BACKGROUND AND OBJECTIVES: Abusive head trauma (AHT) may be missed in the clinical setting. Clinical prediction tools are used to reduce variability in practice and inform decision-making. From a systematic review and individual patient data analysis we derived the Predicting Abusive Head Trauma (PredAHT) tool, using multilevel logistic regression to predict likelihood of AHT. This study aims to externally validate the PredAHT tool.METHODS: Consecutive children aged ,36 months admitted with an intracranial injury, confirmed as abusive or nonabusive, to 2 sites used in the original model were ascertained. Details of 6 influential features were recorded (retinal hemorrhage, rib and long -bone fractures, apnea, seizures, and head or neck bruising). We estimated the likelihood of an unrecorded feature being present with multiple imputation; analysis included sensitivity, specificity, and area under the curve, with 95% confidence intervals (CIs).RESULTS: Data included 133 non-AHT cases and 65 AHT cases, 97% of children were ,24 months old. Consistent with original predictions, when $3 features were present in a child ,36 months old with intracranial injury, the estimated probability of AHT was .81.5% (95% CI, 63.3-91.8). The sensitivity of the tool was 72.3% (95% CI, 60.4-81.7), the specificity was 85.7% (95% CI, 78.8-90.7), area under the curve 0.88 (95% CI, 0.823-0.926).CONCLUSIONS: When tested on novel data, the PredAHT tool performed well. This tool has the potential to contribute to decision-making in these challenging cases. An implementation study is needed to explore its performance and utility within the child protection process.
WHAT'S KNOWN ON THIS SUBJECT:A previous multivariable statistical model, using individual patient data, estimated the probability of abusive head trauma based on the presence or absence of 6 clinical features: rib fracture, long-bone fracture, apnea, seizures, retinal hemorrhage, and head or neck bruising.
WHAT THIS STUDY ADDS:The model performed well in this validation, with a sensitivity of 72.3%, specificity of 85.7%, and area under the curve of 0.88. In children ,3 years old with intracranial injury plus $3 features, the estimated probability of abuse is .81.5%. Ms Cowley drafted the Methods section, produced the tables, revised the article, formatted the article, and contributed to overall editing; Dr Morris collected the data in data set 1 and entered all anonymized data into the database; Dr. Maguire had the initial study idea, drafted and revised the article, and contributed to the study design and overall editing; Dr Farewell designed and conducted all statistical analyses, drafted the statistical components of the article, produced the figures, and contributed to overall editing; Prof Kemp revised the article and contributed to overall study design and editing; and all authors approved the final manuscript as submitted. Clinicians who undertake child protection investigations of children presenting with head injury can meet resistance and face a barrage of critici...