The Infant Injury Database: A Tool for the Study of Injury Patterns in Medicolegal Investigations of Child Abuse

Area of Science:

• Forensic Pathology
• Pediatric Autopsy
• Child Abuse Investigation

Background:

• The Harris County Institute of Forensic Sciences initiated prospective collection of pediatric autopsy injury data in 2012.
• Data from 635 pediatric cases are archived in the Infant Injury Database (IID).
• The IID serves as a resource for forensic professionals and clinicians.

Purpose of the Study:

• Introduce the Infant Injury Database (IID) to the forensic community.
• Demonstrate the IID's utility in child abuse and infant fatality investigations.
• Provide a source of evidence-based research for diagnosing child abuse.

Main Methods:

• Prospective collection of injury data from pediatric autopsies.
• Archiving case information and injury data in the Infant Injury Database (IID).
• Utilizing Relative Risk (RR) estimates to quantify associations between autopsy findings and causes of death.
• Employing Receiver Operating Characteristic (ROC) curve modeling to assess diagnostic performance.

Main Results:

• The IID contains data from 635 pediatric cases.
• Relative Risk (RR) estimates quantitatively represent the relationship between autopsy findings and trauma-related deaths.
• Cases with multiple injury types showed a significantly greater RR for trauma-related deaths.
• ROC curve analysis demonstrated high accuracy (AUC = 0.96) in discriminating trauma from other causes of death based on injury patterns.

Conclusions:

• The Infant Injury Database (IID) is a valuable resource for forensic investigations.
• Autopsy findings, particularly patterns of injury, are effective indicators for identifying trauma-related deaths in pediatric cases.
• The IID supports evidence-based approaches to the recognition and diagnosis of child abuse.