Zamri Puteri Juanita, Lim Sazlyna Mohd Sazlly, Sime Fekade Bruck, Roberts Jason A, Abdul-Aziz Mohd Hafiz
The University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Department of Pharmacy, Hospital Selayang, Ministry of Health Malaysia, Selangor, Malaysia.
Clin Pharmacokinet. 2025 May;64(5):655-689. doi: 10.1007/s40262-025-01488-2. Epub 2025 Apr 17.
The pharmacokinetics of polymyxins are highly variable and conventional dosing regimens may likely lead to sub-optimal exposures and outcomes, particularly in critically ill patients with multi-drug-resistant infections. The aim of this systematic review is to describe the published pharmacokinetic data and to investigate variables that have been shown to affect the pharmacokinetics of colistimethate sodium, colistin, and polymyxin B in adult populations.
Sixty studies were identified. A total of 27 and 33 studies described the pharmacokinetics of colistin and polymyxin B, respectively.
The most common dosing regimen for colistimethate sodium was a loading dose of 9 MIU, followed by 9 MIU/day in two to three divided doses, while for polymyxin B, a loading dose of 100-200 mg, followed by 50-100 mg every 12 h was given. Studies that used colistin sulfate instead of colistimethate sodium reported lower inter-individual variability, which may be attributed to the formulation of colistin sulfate being an active drug. The volume of distribution for colistin is typically lower in healthy individuals than in critically ill patients, owing to variations in physiological and pathological conditions. The clearance of colistimethate sodium in critically ill patients not undergoing dialysis was higher, around 13 L/h, compared with those receiving continuous renal replacement therapy, where clearance ranged from 2.31 to 8.23 L/h. In patients receiving continuous renal replacement therapy, clearance of colistin was higher compared with colistimethate sodium (2.06-6.63 L/h and 1.57-3.85 L/h, respectively). Colistin protein binding in critically ill patients ranged from 51% to 79%. The volume of distribution of polymyxin B was similar between critically ill and acutely ill patients, with range of 6.3-33.1 L and 6.22-38.6 L, respectively. Clearance of polymyxin B was also almost similar between critically ill and acutely ill patients (range of 1.27-2.32 L/h). There were two studies that reported free drug concentrations instead of the total drug concentrations of polymyxin B. In critically ill patients, protein binding ranged from 48.8% to 92.4% for polymyxin B. Creatinine clearance was the most common patient characteristic associated with altered clearance of colistimethate sodium and/or colistin, and polymyxin B.
Critically ill patients exhibit complex pharmacokinetics for colistin and polymyxin B, influenced by renal function, body weight, and clinical factors such as acute kidney injury, augmented renal clearance, serum albumin, and liver function. These factors necessitate individualized dosing adjustments to avoid toxicity and achieve therapeutic efficacy. Model-informed precision dosing provides a promising approach to optimize their use by integrating population pharmacokinetic parameters, patient-specific variables, and therapeutic drug monitoring, ensuring a balance between efficacy, safety, and resistance prevention.
多黏菌素的药代动力学具有高度变异性,传统给药方案可能导致暴露量和治疗效果欠佳,尤其是在患有多重耐药感染的重症患者中。本系统评价的目的是描述已发表的药代动力学数据,并研究已证实影响成人人群中多黏菌素甲磺酸钠、多黏菌素和多黏菌素B药代动力学的变量。
共检索到60项研究。分别有27项和33项研究描述了多黏菌素和多黏菌素B的药代动力学。
多黏菌素甲磺酸钠最常用的给药方案是负荷剂量9 MIU,随后每日9 MIU,分2至3次给药;而多黏菌素B的给药方案是负荷剂量100 - 200 mg,随后每12小时50 - 100 mg。使用硫酸多黏菌素而非多黏菌素甲磺酸钠的研究报告个体间变异性较低,这可能归因于硫酸多黏菌素的制剂为活性药物。由于生理和病理状况的差异,健康个体中多黏菌素的分布容积通常低于重症患者。未接受透析的重症患者中多黏菌素甲磺酸钠的清除率较高,约为13 L/h,而接受持续肾脏替代治疗的患者清除率范围为2.31至8.23 L/h。在接受持续肾脏替代治疗的患者中,多黏菌素的清除率高于多黏菌素甲磺酸钠(分别为2.06 - 6.63 L/h和1.57 - 3.85 L/h)。重症患者中多黏菌素的蛋白结合率为51%至79%不等。重症患者和急性病患者中多黏菌素B的分布容积相似,分别为6.3 - 33.1 L和6.22 - 38.6 L。重症患者和急性病患者中多黏菌素B的清除率也几乎相似(范围为1.27 - 2.32 L/h)。有两项研究报告了多黏菌素B的游离药物浓度而非总药物浓度。在重症患者中,多黏菌素B的蛋白结合率为48.8%至92.4%不等。肌酐清除率是与多黏菌素甲磺酸钠和/或多黏菌素以及多黏菌素B清除率改变相关的最常见患者特征。
重症患者中多黏菌素和多黏菌素B呈现复杂的药代动力学,受肾功能、体重以及急性肾损伤、肾脏清除率增加、血清白蛋白和肝功能等临床因素影响。这些因素需要进行个体化给药调整以避免毒性并实现治疗效果。模型指导的精准给药通过整合群体药代动力学参数、患者特异性变量和治疗药物监测,为优化其使用提供了一种有前景的方法,确保在疗效、安全性和预防耐药性之间取得平衡。