Do not let the title of the article in this issue of Pediatrics, “Traumatic Head Injury and the Diagnosis of Abuse: A Cluster Analysis,” by Boos et al1 intimidate those of you who are not biostatisticians. This article is important for providers who evaluate children with head injuries in the hospital setting. Young children remain disproportionately affected by child maltreatment, with the majority of fatalities occurring as a result of abusive head trauma (AHT).2 There has been extensive, high-quality research into clinical and radiologic findings associated with AHT,3–5 and multicenter research networks have been formed to accelerate this important work. One of the earliest networks, the Pediatric Brain Injury Research Network (PediBIRN), has prospectively collected data on children <3 years of age with symptomatic head injury in the PICU setting to identify a valid and reliable clinical prediction rule (CPR) for pediatric AHT.6...
Computer Algorithms Support Physician Decisions in Traumatic Head Injury
FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships to this article to disclose.
POTENTIAL CONFLICT OF INTEREST: Drs George and Harper’s institution has received payment for expert witness testimony that has been provided in cases of suspected child abuse in which the physicians have been subpoenaed to testify.
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Caroline L.S. George, Nancy S. Harper; Computer Algorithms Support Physician Decisions in Traumatic Head Injury. Pediatrics January 2022; 149 (1): e2021054009. 10.1542/peds.2021-054009
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