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[不同死后间隔时间尸体玻璃体液的成分]

[Contents of vitreous humor of dead body with different postmortem intervals].

作者信息

Tao Tao, Xu Jing, Luo Tong-Xing, Liao Zhi-Gang, Pan Hong-Fu

机构信息

Department of Forensic Pathology, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu 610041, China.

出版信息

Sichuan Da Xue Xue Bao Yi Xue Ban. 2006 Nov;37(6):898-900, 927.

Abstract

OBJECTIVE

To establish regression correlations between postmortem interval (PMI) and contents of human vitreous humor of dead bodies for forensic purposes.

METHODS

The human vitreous humor were taken from 126 dead bodies between 0.5 to 216 hours after death, and 11 chemical elements were detected by the OLYMPUS AU400 auto-biochemistry instrument.

RESULTS

(1) The glucose, natrium and chlorine in human vitreous humor decreased, while the urea, creatinine, uric acid, potassium, calcium, magnesium, phosphorus, and micro-protein increased after death. The change of glucose, potassium and phosphorus were well correlated with the PMI (r = 0.824, 0.967, 0.880). But the uric acid and micro-protein did not have a good correlation with the PMI(r = 0.350, 0.153). (2) The stepwise regression analysis established the following equations for the PMI (Y): Y = -35. 15+6.05X, R2 = 0.957 (X = potassium); Y = -27.83+ 5.49X(1) - 1.35X(2), R2 = 0.960 (X(1) = potassium, X(2) = glucose); Y = -6.37+3.93X(1) -2.29X(2) + 5.36X(3), R2 = 0.966 (X(1) = potassium, X(2) = glucose, X(3) = phosphorus).

CONCLUSIONS

(1) Eleven chemical components in human vitreous humor change after death, among which postassium has the best linear correlation with the PMI within 72 hours after death. (2) The accuracy of the estimation of PMI could be improved by establishing a multi-variable equation through stepwise regression.

摘要

目的

建立死后间隔时间(PMI)与尸体玻璃体液含量之间的回归相关性,用于法医学目的。

方法

从126具尸体死后0.5至216小时的玻璃体液中取样,用OLYMPUS AU400全自动生化分析仪检测11种化学元素。

结果

(1)死后人体玻璃体液中葡萄糖、钠和氯含量降低,而尿素、肌酐、尿酸、钾、钙、镁、磷和微量蛋白含量升高。葡萄糖、钾和磷的变化与PMI相关性良好(r = 0.824、0.967、0.880)。但尿酸和微量蛋白与PMI相关性不佳(r = 0.350、0.153)。(2)逐步回归分析建立了以下PMI(Y)方程:Y = -35.15 + 6.05X,R2 = 0.957(X = 钾);Y = -27.83 + 5.49X(1) - 1.35X(2),R2 = 0.960(X(1) = 钾,X(2) = 葡萄糖);Y = -6.37 + 3.93X(1) - 2.29X(2) + 5.36X(3),R2 = 0.966(X(1) = 钾,X(2) = 葡萄糖,X(3) = 磷)。

结论

(1)人玻璃体液中的11种化学成分死后会发生变化,其中钾在死后72小时内与PMI的线性相关性最佳。(2)通过逐步回归建立多变量方程可提高PMI估计的准确性。

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