Population Pharmacokinetic/Toxicodynamic Model for Polymyxin B in Critically Ill Patients to Identify the Risk of Nephrotoxicity
Polymyxins are used against highly resistant Gram-negative pathogens, and nephrotoxicity (acute kidney injury, AKI) is the major dose-limiting adverse effect. We aimed to develop a well-informed population pharmacokinetic/toxicodynamic (PK/TD) model using the largest polymyxin B-treated critically ill patient population studied to inform polymyxin B dosing strategies. Critically ill patients receiving intravenous polymyxin B for at least 48 hours were enrolled in an observational study. Serum creatinine (SCr) concentrations were collected from electronic medical records. PK/TD analysis and Monte Carlo simulations were performed to determine the probability of AKI, P(AKI), for clinically relevant treatments. Patients (N = 117) aged 18-94 received intravenous polymyxin B (1.33-6.00 mg/kg/day) for 1-50 days. The changes in SCr were described using an indirect response model. The effects of polymyxin B-induced functional kidney injury were characterized using 9 transit compartments (mean time to onset ~7 days), leading to a reduction in SCr elimination. Sex was identified as a significant covariate for baseline SCr<sub>0</sub>. Concomitant amikacin or vancomycin use resulted in increased sensitivity to polymyxin B. On day 21, Low (fAUC<sub>0-24</sub>,<sub>SS</sub> = ~10 mg·h/L), medium (fAUC<sub>0-24,SS</sub> = ~20 mg·h/L ), and high (fAUC<sub>0-24,SS</sub> = ~40 mg·h/L) drug exposures resulted in a P(AKI) (> 1-fold SCr increase) of 25.8%, 32.5%, and 40.4%, respectively. This study, the largest to date, suggests that regimens ranging from low to high polymyxin B exposures can minimize P(AKI) over a longer duration (14 days). However, supratherapeutic exposure can be administered relatively safely when limited to a shorter duration (≤ 4 days). The population PK/TD model may be used to improve polymyxin B dosing to help conserve this last-line agent.
Authors
- Alexandre Prehn Zavascki (ORCID: https://orcid.org/0000-0001-5331-4837)
- Keith S. Kaye (ORCID: https://orcid.org/0000-0003-2051-1732)
- Marc H. Scheetz (ORCID: https://orcid.org/0000-0002-1091-6130)
- Michael T. Yin (ORCID: https://orcid.org/0000-0002-9346-9056)
- David P. Calfee (ORCID: https://orcid.org/0000-0002-4647-790X)
- Andrea Lay‐Hoon Kwa (ORCID: https://orcid.org/0000-0001-8981-4411)
- Benjamin Pei Zhi Cherng
- Maureen K. Bolon
- Christine J. Kubin (ORCID: https://orcid.org/0000-0002-9819-440X)
- Ramya Mahadevan (ORCID: https://orcid.org/0009-0008-3951-1146)
- Roger L. Nation (ORCID: https://orcid.org/0000-0003-1492-8590)
- Ana Maria Sandri
- Jason M. Pogue (ORCID: https://orcid.org/0000-0003-4780-6215)
- Anthony W. Purcell (ORCID: https://orcid.org/0000-0003-0532-8331)
- Patrick O. Hanafin
- Gauri G. Rao (ORCID: https://orcid.org/0000-0002-8704-7770)
- Lu Wang (ORCID: https://orcid.org/0000-0003-3782-6642)
- Jian Li (ORCID: https://orcid.org/0000-0001-7953-8230)
- Jiping Wang (ORCID: https://orcid.org/0000-0003-2489-1074)
- Jayesh Shah
Institutions
- Rutgers, The State University of New Jersey (US)
- Northwestern University (US)
- University of North Carolina at Chapel Hill (US)
- University of Southern California (US)
- Midwestern University (US)
- Universidade Federal do Rio Grande do Sul (BR)
- NewYork–Presbyterian Hospital (US)
- Universidade Federal de Ciências da Saúde de Porto Alegre (BR)
- Cornell University (US)
- Singapore General Hospital (SG)
- University of Michigan (US)
- New York Hospital Queens (US)
- Australian Regenerative Medicine Institute (AU)
- Johnson University (US)
- Hospital Moinhos de Vento (BR)
- Northwestern Memorial Hospital (US)
- Duke-NUS Medical School (SG)
- Pontifícia Universidade Católica do Rio Grande do Sul (BR)
- Monash University (AU)
- Columbia University (US)
Publication Details
- Journal
- Clinical Pharmacology & Therapeutics
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1002/cpt.3729
- Citations
- 1
- Primary Topic
- Antibiotics Pharmacokinetics and Efficacy
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- National Institutes of Health