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Selection of CT variables and prognostic models for outcome prediction in patients with traumatic brain injury
BACKGROUND: Traumatic brain injuries (TBI) are associated with high risk of morbidity and mortality. Early outcome prediction in patients with TBI require reliable data input and stable prognostic models. The aim of this investigation was to analyze different CT classification systems and prognostic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285829/ https://www.ncbi.nlm.nih.gov/pubmed/34274009 http://dx.doi.org/10.1186/s13049-021-00901-6 |
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author | Khaki, Djino Hietanen, Virpi Corell, Alba Hergès, Helena Odenstedt Ljungqvist, Johan |
author_facet | Khaki, Djino Hietanen, Virpi Corell, Alba Hergès, Helena Odenstedt Ljungqvist, Johan |
author_sort | Khaki, Djino |
collection | PubMed |
description | BACKGROUND: Traumatic brain injuries (TBI) are associated with high risk of morbidity and mortality. Early outcome prediction in patients with TBI require reliable data input and stable prognostic models. The aim of this investigation was to analyze different CT classification systems and prognostic calculators in a representative population of TBI-patients, with known outcomes, in a neurointensive care unit (NICU), to identify the most suitable CT scoring system for continued research. MATERIALS AND METHODS: We retrospectively included 158 consecutive patients with TBI admitted to the NICU at a level 1 trauma center in Sweden from 2012 to 2016. Baseline data on admission was recorded, CT scans were reviewed, and patient outcome one year after trauma was assessed according to Glasgow Outcome Scale (GOS). The Marshall classification, Rotterdam scoring system, Helsinki CT score and Stockholm CT score were tested, in addition to the IMPACT and CRASH prognostic calculators. The results were then compared with the actual outcomes. RESULTS: Glasgow Coma Scale score on admission was 3–8 in 38%, 9–13 in 27.2%, and 14–15 in 34.8% of the patients. GOS after one year showed good recovery in 15.8%, moderate disability in 27.2%, severe disability in 24.7%, vegetative state in 1.3% and death in 29.7%. When adding the variables from the IMPACT base model to the CT scoring systems, the Stockholm CT score yielded the strongest relationship to actual outcome. The results from the prognostic calculators IMPACT and CRASH were divided into two subgroups of mortality (percentages); ≤50% (favorable outcome) and > 50% (unfavorable outcome). This yielded favorable IMPACT and CRASH scores in 54.4 and 38.0% respectively. CONCLUSION: The Stockholm CT score and the Helsinki score yielded the closest relationship between the models and the actual outcomes in this consecutive patient series, representative of a NICU TBI-population. Furthermore, the Stockholm CT score yielded the strongest overall relationship when adding variables from the IMPACT base model and would be our method of choice for continued research when using any of the current available CT score models. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13049-021-00901-6. |
format | Online Article Text |
id | pubmed-8285829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82858292021-07-19 Selection of CT variables and prognostic models for outcome prediction in patients with traumatic brain injury Khaki, Djino Hietanen, Virpi Corell, Alba Hergès, Helena Odenstedt Ljungqvist, Johan Scand J Trauma Resusc Emerg Med Original Research BACKGROUND: Traumatic brain injuries (TBI) are associated with high risk of morbidity and mortality. Early outcome prediction in patients with TBI require reliable data input and stable prognostic models. The aim of this investigation was to analyze different CT classification systems and prognostic calculators in a representative population of TBI-patients, with known outcomes, in a neurointensive care unit (NICU), to identify the most suitable CT scoring system for continued research. MATERIALS AND METHODS: We retrospectively included 158 consecutive patients with TBI admitted to the NICU at a level 1 trauma center in Sweden from 2012 to 2016. Baseline data on admission was recorded, CT scans were reviewed, and patient outcome one year after trauma was assessed according to Glasgow Outcome Scale (GOS). The Marshall classification, Rotterdam scoring system, Helsinki CT score and Stockholm CT score were tested, in addition to the IMPACT and CRASH prognostic calculators. The results were then compared with the actual outcomes. RESULTS: Glasgow Coma Scale score on admission was 3–8 in 38%, 9–13 in 27.2%, and 14–15 in 34.8% of the patients. GOS after one year showed good recovery in 15.8%, moderate disability in 27.2%, severe disability in 24.7%, vegetative state in 1.3% and death in 29.7%. When adding the variables from the IMPACT base model to the CT scoring systems, the Stockholm CT score yielded the strongest relationship to actual outcome. The results from the prognostic calculators IMPACT and CRASH were divided into two subgroups of mortality (percentages); ≤50% (favorable outcome) and > 50% (unfavorable outcome). This yielded favorable IMPACT and CRASH scores in 54.4 and 38.0% respectively. CONCLUSION: The Stockholm CT score and the Helsinki score yielded the closest relationship between the models and the actual outcomes in this consecutive patient series, representative of a NICU TBI-population. Furthermore, the Stockholm CT score yielded the strongest overall relationship when adding variables from the IMPACT base model and would be our method of choice for continued research when using any of the current available CT score models. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13049-021-00901-6. BioMed Central 2021-07-17 /pmc/articles/PMC8285829/ /pubmed/34274009 http://dx.doi.org/10.1186/s13049-021-00901-6 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Original Research Khaki, Djino Hietanen, Virpi Corell, Alba Hergès, Helena Odenstedt Ljungqvist, Johan Selection of CT variables and prognostic models for outcome prediction in patients with traumatic brain injury |
title | Selection of CT variables and prognostic models for outcome prediction in patients with traumatic brain injury |
title_full | Selection of CT variables and prognostic models for outcome prediction in patients with traumatic brain injury |
title_fullStr | Selection of CT variables and prognostic models for outcome prediction in patients with traumatic brain injury |
title_full_unstemmed | Selection of CT variables and prognostic models for outcome prediction in patients with traumatic brain injury |
title_short | Selection of CT variables and prognostic models for outcome prediction in patients with traumatic brain injury |
title_sort | selection of ct variables and prognostic models for outcome prediction in patients with traumatic brain injury |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285829/ https://www.ncbi.nlm.nih.gov/pubmed/34274009 http://dx.doi.org/10.1186/s13049-021-00901-6 |
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