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METHODS: We conducted a retrospective, secondary analysis of an existing, deidentified, prospective data set captured to derive a bruising CDR. Subjects were patients under 3 years with bruising and confirmed acute head trauma. An expert medical panel had previously identified patients with AHT. Measures of the CDR's AHT screening performance (sensitivity, specificity, likelihood ratios) were calculated with 95% confidence intervals (CIs). RESULTS: Expert medical panel members had classified 78 of 117 eligible patients (67%) as AHT, 38 (33%) as non-AHT, and 1 as indeterminate. Excluding the indeterminate case, the PediBIRN-4 demonstrated a sensitivity of 0.96 (95% CI, 0.88-0.99), specificity of 0.29 (95% CI, 0.16-0.46), positive likelihood ratio of 1.35 (95% CI, 1.10-1.67), and negative likelihood ratio of 0.13 (95% CI, 0.04-0.46). Close inspection of the data revealed that 1 of the CDR's predictor variables had lowered specificity without impacting sensitivity. Eliminating this variable would have increased specificity to 0.84 (95% CI, 0.68-0.93). CONCLUSIONS: The PediBIRN 4-variable CDR demonstrated AHT screening sensitivity in the pediatric ED equivalent to pediatric intensive care unit and other inpatient settings, but lower specificity. Further study of a simplified 3-variable PediBIRN AHT screening tool for the ED setting is warranted.

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OBJECTIVE: To estimate the impact of the PediBIRN (Pediatric Brain Injury Research Network) 4-variable clinical decision rule (CDR) on abuse evaluations and missed abusive head trauma in pediatric intensive care settings. STUDY DESIGN: This was a cluster randomized trial. Participants included 8 pediatric intensive care units (PICUs) in US academic medical centers; PICU and child abuse physicians; and consecutive patients with acute head injures <3 years (n = 183 and n = 237, intervention vs control). PICUs were stratified by patient volumes, pair-matched, and randomized equally to intervention or control conditions. Randomization was concealed from the biostatistician. Physician-directed, cluster-level interventions included initial and booster training, access to an abusive head trauma probability calculator, and information sessions. Outcomes included "higher risk" patients evaluated thoroughly for abuse (with skeletal survey and retinal examination), potential cases of missed abusive head trauma (patients lacking either evaluation), and estimates of missed abusive head trauma (among potential cases). Group comparisons were performed using generalized linear mixed-effects models. RESULTS: Intervention physicians evaluated a greater proportion of higher risk patients thoroughly (81% vs 73%, P = .11) and had fewer potential cases of missed abusive head trauma (21% vs 32%, P = .05), although estimated cases of missed abusive head trauma did not differ (7% vs 13%, P = .22). From baseline (in previous studies) to trial, the change in higher risk patients evaluated thoroughly (67%→81% vs 78%→73%, P = .01), and potential cases of missed abusive head trauma (40%→21% vs 29%→32%, P = .003), diverged significantly. We did not identify a significant divergence in the number of estimated cases of missed abusive head trauma (15%→7% vs 11%→13%, P = .22). CONCLUSIONS: PediBIRN-4 CDR application facilitated changes in abuse evaluations that reduced potential cases of missed abusive head trauma in PICU settings. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03162354.

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OBJECTIVE: To replicate the previously published finding that the absence of a history of trauma in a child with obvious traumatic head injuries demonstrates high specificity and high positive predictive value (PPV) for abusive head trauma. STUDY DESIGN: This was a secondary analysis of a deidentified, cross-sectional dataset containing prospective data on 346 young children with acute head injury hospitalized for intensive care across 18 sites between 2010 and 2013, to estimate the diagnostic relevance of a caregiver's specific denial of any trauma, changing history of accidental trauma, or history of accidental trauma inconsistent with the child's gross motor skills. Cases were categorized as definite or not definite abusive head trauma based solely on patients' clinical and radiologic findings. For each presumptive historical "red flag," we calculated sensitivity, specificity, predictive values, and likelihood ratio (LR) with 95% CI for definite abusive head trauma in all patients and also in cohorts with normal, abnormal, or persistent abnormal neurologic status. RESULTS: A caregiver's specific denial of any trauma demonstrated a specificity of 0.90 (95% CI, 0.84-0.94), PPV of 0.81 (95% CI, 0.71-0.88), and a positive LR (LR+) of 4.83 (95% CI, 3.07-7.61) for definite abusive head trauma in all patients. Specificity and LR+ were lowest-not highest-in patients with persistent neurologic abnormalities. The 2 other historical red flags showed similar trends. CONCLUSIONS: A caregiver's specific denial of any trauma, changing history of accidental trauma, or history of accidental trauma that is developmentally inconsistent are each highly specific (>0.90) but may provide weaker support than previously reported for a diagnosis of abusive head trauma in patients with persistent neurologic abnormalities.

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OBJECTIVE: To characterize racial and ethnic disparities in the evaluation and reporting of suspected abusive head trauma (AHT) across the 18 participating sites of the Pediatric Brain Injury Research Network (PediBIRN). We hypothesized that such disparities would be confirmed at multiple sites and occur more frequently in patients with a lower risk for AHT. STUDY DESIGN: Aggregate and site-specific analysis of the cross-sectional PediBIRN dataset, comparing AHT evaluation and reporting frequencies in subpopulations of white/non-Hispanic and minority race/ethnicity patients with lower vs higher risk for AHT. RESULTS: In the PediBIRN study sample of 500 young, acutely head-injured patients hospitalized for intensive care, minority race/ethnicity patients (n = 229) were more frequently evaluated (P < .001; aOR, 2.2) and reported (P = .001; aOR, 1.9) for suspected AHT than white/non-Hispanic patients (n = 271). These disparities occurred almost exclusively in lower risk patients, including those ultimately categorized as non-AHT (P = .001 [aOR, 2.4] and P = .003 [aOR, 2.1]) or with an estimated AHT probability of ≤25% (P <.001 [aOR, 4.1] and P <.001 [aOR, 2.8]). Similar site-specific analyses revealed that these results reflected more extreme disparities at only 2 of 18 sites, and were not explained by local confounders. CONCLUSION: Significant race/ethnicity-based disparities in AHT evaluation and reporting were observed at only 2 of 18 sites and occurred almost exclusively in lower risk patients. In the absence of local confounders, these disparities likely represent the impact of local physicians' implicit bias.

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OBJECTIVE: To assess interrater reliability and accuracy of an expert panel in classifying injuries of patients as abusive or accidental based on comprehensive case information. STUDY DESIGN: Data came from a prospective, observational, multicenter study investigating bruising characteristics of children younger than 4 years. We enrolled 2166 patients with broad ranges of illnesses and injuries presenting to one of 5 pediatric emergency departments in whom bruises were identified during examination. We collected comprehensive data regarding current and past injuries and illnesses, and provided deidentified, standardized case information to a 9-member multidisciplinary panel of experts with extensive experience in pediatric injury. Each panelist classified cases using a 5-level ordinal scale ranging from definite abuse to definite accident. Panelists also assessed whether report to child protective services (CPS) was warranted. We calculated reliability coefficients for likelihood of abuse and decision to report to CPS. RESULTS: The interrater reliability of the panelists was high. The Kendall coefficient (95% CI) for the likelihood of abuse was 0.89 (0.87, 0.91) and the kappa coefficient for the decision to report to CPS was 0.91 (0.87, 0.94). Reliability of pairs and subgroups of panelists were similarly high. A panel composite classification was nearly perfectly accurate in a subset of cases having definitive, corroborated injury status. CONCLUSIONS: A panel of experts with different backgrounds but common expertise in pediatric injury is a reliable and accurate criterion standard for classifying pediatric injuries as abusive or accidental in a sample of children presenting to a pediatric emergency department.

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OBJECTIVE: To conduct a retrospective, theoretical comparison of actual pediatric intensive care unit (PICU) screening for abusive head trauma (AHT) vs AHT screening guided by a previously validated 4-variable clinical prediction rule (CPR) in datasets used by the Pediatric Brain Injury Research Network to derive and validate the CPR. STUDY DESIGN: We calculated CPR-based estimates of abuse probability for all 500 patients in the datasets. Next, we demonstrated a positive and very strong correlation between these estimates of abuse probability and the overall diagnostic yields of our patients' completed skeletal surveys and retinal examinations. Having demonstrated this correlation, we applied mean estimates of abuse probability to predict additional, positive abuse evaluations among patients lacking skeletal survey and/or retinal examination. Finally, we used these predictions of additional, positive abuse evaluations to extrapolate and compare AHT detection (and 2 other measures of AHT screening accuracy) in actual PICU screening for AHT vs AHT screening guided by the CPR. RESULTS: Our results suggest that AHT screening guided by the CPR could theoretically increase AHT detection in PICU settings from 87%-96% (P < .001), and increase the overall diagnostic yield of completed abuse evaluations from 49%-56% (P = .058), while targeting slightly fewer, though not significantly less, children for abuse evaluation. CONCLUSIONS: Applied accurately and consistently, the recently validated, 4-variable CPR could theoretically improve the accuracy of AHT screening in PICU settings.

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