Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse

Autor: Fleuren, Lucas M., de Bruin, Daan P., Tonutti, Michele, Lalisang, Robbert C.A., Elbers, Paul W.G., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J.J., Fornasa, Mattia, Machado, Tomas, Dam, Tariq, de Keizer, Nicolet F., Raeissi, Masoume, van der Meer, Nardo J.M., Rigter, Sander, Wils, Evert Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J.A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G.C.A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G.M., Mehagnoul-Schipper, Jannet, Dormans, Tom, Houwert, Taco, Hovenkamp, Hidde, Londono, Roberto Noorduijn, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Ercole, Ari, van der Schaar, Mihaela, Beudel, Martijn, Hoogendoorn, Mark, Girbes, Armand R.J., Herter, Willem E., Thoral, Patrick J., Roggeveen, Luca, van Diggelen, Fuda, el Hassouni, Ali, Guzman, David Romero, Bhulai, Sandjai, Ouweneel, Dagmar, Driessen, Ronald, Peppink, Jan, de Grooth, H. J., Zijlstra, G. J., van Tienhoven, A. J., van der Heiden, Evelien, Spijkstra, Jan Jaap, van der Spoel, Hans, de Man, Angelique, Klausch, Thomas, de Vries, Heder, Neree tot Babberich, Michael de, Thijssens, Olivier, Wagemakers, Lot, Berend, Julie, Silva, Virginia Ceni, Kullberg, Bob, Heunks, Leo, Juffermans, Nicole, Slooter, Arjan, Rettig, Thijs C.D., Reuland, M. C., van Manen, Laura, Montenij, Leon, van Bommel, Jasper, van den Berg, Roy, van Geest, Ellen, Hana, Anisa, Simsek, Suat, van den Bogaard, B., Pickkers, Peter, van der Heiden, Pim, van Gemeren, Claudia, Meinders, Arend Jan, de Bruin, Martha, Rademaker, Emma, van Osch, Frits, de Kruif, Martijn, Hendriks, Stefaan H.A., Schroten, Nicolas, Boelens, Age D., Arnold, Klaas Sierk, Karakus, A., Fijen, J. W., Festen-Spanjer, Barbara, Achterberg, Sefanja, Lens, Judith, van Koesveld, Jacomar, van den Tempel, Walter, Simons, Koen S., de Jager, Cornelis P.C., Oostdijk, Evelien, Labout, Joost, van der Gaauw, Bart, Reidinga, Auke C., Koetsier, Peter, Kuiper, Michael, Cornet, Alexander D., Beishuizen, Albertus, de Jong, Paul, Geutjes, Dennis, Faber, Harald J., Lutisan, Johan, Brunnekreef, Gert, Gemert, Ankie W.M.M.Koopman van, Entjes, Robert, van den Akker, Remko, Simons, Bram, Rijkeboer, A. A., Arbous, Sesmu, Aries, Marcel, van den Oever, Niels C.Gritters, van Tellingen, Martijn

Publikováno v: Intensive Care Medicine, 47(4), 478-481. Springer-Verlag
Intensive care medicine, 47(4), 478-481. Springer Verlag
Intensive Care Medicine, 47, 4, pp. 478-481
Intensive Care Medicine, 47(4), 478-481. Springer Verlag
Intensive Care Medicine
Intensive Care Medicine, 47, 478-481
Fleuren, L M, de Bruin, D P, Tonutti, M, Lalisang, R C A, Elbers, P W G, Dutch ICU Data Sharing Collaborators & Dam, TA 2021, ' Large-scale ICU data sharing for global collaboration : the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse ', Intensive Care Medicine, vol. 47, no. 4, pp. 478-481 . https://doi.org/10.1007/s00134-021-06361-x
Fleuren, L M, de Bruin, D P, Tonutti, M, Lalisang, R C A, Elbers, P W G, Gommers, D, Cremer, O L, Bosman, R J, Vonk, S J J, Fornasa, M, Machado, T, Dam, T, de Keizer, N F, Raeissi, M, van der Meer, N J M, Rigter, S, Wils, E J, Frenzel, T, Dongelmans, D A, de Jong, R, Peters, M, Kamps, M J A, Ramnarain, D, Nowitzky, R, Nooteboom, F G C A, de Ruijter, W, Urlings-Strop, L C, Smit, E G M, Mehagnoul-Schipper, J, Dormans, T, Houwert, T, Hovenkamp, H, Londono, R N, Quintarelli, D, Scholtemeijer, M G, de Beer, A A, Ercole, A, van der Schaar, M, Beudel, M, Hoogendoorn, M, Girbes, A R J, Herter, W E, Thoral, P J, Roggeveen, L, van Diggelen, F, el Hassouni, A, Guzman, D R, Bhulai, S, Ouweneel, D, Driessen, R, Peppink, J, de Grooth, H J, Zijlstra, G J, van Tienhoven, A J, van der Heiden, E, Spijkstra, J J, van der Spoel, H, de Man, A, Klausch, T, de Vries, H, Neree tot Babberich, M D, Thijssens, O, Wagemakers, L, Berend, J, Silva, V C, Kullberg, B, Heunks, L, Juffermans, N, Slooter, A, Rettig, T C D, Reuland, M C, van Manen, L, Montenij, L, van Bommel, J, van den Berg, R, van Geest, E, Hana, A, Simsek, S, van den Bogaard, B, Pickkers, P, van der Heiden, P, van Gemeren, C, Meinders, A J, de Bruin, M, Rademaker, E, van Osch, F, de Kruif, M, Hendriks, S H A, Schroten, N, Boelens, A D, Arnold, K S, Karakus, A, Fijen, J W, Festen-Spanjer, B, Achterberg, S, Lens, J, van Koesveld, J, van den Tempel, W, Simons, K S, de Jager, C P C, Oostdijk, E, Labout, J, van der Gaauw, B, Reidinga, A C, Koetsier, P, Kuiper, M, Cornet, A D, Beishuizen, A, de Jong, P, Geutjes, D, Faber, H J, Lutisan, J, Brunnekreef, G, Gemert, A W M M K V, Entjes, R, van den Akker, R, Simons, B, Rijkeboer, A A, Arbous, S, Aries, M, van den Oever, N C G & van Tellingen, M 2021, ' Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse ', Intensive Care Medicine, vol. 47, no. 4, pp. 478-481 . https://doi.org/10.1007/s00134-021-06361-x
Intensive Care Medicine, 47(4), 478-481. Springer, Cham

Contains fulltext : 238662.pdf (Publisher’s version ) (Closed access)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aafba01478d7c4e3f50dc573db81dcd
https://www.mendeley.com/catalogue/f0ee621e-c32a-384a-bf00-f27a3d318563/

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

Autor: Fleuren, Lucas M., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C.A., Dam, Tariq A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J.J., Fornasa, Mattia, Machado, Tomas, van der Meer, Nardo J.M., Rigter, Sander, Wils, Evert Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J.A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G.C.A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G.M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P.C., Hendriks, Stefaan H.A., Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert, Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Achterberg, Sefanja, Faber, Harald J., Karakus, A., Beukema, Menno, Entjes, Robert, de Jong, Paul, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cinà, Giovanni, Beudel, Martijn, de Keizer, Nicolet F., Hoogendoorn, Mark, Girbes, Armand R.J., Herter, Willem E., Elbers, Paul W.G., Thoral, Patrick J., Rettig, Thijs C.D., Reuland, M. C., van Manen, Laura, Montenij, Leon, van Bommel, Jasper, van den Berg, Roy, van Geest, Ellen, Hana, Anisa, Boersma, W. G., van den Bogaard, B., Pickkers, Peter, van der Heiden, Pim, van Gemeren, Claudia C.W., Meinders, Arend Jan, de Bruin, Martha, Rademaker, Emma, van Osch, Frits H.M., de Kruif, Martijn, Schroten, Nicolas, Arnold, Klaas Sierk, Fijen, J. W., van Koesveld, Jacomar J.M., Simons, Koen S., Labout, Joost, van de Gaauw, Bart, Kuiper, Michael, Beishuizen, Albertus, Geutjes, Dennis, Lutisan, Johan, Grady, Bart P.X., van den Akker, Remko, Simons, Bram, Rijkeboer, A. A., Arbous, Sesmu, Aries, Marcel, van den Oever, Niels C.Gritters, van Tellingen, Martijn, Dijkstra, Annemieke, van Raalte, Rutger, Roggeveen, Luca, van Diggelen, Fuda, Hassouni, Ali el, Guzman, David Romero, Bhulai, Sandjai, Ouweneel, Dagmar, Driessen, Ronald, Peppink, Jan, de Grooth, H. J., Zijlstra, G. J., van Tienhoven, A. J., van der Heiden, Evelien, Spijkstra, Jan Jaap, van der Spoel, Hans, de Man, Angelique, Klausch, Thomas, de Vries, Heder, de Neree tot Babberich, Michael, Thijssens, Olivier, Wagemakers, Lot, van der Pol, Hilde G.A., Hendriks, Tom, Berend, Julie, Silva, Virginia Ceni, Kullberg, Bob, Heunks, Leo, Juffermans, Nicole, Slooter, Arjan

Publikováno v: Intensive Care Medicine Experimental, 9(1):32. Springer Science + Business Media
Intensive Care Medicine Experimental
Intensive Care Medicine Experimental, 9, 1
on behalf of Dutch ICU Data Sharing Against COVID-19 Collaborators 2021, ' Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients : a multicenter machine learning study with highly granular data from the Dutch Data Warehouse ', Intensive Care Medicine Experimental, vol. 9, 32, pp. 1-15 . https://doi.org/10.1186/s40635-021-00397-5
Intensive Care Medicine Experimental, Vol 9, Iss 1, Pp 1-15 (2021)
Intensive Care Medicine Experimental, 9:32, 1-15. Springer Science + Business Media
on behalf of Dutch ICU Data Sharing Against COVID-19 Collaborators 2021, ' Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients : a multicenter machine learning study with highly granular data from the Dutch Data Warehouse ', Intensive Care Medicine Experimental, vol. 9, no. 1, 32, pp. 32 . https://doi.org/10.1186/s40635-021-00397-5
Intensive Care Medicine Experimental, 9
Intensive Care Medicine Experimental, 9(1):32. Springer Open
Intensive Care Medicine Experimental, 9(1):32. SpringerOpen

Background The identification of risk factors for adverse outcomes and prolonged intensive care unit (ICU) stay in COVID-19 patients is essential for prognostication, determining treatment intensity, and resource allocation. Previous studies have det

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e970d1243bf53f19182dbe780357cc5e
https://research.vumc.nl/en/publications/acd67208-aea1-4251-a441-c6600515b1ec

Additional file 1 of Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

Autor: Fleuren, Lucas M., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Dam, Tariq A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J. J., Fornasa, Mattia, Machado, Tomas, van der Meer, Nardo J. M., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J. A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G. C. A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G. M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P. C., Hendriks, Stefaan H. A., Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert, Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Achterberg, Sefanja, Faber, Harald J., Karakus, A., Beukema, Menno, Entjes, Robert, de Jong, Paul, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cinà, Giovanni, Beudel, Martijn, de Keizer, Nicolet F., Hoogendoorn, Mark, Girbes, Armand R. J., Herter, Willem E., Elbers, Paul W. G., Thoral, Patrick J.

Additional file 1: Figure S1. Patient selection. Figure S2. Selection of observations throughout the course of IMV. Figure S3. Nested cross-validation. Figure S4. Importance of the top 10 predictors for the prediction of ventilator free days, as well

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e6e59f435ab269ca7b9c5c944b0e65

Additional file 1 of Predictors for extubation failure in COVID-19 patients using a machine learning approach

Autor: Fleuren, Lucas M., Dam, Tariq A., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J. A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G. C. A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G. M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P. C., Hendriks, Stefaan H. A., Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert B., Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Faber, Harald J., Karakus, A., Entjes, Robert, de Jong, Paul, Rettig, Thijs C. D., Arbous, Sesmu, Vonk, Sebastiaan J. J., Fornasa, Mattia, Machado, Tomas, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cin��, Giovanni, Kantorik, Adam, de Ruijter, Tom, Herter, Willem E., Beudel, Martijn, Girbes, Armand R. J., Hoogendoorn, Mark, Thoral, Patrick J., Elbers, Paul W. G.

Additional file 1. Table S1 Overview of machine learning studies that investigate extubation readiness. Table S2 Model performance. Figure S1 PD-plot for BMI

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d8c55d83628fd887632cc69339317a

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.