van Daalen Marjolijn A, de Kat Dorothée S, Oude Grotebevelsborg Bernice F L, de Leeuwe Roosje, Warnaar Jeroen, Oostra Roelof Jan, M Duijst-Heesters Wilma L J
Isala Hospital, Meppel, the Netherlands.
Academic Medical Center (AMC), Amsterdam, The Netherlands.
J Forensic Sci. 2017 Mar;62(2):369-373. doi: 10.1111/1556-4029.13258.
This study aimed to develop an aquatic decomposition scoring (ADS) method and investigated the predictive value of this method in estimating the postmortem submersion interval (PMSI) of bodies recovered from the North Sea. This method, consisting of an ADS item list and a pictorial reference atlas, showed a high interobserver agreement (Krippendorff's alpha ≥ 0.93) and hence proved to be valid. This scoring method was applied to data, collected from closed cases-cases in which the postmortal submersion interval (PMSI) was known-concerning bodies recovered from the North Sea from 1990 to 2013. Thirty-eight cases met the inclusion criteria and were scored by quantifying the observed total aquatic decomposition score (TADS). Statistical analysis demonstrated that TADS accurately predicts the PMSI (p < 0.001), confirming that the decomposition process in the North Sea is strongly correlated to time.
本研究旨在开发一种水生分解评分(ADS)方法,并研究该方法在估计从北海打捞尸体的死后浸泡时间(PMSI)方面的预测价值。该方法由一个ADS项目列表和一本图片参考图谱组成,显示出较高的观察者间一致性(克里彭多夫阿尔法系数≥0.93),因此被证明是有效的。这种评分方法应用于从1990年至2013年从北海打捞的尸体的已结案数据(即已知死后浸泡时间(PMSI)的案件)。38个案例符合纳入标准,并通过量化观察到的总水生分解评分(TADS)进行评分。统计分析表明,TADS能够准确预测PMSI(p<0.001),证实北海的分解过程与时间密切相关。