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Longitudinal analysis of health status the first year after trauma in severely injured patients
PURPOSE: While survival rates after a trauma are increasing a considerable part of the trauma population are still at risk for both short and long term disabilities. Little is known about prognostic factors over time after a severe trauma. The aim of the present prospective cohort study was to exami...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169038/ https://www.ncbi.nlm.nih.gov/pubmed/32312282 http://dx.doi.org/10.1186/s13049-020-00719-8 |
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author | Havermans, Roos Johanna Maria de Jongh, Mariska Adriana Cornelia de Munter, Leonie Lansink, Koen Willem Wouter |
author_facet | Havermans, Roos Johanna Maria de Jongh, Mariska Adriana Cornelia de Munter, Leonie Lansink, Koen Willem Wouter |
author_sort | Havermans, Roos Johanna Maria |
collection | PubMed |
description | PURPOSE: While survival rates after a trauma are increasing a considerable part of the trauma population are still at risk for both short and long term disabilities. Little is known about prognostic factors over time after a severe trauma. The aim of the present prospective cohort study was to examine trauma and patient related prognostic factors for a lower health status over time after a severe trauma. METHODS: A multicentre prospective observational cohort study was conducted. Adult trauma patients with severe injuries (ISS ≥ 16) were included from August 2015 until November 2016 if admitted to one of the hospitals in Noord-Brabant (the Netherlands). Outcome measure was health status, measured by the EuroQol-5D (EQ-5D utility and EQ-Visual analogue scale) and the Health Utilities Index (HUI2 and HUI3) one week and one, three, six, and twelve months after injury. Patient and trauma characteristics were analysed as prognostic factors with linear mixed models. The effect of each prognostic factor over time was analysed by adding the interaction term between the prognostic factor and time point in a multivariable linear mixed model, adjusted for confounders. Additionally, the risk factors for problems in the EQ-5 dimensions of HS and cognition were analysed. RESULTS: In total 239 severely injured patients participated. Pre-injury health status, hospital length of stay, ISS and comorbidities were significant prognostic factors for a lower health status. A younger age and extremity injury were prognostic factors for a lower health status until one month after trauma and unemployment before trauma and comorbidities six until twelve months after trauma. In the EQ-5 dimensions 44.1% remained problems in mobility, 15.3% in self-care, 46.4% in activity, 53.3% in pain, 32.5% in anxiety and 35.7% in cognition. CONCLUSIONS: Lower pre-injury health status, longer hospital length of stay, higher ISS, and comorbidities were significant prognostic factors for a lower health status during one year after a severe injury. A younger age and an extremity injury were short-term prognostic factors and unemployment before trauma and comorbidities were long-term prognostic factors. Even after twelve months patients in our population reported more problems in all EQ-5D dimensions when compared to the Dutch reference population. |
format | Online Article Text |
id | pubmed-7169038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71690382020-04-23 Longitudinal analysis of health status the first year after trauma in severely injured patients Havermans, Roos Johanna Maria de Jongh, Mariska Adriana Cornelia de Munter, Leonie Lansink, Koen Willem Wouter Scand J Trauma Resusc Emerg Med Original Research PURPOSE: While survival rates after a trauma are increasing a considerable part of the trauma population are still at risk for both short and long term disabilities. Little is known about prognostic factors over time after a severe trauma. The aim of the present prospective cohort study was to examine trauma and patient related prognostic factors for a lower health status over time after a severe trauma. METHODS: A multicentre prospective observational cohort study was conducted. Adult trauma patients with severe injuries (ISS ≥ 16) were included from August 2015 until November 2016 if admitted to one of the hospitals in Noord-Brabant (the Netherlands). Outcome measure was health status, measured by the EuroQol-5D (EQ-5D utility and EQ-Visual analogue scale) and the Health Utilities Index (HUI2 and HUI3) one week and one, three, six, and twelve months after injury. Patient and trauma characteristics were analysed as prognostic factors with linear mixed models. The effect of each prognostic factor over time was analysed by adding the interaction term between the prognostic factor and time point in a multivariable linear mixed model, adjusted for confounders. Additionally, the risk factors for problems in the EQ-5 dimensions of HS and cognition were analysed. RESULTS: In total 239 severely injured patients participated. Pre-injury health status, hospital length of stay, ISS and comorbidities were significant prognostic factors for a lower health status. A younger age and extremity injury were prognostic factors for a lower health status until one month after trauma and unemployment before trauma and comorbidities six until twelve months after trauma. In the EQ-5 dimensions 44.1% remained problems in mobility, 15.3% in self-care, 46.4% in activity, 53.3% in pain, 32.5% in anxiety and 35.7% in cognition. CONCLUSIONS: Lower pre-injury health status, longer hospital length of stay, higher ISS, and comorbidities were significant prognostic factors for a lower health status during one year after a severe injury. A younger age and an extremity injury were short-term prognostic factors and unemployment before trauma and comorbidities were long-term prognostic factors. Even after twelve months patients in our population reported more problems in all EQ-5D dimensions when compared to the Dutch reference population. BioMed Central 2020-04-20 /pmc/articles/PMC7169038/ /pubmed/32312282 http://dx.doi.org/10.1186/s13049-020-00719-8 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Havermans, Roos Johanna Maria de Jongh, Mariska Adriana Cornelia de Munter, Leonie Lansink, Koen Willem Wouter Longitudinal analysis of health status the first year after trauma in severely injured patients |
title | Longitudinal analysis of health status the first year after trauma in severely injured patients |
title_full | Longitudinal analysis of health status the first year after trauma in severely injured patients |
title_fullStr | Longitudinal analysis of health status the first year after trauma in severely injured patients |
title_full_unstemmed | Longitudinal analysis of health status the first year after trauma in severely injured patients |
title_short | Longitudinal analysis of health status the first year after trauma in severely injured patients |
title_sort | longitudinal analysis of health status the first year after trauma in severely injured patients |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169038/ https://www.ncbi.nlm.nih.gov/pubmed/32312282 http://dx.doi.org/10.1186/s13049-020-00719-8 |
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