Soy Dolors, Torres Antoni
Pharmacy Service (UASP), Hospital Clinic Barcelona, IDIBAPS, Universitat de Barcelona, Spain.
Curr Opin Crit Care. 2006 Oct;12(5):477-82. doi: 10.1097/01.ccx.0000244130.77365.c2.
Selection of the best antibiotic dosage regimen in intensive-care-unit patients is a critical factor for decreasing morbidity and mortality rates. The integration of pharmacokinetics and pharmacodynamics is essential to establishing an adequate therapy. Many studies on this issue have been published in recent years due to its relevance, some of which are commented upon in this review.
Several studies have shown that it is feasible to theoretically forecast pharmacodynamic outcomes and select the most adequate antibiotic therapy with Monte Carlo simulations. Moreover, new strategies such as the use of continuous or extended intravenous beta-lactam infusions may considerably improve therapeutic efficacy.
Future studies are needed in patients to assess the influence of selecting antibiotic therapy based on the impact of pharmacokinetic/pharmacodynamic on mortality, morbidity, cost, etc. It would be of special interest to evaluate this impact on patients with infections caused by multiresistant pathogens, whose mortality rates are even higher. Moreover, although studies such as this would not be easy, mainly due to the large number of patients required to obtain statistically significant results, they should be strongly encouraged because of the possible clinical and economic benefits.
在重症监护病房患者中选择最佳抗生素给药方案是降低发病率和死亡率的关键因素。药代动力学和药效学的整合对于确立适当的治疗方法至关重要。由于其相关性,近年来已发表了许多关于这个问题的研究,本综述对其中一些研究进行了评论。
多项研究表明,通过蒙特卡洛模拟从理论上预测药效学结果并选择最适当的抗生素治疗是可行的。此外,诸如持续或延长静脉输注β-内酰胺类药物等新策略可能会显著提高治疗效果。
未来需要对患者进行研究,以评估基于药代动力学/药效学影响选择抗生素治疗对死亡率、发病率、成本等的影响。评估这种影响对由多重耐药病原体引起感染的患者的影响将特别有意义,这类患者的死亡率更高。此外,尽管进行此类研究并不容易,主要是因为需要大量患者才能获得具有统计学意义的结果,但鉴于可能的临床和经济效益,仍应大力鼓励开展此类研究。