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.

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).

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