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Temporal patterns of organ dysfunction after severe trauma

BACKGROUND: Understanding temporal patterns of organ dysfunction (OD) may aid early recognition of complications after trauma and assist timing and modality of treatment strategies. Our aim was to analyse and characterise temporal patterns of OD in intensive care unit-admitted trauma patients. METHO...

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Autores principales: Eriksson, Jesper, Nelson, David, Holst, Anders, Hellgren, Elisabeth, Friman, Ola, Oldner, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101241/
https://www.ncbi.nlm.nih.gov/pubmed/33952314
http://dx.doi.org/10.1186/s13054-021-03586-6
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author Eriksson, Jesper
Nelson, David
Holst, Anders
Hellgren, Elisabeth
Friman, Ola
Oldner, Anders
author_facet Eriksson, Jesper
Nelson, David
Holst, Anders
Hellgren, Elisabeth
Friman, Ola
Oldner, Anders
author_sort Eriksson, Jesper
collection PubMed
description BACKGROUND: Understanding temporal patterns of organ dysfunction (OD) may aid early recognition of complications after trauma and assist timing and modality of treatment strategies. Our aim was to analyse and characterise temporal patterns of OD in intensive care unit-admitted trauma patients. METHODS: We used group-based trajectory modelling to identify temporal trajectories of OD after trauma. Modelling was based on the joint development of all six subdomains comprising the sequential organ failure assessment score measured daily during the first two weeks post trauma. Further, the time for trajectories to stabilise and transition to final group assignments were evaluated. RESULTS: Six-hundred and sixty patients were included in the final model. Median age was 40 years, and median ISS was 26 (IQR 17–38). We identified five distinct trajectories of OD. Group 1, mild OD (n = 300), median ISS of 20 (IQR 14–27), had an early resolution of OD and a low mortality. Group 2, moderate OD (n = 135), and group 3, severe OD (n = 87), were fairly similar in admission characteristics and initial OD but differed in subsequent OD trajectories, the latter experiencing an extended course and higher mortality. In group 3, 56% of the patients developed sepsis as compared with 19% in group 2. Group 4, extreme OD (n = 40), received most blood transfusions, had the highest proportion of shock at admission and a median ISS of 41 (IQR 29–50). They experienced significant and sustained OD affecting all organ systems and a 28-day mortality of 30%. Group 5, traumatic brain injury with OD (n = 98), had the highest mortality of 35% and the shortest time to death for non-survivors, median 3.5 (IQR 2.4–4.8) days. Groups 1 and 5 reached their final group assignment early, > 80% of the patients within 48 h. In contrast, groups 2 and 3 had a prolonged time to final group assignment. CONCLUSIONS: We identified five distinct trajectories of OD after severe trauma during the first two weeks post-trauma. Our findings underline the heterogeneous course after trauma and describe some potentially important clinical insights that are suggested by the groupings and temporal trajectories. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03586-6.
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spelling pubmed-81012412021-05-06 Temporal patterns of organ dysfunction after severe trauma Eriksson, Jesper Nelson, David Holst, Anders Hellgren, Elisabeth Friman, Ola Oldner, Anders Crit Care Research BACKGROUND: Understanding temporal patterns of organ dysfunction (OD) may aid early recognition of complications after trauma and assist timing and modality of treatment strategies. Our aim was to analyse and characterise temporal patterns of OD in intensive care unit-admitted trauma patients. METHODS: We used group-based trajectory modelling to identify temporal trajectories of OD after trauma. Modelling was based on the joint development of all six subdomains comprising the sequential organ failure assessment score measured daily during the first two weeks post trauma. Further, the time for trajectories to stabilise and transition to final group assignments were evaluated. RESULTS: Six-hundred and sixty patients were included in the final model. Median age was 40 years, and median ISS was 26 (IQR 17–38). We identified five distinct trajectories of OD. Group 1, mild OD (n = 300), median ISS of 20 (IQR 14–27), had an early resolution of OD and a low mortality. Group 2, moderate OD (n = 135), and group 3, severe OD (n = 87), were fairly similar in admission characteristics and initial OD but differed in subsequent OD trajectories, the latter experiencing an extended course and higher mortality. In group 3, 56% of the patients developed sepsis as compared with 19% in group 2. Group 4, extreme OD (n = 40), received most blood transfusions, had the highest proportion of shock at admission and a median ISS of 41 (IQR 29–50). They experienced significant and sustained OD affecting all organ systems and a 28-day mortality of 30%. Group 5, traumatic brain injury with OD (n = 98), had the highest mortality of 35% and the shortest time to death for non-survivors, median 3.5 (IQR 2.4–4.8) days. Groups 1 and 5 reached their final group assignment early, > 80% of the patients within 48 h. In contrast, groups 2 and 3 had a prolonged time to final group assignment. CONCLUSIONS: We identified five distinct trajectories of OD after severe trauma during the first two weeks post-trauma. Our findings underline the heterogeneous course after trauma and describe some potentially important clinical insights that are suggested by the groupings and temporal trajectories. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03586-6. BioMed Central 2021-05-05 /pmc/articles/PMC8101241/ /pubmed/33952314 http://dx.doi.org/10.1186/s13054-021-03586-6 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 Research
Eriksson, Jesper
Nelson, David
Holst, Anders
Hellgren, Elisabeth
Friman, Ola
Oldner, Anders
Temporal patterns of organ dysfunction after severe trauma
title Temporal patterns of organ dysfunction after severe trauma
title_full Temporal patterns of organ dysfunction after severe trauma
title_fullStr Temporal patterns of organ dysfunction after severe trauma
title_full_unstemmed Temporal patterns of organ dysfunction after severe trauma
title_short Temporal patterns of organ dysfunction after severe trauma
title_sort temporal patterns of organ dysfunction after severe trauma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101241/
https://www.ncbi.nlm.nih.gov/pubmed/33952314
http://dx.doi.org/10.1186/s13054-021-03586-6
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