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CCLM：在脓毒症患者中评估新预后评分系统的一项回顾性队列研究

2018-07-05 MedSci MedSci原创

脓毒症患者
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炎症和血栓形成与败血症的发生和进展相关。本研究基于一种炎症和血栓生物标志物的新型血栓-炎症预后评分（TIPS）评估其预测急诊（ED）败血症患者的不良结果的能力。 这是一项关于败血症患者的回顾性队列研究。TIPS（范围：0-2）可预测不良后果。进行多变量逻辑回归分析以研究TIPS与28天不良结果之间的关联。研究的终点是死亡率，机械通气（MV），意识障碍（CD）和重症监护室（AICU）的入院。

炎症和血栓形成与败血症的发生和进展相关。本研究基于一种炎症和血栓生物标志物的新型血栓-炎症预后评分（TIPS）评估其预测急诊（ED）败血症患者的不良结果的能力。

这是一项关于败血症患者的回顾性队列研究。TIPS（范围：0-2）可预测不良后果。进行多变量逻辑回归分析以研究TIPS与28天不良结果之间的关联。研究的终点是死亡率，机械通气（MV），意识障碍（CD）和重症监护室（AICU）的入院。

研究总共招募了821名败血症患者; 173名患者在28天的随访期内死亡。用降钙素原和D-二聚体值计算TIPS，因为它们在通过接受者操作特征曲线预测28天死亡率方面具有最佳性能。TIPS较高的患者28天死亡率和MV，CD和AICU的发生率显着较高。多变量逻辑回归分析表明TIPS是28天死亡率，MV和AICU的独立预测因子。TIPS表现优于其他预后评分，包括快速序贯器官衰竭评估，改良预警评分和急诊科脓毒症死亡率预测28天死亡率，与急性生理学和慢性健康评估II类似，但不如序贯器官衰竭评估方法。

研究表明TIPS可用于对入院后不久脓毒症患者的不良临床结果风险进行分层。

原始出处：

Kavsak, Peter A. Malinowski, Paul Roy, Assessing matrix, interferences and comparability between the Abbott Diagnostics and the Beckman Coulter high-sensitivity cardiac troponin I assays

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    2018-07-07 dlwang_26703130

    #脓毒症患者#

    0

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    2018-07-05 Y—xianghai

    学习了长知识

    0

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    2018-07-05 Y—xianghai

    学习了长知识

    0

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    2018-07-05 Y—xianghai

    学习了长知识

    0

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    2018-07-05 Y—xianghai

    学习了长知识

    0

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    2018-07-05 Y—xianghai

    学习了长知识

    0

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    2018-07-05 Y—xianghai

    学习了长知识

    0

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    2018-07-05 Y—xianghai

    学习了长知识

    0