Cerebrospinal Pharmacokinetic Modeling and Pharmacodynamic Simulation of High-Dose Cefazolin for Meningitis Caused by Methicillin-Susceptible Staphylococcus aureus

高剂量头孢唑林治疗甲氧西林敏感金黄色葡萄球菌引起的脑膜炎的脑脊液药代动力学模型和药效学模拟

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Abstract

Background: Cefazolin is being increasingly used to treat central nervous system infections caused by methicillin-susceptible Staphylococcus aureus (MSSA) to mitigate the side effects of existing anti-Staphylococcal drugs. This study aims to develop a cerebrospinal pharmacokinetic (PK) model to predict the cefazolin concentration in cerebrospinal fluid (CSF) and to individualize the dosing regimen for MSSA meningitis. Methods: A cerebrospinal PK model was developed based on the existing literature and used to estimate the probability of attaining PK/ pharmacodynamic (PD) targets. These targets were set as 100% time above the minimum inhibitory concentration (T > MIC) in CSF. The cerebrospinal PK/PD breakpoint was defined as the highest MIC at which target attainment probability in CSF was ≥90%. The mean CSF/serum ratio estimated from the literature was 0.0525 after a dose of 1-3 g (sampling time: 1-9 h after dose) in adult patients with suspected meningitis. This ratio was incorporated into this PK model based on a hybrid approach. Results: For patients with creatinine clearance (CL(cr)) = 90 mL/min, the cerebrospinal PK/PD breakpoint MICs of continuous infusion regimens (6-12 g/day) reached 0.5 µg/mL, which can inhibit the growth of 90% of the MSSA population (MIC(90)). Furthermore, for patients with renal dysfunction (CL(cr) = 30 mL/min), a dose reduction (4 g/day) may be required to avoid excessive drug exposure. Conclusions: High-dose continuous infusion of cefazolin may be appropriate for MSSA meningitis in patients with normal renal function, while dose adjustments are needed for those with renal impairment.

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