M
M.S. Arbous
Researcher at Leiden University Medical Center
Publications - 17
Citations - 5236
M.S. Arbous is an academic researcher from Leiden University Medical Center. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 2, co-authored 2 publications receiving 3747 citations.
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Journal ArticleDOI
Incidence of thrombotic complications in critically ill ICU patients with COVID-19.
Frederikus A. Klok,Marieke J. H. A. Kruip,N.J.M. van der Meer,M.S. Arbous,Diederik Gommers,K.M. Kant,F H J Kaptein,J. van Paassen,M A M Stals,Menno V. Huisman,Henrik Endeman +10 more
TL;DR: The findings reinforce the recommendation to strictly apply pharmacological thrombosis prophylaxis in all COVID-19 patients admitted to the ICU, and are strongly suggestive of increasing the prophYLaxis towards high-prophylactic doses, even in the absence of randomized evidence.
Journal ArticleDOI
Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: An updated analysis.
Frederikus A. Klok,Marieke J. H. A. Kruip,N.J.M. van der Meer,M.S. Arbous,Diederik Gommers,K.M. Kant,F H J Kaptein,J. van Paassen,M A M Stals,Menno V. Huisman,Henrik Endeman +10 more
TL;DR: The very high cumulative incidence of thrombotic complications in critically ill patients with COVID-19 pneumonia is confirmed in this updated analysis.
Journal ArticleDOI
Characteristics and outcome of COVID-19 patients admitted to the ICU: a nationwide cohort study on the comparison between the first and the consecutive upsurges of the second wave of the COVID-19 pandemic in the Netherlands
Dave A. Dongelmans,Fabian Termorshuizen,Sylvia Brinkman,Ferishta Bakhshi-Raiez,M.S. Arbous,Dylan W. de Lange,Bas C T van Bussel,Nicolette F. de Keizer,Dirk Verbiest,Leo F te Velde,Erik M van Driel,Tom A. Rijpstra,Paul W. G. Elbers,Lyuba Georgieva,E. Joanne Verweij,Remko de Jong,Freya M. van Iersel,D. T. Koning,Els Rengers,Nuray Kusadasi,M. L. Erkamp,R Van den Berg,C J Jacobs,Jelle L. Epker,Annemieke Rijkeboer,Martha T. de Bruin,Peter E. Spronk,Annelies Draisma,D. J. Versluis,L. van den Berg,Marissa de Mos,Judith A Lens,D.J. Mehagnoul-Schipper,Diederik Gommers,Johan G Lutisan,Martijn Hoeksema,R. V. Pruijsten,Hans Kieft,Jan Rozendaal,Fleur Nooteboom,Dirk P. Boer,Inge Janssen,Laura van Gulik,Marjanca Koetsier,Vera Silderhuis,Ronny M. Schnabel,I Drogt,Wouter de Ruijter,Robert J. Bosman,Tim Frenzel,Louise C Urlings-Strop,Allard Dijkhuizen,Ilanit Z. Hené,Arthur R. de Meijer,Jessica W. M. Holtkamp,Nynke Postma,Alexander J. G. H. Bindels,R. M.J. Wesselink,Eline R. van Slobbe-Bijlsma,Peter H. J. van der Voort,Bob J.W. Eikemans,Michel G. W. Barnas,B. Festen-Spanjer,Maarten van Lieshout,N. Gritters,M. van Tellingen,G. Brunnekreef,Joyce Vandeputte,Tom Dormans,Marga E. Hoogendoorn,Mart J. de Graaff,D. L. J. Moolenaar,Auke C Reidinga,Jan Jaap Spijkstra,Ruud Al de Waal +74 more
TL;DR: In this article , the authors assess trends in the quality of care for COVID-19 patients at the ICU over the course of time in the Netherlands and find that the adjusted mortality decreased in the third wave.
Proceedings ArticleDOI
Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model
A. Hond,Ilse M. J. Kant,Mattia Fornasa,Giovanni Cinà,Paul W. G. Elbers,Patrick Thoral,M.S. Arbous,Ewout W. Steyerberg +7 more
TL;DR: In this article , the performance of an existing decision support tool based on a ML model predicting readmission or death within 7 days after ICU discharge before, during, and after retraining and recalibration was evaluated.
Journal ArticleDOI
Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands
Iacopo Vagliano,Sylvia Brinkman,Ameen Abu-Hanna,M.S. Arbous,Dave A. Dongelmans,Paul W. G. Elbers,Dylan W. de Lange,Maria van der Schaar,Nicolette F. de Keizer,Martijn C. Schut +9 more
TL;DR: In this paper , the predictive performance of automating the process of building ML models (AutoML) in-hospital mortality prediction modelling of triage COVID-19 patients at ICU admission versus expert-based predictor pre-selection followed by logistic regression was evaluated.