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Prediction of sepsis in trauma patients
Trauma is one of the leading causes of death worldwide. Approximately 39.5% of deaths occur in the hospital, and the mortality rate of delayed death caused by septic complications is still high. Early prediction of the development of sepsis can help promote early intervention and treatment for patie...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012019/ https://www.ncbi.nlm.nih.gov/pubmed/27602370 http://dx.doi.org/10.4103/2321-3868.135479 |
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author | Jin, He Liu, Zheng Xiao, Ya Fan, Xia Yan, Jun Liang, Huaping |
author_facet | Jin, He Liu, Zheng Xiao, Ya Fan, Xia Yan, Jun Liang, Huaping |
author_sort | Jin, He |
collection | PubMed |
description | Trauma is one of the leading causes of death worldwide. Approximately 39.5% of deaths occur in the hospital, and the mortality rate of delayed death caused by septic complications is still high. Early prediction of the development of sepsis can help promote early intervention and treatment for patients and contribute to improving patient outcomes. Thus so far, biomarkers, patient demographics and injury characteristics are the main methods used for predicting sepsis in trauma patients. However, studies that verify their predictive value are limited, and the results are still controversial. More work should be conducted to explore more efficient and accurate ways to predict post-traumatic sepsis. |
format | Online Article Text |
id | pubmed-5012019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50120192016-09-07 Prediction of sepsis in trauma patients Jin, He Liu, Zheng Xiao, Ya Fan, Xia Yan, Jun Liang, Huaping Burns Trauma Review Article Trauma is one of the leading causes of death worldwide. Approximately 39.5% of deaths occur in the hospital, and the mortality rate of delayed death caused by septic complications is still high. Early prediction of the development of sepsis can help promote early intervention and treatment for patients and contribute to improving patient outcomes. Thus so far, biomarkers, patient demographics and injury characteristics are the main methods used for predicting sepsis in trauma patients. However, studies that verify their predictive value are limited, and the results are still controversial. More work should be conducted to explore more efficient and accurate ways to predict post-traumatic sepsis. BioMed Central 2014-07-28 /pmc/articles/PMC5012019/ /pubmed/27602370 http://dx.doi.org/10.4103/2321-3868.135479 Text en © Author 2014 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, 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 license, and indicate if changes were made |
spellingShingle | Review Article Jin, He Liu, Zheng Xiao, Ya Fan, Xia Yan, Jun Liang, Huaping Prediction of sepsis in trauma patients |
title | Prediction of sepsis in trauma patients |
title_full | Prediction of sepsis in trauma patients |
title_fullStr | Prediction of sepsis in trauma patients |
title_full_unstemmed | Prediction of sepsis in trauma patients |
title_short | Prediction of sepsis in trauma patients |
title_sort | prediction of sepsis in trauma patients |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012019/ https://www.ncbi.nlm.nih.gov/pubmed/27602370 http://dx.doi.org/10.4103/2321-3868.135479 |
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