Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Luca F. Roggeveen"'
Autor:
Luca F. Roggeveen, Ali el Hassouni, Harm-Jan de Grooth, Armand R. J. Girbes, Mark Hoogendoorn, Paul W. G. Elbers, the Dutch ICU Data Sharing Against COVID-19 Collaborators
Publikováno v:
Intensive Care Medicine Experimental, Vol 12, Iss 1, Pp 1-13 (2024)
Abstract Background Reinforcement learning (RL) holds great promise for intensive care medicine given the abundant availability of data and frequent sequential decision-making. But despite the emergence of promising algorithms, RL driven bedside clin
Externí odkaz:
https://doaj.org/article/4208842b159948619a3883a836399732
Autor:
Tariq A. Dam, Luca F. Roggeveen, Fuda van Diggelen, Lucas M. Fleuren, Ameet R. Jagesar, Martijn Otten, Heder J. de Vries, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco A. A. Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, A. Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Sesmu Arbous, Sebastiaan J. J. Vonk, Tomas Machado, Willem E. Herter, Harm-Jan de Grooth, Patrick J. Thoral, Armand R. J. Girbes, Mark Hoogendoorn, Paul W. G. Elbers, The Dutch ICU Data Sharing Against COVID-19 Collaborators
Publikováno v:
Annals of Intensive Care, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Background For mechanically ventilated critically ill COVID-19 patients, prone positioning has quickly become an important treatment strategy, however, prone positioning is labor intensive and comes with potential adverse effects. Therefore,
Externí odkaz:
https://doaj.org/article/a3584c779f174b4ab55ecd74982c5e66
Autor:
Luca F. Roggeveen, Tingjie Guo, Lucas M. Fleuren, Ronald Driessen, Patrick Thoral, Reinier M. van Hest, Ron A. A. Mathot, Eleonora L. Swart, Harm-Jan de Grooth, Bas van den Bogaard, Armand R. J. Girbes, Rob J. Bosman, Paul W. G. Elbers
Publikováno v:
Critical Care, Vol 26, Iss 1, Pp 1-11 (2022)
Abstract Background Adequate antibiotic dosing may improve outcomes in critically ill patients but is challenging due to altered and variable pharmacokinetics. To address this challenge, AutoKinetics was developed, a decision support system for bedsi
Externí odkaz:
https://doaj.org/article/6a01424511e0433f9b3a6d071324f5c2
Autor:
Luca F. Roggeveen, Lucas M. Fleuren, Tingjie Guo, Patrick Thoral, Harm Jan de Grooth, Eleonora L. Swart, Thomas L. T. Klausch, Peter H. J. van der Voort, Armand R. J. Girbes, Rob J. Bosman, Paul W. G. Elbers
Publikováno v:
Trials, Vol 20, Iss 1, Pp 1-13 (2019)
Abstract Background Antibiotic exposure is often inadequate in critically ill patients with severe sepsis or septic shock and this is associated with worse outcomes. Despite markedly altered and rapidly changing pharmacokinetics in these patients, gu
Externí odkaz:
https://doaj.org/article/2b27308607ef4e9fa44e0add70ba8348
Autor:
Lucas M. Fleuren, Luca F. Roggeveen, Tingjie Guo, Petr Waldauf, Peter H. J. van der Voort, Rob J. Bosman, Eleonora L. Swart, Armand R. J. Girbes, Paul W. G. Elbers
Publikováno v:
Critical Care, Vol 23, Iss 1, Pp 1-9 (2019)
Abstract Background Antibiotic exposure in intensive care patients with sepsis is frequently inadequate and is associated with poorer outcomes. Antibiotic dosing is challenging in the intensive care, as critically ill patients have altered and fluctu
Externí odkaz:
https://doaj.org/article/bc3f6b1b19dc470598477a7381dd8d8b
Autor:
Luca F. Roggeveen, Tingjie Guo, Ronald H. Driessen, Lucas M. Fleuren, Patrick Thoral, Peter H. J. van der Voort, Armand R. J. Girbes, Rob J. Bosman, Paul Elbers
Publikováno v:
Frontiers in Pharmacology, Vol 11 (2020)
IntroductionAntibiotic dosing in critically ill patients is challenging because their pharmacokinetics (PK) are altered and may change rapidly with disease progression. Standard dosing frequently leads to inadequate PK exposure. Therapeutic drug moni
Externí odkaz:
https://doaj.org/article/14b67b93653c458aa8af08df6f0b2300
Autor:
Ron A. A. Mathôt, Reinier M. van Hest, Armand R. J. Girbes, Rob J. Bosman, Johan G. C. van Hasselt, Lucas M. Fleuren, Luca F. Roggeveen, Peter H. J. van der Voort, Tingjie Guo, Paul W. G. Elbers
Publikováno v:
Guo, T, van Hest, R M, Fleuren, L M, Roggeveen, L F, Bosman, R J, van der Voort, P H J, Girbes, A R J, Mathot, R A A, van Hasselt, J G C & Elbers, P W G 2021, ' Why we should sample sparsely and aim for a higher target: Lessons from model-based therapeutic drug monitoring of vancomycin in intensive care patients ', British Journal of Clinical Pharmacology, vol. 87, no. 3, pp. 1234-1242 . https://doi.org/10.1111/bcp.14498
British journal of clinical pharmacology, 87(3), 1234-1242. Wiley-Blackwell
British Journal of Clinical Pharmacology, 87(3), 1234-1242. WILEY
British Journal of Clinical Pharmacology, 87(3), 1234-1242. Wiley-Blackwell
British journal of clinical pharmacology, 87(3), 1234-1242. Wiley-Blackwell
British Journal of Clinical Pharmacology, 87(3), 1234-1242. WILEY
British Journal of Clinical Pharmacology, 87(3), 1234-1242. Wiley-Blackwell
Aims To explore the optimal data sampling scheme and the pharmacokinetic (PK) target exposure on which dose computation is based in the model-based therapeutic drug monitoring (TDM) practice of vancomycin in intensive care (ICU) patients. Methods We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c8d8c522974b4522c3281dd3e510423
https://research.vumc.nl/en/publications/e1ce522f-1646-4d31-a6b1-2e3ca7428784
https://research.vumc.nl/en/publications/e1ce522f-1646-4d31-a6b1-2e3ca7428784
Autor:
Patrick Thoral, Ali el Hassouni, Paul W. G. Elbers, Tingjie Guo, Jonas Ahrendt, Armand R. J. Girbes, Lucas M. Fleuren, Mark Hoogendoorn, Luca F. Roggeveen
Publikováno v:
Roggeveen, L, el Hassouni, A, Ahrendt, J, Guo, T, Fleuren, L, Thoral, P, Girbes, A RJ, Hoogendoorn, M & Elbers, P WG 2021, ' Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis ', Artificial Intelligence in Medicine, vol. 112, 102003 . https://doi.org/10.1016/j.artmed.2020.102003
Artificial Intelligence in Medicine, 112:102003. Elsevier
Roggeveen, L, el Hassouni, A, Ahrendt, J, Guo, T, Fleuren, L, Thoral, P, Girbes, A R, Hoogendoorn, M & Elbers, P W 2021, ' Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis ', Artificial Intelligence in Medicine, vol. 112, 102003 . https://doi.org/10.1016/j.artmed.2020.102003
Artificial Intelligence in Medicine, 112:102003. Elsevier
Roggeveen, L, el Hassouni, A, Ahrendt, J, Guo, T, Fleuren, L, Thoral, P, Girbes, A R, Hoogendoorn, M & Elbers, P W 2021, ' Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis ', Artificial Intelligence in Medicine, vol. 112, 102003 . https://doi.org/10.1016/j.artmed.2020.102003
Introduction In recent years, reinforcement learning (RL) has gained traction in the healthcare domain. In particular, RL methods have been explored for haemodynamic optimization of septic patients in the Intensive Care Unit. Most hospitals however,
Autor:
Peter H. J. van der Voort, Armand R. J. Girbes, Laura B Zwep, Tingjie Guo, Lucas M. Fleuren, Rob J. Bosman, Paul W. G. Elbers, Luca F. Roggeveen, Reinier M. van Hest, Johan G. C. van Hasselt, Ron A. A. Mathôt
Publikováno v:
Guo, T, van Hest, R M, Zwep, L B, Roggeveen, L F, Fleuren, L M, Bosman, R J, van der Voort, P H J, Girbes, A R J, Mathot, R A A, Elbers, P W G & van Hasselt, J G C 2020, ' Optimizing Predictive Performance of Bayesian Forecasting for Vancomycin Concentration in Intensive Care Patients ', Pharmaceutical Research, vol. 37, no. 9, 171 . https://doi.org/10.1007/s11095-020-02908-7
Pharmaceutical Research
Pharmaceutical Research, 37, 171. SPRINGER/PLENUM PUBLISHERS
Pharmaceutical Research, 37(9):171. Springer New York
Pharmaceutical research, 37(9):171. Springer New York
Pharmaceutical Research
Pharmaceutical Research, 37, 171. SPRINGER/PLENUM PUBLISHERS
Pharmaceutical Research, 37(9):171. Springer New York
Pharmaceutical research, 37(9):171. Springer New York
PurposeBayesian forecasting is crucial for model-based dose optimization based on therapeutic drug monitoring (TDM) data of vancomycin in intensive care (ICU) patients. We aimed to evaluate the performance of Bayesian forecasting using maximum a post
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f204f4bca12c59fd5d5a27046d841bbc
https://hdl.handle.net/1887/3134984
https://hdl.handle.net/1887/3134984
Autor:
Ronald H. Driessen, Peter H. J. van der Voort, Tingjie Guo, Luca F. Roggeveen, Armand R. J. Girbes, Lucas M. Fleuren, Rob J. Bosman, Patrick Thoral, Paul W. G. Elbers
Publikováno v:
Frontiers in Pharmacology
Roggeveen, L F, Guo, T, Driessen, R H, Fleuren, L M, Thoral, P, van der Voort, P H J, Girbes, A R J, Bosman, R J & Elbers, P 2020, ' Right Dose, Right Now : Development of AutoKinetics for Real Time Model Informed Precision Antibiotic Dosing Decision Support at the Bedside of Critically Ill Patients ', Frontiers in Pharmacology, vol. 11, 646 . https://doi.org/10.3389/fphar.2020.00646
Frontiers in Pharmacology, Vol 11 (2020)
Frontiers in Pharmacology, 11:646. Frontiers Media S.A.
Roggeveen, L F, Guo, T, Driessen, R H, Fleuren, L M, Thoral, P, van der Voort, P H J, Girbes, A R J, Bosman, R J & Elbers, P 2020, ' Right Dose, Right Now : Development of AutoKinetics for Real Time Model Informed Precision Antibiotic Dosing Decision Support at the Bedside of Critically Ill Patients ', Frontiers in Pharmacology, vol. 11, 646 . https://doi.org/10.3389/fphar.2020.00646
Frontiers in Pharmacology, Vol 11 (2020)
Frontiers in Pharmacology, 11:646. Frontiers Media S.A.
Introduction: Antibiotic dosing in critically ill patients is challenging because their pharmacokinetics (PK) are altered and may change rapidly with disease progression. Standard dosing frequently leads to inadequate PK exposure. Therapeutic drug mo