2018
DOI: 10.1136/tsaco-2017-000131
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Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality

Abstract: BackgroundPrior 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.MethodsAll patients (n=1427) enrolled in an ongoing prospective cohort study were included. Demographic, laboratory, and clinical data were recorded on admission. True random number gene… Show more

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Cited by 27 publications
(23 citation statements)
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“…Patients with intentional injury were more severely injured, had higher ISS, lower GCS and were more likely to be in shock in the emergency department. This is certainly consistent with preexisting models for predicting mortality, based on parameters such as ISS [4] .…”
Section: Discussionsupporting
confidence: 88%
See 1 more Smart Citation
“…Patients with intentional injury were more severely injured, had higher ISS, lower GCS and were more likely to be in shock in the emergency department. This is certainly consistent with preexisting models for predicting mortality, based on parameters such as ISS [4] .…”
Section: Discussionsupporting
confidence: 88%
“…There are several predictive models to identify risk factors for mortality in the context of trauma, such as Trauma Injury Severity Score (TRISS), Revised Trauma Score (RTS), and Injury Severity Score (ISS) [4]. Most of these models identify physiological parameters such as low GCS, presence of shock and on-going hemorrhage, or organ related injuries as potential risk factors for mortality [4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Base excess and ISS are well-known predictors of death in trauma patients [ 13 , 14 ] and our results underline once again their impact on mortality. In our analysis, BE was highlighted as a strong protective factor ( p = 0.008) for death, with a 7% drop of the risk per unitary increase.…”
Section: Discussionsupporting
confidence: 70%
“…[17,[23][24][25] One recent study proposed an early mortality prediction model for trauma patients based on clinical and laboratory values, as in the present study. [26] This model was simple and included some variables that were similar to those used in our study for trauma mortality prediction. However, that study evaluated the 28-day mortality, not 24-hour mortality.…”
Section: Discussionmentioning
confidence: 99%