Abouelhassan Yasmeen, Shen Yuwei, Chen April, Ye Xiaoyi, Nicolau David P, Kuti Joseph L
Center for Anti-Infective Research and Development, Hartford Hospital, Hartford, Connecticut, USA.
Innoviva Specialty Therapeutics Inc, Waltham, Massachusetts, USA.
Antimicrob Agents Chemother. 2025 Jan 31;69(1):e0167423. doi: 10.1128/aac.01674-23. Epub 2024 Dec 10.
Sulbactam-durlobactam is approved for the treatment of hospital-acquired and ventilator-associated bacterial pneumonia caused by susceptible isolates of complex. Patients with serious infections may require support with continuous renal replacement therapy (CRRT), which presents challenges for optimal dosing of antibiotics. Sulbactam-durlobactam dosing regimens were derived for this population using an CRRT model and Monte Carlo simulation (MCS). Transmembrane clearance (CL) was determined in hemofiltration (CVVH) and hemodialysis (CVVHD) modes using the Prismaflex M100 and HF1400 hemofilter sets and with effluent rates of 1, 2, and 3 L/h. Pre-filter, post-filter blood, and effluent samples were collected over 60 min to calculate sieving (SC) and saturation (SA) coefficients for CVVH and CVVHD, respectively. An established population pharmacokinetic model was integrated with the CL; then, a 1,000 patient MCS was conducted to determine exposures of potential dosing regimens. Adsorption and degradation in the CRRT model were negligible. The overall mean ± standard deviation SC/SA was 1.14 ± 0.12 and 0.93 ± 0.08 for sulbactam and durlobactam, respectively. In multivariable regression analyses, effluent rate was the primary driver of CL for both drugs. For effluent rates <3 L/h, sulbactam-durlobactam 1 g-1g q8h as 3 h infusion achieved a high probability of pharmacodynamic target attainment while retaining area under the curve exposures consistent with the standard dose in non-CRRT patients. For effluent rates ≥3 to 5 L/h, the optimal regimen was 1 g-1g q6h 3 h infusion. Sulbactam-durlobactam regimens that provide optimum drug exposures for efficacy and safety were identified for CRRT based on the prescribed effluent rate.
舒巴坦-度洛巴坦被批准用于治疗由复杂菌的敏感分离株引起的医院获得性和呼吸机相关性细菌性肺炎。患有严重感染的患者可能需要持续肾脏替代治疗(CRRT)的支持,这给抗生素的最佳给药带来了挑战。使用CRRT模型和蒙特卡洛模拟(MCS)为该人群推导了舒巴坦-度洛巴坦的给药方案。使用Prismaflex M100和HF1400血液滤过器组,在血液滤过(CVVH)和血液透析(CVVHD)模式下,以1、2和3 L/h的流出速率测定跨膜清除率(CL)。在60分钟内收集滤器前、滤器后血液和流出液样本,分别计算CVVH和CVVHD的筛过(SC)和饱和(SA)系数。将已建立的群体药代动力学模型与CL相结合;然后,进行了1000例患者的MCS,以确定潜在给药方案的暴露情况。CRRT模型中的吸附和降解可忽略不计。舒巴坦和度洛巴坦的总体平均±标准差SC/SA分别为1.14±0.12和0.93±0.08。在多变量回归分析中,流出速率是两种药物CL的主要驱动因素。对于流出速率<3 L/h,舒巴坦-度洛巴坦1 g-1g q8h静脉输注3小时,在保持曲线下面积暴露与非CRRT患者的标准剂量一致的同时,实现药效学目标达成的概率较高。对于流出速率≥3至5 L/h,最佳方案是1 g-?1g q6h静脉输注3小时。根据规定的流出速率,确定了为CRRT提供最佳药物暴露以确保疗效和安全性的舒巴坦-度洛巴坦给药方案。 (原文中“1 g-?1g”疑似有误,已按原文翻译)