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Medical device SALs and surgical site infections: A mathematical model

机译:医疗设备SALes和手术部位感染:数学模型

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It is commonly accepted that terminally sterilized healthcare products are rarely the source of a hospital-acquired infection (HAI). The vast majority of HAIs arise from human-borne contamination from the workforce, the clinical environment, less-than-aseptic handling techniques, and the patients themselves. Nonetheless, the requirement for a maximal sterility assurance level (SAL) of a terminally sterilized product has remained at 10 -6, which is the probability of one in one million that a single viable microorganism will be on a product after sterilization. This paper presents a probabilistic model that predicts choosing an SAL greater than 10 -6 (e.g. 10 -5 or 10 -4, and in some examples even 10 -3 or 10 -2) does not have a statistically significant impact on the incidence of surgical site infections (SSIs). The use of a greater SAL might allow new, potentially life-saving products that cannot withstand sterilization to achieve a 10 -6 SAL to be terminally sterilized instead of being aseptically manufactured.
机译:公认的是,最终灭菌的保健产品很少是医院获得性感染(HAI)的来源。绝大多数HAIs是由于劳动力,临床环境,低于无菌的处理技术以及患者自身引起的人为污染。但是,最终灭菌产品的最大无菌保证水平(SAL)的要求一直保持在10 -6,这是灭菌后产品上存在一种活微生物的概率为百万分之一。本文提出了一种概率模型,该模型预测选择大于10 -6的SAL(例如10 -5或10 -4,在某些示例中甚至10 -3或10 -2)对SAL的发生率没有统计学上的显着影响。手术部位感染(SSI)。使用更大的SAL可能会使不能承受灭菌以达到10 -6 SAL的新的,可能挽救生命的产品最终灭菌而不是进行无菌生产。

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