Optimal Prospective Predictors of Mortality in Austere Environments
Published by Elsevier Inc..
BACKGROUND: Prospective predictors of trauma-related outcomes have been validated to guide management in low-resource settings. The primary objective of this study was to determine the optimal prospective prediction method for mortality within combat and humanitarian trauma.
MATERIALS AND METHODS: Retrospective review of the Department of Defense Trauma Registry from 2008 to 2016 was performed for adult patients. Areas under receiver operating characteristic curves (AUROCs) were calculated to assess the predictability of shock index (SI), reverse SI × Glasgow Coma Scale (rSIG), SI × Glasgow Coma Scale (SIG), Revised Trauma Score, and Trauma and Injury Severity Score (TRISS) on mortality at point of injury, arrival in emergency department (ED), and the difference in vital signs between those time points.
RESULTS: A total of 22,218 patients were included. Overall, 97.1% were male, median age range 25-29 y, Injury Severity Score 9.4 ± 0.07, with predominantly penetrating injuries (58.1%), and mortality of 3.4%. ED vitals yielded higher predictability of mortality for all tests based on higher AUROCs. TRISS and rSIG demonstrated the highest AUROCs (0.955 and 0.923, respectively). The optimal cutoff value for rSIG was 14.1 (sensitivity 89% and specificity 87%). rSIG values <14.1 were significantly associated with mortality (P < 0.01; odds ratio = 5.901).
CONCLUSIONS: Initial ED vital signs represented a better predictor of early mortality compared with point of injury vital signs for all predictive tools assessed. TRISS and rSIG proved to be most predictive of mortality. However, of the prospective tools assessed, rSIG may be optimal scoring tool because of its ease of calculation and its increased ability to predict mortality.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:255 |
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| Enthalten in: |
The Journal of surgical research - 255(2020) vom: 01. Nov., Seite 297-303 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Lammers, Daniel [VerfasserIn] |
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| Links: |
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| Themen: |
Combat trauma |
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| Anmerkungen: |
Date Completed 30.11.2020 Date Revised 30.11.2020 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jss.2020.05.040 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM311637973 |
|---|
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| 500 | |a Date Revised 30.11.2020 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Published by Elsevier Inc. | ||
| 520 | |a BACKGROUND: Prospective predictors of trauma-related outcomes have been validated to guide management in low-resource settings. The primary objective of this study was to determine the optimal prospective prediction method for mortality within combat and humanitarian trauma | ||
| 520 | |a MATERIALS AND METHODS: Retrospective review of the Department of Defense Trauma Registry from 2008 to 2016 was performed for adult patients. Areas under receiver operating characteristic curves (AUROCs) were calculated to assess the predictability of shock index (SI), reverse SI × Glasgow Coma Scale (rSIG), SI × Glasgow Coma Scale (SIG), Revised Trauma Score, and Trauma and Injury Severity Score (TRISS) on mortality at point of injury, arrival in emergency department (ED), and the difference in vital signs between those time points | ||
| 520 | |a RESULTS: A total of 22,218 patients were included. Overall, 97.1% were male, median age range 25-29 y, Injury Severity Score 9.4 ± 0.07, with predominantly penetrating injuries (58.1%), and mortality of 3.4%. ED vitals yielded higher predictability of mortality for all tests based on higher AUROCs. TRISS and rSIG demonstrated the highest AUROCs (0.955 and 0.923, respectively). The optimal cutoff value for rSIG was 14.1 (sensitivity 89% and specificity 87%). rSIG values <14.1 were significantly associated with mortality (P < 0.01; odds ratio = 5.901) | ||
| 520 | |a CONCLUSIONS: Initial ED vital signs represented a better predictor of early mortality compared with point of injury vital signs for all predictive tools assessed. TRISS and rSIG proved to be most predictive of mortality. However, of the prospective tools assessed, rSIG may be optimal scoring tool because of its ease of calculation and its increased ability to predict mortality | ||
| 650 | 4 | |a Evaluation Study | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Combat trauma | |
| 650 | 4 | |a Reverse shock index | |
| 650 | 4 | |a Risk assessment | |
| 650 | 4 | |a Shock index | |
| 650 | 4 | |a Trauma mortality | |
| 650 | 4 | |a Trauma score | |
| 700 | 1 | |a Conner, Jeffrey |e verfasserin |4 aut | |
| 700 | 1 | |a Marenco, Chris |e verfasserin |4 aut | |
| 700 | 1 | |a Morte, Kaitlin |e verfasserin |4 aut | |
| 700 | 1 | |a Martin, Matthew |e verfasserin |4 aut | |
| 700 | 1 | |a Eckert, Matthew |e verfasserin |4 aut | |
| 700 | 1 | |a Bingham, Jason |e verfasserin |4 aut | |
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