Validation of the PediBIRN-7 clinical prediction rule for pediatric abusive head trauma.

BACKGROUND: The PediBIRN-7 clinical prediction rule incorporates the (positive or negative) predictive contributions of completed abuse evaluations to estimate abusive head trauma (AHT) probability after abuse evaluation. Applying definitional criteria as proxies for AHT and non-AHT ground truth, it performed with sensitivity 0.73 (95 % CI: 0.66-0.79), specificity 0.87 (95 % CI: 0.82-0.90), and ROC-AUC 0.88 (95 % CI: 0.85-0.92) in its derivation study. OBJECTIVE: To validate the PediBIRN-7's AHT prediction performance in a novel, equivalent, patient population. PARTICIPANTS AND SETTINGS: Consecutive, acutely head-injured children <3 years hospitalized for intensive care across eight sites between 2017 and 2020 with completed skeletal surveys and retinal exams (N = 342). METHODS: Secondary analysis of an existing, cross-sectional, prospective dataset, including assignment of patient-specific estimates of AHT probability, calculation of AHT prediction performance measures (ROC-AUC, sensitivity, specificity, predictive values), and completion of sensitivity analyses to estimate best- and worst-case prediction performances. RESULTS: Applying the same definitional criteria, the PediBIRN-7 performed with sensitivity 0.74 (95 % CI: 0.66-0.81), specificity 0.77 (95 % CI: 0.70-0.83), and ROC-AUC 0.83 (95 % CI: 0.78-0.88). The reduction in ROC-AUC was statistically insignificant (p = .07). Applying physicians' final consensus diagnoses as proxies for AHT and non-AHT ground truth, the PediBIRN-7 performed with sensitivity 0.73 (95 % CI: 0.66-0.79), specificity 0.87 (95 % CI: 0.82-0.90), and ROC-AUC 0.90 (95 % CI: 0.87-0.94). Sensitivity analyses demonstrated minimal changes in rule performance. CONCLUSION: The PediBIRN-7's overall AHT prediction performance has been validated in a novel, equivalent, patient population. Its patient-specific estimates of AHT probability can inform physicians' AHT-related diagnostic reasoning after abuse evaluation.

Validation of the Scandinavian guidelines for minor and moderate head trauma in children: protocol for a pragmatic, prospective, observational, multicentre cohort study.

INTRODUCTION: Mild traumatic brain injury is common in children and it can be challenging to accurately identify those in need of urgent medical intervention. The Scandinavian guidelines for management of minor and moderate head trauma in children, the Scandinavian Neurotrauma Committee guideline 2016 (SNC16), were developed to aid in risk stratification and decision-making in Scandinavian emergency departments (EDs). This guideline has been validated externally with encouraging results, but internal validation in the intended healthcare system is warranted prior to broad clinical implementation. OBJECTIVE: We aim to validate the diagnostic accuracy of the SNC16 to predict clinically important intracranial injuries (CIII) in paediatric patients suffering from blunt head trauma, assessed in EDs in Sweden and Norway. METHODS AND ANALYSIS: This is a prospective, pragmatic, observational cohort study. Children (aged 0-17 years) with blunt head trauma, presenting with a Glasgow Coma Scale of 9-15 within 24 hours postinjury at an ED in 1 of the 16 participating hospitals, are eligible for inclusion. Included patients are assessed and managed according to the clinical management routines of each hospital. Data elements for risk stratification are collected in an electronic case report form by the examining doctor. The primary outcome is defined as CIII within 1 week of injury. Secondary outcomes of importance include traumatic CT findings, neurosurgery and 3-month outcome. Diagnostic accuracy of the SNC16 to predict endpoints will be assessed by point estimate and 95% CIs for sensitivity, specificity, likelihood ratio, negative predictive value and positive predictive value. ETHICS AND DISSEMINATION: The study is approved by the ethical board in both Sweden and Norway. Results from this validation will be published in scientific journals, and a tailored development and implementation process will follow if the SNC16 is found safe and effective. TRIAL REGISTRATION NUMBER: NCT05964764.

Reliability in distinguishing murder from accidental event with current forensic criteria in traumatic head injury.

Discovering a body displaying signs of multiple head trauma requires a thorough examination by the forensic pathologist, and a multidisciplinary approach is recommended. However, determining the manner of death is not always possible. We present a case in which the body of a 60-year-old man was discovered lying face down on the floor of his apartment, partially unclothed, surrounded by blood and vomit, and presenting numerous head injuries. The autopsy concluded that the cause of death was a result of post-traumatic brain injury. Nevertheless, applying current criteria made it challenging to ascertain whether the trauma stemmed from an accidental event or an assault.

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

OBJECTIVE: Hospital-based clinical decision tools support clinician decision-making when a child presents to the emergency department with a head injury, particularly regarding CT scanning. However, there is no decision tool to support prehospital clinicians in deciding which head-injured children can safely remain at scene. This study aims to identify clinical decision tools, or constituent elements, which may be adapted for use in prehospital care. DESIGN: Systematic mapping review and narrative synthesis. DATA SOURCES: Searches were conducted using MEDLINE, EMBASE, PsycINFO, CINAHL and AMED. ELIGIBILITY CRITERIA: Quantitative, qualitative, mixed-methods or systematic review research that included a clinical decision support tool for assessing and managing children with head injury. DATA EXTRACTION AND SYNTHESIS: We systematically identified all in-hospital clinical decision support tools and extracted from these the clinical criteria used in decision-making. We complemented this with a narrative synthesis. RESULTS: Following de-duplication, 887 articles were identified. After screening titles and abstracts, 710 articles were excluded, leaving 177 full-text articles. Of these, 95 were excluded, yielding 82 studies. A further 14 studies were identified in the literature after cross-checking, totalling 96 analysed studies. 25 relevant in-hospital clinical decision tools were identified, encompassing 67 different clinical criteria, which were grouped into 18 categories. CONCLUSION: Factors that should be considered for use in a clinical decision tool designed to support paramedics in the assessment and management of children with head injury are: signs of skull fracture; a large, boggy or non-frontal scalp haematoma neurological deficit; Glasgow Coma Score less than 15; prolonged or worsening headache; prolonged loss of consciousness; post-traumatic seizure; amnesia in older children; non-accidental injury; drug or alcohol use; and less than 1 year old. Clinical criteria that require further investigation include mechanism of injury, clotting impairment/anticoagulation, vertigo, length of time of unconsciousness and number of vomits.

Traumatic intracranial hemorrhage in pediatrics: Implications of factor XIII deficiency and consumptive coagulopathy in abusive head trauma evaluation.

For infants that present with intracranial hemorrhage in the setting of suspected abusive head trauma (AHT), the standard recommendation is to perform an evaluation for a bleeding disorder. Factor XIII (FXIII) deficiency is a rare congenital bleeding disorder associated with intracranial hemorrhages in infancy, though testing for FXIII is not commonly included in the initial hemostatic evaluation. The current pediatric literature recognizes that trauma, especially traumatic brain injury, may induce coagulopathy in children, though FXIII is often overlooked as having a role in pediatric trauma-induced coagulopathy. We report an infant that presented with suspected AHT in whom laboratory workup revealed a decreased FXIII level, which was later determined to be caused by consumption in the setting of trauma induced coagulopathy, rather than a congenital disorder. Within the Child Abuse Pediatrics Research Network (CAPNET) database, 85 out of 569 (15 %) children had FXIII testing, 3 of those tested (3.5 %) had absent FXIII activity on qualitative testing, and 2 (2.4 %) children had activity levels below 30 % on quantitative testing. In this article we review the literature on the pathophysiology and treatment of low FXIII in the setting of trauma. This case and literature review demonstrate that FXIII consumption should be considered in the setting of pediatric AHT.

Retinodural haemorrhage of infancy, abusive head trauma, shaken baby syndrome: The continuing quest for evidence.

The shaken baby syndrome was originally proposed in the 1970s without any formal scientific basis. Once data generated by scientific research was available, the hypothesis became controversial. There developed essentially two sides in the debate. One side claimed that the clinical triad of subdural haemorrhage, retinal haemorrhage, and encephalopathy, or its components, is evidence that an infant has been shaken. The other side stated this is not a scientifically valid proposal and that alternative causes, such as low falls and natural diseases, should be considered. The controversy continues, but the contours have shifted. During the last 15 years, research has shown that the triad is not sufficient to infer shaking or abuse and the shaking hypothesis does not meet the standards of evidence-based medicine. This raises the issue of whether it is fit for either clinical practice or for the courtroom; evidence presented to the courts must be unassailable. WHAT THIS PAPER ADDS: There is insufficient scientific evidence to assume that an infant with the triad of subdural haemorrhage (SDH), retinal haemorrhage, and encephalopathy must have been shaken. Biomechanical and animal studies have failed to support the hypothesis that shaking can cause SDH and retinal haemorrhage. Patterns of retinal haemorrhage cannot distinguish abuse. Retinal haemorrhages are commonly associated with extracerebral fluid collections (including SDH) but not with shaking. Infants can develop SDH, retinal haemorrhage, and encephalopathy from natural diseases and falls as low as 1 foot. The shaking hypothesis and the literature on which it depends do not meet the standards of evidence-based medicine.

A Multicenter Study on the Clinical Characteristics and Outcomes Among Children With Moderate to Severe Abusive Head Trauma.

INTRODUCTION: We aimed to identify clinical characteristics, risk factors for diagnosis, and describe outcomes among children with AHT. METHODS: We performed an observational cohort study in tertiary care hospitals from 14 countries across Asia and Ibero-America. We included patients <5 years old who were admitted to participating pediatric intensive care units (PICUs) with moderate to severe traumatic brain injury (TBI). We performed descriptive analysis and multivariable logistic regression for risk factors of AHT. RESULTS: 47 (12%) out of 392 patients were diagnosed with AHT. Compared to those with accidental injuries, children with AHT were more frequently < 2 years old (42, 89.4% vs 133, 38.6%, p < 0.001), more likely to arrive by private transportation (25, 53.2%, vs 88, 25.7%, p < 0.001), but less likely to have multiple injuries (14, 29.8% vs 158, 45.8%, p = 0.038). The AHT group was more likely to suffer subdural hemorrhage (SDH) (39, 83.0% vs 89, 25.8%, p < 0.001), require antiepileptic medications (41, 87.2% vs 209, 60.6%, p < 0.001), and neurosurgical interventions (27, 57.40% vs 143, 41.40%, p = 0.038). Mortality, PICU length of stay, and functional outcomes at 3 months were similar in both groups. In the multivariable logistic regression, age <2 years old (aOR 8.44, 95%CI 3.07-23.2), presence of seizures (aOR 3.43, 95%CI 1.60-7.36), and presence of SDH (aOR 9.58, 95%CI 4.10-22.39) were independently associated with AHT. CONCLUSIONS: AHT diagnosis represented 12% of our TBI cohort. Overall, children with AHT required more neurosurgical interventions and the use of anti-epileptic medications. Children younger than 2 years and with SDH were independently associated with a diagnosis of AHT. TYPE OF STUDY: Observational cohort study. LEVEL OF EVIDENCE: III.

Application of a Machine Learning Algorithm in Prediction of Abusive Head Trauma in Children.

PURPOSE: We explored the application of a machine learning algorithm for the timely detection of potential abusive head trauma (AHT) using the first free-text note of an encounter and demographic information. METHODS: First free-text physician notes and demographic information were collected for children under 5 years of age at a Level 1 Trauma Center. The control group, which included patients with head/neck injury, was compared to those with AHT diagnosed by the Child Protective Team. Differential scores accounted for words overrepresented in AHT patient vs. control notes. Sentiment scores were reflective of note positivity/negativity and subjectivity scores accounted for note subjectivity/objectivity. The composite scores reflected the patient's differential score modified by the subjectivity score. Composite, sentiment, and subjectivity scores combined with demographic information trained a Random Forest (RF) machine learning algorithm to predict AHT. RESULTS: Final composite scores with demographic information were highly associated with AHT in a test dataset. The control group included 587 patients and the test group included 193 patients. Combining composite scores with demographic information into the RF model improved AHT classification area under the curve (AUC) from 0.68 to 0.78, with an overall accuracy of 84%. Feature importance analysis of our RF model revealed that composite score, sentiment, age, and subjectivity were the most impactful predictors of AHT. The sentiment was not significantly different between control and AHT notes (p = 0.87), while subjectivity trended higher for AHT notes (p = 0.081). CONCLUSION: We conclude that a machine learning algorithm can recognize patterns within free-text notes and demographic information that aid in AHT detection in children. LEVEL OF EVIDENCE: III.

[Initial Treatment of Multiple Trauma].

Head trauma is a common neurosurgical complication. It is encountered daily at neurosurgical outpatient departments or after-hour emergency outpatient departments. In addition, most cases of patients with trauma transported by ambulance involve those with head trauma. Head trauma is a common and unavoidable neurosurgical injury. In case of a head injury, the neurosurgeon should verify the level of consciousness and perform a proper neurological examination. A head computed tomography should be performed immediately for any abnormalities. However, currently, severe trauma is often complicated by head trauma and various other injuries. When medical examinations and treatments focus only on head trauma, preventable trauma death cannot be avoided. Functional prognosis due to secondary brain injury may be exacerbated. This article presents a standardized procedure for the initial care of patients with multiple trauma and head injuries.

How Antiscience Creates Confusion About the Diagnosis of Abusive Head Trauma.

This Viewpoint exposes the antiscience and misinformation used to generate skepticism about abusive head trauma in young children, putting this vulnerable population at risk.

Abusive Head Trauma: Historical and Current Perspectives of a Complex Diagnosis.

Abusive Head Trauma (AHT) results in more child fatalities than any other form of physical abuse and is associated with significant risk of morbidity for survivors. The diagnosis of AHT is made like any other complex medical condition and is based on a constellation of findings within the context of a reported history provided by the patient's caregiver(s). A standardized process with careful consideration of a differential diagnosis and utilization of a multidisciplinary team is essential. This article explores the history of the diagnosis of AHT, reviews the scientific basis for potential mechanisms, references the recommended medical evaluation, describes common findings, and the importance of early and accurate diagnosis.

Assessment System for Child Head Injury from Falls Based on Neural Network Learning.

Toddlers face serious health hazards if they fall from relatively high places at home during everyday activities and are not swiftly rescued. Still, few effective, precise, and exhaustive solutions exist for such a task. This research aims to create a real-time assessment system for head injury from falls. Two phases are involved in processing the framework: In phase I, the data of joints is obtained by processing surveillance video with Open Pose. The long short-term memory (LSTM) network and 3D transform model are then used to integrate key spots' frame space and time information. In phase II, the head acceleration is derived and inserted into the HIC value calculation, and a classification model is developed to assess the injury. We collected 200 RGB-captured daily films of 13- to 30-month-old toddlers playing near furniture edges, guardrails, and upside-down falls. Five hundred video clips extracted from these are divided in an 8:2 ratio into a training and validation set. We prepared an additional collection of 300 video clips (test set) of toddlers' daily falling at home from their parents to evaluate the framework's performance. The experimental findings revealed a classification accuracy of 96.67%. The feasibility of a real-time AI technique for assessing head injuries in falls through monitoring was proven.