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).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1622-1632 |
| Number of pages | 11 |
| Journal | Journal of Forensic Sciences |
| Volume | 64 |
| Issue number | 6 |
| DOIs | |
| State | Published - Nov 1 2019 |
| Externally published | Yes |
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Keywords
- child
- data sharing
- databases
- forensic science
- infant
- injury
ASJC Scopus subject areas
- Pathology and Forensic Medicine
- Genetics
Cite this
The Infant Injury Database : A Tool for the Study of Injury Patterns in Medicolegal Investigations of Child Abuse. / Soto Martinez, Miriam E.; Love, Jennifer C.; Pinto, Deborrah C.; Wiersema, Jason M.; Derrick, Sharon M.; Bachim, Angela; Greeley, Christopher; Donaruma-Kwoh, Marcella; Truong, Van Thi Thanh; Gao, Si; Crowder, Christian M.
In: Journal of Forensic Sciences, Vol. 64, No. 6, 01.11.2019, p. 1622-1632.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The Infant Injury Database
T2 - A Tool for the Study of Injury Patterns in Medicolegal Investigations of Child Abuse
AU - Soto Martinez, Miriam E.
AU - Love, Jennifer C.
AU - Pinto, Deborrah C.
AU - Wiersema, Jason M.
AU - Derrick, Sharon M.
AU - Bachim, Angela
AU - Greeley, Christopher
AU - Donaruma-Kwoh, Marcella
AU - Truong, Van Thi Thanh
AU - Gao, Si
AU - Crowder, Christian M.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - 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).
AB - 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).
KW - child
KW - data sharing
KW - databases
KW - forensic science
KW - infant
KW - injury
UR - http://www.scopus.com/inward/record.url?scp=85074294851&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85074294851&partnerID=8YFLogxK
U2 - 10.1111/1556-4029.14120
DO - 10.1111/1556-4029.14120
M3 - Article
C2 - 31265140
AN - SCOPUS:85074294851
VL - 64
SP - 1622
EP - 1632
JO - Journal of Forensic Sciences
JF - Journal of Forensic Sciences
SN - 0022-1198
IS - 6
ER -