaman, A. G., van der Zee, P. M., Cardiology, ACS - Heart failure & arrhythmias, CAPACITY-COVID collaborative consortium, Cardiologie, RS: Carim - H02 Cardiomyopathy, MUMC+: DA KG Lab Centraal Lab (9), Klinische Neurowetenschappen, MUMC+: HZC Med Staf Spec Klinische Neurofys (9), RS: MHeNs - R3 - Neuroscience, MUMC+: MA Med Staf Spec Cardiologie (9), RS: Carim - H04 Arrhythmogenesis and cardiogenetics, MUMC+: MA Med Staf Artsass Cardiologie (9), RS: Carim - V04 Surgical intervention, Intensive Care, MUMC+: MA Medische Staf IC (9), MUMC+: MA Intensive Care (3), Interne Geneeskunde, and MUMC+: MA Alg Interne Geneeskunde (9)

Subjects
Male, SARS-CoV-2, COVID-19, Comorbidity, Hospitalization, Risk Factors, Humans, Mediation analysis, Female, Hospital Mortality, Human medicine, Geriatrics and Gerontology, Mortality, Aged, Retrospective Studies, Netherlands
Abstract

Background Age and comorbidities increase COVID-19 related in-hospital mortality risk, but the extent by which comorbidities mediate the impact of age remains unknown. Methods In this multicenter retrospective cohort study with data from 45 Dutch hospitals, 4806 proven COVID-19 patients hospitalized in Dutch hospitals (between February and July 2020) from the CAPACITY-COVID registry were included (age 69[58–77]years, 64% men). The primary outcome was defined as a combination of in-hospital mortality or discharge with palliative care. Logistic regression analysis was performed to analyze the associations between sex, age, and comorbidities with the primary outcome. The effect of comorbidities on the relation of age with the primary outcome was evaluated using mediation analysis. Results In-hospital COVID-19 related mortality occurred in 1108 (23%) patients, 836 (76%) were aged ≥70 years (70+). Both age 70+ and female sex were univariably associated with outcome (odds ratio [OR]4.68, 95%confidence interval [4.02–5.45], OR0.68[0.59–0.79], respectively;both pp Conclusions Age is the main determinant of COVID-19 related in-hospital mortality, with negligible mediation effect of pre-existing comorbidities. Trial registration CAPACITY-COVID (NCT04325412)

Published
2022
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6. The Netherlands Heart Tissue Bank

Author

Henkens, M. T. H. M., primary, van Ast, J. F., additional, te Riele, A. S. J. M., additional, Houweling, A. C., additional, Amin, A. S., additional, Nijveldt, R., additional, Antoni, M. L., additional, Li, X., additional, Wehrens, S. M. T., additional, von der Thüsen, J. H., additional, Damman, K., additional, ter Horst, E. N., additional, Manintveld, O. C., additional, Abma-Schouten, R. Y., additional, Niessen, H. W. M., additional, Silljé, H. H. W., additional, Jukema, J. W., additional, and Doevendans, P. A., additional

Published
2022
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7. The Netherlands Heart Tissue Bank: Strengthening the cardiovascular research infrastructure with an open access Cardiac Tissue Repository

Author

Henkens, M T H M, van Ast, J F, Te Riele, A S J M, Houweling, A C, Amin, A S, Nijveldt, R, Antoni, M L, Li, X, Wehrens, S M T, von der Thüsen, J H, Damman, K, Ter Horst, E N, Manintveld, O C, Abma-Schouten, R Y, Niessen, H W M, Silljé, H H W, Jukema, J W, Doevendans, P A, Henkens, M T H M, van Ast, J F, Te Riele, A S J M, Houweling, A C, Amin, A S, Nijveldt, R, Antoni, M L, Li, X, Wehrens, S M T, von der Thüsen, J H, Damman, K, Ter Horst, E N, Manintveld, O C, Abma-Schouten, R Y, Niessen, H W M, Silljé, H H W, Jukema, J W, and Doevendans, P A

Abstract

AIM: Cardiac diseases remain a leading cause of cardiovascular disease (CVD) related hospitalisation and mortality. That is why research to improve our understanding of pathophysiological processes underlying cardiac diseases is of great importance. There is a strong need for healthy and diseased human cardiac tissue and related clinical data to accomplish this, since currently used animal and in vitro disease models do not fully grasp the pathophysiological processes observed in humans. This design paper describes the initiative of the Netherlands Heart Tissue Bank (NHTB) that aims to boost CVD-related research by providing an open-access biobank.METHODS: The NHTB, founded in June 2020, is a non-profit biobank that collects and stores biomaterial (including but not limited to myocardial tissue and blood samples) and clinical data of individuals with and without previously known cardiac diseases. All individuals aged ≥ 18 years living in the Netherlands are eligible for inclusion as a potential future donor. The stored samples and clinical data will be available upon request for cardiovascular researchers.CONCLUSION: To improve the availability of cardiac tissue for cardiovascular research, the NHTB will include extensive (cardiac) biosamples, medical images, and clinical data of donors with and without a previously known cardiac disease. As such, the NHTB will function as a translational bridge to boost a wide range of cardiac disease-related fundamental and translational studies.

Published
2022

8. Clinical presentation, disease course, and outcome of COVID-19 in hospitalized patients with and without pre-existing cardiac disease: a cohort study across 18 countries

Author

Linschoten, M., Uijl, A., Schut, A., Jakob, C. E. M., Romao, L. R., Bell, R. M., McFarlane, E., Stecher, M., Zondag, A. G. M., van Iperen, E. P. A., Hermans-van Ast, J. F., Lea, N. C., Schaap, J., Jewbali, L. S., Smits, P. C., Patel, R. S., Aujayeb, A., van Smeden, M., Siebelink, H. J., Williams, S., Pilgram, L., Tieleman, R. G., Williams, B., Asselbergs, F. W., Al-Ali, A. K., Al-Muhanna, F. A., Al-Rubaish, A. M., Al-Windy, N. Y. Y., Alkhalil, M., Almubarak, Y. A., Al Nafie, A. N., Al Shahrani, M., Al Shehri, A. M., Anning, C., Anthonio, R. L., Badings, E. A., Ball, C., Van Beek, E. A., Ten Berg, J. M., Von Bergwelt-Baildon, M., Bianco, M., Blagova, O., V, Bleijendaal, H., Bor, W. L., Borgmann, S., van Boxem, A. J. M., van den Brink, F. S., Bucciarelli-Ducci, C., Van Bussel, B. C. T., Byrom-Goulthorp, R., Captur, G., Caputo, M., Charlotte, N., vom Dahl, J., Dark, P., De Sutter, J., Degenhardt, C., Delsing, C. E., Dolff, S., Dorman, H. G. R., Drost, J. T., Eberwein, L., Emans, M. E., Er, A. G., Ferreira, J. B., Forner, M. J., Friedrichs, A., Gabriel, L., Groenemeijer, B. E., Groenendijk, A. L., Gruener, B., Guggemos, W., Haerkens-Arends, H. E., Hanses, F., Hedayat, B., Heigener, D., van der Heijden, D. J., Hellou, E., Hellwig, K., Henkens, M. T. H. M., Hermanides, R. S., Hermans, W. R. M., van Hessen, M. W. J., Heymans, S. R. B., Hilt, A. D., van der Horst, I. C. C., Hower, M., van Ierssel, S. H., Isberner, N., Jensen, B., Kearney, M. T., Kielstein, J. T., Kietselaer, B. L. J. H., Kochanek, M., Kolk, M. Z. H., Koning, A. M. H., Kopylov, P. Y., Kuijper, A. F. M., Kwakkel-van, E. R. P. J. M., Lanznaster, J., van der Linden, M. M. J. M., van der Lingen, A. C. J., Linssen, G. C. M., Lomas, D., Maarse, M., Magdelijns, F. J. H., Magro, M., Markart, P., Martens, F. M. A. C., Mazzilli, S. G., McCann, G. P., van der Meer, P., Meijs, M. F. L., Merle, U., Messiaen, P., Milovanovic, M., Monraats, P. S., Montagna, L., Moriarty, A., Moss, A. J., Mosterd, A., Nadalin, S., Nattermann, J., Neufang, M., Nierop, P. R., Offerhaus, J. A., Van Ofwegen-Hanekamp, C. E. E., Parker, E., Persoon, A. M., Piepel, C., Pinto, Y. M., Poorhosseini, H., Prasad, S., Raafs, A. G., Raichle, C., Rauschning, D., Redon, J., Reidinga, A. C., Ribeiro, M. I. A., Riedel, C., Rieg, S., Ripley, D. P., Rommele, C., Rothfuss, K., Ruddel, J., Ruthrich, M. M., Salah, R., Saneei, E., Saxena, M., Schellings, D. A. A. M., Scholte, N. T. B., Schubert, J., Seelig, J., Shafiee, A., Shore, A. C., Spinner, C., Stieglitz, S., Strauss, R., Sturkenboom, N. H., Tessitore, E., Thomson, R. J., Timmermans, P. J. R., Tio, R. A., Tjong, F. V. Y., Tometten, L., Trauth, J., Van Craenenbroeck, E. M., van Veen, H. P. A. A., den Uil, C. A., Vehreschild, M. J. G. T., Veldhuis, L., I, Veneman, T., Verschure, D. O., Voigt, I, Walter, L., vande Watering, D. J., de Vries, J. K., vande Wal, R. M. A., Westendorp, I. C. D., Westendorp, P. H. M., Westhoff, T., Weytjens, C., Wierda, E., Wille, K., de With, K., Worm, M., Woudstra, P., Wu, K. W., Zaal, R., Zaman, A. G., van der Zee, P. M., Zijlstra, L. E., Alling, T. E., Ahmed, R., Bayraktar-Verver, E. C. E., van Aken, K., Jimenes, Bermudez F. J., Biole, C. A., Den Boer-Penning, P., Bontje, M., Bos, M., Bosch, L., Broekman, M., Broeyer, F. J. F., de Bruijn, E. A. W., Bruinsma, S., Cardoso, N. M., Cosyns, B., Len, van Da D. H., Dekimpe, E., Domange, J., van Doorn, J. L., van DOorn, P., Dormal, F., Drost, I. M. J., Dunnink, A., van Eck, J. W. M., Elshinawy, K., Gevers, R. M. M., Gognieva, D. G., van der Graaf, M., Grangeon, S., Guclu, A., Habib, A., Haenen, N. A., Hamilton, K., Handgraaf, S., Heidbuchel, H., Hendriks-van Woerden, M., Hessels-Linnemeijer, B. M., Hosseini, K., Huisman, J., Jacobs, T. C., Jansen, S. E., Janssen, A., Jourdan, K., ten Kate, G. L., van Kempen, M. J., Kievit, C. M., Kleikers, P., Knufman, N., van der Kooi, S. E., Koole, B. A. S., Koole, M. A. C., Kui, K. K., Kuipers-Elferink, L., Lemoine, I, Lensink, E., van Marrewijk, V, Meijer, E. J., Melein, A. J., Mesitskaya, D. F., van Nes, C. P. M., Paris, F. M. A., Perrelli, M. G., Pieterse-Rots, A., Pisters, R., Polkerman, B. C., van Poppel, A., Reinders, S., Reitsma, M. J., Ruiter, A. H., Selder, J. L., van der Sluis, A., Sousa, A. I. C., Tajdini, M., Sanchez, Tercedor L., Van de Heyning, C. M., Vial, H., Vlieghe, E., Vonkeman, H. E., Vreugdenhil, P., de Vries, T. A. C., Willems, A. M., Wils, A. M., Zoet-Nugteren, S. K., Linschoten, M., Uijl, A., Schut, A., Jakob, C. E. M., Romao, L. R., Bell, R. M., McFarlane, E., Stecher, M., Zondag, A. G. M., van Iperen, E. P. A., Hermans-van Ast, J. F., Lea, N. C., Schaap, J., Jewbali, L. S., Smits, P. C., Patel, R. S., Aujayeb, A., van Smeden, M., Siebelink, H. J., Williams, S., Pilgram, L., Tieleman, R. G., Williams, B., Asselbergs, F. W., Al-Ali, A. K., Al-Muhanna, F. A., Al-Rubaish, A. M., Al-Windy, N. Y. Y., Alkhalil, M., Almubarak, Y. A., Al Nafie, A. N., Al Shahrani, M., Al Shehri, A. M., Anning, C., Anthonio, R. L., Badings, E. A., Ball, C., Van Beek, E. A., Ten Berg, J. M., Von Bergwelt-Baildon, M., Bianco, M., Blagova, O., V, Bleijendaal, H., Bor, W. L., Borgmann, S., van Boxem, A. J. M., van den Brink, F. S., Bucciarelli-Ducci, C., Van Bussel, B. C. T., Byrom-Goulthorp, R., Captur, G., Caputo, M., Charlotte, N., vom Dahl, J., Dark, P., De Sutter, J., Degenhardt, C., Delsing, C. E., Dolff, S., Dorman, H. G. R., Drost, J. T., Eberwein, L., Emans, M. E., Er, A. G., Ferreira, J. B., Forner, M. J., Friedrichs, A., Gabriel, L., Groenemeijer, B. E., Groenendijk, A. L., Gruener, B., Guggemos, W., Haerkens-Arends, H. E., Hanses, F., Hedayat, B., Heigener, D., van der Heijden, D. J., Hellou, E., Hellwig, K., Henkens, M. T. H. M., Hermanides, R. S., Hermans, W. R. M., van Hessen, M. W. J., Heymans, S. R. B., Hilt, A. D., van der Horst, I. C. C., Hower, M., van Ierssel, S. H., Isberner, N., Jensen, B., Kearney, M. T., Kielstein, J. T., Kietselaer, B. L. J. H., Kochanek, M., Kolk, M. Z. H., Koning, A. M. H., Kopylov, P. Y., Kuijper, A. F. M., Kwakkel-van, E. R. P. J. M., Lanznaster, J., van der Linden, M. M. J. M., van der Lingen, A. C. J., Linssen, G. C. M., Lomas, D., Maarse, M., Magdelijns, F. J. H., Magro, M., Markart, P., Martens, F. M. A. C., Mazzilli, S. G., McCann, G. P., van der Meer, P., Meijs, M. F. L., Merle, U., Messiaen, P., Milovanovic, M., Monraats, P. S., Montagna, L., Moriarty, A., Moss, A. J., Mosterd, A., Nadalin, S., Nattermann, J., Neufang, M., Nierop, P. R., Offerhaus, J. A., Van Ofwegen-Hanekamp, C. E. E., Parker, E., Persoon, A. M., Piepel, C., Pinto, Y. M., Poorhosseini, H., Prasad, S., Raafs, A. G., Raichle, C., Rauschning, D., Redon, J., Reidinga, A. C., Ribeiro, M. I. A., Riedel, C., Rieg, S., Ripley, D. P., Rommele, C., Rothfuss, K., Ruddel, J., Ruthrich, M. M., Salah, R., Saneei, E., Saxena, M., Schellings, D. A. A. M., Scholte, N. T. B., Schubert, J., Seelig, J., Shafiee, A., Shore, A. C., Spinner, C., Stieglitz, S., Strauss, R., Sturkenboom, N. H., Tessitore, E., Thomson, R. J., Timmermans, P. J. R., Tio, R. A., Tjong, F. V. Y., Tometten, L., Trauth, J., Van Craenenbroeck, E. M., van Veen, H. P. A. A., den Uil, C. A., Vehreschild, M. J. G. T., Veldhuis, L., I, Veneman, T., Verschure, D. O., Voigt, I, Walter, L., vande Watering, D. J., de Vries, J. K., vande Wal, R. M. A., Westendorp, I. C. D., Westendorp, P. H. M., Westhoff, T., Weytjens, C., Wierda, E., Wille, K., de With, K., Worm, M., Woudstra, P., Wu, K. W., Zaal, R., Zaman, A. G., van der Zee, P. M., Zijlstra, L. E., Alling, T. E., Ahmed, R., Bayraktar-Verver, E. C. E., van Aken, K., Jimenes, Bermudez F. J., Biole, C. A., Den Boer-Penning, P., Bontje, M., Bos, M., Bosch, L., Broekman, M., Broeyer, F. J. F., de Bruijn, E. A. W., Bruinsma, S., Cardoso, N. M., Cosyns, B., Len, van Da D. H., Dekimpe, E., Domange, J., van Doorn, J. L., van DOorn, P., Dormal, F., Drost, I. M. J., Dunnink, A., van Eck, J. W. M., Elshinawy, K., Gevers, R. M. M., Gognieva, D. G., van der Graaf, M., Grangeon, S., Guclu, A., Habib, A., Haenen, N. A., Hamilton, K., Handgraaf, S., Heidbuchel, H., Hendriks-van Woerden, M., Hessels-Linnemeijer, B. M., Hosseini, K., Huisman, J., Jacobs, T. C., Jansen, S. E., Janssen, A., Jourdan, K., ten Kate, G. L., van Kempen, M. J., Kievit, C. M., Kleikers, P., Knufman, N., van der Kooi, S. E., Koole, B. A. S., Koole, M. A. C., Kui, K. K., Kuipers-Elferink, L., Lemoine, I, Lensink, E., van Marrewijk, V, Meijer, E. J., Melein, A. J., Mesitskaya, D. F., van Nes, C. P. M., Paris, F. M. A., Perrelli, M. G., Pieterse-Rots, A., Pisters, R., Polkerman, B. C., van Poppel, A., Reinders, S., Reitsma, M. J., Ruiter, A. H., Selder, J. L., van der Sluis, A., Sousa, A. I. C., Tajdini, M., Sanchez, Tercedor L., Van de Heyning, C. M., Vial, H., Vlieghe, E., Vonkeman, H. E., Vreugdenhil, P., de Vries, T. A. C., Willems, A. M., Wils, A. M., and Zoet-Nugteren, S. K.

Abstract

Aims Patients with cardiac disease are considered high risk for poor outcomes following hospitalization with COVID-19. The primary aim of this study was to evaluate heterogeneity in associations between various heart disease subtypes and in-hospital mortality. Methods and results We used data from the CAPACITY-COVID registry and LEOSS study. Multivariable Poisson regression models were fitted to assess the association between different types of pre-existing heart disease and in-hospital mortality. A total of 16 511 patients with COVID-19 were included (21.1% aged 66-75 years; 40.2% female) and 31.5% had a history of heart disease. Patients with heart disease were older, predominantly male, and often had other comorbid conditions when compared with those without. Mortality was higher in patients with cardiac disease (29.7%; n= 1545 vs. 15.9%; n= 1797). However, following multivariable adjustment, this difference was not significant [adjusted risk ratio (aRR) 1.08, 95% confidence interval (CI) 1.02-1.15; P = 0.12 (corrected for multiple testing)]. Associations with in-hospital mortality by heart disease subtypes differed considerably, with the strongest association for heart failure (aRR 1.19, 95% CI 1.10-1.30; P <0.018) particularly for severe (New York Heart Association class III/IV) heart failure (aRR 1.41, 95% CI 1.20-1.64; P < 0.018). None of the other heart disease subtypes, including ischaemic heart disease, remained significant after multivariable adjustment. Serious cardiac complications were diagnosed in <1% of patients. Conclusion Considerable heterogeneity exists in the strength of association between heart disease subtypes and in-hospital mortality. Of all patients with heart disease, those with heart failure are at greatest risk of death when hospitalized with COVID-19. Serious cardiac complications are rare during hospitalization. [GRAPHICS] .

Published
2022

11. National registry for patients and families with a familial heart disease

Author

Pinto, Y. M., Wilde, A. A. M., Hermans-Van Ast, J. F., Langen, I. M., Tintelen, J. P., Atsma, D. E., Arens, Y. M., Marcelis, C. L., Folkert ten Cate, Vd Smagt, J. J., Houweling, A. C., ACS - Heart failure & arrhythmias, Cardiology, Reproductive Origins of Adult Health and Disease (ROAHD), Cardiovascular Centre (CVC), and Health Psychology Research (HPR)

Subjects
child, posthumous care, register, adult, cost effectiveness analysis, article, sudden death, outpatient department, heart disease, school child, preschool child, adolescent, victim, human
Published
2009

12. Inter-participant agreement in the selection of symptoms for the description of seizures

Author

van Ast, J. F., Talmon, J. L., Ahles, P. P. M., Hasman, A., and Medical Informatics

Abstract

PURPOSE: To evaluate the inter-participant agreement in the selection of symptoms for the description of seizure types. METHODS: We evaluated the inter-participant agreement for a number of seizure types by comparing the actual agreement to the agreement that would result from random symptom selection as well as the maximal attainable agreement among participants that selected a different number of symptoms. RESULTS: For all seizure types the agreement in the symptom selection among the majority of the participants is significantly higher than expected by chance, but not reaching the maximum agreement attainable. CONCLUSION: Although the maximum agreement possible is not obtained, the symptoms selected by a majority of the participants seem to be adequate for the description of seizure types

Published
2002

13. An approach to knowledge base construction based on expert opinions.

Author

van Ast, J. F., Talmon, J. L., Renier, W. O., and Hasman, A.

Subjects
COMPUTERS in medicine, RELIABILITY (Personality trait), NEUROLOGISTS, SPECIALISTS, PHYSICIANS, MEDICAL informatics, ARTIFICIAL intelligence, COMPARATIVE studies, CONFIDENCE intervals, DATABASES, DECISION support systems, EPILEPSY, INFORMATION storage & retrieval systems, MEDICAL databases, INTERNAL medicine, RESEARCH methodology, MEDICAL cooperation, PROBABILITY theory, RESEARCH, EVIDENCE-based medicine, EVALUATION research, RESEARCH bias, DISEASE incidence
Abstract

Objectives: To describe, validate and demonstrate an approach for knowledge base construction based on expert opinions.Methods: A knowledge base containing the frequency of occurrence of manifestations in epileptic seizures is constructed based on information provided by neurologists/epileptologists. The reliability of the responses is determined with the inter-rater intraclass correlation coefficient (ICC). If the ICC is not large enough the Spearman-Brown prophecy formula can be used to predict the number of additional experts. We propose a method to assess whether an additional expert provides information consistent with the already acquired data as well as a method to detect experts with deviating opinions. The power of the first method was determined.Results: Data were collected for five seizure types. The ICCs determined from the responses for the various seizure types after inclusion of the additional experts was in all cases almost equal to 0.9, the target value. Yet one expert with diverging opinions concerning the frequency of occurrence of manifestations for different seizure types could be identified. Excluding this participant improved the reliability of the data. The power of the methods was good (> or =0.75).Conclusions: It is shown that human experts can provide reliable information about the frequency of occurrence of manifestations in epileptic seizures. In addition, the described approach correctly identified neurologists/epileptologists with both consistent and diverging opinions about the frequency of occurrence of manifestations in a number of seizure types. [ABSTRACT FROM AUTHOR]

Published
2004
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16. The yield of risk stratification for sudden cardiac death in hypertrophic cardiomyopathy myosin-binding protein C gene mutation carriers: focus on predictive screening.

Author

Christiaans I, Birnie E, van Langen IM, van Spaendonck-Zwarts KY, van Tintelen JP, van den Berg MP, Atsma DE, Helderman-van den Enden AT, Pinto YM, Hermans-van Ast JF, Bonsel GJ, and Wilde AA

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Analysis of Variance, Child, Child, Preschool, Female, Genetic Testing, Heterozygote, Humans, Infant, Male, Middle Aged, Penetrance, Risk Assessment, Risk Factors, Young Adult, Cardiomyopathy, Hypertrophic, Familial genetics, Carrier Proteins genetics, Death, Sudden, Cardiac prevention & control, Mutation genetics
Abstract

Aims: We investigated the presence of a clinical diagnosis of hypertrophic cardiomyopathy (HCM) and of risk factors for sudden cardiac death (SCD) at the first cardiological evaluation after predictive genetic testing in asymptomatic carriers of an MYBPC3 gene mutation., Methods and Results: Two hundred and thirty-five mutation carriers were cardiologically evaluated on the presence of HCM and risk factors. A clinical diagnosis of HCM was made in 53 carriers (22.6%). Disease penetrance at 65 years was incomplete for all types of MYBPC3 gene mutations. Women were affected less often than men (15 and 32% respectively, P = 0.003) and disease penetrance was lower in females than in males (13 and 30% at 50 years, respectively, P = 0.024). One risk factor was present in 87 carriers and 9 had two or more risk factors. Twenty-five carriers (11%) with one or more risk factors and manifest HCM could be at risk for SCD., Conclusion: At first cardiological evaluation almost one-quarter of asymptomatic carriers was diagnosed with HCM. Risk factors for SCD were frequently present and 11% of carriers could be at risk for SCD. Predictive genetic testing in HCM families and frequent cardiological evaluation on the presence of HCM and risk factors for SCD are justified until advanced age.

Published
2010
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17. Hypertrophic cardiomyopathy family with double-heterozygous mutations; does disease severity suggest doubleheterozygosity?

Author

van Rijsingen IA, Hermans-van Ast JF, Arens YH, Schalla SM, de Die-Smulders CE, van den Wijngaard A, and Pinto YM

Abstract

Background. With the improvement in genetic testing over time, double-heterozygous mutations are more often found by coincidence in families with hypertrophic cardiomyopathy (HCM). Double heterozygosity can be a cause of the wellknown clinical diversity within HCM families.Methods and results. We describe a family in which members carry either a single mutation or are double heterozygous for mutations in myosin heavy chain gene (MYH7) and cysteine and glycine-rich protein 3 (CSRP3). The described family emphasises the idea of a more severe clinical phenotype with double-heterozygous mutations. It also highlights the importance of cardiological screening where NT-proBNP may serve as an added diagnostic tool.Conclusion. With a more severe inexplicable phenotype of HCM within a family, one should consider the possibility of double-heterozygous mutations. This implies that in such families, even when one disease-causing mutation is found, all the family members still have an implication for cardiological screening parallel to extended genetic screening. (Neth Heart J 2009;17:458-63.).

Published
2009
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18. Development of diagnostic reference frames for seizures. Part 1: inter-participant agreement in the selection of symptoms.

Author

van Ast JF, Talmon JL, Renier WO, Ahles PP, and Hasman A

Subjects
Diagnosis, Differential, Humans, Medical Records Systems, Computerized, Observer Variation, Reference Values, Reproducibility of Results, Decision Making, Computer-Assisted, Seizures classification
Abstract

Objective: Our aim is to develop reliable descriptions of various seizure types, which will be used as a basis for decision support. We use expert opinions in this process. In this contribution we evaluate the inter-participant agreement in the selection of frequently occurring symptoms for the description of seizure types., Method: We compared the actual agreement among participants with the agreement that would result from random symptom selection as well as with the maximal agreement attainable. For each seizure type we calculated the reliability coefficients of the responses., Results: For all seizure types we found that the agreement in symptom selection among the participants is significantly higher than expected by chance, but not reaching the maximum agreement attainable. The reliability coefficients varied between 0.56 and 0.74 for the various seizure types., Conclusion: Although the participants do not reach the maximum agreement attainable in the selection of symptoms, the majority agreement on characteristic frequently occurring symptoms for the different seizure types does approach the maximum agreement attainable. Therefore, we conclude that expert opinions can be used for building descriptions of seizure types. However, to derive a reliable set of symptoms for the construction of the diagnostic reference frames (DRFs) more participants are needed.

Published
2003
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19. Development of diagnostic reference frames for seizures. Part 2: are seizure descriptions discriminative?

Author

van Ast JF, Talmon JL, Renier WO, Meinardi H, Ahles PP, and Hasman A

Subjects
Decision Making, Computer-Assisted, Diagnosis, Differential, Electroencephalography, Humans, Medical Records Systems, Computerized, Neurology standards, Observer Variation, Reproducibility of Results, Seizures pathology, Seizures classification
Abstract

Objective: To determine whether the seizure descriptions given by a group of neurologists/epileptologists are discriminative., Method: We constructed templates for various seizure types describing how often symptoms were selected by the participants. We defined a matching score to indicate the match between such a template and the symptoms selected by each neurologist/epileptologist individually and computed the scores for each of the sets of selected symptoms with all templates. Correlation coefficients were calculated between the templates., Results: Data were collected from 24 participants. The matching scores and the correlation coefficients both show that participants provide discriminative descriptions of the seizure types. Descriptions of aggregated seizure types, such as primary generalized seizures, are less discriminatory than the descriptions of more specific seizure types., Conclusion: We concluded that the participants in our study selected symptoms that result in discriminative descriptions of the seizure types. This indicates that knowledge elicitation by using the opinions of a group of clinical experts is possible. The study also indicates that the design of the study could be ameliorated in several ways. These findings will be taken into account when designing the final study.

Published
2003
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20. How many neurologists/epileptologists are needed to provide reliable descriptions of seizure types?

Author

van Ast JF, Talmon JL, Renier WO, and Hasman A

Subjects
Clinical Competence, Decision Support Systems, Clinical, Humans, Netherlands, Reproducibility of Results, Neurology standards, Seizures classification, Seizures diagnosis
Abstract

We are developing seizure descriptions as a basis for decision support. Based on an existing dataset we used the Spearman-Brown prophecy formula to estimate how many neurologist/epileptologists are needed to obtain reliable seizure descriptions (rho = 0.9). By extending the number of participants to the required level we found that the number of participants needed to obtain a reliability coefficient of 0.9 were in accordance with the number of participants determined from the Spearman-Brown prophecy formula. Systematic differences between the participants were minor and not statistically significant.

Published
2003

21. Inter-participant agreement in the selection of symptoms for the description of seizures.

Author

van Ast JF, Talmon JL, Ahles PP, and Hasman A

Subjects
Humans, Netherlands, Seizures classification, Seizures diagnosis, Seizures physiopathology
Abstract

Purpose: To evaluate the inter-participant agreement in the selection of symptoms for the description of seizure types., Methods: We evaluated the inter-participant agreement for a number of seizure types by comparing the actual agreement to the agreement that would result from random symptom selection as well as the maximal attainable agreement among participants that selected a different number of symptoms., Results: For all seizure types the agreement in the symptom selection among the majority of the participants is significantly higher than expected by chance, but not reaching the maximum agreement attainable., Conclusion: Although the maximum agreement possible is not obtained, the symptoms selected by a majority of the participants seem to be adequate for the description of seizure types.

Published
2002

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