B
Bertil Bouillon
Researcher at University of Cologne
Publications - 93
Citations - 3153
Bertil Bouillon is an academic researcher from University of Cologne. The author has contributed to research in topics: Poison control & Injury Severity Score. The author has an hindex of 28, co-authored 89 publications receiving 2986 citations.
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This Provisional PDF corresponds to the article as it appeared upon acceptance. Copyedited and fully formatted PDF and full text (HTML) versions will be made available soon. Management of bleeding and coagulopathy following major trauma: an updated European guideline
Donat R. Spahn,Bertil Bouillon,Timothy J Coats,Jacques Duranteau,Enrique Fernández-Mondéjar,Daniela Filipescu,Beverley J. Hunt,Giuseppe Nardi,Edmund Neugebauer,Louis Riddez,Arthur Schultz,Jean Louis Vincent +11 more
TL;DR: In this article, the authors presented an updated version of the guideline published by the Task Force for Advanced Bleeding Care in Trauma and updated in 2010, which included new recommendations on the appropriate use of vasopressors and inotropic agents.
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“Advanced Trauma Life Support®” (ATLS®) und “Systematic Prehospital Life Support®” (SPLS®)
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Does the Mode of Data Collection Change Results in a Subjective Knee Score? Self-Administration Versus Interview
TL;DR: A comparison of the scores revealed that the mean score was significantly lower with self-administration and the major reason for a better score result with an interview was the presence of interview bias.
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Quality of life: an important endpoint both in surgical practice and research.
TL;DR: The role of information on functional capacity, overall well-being, and quality of life in the assessment of surgical outcomes is discussed, and the choice of endpoints beyond traditional, so-called "hard" variables in surgical studies has advantages for both surgeons and patients.
Predicting on-going hemorrhage and transfusion requirement after severe trauma: a validation of six scoring systems and algorithms on the
Thomas Brockamp,Ulrike Nienaber,Manuel Mutschler,Arasch Wafaisade,Sigune Peiniger,Rolf Lefering,Bertil Bouillon,M. Maegele +7 more
TL;DR: Weighted and more sophisticated systems such as TASH and PWH scores including higher numbers of variables perform superior over simple non-weighted models.