scholarly journals A case report of an unexpected traumatic brain injury following severe child abuse

2019 ◽  
Vol 6 (2) ◽  
pp. 109-111
Author(s):  
Seyed Reza Habibzadeh ◽  
Ehsan Bolvardi ◽  
Esmail Rayat Dost ◽  
Mahdi Foroughian
Keyword(s):  
Traumatic Brain Injury ◽  
Emergency Department ◽  
Child Abuse ◽  
Brain Injury ◽  
Blood Glucose Control ◽  
Pressure Control ◽  
Preperitoneal Space ◽  
Secondary Brain Injury ◽  
Arterial Blood ◽  
The Right

Introduction: Child abuse has been defined as allowing others to cause physical, emotional, and sexual harm, and also physical and emotional pain to a child. The present study was a report on a case of physical and sexual child abuse accompanied by traumatic brain injury (TBI) referred to an emergency department. Case Presentation: A 4-year-old child was rushed into an emergency department by her mother. At the time of hospital admission, the child was feeling confused and drowsy and had symptoms of hemorrhage in the right preperitoneal space as well as bleeding from the mouth. According to the pattern of the child’s admission to the emergency department, contradictory descriptions by parents, clinical examinations, and TBI pattern; the probability of a case of child abuse was raised. Thus; neurosurgery, legal medicine, gynecology, and surgery consultations were requested. With regard to the brain injury and epidural hematoma, immediate measures (i.e. head lifting, taking Dilantin, blood glucose control, blood pressure control, and maintaining adequate oxygen saturation in the arterial blood) were taken to put a stop to secondary brain injury, and the patient was then transferred to the intensive care unit (ICU) for further treatments. Conclusion: In the present case study, the child was seriously examined and followed up. In conclusion; 20 days later, the case was discharged from the pediatric ward with good medical conditions, and received counseling and psychiatric services for one year.

scholarly journals 217 The end-tidal and arterial carbon dioxide gradient in serious traumatic brain injury after pre-hospital emergency anaesthesia: a retrospective observational study

2020 ◽  
Vol 37 (12) ◽  
pp. 847.1-847
Author(s):  
James Price ◽  
Daniel Sandbach ◽  
Ari Ercole ◽  
Alastair Wilson ◽  
Ed Barnard
Keyword(s):  
Carbon Dioxide ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Thoracic Injury ◽  
Secondary Brain Injury ◽  
Hospital Emergency ◽  
Hospital Arrival ◽  
Arterial Blood ◽  
End Tidal ◽  
Emergency Anaesthesia

Aims/Objectives/BackgroundIn the United Kingdom (UK), 20% of patients with severe traumatic brain injury (TBI) receive pre-hospital emergency anaesthesia (PHEA). Current guidance recommends an end-tidal carbon dioxide (ETCO2) of 4.0–4.5kPa to achieve a low-normal arterial partial pressure of CO2 (PaCO2), and reduce secondary brain injury. This recommendation assumes a 0.5kPa ETCO2-PaCO2 gradient. However, the gradient in the acute phase of TBI is unknown. Our primary aim was to report the ETCO2-PaCO2 gradient of TBI patients at hospital arrival.Methods/DesignA retrospective cohort study of adult patients with serious TBI, who received a PHEA by a pre-hospital critical care team in the East of England between 1st April 2015 to 31st December 2017. Linear regression was performed to test for correlation and reported as R-squared (R2). A Bland-Altman plot was used to test for paired ETCO2 and PaCO2 agreement and reported with 95% confidence intervals (95%CI). ETCO2-PaCO2 gradient data were compared with a two-tailed, unpaired, t-test.Results/Conclusions107 patients were eligible for inclusion. Sixty-seven patients did not receive a PaCO2 sample within 30 minutes of hospital arrival and were therefore excluded. Forty patients had complete data and were included in the final analysis; per protocol.The mean ETCO2-PaCO2 gradient was 1.7 (±1.0) kPa, with only moderate correlation of ETCO2 and PaCO2 at hospital arrival (R2=0.23, p=0.002). The Bland-Altman bias was 1.7 (95%CI 1.4–2.0) kPa with upper and lower limits of agreement of 3.6 (95%CI 3.0–4.1) kPa and -0.2 (95%CI -0.8–0.3) kPa respectively. There was no significant gradient correlation in patients with a co-existing serious thoracic injury (R2=0.13, p=0.10), and this cohort had a larger ETCO2-PaCO2 gradient, 2.0 (±1.1) kPa, p=0.01. Patients who underwent pre-hospital arterial blood sampling had an arrival PaCO2 of 4.7 (±0.2) kPa.Lower ETCO2 targets than previously recommended may be safe and appropriate. The use of pre-hospital PaCO2 measurement is advocated.

Cerebral Perfusion Pressure and Intracranial Pressure in Traumatic Brain Injury

2015 ◽  
Vol 33 (1) ◽  
pp. 111-183 ◽  
Author(s):  
Pamela H. Mitchell ◽  
Catherine Kirkness ◽  
Patricia A. Blissitt
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Intracranial Pressure ◽  
Cerebral Perfusion Pressure ◽  
Nursing Care ◽  
Cerebral Perfusion ◽  
Perfusion Pressure ◽  
Secondary Brain Injury ◽  
Nursing Research ◽  
Arterial Blood

Nearly 300,000 children and adults are hospitalized annually with traumatic brain injury (TBI) and monitored for many vital signs, including intracranial pressure (ICP) and cerebral perfusion pressure (CPP). Nurses use these monitored values to infer the risk of secondary brain injury. The purpose of this chapter is to review nursing research on the monitoring of ICP and CPP in TBI. In this context, nursing research is defined as the research conducted by nurse investigators or research about the variables ICP and CPP that pertains to the nursing care of the TBI patient, adult or child. A modified systematic review of the literature indicated that, except for sharp head rotation and prone positioning, there are no body positions or nursing activities that uniformly or nearly uniformly result in clinically relevant ICP increase or decrease. In the smaller number of studies in which CPP is also measured, there are few changes in CPP since arterial blood pressure generally increases along with ICP. Considerable individual variation occurs in controlled studies, suggesting that clinicians need to pay close attention to the cerebrodynamic responses of each patient to any care maneuver. We recommend that future research regarding nursing care and ICP/CPP in TBI patients needs to have a more integrated approach, examining comprehensive care in relation to short- and long-term outcomes and incorporating multimodality monitoring. Intervention trials of care aspects within nursing control, such as the reduction of environmental noise, early mobilization, and reduction of complications of immobility, are all sorely needed.

Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury

2020 ◽  
Vol 132 (6) ◽  
pp. 1952-1960 ◽  
Author(s):  
Seung-Bo Lee ◽  
Hakseung Kim ◽  
Young-Tak Kim ◽  
Frederick A. Zeiler ◽  
Peter Smielewski ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Neurological Status ◽  
Cerebrovascular Reactivity ◽  
Cerebral Hypoperfusion ◽  
Clinical Parameters ◽  
Artifact Removal ◽  
Clinical Events ◽  
Arterial Blood ◽  
Before And After

OBJECTIVEMonitoring intracranial and arterial blood pressure (ICP and ABP, respectively) provides crucial information regarding the neurological status of patients with traumatic brain injury (TBI). However, these signals are often heavily affected by artifacts, which may significantly reduce the reliability of the clinical determinations derived from the signals. The goal of this work was to eliminate signal artifacts from continuous ICP and ABP monitoring via deep learning techniques and to assess the changes in the prognostic capacities of clinical parameters after artifact elimination.METHODSThe first 24 hours of monitoring ICP and ABP in a total of 309 patients with TBI was retrospectively analyzed. An artifact elimination model for ICP and ABP was constructed via a stacked convolutional autoencoder (SCAE) and convolutional neural network (CNN) with 10-fold cross-validation tests. The prevalence and prognostic capacity of ICP- and ABP-related clinical events were compared before and after artifact elimination.RESULTSThe proposed SCAE-CNN model exhibited reliable accuracy in eliminating ABP and ICP artifacts (net prediction rates of 97% and 94%, respectively). The prevalence of ICP- and ABP-related clinical events (i.e., systemic hypotension, intracranial hypertension, cerebral hypoperfusion, and poor cerebrovascular reactivity) all decreased significantly after artifact removal.CONCLUSIONSThe SCAE-CNN model can be reliably used to eliminate artifacts, which significantly improves the reliability and efficacy of ICP- and ABP-derived clinical parameters for prognostic determinations after TBI.

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.

Optimising the management of severe Traumatic Brain Injury in the military maritime environment

2014 ◽  
Vol 100 (3) ◽  
pp. 293-300
Author(s):  
IA Edgar ◽  
G Hadjipavlou ◽  
JE Smith
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Healthcare Systems ◽  
Secondary Brain Injury ◽  
Eye Protection ◽  
Alternative Approaches ◽  
The Military ◽  
Primary Injury ◽  
Maritime Environment

AbstractSevere Traumatic Brain Injury (sTBI) is a devastating cause of morbidity and mortality, especially among those aged less than 45 years. Advances in clinical practice continue to focus on preventing primary injury through developing ballistic head and eye protection, and through minimising secondary brain injury (secondary prevention).Managing sTBI is challenging in well-developed, well-resourced healthcare systems. Achieving management aims in the military maritime environment poses even greater challenges.Strategies for the management of sTBI in the maritime environment should be in keeping with current best evidence. Provision of specialist interventions for sTBI in military maritime environments may require alternative approaches matched to the skills of the staff and environmental restrictions.

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