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Erschienen in: Forensic Science, Medicine and Pathology 4/2023

07.02.2023 | Original Article

Postmortem injury evaluation using the Forensic Injury Severity Score Template (FISST): a preliminary study

verfasst von: Dae Geon Kim, Hae-Sung Choi, Tae Hwan Lee, Joo-Young Na

Erschienen in: Forensic Science, Medicine and Pathology | Ausgabe 4/2023

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Abstract

The Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS) are important evaluation tools used in clinical practice to determine the degree of injury in patients with trauma. However, they are not suitable for forensic practice and their use in forensic applications is limited. This study aimed to present a system that can objectively and quantitatively determine the severity of postmortem injuries and that can be applied to forensic medicine. Subsequently, we applied this system to individual postmortem cases and analyzed the injuries identified during autopsy. We performed a retrospective study of 119 autopsies performed between 2018 and 2021. Data were categorized and analyzed using the Forensic Injury Severity Score Template (FISST), a scoring system developed based on the AIS and ISS. The mean FISST scores were as follows: men, 53.6; women, 46.8; 20–65 years old, 55.6; older than 65 years, 41.4; natural death, 13.8; unnatural death, 66.3; and all deaths, 51.8. Statistically significant differences in the FISST scores were found between natural and unnatural deaths, suicidal and accidental deaths, and trauma-related death subtypes. Injuries identified during autopsy can be objectively and quantitatively evaluated using FISST. We suggest that FISST is a useful tool in forensic medicine because it is tailor-made for injury evaluation from a postmortem perspective.
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Metadaten
Titel
Postmortem injury evaluation using the Forensic Injury Severity Score Template (FISST): a preliminary study
verfasst von
Dae Geon Kim
Hae-Sung Choi
Tae Hwan Lee
Joo-Young Na
Publikationsdatum
07.02.2023
Verlag
Springer US
Erschienen in
Forensic Science, Medicine and Pathology / Ausgabe 4/2023
Print ISSN: 1547-769X
Elektronische ISSN: 1556-2891
DOI
https://doi.org/10.1007/s12024-023-00583-9

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