Cervical spine imaging in hospitalized children with traumatic brain injury

Challenges and Insights: Cervical Spine Injuries in Children with Traumatic Brain Injury

Cervical spine injuries (CSIs) in pediatric patients with traumatic brain injury (TBI) pose unique diagnostic and management challenges. Current studies on the intricate overlap between pediatric TBI and CSI are limited. This paper explores the existing literature as well as the epidemiology, mechanisms of injury, diagnostic criteria, treatment strategies, and outcomes associated with CSI in pediatric TBI patients.

Triage tools for detecting cervical spine injury in paediatric trauma patients

BACKGROUND

Paediatric cervical spine injury (CSI) after blunt trauma is rare but can have severe consequences. Clinical decision rules (CDRs) have been developed to guide clinical decision-making, minimise unnecessary tests and associated risks, whilst detecting all significant CSIs. Several validated CDRs are used to guide imaging decision-making in adults following blunt trauma and clinical criteria have been proposed as possible paediatric-specific CDRs. Little information is known about their accuracy.

OBJECTIVES

To assess and compare the diagnostic accuracy of CDRs or sets of clinical criteria, alone or in comparison with each other, for the evaluation of CSI following blunt trauma in children.

SEARCH METHODS

For this update, we searched CENTRAL, MEDLINE, Embase, and six other databases from 1 January 2015 to 13 December 2022. As we expanded the index test eligibility for this review update, we searched the excluded studies from the previous version of the review for eligibility. We contacted field experts to identify ongoing studies and studies potentially missed by the search. There were no language restrictions.

SELECTION CRITERIA

We included cross-sectional or cohort designs (retrospective and prospective) and randomised controlled trials that compared the diagnostic accuracy of any CDR or clinical criteria compared with a reference standard for the evaluation of paediatric CSI following blunt trauma. We included studies evaluating one CDR or comparing two or more CDRs (directly and indirectly). We considered X-ray, computed tomography (CT) or magnetic resonance imaging (MRI) of the cervical spine, and clinical clearance/follow-up as adequate reference standards.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened titles and abstracts for relevance, and carried out eligibility, data extraction and quality assessment. A third review author arbitrated. We extracted data on study design, participant characteristics, inclusion/exclusion criteria, index test, target condition, reference standard and data (diagnostic two-by-two tables) and calculated and plotted sensitivity and specificity on forest plots for visual examination of variation in test accuracy. We assessed methodological quality using the Quality Assessment of Diagnostic Accuracy Studies Version 2 tool. We graded the certainty of the evidence using the GRADE approach.

MAIN RESULTS

We included five studies with 21,379 enrolled participants, published between 2001 and 2021. Prevalence of CSI ranged from 0.5% to 1.85%. Seven CDRs were evaluated. Three studies reported on direct comparisons of CDRs. One study (973 participants) directly compared the accuracy of three index tests with the sensitivities of NEXUS, Canadian C-Spine Rule and the PECARN retrospective criteria being 1.00 (95% confidence interval (CI) 0.48 to 1.00), 1.00 (95% CI 0.48 to 1.00) and 1.00 (95% CI 0.48 to 1.00), respectively. The specificities were 0.56 (95% CI 0.53 to 0.59), 0.52 (95% CI 0.49 to 0.55) and 0.32 (95% CI 0.29 to 0.35), respectively (moderate-certainty evidence). One study (4091 participants) compared the accuracy of the PECARN retrospective criteria with the Leonard de novo model; the sensitivities were 0.91 (95% CI 0.81 to 0.96) and 0.92 (95% CI 0.83 to 0.97), respectively. The specificities were 0.46 (95% CI 0.44 to 0.47) and 0.50 (95% CI 0.49 to 0.52) (moderate- and low-certainty evidence, respectively). One study (270 participants) compared the accuracy of two NICE (National Institute for Health and Care Excellence) head injury guidelines; the sensitivity of the CG56 guideline was 1.00 (95% CI 0.48 to 1.00) compared to 1.00 (95% CI 0.48 to 1.00) with the CG176 guideline. The specificities were 0.46 (95% CI 0.40 to 0.52) and 0.07 (95% CI 0.04 to 0.11), respectively (very low-certainty evidence). Two additional studies were indirect comparison studies. One study (3065 participants) tested the accuracy of the NEXUS criteria; the sensitivity was 1.00 (95% CI 0.88 to 1.00) and specificity was 0.20 (95% CI 0.18 to 0.21) (low-certainty evidence). One retrospective study (12,537 participants) evaluated the PEDSPINE criteria and found a sensitivity of 0.93 (95% CI 0.78 to 0.99) and specificity of 0.70 (95% CI 0.69 to 0.72) (very low-certainty evidence). We did not pool data within the broader CDR categories or investigate heterogeneity due to the small quantity of data and the clinical heterogeneity of studies. Two studies were at high risk of bias. We identified two studies that are awaiting classification pending further information and two ongoing studies.

AUTHORS' CONCLUSIONS

There is insufficient evidence to determine the diagnostic test accuracy of CDRs to detect CSIs in children following blunt trauma, particularly for children under eight years of age. Although most studies had a high sensitivity, this was often achieved at the expense of low specificity and should be interpreted with caution due to a small number of CSIs and wide CIs. Well-designed, large studies are required to evaluate the accuracy of CDRs for the cervical spine clearance in children following blunt trauma, ideally in direct comparison with each other.

Cervical spine trauma: impact of different imaging classification systems in the clinical decision-making

Background and aim:

Considering the high rate of mortality and permanent disability related to vertebral traumas, an early and detailed diagnosis of the trauma and subsequently an immediate and effective intervention are crucial. Cervical vertebral injury classifications guide treatment choice through a severity grade based on radiological information. The purpose of the present study was to define which imaging classification system could provide the best morphological and clinical-surgical correlations for cervical spine traumas.

Methods:

We retrospectively analyzed patients evaluated for cervical spine trauma at our Institution in the period 2015-2020. Information regarding the morphological examination (using CT and MRI), the neurological evaluation, and the therapeutic management were collected. C3-C7 fractures were classified according to the SLIC and AOSpine criteria; axial lesions were classified according to the modified AOSpine for the C1-C2 compartment and through the Roy-Camille and the Anderson D’Alonzo system for the odontoid process of the axis.

Results:

29 patients were included in the final study population. Nine patients with axial spine trauma and 21 with subaxial cervical spine trauma. A conservative approach was applied in 16 patients while nine patients underwent neurosurgery. Considering the therapeutical indications provided by the SLIC system, a 76.9% accordance was found for patients with a <4 score, while a 100% concordance was calculated for patients with a >4 score undergoing neurosurgery. Regarding the AOSspine classification, a 28.6% concordance was observed for patients classified group B being treated with a posterior neurosurgical approach, while for patients belonging to subgroup C, considered for anterior neurosurgical approach, a 66.7% accordance was calculated.

Conclusions:

The study demonstrated a better morphological correlation for the AOSpine classification in subaxial trauma and the AOSpine and Anderson D’Alonzo in axial trauma. The therapeutic indication found a better correlation in the SLIC classification for subaxial trauma and the Anderson D’Alonzo for axial ones. (www.actabiomedica.it)

Trends in Imaging Findings, Interventions, and Outcomes Among Children With Isolated Head Trauma

OBJECTIVE

The aim was to analyze the impact of decreased head computed tomography (CT) imaging on detection of abnormalities and outcomes for children with isolated head trauma.

METHODS

The study involves a multicenter retrospective cohort of patients younger than 19 years presenting for isolated head trauma to emergency departments in the Pediatric Health Information System database from 2003 to 2015. Patients directly admitted or transferred to another facility and those with a discharge diagnosis code for child maltreatment were excluded. Outcomes were ascertained from administrative and billing data. Trends were tested using mixed effects logistic regression, accounting for clustering within hospitals and adjusted for age, sex, insurance type, race, presence of a complex chronic condition, and hospital-level case mix index.

RESULTS

Between 2003 and 2015, 306,041 children presented for isolated head trauma. The proportion of children receiving head CT imaging was increasing until 2008, peaking at just under 40%, before declining to 25% by 2015. During the recent period of decreased head CT imaging, the detection of skull fractures (odds ratio [OR]/year, 0.96; 95% confidence interval [CI], 0.95-0.97) and intracranial bleeds (OR/year, 0.96; 95% CI, 0.94-0.97), hospitalization (OR/year, 0.96; 95% CI, 0.95-0.96), neurosurgery (OR/year, 0.91; 95% CI, 0.87-0.95), and revisit (OR/year, 0.98; 95% CI, 0.96-1.00) also decreased, without significant changes in mortality (OR/year, 0.93; 95% CI, 0.84-1.04) or persistent neurologic impairment (OR/year, 1.03; 95% CI, 0.92-1.15).

CONCLUSIONS

The recent decline in CT scanning in children with isolated head trauma was associated with a reduction in detection of intracranial abnormalities, and a concomitant decrease in interventions, without measurable patient harm.

Assessment of Non-Routine Events and Significant Physiological Disturbances during Emergency Department Evaluation after Pediatric Head Trauma

Outcomes following pediatric traumatic brain injury (TBI) are dependent on initial injury severity and prevention of secondary injury. Hypoxia, hypotension, and hyperventilation following TBI are associated with increased mortality. The purpose of this study was to determine the association of non-routine events (NREs) during the initial resuscitation phase with these physiological disturbances. We conducted a video review of pediatric trauma resuscitations of patients with suspected TBI and Glasgow Coma Scale (GCS) scores <13. NREs were rated as "momentary" if task progression was delayed by <1 min and "moderate" if delayed by >1 min. Vital sign monitor data were used to identify periods of significant physiological disturbances. We calculated the association between the rate of overall and moderate NREs per case and the proportion of cases with abnormal vital signs using multi-variate linear regression, controlling for GCS score and need for intubation. Among 26 resuscitations, 604 NREs were identified with a median of 23 (interquartile range [IQR] 17-27.8, range 5-44) per case. Moderate delay NREs occurred in 19 resuscitations (n = 32, median 1 NRE/resuscitation, IQR 0.3-1, range 0-5). Oxygen desaturation and respiratory depression were associated with a greater rate of moderate NREs (p = 0.008, p < 0.001, respectively). We observed no association between duration of hypotension, desaturation, and respiratory depression and overall NRE rate. NREs are common in the initial resuscitation of children with moderate to severe TBI. Episodes of hypoxia and respiratory depression are associated with NREs that cause a moderate delay in task progression. Conformance with resuscitation guidelines is needed to prevent physiological events associated with adverse outcomes following pediatric TBI.

Is spinal computed tomography necessary in pediatric trauma patients?

BACKGROUND

To investigate the prevalence of findings of spinal injury on computed tomography (CT) images of pediatric trauma patients and to define indicators for the possible presence of spinal injuries.

METHODS

Spinal CT for pediatric trauma patients (age ≤ 12 years) over a 2-year period was retrospectively evaluated for the presence of findings suggestive of spinal injury.

RESULTS

Of the 773 patients reviewed, 19 (2.4%) showed traumatic spinal lesions on their spinal CT images. These patients were significantly older than those without spinal lesions (mean age 7.9 ± 3.3 years vs 6.1 ± 3.3 years; P = 0.02). The prevalence of spinal trauma was significantly lower in patients aged 0-8 years than in those aged 9-12 years (P = 0.025). Spinal injury was significantly higher in female patients (P = 0.014). Most of the spinal injuries were located at the lumbar and sacral vertebral levels, and most did not cause neurological complications or require surgical treatment. Important indicators of the possible presence of spinal injuries were pain, tenderness, or ecchymosis over the spine, a low Glasgow Coma Scale score (≤12), head injury (for cervical injuries), or intrathoracic injuries and pelvic fractures (for lumbar and sacral injuries).

CONCLUSIONS

Most spinal CT examinations for the diagnosis of spinal injuries in children did not show positive findings. Thus, many children were exposed to an unnecessary high dose of radiation. New clinical evaluation criteria and indicators should be defined to diagnose spinal injuries and avoid unnecessary radiological examinations.

The sensitivity and negative predictive value of a pediatric cervical spine clearance algorithm that minimizes computerized tomography

BACKGROUND

It is crucial to identify cervical spine injuries while minimizing ionizing radiation. This study analyzes the sensitivity and negative predictive value of a pediatric cervical spine clearance algorithm.

METHODS

We performed a retrospective review of all children <21years old who were admitted following blunt trauma and underwent cervical spine clearance utilizing our institution's cervical spine clearance algorithm over a 10-year period. Age, gender, International Classification of Diseases 9th Edition diagnosis codes, presence or absence of cervical collar on arrival, Injury Severity Score, and type of cervical spine imaging obtained were extracted from the trauma registry and electronic medical record. Descriptive statistics were used and the sensitivity and negative predictive value of the algorithm were calculated.

RESULTS

Approximately 125,000 children were evaluated in the Emergency Department and 11,331 were admitted. Of the admitted children, 1023 patients arrived in a cervical collar without advanced cervical spine imaging and were evaluated using the cervical spine clearance algorithm. Algorithm sensitivity was 94.4% and the negative predictive value was 99.9%. There was one missed injury, a spinous process tip fracture in a teenager maintained in a collar.

CONCLUSIONS

Our algorithm was associated with a low missed injury rate and low CT utilization rate, even in children <3years old.

LEVEL OF EVIDENCE

IV.

Hospital Variation in Cervical Spine Imaging of Young Children With Traumatic Brain Injury

OBJECTIVE

Cervical imaging practices are poorly understood in young children with traumatic brain injury (TBI). We therefore sought to identify child-level and hospital-level factors associated with performance of cervical imaging of children with TBI from falls and abusive head trauma (AHT) and to describe across-hospital variation in cervical imaging performance. We hypothesized that imaging decisions would be influenced by hospital volume of young injured children.

METHODS

We performed a retrospective study of children younger than 2 years of age with TBI from 2009 to 2013 in the Premier Perspective Database. After adjustment for observed patient characteristics, we evaluated variation in advanced cervical imaging (computed tomography or magnetic resonance imaging) in children with AHT and TBI from falls.

RESULTS

Of 2347 children with TBI, 18.7% were from abuse and 57.1% were from falls. Fifteen percent of children with TBI underwent advanced cervical imaging. Moderate or severe head injuries were associated with increased odds of cervical imaging in AHT (odds ratio 7.10; 95% confidence interval 2.75, 18.35) and falls (odds ratio 2.25; 95% confidence interval 1.19, 4.27). There was no association between annual hospital volume of injured children and cervical imaging performance. The adjusted probability of imaging across hospitals ranged from 4.3% to 84.3% in AHT and 3.1 to 39.0% in TBI from falls (P < .001).

CONCLUSIONS

These results highlight variation across hospitals in adjusted probability of cervical imaging in AHT (nearly 20-fold) and TBI from falls (over 10-fold) not explained by observed patient characteristics. This variation suggests opportunities for further research to inform imaging practices.