Search

Your search keyword '"Guiza F"' showing total 30 results
Start Over Author "Guiza F"
30 results on '"Guiza F"'

2. Traumatic brain injury: progress and challenges in prevention, clinical care, and research

Author

Maas, A.I.R., Menon, D.K., Manley, G.T., Abrams, M., Akerlund, C., Andelic, N., Aries, M., Bashford, T., Bell, M.J., Bodien, Y.G., Brett, B.L., Buki, A., Chesnut, R.M., Citerio, G., Clark, D., Clasby, B., Cooper, D.J., Czeiter, E., Czosnyka, M., Dams-O'Connor, K., Keyser, V. de, Diaz-Arrastia, R., Ercole, A., Essen, T.A. van, Falvey, E., Ferguson, A.R., Figaji, A., Fitzgerald, M., Foreman, B., Gantner, D., Gao, G.Y., Giacino, J., Gravesteijn, B., Guiza, F., Gupta, D., Gurnell, M., Haagsma, J.A., Hammond, F.M., Hawryluk, G., Hutchinson, P., Jagt, M. van der, Jain, S., Jiang, J.Y., Kent, H., Kolias, A., Kompanje, E.J.O., Lecky, F., Lingsma, H.F., Maegele, M., Majdan, M., Markowitz, A., McCrea, M., Meyfroidt, G., Mikoli, A., Mondello, S., Mukherjee, P., Nelson, D., Nelson, L.D., Newcombe, V., Okonkwo, D., Oresic, M., Peul, W., Pisica, D., Polinder, S., Ponsford, J., Puybasset, L., Raj, R., Robba, C., Roe, C., Rosand, J., Schueler, P., Sharp, D.J., Smielewski, P., Stein, M.B., Steinbuchel, N. von, Stewart, W., Steyerberg, E.W., Stocchetti, N., Temkin, N., Tenovuo, O., Theadom, A., Thomas, I., Espin, A.T., Turgeon, A.F., Unterberg, A., Praag, D. van, Veen, E. van, Verheyden, J., Vande Vyvere, T., Wang, K.K.W., Wiegers, E.J.A., Williams, W.H., Wilson, L., Wisniewski, S.R., Younsi, A., Yue, J.K., Yuh, E.L., Zeiler, F.A., Zeldovich, M., Zemek, R., and TBIR Participants Investigators

Published
2022

3. Prediction model for intracranial hypertension demonstrates robust performance during external validation on the CENTER-TBI dataset

Author

Carra, G, Guiza, F, Depreitere, B, Meyfroidt, G, Anke, A, Beer, R, Bellander, B, Beqiri, E, Buki, A, Cabeleira, M, Carbonara, M, Chieregato, A, Citerio, G, Clusmann, H, Czeiter, E, Czosnyka, M, Ercole, A, Frisvold, S, Helbok, R, Jankowski, S, Kondziella, D, Koskinen, L, Kowark, A, Menon, D, Moeller, K, Nelson, D, Piippo-Karjalainen, A, Radoi, A, Ragauskas, A, Raj, R, Rhodes, J, Rocka, S, Rossaint, R, Sahuquillo, J, Sakowitz, O, Smielewski, P, Stocchetti, N, Sundstrom, N, Takala, R, Tenovuo, O, Vajkoczy, P, Vargiolu, A, Vilcinis, R, Wolf, S, Younsi, A, Zeiler, F, Carra G., Guiza F., Depreitere B., Meyfroidt G., Anke A., Beer R., Bellander B. -M., Beqiri E., Buki A., Cabeleira M., Carbonara M., Chieregato A., Citerio G., Clusmann H., Czeiter E., Czosnyka M., Ercole A., Frisvold S., Helbok R., Jankowski S., Kondziella D., Koskinen L. -O., Kowark A., Menon D. K., Moeller K., Nelson D., Piippo-Karjalainen A., Radoi A., Ragauskas A., Raj R., Rhodes J., Rocka S., Rossaint R., Sahuquillo J., Sakowitz O., Smielewski P., Stocchetti N., Sundstrom N., Takala R., Tenovuo O., Vajkoczy P., Vargiolu A., Vilcinis R., Wolf S., Younsi A., Zeiler F. A., Carra, G, Guiza, F, Depreitere, B, Meyfroidt, G, Anke, A, Beer, R, Bellander, B, Beqiri, E, Buki, A, Cabeleira, M, Carbonara, M, Chieregato, A, Citerio, G, Clusmann, H, Czeiter, E, Czosnyka, M, Ercole, A, Frisvold, S, Helbok, R, Jankowski, S, Kondziella, D, Koskinen, L, Kowark, A, Menon, D, Moeller, K, Nelson, D, Piippo-Karjalainen, A, Radoi, A, Ragauskas, A, Raj, R, Rhodes, J, Rocka, S, Rossaint, R, Sahuquillo, J, Sakowitz, O, Smielewski, P, Stocchetti, N, Sundstrom, N, Takala, R, Tenovuo, O, Vajkoczy, P, Vargiolu, A, Vilcinis, R, Wolf, S, Younsi, A, Zeiler, F, Carra G., Guiza F., Depreitere B., Meyfroidt G., Anke A., Beer R., Bellander B. -M., Beqiri E., Buki A., Cabeleira M., Carbonara M., Chieregato A., Citerio G., Clusmann H., Czeiter E., Czosnyka M., Ercole A., Frisvold S., Helbok R., Jankowski S., Kondziella D., Koskinen L. -O., Kowark A., Menon D. K., Moeller K., Nelson D., Piippo-Karjalainen A., Radoi A., Ragauskas A., Raj R., Rhodes J., Rocka S., Rossaint R., Sahuquillo J., Sakowitz O., Smielewski P., Stocchetti N., Sundstrom N., Takala R., Tenovuo O., Vajkoczy P., Vargiolu A., Vilcinis R., Wolf S., Younsi A., and Zeiler F. A.

Published
2021

4. Prediction model for intracranial hypertension demonstrates robust performance during external validation on the CENTER-TBI dataset

Author

Carra G., Guiza F., Depreitere B., Meyfroidt G., Anke A., Beer R., Bellander B. -M., Beqiri E., Buki A., Cabeleira M., Carbonara M., Chieregato A., Citerio G., Clusmann H., Czeiter E., Czosnyka M., Ercole A., Frisvold S., Helbok R., Jankowski S., Kondziella D., Koskinen L. -O., Kowark A., Menon D. K., Moeller K., Nelson D., Piippo-Karjalainen A., Radoi A., Ragauskas A., Raj R., Rhodes J., Rocka S., Rossaint R., Sahuquillo J., Sakowitz O., Smielewski P., Stocchetti N., Sundstrom N., Takala R., Tenovuo O., Vajkoczy P., Vargiolu A., Vilcinis R., Wolf S., Younsi A., Zeiler F. A., Carra, G, Guiza, F, Depreitere, B, Meyfroidt, G, Anke, A, Beer, R, Bellander, B, Beqiri, E, Buki, A, Cabeleira, M, Carbonara, M, Chieregato, A, Citerio, G, Clusmann, H, Czeiter, E, Czosnyka, M, Ercole, A, Frisvold, S, Helbok, R, Jankowski, S, Kondziella, D, Koskinen, L, Kowark, A, Menon, D, Moeller, K, Nelson, D, Piippo-Karjalainen, A, Radoi, A, Ragauskas, A, Raj, R, Rhodes, J, Rocka, S, Rossaint, R, Sahuquillo, J, Sakowitz, O, Smielewski, P, Stocchetti, N, Sundstrom, N, Takala, R, Tenovuo, O, Vajkoczy, P, Vargiolu, A, Vilcinis, R, Wolf, S, Younsi, A, and Zeiler, F

Subjects
medicine.medical_specialty, business.industry, intracranial hypertension, Anesthesiology, Pain medicine, Emergency medicine, MEDLINE, External validation, Humans, Medicine, Center (algebra and category theory), Critical Care and Intensive Care Medicine, business
Published
2020
Full Text
View/download PDF

5. Traumatic brain injury: progress and challenges in prevention, clinical care, and research

Author

Maas, A, Menon, D, Manley, G, Abrams, M, Åkerlund, C, Andelic, N, Aries, M, Bashford, T, Bell, M, Bodien, Y, Brett, B, Büki, A, Chesnut, R, Citerio, G, Clark, D, Clasby, B, Cooper, D, Czeiter, E, Czosnyka, M, Dams-O'Connor, K, De Keyser, V, Diaz-Arrastia, R, Ercole, A, van Essen, T, Falvey, É, Ferguson, A, Figaji, A, Fitzgerald, M, Foreman, B, Gantner, D, Gao, G, Giacino, J, Gravesteijn, B, Guiza, F, Gupta, D, Gurnell, M, Haagsma, J, Hammond, F, Hawryluk, G, Hutchinson, P, van der Jagt, M, Jain, S, Jiang, J, Kent, H, Kolias, A, Kompanje, E, Lecky, F, Lingsma, H, Maegele, M, Majdan, M, Markowitz, A, Mccrea, M, Meyfroidt, G, Mikolić, A, Mondello, S, Mukherjee, P, Nelson, D, Nelson, L, Newcombe, V, Okonkwo, D, Orešič, M, Peul, W, Pisică, D, Polinder, S, Ponsford, J, Puybasset, L, Raj, R, Robba, C, Røe, C, Rosand, J, Schueler, P, Sharp, D, Smielewski, P, Stein, M, von Steinbüchel, N, Stewart, W, Steyerberg, E, Stocchetti, N, Temkin, N, Tenovuo, O, Theadom, A, Thomas, I, Espin, A, Turgeon, A, Unterberg, A, Van Praag, D, van Veen, E, Verheyden, J, Vyvere, T, Wang, K, Wiegers, E, Williams, W, Wilson, L, Wisniewski, S, Younsi, A, Yue, J, Yuh, E, Zeiler, F, Zeldovich, M, Zemek, R, Maas, Andrew I R, Menon, David K, Manley, Geoffrey T, Abrams, Mathew, Åkerlund, Cecilia, Andelic, Nada, Aries, Marcel, Bashford, Tom, Bell, Michael J, Bodien, Yelena G, Brett, Benjamin L, Büki, András, Chesnut, Randall M, Citerio, Giuseppe, Clark, David, Clasby, Betony, Cooper, D Jamie, Czeiter, Endre, Czosnyka, Marek, Dams-O'Connor, Kristen, De Keyser, Véronique, Diaz-Arrastia, Ramon, Ercole, Ari, van Essen, Thomas A, Falvey, Éanna, Ferguson, Adam R, Figaji, Anthony, Fitzgerald, Melinda, Foreman, Brandon, Gantner, Dashiell, Gao, Guoyi, Giacino, Joseph, Gravesteijn, Benjamin, Guiza, Fabian, Gupta, Deepak, Gurnell, Mark, Haagsma, Juanita A, Hammond, Flora M, Hawryluk, Gregory, Hutchinson, Peter, van der Jagt, Mathieu, Jain, Sonia, Jain, Swati, Jiang, Ji-yao, Kent, Hope, Kolias, Angelos, Kompanje, Erwin J O, Lecky, Fiona, Lingsma, Hester F, Maegele, Marc, Majdan, Marek, Markowitz, Amy, McCrea, Michael, Meyfroidt, Geert, Mikolić, Ana, Mondello, Stefania, Mukherjee, Pratik, Nelson, David, Nelson, Lindsay D, Newcombe, Virginia, Okonkwo, David, Orešič, Matej, Peul, Wilco, Pisică, Dana, Polinder, Suzanne, Ponsford, Jennie, Puybasset, Louis, Raj, Rahul, Robba, Chiara, Røe, Cecilie, Rosand, Jonathan, Schueler, Peter, Sharp, David J, Smielewski, Peter, Stein, Murray B, von Steinbüchel, Nicole, Stewart, William, Steyerberg, Ewout W, Stocchetti, Nino, Temkin, Nancy, Tenovuo, Olli, Theadom, Alice, Thomas, Ilias, Espin, Abel Torres, Turgeon, Alexis F, Unterberg, Andreas, Van Praag, Dominique, van Veen, Ernest, Verheyden, Jan, Vyvere, Thijs Vande, Wang, Kevin K W, Wiegers, Eveline J A, Williams, W Huw, Wilson, Lindsay, Wisniewski, Stephen R, Younsi, Alexander, Yue, John, Yuh, Esther L, Zeiler, Frederick A, Zeldovich, Marina, Zemek, Roger, Maas, A, Menon, D, Manley, G, Abrams, M, Åkerlund, C, Andelic, N, Aries, M, Bashford, T, Bell, M, Bodien, Y, Brett, B, Büki, A, Chesnut, R, Citerio, G, Clark, D, Clasby, B, Cooper, D, Czeiter, E, Czosnyka, M, Dams-O'Connor, K, De Keyser, V, Diaz-Arrastia, R, Ercole, A, van Essen, T, Falvey, É, Ferguson, A, Figaji, A, Fitzgerald, M, Foreman, B, Gantner, D, Gao, G, Giacino, J, Gravesteijn, B, Guiza, F, Gupta, D, Gurnell, M, Haagsma, J, Hammond, F, Hawryluk, G, Hutchinson, P, van der Jagt, M, Jain, S, Jiang, J, Kent, H, Kolias, A, Kompanje, E, Lecky, F, Lingsma, H, Maegele, M, Majdan, M, Markowitz, A, Mccrea, M, Meyfroidt, G, Mikolić, A, Mondello, S, Mukherjee, P, Nelson, D, Nelson, L, Newcombe, V, Okonkwo, D, Orešič, M, Peul, W, Pisică, D, Polinder, S, Ponsford, J, Puybasset, L, Raj, R, Robba, C, Røe, C, Rosand, J, Schueler, P, Sharp, D, Smielewski, P, Stein, M, von Steinbüchel, N, Stewart, W, Steyerberg, E, Stocchetti, N, Temkin, N, Tenovuo, O, Theadom, A, Thomas, I, Espin, A, Turgeon, A, Unterberg, A, Van Praag, D, van Veen, E, Verheyden, J, Vyvere, T, Wang, K, Wiegers, E, Williams, W, Wilson, L, Wisniewski, S, Younsi, A, Yue, J, Yuh, E, Zeiler, F, Zeldovich, M, Zemek, R, Maas, Andrew I R, Menon, David K, Manley, Geoffrey T, Abrams, Mathew, Åkerlund, Cecilia, Andelic, Nada, Aries, Marcel, Bashford, Tom, Bell, Michael J, Bodien, Yelena G, Brett, Benjamin L, Büki, András, Chesnut, Randall M, Citerio, Giuseppe, Clark, David, Clasby, Betony, Cooper, D Jamie, Czeiter, Endre, Czosnyka, Marek, Dams-O'Connor, Kristen, De Keyser, Véronique, Diaz-Arrastia, Ramon, Ercole, Ari, van Essen, Thomas A, Falvey, Éanna, Ferguson, Adam R, Figaji, Anthony, Fitzgerald, Melinda, Foreman, Brandon, Gantner, Dashiell, Gao, Guoyi, Giacino, Joseph, Gravesteijn, Benjamin, Guiza, Fabian, Gupta, Deepak, Gurnell, Mark, Haagsma, Juanita A, Hammond, Flora M, Hawryluk, Gregory, Hutchinson, Peter, van der Jagt, Mathieu, Jain, Sonia, Jain, Swati, Jiang, Ji-yao, Kent, Hope, Kolias, Angelos, Kompanje, Erwin J O, Lecky, Fiona, Lingsma, Hester F, Maegele, Marc, Majdan, Marek, Markowitz, Amy, McCrea, Michael, Meyfroidt, Geert, Mikolić, Ana, Mondello, Stefania, Mukherjee, Pratik, Nelson, David, Nelson, Lindsay D, Newcombe, Virginia, Okonkwo, David, Orešič, Matej, Peul, Wilco, Pisică, Dana, Polinder, Suzanne, Ponsford, Jennie, Puybasset, Louis, Raj, Rahul, Robba, Chiara, Røe, Cecilie, Rosand, Jonathan, Schueler, Peter, Sharp, David J, Smielewski, Peter, Stein, Murray B, von Steinbüchel, Nicole, Stewart, William, Steyerberg, Ewout W, Stocchetti, Nino, Temkin, Nancy, Tenovuo, Olli, Theadom, Alice, Thomas, Ilias, Espin, Abel Torres, Turgeon, Alexis F, Unterberg, Andreas, Van Praag, Dominique, van Veen, Ernest, Verheyden, Jan, Vyvere, Thijs Vande, Wang, Kevin K W, Wiegers, Eveline J A, Williams, W Huw, Wilson, Lindsay, Wisniewski, Stephen R, Younsi, Alexander, Yue, John, Yuh, Esther L, Zeiler, Frederick A, Zeldovich, Marina, and Zemek, Roger

Published
2022

15. Long-term developmental effects of withholding parenteral nutrition for 1 week in the paediatric intensive care unit: a 2-year follow-up of the PEPaNIC international, randomised, controlled trial

Author

Verstraete, S, Verbruggen, S.C.A.T., Hordijk, José, Vanhorebeek, I, Dulfer, Karolijn, Guiza, F, Puffelen, Esther, Jacobs, A, Leys, S, Durt, A, Van Cleemput, H, Eveleens, Renate, Guerra, GG, Wouters, PJ, Joosten, Koen, Berghe, G, Verstraete, S, Verbruggen, S.C.A.T., Hordijk, José, Vanhorebeek, I, Dulfer, Karolijn, Guiza, F, Puffelen, Esther, Jacobs, A, Leys, S, Durt, A, Van Cleemput, H, Eveleens, Renate, Guerra, GG, Wouters, PJ, Joosten, Koen, and Berghe, G

Published
2019

23. Guided Monte Carlo tree search for planning in learned environments

Author

Eyck, J., Ramon, J., Guiza, F., Meyfroidt, G., Bruynooghe, M., Greet Van den Berghe, Ong, Cheng soon, and Ho, Tu Bao

Abstract

Monte Carlo tree search (MCTS) is a sampling and simulation based technique for searching in large search spaces containing both decision nodes and probabilistic events. This technique has recently become popular due to its successful application to games, e.g. Poker and Go. Such games have known rules and the alternation between self-moves and non-deterministic events or opponent moves can be used to prune uninteresting branches. In this paper we study a real-world setting where the processes in the domain have a high degree of uncertainty and the need for longer-term planning implies a sequence of (planning) decisions without any intermediate feedback. Fortunately, unlike the combinatorial complexity in strategic games, many real-world environments can be approximated by efficient algorithms on a short term. This paper proposes an MCTS variant using a new type of prior information based on estimating the effects of part of the world and explores its application to the problem of hospital planning, where machine learning algorithms can be used to predict the length of stay of patients for each of the different stages of their recovery. ispartof: pages:33-47 ispartof: JMLR Workshop and Conference Proceedings vol:29 pages:33-47 ispartof: Asian Conference on Machine Learning location:Canberra, Australia date:13 Nov - 15 Nov 2013 status: published

25. Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model

Author

Meyfroidt Geert, Güiza Fabian, Cottem Dominiek, De Becker Wilfried, Van Loon Kristien, Aerts Jean-Marie, Berckmans Daniël, Ramon Jan, Bruynooghe Maurice, and Van den Berghe Greet

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Abstract Background The intensive care unit (ICU) length of stay (LOS) of patients undergoing cardiac surgery may vary considerably, and is often difficult to predict within the first hours after admission. The early clinical evolution of a cardiac surgery patient might be predictive for his LOS. The purpose of the present study was to develop a predictive model for ICU discharge after non-emergency cardiac surgery, by analyzing the first 4 hours of data in the computerized medical record of these patients with Gaussian processes (GP), a machine learning technique. Methods Non-interventional study. Predictive modeling, separate development (n = 461) and validation (n = 499) cohort. GP models were developed to predict the probability of ICU discharge the day after surgery (classification task), and to predict the day of ICU discharge as a discrete variable (regression task). GP predictions were compared with predictions by EuroSCORE, nurses and physicians. The classification task was evaluated using aROC for discrimination, and Brier Score, Brier Score Scaled, and Hosmer-Lemeshow test for calibration. The regression task was evaluated by comparing median actual and predicted discharge, loss penalty function (LPF) ((actual-predicted)/actual) and calculating root mean squared relative errors (RMSRE). Results Median (P25-P75) ICU length of stay was 3 (2-5) days. For classification, the GP model showed an aROC of 0.758 which was significantly higher than the predictions by nurses, but not better than EuroSCORE and physicians. The GP had the best calibration, with a Brier Score of 0.179 and Hosmer-Lemeshow p-value of 0.382. For regression, GP had the highest proportion of patients with a correctly predicted day of discharge (40%), which was significantly better than the EuroSCORE (p < 0.001) and nurses (p = 0.044) but equivalent to physicians. GP had the lowest RMSRE (0.408) of all predictive models. Conclusions A GP model that uses PDMS data of the first 4 hours after admission in the ICU of scheduled adult cardiac surgery patients was able to predict discharge from the ICU as a classification as well as a regression task. The GP model demonstrated a significantly better discriminative power than the EuroSCORE and the ICU nurses, and at least as good as predictions done by ICU physicians. The GP model was the only well calibrated model.

Published
2011
Full Text
View/download PDF

26. Traumatic brain injury : progress and challenges in prevention, clinical care, and research

Author

Andrew I R Maas, David K Menon, Geoffrey T Manley, Mathew Abrams, Cecilia Åkerlund, Nada Andelic, Marcel Aries, Tom Bashford, Michael J Bell, Yelena G Bodien, Benjamin L Brett, András Büki, Randall M Chesnut, Giuseppe Citerio, David Clark, Betony Clasby, D Jamie Cooper, Endre Czeiter, Marek Czosnyka, Kristen Dams-O'Connor, Véronique De Keyser, Ramon Diaz-Arrastia, Ari Ercole, Thomas A van Essen, Éanna Falvey, Adam R Ferguson, Anthony Figaji, Melinda Fitzgerald, Brandon Foreman, Dashiell Gantner, Guoyi Gao, Joseph Giacino, Benjamin Gravesteijn, Fabian Guiza, Deepak Gupta, Mark Gurnell, Juanita A Haagsma, Flora M Hammond, Gregory Hawryluk, Peter Hutchinson, Mathieu van der Jagt, Sonia Jain, Swati Jain, Ji-yao Jiang, Hope Kent, Angelos Kolias, Erwin J O Kompanje, Fiona Lecky, Hester F Lingsma, Marc Maegele, Marek Majdan, Amy Markowitz, Michael McCrea, Geert Meyfroidt, Ana Mikolić, Stefania Mondello, Pratik Mukherjee, David Nelson, Lindsay D Nelson, Virginia Newcombe, David Okonkwo, Matej Orešič, Wilco Peul, Dana Pisică, Suzanne Polinder, Jennie Ponsford, Louis Puybasset, Rahul Raj, Chiara Robba, Cecilie Røe, Jonathan Rosand, Peter Schueler, David J Sharp, Peter Smielewski, Murray B Stein, Nicole von Steinbüchel, William Stewart, Ewout W Steyerberg, Nino Stocchetti, Nancy Temkin, Olli Tenovuo, Alice Theadom, Ilias Thomas, Abel Torres Espin, Alexis F Turgeon, Andreas Unterberg, Dominique Van Praag, Ernest van Veen, Jan Verheyden, Thijs Vande Vyvere, Kevin K W Wang, Eveline J A Wiegers, W Huw Williams, Lindsay Wilson, Stephen R Wisniewski, Alexander Younsi, John K Yue, Esther L Yuh, Frederick A Zeiler, Marina Zeldovich, Roger Zemek, InTBIR Participants and Investigators, Maas, A, Menon, D, Manley, G, Abrams, M, Åkerlund, C, Andelic, N, Aries, M, Bashford, T, Bell, M, Bodien, Y, Brett, B, Büki, A, Chesnut, R, Citerio, G, Clark, D, Clasby, B, Cooper, D, Czeiter, E, Czosnyka, M, Dams-O'Connor, K, De Keyser, V, Diaz-Arrastia, R, Ercole, A, van Essen, T, Falvey, É, Ferguson, A, Figaji, A, Fitzgerald, M, Foreman, B, Gantner, D, Gao, G, Giacino, J, Gravesteijn, B, Guiza, F, Gupta, D, Gurnell, M, Haagsma, J, Hammond, F, Hawryluk, G, Hutchinson, P, van der Jagt, M, Jain, S, Jiang, J, Kent, H, Kolias, A, Kompanje, E, Lecky, F, Lingsma, H, Maegele, M, Majdan, M, Markowitz, A, Mccrea, M, Meyfroidt, G, Mikolić, A, Mondello, S, Mukherjee, P, Nelson, D, Nelson, L, Newcombe, V, Okonkwo, D, Orešič, M, Peul, W, Pisică, D, Polinder, S, Ponsford, J, Puybasset, L, Raj, R, Robba, C, Røe, C, Rosand, J, Schueler, P, Sharp, D, Smielewski, P, Stein, M, von Steinbüchel, N, Stewart, W, Steyerberg, E, Stocchetti, N, Temkin, N, Tenovuo, O, Theadom, A, Thomas, I, Espin, A, Turgeon, A, Unterberg, A, Van Praag, D, van Veen, E, Verheyden, J, Vyvere, T, Wang, K, Wiegers, E, Williams, W, Wilson, L, Wisniewski, S, Younsi, A, Yue, J, Yuh, E, Zeiler, F, Zeldovich, M, Zemek, R, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Intensive Care, and MUMC+: MA Medische Staf IC (9)

Subjects
NEUROTRAUMA EFFECTIVENESS RESEARCH, OUTCOME PREDICTION, PREHOSPITAL TRIAGE TOOLS, COMMON DATA ELEMENTS, Violence, INTENSIVE-CARE, CEREBRAL PERFUSION-PRESSURE, POSTTRAUMATIC-STRESS-DISORDER, Cost of Illness, LIFE-SUSTAINING THERAPY, CT HEAD RULE, Brain Injuries, Traumatic, Humans, Neurology (clinical), MAJOR TRAUMA, Human medicine, Sports
Abstract

Traumatic brain injury (TBI) has the highest incidence of all common neurological disorders, and poses a substantial public health burden. TBI is increasingly documented not only as an acute condition but also as a chronic disease with long-term consequences, including an increased risk of late-onset neurodegeneration. The first Lancet Neurology Commission on TBI, published in 2017, called for a concerted effort to tackle the global health problem posed by TBI. Since then, funding agencies have supported research both in high-income countries (HICs) and in low-income and middle-income countries (LMICs). In November 2020, the World Health Assembly, the decision-making body of WHO, passed resolution WHA73.10 for global actions on epilepsy and other neurological disorders, and WHO launched the Decade for Action on Road Safety plan in 2021. New knowledge has been generated by large observational studies, including those conducted under the umbrella of the International Traumatic Brain Injury Research (InTBIR) initiative, established as a collaboration of funding agencies in 2011. InTBIR has also provided a huge stimulus to collaborative research in TBI and has facilitated participation of global partners. The return on investment has been high, but many needs of patients with TBI remain unaddressed. This update to the 2017 Commission presents advances and discusses persisting and new challenges in prevention, clinical care, and research.

Published
2022

27. 39th International Symposium on Intensive Care and Emergency Medicine

Author

Wouter Vankrunkelsven, Colin Graham, Kevin KC Hung, Joshua Callon, Daria Kamyshova, Olesya Belopolskaya, Ling Yan LEUNG, Wincy Ng, Thomas Nguyen, Man Yee Man, Carra, G, Elli, F, Huber, L, Guiza, F, Ianosi, B, Rass, V, Depreitere, B, Meyfrodidt, G, Citerio, G, and Helbok, R

Subjects
03 medical and health sciences, 0302 clinical medicine, Chemistry, 030208 emergency & critical care medicine, 030204 cardiovascular system & hematology, Pharmacology, Critical Care and Intensive Care Medicine, Endothelial glycocalyx, Anaerobic exercise, Intracranial pressure, subarachnoid hemorrhage, Microcirculation
Published
2019
Full Text
View/download PDF

28. Impact of withholding early parenteral nutrition on 2-year mortality and functional outcome in critically ill adults.

Author

Casaer MP, Stragier H, Hermans G, Hendrickx A, Wouters PJ, Dubois J, Guiza F, Van den Berghe G, and Gunst J

Subjects
Humans, Male, Female, Middle Aged, Aged, Prospective Studies, Follow-Up Studies, Withholding Treatment statistics & numerical data, Time Factors, Intensive Care Units statistics & numerical data, Adult, Nutritional Status, Critical Illness mortality, Critical Illness therapy, Parenteral Nutrition methods, Parenteral Nutrition statistics & numerical data
Abstract

Purpose: In critically ill adults, withholding parenteral nutrition until 1 week after intensive care admission (Late-PN) facilitated recovery as compared with early supplementation of insufficient enteral nutrition with parenteral nutrition (Early-PN). However, the impact on long-term mortality and functional outcome, in relation to the estimated nutritional risk, remains unclear., Methods: In this prospective follow-up study of the multicenter EPaNIC randomized controlled trial, we investigated the impact of Late-PN on 2-year mortality (N = 4640) and physical functioning, assessed by the 36-Item Short Form Health Survey (SF-36; in 3292 survivors, responding 819 [738-1058] days post-randomization). To account for missing data, we repeated the analyses in two imputed models. To identify potential heterogeneity of treatment effects, we investigated the impact of Late-PN in different nutritional risk subgroups as defined by Nutritional Risk Screening-2002-score, modified NUTrition Risk in the Critically Ill-score, and age (above/below 70 years), and we evaluated whether there was statistically significant interaction between classification to a nutritional risk subgroup and the effect of the randomized intervention. Secondary outcomes were SF-36-derived physical and mental component scores (PCS & MCS)., Results: Two-year mortality (20.5% in Late-PN, 19.8% in Early-PN; P = 0.54) and physical functioning (70 [40-90] in both study-arms; P = 0.99) were similar in both groups, also after imputation of missing physical functioning data. Likewise, Late-PN had no impact on 2-year mortality and physical functioning in any nutritional risk subgroup. PCS and MCS were similar in both groups., Conclusion: Late-PN did not alter 2-year survival and physical functioning in adult critically ill patients, independent of anticipated nutritional risk., (© 2024. Springer-Verlag GmbH Germany, part of Springer Nature.)

Published
2024
Full Text
View/download PDF

29. Traumatic brain injury: progress and challenges in prevention, clinical care, and research.

Author

Maas AIR, Menon DK, Manley GT, Abrams M, Åkerlund C, Andelic N, Aries M, Bashford T, Bell MJ, Bodien YG, Brett BL, Büki A, Chesnut RM, Citerio G, Clark D, Clasby B, Cooper DJ, Czeiter E, Czosnyka M, Dams-O'Connor K, De Keyser V, Diaz-Arrastia R, Ercole A, van Essen TA, Falvey É, Ferguson AR, Figaji A, Fitzgerald M, Foreman B, Gantner D, Gao G, Giacino J, Gravesteijn B, Guiza F, Gupta D, Gurnell M, Haagsma JA, Hammond FM, Hawryluk G, Hutchinson P, van der Jagt M, Jain S, Jain S, Jiang JY, Kent H, Kolias A, Kompanje EJO, Lecky F, Lingsma HF, Maegele M, Majdan M, Markowitz A, McCrea M, Meyfroidt G, Mikolić A, Mondello S, Mukherjee P, Nelson D, Nelson LD, Newcombe V, Okonkwo D, Orešič M, Peul W, Pisică D, Polinder S, Ponsford J, Puybasset L, Raj R, Robba C, Røe C, Rosand J, Schueler P, Sharp DJ, Smielewski P, Stein MB, von Steinbüchel N, Stewart W, Steyerberg EW, Stocchetti N, Temkin N, Tenovuo O, Theadom A, Thomas I, Espin AT, Turgeon AF, Unterberg A, Van Praag D, van Veen E, Verheyden J, Vyvere TV, Wang KKW, Wiegers EJA, Williams WH, Wilson L, Wisniewski SR, Younsi A, Yue JK, Yuh EL, Zeiler FA, Zeldovich M, and Zemek R

Subjects
Humans, Cost of Illness, Violence, Sports, Brain Injuries, Traumatic prevention & control, Brain Injuries, Traumatic drug therapy
Abstract

Competing Interests: Declaration of interests No funding was provided specifically for this Commission paper; however, most authors are involved in the International Initiative for Traumatic Brain Injury Research (InTBIR) as a scientific participant or an investigator. This Commission would not have been possible without the indirect facilitation provided by the InTBIR network. AIRM declares consulting fees from PresSura Neuro, Integra Life Sciences, and NeuroTrauma Sciences. DKM reports research support, and educational and consulting fees from Lantmannen AB, GlaxoSmithKline, Calico, PresSura Neuro, NeuroTrauma Sciences, and Integra Neurosciences. GTM declares grants from the US National Institutes of Health-National Institute of Neurological Disorders and Stroke (grant U01NS086090), the US Department of Defense (grant W81XWH-14-2-0176, grant W81XWH-18-2-0042, and contract W81XWH-15-9-0001). MC reports licensing fees for ICM+ software from Cambridge Enterprise and was an honorary (unpaid) director for Medicam. PS reports licensing fees for ICM+ software from Cambridge Enterprise. MBS has in the past 3 years received consulting income from Acadia Pharmaceuticals, Aptinyx, atai Life Sciences, Boehringer Ingelheim, Bionomics, BioXcel Therapeutics, Clexio, Eisai, EmpowerPharm, Engrail Therapeutics, Janssen, Jazz Pharmaceuticals, and Roche/Genentech. MBS also has stock options in Oxeia Biopharmaceuticals and EpiVario and is paid for editorial work on Depression and Anxiety (Editor-in-Chief), Biological Psychiatry (Deputy Editor), and UpToDate (Co-Editor-in-Chief for Psychiatry). KKWW holds stock options in Gryphon Bio. All other authors declare no competing interests.

Published
2022
Full Text
View/download PDF

30. Dynamic data analysis and data mining for prediction of clinical stability.

Author

Van Loon K, Guiza F, Meyfroidt G, Aerts JM, Ramon J, Blockeel H, Bruynooghe M, Van Den Berghe G, and Berckmans D

Subjects
Aged, Belgium, Female, Humans, Intensive Care Units, Male, Middle Aged, Normal Distribution, Ventilator Weaning statistics & numerical data, Information Storage and Retrieval, Statistics as Topic methods
Abstract

This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes according to the time they need to reach a stable state after coronary bypass surgery: less or more than nine hours. On the basis of five physiological variables different dynamic features were extracted. These sets of features served subsequently as inputs for a Gaussian process and the prediction results were compared with the case where only admission data was used for the classification. The dynamic features, especially the cepstral coefficients (aROC: 0.749, Brier score: 0.206), resulted in higher performances when compared to static admission data (aROC: 0.547, Brier score: 0.247). In all cases, the Gaussian process classifier outperformed logistic regression.

Published
2009

Catalog

Books, media, physical & digital resources
See catalog results