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Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality
BACKGROUND: Prior mortality prediction models have incorporated severity of anatomic injury quantified by Abbreviated Injury Severity Score (AIS). Using a prospective cohort, a new score independent of AIS was developed using clinical and laboratory markers present on emergency department presentati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887834/ https://www.ncbi.nlm.nih.gov/pubmed/29766125 http://dx.doi.org/10.1136/tsaco-2017-000131 |
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author | Kunitake, Ryan C Kornblith, Lucy Z Cohen, Mitchell Jay Callcut, Rachael A |
author_facet | Kunitake, Ryan C Kornblith, Lucy Z Cohen, Mitchell Jay Callcut, Rachael A |
author_sort | Kunitake, Ryan C |
collection | PubMed |
description | BACKGROUND: Prior mortality prediction models have incorporated severity of anatomic injury quantified by Abbreviated Injury Severity Score (AIS). Using a prospective cohort, a new score independent of AIS was developed using clinical and laboratory markers present on emergency department presentation to predict 28-day mortality. METHODS: All patients (n=1427) enrolled in an ongoing prospective cohort study were included. Demographic, laboratory, and clinical data were recorded on admission. True random number generator technique divided the cohort into derivation (n=707) and validation groups (n=720). Using Youden indices, threshold values were selected for each potential predictor in the derivation cohort. Logistic regression was used to identify independent predictors. Significant variables were equally weighted to create a new mortality prediction score, the Trauma Early Mortality Prediction Tool (TEMPT) score. Area under the curve (AUC) was tested in the validation group. Pairwise comparison of Trauma Injury Severity Score (TRISS), Revised Trauma Score, Glasgow Coma Scale, and Injury Severity Score were tested against the TEMPT score. RESULTS: There was no difference between baseline characteristics between derivation and validation groups. In multiple logistic regression, a model with presence of traumatic brain injury, increased age, elevated systolic blood pressure, decreased base excess, prolonged partial thromboplastin time, increased international normalized ratio (INR), and decreased temperature accurately predicted mortality at 28 days (AUC 0.93, 95% CI 0.90 to 0.96, P<0.001). In the validation cohort, this score, termed TEMPT, predicted 28-day mortality with an AUC 0.94 (95% CI 0.92 to 0.97). The TEMPT score preformed similarly to the revised TRISS score for severely injured patients and was highly predictive in those having mild to moderate injury. DISCUSSION: TEMPT is a simple AIS-independent mortality prediction tool applicable very early following injury. TEMPT provides an AIS-independent score that could be used for early identification of those at risk of doing poorly following even minor injury. LEVEL OF EVIDENCE: Level II. |
format | Online Article Text |
id | pubmed-5887834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-58878342018-05-14 Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality Kunitake, Ryan C Kornblith, Lucy Z Cohen, Mitchell Jay Callcut, Rachael A Trauma Surg Acute Care Open Original Article BACKGROUND: Prior mortality prediction models have incorporated severity of anatomic injury quantified by Abbreviated Injury Severity Score (AIS). Using a prospective cohort, a new score independent of AIS was developed using clinical and laboratory markers present on emergency department presentation to predict 28-day mortality. METHODS: All patients (n=1427) enrolled in an ongoing prospective cohort study were included. Demographic, laboratory, and clinical data were recorded on admission. True random number generator technique divided the cohort into derivation (n=707) and validation groups (n=720). Using Youden indices, threshold values were selected for each potential predictor in the derivation cohort. Logistic regression was used to identify independent predictors. Significant variables were equally weighted to create a new mortality prediction score, the Trauma Early Mortality Prediction Tool (TEMPT) score. Area under the curve (AUC) was tested in the validation group. Pairwise comparison of Trauma Injury Severity Score (TRISS), Revised Trauma Score, Glasgow Coma Scale, and Injury Severity Score were tested against the TEMPT score. RESULTS: There was no difference between baseline characteristics between derivation and validation groups. In multiple logistic regression, a model with presence of traumatic brain injury, increased age, elevated systolic blood pressure, decreased base excess, prolonged partial thromboplastin time, increased international normalized ratio (INR), and decreased temperature accurately predicted mortality at 28 days (AUC 0.93, 95% CI 0.90 to 0.96, P<0.001). In the validation cohort, this score, termed TEMPT, predicted 28-day mortality with an AUC 0.94 (95% CI 0.92 to 0.97). The TEMPT score preformed similarly to the revised TRISS score for severely injured patients and was highly predictive in those having mild to moderate injury. DISCUSSION: TEMPT is a simple AIS-independent mortality prediction tool applicable very early following injury. TEMPT provides an AIS-independent score that could be used for early identification of those at risk of doing poorly following even minor injury. LEVEL OF EVIDENCE: Level II. BMJ Publishing Group 2018-01-08 /pmc/articles/PMC5887834/ /pubmed/29766125 http://dx.doi.org/10.1136/tsaco-2017-000131 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Original Article Kunitake, Ryan C Kornblith, Lucy Z Cohen, Mitchell Jay Callcut, Rachael A Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality |
title | Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality |
title_full | Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality |
title_fullStr | Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality |
title_full_unstemmed | Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality |
title_short | Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality |
title_sort | trauma early mortality prediction tool (tempt) for assessing 28-day mortality |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887834/ https://www.ncbi.nlm.nih.gov/pubmed/29766125 http://dx.doi.org/10.1136/tsaco-2017-000131 |
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