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Defining Safe and Effective Cefazolin Dosing Regimens for MSSA Infections in the CNS: Leveraging Sparse Real-World
Samuel Dubinsky1, Mark McIntyre2,3, Min-Soo Kim4
1Department of Critical Care, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada. sam.dubinsky@nshealth.ca.
Cefazolin may effectively treat central nervous system (CNS) infections caused by methicillin-susceptible Staphylococcus aureus (MSSA). Higher doses or continuous infusion may be needed to achieve adequate drug concentrations in the CNS.
Area of Science:
- Pharmacokinetics and Pharmacodynamics
- Infectious Diseases
- Neurosurgery
Background:
- Central nervous system (CNS) infections pose significant risks.
- Cefazolin is used for surgical prophylaxis but its therapeutic use for CNS infections is debated.
- Achieving adequate cefazolin concentrations in the CNS is a key concern.
Purpose of the Study:
- To evaluate the dose-exposure-response relationship of cefazolin in the CNS.
- To develop a physiologically-based pharmacokinetic (PBPK) model for cefazolin in the CNS.
- To determine optimal dosing regimens for treating CNS infections.
Main Methods:
- A PBPK model was developed using PK-Sim and sparse cerebrospinal fluid (CSF) data.
- Simulations explored standard and alternative cefazolin dosing regimens.
- Pharmacodynamic targets included 100% time above minimum inhibitory concentration (MIC) and neurotoxicity thresholds.
Main Results:
- The cefazolin CSF-PBPK model was successfully validated against observed data.
- Simulations suggest higher intermittent doses (2000 mg q6h) or continuous infusion (8-10 g/day) are needed for 90% target attainment against MSSA with MIC ≤ 2 mg/L.
- Predicted cefazolin concentrations remained below neurotoxicity thresholds.
Conclusions:
- This study presents the first mechanistic model for cefazolin pharmacokinetics in CSF.
- The findings support cefazolin's potential as a treatment for CNS infections caused by MSSA.
- The model can aid in planning future clinical trials for cefazolin in CNS infections.
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