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The Infant Injury Database: A Tool for the Study of Injury Patterns in Medicolegal Investigations of Child Abuse
Authors:Miriam E. Soto Martinez Ph.D.  Jennifer C. Love Ph.D.  Deborrah C. Pinto Ph.D.  Jason M. Wiersema Ph.D.  Sharon M. Derrick Ph.D.  Angela Bachim M.D.  Christopher Greeley M.D.  Marcella Donaruma‐Kwoh M.D.  Van Thi Thanh Truong M.S.  Si Gao M.S.  Christian M. Crowder Ph.D.
Affiliation:1.

https://orcid.org/0000-0002-7999-6802;2. Harris County Institute of Forensic Sciences, 1861 Old Spanish Trail, Houston, TX, 77054Corresponding author: Miriam E. Soto Martinez, Ph.D. E‐mail:;3. Office of the Chief Medical Examiner, 401 E Street SW, Washington, DC, 20024;4. Harris County Institute of Forensic Sciences, 1861 Old Spanish Trail, Houston, TX, 77054;5. Department of Life Sciences, Texas A&M University – Corpus Christi, 6300 Ocean Drive, Unit 5800, Corpus Christi, TX, 78412;6. Department of Pediatrics, Baylor College of Medicine, 6621 Fannin St, Houston, TX, 77030;7. Center for Clinical Research and Evidence‐Based Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin St, Houston, TX, 77030;8. Dallas County Medical Examiner Office, Southwestern Institute of Forensic Sciences, 2355 N Stemmons Fwy, Dallas, TX, 75207

Abstract:In 2012, the Harris County Institute of Forensic Sciences began prospectively collecting injury data from pediatric autopsies. These data and associated case information from 635 pediatric cases are archived in the Infant Injury Database (IID). This paper introduces the IID to the forensic community and demonstrates its potential utility for child abuse and infant fatality investigations. The database is intended to be a source of evidence‐based research for coroners/medical examiners and clinicians in the recognition and diagnosis of child abuse. RR estimates were employed to quantify the relationship between individual autopsy findings to trauma‐related and nontrauma‐related causes of death. For example, unsurprisingly, the RR of trauma cases with multiple injury types is significantly greater than other causes of death, but the RR results provide a quantitative representation of the relationship. ROC curve modeling of the presence/absence of various injury types performed well at discriminating trauma from other causes of death (AUC = 0.96).
Keywords:forensic science  infant  child  injury  databases  data sharing
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