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通过玻璃体液中白蛋白和钾浓度来提高死亡时间推断的准确性。

Improvement in estimation of time since death by albumin and potassium concentrations in vitreous humor.

机构信息

Section of Forensic Medical Sciences, Department of Health Sciences, University of Florence, Florence, Italy.

General Laboratory, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.

出版信息

Forensic Sci Int. 2020 Sep;314:110393. doi: 10.1016/j.forsciint.2020.110393. Epub 2020 Jun 27.

Abstract

The measurement of the potassium concentration (K) in vitreous humor (VH) has been a well-known adjunct for the estimation of the post-mortem interval (PMI) since the early 1960s. For years, however, many authors have been using other biochemical markers in an attempt to improve predictions. In this paper we confirm the role of K in the determination of the PMI adopting a linear regression model and we investigate whether other biochemical markers could improve the model through a multiple regression analysis. Additionally, the research aims to confirm the data of the analytes of interest among different techniques and instrumentations. We deemed this as an important issue because a primary concern in the literature is that automated analytical methods are often calibrated and, for the most part, validated for serum or urine analysis. Our results confirmed the well-established role of K as well as highlighted Albumin as a novel marker to be considered for further improvement of prediction models, especially since 72 h after death.

摘要

自 20 世纪 60 年代初以来,检测玻璃体液(VH)中的钾浓度(K)一直是估计死后时间间隔(PMI)的重要辅助手段。然而,多年来,许多作者一直在使用其他生化标志物来尝试改进预测。在本文中,我们通过线性回归模型证实了 K 在确定 PMI 中的作用,并通过多元回归分析研究了其他生化标志物是否可以通过该模型进行改进。此外,研究旨在确认不同技术和仪器分析物的相关数据。我们认为这是一个重要问题,因为文献中的一个主要关注点是,自动分析方法通常针对血清或尿液分析进行校准和验证。我们的研究结果证实了 K 的既定作用,并强调了白蛋白是一种新的标志物,值得进一步研究,以改进预测模型,特别是在死后 72 小时之后。

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