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ALGORITHM FOR ESTIMATING THE OUTCOME OF INFLAMMATION FOLLOWING INJURY OR INFECTION

机译:估计伤害或感染后炎症结果的算法

摘要

A mathematical prognostic in which changes in a number of physiologically significant factors are measured and interpolated to determine a "damage function" incident to bacterial infection or other serious inflammation. By measuring a large number of physiologically significant factors including, but not limited to, Interleukin 6 (IL6), Interleukin 10 (IL10), Nitric Oxide (NO), and others, it is possible to predict life versus death by the damage function, dD/dt, which measures and interpolates differential data for a plurality of factors. In mammals, an IL6/NO ratio 8 at 12 hours post infection is highly predictive (60%) of mortality; also in mammals, an IL6/NO ratio 4 at 24 hours post infection is highly predictive (52%) of mortality; and an IL6/IL10 ratio in mammals of 7.5 at 24 hours post infection is highly predictive (68%) of mortality.
机译:在数学上的预后中,对许多生理学重要因素的变化进行测量并进行内插以确定与细菌感染或其他严重炎症有关的“损伤功能”。通过测量大量生理上重要的因素,包括但不限于白细胞介素6(IL6),白细胞介素10(IL10),一氧化氮(NO)等,可以通过损伤功能预测生与死, dD / dt,用于测量和内插多个因素的差分数据。在哺乳动物中,感染后12小时IL6 / NO比<8可以高度预测死亡率(60%)。同样在哺乳动物中,感染后24小时IL6 / NO比率<4可以高度预测死亡率(52%);在感染后24小时内,哺乳动物中IL6 / IL10的比率<7.5可以高度预测死亡率(68%)。

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