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dc.contributor.authorCeyisakar, Iris
dc.contributor.authorHuijben, Jilske A.
dc.contributor.authorMaas, Andrew I. R.
dc.contributor.authorLingsma, Hester F.
dc.contributor.authorvan Leeuwen, Nikki
dc.contributor.authorAndelic, Nada
dc.contributor.authorAndreassen, Lasse
dc.contributor.authorAnke, Audny Gabriele Wagner
dc.contributor.authorFrisvold, Shirin
dc.contributor.authorHelseth, Eirik
dc.contributor.authorRøe, Cecilie
dc.contributor.authorRøise, Olav
dc.contributor.authorSkandsen, Toril
dc.contributor.authorVik, Anne
dc.contributor.authorÅkerlund, Cecilia
dc.contributor.authorAmrein, Krisztina
dc.contributor.authorAntoni, Anna
dc.contributor.authorAudibert, Gerard
dc.contributor.authorAzouvi, Philippe
dc.contributor.authorAzzolini, Maria luisa
dc.contributor.authorBartels, Ronald
dc.contributor.authorBarzo, Pal
dc.contributor.authorBeauvais, Romuald
dc.contributor.authorBeer, Ronny
dc.contributor.authorBellander, Bo-michael
dc.contributor.authorBelli, Antonio
dc.contributor.authorBenali, Habib
dc.contributor.authorBerardino, Maurizio
dc.contributor.authorBeretta, Luigi
dc.contributor.authorBlaabjerg, Morten
dc.contributor.authorBragge, Peter
dc.contributor.authorBrazinova, Alexandra
dc.contributor.authorBrinck, Vibeke
dc.contributor.authorBrooker, Joanne
dc.contributor.authorBrorsson, Camilla
dc.contributor.authorBuki, Andras
dc.contributor.authorBullinger, Monika
dc.contributor.authorCabeleira, Manuel
dc.contributor.authorCaccioppola, Alessio
dc.contributor.authorCalappi, Emiliana
dc.contributor.authorCalvi, Maria rosa
dc.contributor.authorCameron, Peter
dc.contributor.authorLozano, Guillermo carbayo
dc.contributor.authorCarbonara, Marco
dc.contributor.authorChevallard, Giorgio
dc.contributor.authorChieregato, Arturo
dc.contributor.authorCiterio, Giuseppe
dc.contributor.authorCnossen, Maryse
dc.contributor.authorCoburn, Mark
dc.identifier.citationNeurocritical Care. 2021, .en_US
dc.description.abstractBackground In traumatic brain injury (TBI), large between-center differences in treatment and outcome for patients managed in the intensive care unit (ICU) have been shown. The aim of this study is to explore if European neurotrauma centers can be clustered, based on their treatment preference in different domains of TBI care in the ICU. Methods Provider profiles of centers participating in the Collaborative European Neurotrauma Effectiveness Research in TBI study were used to assess correlations within and between the predefined domains: intracranial pressure monitoring, coagulation and transfusion, surgery, prophylactic antibiotics, and more general ICU treatment policies. Hierarchical clustering using Ward’s minimum variance method was applied to group data with the highest similarity. Heat maps were used to visualize whether hospitals could be grouped to uncover types of hospitals adhering to certain treatment strategies. Results Provider profiles were available from 66 centers in 20 different countries in Europe and Israel. Correlations within most of the predefined domains varied from low to high correlations (mean correlation coefficients 0.2–0.7). Correlations between domains were lower, with mean correlation coefficients of 0.2. Cluster analysis showed that policies could be grouped, but hospitals could not be grouped based on their preference. Conclusions Although correlations between treatment policies within domains were found, the failure to cluster hospitals indicates that a specific treatment choice within a domain is not a proxy for other treatment choices within or outside the domain. These results imply that studying the effects of specific TBI interventions on outcome can be based on between-center variation without being substantially confounded by other treatments.en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleCan We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences?en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.source.journalNeurocritical Careen_US

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