Marc J. M. Bonten
Utrecht University
664 Papers
2.8K Citations
Marc J. M. Bonten is an academic researcher from Utrecht University. The author has contributed to research in topics: Medicine & Intensive care. The author has an hindex of 88, co-authored 600 publications. Previous affiliations of Marc J. M. Bonten include University Medical Center Utrecht & Oklahoma State University Center for Health Sciences.
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Papers
Selective decontamination of the digestive tract. Benefit remains unproved.
TL;DR: Cyriax clearly describes how, by interpretation of the physical signs elicited by a systematic clinical examination, it is usually a straightforward matter to determine which part of the rotator cuff is at fault when pain arises from this structure; when this is done symptoms can be satisfactorily relieved by the accurate placement of a local steroid infiltration into the relevant tissue.
Rotavirus disease course among immunocompromised patients; 5-year observations from a tertiary care medical centre.
TL;DR: Routine rotavirus testing beyond infancy should be recommended for immunocompromised patients with suspected infectious gastroenteritis, as most adults with RVGE are immunocombromised compared to a much smaller proportion in children.
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The Diagnostic Yield of Routine Admission Blood Cultures in Critically Ill Patients.
Diana M. Verboom,Kirsten van de Groep,C H Edwin Boel,Pieter Jan Haas,Lennie P. G. Derde,Olaf L. Cremer,Marc J. M. Bonten +6 more
TL;DR: In this paper, the authors implemented routine blood culture collection for all nonelective ICU admissions (regardless of infection suspicion) and evaluated its diagnostic yield, which was associated with a 1.5-fold increase of detected bloodstream infection.
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Semiautomated surveillance of deep surgical site infections after colorectal surgeries: A multicenter external validation of two surveillance algorithms
Janneke D M Verberk,Tjallie I. I. van der Kooi,David J. Hetem,Nicolette Oostdam,Mieke Noordergraaf,Sabine C. de Greeff,Marc J. M. Bonten,Maaike S. M. van Mourik +7 more
TL;DR: In this independent external validation, both surveillance models performed well and the classification model is preferred above the regression model because of source-data availability and less complex data-management requirements.