法医尸检的统计研究

IF 0.1 Q4 STATISTICS & PROBABILITY
E. M. Pérez
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引用次数: 0

摘要

本文的目的:在本文中,我们分析了临床变量之间的关系:死者的年龄、性别、感兴趣的病理史;法医学:死亡的最初原因、直接原因、死亡原因和法医学死因,以及组织学或解剖学:炭疽病、动脉硬化、充血、脂肪变性、水肿、肺气肿、硬化、出血、炎症,从大流行时期没有新冠肺炎患者中随机选择的法医尸检研究中的坏死和其他偶然或偶然发现。设计/方法/方法:为了分析不同变量之间的关系,使用了参数和非参数技术:t-学生、方差分析、偶然系数和Kruskal-Wallis。结果:这些变量之间的关系非常显著(p值<0.05):性别年龄(0.005)、性别病理史(0.000)、性别直接死因(0.037)、病理史初始死因(0.036)、病理学史法医学病因(0.043)、初始死因直接死因(0.000,直接死亡原因死亡来源(0.000)。研究局限性/影响:我们打算在未来扩大这项研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
STATISTICAL STUDY OF MEDICOLEGAL AUTOPSIAS
Purpose of this paper: In this article we have analyzed the relationship among clinical variables: age, sex, pathological history of interest of the deceased;medicolegal: initial cause of death, immediate cause of death, origin of death and medicolegal etiology of death, and histological or anatomopathological: anthracosis, arteriosclerosis, congestion, fatty degeneration, edema, emphysema, sclerosis, hemorrhage, inflammation, necrosis and other casual or incidental findings from the study of medicolegal autopsies chosen at random from no Covid-19 victims in pandemic times. Design/methodology/approach: For the analysis of the relationships among the different variables, parametric and non-parametric techniques have been used: t-Student, ANOVA, contingency coefficient and Kruskal-Wallis. Findings: The relationship among these variables has been significant (p-value <= 0.05): Sex-age (0.005), Sex-pathological history (0.000), Sex-immediate cause of death (0.037), Pathological history-initial cause of death (0.036), Pathological history-medicolegal etiology (0.043), Initial cause of death-immediate cause of death (0.000) and Initial cause of death-origin of death (0.000), Immediate cause of death-origin of death (0.000). Research limitations/implications: We intend to expand the study in the future.
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来源期刊
JP Journal of Biostatistics
JP Journal of Biostatistics STATISTICS & PROBABILITY-
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发文量
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