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Aim: To assess computerised tomography (CT) use and the risk of intracranial haemorrhage (ICH) in children with bleeding disorders following a head trauma. Method(s): Design: Multicentre prospective observational study. Setting(s): 10 paediatric emergency departments (ED) in Australia and New Zealand. Patient(s): Children <18 years with and without bleeding disorders assessed in ED following head trauma between April 2011 and November 2014. Intervention(s): Data collection of patient characteristics, management and outcomes. Main Outcome Measure(s): Rate of CT use and frequency of ICH on CT. Result(s): Of 20 137 patients overall, 103 (0.5%) had a congenital or acquired bleeding disorder. CT use was higher in these patients compared with children without bleeding disorders (30.1 vs. 10.4%; rate ratio 2.91 95% CI 2.16-3.91). Only one of 31 (3.2%) children who underwent CT in the ED had an ICH. This patient rapidly deteriorated in the ED on arrival and required neurosurgery. None of the patients with bleeding disorders who did not have a CT obtained in the ED or had an initial negative CT had evidence of ICH on follow up. Conclusion(s): Although children with a bleeding disorder and a head trauma more often received a CT scan in the ED, their risk of ICH seemed low and appeared associated with post-traumatic clinical findings. Selective CT use combined with observation may be cautiously considered in these children based on clinical presentation and severity of bleeding disorder.Copyright © 2020 Paediatrics and Child Health Division (The Royal Australasian College of Physicians)

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. Method(s): 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. Result(s): 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. Conclusion(s): 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-ris

OBJECTIVE: Children with concussion frequently present to emergency departments (EDs). There is limited understanding of the differences in signs, symptoms, and epidemiology of concussion based on patient age. Here, the authors set out to assess the association between age and acute concussion presentations. METHOD(S): The authors conducted a multicenter prospective observational study of head injuries at 10 EDs in Australia and New Zealand. They identified children aged 5 to < 18 years, presenting with a Glasgow Coma Scale score of 13-15, presenting < 24 hours postinjury, with no abnormalities on CT if performed, and one or more signs or symptoms of concussion. They extracted demographic, injury-related, and signs and symptoms information and stratified it by age group (5-8, 9-12, 13 to < 18 years). RESULT(S): Of 8857 children aged 5 to < 18 years, 4709 patients met the defined concussion criteria (5-8 years, n = 1546; 9-12 years, n = 1617; 13 to < 18 years, n = 1546). The mean age of the cohort was 10.9 years, and approximately 70% of the patients were male. Sport-related concussion accounted for 43.7% of concussions overall, increasing from 19.1% to 48.9% to 63.0% in the 5-8, 9-12, and 13 to < 18 years age groups. The most common acute symptoms postinjury were headache (64.6%), disorientation (36.2%), amnesia (30.0%), and vomiting (27.2%). Vomiting decreased with increasing age and was observed in 41.7% of the 5-8 years group, 24.7% of the 9-12 years group, and 15.4% of the 13 to < 18 years group, whereas reported loss of consciousness (LOC) increased with increasing age, occurring in 9.6% in the 5-8 years group, 21.0% in the 9-12 years group, 36.7% in the 13 to < 18 years group, and 22.4% in the entire study cohort. Headache, amnesia, and disorientation followed the latter trajectory. Symptom profiles were broadly similar between males and females. CONCLUSION(S): Concussions presenting to EDs were more sports-related as age increased. Signs and symptoms differed

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 predi

Aim: Abusive head trauma (AHT) is associated with high morbidity and mortality. We aimed to describe characteristics of cases where clinicians suspected AHT and confirmed AHT cases and describe how they differed. Method(s): This was a planned secondary analysis of a prospective multicentre cohort study of head injured children aged <18 years across five centres in Australia and New Zealand. We identified cases of suspected AHT when emergency department clinicians raised suspicion on a clinical report form or based on research assistant-assigned epidemiology codes. Cases were categorised as AHT positive, negative and indeterminate after multidisciplinary review. Suspected and confirmed AHT and non-AHT cases were compared using odds ratios with 95% confidence intervals. Result(s): AHT was suspected in 70 of 13 371 (0.5%) head-injured children. Of these, 23 (32.9%) were categorised AHT positive, 18 (25.7%) AHT indeterminate and 29 (27.1%) AHT negative. Median age was 0.8 years in suspected, 1.4 years in confirmed AHT and 4.1 years in non-AHT cases. Odds ratios (95% confidence interval) for presenting features and outcomes in confirmed AHT versus non-AHT were: loss of consciousness 2.8 (1.2-6.9), scalp haematoma 3.9 (1.7-9.0), seizures 12.0 (4.0-35.5), Glasgow coma scale <=12 30.3 (11.8-78.0), abnormal neuroimaging 38.3 (16.8-87.5), intensive care admission 53.4 (21.6-132.5) and mortality 105.5 (22.2-500.4). Conclusion(s): Emergency department presentations of children with suspected and confirmed AHT had higher rates of loss of consciousness, scalp haematomas, seizures and low Glasgow coma scale. These cases were at increased risk of abnormal computed tomography scans, need for intensive care and death.Copyright © 2019 Paediatrics and Child Health Division (The Royal Australasian College of Physicians)

Aim: To characterise the causes, clinical characteristics and short-term outcomes of neonates who presented to paediatric emergency departments with a head injury. Method(s): Secondary analysis of a prospective data set of paediatric head injuries at 10 emergency departments in Australia and New Zealand. Patients without neuroimaging were followed up by telephone call. We extracted epidemiological information, clinical findings and outcomes in neonates (<=28 days). Result(s): Of 20 137 children with head injuries, 93 (0.5%) occurred in neonates. These were mostly fall-related (75.2%), commonly from a care giver's arms, or due to being accidentally struck by a person/object (20.4%). There were three cases of non-accidental head injuries (3.2%). Most neonates were asymptomatic (67.7%) and many had no findings on examination (47.3%). Most neonates had a Glasgow Coma Scale 15 (89.2%) or 14 (7.5%). A total of 15.1% presented with vomiting and 5.4% were abnormally drowsy. None had experienced a loss of consciousness. The most common findings on examination were scalp haematoma (28.0%) and possible palpable skull fracture (6.5%); 8.6% underwent computed tomography brain scan and 4.3% received an ultrasound. Five of eight computed tomography scan (5.4% of neonates overall) showed traumatic brain injury and two of four (2.2% overall) had traumatic brain injury on ultrasound. Thirty-seven percent were admitted, one patient was intubated and none had neurosurgery or died. Conclusion(s): Neonatal head injuries are rare with a mostly benign short-term outcome and are appropriate for observation. However, non-accidental injuries need to be considered.Copyright © 2019 Paediatrics and Child Health Division (The Royal Australasian College of Physicians)

AIM: To assess computerised tomography (CT) use and the risk of intracranial haemorrhage (ICH) in children with bleeding disorders following a head trauma. METHODS: Design: Multicentre prospective observational study. SETTING: 10 paediatric emergency departments (ED) in Australia and New Zealand. PATIENTS: Children <18 years with and without bleeding disorders assessed in ED following head trauma between April 2011 and November 2014. INTERVENTIONS: Data collection of patient characteristics, management and outcomes. MAIN OUTCOME MEASURES: Rate of CT use and frequency of ICH on CT. RESULTS: Of 20 137 patients overall, 103 (0.5%) had a congenital or acquired bleeding disorder. CT use was higher in these patients compared with children without bleeding disorders (30.1 vs. 10.4%; rate ratio 2.91 95% CI 2.16-3.91). Only one of 31 (3.2%) children who underwent CT in the ED had an ICH. This patient rapidly deteriorated in the ED on arrival and required neurosurgery. None of the patients with bleeding disorders who did not have a CT obtained in the ED or had an initial negative CT had evidence of ICH on follow up. CONCLUSIONS: Although children with a bleeding disorder and a head trauma more often received a CT scan in the ED, their risk of ICH seemed low and appeared associated with post-traumatic clinical findings. Selective CT use combined with observation may be cautiously considered in these children based on clinical presentation and severity of bleeding disorder.

OBJECTIVES: Variation in the management of paediatric head injury has been identified worldwide. This prospective study describes imaging and admission practices of children presenting with head injury across 10 hospital EDs in Australia and New Zealand. METHODS: Prospective observational multicentre study of 20 137 children (under 18 years) as a planned secondary analysis of the Australasian Paediatric Head Injury Rules Study. All presentations with head injury without prior imaging were eligible for inclusion. Variations in rates of computed tomography of the brain (CTB) and admission practices between sites, ED type and country were investigated, as were clinically important traumatic brain injuries (ciTBIs) and abnormal CTBs within CTBs. RESULTS: Among the 20 137 enrolled patients, the site adjusted CTB rate was 11.2% (95% confidence interval [CI] 7.8-14.6); individual sites ranged from 2.6 to 18.6%. ciTBI was found in 0.4-2.2%, with abnormal scans documented in 0.7-6.5%. As a percentage of CTBs undertaken, ciTBIs were found in 12.8% (95% CI 10.8-14.7) with individual site variation of 8.8-16.9%, and no statistically significant difference noted, and traumatic abnormalities in 29.3% (95% CI 26.2-32.3) with individual site variation between 19.4 and 35.6%. Among those under 2 years,traumatic abnormalities were found in greater than 50% of CTBs at 90% of sites. Admission rate overall was 24.0% (site adjusted) with wide variation between sites (5.0-48.9%). CONCLUSION: Across the 10 largely tertiary EDs included in this study, the overall CTB rate was low with no significant variation between sites when adjusted for ciTBIs.

BACKGROUND: Management of children with minor blunt head trauma often includes a period of observation to determine the need for cranial computed tomography (CT). Our objective was to estimate the effect of planned observation on CT use for each Pediatric Emergency Care Applied Research Network (PECARN) traumatic brain injury (TBI) risk group among children with minor head trauma. METHODS: This was a secondary analysis of a prospective observational study at 10 emergency departments (EDs) in Australia and New Zealand, including 18,471 children < 18 years old, presenting within 24 hours of blunt head trauma, with Glasgow Coma Scale scores of 14 to 15. The planned observation cohort was defined by those with planned observation and no immediate plan for cranial CT. The comparison cohort included the rest of the patients who were either not observed or for whom a decision to obtain a cranial CT was made immediately after ED assessment. The outcome clinically important TBI (ciTBI) was defined as death due to head trauma, neurosurgery, intubation for > 24 hours for head trauma, or hospitalization for ≥ 2 nights in association with a positive cranial CT scan. We estimated the odds of cranial CT use with planned observation, adjusting for patient characteristics, PECARN TBI risk group, history of seizure, time from injury, and hospital clustering, using a generalized linear model with mixed effects. RESULTS: The cranial CT rate in the total cohort was 8.6%, and 0.8% had ciTBI. The planned observation group had 4,945 (27%) children compared to 13,526 (73%) in the no planned observation group. Cranial CT use was significantly lower with planned observation (adjusted odds ratio [OR] = 0.2, 95% confidence interval [CI] = 0.1 to 0.1), with no difference in missed ciTBI rates. There was no difference in the odds of cranial CT use with planned observation for the group at very low risk for ciTBI (adjusted OR = 0.9, 95% CI = 0.5 to 1.4). Planned observation was associated with sig

AIM: To characterise the causes, clinical characteristics and short-term outcomes of neonates who presented to paediatric emergency departments with a head injury. METHODS: Secondary analysis of a prospective data set of paediatric head injuries at 10 emergency departments in Australia and New Zealand. Patients without neuroimaging were followed up by telephone call. We extracted epidemiological information, clinical findings and outcomes in neonates (≤28 days). RESULTS: Of 20 137 children with head injuries, 93 (0.5%) occurred in neonates. These were mostly fall-related (75.2%), commonly from a care giver's arms, or due to being accidentally struck by a person/object (20.4%). There were three cases of non-accidental head injuries (3.2%). Most neonates were asymptomatic (67.7%) and many had no findings on examination (47.3%). Most neonates had a Glasgow Coma Scale 15 (89.2%) or 14 (7.5%). A total of 15.1% presented with vomiting and 5.4% were abnormally drowsy. None had experienced a loss of consciousness. The most common findings on examination were scalp haematoma (28.0%) and possible palpable skull fracture (6.5%); 8.6% underwent computed tomography brain scan and 4.3% received an ultrasound. Five of eight computed tomography scan (5.4% of neonates overall) showed traumatic brain injury and two of four (2.2% overall) had traumatic brain injury on ultrasound. Thirty-seven percent were admitted, one patient was intubated and none had neurosurgery or died. CONCLUSIONS: Neonatal head injuries are rare with a mostly benign short-term outcome and are appropriate for observation. However, non-accidental injuries need to be considered.

AIM: Abusive head trauma (AHT) is associated with high morbidity and mortality. We aimed to describe characteristics of cases where clinicians suspected AHT and confirmed AHT cases and describe how they differed. METHODS: This was a planned secondary analysis of a prospective multicentre cohort study of head injured children aged <18 years across five centres in Australia and New Zealand. We identified cases of suspected AHT when emergency department clinicians raised suspicion on a clinical report form or based on research assistant-assigned epidemiology codes. Cases were categorised as AHT positive, negative and indeterminate after multidisciplinary review. Suspected and confirmed AHT and non-AHT cases were compared using odds ratios with 95% confidence intervals. RESULTS: AHT was suspected in 70 of 13 371 (0.5%) head-injured children. Of these, 23 (32.9%) were categorised AHT positive, 18 (25.7%) AHT indeterminate and 29 (27.1%) AHT negative. Median age was 0.8 years in suspected, 1.4 years in confirmed AHT and 4.1 years in non-AHT cases. Odds ratios (95% confidence interval) for presenting features and outcomes in confirmed AHT versus non-AHT were: loss of consciousness 2.8 (1.2-6.9), scalp haematoma 3.9 (1.7-9.0), seizures 12.0 (4.0-35.5), Glasgow coma scale ≤12 30.3 (11.8-78.0), abnormal neuroimaging 38.3 (16.8-87.5), intensive care admission 53.4 (21.6-132.5) and mortality 105.5 (22.2-500.4). CONCLUSIONS: Emergency department presentations of children with suspected and confirmed AHT had higher rates of loss of consciousness, scalp haematomas, seizures and low Glasgow coma scale. These cases were at increased risk of abnormal computed tomography scans, need for intensive care and death.

Background: The Pediatric Emergency Care Applied Research Network (PECARN) decision rule demonstrates high sensitivity for identifying children at low risk for clinically important traumatic brain injury (ciTBI). As with the PECARN rule, the Israeli Decision Algorithm for Identifying TBI in Children (IDITBIC) recommends proceeding directly to computed tomography (CT) in children with Glasgow Coma Score (GCS) <15. The aim was to assess the diagnostic accuracy of two clinical rules that assign children with GCS <15 at presentation directly to CT. Material(s) and Method(s): Accuracy analysis for detecting ciTBI was performed on a multicenter cohort of children used in the Australasian Pediatric Head Injury Rules Study. Result(s): The external cohort included 18,913 children; 1691 (8.9%) had CT scan, 160 had ciTBI, and 24 (0.13%) had neurosurgery. Applying IDITBIC and PECARN rules would have missed 11 and 1 ciTBI patients; respectively. All patients with missed injuries were classified as such based on a hospital stay of >2 d. None of these patients died, needed neurosurgery, or required ventilatory support. In children aged <2 y, sensitivity, specificity, positive predictive value and negative predictive value of IDITBIC and PECARN rule were 95.2%, 79.5%, 3.8%, and 99.9% and 100.0%, 59.1%, 2.0%, and 100.0%, respectively. In children >=2 y, sensitivity, specificity, positive predictive value and negative predictive value of IDITBIC and PECARN rule were 92.4%, 75.3%, 3.1%, and 99.9% and 99.2%, 52.9%, 1.7%, and 100.0%, respectively. Conclusion(s): The two decision rules demonstrated high accuracy in identifying ciTBI. As a screening tool, the PECARN rule outperformed IDITBIC. The findings suggest that clinicians should strongly consider directing children with GCS <15 at presentation to CT scan.Copyright © 2019 Elsevier Inc.

Objective: Although there is a large body of research on head injury (HI) inflicted by caregivers in young children, little is known about intentional HI in older children and inflicted HI by perpetrators other than carers. Therefore, we set out to describe epidemiology, demographics and severity of intentional HIs in childhood. Method(s): A planned secondary analysis of a prospective multicentre cohort study was conducted in 10 EDs in Australia and New Zealand, including children aged <18 years with HIs. Epidemiology codes were used to prospectively code the injuries. Demographic and clinical information including the rate of clinically important traumatic brain injury (ciTBI: HI leading to death, neurosurgery, intubation >1 day or admission >=2 days with abnormal computed tomography [CT]) was descriptively analysed. Result(s): Intentional injuries were identified in 372 of 20 137 (1.8%) head-injured children. Injuries were caused by caregivers (103, 27.7%), by peers (97, 26.1%), by siblings (47, 12.6%), by strangers (35, 9.4%), by persons with unknown relation to the patient (21, 5.6%), other intentional injuries (8, 2.2%) or undetermined intent (61, 16.4%). About 75.7% of victims of assault by caregivers were <2 years, whereas in other categories, only 4.9% were <2 years. Overall, 66.9% of victims were male. Rates of CT performance and abnormal CT varied: assault by caregivers 68.9%/47.6%, by peers 18.6%/27.8%, by strangers 37.1%/5.7%. ciTBI rate was 22.3% in assault by caregivers, 3.1% when caused by peers and 0.0% with other perpetrators. Conclusion(s): Intentional HI is infrequent in children. The most frequently identified perpetrators are caregivers and peers. Caregiver injuries are particularly severe.Copyright © 2018 Australasian College for Emergency Medicine

Objective The National Emergency X-Radiography Utilisation Study II (NEXUS II) clinical decision rule (CDR) can be used to optimise the use of CT in children with head trauma. We set out to externally validate this CDR in a large cohort. Methods We performed a prospective observational study of patients aged <18 years presenting with head trauma of any severity to 10 Australian/New Zealand EDs. In a planned secondary analysis, we assessed the accuracy of the NEXUS II CDR (with 95% CI) to detect clinically important intracranial injury (ICI). We also assessed clinician accuracy without the rule. Results Of 20 137 total patients, we excluded 28 with suspected penetrating injury. Median age was 4.2 years. CTs were obtained in ED for 1962 (9.8%), of whom 377 (19.2%) had ICI as defined by NEXUS II. 74 (19.6% of ICI) patients underwent neurosurgery. Sensitivity for ICI based on the NEXUS II CDR was 379/383 (99.0 (95% CI 97.3% to 99.7%)) and specificity was 9320/19 726 (47.2% (95% CI 46.5% to 47.9%)) for the total cohort. Sensitivity in the CT-only cohort was similar. Of the 18 022 children without CT in ED, 49.4% had at least one NEXUS II risk criterion. Sensitivity for ICI by the clinicians without the rule was 377/377 (100.0% (95% CI 99.0% to 100.0%)) and specificity was 18 147/19 732 (92.0% (95% CI 91.6% to 92.3%)). Conclusions NEXUS II had high sensitivity, similar to the derivation study. However, approximately half of unimaged patients were positive for NEXUS II risk criteria; this may result in an increased CT rate in a setting with high clinician accuracy.Copyright © 2019 Author(s).

OBJECTIVE: Although there is a large body of research on head injury (HI) inflicted by caregivers in young children, little is known about intentional HI in older children and inflicted HI by perpetrators other than carers. Therefore, we set out to describe epidemiology, demographics and severity of intentional HIs in childhood. METHODS: A planned secondary analysis of a prospective multicentre cohort study was conducted in 10 EDs in Australia and New Zealand, including children aged <18 years with HIs. Epidemiology codes were used to prospectively code the injuries. Demographic and clinical information including the rate of clinically important traumatic brain injury (ciTBI: HI leading to death, neurosurgery, intubation >1 day or admission ≥2 days with abnormal computed tomography [CT]) was descriptively analysed. RESULTS: Intentional injuries were identified in 372 of 20 137 (1.8%) head-injured children. Injuries were caused by caregivers (103, 27.7%), by peers (97, 26.1%), by siblings (47, 12.6%), by strangers (35, 9.4%), by persons with unknown relation to the patient (21, 5.6%), other intentional injuries (8, 2.2%) or undetermined intent (61, 16.4%). About 75.7% of victims of assault by caregivers were <2 years, whereas in other categories, only 4.9% were <2 years. Overall, 66.9% of victims were male. Rates of CT performance and abnormal CT varied: assault by caregivers 68.9%/47.6%, by peers 18.6%/27.8%, by strangers 37.1%/5.7%. ciTBI rate was 22.3% in assault by caregivers, 3.1% when caused by peers and 0.0% with other perpetrators. CONCLUSIONS: Intentional HI is infrequent in children. The most frequently identified perpetrators are caregivers and peers. Caregiver injuries are particularly severe.

Background: Sports-related head injuries (HIs) are frequent in children. There are few large-scale assessments correlating type of sport and severity of injury in Emergency Department (EDs) presentations. Objective(s): To describe the outcomes of sports-related HIs in a large cohort of patients presenting to EDs in Australia and New Zealand. Method(s): Planned secondary analysis of a prospective observational study of children who presented with a sports-related HIs at 10 Australian/New Zealand paediatric EDs. We assessed epidemiology, clinical characteristics, and outcome of clinically important traumatic brain injury (ciTBI) (death, neurosurgery, intubation > 24 h and admission >2 d with abnormal CT). Relative risk (RR) for ciTBI was calculated for individual sports. Result(s): Of 9,199 patients with HIs aged 5 to <18 years, 3,177 (34.5%) had sports related HIs. 2482 (78.0%) were male. 524 (16.5%) underwent neuroimaging, 64 (2.0%) had traumatic brain injury on CT and 45 (1.4%) ciTBI. Sports categories were high speed (1088, 34.3%), contact (1032, 32.5%), ball sports (495, 15.6%), club/bat (239, 7.5%), water (230, 7.2%), dance related (63, 2.0%) and racket sports (30, 0.9%) with ciTBI in 36 (3.3%) high speed, 6 (2.5%) club/bat and 3 (0.3%) contact sports and none in other sports. For individual sports RRs for ciTBI were horse riding 5.9 (2.5-14.1), bike riding 4.4 (2.6-7.7), skateboarding 3.8 (1.7-8.5), hockey 2.1 (0.5-8.9), football 0.3 (0.0-2.4), rugby 0.23 (0.0-1.7). Conclusion(s): Paediatric sports-related HIs frequently present to EDs. However, ciTBIs are rare with higher rates in horse riding, bike riding and skateboarding.

Aim: Penetrating head injuries (pHIs) are associated with high morbidity and mortality. Data on pHIs in children outside North America are limited. We describe the mechanism of injuries, neuroimaging findings, neurosurgery and mortality for pHIs in Australia and New Zealand. Method(s): This was a planned secondary analysis of a prospective observational study of children <18 years who presented with a head injury of any severity at any of 10 predominantly paediatric Australian/New Zealand emergency departments (EDs) between 2011 and 2014. We reviewed all cases where clinicians had clinically suspected pHI as well as all cases of clinically important traumatic brain injuries (death, neurosurgery, intubation >24 h, admission >2 days and abnormal computed tomography). Result(s): Of 20 137 evaluable patients with a head injury, 21 (0.1%) were identified to have sustained a pHI. All injuries were of non-intentional nature, and there were no gunshot wounds. The mechanisms of injuries varied from falls, animal attack, motor vehicle crashes and impact with objects. Mean Glasgow Coma Scale on ED arrival was 10; 10 (48%) had a history of loss of consciousness, and 7 (33%) children were intubated pre-hospital or in the ED. Fourteen (67%) children underwent neurosurgery, two (10%) craniofacial surgery, and five (24%) were treated conservatively; four (19%) patients died. Conclusion(s): Paediatric pHIs are very rare in EDs in Australia and New Zealand but are associated with high morbidity and mortality. The absence of firearm-related injuries compared to North America is striking and may reflect Australian and New Zealand firearm regulations.Copyright © 2018 Paediatrics and Child Health Division (The Royal Australasian College of Physicians)

Background: Clinical decision rules (CDRs) aid in the management of children with traumatic brain injury (TBI). Recently, the Scandinavian Neurotrauma Committee (SNC) has published practical, evidence-based guidelines for children with Glasgow Coma Scale (GCS) scores of 9-15. This study aims to validate these guidelines and to compare them with other CDRs. Method(s): A large prospective cohort of children (< 18 years) with TBI of all severities, from ten Australian and New Zealand hospitals, was used to assess the SNC guidelines. Firstly, a validation study was performed according to the inclusion and exclusion criteria of the SNC guideline. Secondly, we compared the accuracy of SNC, CATCH, CHALICE and PECARN CDRs in patients with GCS 13-15 only. Diagnostic accuracy was calculated for outcome measures of need for neurosurgery, clinically important TBI (ciTBI) and brain injury on CT. Result(s): The SNC guideline could be applied to 19,007/20,137 of patients (94.4%) in the validation process. The frequency of ciTBI decreased significantly with stratification by decreasing risk according to the SNC guideline. Sensitivities for the detection of neurosurgery, ciTBI and brain injury on CT were 100.0% (95% CI 89.1-100.0; 32/32), 97.8% (94.5-99.4; 179/183) and 95% (95% CI 91.6-97.2; 262/276), respectively, with a CT/admission rate of 42% (mandatory CT rate of 5%, 18% CT or admission and 19% only admission). Four patients with ciTBI were missed; none needed specific intervention. In the homogenous comparison cohort of 18,913 children, the SNC guideline performed similar to the PECARN CDR, when compared with the other CDRs. Conclusion(s): The SNC guideline showed a high accuracy in a large external validation cohort and compares well with published CDRs for the management of paediatric TBI.Copyright © 2018 The Author(s).

Study objective: Three clinical decision rules for head injuries in children (Pediatric Emergency Care Applied Research Network [PECARN], Canadian Assessment of Tomography for Childhood Head Injury [CATCH], and Children's Head Injury Algorithm for the Prediction of Important Clinical Events [CHALICE]) have been shown to have high performance accuracy. The utility of any of these in a particular setting depends on preexisting clinician accuracy. We therefore assess the accuracy of clinician practice in detecting clinically important traumatic brain injury. Method(s): This was a planned secondary analysis of a prospective observational study of children younger than 18 years with head injuries at 10 Australian and New Zealand centers. In a cohort of children with mild head injuries (Glasgow Coma Scale score 13 to 15, presenting in <24 hours) we assessed physician accuracy (computed tomography [CT] obtained in emergency departments [EDs]) for the standardized outcome of clinically important traumatic brain injury and compared this with the accuracy of PECARN, CATCH, and CHALICE. Result(s): Of 20,137 children, 18,913 had a mild head injury. Of these patients, 1,579 (8.3%) received a CT scan during the ED visit, 160 (0.8%) had clinically important traumatic brain injury, and 24 (0.1%) underwent neurosurgery. Clinician identification of clinically important traumatic brain injury based on CT performed had a sensitivity of 158 of 160, or 98.8% (95% confidence interval [CI] 95.6% to 99.8%) and a specificity of 17,332 of 18,753, or 92.4% (95% CI 92.0% to 92.8%). Sensitivity of PECARN for children younger than 2 years was 42 of 42 (100.0%; 95% CI 91.6% to 100.0%), and for those 2 years and older, it was 117 of 118 (99.2%; 95% CI 95.4% to 100.0%); for CATCH (high/medium risk), it was 147 of 160 (91.9%; 95% CI 86.5% to 95.6%); and for CHALICE, 148 of 160 (92.5%; 95% CI 87.3% to 96.1%). Conclusion(s): In a setting with high clinician accuracy and a low CT rate, PECARN, CATCH, or

Objective: To prospectively compare the proportion of traumatic brain injuries (TBIs) that would be classified as mild by applying different published definitions of mild TBI to a large prospectively collected dataset, and to examine the variability in the proportions included by various definitions. Design(s): Prospective observational study. Setting(s): Hospital emergency departments. Participant(s): Children (N=11,907) aged 3 to 16 years (mean age, 8.2+/-3.9y). Of the participants, 3868 (32.5%) were girls, and 7374 (61.9%) of the TBIs were the result of a fall. Median Glasgow Coma Scale score was 15. Main Outcome Measure(s): We applied 17 different definitions of mild TBI, identified through a published systematic review, to children aged 3 to 16 years. Adjustments and clarifications were made to some definitions. The number and percentage identified for each definition is presented. Result(s): Adjustments had to be made to the 17 definitions to apply to the dataset: none in 7, minor to substantial in 10. The percentage classified as mild TBI across definitions varied from 7.1% (n=841) to 98.7% (n=11,756) and varied by age group. Conclusion(s): When applying the 17 definitions of mild TBI to a large prospective multicenter dataset of TBI, there was wide variability in the number of cases classified. Clinicians and researchers need to be aware of this variability when examining literature concerning children with mild TBI.Copyright © 2018 American Congress of Rehabilitation Medicine

AIM: Penetrating head injuries (pHIs) are associated with high morbidity and mortality. Data on pHIs in children outside North America are limited. We describe the mechanism of injuries, neuroimaging findings, neurosurgery and mortality for pHIs in Australia and New Zealand. METHODS: This was a planned secondary analysis of a prospective observational study of children <18 years who presented with a head injury of any severity at any of 10 predominantly paediatric Australian/New Zealand emergency departments (EDs) between 2011 and 2014. We reviewed all cases where clinicians had clinically suspected pHI as well as all cases of clinically important traumatic brain injuries (death, neurosurgery, intubation >24 h, admission >2 days and abnormal computed tomography). RESULTS: Of 20 137 evaluable patients with a head injury, 21 (0.1%) were identified to have sustained a pHI. All injuries were of non-intentional nature, and there were no gunshot wounds. The mechanisms of injuries varied from falls, animal attack, motor vehicle crashes and impact with objects. Mean Glasgow Coma Scale on ED arrival was 10; 10 (48%) had a history of loss of consciousness, and 7 (33%) children were intubated pre-hospital or in the ED. Fourteen (67%) children underwent neurosurgery, two (10%) craniofacial surgery, and five (24%) were treated conservatively; four (19%) patients died. CONCLUSIONS: Paediatric pHIs are very rare in EDs in Australia and New Zealand but are associated with high morbidity and mortality. The absence of firearm-related injuries compared to North America is striking and may reflect Australian and New Zealand firearm regulations.

BACKGROUND: Clinical decision rules (CDRs) aid in the management of children with traumatic brain injury (TBI). Recently, the Scandinavian Neurotrauma Committee (SNC) has published practical, evidence-based guidelines for children with Glasgow Coma Scale (GCS) scores of 9-15. This study aims to validate these guidelines and to compare them with other CDRs. METHODS: A large prospective cohort of children (< 18 years) with TBI of all severities, from ten Australian and New Zealand hospitals, was used to assess the SNC guidelines. Firstly, a validation study was performed according to the inclusion and exclusion criteria of the SNC guideline. Secondly, we compared the accuracy of SNC, CATCH, CHALICE and PECARN CDRs in patients with GCS 13-15 only. Diagnostic accuracy was calculated for outcome measures of need for neurosurgery, clinically important TBI (ciTBI) and brain injury on CT. RESULTS: The SNC guideline could be applied to 19,007/20,137 of patients (94.4%) in the validation process. The frequency of ciTBI decreased significantly with stratification by decreasing risk according to the SNC guideline. Sensitivities for the detection of neurosurgery, ciTBI and brain injury on CT were 100.0% (95% CI 89.1-100.0; 32/32), 97.8% (94.5-99.4; 179/183) and 95% (95% CI 91.6-97.2; 262/276), respectively, with a CT/admission rate of 42% (mandatory CT rate of 5%, 18% CT or admission and 19% only admission). Four patients with ciTBI were missed; none needed specific intervention. In the homogenous comparison cohort of 18,913 children, the SNC guideline performed similar to the PECARN CDR, when compared with the other CDRs. CONCLUSION: The SNC guideline showed a high accuracy in a large external validation cohort and compares well with published CDRs for the management of paediatric TBI.

Aims Clinical decision rules (CDRs) can assist in determining the need for computed tomography (CT) in children with head injuries (HIs). We assessed the accuracy of 3 high quality CDRs (PECARN, CATCH and CHALICE) in a large prospective cohort of head injured children. However in addition to CDR accuracy, the baseline physician accuracy is one of a number of factors which are also important when determining whether a particular rule should be implemented. The objective of this study was to assess the diagnostic accuracy of physician practice in detecting clinically important traumatic brain injuries. Methods Prospective observational study of children<18 years with HIs of any severity at 10 mainly tertiary Australian/New Zealand centres. We extracted a cohort of children with mild HIs (GCS 13-15, presenting <24 hour) and assessed physician accuracy for the standardised outcome of clinically important traumatic brain injury (ciTBI); we compared this with the diagnostic accuracy of the PECARN, CATCH and CHALICE CDRs. Physician accuracy was calculated based on whether CT was obtained during the initial Emergency Department (ED) visit. Results Of 20 137 children, 18 913 had a mild HI as defined. Of these 1578 (8.3% = actual CT rate) received a CT scan during the ED visit; 160 (0.8%) had a ciTBI and 24 (0.1%) underwent neurosurgery. Physician practice accuracy for detecting ciTBI based on whether CTwas performed had a sensitivity of 157/160 ((98.1% (94.6%-99.6%) and a specificity of 17,332/18,753 (92.4% (92.0%-92.8%)). Sensitivity of PECARN <2 years was 42/42 (100.0%, 91.6% to 100.0%), PECARN >2 years 117/118 (99.2%; 95.4% to 100.0%), CATCH (high/medium risk) 147/160 (91.9%; 86.5% to 95.6%) and CHALICE 148/160 (92.5%; 87.3% to 96.1%). Projected CT rates for PECARN <2/>2 years were 8.0%/9.4% (high risk only) to 41.4%/48.5% (high and intermediate risk factors, considering the unlikely scenario that all patients in the intermediate risk group receive a CT scan), for CATCH 3

Aims Clinical decision rules (CDRs) can be applied in Emergency Departments (EDs) to optimise the use of computed tomography (CT) in children with head trauma. The National Emergency XRadiography Utilisation Study II (NEXUS II) CDR, as amended for children, has not been externally validated in a large paediatric cohort. The objective of this study was to conduct a multicentre external validation of the NEXUS II CDR in children. Methods We performed a prospective observational study of patients<18 years presenting with head trauma of any severity to 10 Australian/New Zealand EDs. In a planned secondary analysis we assessed the performance of the NEXUS II CDR for its diagnostic accuracy (with 95% confidence intervals (CI)) in predicting clinically important intracranial injury (ICI) as identified in CT scans performed in ED. Results Of 20 137 total patients, we excluded 28 with suspected penetrating injury. Median age was 4.2 years. CTs were obtained in ED for 1962 (9.8%), of whom 377 (19.2%) had a clinically important ICI as defined by NEXUS II. 74 (19.6%) of these patients underwent neurosurgery. Sensitivity for clinically important ICI based on the NEXUS II CDR was 373/377 (98.9%; 97.3%-99.7%) and specificity 156/1585 (9.8%; 8.4%-11.4%). Positive and negative predictive values were respectively 373/1802 (20.7%; 18.8%-22.6%) and 156/160 (97.5%; 93.7%-99.3%). Of the 18 147 children who did not have a CT scan 49.5% had at least one NEXUS II risk criterion. Conclusions NEXUS II had very high sensitivity when analysed with a focus on head injured patients who have had a CT performed, similar to the derivation study. With half of the unimaged patients positive for NEXUS II risk criteria the use of this CDR has the potential to increase the number of CTs.

Aims Mild traumatic brain injury (TBI) in children is a major public health issue, yet there is wide variation in the way 'mild' TBI is defined in the literature and in guidelines. To date no study has prospectively detailed the proportion of children presenting with mild TBI to Emergency Departments (EDs) according to these various definitions. The objective of this study was to apply published definitions of mild TBI to a large prospectively collected data set of childhood head injuries (HIs), and to determine the proportions of mild TBI when the various definitions are applied. Methods Prospective observational study of children with HIs of any severity presenting to 10 Australian/New Zealand centres. We applied 18 different definitions of mild TBI, identified through a systematic review of the literature, to children aged 3 to 16 years. We assessed the number and percentage of cases the definitions applied to when the specific inclusion and exclusion criteria were used. Results Of 20 137 children with HI of any severity, 11 907 were aged 3 to 16 years. Mean age was 8.2 years, 32% were female. 61.9% were fall related. Cranial CT rate was 12.7% and neurosurgery rate was 0.5%. Adjustments were made to some definitions to enable application to the data set: none in 7, minor in 9, substantial in 2. Percentages of the cohort covered by the definitions of 'mild' TBI ranged from 2.4% (284) to 98.7% (11,756) of the cohort. The median percentage of the cohort which was classed as 'mild' TBI using the 18 definitions investigated was 21.7% (2,589). Conclusions When applying different definitions of mild TBI to a single data set including all severities, a wide range of cases are included depending on the definition used. Clinicians and researchers need to be aware of this important variability when attempting to apply the published literature to children presenting to EDs with TBI.

Background Clinical decision rules can help to determine the need for CT imaging in children with head injuries. We aimed to validate three clinical decision rules (PECARN, CATCH, and CHALICE) in a large sample of children. Methods In this prospective observational study, we included children and adolescents (aged <18 years) with head injuries of any severity who presented to the emergency departments of ten Australian and New Zealand hospitals. We assessed the diagnostic accuracy of PECARN (stratified into children aged <2 years and >=2 years), CATCH, and CHALICE in predicting each rule-specific outcome measure (clinically important traumatic brain injury [TBI], need for neurological intervention, and clinically significant intracranial injury, respectively). For each calculation we used rule-specific predictor variables in populations that satisfied inclusion and exclusion criteria for each rule (validation cohort). In a secondary analysis, we compiled a comparison cohort of patients with mild head injuries (Glasgow Coma Scale score 13-15) and calculated accuracy using rule-specific predictor variables for the standardised outcome of clinically important TBI. This study is registered with the Australian New Zealand Clinical Trials Registry, number ACTRN12614000463673. Findings Between April 11, 2011, and Nov 30, 2014, we analysed 20 137 children and adolescents attending with head injuries. CTs were obtained for 2106 (10%) patients, 4544 (23%) were admitted, 83 (<1%) underwent neurosurgery, and 15 (<1%) died. PECARN was applicable for 4011 (75%) of 5374 patients younger than 2 years and 11 152 (76%) of 14 763 patients aged 2 years and older. CATCH was applicable for 4957 (25%) patients and CHALICE for 20 029 (99%). The highest point validation sensitivities were shown for PECARN in children younger than 2 years (100.0%, 95% CI 90.7-100.0; 38 patients identified of 38 with outcome [38/38]) and PECARN in children 2 years and older (99.0%, 94.4-100.0; 97/98), followe

Background: Abusive head trauma (AHT) is associated with high morbidity and mortality. It may be difficult to detect in the emergency department (ED). Objective(s): To determine how cases of suspected AHT differ from non-abusive head injuries in the ED setting. Method(s): Planned secondary analysis of prospective multicentre cohort study of children aged <18 years across 10 centres in Australia and New Zealand with head injuries. We identified cases of suspected AHT when ED clinicians identified such suspicion on a clinical report form or based on research assistant assigned epidemiology codes. We compared suspected AHT cases and non-AHT cases using risk ratios with 95% confidence intervals (CIs). We assessed the rate of clinically important traumatic brain injuries [ciTBI: death; neurosurgery; intubation >1 day, admission >2 days with abnormal computed tomography (CT) scan]. Result(s): AHT was suspected in 103 of 20 137 (0.5%) headinjured children. Mean age was 2.4 years (SD 4.0). GCS was <12 in 9 (8.7%). 12 (11.7%) presented with seizures. 71 (68.9%) underwent CT head scan, of which 49 (69.0%) were abnormal. 80 (77.7%) children were admitted. Neurosurgery was performed in 3, and 2 children died. 23 (22.3%) had ciTBI. RRs (95% CI) for AHT vs. non AHT were: LOC 1.4 (0.7-2.7), vomiting 1.6 (1.2-2.2), scalp haematoma 2.3 (2.0-2.6), GCS <12 8.5 (4.5-16.0), abnormal neuroimaging 16.4 (13.2-20.4), neurosurgery 7.4 (2.4-22.9), mortality 29.9 (6.8-130.9) and ciTBI 17.4 (6.8-25.5). Conclusion(s): In the ED, clinical presentation in children with suspected AHT differs from non-AHT cases. Suspected cases of AHT are at increased risk of abnormal CT scans, ciTBI and death.

Background: While the majority of head injuries in children are non-intentional, there is limited information on intentional injuries outside abusive head trauma. Objective(s): To investigate intentional head injuries in terms of demographics, epidemiology and severity. Method(s): Planned secondary analysis of prospective multicentre cohort study of children aged <18 years across 10 centres in Australia and New Zealand. Victorian state epidemiology codes (intent, activity, place, mechanism) were used to prospectively code the injuries. Data were descriptively analysed. Result(s): Intentional injuries were found in 441 of 20 137 (2.2%) head-injured children. Injuries were caused by peers (166, 37.6%), by caregiver (103, 23.4%), by sibling (47, 10.7%), due to attack by stranger (35, 7.9%), attack by person with unknown relation to patient (19, 4.3%), intentional self-harm (7, 1.6%), other cause or undetermined (64, 28.2%). Children were <2 years old in 75.7% injuries caused by caregivers and 8.3% in other causes. Overall, 71.0% of victims were male. Admission rates varied from 77.7% for assault by caregiver, 37.1% attack by stranger, 22.3% by peer and 8.5% by sibling. Peer assaults were related to sports in 69 cases (41.6%), with highest frequency in contact sports, rugby (40.6) and Australian football (26.1%). Conclusion(s): Intentional head injuries are infrequent in children. The most frequent cause is peer assault, often during sports, and injuries caused by caregivers.

Background: Head injuries in children are responsible for a large number of emergency department visits. Failure to identify a clinically significant intracranial injury in a timely fashion may result in long term neurodisability and death. Whilst cranial computed tomography (CT) provides rapid and definitive identification of intracranial injuries, it is resource intensive and associated with radiation induced cancer. Evidence based head injury clinical decision rules have been derived to aid physicians in identifying patients at risk of having a clinically significant intracranial injury. Three rules have been identified as being of high quality and accuracy: the Canadian Assessment of Tomography for Childhood Head Injury (CATCH) from Canada, the Children's Head Injury Algorithm for the Prediction of Important Clinical Events (CHALICE) from the UK, and the prediction rule for the identification of children at very low risk of clinically important traumatic brain injury developed by the Pediatric Emergency Care Applied Research Network (PECARN) from the USA. This study aims to prospectively validate and compare the performance accuracy of these three clinical decision rules when applied outside the derivation setting.Methods/design: This study is a prospective observational study of children aged 0 to less than 18 years presenting to 10 emergency departments within the Paediatric Research in Emergency Departments International Collaborative (PREDICT) research network in Australia and New Zealand after head injuries of any severity. Predictor variables identified in CATCH, CHALICE and PECARN clinical decision rules will be collected. Patients will be managed as per the treating clinicians at the participating hospitals. All patients not undergoing cranial CT will receive a follow up call 14 to 90 days after the injury. Outcome data collected will include results of cranial CTs (if performed) and details of admission, intubation, neurosurgery and death. The performan