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Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models

BACKGROUND: A major challenge in management of traumatic brain injury (TBI) is to assess the heterogeneity of TBI pathology and outcome prediction. A reliable outcome prediction would have both great value for the healthcare provider, but also for the patients and their relatives. A well-known predi...

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Autores principales: Rostami, Elham, Gustafsson, David, Hånell, Anders, Howells, Timothy, Lenell, Samuel, Lewén, Anders, Enblad, Per
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913528/
https://www.ncbi.nlm.nih.gov/pubmed/34936014
http://dx.doi.org/10.1007/s00701-021-05040-6
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author Rostami, Elham
Gustafsson, David
Hånell, Anders
Howells, Timothy
Lenell, Samuel
Lewén, Anders
Enblad, Per
author_facet Rostami, Elham
Gustafsson, David
Hånell, Anders
Howells, Timothy
Lenell, Samuel
Lewén, Anders
Enblad, Per
author_sort Rostami, Elham
collection PubMed
description BACKGROUND: A major challenge in management of traumatic brain injury (TBI) is to assess the heterogeneity of TBI pathology and outcome prediction. A reliable outcome prediction would have both great value for the healthcare provider, but also for the patients and their relatives. A well-known prediction model is the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) prognostic calculator. The aim of this study was to externally validate all three modules of the IMPACT calculator on TBI patients admitted to Uppsala University hospital (UUH). METHOD: TBI patients admitted to UUH are continuously enrolled into the Uppsala neurointensive care unit (NICU) TBI Uppsala Clinical Research (UCR) quality register. The register contains both clinical and demographic data, radiological evaluations, and outcome assessments based on the extended Glasgow outcome scale extended (GOSE) performed at 6 months to 1 year. In this study, we included 635 patients with severe TBI admitted during 2008–2020. We used IMPACT core parameters: age, motor score, and pupillary reaction. RESULTS: The patients had a median age of 56 (range 18–93), 142 female and 478 male. Using the IMPACT Core model to predict outcome resulted in an AUC of 0.85 for mortality and 0.79 for unfavorable outcome. The CT module did not increase AUC for mortality and slightly decreased AUC for unfavorable outcome to 0.78. However, the lab module increased AUC for mortality to 0.89 but slightly decreased for unfavorable outcome to 0.76. Comparing the predicted risk to actual outcomes, we found that all three models correctly predicted low risk of mortality in the surviving group of GOSE 2–8. However, it produced a greater variance of predicted risk in the GOSE 1 group, denoting general underprediction of risk. Regarding unfavorable outcome, all models once again underestimated the risk in the GOSE 3–4 groups, but correctly predicts low risk in GOSE 5–8. CONCLUSIONS: The results of our study are in line with previous findings from centers with modern TBI care using the IMPACT model, in that the model provides adequate prediction for mortality and unfavorable outcome. However, it should be noted that the prediction is limited to 6 months outcome and not longer time interval.
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spelling pubmed-89135282022-03-15 Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models Rostami, Elham Gustafsson, David Hånell, Anders Howells, Timothy Lenell, Samuel Lewén, Anders Enblad, Per Acta Neurochir (Wien) Original Article - Brain trauma BACKGROUND: A major challenge in management of traumatic brain injury (TBI) is to assess the heterogeneity of TBI pathology and outcome prediction. A reliable outcome prediction would have both great value for the healthcare provider, but also for the patients and their relatives. A well-known prediction model is the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) prognostic calculator. The aim of this study was to externally validate all three modules of the IMPACT calculator on TBI patients admitted to Uppsala University hospital (UUH). METHOD: TBI patients admitted to UUH are continuously enrolled into the Uppsala neurointensive care unit (NICU) TBI Uppsala Clinical Research (UCR) quality register. The register contains both clinical and demographic data, radiological evaluations, and outcome assessments based on the extended Glasgow outcome scale extended (GOSE) performed at 6 months to 1 year. In this study, we included 635 patients with severe TBI admitted during 2008–2020. We used IMPACT core parameters: age, motor score, and pupillary reaction. RESULTS: The patients had a median age of 56 (range 18–93), 142 female and 478 male. Using the IMPACT Core model to predict outcome resulted in an AUC of 0.85 for mortality and 0.79 for unfavorable outcome. The CT module did not increase AUC for mortality and slightly decreased AUC for unfavorable outcome to 0.78. However, the lab module increased AUC for mortality to 0.89 but slightly decreased for unfavorable outcome to 0.76. Comparing the predicted risk to actual outcomes, we found that all three models correctly predicted low risk of mortality in the surviving group of GOSE 2–8. However, it produced a greater variance of predicted risk in the GOSE 1 group, denoting general underprediction of risk. Regarding unfavorable outcome, all models once again underestimated the risk in the GOSE 3–4 groups, but correctly predicts low risk in GOSE 5–8. CONCLUSIONS: The results of our study are in line with previous findings from centers with modern TBI care using the IMPACT model, in that the model provides adequate prediction for mortality and unfavorable outcome. However, it should be noted that the prediction is limited to 6 months outcome and not longer time interval. Springer Vienna 2021-12-22 2022 /pmc/articles/PMC8913528/ /pubmed/34936014 http://dx.doi.org/10.1007/s00701-021-05040-6 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/) .
spellingShingle Original Article - Brain trauma
Rostami, Elham
Gustafsson, David
Hånell, Anders
Howells, Timothy
Lenell, Samuel
Lewén, Anders
Enblad, Per
Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models
title Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models
title_full Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models
title_fullStr Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models
title_full_unstemmed Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models
title_short Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models
title_sort prognosis in moderate-severe traumatic brain injury in a swedish cohort and external validation of the impact models
topic Original Article - Brain trauma
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913528/
https://www.ncbi.nlm.nih.gov/pubmed/34936014
http://dx.doi.org/10.1007/s00701-021-05040-6
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