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Population pharmacokinetics and limited sampling strategies of polymyxin B in critically ill patients.
Pi, Meng-Ying; Cai, Chang-Jie; Zuo, Ling-Yun; Zheng, Jun-Tao; Zhang, Miao-Lun; Lin, Xiao-Bin; Chen, Xiao; Zhong, Guo-Ping; Xia, Yan-Zhe.
Afiliación
  • Pi MY; Department of Pharmacy, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, 510080, Guangzhou, China.
  • Cai CJ; School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China.
  • Zuo LY; Department of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Zheng JT; Department of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Zhang ML; Department of Pharmacy, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, 510080, Guangzhou, China.
  • Lin XB; Department of Pharmacy, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, 510080, Guangzhou, China.
  • Chen X; School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China.
  • Zhong GP; Department of Pharmacy, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, 510080, Guangzhou, China.
  • Xia YZ; Department of Pharmacy, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, 510080, Guangzhou, China.
J Antimicrob Chemother ; 78(3): 792-801, 2023 03 02.
Article en En | MEDLINE | ID: mdl-36702748
OBJECTIVES: To characterize the pharmacokinetics (PK) of polymyxin B in Chinese critically ill patients. The factors significantly affecting PK parameters are identified, and a limited sampling strategy for therapeutic drug monitoring of polymyxin B is explored. METHODS: Thirty patients (212 samples) were included in a population PK analysis. A limited sampling strategy was developed using Bayesian estimation, multiple linear regression and modified integral equations. Non-linear mixed-effects models were developed using Phoenix NLME software. RESULTS: A two-compartment population PK model was used to describe polymyxin B PK. Population estimates of the volumes of central compartment distribution (V) and peripheral compartment distribution (V2), central compartment clearance (CL) and intercompartmental clearance (Q) were 7.857 L, 12.668 L, 1.672 L/h and 7.009 L/h. Continuous renal replacement therapy (CRRT) significantly affected CL, and body weight significantly affected CL and Q. The AUC0-12h of polymyxin B in patients with CRRT was significantly lower than in patients without CRRT. CL and Q increased with increasing body weight. A limited sampling strategy was suggested using a two-sample scheme with plasma at 0.5h and 8h after the end of infusion (C0.5 and C8) for therapeutic drug monitoring in the clinic. CONCLUSIONS: A dosing regimen should be based on body weight and the application of CRRT. A two-sample strategy for therapeutic drug monitoring could facilitate individualized treatment with polymyxin B in critically ill patients.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Polimixina B / Enfermedad Crítica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Antimicrob Chemother Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Polimixina B / Enfermedad Crítica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Antimicrob Chemother Año: 2023 Tipo del documento: Article País de afiliación: China