Pediatric Minor Traumatic Brain Injury With Intracranial Hemorrhage: Identifying Low-Risk Patients Who May Not Benefit From ICU Admission

Neuroinflammation and neurodegeneration following traumatic brain injuries

Traumatic brain injuries (TBI) commonly occur following head trauma. TBI may result in short- and long-term complications which may lead to neurodegenerative consequences, including cognitive impairment post-TBI. When investigating the neurodegeneration following TBI, studies have highlighted the role reactive astrocytes have in the neuroinflammation and degeneration process. This review showcases a variety of markers that show reactive astrocyte presence under pathological conditions, including glial fibrillary acidic protein (GFAP), Crystallin Alpha-B (CRYA-B), Complement Component 3 (C3) and S100A10. Astrocyte activation may lead to white-matter inflammation, expressed as white-matter hyperintensities. Other white-matter changes in the brain following TBI include increased cortical thickness in the white matter. This review addresses the gaps in the literature regarding post-mortem human studies focussing on reactive astrocytes, alongside the potential uses of these proteins as markers in the future studies that investigate the proportions of astrocytes in the post-TBI brain has been discussed. This research may benefit future studies that focus on the role reactive astrocytes play in the post-TBI brain and may assist clinicians in managing patients who have suffered TBI.

Clinical Outcomes in Neurologically Intact Children With Small Intracranial Bleeds and Simple Skull Fractures

Introduction Children with minor intracranial hemorrhage (ICH) and/or simple skull fractures are often hospitalized for monitoring; however, the majority do not require any medical, surgical, or critical care interventions. Our purpose was to determine the rate of significant clinical sequela (SCS) and identify associated risk factors in neurologically intact children with close head trauma. Methods This is a retrospective observational study. Children (≤ 3 years of age) admitted with closed head trauma, documented head injuries (ICH ≤ 5mm and/or simple skull fracture), and a Glasgow Coma Scale (GCS) score of ≥14, between January 2015 and January 2020, were included. We collected demographics, resource utilization, and patient outcomes variables. SCS was defined as any radiologic progression, and/or clinically important medical or neurological deterioration. Results A total of 205 patients were enrolled in the study (65.4% male, mean age 7.7 months). Repeat neuroimaging was obtained in 41/205 patients (20%) with radiologic progression noted in 5/205 (2.4%). Thirteen out of 205 patients (6.3%) experienced SCS. Patients with SCS were more likely to be males (92.3% vs 63.5% in females, P=0.035) to have had a report filed with child protective services due to a concern for abuse/neglect (92.3% vs 61.5% in females, P=0.025), and to have had a non-linear skull fracture (P<0.001). No other factors were shown to be predictive of SCS with enough statistical significance. Conclusion Neurologically intact children with traumatic closed head injury are at low risk for developing SCS. This study suggests that most of these children may not need ICU monitoring. This study also showed that a certain subset might be at an increased risk of developing SCS.

Short Falls in Childhood Occasionally Cause Major Brain Injuries Because of Unusual Circumstances

METHODS

Records and imaging were reviewed for children younger than 6 years, hospitalized between 2015 and 2020 for major closed head injuries following less than 4-ft falls. Major injury was defined as intensive care admission more than 2 days, neurosurgical intervention, death, or disability at hospital discharge. Subjects were identified through Seattle and Spokane, Washington abuse consultations. Harborview Medical Center's trauma registry and Seattle Children's Hospital's Hemophilia Treatment Program and Radiology were searched for subjects.

RESULTS

We identified 12 young children who sustained major closed head injury due to short falls. Seven developed major space-occupying epidural hemorrhages. One child developed internal hydrocephalus after intraventricular hemorrhage. One child with prior meningomyelocele, Chiari 2 malformation, and ventriculoperitoneal shunt developed shunt decompensation after an acute-on-chronic subdural hemorrhage. One child developed an internal capsule stroke because of a previously undiagnosed calcifying angiopathy. Another child developed space-occupying subdural hemorrhage associated with previously unrecognized platelet pool disorder. Only this child had abuse concerns, which were resolved with his coagulopathy diagnosis. One child had a diastatic skull fracture leading to pseudomeningocele.At Harborview Medical Center, 140 children were seen for short falls in the emergency department or inpatient service. Among the 40 needing intensive care, 4 (12.5%) had major injuries after short falls. Our hemophilia treatment program did not see any children who had sustained major injury following a short fall in a 5½ year period.

CONCLUSIONS

Although young children rarely sustain major head injury following short falls, serious head injuries do occasionally occur because of unusual injury mechanisms or preexisting conditions. It is important to fully evaluate these patients to differentiate these unintentional falls from abusive head injury.

Extra-axial haemorrhages in young children with skull fractures: abuse or accident?

OBJECTIVE

Infant and toddler subdural haemorrhages (SDH) are often considered indicative of abuse or major trauma. However, accidental impact events, such as falls, cause contact extra-axial haemorrhages (EAHs). The current study sought to determine frequency and clinical behaviour of EAHs with infant and toddler accidental and abusive skull fractures.

PATIENTS AND METHODS

Children aged <4 years with accidental skull fractures and abusive fractures identified by CT at two paediatric tertiary care centres. Clinical data were abstracted by child abuse paediatricians and images were reviewed by paediatric radiologists. Data were analysed using univariate and multivariate logistic regression as well as descriptive statistics.

RESULTS

Among 227 subjects, 86 (37.9%) had EAHs. EAH was present in 73 (34.8%) accidental and 13 (76.5%) of the abusive injuries. Intracranial haemorrhage rates were not different for children with major or minor accidents but were fewer than abused. EAH was equally common with falls <4 and >4 ft. EAH depths did not differ by mechanism, but 69% of accidental EAHs were localised solely at fracture sites vs 38% abuse. Widespread and multifocal EAHs were more common with abuse. Children with abuse or major accidental injuries presented with lower initial Glasgow Coma Scales than those with minor accidents. Abused children had initial loss of consciousness more often than those with either minor or major accidents.

CONCLUSIONS

Simple contact EAHs were common among children with minor and major accidental skull fractures. Accidental EAHs were more localised with less neurological dysfunction than abusive.

Measures of Intracranial Injury Size Do Not Improve Clinical Decision Making for Children With Mild Traumatic Brain Injuries and Intracranial Injuries

BACKGROUND

When evaluating children with mild traumatic brain injuries (mTBIs) and intracranial injuries (ICIs), neurosurgeons intuitively consider injury size. However, the extent to which such measures (eg, hematoma size) improve risk prediction compared with the kids intracranial injury decision support tool for traumatic brain injury (KIIDS-TBI) model, which only includes the presence/absence of imaging findings, remains unknown.

OBJECTIVE

To determine the extent to which measures of injury size improve risk prediction for children with mild traumatic brain injuries and ICIs.

METHODS

We included children ≤18 years who presented to 1 of the 5 centers within 24 hours of TBI, had Glasgow Coma Scale scores of 13 to 15, and had ICI on neuroimaging. The data set was split into training (n = 1126) and testing (n = 374) cohorts. We used generalized linear modeling (GLM) and recursive partitioning (RP) to predict the composite of neurosurgery, intubation >24 hours, or death because of TBI. Each model's sensitivity/specificity was compared with the validated KIIDS-TBI model across 3 decision-making risk cutoffs (<1%, <3%, and <5% predicted risk).

RESULTS

The GLM and RP models included similar imaging variables (eg, epidural hematoma size) while the GLM model incorporated additional clinical predictors (eg, Glasgow Coma Scale score). The GLM (76%-90%) and RP (79%-87%) models showed similar specificity across all risk cutoffs, but the GLM model had higher sensitivity (89%-96% for GLM; 89% for RP). By comparison, the KIIDS-TBI model had slightly higher sensitivity (93%-100%) but lower specificity (27%-82%).

CONCLUSION

Although measures of ICI size have clear intuitive value, the tradeoff between higher specificity and lower sensitivity does not support the addition of such information to the KIIDS-TBI model.

A Child Presenting with a Glasgow Coma Scale Score of 13: Mild or Moderate Traumatic Brain Injury? A Narrative Review

OBJECTIVE

The objective of this article was to compare children with traumatic brain injury (TBI) and Glasgow Coma Scale score (GCS) 13 with children presenting with GCS 14 and 15 and GCS 9 to 12.

DATA SOURCE

We searched PubMed for clinical studies of children of 0 to 18 years of age with mild TBI (mTBI) and moderate TBI, published in English language in the period of 2000 to 2020.

STUDY SELECTION

We selected studies sub-classifying children with GCS 13 in comparison with GCS 14 and 15 and 9 to 12. We excluded reviews, meta-analyses, non-U.S./European population studies, studies of abusive head trauma, and severe TBI.

DATA SYNTHESIS

Most children (>85%) with an mTBI present at the emergency department with an initial GCS 15. A minority of only 5% present with GCS 13, 40% of which sustain a high-energy trauma. Compared with GCS 15, they present with a longer duration of unconsciousness and of post-traumatic amnesia. More often head computerized tomography scans show abnormalities (in 9-16%), leading to neurosurgical intervention in 3 to 8%. Also, higher rates of severe extracranial injury are reported. Admission is indicated in more than 90%, with a median length of hospitalization of more than 4 days and 28% requiring intensive care unit level care. These data are more consistent with children with GCS 9 to 12. In children with GCS 15, all these numbers are much lower.

CONCLUSION

We advocate classifying children with GCS 13 as moderate TBI and treat them accordingly.

Utility and Predictive Value of CHIIDA Score in Pediatric Traumatic Brain Injury: A Prospective Observational Study

BACKGROUND

The Children's Intracranial Injury Decision Aid (CHIIDA) is a tool designed to stratify children with mild traumatic brain injury (mTBI). The aim of this study was to assess the utility and predictive value of CHIIDA in the assessment of the need for intensive care unit (ICU) admission in pediatric patients with mTBI.

METHODS

This prospective observational study included 425 children below 18 years of age admitted to the ICU of a tertiary care hospital with mTBI (Glasgow Coma Scale 13 to 15). The primary outcome was the composite of neurosurgical intervention, intubation for more than 24 hours for TBI, or death from TBI. Sensitivity, specificity, predictive values and likelihood ratios were calculated at CHIIDA scores 0 and 2.

RESULTS

Among 425 children with mTBI, 210 (49%) had a CHIIDA score 0, 16 (4%) scored 2 points, and 199 (47%) scored more than 2 points. Thirty-six (8.47%) patients experienced the primary outcome, and there were 3 deaths. A cutoff CHIIDA >0 to admit to ICU had a sensitivity of 97.22% (95% confidence interval [CI], 97.05%-97.39%) and a negative predictive value of 99.54% (95% CI, 99.50%-99.56%). A cutoff of score >2 had a sensitivity of 97.22% (95% CI, 97.05%-97.39%), and negative predictive value of 99.56% (95% CI, 99.54%-99.59%). The post-test probability at cutoff score of 0 and 2 was 16.65% and 16.27%, respectively.

CONCLUSIONS

CHIIDA score does not serve as reliable triage tool for identifying children with TBI who do not require ICU admission.

Fracture-Associated Bruising and Soft Tissue Swelling in Young Children With Skull Fractures: How Sensitive Are They to Fracture Presence?

OBJECTIVES

The aim of this study was to determine how reliable scalp bruising and soft tissue swelling/cephalohematomas (STS) are for underlying young child skull fractures.

METHODS

This was a retrospective clinical and imaging review from 2011 to 2012 of children younger than 4 years with skull fractures from 2 tertiary care hospitals. Imaging was reread by 3 pediatric radiologists. Descriptive statistics were utilized. The retrospective review had institutional review board approval.

RESULTS

We identified 218 subjects for review: 210 unintentional and 8 abusive. One hundred forty-three had available 3-dimensional computed tomography reconstructions: 136 unintentional and 7 abused. Two-thirds were younger than 1 year. Twelve subjects had visible scalp bruising, but 73% had clinically and 93% radiologically apparent fracture-associated STS. There was no difference in clinical STS with simple (79%) versus complex (68%) fractures. Nor was there difference in subjects with fractures from minor (77%) versus major (70%) trauma. Unintentionally injured infants did not differ from abused for detectable STS (74% vs 50%). Parietal and frontal bones most frequently sustained fractures and most consistently had associated STS.

CONCLUSIONS

Clinically apparent STS is present in approximately three-fourths of children with skull fractures. It may not be important to consistently identify skull fractures in unintentionally injured children. Point-of-care ultrasound may be adequate. For abuse concerns, it is important to identify skull fractures as evidence of cranial impacts and intracranial hemorrhages. The most sensitive, widely available imaging technique, cranial computed tomography scan with 3-dimensional skull reconstruction, should be utilized. Scalp bruising is present in a minority of young children with skull fractures. Its absence does not exclude cranial impact injury.

Development and external validation of the KIIDS-TBI tool for managing children with mild traumatic brain injury and intracranial injuries

BACKGROUND

Clinical decision support (CDS) may improve the postneuroimaging management of children with mild traumatic brain injuries (mTBI) and intracranial injuries. While the CHIIDA score has been proposed for this purpose, a more sensitive risk model may have broader use. Consequently, this study's objectives were to: (1) develop a new risk model with improved sensitivity compared to the CHIIDA model and (2) externally validate the new model and CHIIDA model in a multicenter data set.

METHODS

We analyzed children ≤18 years old with mTBI and intracranial injuries included in the PECARN head injury data set (2004-2006). We used binary recursive partitioning to predict the composite outcome of neurosurgical intervention, intubation for > 24 h due to TBI, or death due to TBI. The new model was externally validated in a separate data set that included children treated at any one of six centers from 2006 to 2019.

RESULTS

Based on 839 patients from the PECARN data set, a new risk model, the KIIDS-TBI model, was developed that incorporated imaging (e.g., midline shift) and clinical (e.g., Glasgow Coma Scale score) findings. Based on the model-predicted probability of the composite outcome, three cutoffs were evaluated to classify patients as "high risk" for level of care decisions. In the external validation data set consisting of 1,630 patients, the most conservative cutoff (i.e., any predictor present) identified 119 of 119 children with the composite outcome (sensitivity = 100%), but had the lowest specificity (26.3%). The other two decision-making cutoffs had worse sensitivity (94.1%-96.6%) but improved specificity (67.4%-81.3%). The CHIIDA model lacked the most conservative cutoff and otherwise showed the same or slightly worse performance compared to the other two cutoffs.

CONCLUSIONS

The KIIDS-TBI model has high sensitivity and moderate specificity for risk stratifying children with mTBI and intracranial injuries. Use of this CDS tool may help improve the safe, resource-efficient management of this important patient population.

Paediatric Trauma Score as a non-imaging tool for predicting intracranial haemorrhage in patients with traumatic brain injury

To identify a useful non-imaging tool to screen paediatric patients with traumatic brain injury for intracranial haemorrhage (ICH). We retrospectively analysed patients aged < 15 years who visited the emergency department with head trauma between January 2015 and September 2020. We divided patients into two groups (ICH and non-ICH) and compared their demographic and clinical factors. Among 85 patients, 21 and 64 were in the ICH and non-ICH groups, respectively. Age (p = 0.002), Pediatric trauma score (PTS; p < 0.001), seizure (p = 0.042), and fracture (p < 0.001) differed significantly between the two groups. Factors differing significantly between the groups were as follows: age (odds ratio, 0.84, p = 0.004), seizure (4.83, p = 0.013), PTS (0.15, p < 0.001), and fracture (69.3, p < 0.001). Factors with meaningful cut-off values were age (cut-off [sensitivity, specificity], 6.5 [0.688, 0.714], p = 0.003) and PTS [10.5 (0.906, 0.81), p < 0.001]. Based on the previously known value for critical injury (≤ 8 points) and the cut-off value of the PTS identified in this study (≤ 10 points), we divided patients into low-risk, medium-risk, and high-risk groups; their probabilities of ICH (95% confidence intervals) were 0.16-12.74%, 35.86-89.14%, and 100%, respectively. PTS was the only factor that differed significantly between mild and severe ICH cases (p = 0.012). PTS is a useful screening tool with a high predictability for ICH and can help reduce radiation exposure when used to screen patient groups before performing imaging studies.

Validation of the "CHIIDA" and application for PICU triage in children with complicated mild traumatic brain injury

BACKGROUND

The Children's Intracranial Injury Decision Aid (CHIIDA) was developed to predict which patients with complicated mild traumatic brain injury (cmTBI; GCS ≥13 with depressed skull fracture or intracranial injury) would achieve the composite outcome of neurosurgical intervention, intubation >24 h, or death. The study also explored the CHIIDA as a triage tool to determine need for PICU care. The purpose of this study is to externally validate the CHIIDA and assess its effects on PICU triage.

METHODS

Retrospective cohort study (January 2016 to December 2017) to validate the CHIIDA to predict the composite outcome and assess its effects as a PICU triage tool at a level 1 pediatric trauma center.

RESULTS

Of 345 patients with cmTBI, the composite outcome occurred in 16 patients (4.6%). At a cutoff score of 2, the CHIIDA predicted the composite outcome with a sensitivity of 94% (95% CI 67-99%) and specificity of 69% (95% CI 64-74%), similar to the original study. Using the same cutoff score for PICU triage resulted in 48 (71%) more patients admitted to PICU.

CONCLUSIONS

In our cohort, the CHIIDA predicted the composite outcome well. If applied as a triage tool, it would have resulted in increased unnecessary PICU admissions.

LEVEL OF EVIDENCE

Level III, prognosis.

Trauma Bay Disposition of Infants and Young Children With Mild Traumatic Brain Injury and Positive Head Imaging

OBJECTIVES

To describe the disposition of infants and young children with isolated mild traumatic brain injury and neuroimaging findings evaluated at a level 1 pediatric trauma center, and identify factors associated with their need for ICU admission.

DESIGN

Retrospective cohort.

SETTING

Single center.

PATIENTS

Children less than or equal to 4 years old with mild traumatic brain injury (Glasgow Coma Scale 13-15) and neuroimaging findings evaluated between January 1, 2013, and December 31, 2015. Polytrauma victims and patients requiring intubation or vasoactive infusions preadmission were excluded.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Two-hundred ten children (median age/weight/Glasgow Coma Scale: 6 mo/7.5 kg/15) met inclusion criteria. Most neuroimaging showed skull fractures with extra-axial hemorrhage/no midline shift (30%), nondisplaced skull fractures (28%), and intracranial hemorrhage without fractures/midline shift (19%). Trauma bay disposition included ICU (48%), ward (38%), intermediate care unit and home (7% each). Overall, 1% required intubation, 4.3% seizure management, and 4.3% neurosurgical procedures; 15% were diagnosed with nonaccidental trauma. None of the ward/intermediate care unit patients were transferred to ICU. Median ICU/hospital length of stay was 2 days. Most patients (99%) were discharged home without neurologic deficits. The ICU subgroup included all patients with midline shift, 62% patients with intracranial hemorrhage, and 20% patients with skull fractures. Across these imaging subtypes, the only clinical predictor of ICU admission was trauma bay Glasgow Coma Scale less than 15 (p = 0.018 for intracranial hemorrhage; p < 0.001 for skull fractures). A minority of ICU patients (18/100) required neurocritical care and/or neurosurgical interventions; risk factors included neurologic deficit, loss of consciousness/seizures, and extra-axial hemorrhage (especially epidural hematoma).

CONCLUSIONS

Nearly half of our cohort was briefly monitored in the ICU (with disposition mostly explained by trauma bay imaging, rather than clinical findings); however, less than 10% required ICU-specific interventions. Although ICU could be used for close neuromonitoring to prevent further neurologic injury, additional research should explore if less conservative approaches may preserve patient safety while optimizing healthcare resource utilization.

North American survey on the post-neuroimaging management of children with mild head injuries

OBJECTIVEThere remains uncertainty regarding the appropriate level of care and need for repeating neuroimaging among children with mild traumatic brain injury (mTBI) complicated by intracranial injury (ICI). This study's objective was to investigate physician practice patterns and decision-making processes for these patients in order to identify knowledge gaps and highlight avenues for future investigation.METHODSThe authors surveyed residents, fellows, and attending physicians from the following pediatric specialties: emergency medicine; general surgery; neurosurgery; and critical care. Participants came from 10 institutions in the United States and an email list maintained by the Canadian Neurosurgical Society. The survey asked respondents to indicate management preferences for and experiences with children with mTBI complicated by ICI, focusing on an exemplar clinical vignette of a 7-year-old girl with a Glasgow Coma Scale score of 15 and a 5-mm subdural hematoma without midline shift after a fall down stairs.RESULTSThe response rate was 52% (n = 536). Overall, 326 (61%) respondents indicated they would recommend ICU admission for the child in the vignette. However, only 62 (12%) agreed/strongly agreed that this child was at high risk of neurological decline. Half of respondents (45%; n = 243) indicated they would order a planned follow-up CT (29%; n = 155) or MRI scan (19%; n = 102), though only 64 (12%) agreed/strongly agreed that repeat neuroimaging would influence their management. Common factors that increased the likelihood of ICU admission included presence of a focal neurological deficit (95%; n = 508 endorsed), midline shift (90%; n = 480) or an epidural hematoma (88%; n = 471). However, 42% (n = 225) indicated they would admit all children with mTBI and ICI to the ICU. Notably, 27% (n = 143) of respondents indicated they had seen one or more children with mTBI and intracranial hemorrhage demonstrate a rapid neurological decline when admitted to a general ward in the last year, and 13% (n = 71) had witnessed this outcome at least twice in the past year.CONCLUSIONSMany physicians endorse ICU admission and repeat neuroimaging for pediatric mTBI with ICI, despite uncertainty regarding the clinical utility of those decisions. These results, combined with evidence that existing practice may provide insufficient monitoring to some high-risk children, emphasize the need for validated decision tools to aid the management of these patients.