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Prognostic model for traumatic death due to bleeding: cross-sectional international study
OBJECTIVE: To develop and validate a prognostic model and a simple model to predict death due to bleeding in trauma patients. DESIGN: Cross-sectional study with multivariable logistic regression using data from two large trauma cohorts. SETTING: 274 hospitals from 40 countries in the Clinical Random...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549712/ https://www.ncbi.nlm.nih.gov/pubmed/31142526 http://dx.doi.org/10.1136/bmjopen-2018-026823 |
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author | Ageron, Francois-Xavier Gayet-Ageron, Angele Steyerberg, Ewout Bouzat, Pierre Roberts, Ian |
author_facet | Ageron, Francois-Xavier Gayet-Ageron, Angele Steyerberg, Ewout Bouzat, Pierre Roberts, Ian |
author_sort | Ageron, Francois-Xavier |
collection | PubMed |
description | OBJECTIVE: To develop and validate a prognostic model and a simple model to predict death due to bleeding in trauma patients. DESIGN: Cross-sectional study with multivariable logistic regression using data from two large trauma cohorts. SETTING: 274 hospitals from 40 countries in the Clinical Randomisation of Anti-fibrinolytic in Significant Haemorrhage (CRASH-2) trial and 24 hospitals in the Northern French Alps Trauma registry. PARTICIPANTS: 13 485 trauma patients in the CRASH-2 trial and 9945 patients in the Northern French Alps Trauma registry who were admitted to hospital within 3 hours of injury. MAIN OUTCOME MEASURE: In-hospital death due to bleeding within 28 days. RESULTS: There were 815 (6%) deaths from bleeding in the CRASH-2 trial and 102 (1%) in the Northern French Alps Trauma registry. The full model included age, systolic blood pressure (SBP), Glasgow Coma Scale (GCS), heart rate, respiratory rate and type of injury (penetrating). The simple model included age, SBP and GCS. In a cross-validation procedure by country, discrimination and calibration were adequate (pooled C-statistic 0.85 (95% CI 0.81 to 0.88) for the full model and 0.84 (95% CI 0.80 to 0.88) for the simple model). CONCLUSION: This prognostic model can identify trauma patients at risk of death due to bleeding in a wide range of settings and can support prehospital triage and trauma audit, including audit of tranexamic acid use. |
format | Online Article Text |
id | pubmed-6549712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65497122019-06-21 Prognostic model for traumatic death due to bleeding: cross-sectional international study Ageron, Francois-Xavier Gayet-Ageron, Angele Steyerberg, Ewout Bouzat, Pierre Roberts, Ian BMJ Open Emergency Medicine OBJECTIVE: To develop and validate a prognostic model and a simple model to predict death due to bleeding in trauma patients. DESIGN: Cross-sectional study with multivariable logistic regression using data from two large trauma cohorts. SETTING: 274 hospitals from 40 countries in the Clinical Randomisation of Anti-fibrinolytic in Significant Haemorrhage (CRASH-2) trial and 24 hospitals in the Northern French Alps Trauma registry. PARTICIPANTS: 13 485 trauma patients in the CRASH-2 trial and 9945 patients in the Northern French Alps Trauma registry who were admitted to hospital within 3 hours of injury. MAIN OUTCOME MEASURE: In-hospital death due to bleeding within 28 days. RESULTS: There were 815 (6%) deaths from bleeding in the CRASH-2 trial and 102 (1%) in the Northern French Alps Trauma registry. The full model included age, systolic blood pressure (SBP), Glasgow Coma Scale (GCS), heart rate, respiratory rate and type of injury (penetrating). The simple model included age, SBP and GCS. In a cross-validation procedure by country, discrimination and calibration were adequate (pooled C-statistic 0.85 (95% CI 0.81 to 0.88) for the full model and 0.84 (95% CI 0.80 to 0.88) for the simple model). CONCLUSION: This prognostic model can identify trauma patients at risk of death due to bleeding in a wide range of settings and can support prehospital triage and trauma audit, including audit of tranexamic acid use. BMJ Publishing Group 2019-05-28 /pmc/articles/PMC6549712/ /pubmed/31142526 http://dx.doi.org/10.1136/bmjopen-2018-026823 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Emergency Medicine Ageron, Francois-Xavier Gayet-Ageron, Angele Steyerberg, Ewout Bouzat, Pierre Roberts, Ian Prognostic model for traumatic death due to bleeding: cross-sectional international study |
title | Prognostic model for traumatic death due to bleeding: cross-sectional international study |
title_full | Prognostic model for traumatic death due to bleeding: cross-sectional international study |
title_fullStr | Prognostic model for traumatic death due to bleeding: cross-sectional international study |
title_full_unstemmed | Prognostic model for traumatic death due to bleeding: cross-sectional international study |
title_short | Prognostic model for traumatic death due to bleeding: cross-sectional international study |
title_sort | prognostic model for traumatic death due to bleeding: cross-sectional international study |
topic | Emergency Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549712/ https://www.ncbi.nlm.nih.gov/pubmed/31142526 http://dx.doi.org/10.1136/bmjopen-2018-026823 |
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