Madea Burkhard, Rödig Alexander
Institute of Legal Medicine, University of Bonn, Stiftsplatz 12, D-53111 Bonn, Germany.
Forensic Sci Int. 2006 Dec 20;164(2-3):87-92. doi: 10.1016/j.forsciint.2005.12.002. Epub 2006 Jan 24.
Since more than 40 years reports on the rise of potassium concentration [K(+)] in vitreous humor have been published with different statements concerning the accuracy of death time estimation. In the last years several statistical approaches for a more accurate estimation of the time since death have been reported. While in most investigations the PMI has been used as the independent and [K(+)] as the dependent variable in linear regression analysis between PMI and [K(+)], recently it has been suggested to use [K(+)] as the independent variable for regression analysis. Changing the variables would lead to a higher accuracy of death time estimation. This has also been recommended for regression analysis between hypoxanthine concentration [Hx] and time since death. This hypothesis has been checked on independent cases with potassium and hypoxanthine in vitreous humor. Linear regression with [K(+)] or [Hx] as independent variable has revealed a slightly more accurate death time estimation compared to a linear regression with PMI as independent variable. Thus, e.g. the accuracy could have been improved from +/-25.96 to +/- 23.27h by using [K(+)] as independent variable. Another statistical approach has re-evaluated six large studies on the rise of vitreous [K(+)] using a local regression analysis (Loess procedure). Based on this re-evaluation an accuracy of death time estimation has been recommended (95% limits of confidence of +/-1h in the early PMI and +/-10h, 110h postmortem) which has surpassed even optimistic results of earlier investigations. This recommended accuracy of death time estimation has been checked on a random sample of 492 cases. Only 153 cases have been within the predicted postmortem interval, 339 lay outside with a systematic overestimation of the time since death.
40多年来,已有关于玻璃体液中钾浓度[K⁺]升高的报告发表,这些报告对死亡时间估计的准确性有不同说法。在过去几年中,已经报道了几种用于更准确估计死亡时间的统计方法。在大多数研究中,尸检间隔(PMI)被用作线性回归分析中PMI与[K⁺]之间的自变量,而[K⁺]被用作因变量,最近有人建议将[K⁺]用作回归分析的自变量。改变变量将导致死亡时间估计的更高准确性。这也被推荐用于次黄嘌呤浓度[Hx]与死亡时间之间的回归分析。这个假设已经在玻璃体液中含有钾和次黄嘌呤的独立案例上得到验证。与以PMI为自变量的线性回归相比,以[K⁺]或[Hx]为自变量的线性回归显示出死亡时间估计略为准确。因此,例如,通过使用[K⁺]作为自变量,准确性可以从±25.96小时提高到±23.27小时。另一种统计方法使用局部回归分析(Loess程序)重新评估了六项关于玻璃体液中[K⁺]升高的大型研究。基于这种重新评估,推荐了死亡时间估计的准确性(早期PMI时95%置信限为±1小时,死后110小时为±10小时),这甚至超过了早期研究的乐观结果。这个推荐的死亡时间估计准确性已经在492个案例的随机样本上得到验证。只有153个案例在预测的死后间隔内,339个案例超出范围,死亡时间被系统高估。