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静脉注射环丙沙星在重症患者中的药效学

Pharmacodynamics of intravenous ciprofloxacin in seriously ill patients.

作者信息

Forrest A, Nix D E, Ballow C H, Goss T F, Birmingham M C, Schentag J J

机构信息

Center for Clinical Pharmacy Research, School of Pharmacy, State University of New York, Buffalo 14260.

出版信息

Antimicrob Agents Chemother. 1993 May;37(5):1073-81. doi: 10.1128/AAC.37.5.1073.

Abstract

Seventy-four acutely ill patients were treated with intravenous ciprofloxacin at dosages ranging between 200 mg every 12 h and 400 mg every 8 h. A population pharmacokinetic-pharmacodynamic analysis relating drug exposure (and other factors) to infectious outcome was performed. Plasma samples were obtained and assayed for ciprofloxacin by high-performance liquid chromatography. Samples from patients were frequently cultured so that the day of bacterial eradication could be determined. The pharmacokinetic data were fitted by iterative two-stage analysis, assuming a linear two-compartment model. Logistic regression was used to model ciprofloxacin exposure (and other potential covariates) versus the probabilities of achieving clinical and microbiologic cures. The same variables were also modelled versus the time to bacterial eradication by proportional hazards regression. The independent variables considered were dose, site of infection, infecting organism and the MIC for it, percent time above the MIC, peak, peak/MIC ratio, trough, trough/MIC ratio, 24-h area under the concentration-time curve (AUC), AUC/MIC ratio (AUIC), presence of other active antibacterial agents, and patient characteristics. The most important predictor for all three measures of ciprofloxacin pharmacodynamics was the AUIC. A 24-h AUIC of 125 SIT-1.h (inverse serum inhibitory titer integrated over time) was found to be a significant breakpoint for probabilities of both clinical and microbiologic cures. At an AUIC below 125 (19 patients), the percent probabilities of clinical and microbiologic cures were 42 and 26%, respectively. At an AUIC above 125 (45 patients), the probabilities were 80% (P < 0.005) and 82% (P < 0.001), respectively. There were two significant breakpoints in the time-to-bacterial-eradication data. At an AUIC below 125 (21 patients), the median time to eradication exceeded 32 days; at an AUIC of 125 to 250 (15 patients), time to eradication was 6.6 days: and at AUIC above 250 (28 patients), the median time to eradication was 1.9 days (groups differed; P < 0.005). These findings, when combined with pharmacokinetic data reported in the companion article, provide the rationale and tools needed for targeting the dosage of intravenous ciprofloxacin to individual patients' pharmacokinetics and their bacterial pathogens' susceptibilities. An a priori dosing algorithm (based on MIC, patient creatine clearance and weight, and the clinician-specified AUIC target) was developed. This approach was shown, retrospectively, to be more precise than current guidelines, and it can be used to achieve more rapid bacteriologic and clinical responses to ciprofloxacin, as a consequence of targeting the AUIC.

摘要

74例急性病患者接受了静脉注射环丙沙星治疗,剂量范围为每12小时200毫克至每8小时400毫克。进行了一项群体药代动力学 - 药效学分析,将药物暴露(及其他因素)与感染结局相关联。采集血浆样本,采用高效液相色谱法测定环丙沙星含量。经常对患者样本进行培养,以便确定细菌清除的日期。药代动力学数据通过迭代两阶段分析进行拟合,假定为线性二室模型。采用逻辑回归对环丙沙星暴露(及其他潜在协变量)与实现临床和微生物学治愈的概率进行建模。同样的变量也通过比例风险回归对细菌清除时间进行建模。所考虑的自变量包括剂量、感染部位、感染病原体及其最低抑菌浓度(MIC)、高于MIC的时间百分比、峰值、峰/MIC比值、谷值、谷/MIC比值、浓度 - 时间曲线下24小时面积(AUC)、AUC/MIC比值(AUIC)、其他活性抗菌药物的存在情况以及患者特征。环丙沙星药效学所有三项指标的最重要预测因素是AUIC。发现24小时AUIC为125 SIT - 1.h(随时间积分的血清抑制效价倒数)是临床和微生物学治愈概率的一个显著断点。在AUIC低于125时(19例患者),临床和微生物学治愈的百分比概率分别为42%和26%。在AUIC高于125时(45例患者),概率分别为80%(P < 0.005)和82%(P < 0.001)。在细菌清除时间数据中有两个显著断点。在AUIC低于125时(21例患者),清除的中位时间超过32天;在AUIC为125至250时(15例患者),清除时间为6.6天;在AUIC高于250时(28例患者),清除的中位时间为1.9天(各组有差异;P < 0.005)。这些发现与配套文章中报告的药代动力学数据相结合,为根据个体患者的药代动力学及其细菌病原体的敏感性来确定静脉注射环丙沙星的剂量提供了理论依据和所需工具。开发了一种先验给药算法(基于MIC、患者肌酐清除率和体重以及临床医生指定的AUIC目标)。回顾性研究表明,这种方法比当前指南更精确,并且由于以AUIC为目标,可用于实现对环丙沙星更快速的细菌学和临床反应。

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