Use of brain electrical activity to quantify traumatic brain injury in the emergency department

Brain Injury ◽  
2010 ◽  
Vol 24 (11) ◽  
pp. 1324-1329 ◽  
Author(s):  
Rosanne S. Naunheim ◽  
Matthew Treaster ◽  
Joy English ◽  
Teya Casner ◽  
Robert Chabot
Keyword(s):  
Traumatic Brain Injury ◽  
Emergency Department ◽  
Brain Injury ◽  
Electrical Activity ◽  
Brain Electrical Activity

scholarly journals A Brain Electrical Activity Electroencephalographic-Based Biomarker of Functional Impairment in Traumatic Brain Injury: A Multi-Site Validation Trial

2018 ◽  
Vol 35 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Daniel Hanley ◽  
Leslie S. Prichep ◽  
Neeraj Badjatia ◽  
Jeffrey Bazarian ◽  
Richard Chiacchierini ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Electrical Activity ◽  
Functional Impairment ◽  
Brain Electrical Activity

Diosmin improved cognitive deficit and amplified brain electrical activity in the rat model of traumatic brain injury

2017 ◽  
Vol 93 ◽  
pp. 1220-1229 ◽  
Author(s):  
Mohammad Ali Mirshekar ◽  
Hamed Fanaei ◽  
Fereshteh Keikhaei ◽  
Fatemeh Sargolzaee Javan
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Electrical Activity ◽  
Rat Model ◽  
Cognitive Deficit ◽  
Brain Electrical Activity

scholarly journals Identification of Hematomas in Mild Traumatic Brain Injury Using an Index of Quantitative Brain Electrical Activity

2015 ◽  
Vol 32 (1) ◽  
pp. 17-22 ◽  
Author(s):  
Leslie S. Prichep ◽  
Rosanne Naunheim ◽  
Jeffrey Bazarian ◽  
W. Andrew Mould ◽  
Daniel Hanley
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Electrical Activity ◽  
Mild Traumatic Brain Injury ◽  
Brain Electrical Activity

scholarly journals Use of Brain Electrical Activity for the Identification of Hematomas in Mild Traumatic Brain Injury

2013 ◽  
Vol 30 (24) ◽  
pp. 2051-2056 ◽  
Author(s):  
Daniel F. Hanley ◽  
Robert Chabot ◽  
W. Andrew Mould ◽  
Timothy Morgan ◽  
Rosanne Naunheim ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Electrical Activity ◽  
Mild Traumatic Brain Injury ◽  
Brain Electrical Activity

Divergence in the epidemiological estimates of traumatic brain injury in the United States: comparison of two national databases

2020 ◽  
pp. 1-10
Author(s):  
Brittany M. Stopa ◽  
Maya Harary ◽  
Ray Jhun ◽  
Arun Job ◽  
Saef Izzy ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Emergency Department ◽  
Brain Injury ◽  
Data Bank ◽  
The United States ◽  
National Sample ◽  
Population Based ◽  
Weighted Estimates ◽  
True Incidence ◽  
Ed Visits

OBJECTIVETraumatic brain injury (TBI) is a leading cause of morbidity and mortality in the US, but the true incidence of TBI is unknown.METHODSThe National Trauma Data Bank National Sample Program (NTDB NSP) was queried for 2007 and 2013, and population-based weighted estimates of TBI-related emergency department (ED) visits, hospitalizations, and deaths were calculated. These data were compared to the 2017 Centers for Disease Control and Prevention (CDC) report on TBI, which used the Healthcare Cost and Utilization Project’s National (“Nationwide” before 2012) Inpatient Sample and National Emergency Department Sample.RESULTSIn the NTDB NSP the incidence of TBI-related ED visits was 59/100,000 in 2007 and 62/100,000 in 2013. However, in the CDC report there were 534/100,000 in 2007 and 787/100,000 in 2013. The CDC estimate for ED visits was 805% higher in 2007 and 1169% higher in 2013. In the NTDB NSP, the incidence of TBI-related deaths was 5/100,000 in 2007 and 4/100,000 in 2013. In the CDC report, the incidence was 18/100,000 in both years. The CDC estimate for deaths was 260% higher in 2007 and 325% higher in 2013.CONCLUSIONSThe databases disagreed widely in their weighted estimates of TBI incidence: CDC estimates were consistently higher than NTDB NSP estimates, by an average of 448%. Although such a discrepancy may be intuitive, this is the first study to quantify the magnitude of disagreement between these databases. Given that research, funding, and policy decisions are made based on these estimates, there is a need for a more accurate estimate of the true national incidence of TBI.

scholarly journals Multisite medical record review of emergency department visits for traumatic brain injury

2021 ◽  
Vol 27 (S1) ◽  
pp. i42-i48
Author(s):  
Barbara A Gabella ◽  
Jeanne E Hathaway ◽  
Beth Hume ◽  
Jewell Johnson ◽  
Julia F Costich ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Emergency Department ◽  
Brain Injury ◽  
Skull Fracture ◽  
Signs And Symptoms ◽  
International Classification Of Diseases ◽  
Emergency Department Visits ◽  
Intracranial Injury ◽  
Imaging Results ◽  
Icd 10

BackgroundIn 2016, the CDC in the USA proposed codes from the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) for identifying traumatic brain injury (TBI). This study estimated positive predictive value (PPV) of TBI for some of these codes.MethodsFour study sites used emergency department or trauma records from 2015 to 2018 to identify two random samples within each site selected by ICD-10-CM TBI codes for (1) intracranial injury (S06) or (2) skull fracture only (S02.0, S02.1-, S02.8-, S02.91) with no other TBI codes. Using common protocols, reviewers abstracted TBI signs and symptoms and head imaging results that were then used to assign certainty of TBI (none, low, medium, high) to each sampled record. PPVs were estimated as a percentage of records with medium-certainty or high-certainty for TBI and reported with 95% confidence interval (CI).ResultsPPVs for intracranial injury codes ranged from 82% to 92% across the four samples. PPVs for skull fracture codes were 57% and 61% in the two university/trauma hospitals in each of two states with clinical reviewers, and 82% and 85% in the two states with professional coders reviewing statewide or nearly statewide samples. Margins of error for the 95% CI for all PPVs were under 5%.DiscussionICD-10-CM codes for traumatic intracranial injury demonstrated high PPVs for capturing true TBI in different healthcare settings. The algorithm for TBI certainty may need refinement, because it yielded moderate-to-high PPVs for records with skull fracture codes that lacked intracranial injury codes.

Bypassing the nearest emergency department for a more distant neurosurgical centre in traumatic brain injury patients

2020 ◽  
pp. 1-7
Author(s):  
Callum J. Prosser ◽  
David Edwards ◽  
Omar Boumara ◽  
Gordon Fuller ◽  
Damian Holliman ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Emergency Department ◽  
Brain Injury

scholarly journals Interrupted time series design to evaluate ICD-9-CM to ICD-10-CM coding changes on trends in Colorado emergency department visits related to traumatic brain injury

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Lauren Alexis De Crescenzo ◽  
Barbara Alison Gabella ◽  
Jewell Johnson
Keyword(s):  
Public Health ◽  
Traumatic Brain Injury ◽  
Emergency Department ◽  
Brain Injury ◽  
Interrupted Time Series ◽  
Emergency Department Visits ◽  
Control And Prevention ◽  
Icd 10 ◽  
Ed Visits ◽  
The Impact

Abstract Background The transition in 2015 to the Tenth Revision of the International Classification of Disease, Clinical Modification (ICD-10-CM) in the US led the Centers for Disease Control and Prevention (CDC) to propose a surveillance definition of traumatic brain injury (TBI) utilizing ICD-10-CM codes. The CDC’s proposed surveillance definition excludes “unspecified injury of the head,” previously included in the ICD-9-CM TBI surveillance definition. The study purpose was to evaluate the impact of the TBI surveillance definition change on monthly rates of TBI-related emergency department (ED) visits in Colorado from 2012 to 2017. Results The monthly rate of TBI-related ED visits was 55.6 visits per 100,000 persons in January 2012. This rate in the transition month to ICD-10-CM (October 2015) decreased by 41 visits per 100,000 persons (p-value < 0.0001), compared to September 2015, and remained low through December 2017, due to the exclusion of “unspecified injury of head” (ICD-10-CM code S09.90) in the proposed TBI definition. The average increase in the rate was 0.33 visits per month (p < 0.01) prior to October 2015, and 0.04 visits after. When S09.90 was included in the model, the monthly TBI rate in Colorado remained smooth from ICD-9-CM to ICD-10-CM and the transition was no longer significant (p = 0.97). Conclusion The reduction in the monthly TBI-related ED visit rate resulted from the CDC TBI surveillance definition excluding unspecified head injury, not necessarily the coding transition itself. Public health practitioners should be aware that the definition change could lead to a drastic reduction in the magnitude and trend of TBI-related ED visits, which could affect decisions regarding the allocation of TBI resources. This study highlights a challenge in creating a standardized set of TBI ICD-10-CM codes for public health surveillance that provides comparable yet clinically relevant estimates that span the ICD transition.

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