Predicting in-hospital mortality after traumatic brain injury: External validation of CRASH-basic and IMPACT-core in the national trauma data bank-Reference-Cited by-同舟云学术

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Predicting in-hospital mortality after traumatic brain injury: External validation of CRASH-basic and IMPACT-core in the national trauma data bank

Published:2021-02 Issue:2 Volume:52 Page:147-153
ISSN:0020-1383
Container-title:Injury
language:en
Short-container-title:Injury

Author:

Camarano Joseph G.,Ratliff Hunter T.,Korst Genevieve S.,Hrushka Jaron M.,Jupiter Daniel C.

Funder

American College of Surgeons

Publisher

Elsevier BV

Subject

Orthopedics and Sports Medicine,Emergency Medicine

Reference49 articles.

1. Estimating the global incidence of traumatic brain injury;Dewan;J Neurosurg,2019

2. Traumatic brain injury-related emergency department visits, hospitalizations, and deaths - United States, 2007 and 2013;Taylor;MMWR Surveill Summ,2017

3. Finkelstein E.A., Corso P.S., Miller T.R. The incidence and economic burden of injuries in the United States. 2009. https://doi.org/10.1093/acprof:oso/9780195179484.001.0001.

4. Epidemiology of traumatic brain injury;Faul;Handb. Clin. Neurol.,2015

5. External validation of the TRISS, CRASH, and IMPACT prognostic models in severe traumatic brain injury in Japan;Maeda;PLoS ONE,2019

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1. Assessing outcomes in traumatic brain injury: Helsinki score versus Glasgow coma scale;European Journal of Trauma and Emergency Surgery;2024-07-25

2. Immediate Operative Trauma Assessment Score: A Simple and Reliable Predictor of Mortality in Trauma Patients Undergoing Urgent/Emergent Surgery;The American Surgeon™;2024-04-19

3. A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department;Scientific Reports;2024-02-10

4. Prognosis at Your Fingertips: A Machine Learning-Based Web Application for Outcome Prediction in Acute Traumatic Epidural Hematoma;Journal of Neurotrauma;2024-01-01

5. Comparative analysis of CRASH and IMPACT in predicting the outcome of 340 patients with traumatic brain injury;Translational Neuroscience;2024-01-01

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