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TBI surveillance using the common data elements for traumatic brain injury: a population study

BACKGROUND: To characterize the patterns of presentation of adults with head injury to the Emergency Department. METHODS: This is a cohort study that sought to collect injury and outcome variables with the goal of characterizing the very early natural history of traumatic brain injury in adults. Thi...

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Autores principales: Stead, Latha Ganti, Bodhit, Aakash N, Patel, Pratik Shashikant, Daneshvar, Yasamin, Peters, Keith R, Mazzuoccolo, Anna, Kuchibhotla, Sudeep, Pulvino, Christa, Hatchitt, Kelsey, Lottenberg, Lawrence, Elie-Turenne, Marie-Carmelle, Hoelle, Robyn M, Vedula, Abhijna, Gabrielli, Andrea, Miller, Bayard D, Slish, John H, Falgiani, Michael, Falgiani, Tricia, Tyndall, J Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599047/
https://www.ncbi.nlm.nih.gov/pubmed/23445771
http://dx.doi.org/10.1186/1865-1380-6-5
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author Stead, Latha Ganti
Bodhit, Aakash N
Patel, Pratik Shashikant
Daneshvar, Yasamin
Peters, Keith R
Mazzuoccolo, Anna
Kuchibhotla, Sudeep
Pulvino, Christa
Hatchitt, Kelsey
Lottenberg, Lawrence
Elie-Turenne, Marie-Carmelle
Hoelle, Robyn M
Vedula, Abhijna
Gabrielli, Andrea
Miller, Bayard D
Slish, John H
Falgiani, Michael
Falgiani, Tricia
Tyndall, J Adrian
author_facet Stead, Latha Ganti
Bodhit, Aakash N
Patel, Pratik Shashikant
Daneshvar, Yasamin
Peters, Keith R
Mazzuoccolo, Anna
Kuchibhotla, Sudeep
Pulvino, Christa
Hatchitt, Kelsey
Lottenberg, Lawrence
Elie-Turenne, Marie-Carmelle
Hoelle, Robyn M
Vedula, Abhijna
Gabrielli, Andrea
Miller, Bayard D
Slish, John H
Falgiani, Michael
Falgiani, Tricia
Tyndall, J Adrian
author_sort Stead, Latha Ganti
collection PubMed
description BACKGROUND: To characterize the patterns of presentation of adults with head injury to the Emergency Department. METHODS: This is a cohort study that sought to collect injury and outcome variables with the goal of characterizing the very early natural history of traumatic brain injury in adults. This IRB-approved project was conducted in collaboration with our Institution’s Center for Translational Science Institute. Data were entered in REDCap, a secure database. Statistical analyses were performed using JMP 10.0 pro for Windows. RESULTS: The cohort consisted of 2,394 adults, with 40% being women and 79% Caucasian. The most common mechanism was fall (47%) followed by motor vehicle collision (MVC) (36%). Patients sustaining an MVC were significantly younger than those whose head injury was secondary to a fall (P < 0.0001). Ninety-one percent had CT imaging; hemorrhage was significantly more likely with worse severity as measured by the Glasgow Coma Score (chi-square, P < 0.0001). Forty-four percent were admitted to the hospital, with half requiring ICU admission. In-hospital death was observed in 5.4%, while neurosurgical intervention was required in 8%. For all outcomes, worse TBI severity per GCS was significantly associated with worse outcomes (logistic regression, P < 0.0001, adjusted for age). CONCLUSION: These cohort data highlight the burden of TBI in the Emergency Department and provide important demographic trends for further research.
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spelling pubmed-35990472013-03-20 TBI surveillance using the common data elements for traumatic brain injury: a population study Stead, Latha Ganti Bodhit, Aakash N Patel, Pratik Shashikant Daneshvar, Yasamin Peters, Keith R Mazzuoccolo, Anna Kuchibhotla, Sudeep Pulvino, Christa Hatchitt, Kelsey Lottenberg, Lawrence Elie-Turenne, Marie-Carmelle Hoelle, Robyn M Vedula, Abhijna Gabrielli, Andrea Miller, Bayard D Slish, John H Falgiani, Michael Falgiani, Tricia Tyndall, J Adrian Int J Emerg Med Original Research BACKGROUND: To characterize the patterns of presentation of adults with head injury to the Emergency Department. METHODS: This is a cohort study that sought to collect injury and outcome variables with the goal of characterizing the very early natural history of traumatic brain injury in adults. This IRB-approved project was conducted in collaboration with our Institution’s Center for Translational Science Institute. Data were entered in REDCap, a secure database. Statistical analyses were performed using JMP 10.0 pro for Windows. RESULTS: The cohort consisted of 2,394 adults, with 40% being women and 79% Caucasian. The most common mechanism was fall (47%) followed by motor vehicle collision (MVC) (36%). Patients sustaining an MVC were significantly younger than those whose head injury was secondary to a fall (P < 0.0001). Ninety-one percent had CT imaging; hemorrhage was significantly more likely with worse severity as measured by the Glasgow Coma Score (chi-square, P < 0.0001). Forty-four percent were admitted to the hospital, with half requiring ICU admission. In-hospital death was observed in 5.4%, while neurosurgical intervention was required in 8%. For all outcomes, worse TBI severity per GCS was significantly associated with worse outcomes (logistic regression, P < 0.0001, adjusted for age). CONCLUSION: These cohort data highlight the burden of TBI in the Emergency Department and provide important demographic trends for further research. Springer 2013-02-27 /pmc/articles/PMC3599047/ /pubmed/23445771 http://dx.doi.org/10.1186/1865-1380-6-5 Text en Copyright ©2013 Stead et al; licensee Springer. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Stead, Latha Ganti
Bodhit, Aakash N
Patel, Pratik Shashikant
Daneshvar, Yasamin
Peters, Keith R
Mazzuoccolo, Anna
Kuchibhotla, Sudeep
Pulvino, Christa
Hatchitt, Kelsey
Lottenberg, Lawrence
Elie-Turenne, Marie-Carmelle
Hoelle, Robyn M
Vedula, Abhijna
Gabrielli, Andrea
Miller, Bayard D
Slish, John H
Falgiani, Michael
Falgiani, Tricia
Tyndall, J Adrian
TBI surveillance using the common data elements for traumatic brain injury: a population study
title TBI surveillance using the common data elements for traumatic brain injury: a population study
title_full TBI surveillance using the common data elements for traumatic brain injury: a population study
title_fullStr TBI surveillance using the common data elements for traumatic brain injury: a population study
title_full_unstemmed TBI surveillance using the common data elements for traumatic brain injury: a population study
title_short TBI surveillance using the common data elements for traumatic brain injury: a population study
title_sort tbi surveillance using the common data elements for traumatic brain injury: a population study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599047/
https://www.ncbi.nlm.nih.gov/pubmed/23445771
http://dx.doi.org/10.1186/1865-1380-6-5
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