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Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences?
BACKGROUND: 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 d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110448/ https://www.ncbi.nlm.nih.gov/pubmed/34873673 http://dx.doi.org/10.1007/s12028-021-01386-y |
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author | Ceyisakar, Iris E. Huijben, Jilske A. Maas, Andrew I. R. Lingsma, Hester F. van Leeuwen, Nikki |
author_facet | Ceyisakar, Iris E. Huijben, Jilske A. Maas, Andrew I. R. Lingsma, Hester F. van Leeuwen, Nikki |
author_sort | Ceyisakar, Iris E. |
collection | PubMed |
description | BACKGROUND: 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. TRIAL REGISTRATION: We do not report the results of a health care intervention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12028-021-01386-y. |
format | Online Article Text |
id | pubmed-9110448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-91104482022-05-18 Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences? Ceyisakar, Iris E. Huijben, Jilske A. Maas, Andrew I. R. Lingsma, Hester F. van Leeuwen, Nikki Neurocrit Care Original Work BACKGROUND: 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. TRIAL REGISTRATION: We do not report the results of a health care intervention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12028-021-01386-y. Springer US 2021-12-06 2022 /pmc/articles/PMC9110448/ /pubmed/34873673 http://dx.doi.org/10.1007/s12028-021-01386-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Work Ceyisakar, Iris E. Huijben, Jilske A. Maas, Andrew I. R. Lingsma, Hester F. van Leeuwen, Nikki Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences? |
title | Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences? |
title_full | Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences? |
title_fullStr | Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences? |
title_full_unstemmed | Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences? |
title_short | Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences? |
title_sort | can we cluster icu treatment strategies for traumatic brain injury by hospital treatment preferences? |
topic | Original Work |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110448/ https://www.ncbi.nlm.nih.gov/pubmed/34873673 http://dx.doi.org/10.1007/s12028-021-01386-y |
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