2020
DOI: 10.1136/emermed-2019-208893
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Validation of the PredAHT-2 prediction tool for abusive head trauma

Abstract: ObjectiveThe validated Predicting Abusive Head Trauma (PredAHT) clinical prediction tool calculates the probability of abusive head trauma (AHT) in children <3 years of age who have sustained intracranial injuries (ICIs) identified on neuroimaging, based on combinations of six clinical features: head/neck bruising, seizures, apnoea, rib fracture, long bone fracture and retinal haemorrhages. PredAHT version 2 enables a probability calculation when information regarding any of the six features is absent. We a… Show more

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Cited by 10 publications
(6 citation statements)
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References 30 publications
(47 reference statements)
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“…The sensitivity of the tool based on a 50% probability cut-off is 72.3% and specificity of 85.7% (77,78). PredAHT-2 was updated to account for missing data, as well as externally validated in an Australian/New Zealand population (79). The Pittsburgh Infant Brain Injury Score (PIBIS) was developed by Berger et al to guide the decision-making process for neuroimaging in otherwise healthy infants presenting to the ED at risk for AHT given symptoms that could be attributed to intracranial pathology in the absence of a trauma history.…”
Section: Clinical Prediction Rulesmentioning
confidence: 99%
“…The sensitivity of the tool based on a 50% probability cut-off is 72.3% and specificity of 85.7% (77,78). PredAHT-2 was updated to account for missing data, as well as externally validated in an Australian/New Zealand population (79). The Pittsburgh Infant Brain Injury Score (PIBIS) was developed by Berger et al to guide the decision-making process for neuroimaging in otherwise healthy infants presenting to the ED at risk for AHT given symptoms that could be attributed to intracranial pathology in the absence of a trauma history.…”
Section: Clinical Prediction Rulesmentioning
confidence: 99%
“…Thirty‐five imaging‐related recommendations were developed: three adopted, 10 adapted and 22 new; 18 EIRs, five CBRs and 12 PPs (Table 2). A large body of evidence, including Australian and New Zealand studies, 5–7,24,31–36 was available for the key initial decision process in the acute care setting, that is, the question of ‘Which children should undergo head CT?’ Among Australian and New Zealand head injured children, the PECARN CDR was the most accurate in identifying children with clinically important traumatic brain injury, traumatic brain injury on CT and requirement for neurosurgical management 5 . Therefore, the risk factors identified in the PECARN CDR, together with post‐traumatic seizures 37 and abnormal neurological examination (Table 2; Box 1), were used to risk stratify mild and moderate head injured children within the PREDICT Guideline Recommendations and the Guideline Algorithm.…”
Section: Resultsmentioning
confidence: 99%
“…The quality of the evidence to develop imaging guidance for children with underlying ventricular shunts, bleeding disorders, neurodevelopmental disorders, associated conditions such as intoxication, or associated concerns such as abusive head trauma was limited by small sample sizes 31,33,34,40,41 resulting in a greater number of CBRs and PPs (Table 2).…”
Section: Resultsmentioning
confidence: 99%
“…However, this serves mainly as a reminder that there is no injury pattern that is pathognomonic for abuse, and providers should put injuries within the context of the reported event and make an effort to rule out underlying conditions or alternative explanations. That said, there are a variety of validated clinical prediction scores that, when used in conjunction with an individual physician's clinical judgment, and consultation by a child abuse expert if available, may help detect the presence of AHT [67,68] (Table 2).…”
Section: Abusive Head Traumamentioning
confidence: 99%