Andes David, Anon Jack, Jacobs Michael R, Craig William A
Department of Medicine, University of Wisconsin, 600 Highland Avenue, Room H4/572, Madison, WI 53792, USA.
Clin Lab Med. 2004 Jun;24(2):477-502. doi: 10.1016/j.cll.2004.03.009.
The pharmacologic field that studies antimicrobial pharmacokinetics and pharmacodynamics (PK/PD) has had a major impact on the choice and dosing regimens used for many antibiotics especially those used in the treatment of respiratory tract infections. PK/PD parameters are particularly important in light of increasing antimicrobial resistance. Drug pharmacokinetic features, such as serum concentrations over time and area under the concentration-time curve, when integrated with minimum inhibitory concentration (MIC) values of antibiotics against pathogens, can predict the probability of bacterial eradication and clinical success. These pharmacokinetic and pharmacodynamic relationships also are important in preventing the selection and spread of resistant strains and have led to the description of the mutation prevention concentration, which is the lowest concentration of antimicrobial that prevents selection of resistant bacteria from high bacterial inocula. b-lactams are time-dependent agents without significant post-antibiotic effects, resulting in bacterial eradication when unbound serum concentrations exceed MICs of these agents against infecting pathogens for >40% to 50% of the dosing interval. Macrolides, azaolides, and lincosamides are time-dependent agents with prolonged post-antibiotic effects, and fluoroquinolones are concentration-dependent agents, resulting in both cases in bacterial eradication when unbound serum area-under-the-curve to MIC ratios exceed 25 to 30. These observations have led to changes in recommended antimicrobial dosing against respiratory pathogens and are used to assess the role of current agents, develop new formulations, and assess potency of new antimicrobials.
研究抗菌药物药代动力学和药效学(PK/PD)的药理学领域,对许多抗生素尤其是用于治疗呼吸道感染的抗生素的选择和给药方案产生了重大影响。鉴于抗菌药物耐药性不断增加,PK/PD参数尤为重要。药物的药代动力学特征,如血清浓度随时间的变化以及浓度-时间曲线下面积,与抗生素对病原体的最低抑菌浓度(MIC)值相结合时,可预测细菌清除的可能性和临床疗效。这些药代动力学和药效学关系在防止耐药菌株的选择和传播方面也很重要,并导致了预防突变浓度的描述,即防止从高细菌接种量中选择耐药菌的最低抗菌药物浓度。β-内酰胺类是时间依赖性药物,没有明显的抗生素后效应,当游离血清浓度在给药间隔的>40%至50%时间内超过这些药物对感染病原体的MIC时,可实现细菌清除。大环内酯类、氮杂内酯类和林可酰胺类是具有延长抗生素后效应的时间依赖性药物,氟喹诺酮类是浓度依赖性药物,在这两种情况下,当游离血清曲线下面积与MIC之比超过25至30时,均可实现细菌清除。这些观察结果导致了针对呼吸道病原体的推荐抗菌药物给药方案的改变,并用于评估现有药物的作用、开发新剂型以及评估新抗菌药物的效力。