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头孢吡肟治疗铜绿假单胞菌感染患者的临床药效动力学。

Clinical pharmacodynamics of cefepime in patients infected with Pseudomonas aeruginosa.

机构信息

Center for Anti-Infective Research and Development, Hartford, CT 06102, USA.

出版信息

Antimicrob Agents Chemother. 2010 Mar;54(3):1111-6. doi: 10.1128/AAC.01183-09. Epub 2009 Dec 28.

Abstract

We evaluated cefepime exposures in patients infected with Pseudomonas aeruginosa to identify the pharmacodynamic relationship predictive of microbiological response. Patients with non-urinary tract P. aeruginosa infections and treated with cefepime were included. Free cefepime exposures were estimated by using a validated population pharmacokinetic model. P. aeruginosa MICs were determined by Etest and pharmacodynamic indices (the percentage of the dosing interval that the free drug concentration remains above the MIC of the infecting organism [fT > MIC], the ratio of the minimum concentration of free drug to the MIC [fC(min)/MIC], and the ratio of the area under the concentration-time curve for free drug to the MIC [fAUC/MIC]) were calculated for each patient. Classification and regression tree analysis was used to partition the pharmacodynamic parameters for prediction of the microbiological response. Monte Carlo simulation was utilized to determine the optimal dosing regimens needed to achieve the pharmacodynamic target. Fifty-six patients with pneumonia (66.1%), skin and skin structure infections (SSSIs) (25%), and bacteremia (8.9%) were included. Twenty-four (42.9%) patients failed cefepime therapy. The MICs ranged from 0.75 to 96 microg/ml, resulting in median fT > MIC, fC(m)(in)/MIC, and fAUC/MIC exposures of 100% (range, 0.8 to 100%), 4.3 (range, 0.1 to 27.3), and 206.2 (range, 4.2 to 1,028.7), respectively. Microbiological failure was associated with an fT > MIC of < or =60% (77.8% failed cefepime therapy when fT > MIC was < or =60%, whereas 36.2% failed cefepime therapy when fT > MIC was >60%; P = 0.013). A similar fT > MIC target of < or =63.9% (P = 0.009) was identified when skin and skin structure infections were excluded. While controlling for the SSSI source (odds ratio [OR], 0.18 [95% confidence interval, 0.03 to 1.19]; P = 0.07) and combination therapy (OR, 2.15 [95% confidence interval, 0.59 to 7.88]; P = 0.25), patients with fT > MIC values of < or =60% were 8.1 times (95% confidence interval, 1.2 to 55.6 times) more likely to experience a poor microbiological response. Cefepime doses of at least 2 g every 8 h are required to achieve this target against CLSI-defined susceptible P. aeruginosa organisms in patients with normal renal function. In patients with non-urinary tract infections caused by P. aeruginosa, achievement of cefepime exposures of >60% fT > MIC will minimize the possibility of a poor microbiological response.

摘要

我们评估了感染铜绿假单胞菌的患者的头孢吡肟暴露情况,以确定预测微生物学反应的药效学关系。包括患有非尿路铜绿假单胞菌感染且接受头孢吡肟治疗的患者。通过验证的群体药代动力学模型来估计游离头孢吡肟的暴露情况。通过 Etest 测定铜绿假单胞菌 MIC,并计算每个患者的药效学指标(游离药物浓度在 MIC 以上的给药间隔的百分比 [fT > MIC]、游离药物最小浓度与 MIC 的比值 [fC(min)/MIC]和游离药物浓度-时间曲线下面积与 MIC 的比值 [fAUC/MIC])。使用分类和回归树分析将药效学参数进行分区,以预测微生物学反应。利用蒙特卡罗模拟确定实现药效学目标所需的最佳给药方案。共纳入 56 例患有肺炎(66.1%)、皮肤和皮肤结构感染(SSSIs)(25%)和菌血症(8.9%)的患者。24 例(42.9%)患者头孢吡肟治疗失败。MIC 范围为 0.75 至 96μg/ml,导致中位 fT > MIC、fC(min)/MIC 和 fAUC/MIC 暴露分别为 100%(范围为 0.8 至 100%)、4.3(范围为 0.1 至 27.3)和 206.2(范围为 4.2 至 1028.7)。微生物学失败与 fT > MIC <或=60%有关(当 fT > MIC <或=60%时,77.8%的患者头孢吡肟治疗失败,而当 fT > MIC >60%时,36.2%的患者头孢吡肟治疗失败;P=0.013)。当排除 SSSI 来源时,发现 fT > MIC <或=63.9%(P=0.009)是一个相似的目标。在控制 SSSI 来源(比值比 [OR],0.18 [95%置信区间,0.03 至 1.19];P=0.07)和联合治疗(OR,2.15 [95%置信区间,0.59 至 7.88];P=0.25)的情况下,fT > MIC 值 <或=60%的患者发生不良微生物学反应的可能性高 8.1 倍(95%置信区间,1.2 至 55.6 倍)。肾功能正常的患者,需要至少每 8 小时给予 2g 的头孢吡肟剂量,才能达到 CLSI 定义的对敏感铜绿假单胞菌的目标暴露量。对于由铜绿假单胞菌引起的非尿路感染患者,实现 fT > MIC >60%的头孢吡肟暴露量将最大限度地降低不良微生物学反应的可能性。

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