饮酒增加了许多慢性健康不良后果的风险,如肝炎,恶性肿瘤,以及灾难性的后果,例如以致命伤害告终的道路交通事故。在许多法医案件中,不同体液的生化和毒理学分析对于确定死亡原因和死后间隔至关重要。血,尿液,和玻璃体液是在任何毒理学分析中检测酒精的最有价值的体液。酒精是造成全球广泛发病率和死亡率的原因。血液酒精浓度(BAC)是调查各种犯罪和事故现场的必要毒理学测试。本研究全面探索了人口统计学特征,BAC分布,以及死后和生活病例中酒精浓度的相关性。验尸案例(N=166)揭示了有趣的人口统计学模式,年分布有显著变化,国籍,性别,年龄组,职业,吸烟习惯,死亡的地方,和精神病史。生活病例(N=483)表现出不同的人口统计特征,强调年份分布的差异,国籍,性别,年龄组,和吸烟习惯。对BAC分布的分析揭示了死后和生活案例中的不同模式,为每组不同BAC水平的患病率提供有价值的见解。相关分析揭示了死后病例中各种生物样品中酒精浓度之间的强关联,强调血液的相互依存,玻璃体,和尿液酒精浓度。相反,生活病例显示血液和尿液酒精浓度之间呈中度正相关。比较分析显示,死后和活体之间的平均酒精浓度存在显着差异,提示酒精代谢和分布的变化。这些发现强调了在法医和临床环境中解释酒精浓度时考虑时间因素的重要性。总之,这项研究通过描述人口统计概况,增强了我们对酒精相关事件的理解,BAC分布,以及不同生物样本之间的相关性。这些见解对于完善调查和临床方法至关重要,为更广泛的法医学和公共卫生领域做出贡献。
Alcohol use upsurges the risk for many chronic ill-health consequences such as hepatitis, malignancies, and disastrous outcomes like road traffic accidents ending in fatal injuries. Biochemical and toxicological analysis of different body fluids is crucial for identifying the cause of death and postmortem interval in many forensic cases. Blood, urine, and vitreous fluid are the most valuable body fluids for detecting alcohol during any toxicological analysis. Alcohol is responsible for widespread morbidity and mortality worldwide. Blood alcohol concentration (BAC) is a necessary toxicological test to investigate various crime and accident scenes. This study comprehensively explores the demographic characteristics, BAC distribution, and correlations of alcohol concentrations in postmortem and living cases. Postmortem cases (N = 166) reveal intriguing demographic patterns, with notable variations in year distribution, nationality, sex, age groups, occupation, smoking habits, place of death, and psychiatric history. Living cases (N = 483) exhibit distinct demographic profiles, emphasizing differences in year distribution, nationality, sex, age groups, and smoking habits. Analysis of BAC distribution reveals diverse patterns in both postmortem and living cases, providing valuable insights into the prevalence of different BAC levels in each group. Correlation analyses unveil strong associations between alcohol concentrations in various biological samples in postmortem cases, highlighting the interdependence of blood, vitreous, and urine alcohol concentrations. Conversely, living cases display a moderate positive correlation between blood and urine alcohol concentrations. Comparative analyses showcase significant differences in mean alcohol concentrations between postmortem and living cases, suggesting variations in alcohol metabolism and distribution. These findings underscore the importance of considering temporal factors in interpreting alcohol concentrations in forensic and clinical contexts. In conclusion, this study enhances our understanding of alcohol-related incidents by delineating demographic profiles, BAC distributions, and correlations between different biological samples. Such insights are crucial for refining investigative and clinical approaches, contributing to the broader fields of forensic science and public health.