Accuracy of PECARN, CATCH, and CHALICE head injury decision rules in children: a prospective cohort study.

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), followed by CATCH (high-risk predictors only; 95·2%; 76·2-99·9; 20/21; medium-risk and high-risk predictors 88·7%; 82·2-93·4; 125/141) and CHALICE (92·3%, 89·2-94·7; 370/401). In the comparison cohort of 18 913 patients with mild injuries, sensitivities for clinically important TBI were similar. Negative predictive values in both analyses were higher than 99% for all rules. INTERPRETATION: The sensitivities of three clinical decision rules for head injuries in children were high when used as designed. The findings are an important starting point for clinicians considering the introduction of one of the rules. FUNDING: National Health and Medical Research Council, Emergency Medicine Foundation, Perpetual Philanthropic Services, WA Health Targeted Research Funds, Townsville Hospital Private Practice Fund, Auckland Medical Research Foundation, A + Trust.

Accuracy of Components of SCAT to Identify Children With Concussion.

BACKGROUND: The Sport Concussion Assessment Tool version 3 (SCAT3) and its child version (ChildSCAT3) are composite physical and neuropsychological scoring systems used to assess athletes after sport-related concussion. Based on limited validation data, we aimed to evaluate the ability of SCAT3 and ChildSCAT3 to differentiate children aged 5 to 16 years with concussion from controls. METHODS: Prospective observational study of children in the emergency department with concussion (CONC group) and 2 control groups ([1] upper-limb injury [ULI] and [2] Well children) with equal-sized subgroups in 3 age bands of 5 to 8, 9 to 12, and 13 to 16 years. ChildSCAT3 was used for participants aged 5 to 12 years, and SCAT3 was used for participants aged 13 to 16 years. Differences between study groups were analyzed by using analysis of variance models, adjusting for age and sex. RESULTS: We enrolled 264 children (90 CONC, 90 ULI, and 84 Well) in equal-sized age bands. The number and severity of child- and parent-reported symptom scores were significantly higher in the CONC group than either control group (P < .001). Mean double (ChildSCAT3 P < .001) and tandem stance errors (both P ≤ .01) were also significantly higher, and immediate memory was significantly lower for the CONC group (P < .01). No statistically significant group differences were found for orientation and digit backward tasks. There were no significant differences between ULI and Well control groups. CONCLUSIONS: Overall, SCAT3 and ChildSCAT3 can differentiate concussed from nonconcussed patients, particularly in symptom number and severity.