摘要
常见病原微生物对抗微生物药物的耐药性正逐渐增加,而且研究证实耐药性能够通过质粒介导由1种病原微生物转移到另1种病原微生物,这更引起了国内外学者的广泛关注。为达到最佳治疗目的及降低耐药性的发生,临床用药必须根据药动学(PK)与药效学(PD)原理制定最佳给药方案。蒙特卡洛模拟是1种基于"随机数"的计算方法,该法既考虑了不同患者对同一药物处置过程的差异,又考虑了同1种病原菌的不同菌株对同一药物敏感性的差异,因此应用该法能够制定出更合理的给药方案。本文就蒙特卡洛模拟及其在抗微生物药物给药方案优化中的应用作一综述。
The increasing antimicrobial resistance of common pathogens has led to a growing concem both at home and abroad. Moreover, it was shown that the resistance could be transferred from a pathogenic microorganism to another one through the mediation of plasmid. The selection of antimicrobial dosing regimens which could not only obtain the best clinical outcome but also prevent the emergence of a resistant pathogen subpopulation in terms of their phannacokinetic （PK） and pharmacodynamic （PD） principles is becoming very important. Monte Carlo simulation is a term applied to numerous methods with a built-in random process. It involves combining the variability of antimicrobial drug exposure with the variability in pathogen susceptibility according to their distribution. A brief review of literature on the theory of Monte Carlo simulation and the application of this method in optimization of antimicrobial dosage regiments was provided.
出处
《抗感染药学》
2010年第1期15-18,共4页
Anti-infection Pharmacy
