首页> 外文期刊>Diagnostic microbiology and infectious disease >Pharmacokinetic/pharmacodynamic modeling can help guide targeted antimicrobial therapy for nosocomial gram-negative infections in critically ill patients.
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Pharmacokinetic/pharmacodynamic modeling can help guide targeted antimicrobial therapy for nosocomial gram-negative infections in critically ill patients.

机译:药代动力学/药效学建模可以帮助指导针对危重患者医院革兰氏阴性感染的靶向抗菌治疗。

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摘要

Critically ill patients have altered pharmacokinetics (PK) that need to be considered when choosing and dosing antibiotics. We conducted a prospective, observational study to assess clinical and microbiologic response rates in 19 critically ill patients with nosocomial Gram-negative infections. Antibiotics were dosed based on a mathematical pharmacodynamic (PD) model accounting for these altered kinetic parameters. The average APACHE II score +/- SE on intensive care unit admission and at the time of infection was 13.6 +/- 1.2 and 14.6 +/- 1.1, respectively. With targeted antimicrobial therapy adjusted to achieve an optimal PD profile, 17/19 (89%) patients had a clinical cure or improvement and 16/19 (84%) had either microbiologic eradication or presumed eradication. Modeling PD in these critically ill patients resulted in good clinical and microbiologic outcomes.
机译:重症患者的药代动力学(PK)发生变化,因此在选择和给药抗生素时应予以考虑。我们进行了一项前瞻性观察性研究,以评估19例院内革兰氏阴性感染危重患者的临床和微生物反应率。抗生素是根据数学药效学(PD)模型确定的,这些模型考虑了这些变化的动力学参数。重症监护病房入院时和感染时的平均APACHE II分数+/- SE分别为13.6 +/- 1.2和14.6 +/- 1.1。通过针对性的抗微生物治疗进行调整以达到最佳的PD分布,有17/19(89%)的患者可以治愈或改善临床症状,而16/19(84%)的患者可以根除微生物或假定根除。在这些重症患者中对PD进行建模可产生良好的临床和微生物学结果。

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