Zeitlinger Barbara S, Zeitlinger Markus, Leitner Irmgard, Müller Markus, Joukhadar Christian
Department of Clinical Pharmacology, Division of Clinical Pharmacokinetics, Medical University of Vienna, Vienna, Austria.
Clin Pharmacokinet. 2007;46(1):75-83. doi: 10.2165/00003088-200746010-00004.
The present study investigated the usefulness of routinely employed scoring systems in predicting tissue penetration of antimicrobials. In addition, a novel, easy to use scoring system was designed for the estimation of tissue penetration of antimicrobials in patients with sepsis.
Tissue pharmacokinetics were assessed in skeletal muscle and subcutaneous adipose tissue by use of the microdialysis technique in 34 patients with sepsis. Tissue penetration of antimicrobials was retrospectively determined by the ratios of the area under the concentration-time curves (AUC) in soft tissues (AUCtissue) to the AUC in plasma (AUCplasma). Mortality and sepsis scores currently used in intensive care were consecutively calculated and correlated with the AUCtissue:AUCplasma ratio. Single laboratory and clinical parameters showing the highest correlation with tissue penetration were identified and used in the novel Tissue Penetration Prediction Score (TPPS).
The currently used scoring systems Simplified Acute Physiology Scores 3 (r=-0.33, p=0.006), Acute Physiology and Chronic Health Evaluation III (r=-0.27, p=0.03) and Sepsis-Related (or Sequential) Organ Failure Assessment (r=-0.32, p=0.01) showed significant overall correlations with tissue penetration. However, their predictive power for the concentrations of antimicrobials in muscle tissue was not satisfying. The parameters oxygen saturation, serum lactate concentration and the dose per time unit of norepinephrine (noradrenaline) administered showed the best correlation with tissue penetration and were used in the TPPS. Its overall correlation (r=-0.52, p=0.000007) as well as correlations for the concentrations of antimicrobials in muscle (r=-0.46, p=0.006) and adipose tissue (r=-0.59, p=0.0003) were better than the currently used scoring systems.
The TPPS may prove to be a powerful tool for the estimation of antimicrobial tissue penetration at the bedside in septic patients. This score may allow for adequate individual dose adjustment in septic patients. However, this needs to be verified in subsequent prospective clinical trials.
本研究调查了常规使用的评分系统在预测抗菌药物组织穿透性方面的实用性。此外,还设计了一种新颖、易于使用的评分系统,用于评估脓毒症患者抗菌药物的组织穿透性。
采用微透析技术,对34例脓毒症患者的骨骼肌和皮下脂肪组织进行组织药代动力学评估。通过软组织浓度-时间曲线下面积(AUCtissue)与血浆中AUC(AUCplasma)的比值,回顾性确定抗菌药物的组织穿透性。连续计算重症监护中目前使用的死亡率和脓毒症评分,并将其与AUCtissue:AUCplasma比值相关联。确定与组织穿透性相关性最高的单个实验室和临床参数,并将其用于新的组织穿透预测评分(TPPS)。
目前使用的评分系统简化急性生理学评分3(r=-0.33,p=0.006)、急性生理学与慢性健康评估III(r=-0.27,p=0.03)和脓毒症相关(或序贯)器官衰竭评估(r=-0.32,p=0.01)与组织穿透性总体呈显著相关性。然而,它们对肌肉组织中抗菌药物浓度的预测能力并不令人满意。氧饱和度、血清乳酸浓度和去甲肾上腺素(去甲肾上腺素)每时间单位剂量等参数与组织穿透性的相关性最佳,并用于TPPS。其总体相关性(r=-0.52,p=0.000007)以及与肌肉中抗菌药物浓度的相关性(r=-0.46,p=0.006)和脂肪组织中的相关性(r=-0.59,p=0.0003)均优于目前使用的评分系统。
TPPS可能被证明是一种在脓毒症患者床边评估抗菌药物组织穿透性的有力工具。该评分可能有助于脓毒症患者进行适当的个体化剂量调整。然而,这需要在后续的前瞻性临床试验中得到验证。