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药代动力学、药效学及计算机化数据库在控制细菌耐药性方面的潜在作用。

Potential role of pharmacokinetics, pharmacodynamics, and computerized databases in controlling bacterial resistance.

作者信息

Hyatt J M, Schentag J J

机构信息

The Clinical Pharmacokinetics Laboratory, Millard Fillmore Health System, Buffalo, New York 14209, USA.

出版信息

Infect Control Hosp Epidemiol. 2000 Jan;21(1 Suppl):S18-21. doi: 10.1086/503169.

Abstract

Bacterial resistance to antibiotics continues to be a problem, in spite of increased knowledge of resistance mechanisms. Due to the multifactorial nature of bacterial resistance, studies that evaluate the association between antimicrobial exposure and emergence of resistance may fail to find a relationship unless other factors, in particular the association between patient-pathogen pharmacokinetics (PK) and pharmacodynamics (PD) and the emergence of bacterial resistance, are evaluated as well. It has been hypothesized that, in conjunction with good infection control practices, cycling of antimicrobial agents may prove to be effective in reducing resistance emergence. There is some indication that there may be a relationship between the level of antibiotic exposure and the probability of emergence of bacterial resistance. As shown in our companion article in this supplement, factors associated with ciprofloxacin resistance in Pseudomonas aeruginosa included increased length of stay prior to isolation, exposure to ciprofloxacin, and respiratory tract site of bacterial isolation. However, in patients who received ciprofloxacin therapy, when exposure was at an area under the 24-hour inhibitory concentration curve (AUIC24)>110 (microg x h/mL)/microg/mL, resistance was decreased to 11%, a rate similar to that seen in respiratory isolates not exposed to ciprofloxacin (7%). While the length of time the patient spends in the hospital and the site of infection cannot be controlled, by using PK and PD principles for dosing of ciprofloxacin, the emergence of ciprofloxacin resistance in P aeruginosa may be reduced. Prospective antibiotic-cycling studies may help to determine not only the impact of antibiotic cycling on the institution's antibiogram but also, through the use of PK and PD principles, may help to determine appropriate dosing schedules for antibiotics in order to reduce the probability of emergence of bacterial resistance.

摘要

尽管对抗菌机制的了解有所增加,但细菌对抗生素的耐药性仍然是一个问题。由于细菌耐药性具有多因素性质,评估抗菌药物暴露与耐药性出现之间关联的研究可能无法发现两者之间的关系,除非同时评估其他因素,特别是患者-病原体药代动力学(PK)和药效学(PD)与细菌耐药性出现之间的关联。据推测,结合良好的感染控制措施,抗菌药物轮换可能被证明对减少耐药性的出现有效。有迹象表明,抗生素暴露水平与细菌耐药性出现的可能性之间可能存在关联。正如本增刊中我们的配套文章所示,与铜绿假单胞菌对环丙沙星耐药相关的因素包括分离前住院时间延长、接触环丙沙星以及细菌分离的呼吸道部位。然而,在接受环丙沙星治疗的患者中,当暴露量达到24小时抑菌浓度曲线下面积(AUIC24)>110(μg×h/mL)/μg/mL时,耐药率降至11%,这一比率与未接触环丙沙星的呼吸道分离株的耐药率(7%)相似。虽然患者在医院的住院时间和感染部位无法控制,但通过运用环丙沙星给药的PK和PD原则,可降低铜绿假单胞菌对环丙沙星耐药性的出现。前瞻性的抗生素轮换研究不仅有助于确定抗生素轮换对机构抗菌谱的影响,还可通过运用PK和PD原则,有助于确定合适的抗生素给药方案,以降低细菌耐药性出现的可能性。

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