Association of Traumatic Brain Injuries With Vomiting in Children With Blunt Head Trauma

PECARN prediction rules for CT imaging of children presenting to the emergency department with blunt abdominal or minor head trauma: a multicentre prospective validation study

BACKGROUND

The intra-abdominal injury and traumatic brain injury prediction rules derived by the Pediatric Emergency Care Applied Research Network (PECARN) were designed to reduce inappropriate use of CT in children with abdominal and head trauma, respectively. We aimed to validate these prediction rules for children presenting to emergency departments with blunt abdominal or minor head trauma.

METHODS

For this prospective validation study, we enrolled children and adolescents younger than 18 years presenting to six emergency departments in Sacramento (CA), Dallas (TX), Houston (TX), San Diego (CA), Los Angeles (CA), and Oakland (CA), USA between Dec 27, 2016, and Sept 1, 2021. We excluded patients who were pregnant or had pre-existing neurological disorders preventing examination, penetrating trauma, injuries more than 24 h before arrival, CT or MRI before transfer, or high suspicion of non-accidental trauma. Children presenting with blunt abdominal trauma were enrolled into an abdominal trauma cohort, and children with minor head trauma were enrolled into one of two age-segregated minor head trauma cohorts (younger than 2 years vs aged 2 years and older). Enrolled children were clinically examined in the emergency department, and CT scans were obtained at the attending clinician's discretion. All enrolled children were evaluated against the variables of the pertinent PECARN prediction rule before CT results were seen. The primary outcome of interest in the abdominal trauma cohort was intra-abdominal injury undergoing acute intervention (therapeutic laparotomy, angiographic embolisation, blood transfusion, intravenous fluid for ≥2 days for pancreatic or gastrointestinal injuries, or death from intra-abdominal injury). In the age-segregated minor head trauma cohorts, the primary outcome of interest was clinically important traumatic brain injury (neurosurgery, intubation for >24 h for traumatic brain injury, or hospital admission ≥2 nights for ongoing symptoms and CT-confirmed traumatic brain injury; or death from traumatic brain injury).

FINDINGS

7542 children with blunt abdominal trauma and 19 999 children with minor head trauma were enrolled. The intra-abdominal injury rule had a sensitivity of 100·0% (95% CI 98·0-100·0; correct test for 145 of 145 patients with intra-abdominal injury undergoing acute intervention) and a negative predictive value (NPV) of 100·0% (95% CI 99·9-100·0; correct test for 3488 of 3488 patients without intra-abdominal injuries undergoing acute intervention). The traumatic brain injury rule for children younger than 2 years had a sensitivity of 100·0% (93·1-100·0; 42 of 42) for clinically important traumatic brain injuries and an NPV of 100·0%; 99·9-100·0; 2940 of 2940), whereas the traumatic brain injury rule for children aged 2 years and older had a sensitivity of 98·8% (95·8-99·9; 168 of 170) and an NPV of 100·0% (99·9-100·0; 6015 of 6017). The two children who were misclassified by the traumatic brain injury rule were admitted to hospital for observation but did not need neurosurgery.

INTERPRETATION

The PECARN intra-abdominal injury and traumatic brain injury rules were validated with a high degree of accuracy. Their implementation in paediatric emergency departments can therefore be considered a safe strategy to minimise inappropriate CT use in children needing high-quality care for abdominal or head trauma.

FUNDING

The Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Which elements of hospital-based clinical decision support tools for the assessment and management of children with head injury can be adapted for use by paramedics in prehospital care? A systematic mapping review and narrative synthesis

OBJECTIVE

Hospital-based clinical decision tools support clinician decision-making when a child presents to the emergency department with a head injury, particularly regarding CT scanning. However, there is no decision tool to support prehospital clinicians in deciding which head-injured children can safely remain at scene. This study aims to identify clinical decision tools, or constituent elements, which may be adapted for use in prehospital care.

DESIGN

Systematic mapping review and narrative synthesis.

DATA SOURCES

Searches were conducted using MEDLINE, EMBASE, PsycINFO, CINAHL and AMED.

ELIGIBILITY CRITERIA

Quantitative, qualitative, mixed-methods or systematic review research that included a clinical decision support tool for assessing and managing children with head injury.

DATA EXTRACTION AND SYNTHESIS

We systematically identified all in-hospital clinical decision support tools and extracted from these the clinical criteria used in decision-making. We complemented this with a narrative synthesis.

RESULTS

Following de-duplication, 887 articles were identified. After screening titles and abstracts, 710 articles were excluded, leaving 177 full-text articles. Of these, 95 were excluded, yielding 82 studies. A further 14 studies were identified in the literature after cross-checking, totalling 96 analysed studies. 25 relevant in-hospital clinical decision tools were identified, encompassing 67 different clinical criteria, which were grouped into 18 categories.

CONCLUSION

Factors that should be considered for use in a clinical decision tool designed to support paramedics in the assessment and management of children with head injury are: signs of skull fracture; a large, boggy or non-frontal scalp haematoma neurological deficit; Glasgow Coma Score less than 15; prolonged or worsening headache; prolonged loss of consciousness; post-traumatic seizure; amnesia in older children; non-accidental injury; drug or alcohol use; and less than 1 year old. Clinical criteria that require further investigation include mechanism of injury, clotting impairment/anticoagulation, vertigo, length of time of unconsciousness and number of vomits.

A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants

OBJECTIVE

We aimed to develop a robust framework to model the complex association between clinical features and traumatic brain injury (TBI) risk in children under age two, and identify significant features to derive clinical decision rules for triage decisions.

METHODS

In this retrospective study, four frequently used machine learning models, i.e., support vector machine (SVM), random forest (RF), deep neural network (DNN), and XGBoost (XGB), were compared to identify significant clinical features from 24 input features associated with the TBI risk in children under age two under the permutation feature importance test (PermFIT) framework by using the publicly available data set from the Pediatric Emergency Care Applied Research Network (PECARN) study. The prediction accuracy was determined by comparing the predicted TBI status with the computed tomography (CT) scan results since CT scan is the gold standard for diagnosing TBI.

RESULTS

At a significance level of [Formula: see text], DNN, RF, XGB, and SVM identified 9, 1, 2,  and 4 significant features, respectively. In a comparison of accuracy (Accuracy), the area under the curve (AUC), and the precision-recall area under the curve (PR-AUC), the permutation feature importance test for DNN model was the most powerful framework for identifying significant features and outperformed other methods, i.e., RF, XGB, and SVM, with Accuracy, AUC, and PR-AUC as 0.915, 0.794, and 0.974, respectively.

CONCLUSION

These results indicate that the PermFIT-DNN framework robustly identifies significant clinical features associated with TBI status and improves prediction performance. The findings could be used to inform the development of clinical decision tools designed to inform triage decisions.

Isolated Altered Mental Status in Children With Minor Blunt Head Trauma

Traumatic brain injuries are uncommon in children with isolated Glasgow Coma Scale scores of 14 or other isolated minor signs of altered mental status (AMS).

Non-ionizing Imaging for the Emergency Department Assessment of Pediatric Minor Head Trauma

Minor blunt head trauma (MHT) represents a common reason for presentation to the pediatric emergency department (ED). Despite the low incidence of clinically important traumatic brain injuries (ciTBIs) following MHT, many children undergo computed tomography (CT), exposing them to the risk associated with ionizing radiation. The clinical predictions rules developed by the Pediatric Emergency Care Applied Research Network (PECARN) for MHT are validated accurate tools to support decision-making about neuroimaging for these children to safely reduce CT scans. However, a few non-ionizing imaging modalities have the potential to contribute to further decrease CT use. This narrative review provides an overview of the evidence on the available non-ionizing imaging modalities that could be used in the management of children with MHT, including point of care ultrasound (POCUS) of the skull, near-infrared spectroscopy (NIRS) technology and rapid magnetic resonance imaging (MRI). Skull ultrasound has proven an accurate bedside tool to identify the presence and characteristics of skull fractures. Portable handheld NIRS devices seem to be accurate screening tools to identify intracranial hematomas also in pediatric MHT, in selected scenarios. Both imaging modalities may have a role as adjuncts to the PECARN rule to help refine clinicians' decision making for children at high or intermediate PECARN risk of ciTBI. Lastly, rapid MRI is emerging as a feasible and accurate alternative to CT scan both in the ED setting and when repeat imaging is needed. Advantages and downsides of each modality are discussed in detail in the review.

PECARN Rule in diagnostic process of pediatric patients with minor head trauma in emergency department

This study aims to evaluate the efficacy of the PECARN Rule (PR) in reducing radiological investigations in children with mild traumatic head injury in comparison with current clinical practice. A retrospective study was performed in our hospital between July 2015 and June 2020. Data of all children < 18 years of age admitted to the emergency department (ED), within 24 h after a head trauma with GCS ≥ 14, were analyzed. PECARN Rule was retrospectively applied to all patients. In total, 3832 patients were enrolled, 2613 patients ≥ 2 years and 1219 < 2 years. In the group of children ≥ 2 years, 10 presented clinically important traumatic brain injury (ciTBI) and were hospitalized, 7/10 underwent neurosurgery, and 3/10 clinical observation in the pediatric ward for more than 48 h. In children < 2 years, only 3 patients presented ciTBI, 2 underwent neurosurgery and 1 hospitalized. Applying the PR, no patient with ciTBI would have been discharged without an accurate diagnosis and we would have avoided 139 CT scans in patients ≥ 2 years, and 23 in those < 2 years of age (29% less).

CONCLUSION

We demonstrated the safety and validity of the PR in our setting with 100% sensitivity in both age groups in identifying patients with ciTBI and theoretically in reducing performed CT scans by 29%. Therefore, in patients classified in the low-risk category, it is a duty not to expose the child to ionizing radiation.

WHAT IS KNOWN

• CT is the gold standard to identify intracranial pathology in children with head injury but CT imaging of head-injured children expose them to higher carcinogenic risk. • PECARN Rules support doctors in identifying children with ciTBI in order to reduce exposure to ionizing radiation.

WHAT IS NEW

• We demonstrate the safety and validity of the PR with 100% sensitivity in both age groups in identifying patients with ciTBI. • In our setting, the application of PECARN Rule would theoretically have allowed us to reduce the CT scan by 29%.

Predicting factors for abnormal brain computed tomography in children with minor head trauma

Background

Deciding whether a cranial Computed Tomography (CT) scan in a patient with minor head trauma (MHT) is necessary or not has always been challenging. Diagnosing Traumatic Brain Injury (TBI) is a fundamental part of MHT managing especially in children who are more vulnerable in terms of brain CT radiation consequences and TBI. Defining some indications to timely and efficiently predict the likelihood of TBI is necessary. Thus, we aimed to determine the impact of clinical findings to predict the need for brain CT in children with MHT.

Methods

In a prospective cohort study, 200 children (2 to 14 years) with MHT were included from 2019 to 2020. The data of MHT-related clinical findings were gathered. The primary and secondary outcomes were defined as a positive brain CT and any TBI requiring neurosurgery intervention, respectively. In statistical analysis, we performed Binary Logistic regression analysis, Fisher’s exact test and independent samples t-test using SPSS V.26.

Results

The mean age of participants was 6.5 ± 3.06 years. Ninety patients underwent brain CT. The most common clinical finding and injury mechanism were headache and falling from height, respectively. The results of brain CTs were positive in seven patients (3.5%). We identified three predicting factors for an abnormal brain CT including headache, decreased level of consciousness, and vomiting.

Conclusion

We showed that repetitive vomiting (≥2), headache, and decreased level of consciousness are predicting factors for an abnormal brain CT in children with MHT.

PECARN algorithms for minor head trauma: Risk stratification estimates from a prospective PREDICT cohort study

BACKGROUND

The Pediatric Emergency Care Applied Research Network (PECARN) head trauma clinical decision rules informed the development of algorithms that risk stratify the management of children based on their risk of clinically important traumatic brain injury (ciTBI). We aimed to determine the rate of ciTBI for each PECARN algorithm risk group in an external cohort of patients and that of ciTBI associated with different combinations of high- or intermediate-risk predictors.

METHODS

This study was a secondary analysis of a large multicenter prospective data set, including patients with Glasgow Coma Scale scores of 14 or 15 conducted in Australia and New Zealand. We calculated ciTBI rates with 95% confidence intervals (CIs) for each PECARN risk category and combinations of related predictor variables.

RESULTS

Of the 15,163 included children, 4,011 (25.5%) were aged <2 years. The frequency of ciTBI was 8.5% (95% CI = 6.0%-11.6%), 0.2% (95% CI = 0.0%-0.6%), and 0.0% (95% CI = 0.0%-0.2%) in the high-, intermediate-, and very-low-risk groups, respectively, for children <2 years and 5.7% (95% CI = 4.4%-7.2%), 0.7% (95% CI = 0.5%-1.0%), and 0.0% (95% CI = 0.0%-0.1%) in older children. The isolated high-risk predictor with the highest risk of ciTBI was "signs of palpable skull fracture" for younger children (11.4%, 95% CI = 5.3%-20.5%) and "signs of basilar skull fracture" in children ≥2 years (11.1%, 95% CI = 3.7%-24.1%). For older children in the intermediate-risk category, the presence of all four predictors had the highest risk of ciTBI (25.0%, 95% CI = 0.6%-80.6%) followed by the combination of "severe mechanism of injury" and "severe headache" (7.7%, 95% CI = 0.2%-36.0%). The very few children <2 years at intermediate risk with ciTBI precluded further analysis.

CONCLUSIONS

The risk estimates of ciTBI for each of the PECARN algorithms risk group were consistent with the original PECARN study. The risk estimates of ciTBI within the high- and intermediate-risk predictors will help further refine clinical judgment and decision making on neuroimaging.

Risk of Traumatic Brain Injuries in Infants Younger than 3 Months With Minor Blunt Head Trauma

STUDY OBJECTIVE

Infants with head trauma often have subtle findings suggestive of traumatic brain injury. Prediction rules for traumatic brain injury among children with minor head trauma have not been specifically evaluated in infants younger than 3 months old. We aimed to determine the risk of clinically important traumatic brain injuries, traumatic brain injuries on computed tomography (CT) images, and skull fractures in infants younger than 3 months of age who did and did not meet the age-specific Pediatric Emergency Care Applied Research Network (PECARN) low-risk criteria for children with minor blunt head trauma.

METHODS

We conducted a secondary analysis of infants <3 months old in the public use data set from PECARN's prospective observational study of children with minor blunt head trauma. Main outcomes included (1) clinically important traumatic brain injury, (2) traumatic brain injury on CT, and (3) skull fracture on CT.

RESULTS

Of 10,904 patients <2 years old, 1,081 (9.9%) with complete data were <3 months old; most (750/1081, 69.6%) sustained falls, and 633/1081 (58.6%) underwent CT scans. Of the 514/1081 (47.5%) infants who met the PECARN low-risk criteria, 1/514 (0.2%, 95% confidence interval [CI] 0.005% to 1.1%), 10/197 (5.1%, 2.5% to 9.1%), and 9/197 (4.6%, 2.1% to 8.5%) had clinically important traumatic brain injuries, traumatic brain injuries on CT, and skull fractures, respectively. Of 567 infants who did not meet the low-risk PECARN criteria, 24/567 (4.2%, 95% CI 2.7% to 6.2%), 94/436 (21.3%, 95% CI 17.6% to 25.5%), and 122/436 (28.0%, 95% CI 23.8% to 32.5%) had clinically important traumatic brain injuries, traumatic brain injuries, and skull fractures, respectively.

CONCLUSION

The PECARN traumatic brain injury low-risk criteria accurately identified infants <3 months old at low risk of clinically important traumatic brain injuries. However, infants at low risk for clinically important traumatic brain injuries remained at risk for traumatic brain injuries on CT, suggesting the need for a cautious approach in these infants.

Epidemiology and risk stratification of minor head injuries in school-going children

INTRODUCTION

Head injuries occur commonly in children and can lead to concussion injuries. We aim to describe the epidemiology of head injuries among school-going children and identify predictors of brain concussions in Singapore.

METHODS

This is a retrospective study of children 7-16 years old who presented to the Emergency Department (ED) of KK Women's and Children's Hospital in Singapore with minor head injury between June 2017 and August 2018. Data including demographics, clinical presentation, ED and hospital management were collected using a standardised electronic template. Multivariable logistic regression analysis was performed to identify early predictors for brain concussion. Concussion symptoms were defined as persistent symptoms after admission, need for inpatient intervention, or physician concerns necessitating neuroimaging.

RESULTS

Among 1,233 children (mean age, 6.6 years; 72.6% boys) analysed, the commonest mechanism was falls (64.6%). Headache and vomiting were the most common presenting symptoms. A total of 395 (32.0%) patients required admission, and 277 (22.5%) had symptoms of concussion. Older age (13-16 years old) (adjusted odds ratio [aOR] 1.53, 95% confidence interval [CI] 1.12-2.08), children involved in road traffic accidents (aOR 2.12, CI 1.17-3.85) and a presenting complaint of headache (aOR 2.64, CI 1.99-3.50) were significantly associated with symptoms of concussion.

CONCLUSION

This study provides a detailed description of the pattern of head injuries among school-going children in Singapore. High risk patients may require closer monitoring to detect post-concussion syndrome early.

Injuries from alleged accidental minor head trauma in a prospective cohort of children aged 0-3 years in an emergency department

INTRODUCTION

Minor head trauma in the child, whether accidental or inflicted, is a frequent reason for seeking medical attention. Our aim is to describe the characteristics of minor head trauma in children aged 0-3 years and the resulting injuries. This in order to help the clinician to suspect and thelegal expert to confirm intentional abuse.

STUDY DESIGN

Children aged from 0 to 3 years with minor head trauma and attending the pediatric emergency department were included in the study between January 2013 and June 2014. The correlation between the characteristics of trauma and the resulting injuries was analyzed using a prospective data collection questionnaire completed by the physicians who cared for the child.

RESULTS

A total of 709 children with minor head trauma were included in the study. In nearly 90% of cases, fall height was less than 1 m. Only one-third of children aged less than 6 months had external head injury. Low-intensity trauma, such as a low-velocity fall from a height of less than 1.5 m does not cause intracranial injury. External injuries were more frequent in children who had a fall with an anterior impact, while internal injuries were found only in posterior and lateral impacts.

CONCLUSION

In the context of minor head trauma, the physician must be vigilant and must ask for a full and clear description of the trauma, its mechanisms and other characteristics, when external or internal head injuries are observed in children aged less than 6 months.

Risk Stratification of Intermediate-Risk Children With Minor Head Injury

The Pediatric Emergency Care Applied Research Network rule helps emergency physicians identify very low-risk children with minor head injury who can forgo head computed tomography. This rule contributes to reduction in lifetime risk of radiation-induced cancers while minimizing missing clinically important traumatic brain injury. However, in intermediate-risk children, decisions on whether to perform computed tomography remain at the emergency physicians' discretion. To reduce this gray zone, this review summarizes evidence for risk stratification of intermediate-risk children with minor head injury.

Use of Ondansetron for Vomiting After Head Trauma: Does It Mask Clinically Significant Traumatic Brain Injury?

OBJECTIVES

We describe ondansetron use in children with head injury evaluated in pediatric emergency departments and its association with return visits and late diagnoses of intracranial injuries requiring intervention.

METHODS

Children ages 6 months to 18 years discharged without neuroimaging from 35 pediatric emergency departments with a diagnosis of head injury from 2009 to 2013 were identified retrospectively from the Pediatric Health Information System. We evaluated the rates of ondansetron use during the study period and of the association of ondansetron treatment with the diagnosis of intracranial injury, skull fracture, and return visits within 72 hours requiring admission or operative intervention.

RESULTS

We identified 218,904 encounters during the study period. Of these, 5894 patients (2.8%) were given ondansetron. There was significant variation in the use of ondansetron during the index visit between hospitals (0.1%-5.7%), and ondansetron use significantly increased over the study period. Return visits within 72 hours were more likely for patients treated with ondansetron during the index visit (3.7% vs 1.9%; adjusted odds ratio, 1.99; 95% confidence interval, 1.7-2.4). These patients were more likely to be admitted than those not treated initially with ondansetron (7% vs 4%; adjusted odds ratio, 1.97; 95% confidence interval, 1.09-3.55). There were no significant differences in rates of skull fractures, intracranial injury, intensive care unit admission, or operative intervention between groups.

CONCLUSIONS

Ondansetron use during an initial emergency department visit for head trauma in children not requiring neuroimaging is associated with a higher likelihood of return within 72 hours and subsequent admission. There were no differences in rates of missed skull fractures, intracranial injury, intensive care admission, or operative intervention for groups who were and were not treated with ondansetron; however, this study was underpowered to detect significant differences in these categories. Future investigations with greater numbers would be required to confidently assess these critical differences.

Characteristics of vomiting as a predictor of intracranial injury in pediatric minor head injury

OBJECTIVES

Vomiting is common in children after minor head injury. In previous research, isolated vomiting was not a significant predictor of intracranial injury after minor head injury; however, the significance of recurrent vomiting is unclear. This study aimed to determine the value of recurrent vomiting in predicting intracranial injury after pediatric minor head injury.

METHODS

This secondary analysis of the CATCH2 prospective multicenter cohort study included participants (0-16 years) who presented to a pediatric emergency department (ED) within 24 hours of a minor head injury. ED physicians completed standardized clinical assessments. Recurrent vomiting was defined as ≥ four episodes. Intracranial injury was defined as acute intracranial injury on computed tomography scan. Predictors were examined using chi-squared tests and logistic regression models.

RESULTS

A total of 855 (21.1%) of the 4,054 CATCH2 participants had recurrent vomiting, 197 (4.9%) had intracranial injury, and 23 (0.6%) required neurosurgical intervention. Children with recurrent vomiting were significantly more likely to have intracranial injury (odds ratio [OR], 2.3; 95% confidence interval [CI], 1.7-3.1), and require neurosurgical intervention (OR, 3.5; 95% CI, 1.5-7.9). Recurrent vomiting remained a significant predictor of intracranial injury (OR, 2.8; 95% CI, 1.9-3.9) when controlling for other CATCH2 criteria. The probability of intracranial injury increased with number of vomiting episodes, especially when accompanied by other high-risk factors, including signs of a skull fracture, or irritability and Glasgow Coma Scale score < 15 at 2 hours postinjury. Timing of first vomiting episode, and age were not significant predictors.

CONCLUSIONS

Recurrent vomiting (≥ four episodes) was a significant risk factor for intracranial injury in children after minor head injury. The probability of intracranial injury increased with the number of vomiting episodes and if accompanied by other high-risk factors, such as signs of a skull fracture or altered level of consciousness.

Children With Minor Blunt Head Trauma Presenting to the Emergency Department

In our state-of-the-art review, we summarize the best-available evidence for the optimal emergency department management of children with minor blunt head trauma. Minor blunt head trauma in children is a common reason for emergency department evaluation, although clinically important traumatic brain injuries (TBIs) as a result are uncommon. Cranial computed tomography (CT) scanning is the reference standard for the diagnosis of TBIs, although they should be used judiciously because of the risk of lethal malignancy from ionizing radiation exposure, with the greatest risk to the youngest children. Available TBI prediction rules can assist with CT decision-making by identifying patients at either low risk for TBI, for whom CT scans may safely be obviated, or at high risk, for whom CT scans may be indicated. For clinical prediction rules to change practice, however, they require active implementation. Observation before CT decision-making in selected patients may further reduce CT rates without missing children with clinically important TBIs. Future work is also needed to incorporate patient and family preferences into these decision-making algorithms when the course of action is not clear.

A secondary analysis to inform a clinical decision rule for predicting skull fracture and intracranial injury in children under age 2

The purpose of this study was to identify factors associated with the risk of closed head injury (CHI) in children under age 2 years with suspected minor head injuries based on age-appropriate, or near age-appropriate, mental status on an exam. The study was a secondary data analysis of a public-use dataset from the largest prospective, multicenter pediatric head injury study found in the current literature. An existing, validated clinical decision rule was examined using a sample of 3,329 children under age 2 to determine whether it, or the individual variables within it, could be utilized alone, or in conjunction with other variables to accurately predict the risk of underlying CHI in this sample. Results indicated that the keys to an accurate triage assessment for children under age 2 with suspected minor head injuries include the ability to identify the specific skull region injured, the ability to assess for the presence and size of any scalp hematoma, the ability to identify signs of altered mental status in this age group, and having access to accurate information regarding the child's age and the details of the injury mechanism. The findings from this study add to the body of knowledge regarding what factors are associated with CHI in children under age 2 with suspected minor head injuries and could be used to inform age-specific recommendations for children under age 2 in triage, educational resources, and national trauma criteria.

Isolated Increased Intracranial Pressure and Unilateral Papilledema in an Infant With Traumatic Brain Injury and Nondepressed Basilar Skull Fracture

Traumatic brain injury is one of the most common pediatric injuries; totaling more than 500,000 emergency department visits per year. When the injury involves a skull fracture, sinus venous thrombosis and the risk of resultant increased intracranial pressure (ICP) are a concern. We describe a previously healthy 11-month-old female infant with nondepressed skull fracture who developed increased ICP in the absence of intracranial changes on imaging. Funduscopic examination revealed unilateral papilledema, and opening pressure on lumbar puncture was elevated at 35 cm of H2O. Computed tomography scan demonstrated a nondepressed occipital bone fracture. However, further imaging, including magnetic resonance imaging with angiogram/venogram, did not reveal any intracranial abnormalities. In particular, there was no evidence of sinus venous thrombosis. Given her presentation and signs of increased ICP, she was started on acetazolamide and improved dramatically. A thorough literature search was completed but yielded no information on infants with increased ICP after nondepressed skull fracture in the absence of radiographic findings to suggest a cause for the increase in pressure. Trauma alone can lead to increased ICP secondary to several processes, although this is expected in moderate to severe head trauma. Our case demonstrates that increased ICP can be present in infants with mild traumatic brain injury in the absence of intracranial pathology. This should be considered in patients who present with persistent vomiting that is refractory to antiemetics.

Impact of Road Traffic Injury to Pediatric Traumatic Brain Injury in Southern Thailand

Background

Motor vehicle is a major transportation in Southern Thailand as the result of road traffic injury and death. Consequently, severe disability and mortality in pediatric traumatic brain injury (TBI) were observed from traffic accident, particularly motorcycle accident. To identify the risk of intracranial injury in children, the association of treatment outcome with various factors including mechanisms of injury, clinical characteristics, and intracranial pathology can be assessed.

Materials and Methods

This was a retrospective study conducted on children, who were younger than 15 years old with TBI and were enrolled from 2004 to 2015. Several clinically relevant issues were reviewed and statistically analyzed.

Results

A total of 948 casualties were enrolled. Compared with falling down, the motorcycle accident was significantly associated with intracranial injury (odds ratio 1.73, 95% confidence interval [CI] 1.08-2.76). Other factors associated with intracranial injury were hemiparesis (odds ratio 5.69, 95% CI 1.44-22.36), positive of basal skull fracture signs (odds ratio 15.66, 95% CI 3.44-71.28), and fixed reaction to light of both pupils (odds ratio 5.74, 95% CI 1.71-19.23). Mortality found in thirty cases (3.2%). Furthermore, the risk of death correlated with motorcycle accident (P = 0.02) and severe head injury (P < 0.001). Neurosurgical intervention was not associated with outcome, but severe head injury, hemorrhagic shock, epidural, and subdural hematoma were impact factors.

Conclusion

The findings demonstrate road traffic injury, especially motorcycle accident leading to brain injury and death. Prevention program is a necessary key to decrease mortality and disability in pediatric TBI.

Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules

Importance

Computed tomographic (CT) scanning is the standard for the rapid diagnosis of intracranial injury, but it is costly and exposes patients to ionizing radiation. The Pediatric Emergency Care Applied Research Network (PECARN) rules for identifying children with minor head trauma who are at very low risk of clinically important traumatic brain injury (ciTBI) are widely used to triage CT imaging.

Objective

To examine whether optimal classification trees (OCTs), which are novel machine-learning classifiers, improve on PECARN rules' predictive accuracy.

Design, Setting, and Participants

A secondary analysis of prospective, publicly available data on emergency department visits for head trauma used by the PECARN group to develop their tool was conducted to derive OCT-based prediction rules for ciTBI in a development cohort and compare their predictive performance vs the PECARN rules in a validation cohort among children who were younger than 2 years and 2 years or older. Data on 42 412 children with head trauma and without severely altered mental status who were examined between June 1, 2004, and September 30, 2006, were gathered from 25 emergency departments in North America participating in PECARN. Data analysis was conducted from September 15, 2016, to December 18, 2018.

Main Outcomes and Measures

The outcome was ciTBI, with predictive performance measured by estimating the sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio for the OCT and the PECARN rules. The OCT and PECARN rules' performance was compared by estimating ratios for each measure.

Results

Of the 42 412 children (15 996 [37.7%] girls) included in the analysis, 10 718 were younger than 2 years (25.3%; mean [SD] age, 11.6 [0.6] months) and 31 694 were 2 years or older (74.7%; age, 9.1 [4.9] years). Compared with PECARN rules, OCTs misclassified 0 vs 1 child with ciTBI in the younger and 10 vs 9 children with ciTBI in the older cohort, and correctly identified more children with very low risk of ciTBI in the younger (7605 vs 5701) and older (20 594 vs 18 134) cohorts. In the validation cohorts, compared with the PECARN rules, the OCTs had statistically significantly better specificity (in the younger cohort: 69.3%; 95% CI, 67.4%-71.2% vs 52.8%; 95% CI, 50.8%-54.9%; in the older cohort: 65.6%; 95% CI, 64.5%-66.8% vs 57.6%; 95% CI, 56.4%-58.8%), positive predictive value (odds ratios, 1.54; 95% CI, 1.36-1.74 and 1.23; 95% CI, 1.17-1.30, in younger and older children, respectively), and positive likelihood ratio (risk ratios, 1.54; 95% CI, 1.36-1.74 and 1.23; 95% CI, 1.17-1.30, in younger and older children, respectively). There were no statistically significant differences in the sensitivity, negative predictive value, and negative likelihood ratio between the 2 sets of rules.

Conclusions and Relevance

If implemented, OCTs may help reduce the number of unnecessary CT scans, without missing more patients with ciTBI than the PECARN rules.

Reduction of Computed Tomography Use for Pediatric Closed Head Injury Evaluation at a Nonpediatric Community Emergency Department

OBJECTIVE

The purpose of this study was to determine if implementation of a Pediatric Emergency Care Applied Research Network (PECARN)-based Closed Head Injury Assessment Tool could safely decrease computed tomography (CT) use for pediatric head injury evaluation at a nonpediatric community emergency department (ED).

METHODS

A quality improvement project was initiated at a nonpediatric community ED to implement an institution-specific, PECARN-based Pediatric Closed Head Injury Assessment Tool. Baseline head CT use at the participating ED was determined for children with closed head injury through retrospective chart review from March 2014 through November 2015. Head injury patients were identified using International Classification of Disease (ICD)-9 codes for head injury, unspecified (959.01) and concussion with and without loss of consciousness (850-850.9) until October 2015, after which ICD-9 was no longer used. To identify eligible patients after October 2015, lists of all pediatric patients evaluated at the participating ED were reviewed, and patients were included in the analysis if they had a physician-assigned discharge diagnosis of head injury or concussion. Exclusion criteria were age ≥ 18 years, penetrating head trauma, history of brain tumor, ventriculoperitoneal shunt, bleeding disorder, or presentation > 24 hours postinjury. Medical history, injury mechanism, symptoms, head CT use, and disposition were recorded. Implementation of the Pediatric Closed Head Injury Assessment Tool was achieved through provider education sessions beginning in December 2015 and ending in August 2016. Head CT use was monitored for 12 months postimplementation, from September 2016 through August 2017. Patients were classified into low, intermediate, or high risk for clinically important traumatic brain injury (ciTBI) by chart review. ED length of stay (LOS), disposition, and ED returns within 72 hours were recorded. Categorical variables were compared using chi-square test or Fisher's exact test, and continuous variables, using Kruskal-Wallis test.

RESULTS

A total of 252 children with closed head injury were evaluated preimplementation (March 2014 through November 2015), 132 children were evaluated during implementation (December 2015 through August 2016), and 172 children were evaluated postimplementation (September 2016 through August 2017). Overall CT use decreased from 37.7% (95% confidence interval [CI] = 31.7-43.7) preimplementation to 16.9% (95% CI = 11.3-22.5) postimplementation (p < 0.001). Only 1% (95% CI = 0%-2.9%) of low-risk patients received a head CT postimplementation compared to 22.6% (95% CI = 16.1%-29.1%) preimplementation (p < 0.001). CT use among patients ≥ 24 months decreased from 42.9% (95% CI = 36.5%-49.6%) to 19.6% (95% CI = 13.1%-26.1%; p < 0.001) and remained low and unchanged for patients < 24 months. Transfers to a pediatric trauma center and ED returns within 72 hours were unchanged, while median ED LOS improved from 1.5 to 1.3 hours (p = 0.03). There were no missed ciTBIs after implementation of the guideline.

CONCLUSION

Implementation of the PECARN-based Pediatric Closed Head Injury Assessment Tool reduced head CT use in a nonpediatric ED. The greatest impact was seen among children aged ≥ 24 months at very low risk for ciTBI.

Altered Mental Status in Children After Traumatic Brain Injury

Pediatric head injuries are common and may present with varying degrees of altered mental status in children. The approach to evaluation, diagnosis, treatment, and prevention of further injury is important in achieving good health outcomes after a head injury. In this article, we review the pathophysiology, classifications, signs and symptoms, and management of traumatic brain injury. We also discuss the importance of preventing a secondary injury during recovery by educating families about head injury sequelae and return-to-play guidelines. [Pediatr Ann. 2019;48(5):e192-e196.].

Centers for Disease Control and Prevention Guideline on the Diagnosis and Management of Mild Traumatic Brain Injury Among Children

Importance

Mild traumatic brain injury (mTBI), or concussion, in children is a rapidly growing public health concern because epidemiologic data indicate a marked increase in the number of emergency department visits for mTBI over the past decade. However, no evidence-based clinical guidelines have been developed to date for diagnosing and managing pediatric mTBI in the United States.

Objective

To provide a guideline based on a previous systematic review of the literature to obtain and assess evidence toward developing clinical recommendations for health care professionals related to the diagnosis, prognosis, and management/treatment of pediatric mTBI.

Evidence Review

The Centers for Disease Control and Prevention (CDC) National Center for Injury Prevention and Control Board of Scientific Counselors, a federal advisory committee, established the Pediatric Mild Traumatic Brain Injury Guideline Workgroup. The workgroup drafted recommendations based on the evidence that was obtained and assessed within the systematic review, as well as related evidence, scientific principles, and expert inference. This information includes selected studies published since the evidence review was conducted that were deemed by the workgroup to be relevant to the recommendations. The dates of the initial literature search were January 1, 1990, to November 30, 2012, and the dates of the updated literature search were December 1, 2012, to July 31, 2015.

Findings

The CDC guideline includes 19 sets of recommendations on the diagnosis, prognosis, and management/treatment of pediatric mTBI that were assigned a level of obligation (ie, must, should, or may) based on confidence in the evidence. Recommendations address imaging, symptom scales, cognitive testing, and standardized assessment for diagnosis; history and risk factor assessment, monitoring, and counseling for prognosis; and patient/family education, rest, support, return to school, and symptom management for treatment.

Conclusions and Relevance

This guideline identifies the best practices for mTBI based on the current evidence; updates should be made as the body of evidence grows. In addition to the development of the guideline, CDC has created user-friendly guideline implementation materials that are concise and actionable. Evaluation of the guideline and implementation materials is crucial in understanding the influence of the recommendations.

Vomiting With Head Trauma and Risk of Traumatic Brain Injury

OBJECTIVES

To determine the prevalence of traumatic brain injuries in children who vomit after head injury and identify variables from published clinical decision rules (CDRs) that predict increased risk.

METHODS

Secondary analysis of the Australasian Paediatric Head Injury Rule Study. Vomiting characteristics were assessed and correlated with CDR predictors and the presence of clinically important traumatic brain injury (ciTBI) or traumatic brain injury on computed tomography (TBI-CT). Isolated vomiting was defined as vomiting without other CDR predictors.

RESULTS

Of the 19 920 children enrolled, 3389 (17.0%) had any vomiting, with 2446 (72.2%) >2 years of age. In 172 patients with ciTBI, 76 had vomiting (44.2%; 95% confidence interval [CI] 36.9%-51.7%), and in 285 with TBI-CT, 123 had vomiting (43.2%; 95% CI 37.5%-49.0%). With isolated vomiting, only 1 (0.3%; 95% CI 0.0%-0.9%) had ciTBI and 2 (0.6%; 95% CI 0.0%-1.4%) had TBI-CT. Predictors of increased risk of ciTBI with vomiting by using multivariate regression were as follows: signs of skull fracture (odds ratio [OR] 80.1; 95% CI 43.4-148.0), altered mental status (OR 2.4; 95% CI 1.0-5.5), headache (OR 2.3; 95% CI 1.3-4.1), and acting abnormally (OR 1.86; 95% CI 1.0-3.4). Additional features predicting TBI-CT were as follows: skull fracture (OR 112.96; 95% CI 66.76-191.14), nonaccidental injury concern (OR 6.75; 95% CI 1.54-29.69), headache (OR 2.55; 95% CI 1.52-4.27), and acting abnormally (OR 1.83; 95% CI 1.10-3.06).

CONCLUSIONS

TBI-CT and ciTBI are uncommon in children presenting with head injury with isolated vomiting, and a management strategy of observation without immediate computed tomography appears appropriate.

Factors influencing ED care of young children at-risk for clinically important traumatic brain injury

OBJECTIVES

Care decisions for young children presenting to the emergency department (ED) with head injury are often challenging (e.g. whether to obtain neuroimaging). We sought to identify factors associated with acute management of children at-risk for clinically important traumatic brain injury (ciTBI) and describe symptom management.

METHODS

Observational evaluation of children, ages 0-4years, presenting to a pediatric ED following minor head injury. Children with ≥1 risk element per the Pediatric Emergency Care Academic Research Network's decision rule were deemed "at-risk" for ciTBI. Clinician surveys regarding their initial clinical management were used to identify three care groups. Nonparametric tests analyzed group differences and logistic regression investigated associations of putative high-risk factors with neuroimaging.

RESULTS

Of 104 children enrolled: (i) 30 underwent neuroimaging, (ii) 59 were observed, and (iii) 15 were discharged following the clinician's initial patient exam. Children with a non-frontal scalp hematoma were more likely to receive immediate neuroimaging and children not acting like themselves per caregiver report were more likely to be initially observed, relative to the other care groups (p≤0.01). Among high-risk factors, altered mental status (OR 5.12, 95% CI 1.8-21.1), presence of ≥3 risk elements of the decision rule (OR 3.5, 95% CI 1.2-10.6), unclear skull fracture on exam (OR 31.3, 95% CI 5.4-593.8), and age<3months (OR 5.3, 95% CI 1.5-21.9) were associated with neuroimaging. No child had ciTBI. TBI symptoms (e.g. vomiting) were infrequently treated.

CONCLUSIONS

ED management varied for young children with similar risk stratification. Investigation of how age in concert with specific risk factors influences medical decision making would advance evidenced-based care.

Italian guidelines on the assessment and management of pediatric head injury in the emergency department

OBJECTIVE

We aim to formulate evidence-based recommendations to assist physicians decision-making in the assessment and management of children younger than 16 years presenting to the emergency department (ED) following a blunt head trauma with no suspicion of non-accidental injury.

METHODS

These guidelines were commissioned by the Italian Society of Pediatric Emergency Medicine and include a systematic review and analysis of the literature published since 2005. Physicians with expertise and experience in the fields of pediatrics, pediatric emergency medicine, pediatric intensive care, neurosurgery and neuroradiology, as well as an experienced pediatric nurse and a parent representative were the components of the guidelines working group. Areas of direct interest included 1) initial assessment and stabilization in the ED, 2) diagnosis of clinically important traumatic brain injury in the ED, 3) management and disposition in the ED. The guidelines do not provide specific guidance on the identification and management of possible associated cervical spine injuries. Other exclusions are noted in the full text.

CONCLUSIONS

Recommendations to guide physicians practice when assessing children presenting to the ED following blunt head trauma are reported in both summary and extensive format in the guideline document.

Pediatric Emergency Care Applied Research Network head injuryprediction rules: on the basis of cost and effectiveness

Background/aim: Head injuries are commonly seen in the pediatric population. Noncontrast enhanced cranial CT is the method of choice to detect possible traumatic brain injury (TBI). Concerns about ionizing radiation exposure make the evaluation more challenging. The aim of this study was to evaluate the effectiveness of the Pediatric Emergency Care Applied Research Network (PECARN) rules in predicting clinically important TBI and to determine the amount of medical resource waste and unnecessary radiation exposure.Materials and methods: This retrospective study included 1041 pediatric patients presented to the emergency department. The patients were divided into subgroups of "appropriate for cranial CT", "not appropriate for cranial CT" and "cranial CT/observation of patient; both are appropriate". To determine the effectiveness of the PECARN rules, data were analyzed according to the presence of pathological findings Results: "Appropriate for cranial CT" results can predict pathology presence 118,056-fold compared to the "not appropriate for cranial CT" results. With "cranial CT/observation of patient; both are appropriate" results, pathology presence was predicted 11,457-fold compared to "not appropriate for cranial CT" results.Conclusion: PECARN rules can predict pathology presence successfully in pediatric TBI. Using PECARN can decrease resource waste and exposure to ionizing radiation.

Influence of guidelines on management of paediatric mild traumatic brain injury: CT-assessment and admission policy

BACKGROUND

The annual number of paediatric injury-related emergency visits and application of computed tomography (CT) has substantially increased, with associated higher risk of malignancies. In 2010, a guideline for CT-assessment based on risk factors for patients with mild traumatic brain injury (mTBI) became effective in all Emergency Departments (ED) in the Netherlands. This study evaluated the influence of this guideline on the frequency of CT-assessments, hospital admissions and factors that are related to guideline adherence.

METHODS

Retrospective cohort study of paediatric mTBI (<18 years), defined by Glasgow Coma Scale score of 13-15 admitted to the ED of the University Medical Center Groningen from 2008 to 2014. Data before (pre-GL) and after (post-GL) introduction of the guideline were evaluated. Primary outcome parameters were frequency of CT-assessments and hospital admissions after ED.

RESULTS

In total 633 patients were enrolled and data from pre-GL (n = 216) and post-GL (n = 315) were compared. Mean age was 7.9 years (SD 5.9), 59% were male. CT-assessments increased from 32% to 46% (p = .001), mostly in children aged 6-18 years. Hospital admissions increased from 38% to 54% (p < .001), mostly in children <6 years. No significant increase in CT-abnormalities is seen. Guideline adherence was 57%, although CT-assessments varied from 44 to 100% depending on presence of specific major risk factors.

CONCLUSIONS

Introduction of a new guideline on management of paediatric mTBI showed significant increase in CT-assessments and more hospital admissions. In clinical practice, despite increase of guideline adherence the applications of cranial CT-scan varies within age groups and depends on the weighing of risk factors.

Use of Traumatic Brain Injury Prediction Rules With Clinical Decision Support

OBJECTIVES

We determined whether implementing the Pediatric Emergency Care Applied Research Network (PECARN) traumatic brain injury (TBI) prediction rules and providing risks of clinically important TBIs (ciTBIs) with computerized clinical decision support (CDS) reduces computed tomography (CT) use for children with minor head trauma.

METHODS

Nonrandomized trial with concurrent controls at 5 pediatric emergency departments (PEDs) and 8 general EDs (GEDs) between November 2011 and June 2014. Patients were <18 years old with minor blunt head trauma. Intervention sites received CDS with CT recommendations and risks of ciTBI, both for patients at very low risk of ciTBI (no Pediatric Emergency Care Applied Research Network rule factors) and those not at very low risk. The primary outcome was the rate of CT, analyzed by site, controlling for time trend.

RESULTS

We analyzed 16 635 intervention and 2394 control patients. Adjusted for time trends, CT rates decreased significantly (P < .05) but modestly (2.3%-3.7%) at 2 of 4 intervention PEDs for children at very low risk. The other 2 PEDs had small (0.8%-1.5%) nonsignificant decreases. CT rates did not decrease consistently at the intervention GEDs, with low baseline CT rates (2.1%-4.0%) in those at very low risk. The control PED had little change in CT use in similar children (from 1.6% to 2.9%); the control GED showed a decrease in the CT rate (from 7.1% to 2.6%). For all children with minor head trauma, intervention sites had small decreases in CT rates (1.7%-6.2%).

CONCLUSIONS

The implementation of TBI prediction rules and provision of risks of ciTBIs by using CDS was associated with modest, safe, but variable decreases in CT use. However, some secular trends were also noted.

Pediatric minor head trauma: do cranial CT scans change the therapeutic approach?

OBJECTIVES:

1) To verify clinical signs correlated with appropriate cranial computed tomography scan indications and changes in the therapeutic approach in pediatric minor head trauma scenarios. 2) To estimate the radiation exposure of computed tomography scans with low dose protocols in the context of trauma and the additional associated risk.

METHODS:

Investigators reviewed the medical records of all children with minor head trauma, which was defined as a Glasgow coma scale ≥13 at the time of admission to the emergency room, who underwent computed tomography scans during the years of 2013 and 2014. A change in the therapeutic approach was defined as a neurosurgical intervention performed within 30 days, hospitalization, >12 hours of observation, or neuro-specialist evaluation.

RESULTS:

Of the 1006 children evaluated, 101 showed some abnormality on head computed tomography scans, including 49 who were hospitalized, 16 who remained under observation and 36 who were dismissed. No patient underwent neurosurgery. No statistically significant relationship was observed between patient age, time between trauma and admission, or signs/symptoms related to trauma and abnormal imaging results. A statistically significant relationship between abnormal image results and a fall higher than 1.0 meter was observed (p=0.044). The mean effective dose was 2.0 mSv (0.1 to 6.8 mSv), corresponding to an estimated additional cancer risk of 0.05%.

CONCLUSION:

A computed tomography scan after minor head injury in pediatric patients did not show clinically relevant abnormalities that could lead to neurosurgical indications. Patients who fell more than 1.0 m were more likely to have changes in imaging tests, although these changes did not require neurosurgical intervention; therefore, the use of computed tomography scans may be questioned in this group. The results support the trend of more careful indications for cranial computed tomography scans for children with minor head trauma.

Comparison of Prediction Rules and Clinician Suspicion for Identifying Children With Clinically Important Brain Injuries After Blunt Head Trauma

OBJECTIVE

Children with minor head trauma frequently present to emergency departments (EDs). Identifying those with traumatic brain injuries (TBIs) can be difficult, and it is unknown whether clinical prediction rules outperform clinician suspicion. Our primary objective was to compare the test characteristics of the Pediatric Emergency Care Applied Research Network (PECARN) TBI prediction rules to clinician suspicion for identifying children with clinically important TBIs (ciTBIs) after minor blunt head trauma. Our secondary objective was to determine the reasons for obtaining computed tomography (CT) scans when clinical suspicion of ciTBI was low.

METHODS

This was a planned secondary analysis of a previously conducted observational cohort study conducted in PECARN to derive and validate clinical prediction rules for ciTBI among children with minor blunt head trauma in 25 PECARN EDs. Clinicians recorded their suspicion of ciTBI before CT as <1, 1-5, 6-10, 11-50, or >50%. We defined ciTBI as 1) death from TBI, 2) neurosurgery, 3) intubation for more than 24 hours for TBI, or 4) hospital admission of 2 nights or more associated with TBI on CT. To avoid overfitting of the prediction rules, we performed comparisons of the prediction rules and clinician suspicion on the validation group only. On the validation group, we compared the test accuracies of clinician suspicion > 1% versus having at least one predictor in the PECARN TBI age-specific prediction rules for identifying children with ciTBIs (one rule for children <2 years [preverbal], the other rule for children >2 years [verbal]).

RESULTS

In the parent study, we enrolled 8,627 children to validate the prediction rules, after enrolling 33,785 children to derive the prediction rules. In the validation group, clinician suspicion of ciTBI was recorded in 8,496/8,627 (98.5%) patients, and 87 (1.0%) had ciTBIs. CT scans were obtained in 2,857 (33.6%) patients in the validation group for whom clinician suspicion of ciTBI was recorded, including 2,099/7,688 (27.3%) of those with clinician suspicion of ciTBI of <1% and 758/808 (93.8%) of those with clinician suspicion >1%. The PECARN prediction rules were significantly more sensitive than clinician suspicion >1% of ciTBI for preverbal (100% [95% confidence interval {CI} = 86.3% to 100%] vs. 60.0% [95% CI = 38.7% to 78.9%]) and verbal children (96.8% [95% CI = 88.8% to 99.6%] vs. 64.5% [95% CI = 51.3% to 76.3%]). Prediction rule specificity, however, was lower than clinician suspicion >1% for preverbal children (53.6% [95% CI = 51.5% to 55.7%] vs. 92.4% [95% CI = 91.2% to 93.5%]) and verbal children (58.2% [95% CI = 56.9% to 59.4%] vs. 90.6% [95% CI = 89.8% to 91.3%]). Of the 7,688 patients in the validation group with clinician suspicion recorded as <1%, CTs were nevertheless obtained in 2,099 (27.3%). Three of 16 (18.8%) patients undergoing neurosurgery had clinician suspicion of ciTBI <1%.

CONCLUSIONS

The PECARN TBI prediction rules had substantially greater sensitivity, but lower specificity, than clinician suspicion of ciTBI for children with minor blunt head trauma. Because CT ordering did not follow clinician suspicion of <1%, these prediction rules can augment clinician judgment and help obviate CT ordering for children at very low risk of ciTBI.

Scandinavian guidelines for initial management of minor and moderate head trauma in children

BACKGROUND

The management of minor and moderate head trauma in children differs widely between countries. Presently, there are no existing guidelines for management of these children in Scandinavia. The purpose of this study was to produce new evidence-based guidelines for the initial management of head trauma in the paediatric population in Scandinavia. The primary aim was to detect all children in need of neurosurgical intervention. Detection of any traumatic intracranial injury on CT scan was an important secondary aim.

METHODS

General methodology according to the Appraisal of Guidelines for Research and Evaluation (AGREE) II and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system was used. Systematic evidence-based review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology and based upon relevant clinical questions with respect to patient-important outcomes. Quality ratings of the included studies were performed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 and Centre of Evidence Based Medicine (CEBM)-2 tools. Based upon the results, GRADE recommendations, a guideline, discharge instructions and in-hospital observation instructions were drafted. For elements with low evidence, a modified Delphi process was used for consensus, which included relevant clinical stakeholders.

RESULTS

The guidelines include criteria for selecting children for CT scans, in-hospital observation or early discharge, and suggestions for monitoring routines and discharge advice for children and guardians. The guidelines separate mild head trauma patients into high-, medium- and low-risk categories, favouring observation for mild, low-risk patients as an attempt to reduce CT scans in children.

CONCLUSIONS

We present new evidence and consensus based Scandinavian Neurotrauma Committee guidelines for initial management of minor and moderate head trauma in children. These guidelines should be validated before extensive clinical use and updated within four years due to rapid development of new diagnostic tools within paediatric neurotrauma.

Association of a Guardian's Report of a Child Acting Abnormally With Traumatic Brain Injury After Minor Blunt Head Trauma

IMPORTANCE

Increased use of computed tomography (CT) in children is concerning owing to the cancer risk from ionizing radiation, particularly in children younger than 2 years. A guardian report that a child is acting abnormally is a risk factor for clinically important traumatic brain injury (ciTBI) and may be a driving factor for CT use in the emergency department.

OBJECTIVE

To determine the prevalence of ciTBIs and TBIs in children younger than 2 years with minor blunt head trauma and a guardian report of acting abnormally with (1) no other findings or (2) other concerning findings for TBI.

DESIGN, SETTING, AND PARTICIPANTS

Secondary analysis of a large, prospective, multicenter cohort study that included 43 399 children younger than 18 years with minor blunt head trauma evaluated in 25 emergency departments. The study was conducted on data obtained between June 2004 and September 2006. Data analysis was performed between August 21, 2014, and March 9, 2015.

EXPOSURES

A guardian report that the child was acting abnormally after minor blunt head trauma.

MAIN OUTCOMES AND MEASURES

The prevalence of ciTBI (defined as death, neurosurgery, intubation for >24 hours, or hospitalization for ≥2 nights in association with TBI on CT imaging) and TBI on CT imaging in children with a guardian report of acting abnormally with (1) no other findings and (2) other concerning findings for TBI.

RESULTS

Of 43 399 children in the cohort study, a total of 1297 children had reports of acting abnormally, of whom 411 (31.7%) had this report as their only finding. Reported as percentage (95% CI), 1 of 411 (0.2% [0-1.3%]) had a ciTBI, and 4 TBIs were noted on the CT scans in 185 children who underwent imaging (2.2% [0.6%-5.4%]). In children with reports of acting abnormally and other concerning findings for TBI, 29 of 886 (3.3% [2.2%-4.7%]) had ciTBIs and 66 of 674 (9.8% [7.7%-12.3%]) had TBIs on CT.

CONCLUSIONS AND RELEVANCE

Clinically important TBIs are very uncommon, and TBIs noted on CT are uncommon in children younger than 2 years with minor blunt head trauma and guardian reports of the child acting abnormally with no other clinical findings suspicious for TBI. Computed tomographic scans are generally not indicated in these children although observation in the emergency department may be warranted.

Generation of Evidence and Translation Into Practice: Lessons Learned and Future Directions

The generation, validation, and then translation of definitive evidence to bedside evidence-based practice is inconsistent and presents many challenges to emergency department (ED) researchers and clinicians. This is particularly true for diagnostic imaging in the ED, where benefits and drawbacks may be difficult to assess in the chaotic ED setting. This article describes, in large part, the experience of the Pediatric Emergency Care Applied Research Network (PECARN) in deriving and validating the traumatic brain injury prediction rules and how PECARN is translating these prediction rules into clinical practice. Furthermore, we discuss the potential for patient/parent shared decision-making with a focus on patient-centered outcomes in ED research and the role this shared decision-making may play in enhancing knowledge translation and implementation of evidence-based care in the ED.

Predictors for moderate to severe paediatric head injury derived from a surveillance registry in the emergency department

INTRODUCTION AND AIM

Head injuries are a common complaint among children presenting to the emergency department (ED). This study is part of an ongoing prospective surveillance of head injured children presenting to a paediatric ED. We aim to derive predictors for moderate to severe head injury in our population.

MATERIALS AND METHODS

We performed an unmatched case-control study. Cases were defined as those who presented to the ED with moderate to severe head injury, during the period from 2006 to 2014. Controls were obtained from the prospective surveillance head injury database and were children who presented to the ED with head injury but who remained well on follow up. We compared variables from demographics, mechanism of injury, history, and physical examination.

RESULTS

There were 39 cases and 1173 controls. In the prospective database, our event rate was 0.5% and our computed tomography (CT) rate was 1%. Among those with moderate to severe head injury, they were more likely to be involved in road traffic accidents, have a history of difficult arousal, confusion or disorientation and a history of seizure. On physical examination, cases were more likely to have the presence of altered mental status, base of skull fracture, scalp hematoma and anisocoria. On multivariable analysis, the following 4 predictors remained statistically significant: Involvement in road traffic accident (p<0.001), difficult arousal (p<0.001), vomiting (p=0.003) and signs of base of skull fracture (p<0.001). Using these 4 variables, the Area under Curve was 0.97 {Sensitivity 92.3% (79.1-98.4%), Specificity 93.0% (91.4-94.4%), positive predictive value 30.5% (22-40%), negative predictive value 99.7% (99.2-99.9%)}.

CONCLUSION

Involvement in road traffic accident, difficult arousal, base of skull fracture and vomiting are independent predictors for moderate to severe head injury in our paediatric population.

The Pediatric Emergency Care Applied Research Network: a history of multicenter collaboration in the United States

In this article, we review the history and progress of a large multicenter research network pertaining to emergency medical services for children. We describe the history, organization, infrastructure, and research agenda of the Pediatric Emergency Care Applied Research Network and highlight some of the important accomplishments since its inception. We also describe the network's strategy to grow its research portfolio, train new investigators, and study how to translate new evidence into practice. This strategy ensures not only the sustainability of the network in the future but the growth of research in emergency medical services for children in general.

The Pediatric Emergency Care Applied Research Network intermediate-risk predictors were not associated with scanning decisions for minor head injuries

AIM

This study determined the predictors associated with the decision to perform a computed tomography (CT) scan in children with a minor head injury (MHI). We focused on those facing an intermediate risk of clinically important traumatic brain injury (ciTBI), according to the Pediatric Emergency Care Applied Research Network (PECARN) prediction rule.

METHODS

A 1-year, cross-sectional study was performed in an Italian paediatric emergency department, focusing on children presenting within 24 h of an MHI and meeting the PECARN intermediate-risk criteria.

RESULTS

We included 308 children, and 47% were younger than 2 years of age. CT scans were carried out on 13%, 1.3% had a ciTBI and one was initially missed but did not need neurosurgery following diagnosis. Single and multiple PECARN intermediate-risk predictors were not associated with whether a CT scan was carried out. The only clinical variable associated with the decision to perform a CT scan was if the child was <3 months of age (OR 18.1, 95% CI, 4.91-66.61).

CONCLUSION

The PECARN intermediate-risk predictors did not play a major role in the decision to perform a CT scan. The only factor significantly associated with the decision to perform a CT scan was when the patient was younger than 3 months of age.

The Pediatric Emergency Care Applied Research Network: a history of multicenter collaboration in the United States

In this article, we review the history and progress of a large multicenter research network pertaining to emergency medical services for children. We describe the history, organization, infrastructure, and research agenda of the Pediatric Emergency Care Applied Research Network (PECARN), and highlight some of the important accomplishments since its inception. We also describe the network’s strategy to grow its research portfolio, train new investigators, and study how to translate new evidence into practice. This strategy ensures not only the sustainability of the network in the future, but the growth of research in emergency medical services for children in general.