Subbian, V; Ratcliff, J J; Korfhagen, J J; Hart, K W; Meunier, J M; Shaw, G J; Lindsell, C J; Beyette Jr., F R
A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up? Journal Article
In: Academic Emergency Medicine, vol. 23, no. 4, pp. 382–392, 2016.
Abstract | BibTeX | Tags: *Brain Injuries/co [Complications], *Emergency Service, *Post-Concussion Syndrome/di [Diagnosis], *Post-Concussion Syndrome/et [Etiology], *Robotics/mt [Methods], adult, Closed/co [Complications], Diagnostic Techniques, Female, Follow-Up Studies, Head Injuries, Hospital/og [Organization & Ad, Humans, Male, middle aged, Neurological, Observer Variation, Sensitivity and Specificity, Urban Population, Young Adult
@article{Subbian2016,
title = {A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?},
author = {Subbian, V and Ratcliff, J J and Korfhagen, J J and Hart, K W and Meunier, J M and Shaw, G J and Lindsell, C J and {Beyette Jr.}, F R},
year = {2016},
date = {2016-01-01},
journal = {Academic Emergency Medicine},
volume = {23},
number = {4},
pages = {382--392},
abstract = {OBJECTIVES: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically available method to reliably predict at the time of injury who will subsequently develop PCS. The purpose of this study was to determine if PCS following mild TBI can be predicted during the initial presentation to an emergency department (ED) using a novel robotic-assisted assessment of neurologic function. METHODS: All patients presenting to an urban ED with a chief complaint of head injury within the preceding 24 hours were screened for inclusion from March 2013 to April 2014. The enrollment criteria were as follows: 1) age of 18 years or greater, 2) ability and willingness to provide written informed consent, 3) blunt head trauma and clinical diagnosis of isolated mild TBI by the treating physician, and 4) blood alcohol level of \<100 mg/dL. Eligible mild TBI patients were enrolled and their neuromotor function was assessed in the ED using a battery of five tests that cover a range of proprioceptive, visuomotor, visuospatial, and executive function performance metrics. At 3 weeks postinjury, participants were contacted via telephone to complete the Rivermead Post-Concussion Symptoms Questionnaire to assess the presence of significant PCS. RESULTS: A total of 66 mild TBI patients were enrolled in the study with 42 of them completing both the ED assessment and the follow-up; 40 patients were included in the analyses. The area under the receiver operating characteristic curve (AUC) for the entire test battery was 0.72 (95% confidence interval [CI] = 0.54 to 0.90). The AUC for tests that primarily measure visuomotor and proprioceptive performance were 0.80 (95% CI = 0.65 to 0.95) and 0.71 (95% CI = 0.53 to 0.89), respectively. CONCLUSIONS: The robotic-assisted test battery has the ability to discriminate between subjects who developed PCS and those who did not. Additionally, poor visuomotor and proprioceptive performance were most strongly associated with subsequent PCS.Copyright © 2016 by the Society for Academic Emergency Medicine.},
keywords = {*Brain Injuries/co [Complications], *Emergency Service, *Post-Concussion Syndrome/di [Diagnosis], *Post-Concussion Syndrome/et [Etiology], *Robotics/mt [Methods], adult, Closed/co [Complications], Diagnostic Techniques, Female, Follow-Up Studies, Head Injuries, Hospital/og [Organization \& Ad, Humans, Male, middle aged, Neurological, Observer Variation, Sensitivity and Specificity, Urban Population, Young Adult},
pubstate = {published},
tppubtype = {article}
}
Stone Jr., M E; Safadjou, S; Farber, B; Velazco, N; Man, J; Reddy, S H; Todor, R; Teperman, S
Utility of the Military Acute Concussion Evaluation as a screening tool for mild traumatic brain injury in a civilian trauma population Journal Article
In: Journal of Trauma and Acute Care Surgery, vol. 79, no. 1, pp. 147–151, 2015.
Abstract | Links | BibTeX | Tags: Adolescent, adult, aged, Alcoholic Intoxication, amnesia, Article, assessment of humans, brain concussion, Brain Injuries, clinical assessment tool, computer assisted tomography, Concussion screening, Confounding Factors (Epidemiology), controlled study, DATA analysis, Demography, diagnostic test accuracy study, Dizziness, emergency health service, Female, Head, headache, hospital admission, human, Humans, injury severity, irritability, major clinical study, Male, middle aged, mild traumatic brain injury, Military Acute Concussion Evaluation, military medicine, nausea and vomiting, predictive value, priority journal, quality control, receiver operating characteristic, ROC Curve, screening test, Sensitivity and Specificity, traumatic brain injury, unconsciousness, Urban Population, visual disorder, Young Adult
@article{StoneJr.2015,
title = {Utility of the Military Acute Concussion Evaluation as a screening tool for mild traumatic brain injury in a civilian trauma population},
author = {{Stone Jr.}, M E and Safadjou, S and Farber, B and Velazco, N and Man, J and Reddy, S H and Todor, R and Teperman, S},
doi = {10.1097/TA.0000000000000679},
year = {2015},
date = {2015-01-01},
journal = {Journal of Trauma and Acute Care Surgery},
volume = {79},
number = {1},
pages = {147--151},
abstract = {BACKGROUND: Mild traumatic brain injury (mTBI) constitutes 75% of more than 1.5 million traumatic brain injuries annually. There exists no consensus on point-of-care screening for mTBI. The Military Acute Concussion Evaluation (MACE) is a quick and easy test used by the US Army to screen for mTBI; however, its utility in civilian trauma is unclear. It has two parts: a history section and the Standardized Assessment of Concussion (SAC) score (0-30) previously validated in sports injury. As a performance improvement project, our institution sought to evaluate the MACE as a concussion screening tool that could be used by housestaff in a general civilian trauma population. METHODS: From June 2013 to May 2014, patients 18 years to 65 years old with suspected concussion were given the MACE within 72 hours of admission to our urban Level I trauma center. Patients with a positive head computed tomography were excluded. Demographic data and MACE scores were recorded in prospect. Concussion was defined as loss of consciousness and/or posttraumatic amnesia; concussed patients were compared with those nonconcussed. Sensitivity and specificity for each respective MACE score were used to plot a receiver operating characteristic (ROC) curve. An ROC curve area of 0.8 was set as the benchmark for a good screening test to distinguish concussion from nonconcussion. RESULTS: There were 84 concussions and 30 nonconcussed patients. Both groups were similar; however, the concussion group had a lower mean MACE score than the nonconcussed patients. Data analysis demonstrated the sensitivity and specificity of a range of MACE scores used to generate an ROC curve area of only 0.65. CONCLUSION: The MACE showed a lower mean score for individuals with concussion, defined by loss of consciousness and/or posttraumatic amnesia. However, the ROC curve area of 0.65 highly suggests that MACE alone would be a poor screening test for mTBI in a general civilian trauma population. LEVEL OF EVIDENCE: Diagnostic study, level II. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.},
keywords = {Adolescent, adult, aged, Alcoholic Intoxication, amnesia, Article, assessment of humans, brain concussion, Brain Injuries, clinical assessment tool, computer assisted tomography, Concussion screening, Confounding Factors (Epidemiology), controlled study, DATA analysis, Demography, diagnostic test accuracy study, Dizziness, emergency health service, Female, Head, headache, hospital admission, human, Humans, injury severity, irritability, major clinical study, Male, middle aged, mild traumatic brain injury, Military Acute Concussion Evaluation, military medicine, nausea and vomiting, predictive value, priority journal, quality control, receiver operating characteristic, ROC Curve, screening test, Sensitivity and Specificity, traumatic brain injury, unconsciousness, Urban Population, visual disorder, Young Adult},
pubstate = {published},
tppubtype = {article}
}
Subbian, V; Ratcliff, J J; Korfhagen, J J; Hart, K W; Meunier, J M; Shaw, G J; Lindsell, C J; Beyette Jr., F R
A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up? Journal Article
In: Academic Emergency Medicine, vol. 23, no. 4, pp. 382–392, 2016.
@article{Subbian2016,
title = {A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?},
author = {Subbian, V and Ratcliff, J J and Korfhagen, J J and Hart, K W and Meunier, J M and Shaw, G J and Lindsell, C J and {Beyette Jr.}, F R},
year = {2016},
date = {2016-01-01},
journal = {Academic Emergency Medicine},
volume = {23},
number = {4},
pages = {382--392},
abstract = {OBJECTIVES: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically available method to reliably predict at the time of injury who will subsequently develop PCS. The purpose of this study was to determine if PCS following mild TBI can be predicted during the initial presentation to an emergency department (ED) using a novel robotic-assisted assessment of neurologic function. METHODS: All patients presenting to an urban ED with a chief complaint of head injury within the preceding 24 hours were screened for inclusion from March 2013 to April 2014. The enrollment criteria were as follows: 1) age of 18 years or greater, 2) ability and willingness to provide written informed consent, 3) blunt head trauma and clinical diagnosis of isolated mild TBI by the treating physician, and 4) blood alcohol level of \<100 mg/dL. Eligible mild TBI patients were enrolled and their neuromotor function was assessed in the ED using a battery of five tests that cover a range of proprioceptive, visuomotor, visuospatial, and executive function performance metrics. At 3 weeks postinjury, participants were contacted via telephone to complete the Rivermead Post-Concussion Symptoms Questionnaire to assess the presence of significant PCS. RESULTS: A total of 66 mild TBI patients were enrolled in the study with 42 of them completing both the ED assessment and the follow-up; 40 patients were included in the analyses. The area under the receiver operating characteristic curve (AUC) for the entire test battery was 0.72 (95% confidence interval [CI] = 0.54 to 0.90). The AUC for tests that primarily measure visuomotor and proprioceptive performance were 0.80 (95% CI = 0.65 to 0.95) and 0.71 (95% CI = 0.53 to 0.89), respectively. CONCLUSIONS: The robotic-assisted test battery has the ability to discriminate between subjects who developed PCS and those who did not. Additionally, poor visuomotor and proprioceptive performance were most strongly associated with subsequent PCS.Copyright © 2016 by the Society for Academic Emergency Medicine.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Stone Jr., M E; Safadjou, S; Farber, B; Velazco, N; Man, J; Reddy, S H; Todor, R; Teperman, S
Utility of the Military Acute Concussion Evaluation as a screening tool for mild traumatic brain injury in a civilian trauma population Journal Article
In: Journal of Trauma and Acute Care Surgery, vol. 79, no. 1, pp. 147–151, 2015.
@article{StoneJr.2015,
title = {Utility of the Military Acute Concussion Evaluation as a screening tool for mild traumatic brain injury in a civilian trauma population},
author = {{Stone Jr.}, M E and Safadjou, S and Farber, B and Velazco, N and Man, J and Reddy, S H and Todor, R and Teperman, S},
doi = {10.1097/TA.0000000000000679},
year = {2015},
date = {2015-01-01},
journal = {Journal of Trauma and Acute Care Surgery},
volume = {79},
number = {1},
pages = {147--151},
abstract = {BACKGROUND: Mild traumatic brain injury (mTBI) constitutes 75% of more than 1.5 million traumatic brain injuries annually. There exists no consensus on point-of-care screening for mTBI. The Military Acute Concussion Evaluation (MACE) is a quick and easy test used by the US Army to screen for mTBI; however, its utility in civilian trauma is unclear. It has two parts: a history section and the Standardized Assessment of Concussion (SAC) score (0-30) previously validated in sports injury. As a performance improvement project, our institution sought to evaluate the MACE as a concussion screening tool that could be used by housestaff in a general civilian trauma population. METHODS: From June 2013 to May 2014, patients 18 years to 65 years old with suspected concussion were given the MACE within 72 hours of admission to our urban Level I trauma center. Patients with a positive head computed tomography were excluded. Demographic data and MACE scores were recorded in prospect. Concussion was defined as loss of consciousness and/or posttraumatic amnesia; concussed patients were compared with those nonconcussed. Sensitivity and specificity for each respective MACE score were used to plot a receiver operating characteristic (ROC) curve. An ROC curve area of 0.8 was set as the benchmark for a good screening test to distinguish concussion from nonconcussion. RESULTS: There were 84 concussions and 30 nonconcussed patients. Both groups were similar; however, the concussion group had a lower mean MACE score than the nonconcussed patients. Data analysis demonstrated the sensitivity and specificity of a range of MACE scores used to generate an ROC curve area of only 0.65. CONCLUSION: The MACE showed a lower mean score for individuals with concussion, defined by loss of consciousness and/or posttraumatic amnesia. However, the ROC curve area of 0.65 highly suggests that MACE alone would be a poor screening test for mTBI in a general civilian trauma population. LEVEL OF EVIDENCE: Diagnostic study, level II. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Subbian, V; Ratcliff, J J; Korfhagen, J J; Hart, K W; Meunier, J M; Shaw, G J; Lindsell, C J; Beyette Jr., F R
A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up? Journal Article
In: Academic Emergency Medicine, vol. 23, no. 4, pp. 382–392, 2016.
Abstract | BibTeX | Tags: *Brain Injuries/co [Complications], *Emergency Service, *Post-Concussion Syndrome/di [Diagnosis], *Post-Concussion Syndrome/et [Etiology], *Robotics/mt [Methods], adult, Closed/co [Complications], Diagnostic Techniques, Female, Follow-Up Studies, Head Injuries, Hospital/og [Organization & Ad, Humans, Male, middle aged, Neurological, Observer Variation, Sensitivity and Specificity, Urban Population, Young Adult
@article{Subbian2016,
title = {A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?},
author = {Subbian, V and Ratcliff, J J and Korfhagen, J J and Hart, K W and Meunier, J M and Shaw, G J and Lindsell, C J and {Beyette Jr.}, F R},
year = {2016},
date = {2016-01-01},
journal = {Academic Emergency Medicine},
volume = {23},
number = {4},
pages = {382--392},
abstract = {OBJECTIVES: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically available method to reliably predict at the time of injury who will subsequently develop PCS. The purpose of this study was to determine if PCS following mild TBI can be predicted during the initial presentation to an emergency department (ED) using a novel robotic-assisted assessment of neurologic function. METHODS: All patients presenting to an urban ED with a chief complaint of head injury within the preceding 24 hours were screened for inclusion from March 2013 to April 2014. The enrollment criteria were as follows: 1) age of 18 years or greater, 2) ability and willingness to provide written informed consent, 3) blunt head trauma and clinical diagnosis of isolated mild TBI by the treating physician, and 4) blood alcohol level of \<100 mg/dL. Eligible mild TBI patients were enrolled and their neuromotor function was assessed in the ED using a battery of five tests that cover a range of proprioceptive, visuomotor, visuospatial, and executive function performance metrics. At 3 weeks postinjury, participants were contacted via telephone to complete the Rivermead Post-Concussion Symptoms Questionnaire to assess the presence of significant PCS. RESULTS: A total of 66 mild TBI patients were enrolled in the study with 42 of them completing both the ED assessment and the follow-up; 40 patients were included in the analyses. The area under the receiver operating characteristic curve (AUC) for the entire test battery was 0.72 (95% confidence interval [CI] = 0.54 to 0.90). The AUC for tests that primarily measure visuomotor and proprioceptive performance were 0.80 (95% CI = 0.65 to 0.95) and 0.71 (95% CI = 0.53 to 0.89), respectively. CONCLUSIONS: The robotic-assisted test battery has the ability to discriminate between subjects who developed PCS and those who did not. Additionally, poor visuomotor and proprioceptive performance were most strongly associated with subsequent PCS.Copyright © 2016 by the Society for Academic Emergency Medicine.},
keywords = {*Brain Injuries/co [Complications], *Emergency Service, *Post-Concussion Syndrome/di [Diagnosis], *Post-Concussion Syndrome/et [Etiology], *Robotics/mt [Methods], adult, Closed/co [Complications], Diagnostic Techniques, Female, Follow-Up Studies, Head Injuries, Hospital/og [Organization \& Ad, Humans, Male, middle aged, Neurological, Observer Variation, Sensitivity and Specificity, Urban Population, Young Adult},
pubstate = {published},
tppubtype = {article}
}
Stone Jr., M E; Safadjou, S; Farber, B; Velazco, N; Man, J; Reddy, S H; Todor, R; Teperman, S
Utility of the Military Acute Concussion Evaluation as a screening tool for mild traumatic brain injury in a civilian trauma population Journal Article
In: Journal of Trauma and Acute Care Surgery, vol. 79, no. 1, pp. 147–151, 2015.
Abstract | Links | BibTeX | Tags: Adolescent, adult, aged, Alcoholic Intoxication, amnesia, Article, assessment of humans, brain concussion, Brain Injuries, clinical assessment tool, computer assisted tomography, Concussion screening, Confounding Factors (Epidemiology), controlled study, DATA analysis, Demography, diagnostic test accuracy study, Dizziness, emergency health service, Female, Head, headache, hospital admission, human, Humans, injury severity, irritability, major clinical study, Male, middle aged, mild traumatic brain injury, Military Acute Concussion Evaluation, military medicine, nausea and vomiting, predictive value, priority journal, quality control, receiver operating characteristic, ROC Curve, screening test, Sensitivity and Specificity, traumatic brain injury, unconsciousness, Urban Population, visual disorder, Young Adult
@article{StoneJr.2015,
title = {Utility of the Military Acute Concussion Evaluation as a screening tool for mild traumatic brain injury in a civilian trauma population},
author = {{Stone Jr.}, M E and Safadjou, S and Farber, B and Velazco, N and Man, J and Reddy, S H and Todor, R and Teperman, S},
doi = {10.1097/TA.0000000000000679},
year = {2015},
date = {2015-01-01},
journal = {Journal of Trauma and Acute Care Surgery},
volume = {79},
number = {1},
pages = {147--151},
abstract = {BACKGROUND: Mild traumatic brain injury (mTBI) constitutes 75% of more than 1.5 million traumatic brain injuries annually. There exists no consensus on point-of-care screening for mTBI. The Military Acute Concussion Evaluation (MACE) is a quick and easy test used by the US Army to screen for mTBI; however, its utility in civilian trauma is unclear. It has two parts: a history section and the Standardized Assessment of Concussion (SAC) score (0-30) previously validated in sports injury. As a performance improvement project, our institution sought to evaluate the MACE as a concussion screening tool that could be used by housestaff in a general civilian trauma population. METHODS: From June 2013 to May 2014, patients 18 years to 65 years old with suspected concussion were given the MACE within 72 hours of admission to our urban Level I trauma center. Patients with a positive head computed tomography were excluded. Demographic data and MACE scores were recorded in prospect. Concussion was defined as loss of consciousness and/or posttraumatic amnesia; concussed patients were compared with those nonconcussed. Sensitivity and specificity for each respective MACE score were used to plot a receiver operating characteristic (ROC) curve. An ROC curve area of 0.8 was set as the benchmark for a good screening test to distinguish concussion from nonconcussion. RESULTS: There were 84 concussions and 30 nonconcussed patients. Both groups were similar; however, the concussion group had a lower mean MACE score than the nonconcussed patients. Data analysis demonstrated the sensitivity and specificity of a range of MACE scores used to generate an ROC curve area of only 0.65. CONCLUSION: The MACE showed a lower mean score for individuals with concussion, defined by loss of consciousness and/or posttraumatic amnesia. However, the ROC curve area of 0.65 highly suggests that MACE alone would be a poor screening test for mTBI in a general civilian trauma population. LEVEL OF EVIDENCE: Diagnostic study, level II. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.},
keywords = {Adolescent, adult, aged, Alcoholic Intoxication, amnesia, Article, assessment of humans, brain concussion, Brain Injuries, clinical assessment tool, computer assisted tomography, Concussion screening, Confounding Factors (Epidemiology), controlled study, DATA analysis, Demography, diagnostic test accuracy study, Dizziness, emergency health service, Female, Head, headache, hospital admission, human, Humans, injury severity, irritability, major clinical study, Male, middle aged, mild traumatic brain injury, Military Acute Concussion Evaluation, military medicine, nausea and vomiting, predictive value, priority journal, quality control, receiver operating characteristic, ROC Curve, screening test, Sensitivity and Specificity, traumatic brain injury, unconsciousness, Urban Population, visual disorder, Young Adult},
pubstate = {published},
tppubtype = {article}
}