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Comparison of analytical and theoretical pharmaceutical concentrations in human urine in Germany

机译:德国人尿中分析和理论药物浓度的比较

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摘要

Urine is considered as a valuable plant fertiliser due to its high nutrient content. However, urine also contains pharmaceuticals. Currently, little is known regarding expected pharmaceutical concentrations in urine and the resulting risks. Through series of analyses in Hamburg and Berlin and results from the development of a concentration prediction model this knowledge gap was intended to be filled. To which extent the theoretical calculations can substitute analyses of pharmaceuticals was also tested. Results showed that the model fits well for bezafibrate, carbamazepine, diclofenac, ibuprofen, phenazone, and pentoxifylline. In Hamburg an R~2 value of 0.98 and in Berlin of 0.90 was achieved for correlations between predicted and analysed concentrations. Additionally, it was shown that a sufficient number of people discharging their urine to the respective collection system are important to allow for reasonable predictions via calculation. Also, comparisons of predicted pharmaceutical concentrations to those determined in other projects showed good correlations. Overall, it can be concluded that in any case the calculated concentrations exceed the measured ones and are therefore conservative. This overestimation can be explained by several factors discussed in this article.
机译:尿由于其高养分含量而被认为是有价值的植物肥料。但是,尿液中也含有药物。目前,关于尿液中的预期药物浓度以及由此产生的风险知之甚少。通过在汉堡和柏林进行的一系列分析以及浓度预测模型的开发结果,可以弥补这一知识空白。还测试了理论计算可以替代药物分析的程度。结果表明该模型非常适合苯扎贝特,卡马西平,双氯芬酸,布洛芬,非那酮和己酮可可碱。汉堡的R〜2值为0.98,柏林的0.92为预测和分析浓度之间的相关性。另外,已经表明,足够多的人将其尿液排至各自的收集系统对于通过计算进行合理的预测很重要。同样,将预测药物浓度与其他项目中确定的药物浓度进行比较也显示出良好的相关性。总的来说,可以得出结论,在任何情况下,计算出的浓度都超过了测得的浓度,因此是保守的。可以通过本文讨论的几个因素来解释这种高估。

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