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毒蕈碱中毒治疗决策:使用多维多元统计分析的药物治疗临床策略评估。

Amatoxin poisoning treatment decision-making: pharmaco-therapeutic clinical strategy assessment using multidimensional multivariate statistic analysis.

机构信息

Laboratoire de Pharmacologie et Physiopathologie Expérimentale, UMR 95 Qualisud, Faculté de Pharmacie, Université Montpellier I, 15 Avenue Charles Flahault, F-34093 Montpellier Cedex 5, France.

出版信息

Toxicon. 2010 Jun 15;55(7):1338-45. doi: 10.1016/j.toxicon.2010.02.005. Epub 2010 Feb 10.

Abstract

Ninety percent of fatal higher fungus poisoning is due to amatoxin-containing mushroom species. In addition to absence of antidote, no chemotherapeutic consensus was reported. The aim of the present study is to perform a retrospective multidimensional multivariate statistic analysis of 2110 amatoxin poisoning clinical cases, in order to optimize therapeutic decision-making. Our results allowed to classify drugs as a function of their influence on one major parameter: patient survival. Active principles were classified as first intention, second intention, adjuvant or controversial pharmaco-therapeutic clinical intervention. We conclude that (1) retrospective multidimensional multivariate statistic analysis of complex clinical dataset might help future therapeutic decision-making and (2) drugs such as silybin, N-acetylcystein and putatively ceftazidime are clearly associated, in amatoxin poisoning context, with higher level of patient survival.

摘要

百分之九十的致命性高等真菌中毒是由于含有鹅膏蕈碱的蘑菇物种引起的。除了没有解毒剂外,目前也没有报道任何化疗共识。本研究的目的是对 2110 例鹅膏蕈碱中毒临床病例进行回顾性多维多元统计分析,以优化治疗决策。我们的结果允许根据药物对一个主要参数的影响将药物分类:患者的生存。活性成分被分为一线、二线、辅助或有争议的药物治疗临床干预。我们得出结论:(1)对复杂临床数据集进行回顾性多维多元统计分析可能有助于未来的治疗决策;(2)在鹅膏蕈碱中毒的情况下,水飞蓟素、N-乙酰半胱氨酸和可能的头孢他啶等药物显然与更高水平的患者生存相关。

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