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Population pharmacokinetic model of cefepime for critically ill adults: a comparative assessment of eGFR equations.
Barreto, Erin F; Chang, Jack; Rule, Andrew D; Mara, Kristin C; Meade, Laurie A; Paul, Johar; Jannetto, Paul J; Athreya, Arjun P; Scheetz, Marc H.
  • Barreto EF; Department of Pharmacy, Mayo Clinic , Rochester, Minnesota, USA.
  • Chang J; Department of Pharmacy Practice, Chicago College of Pharmacy, Pharmacometrics Center of Excellence, Midwestern University , Downers Grove, Illinois, USA.
  • Rule AD; Department of Pharmacy, Northwestern Medicine , Chicago, Illinois, USA.
  • Mara KC; Division of Nephrology and Hypertension, Mayo Clinic , Rochester, Minnesota, USA.
  • Meade LA; Division of Epidemiology, Mayo Clinic , Rochester, Minnesota, USA.
  • Paul J; Division of Clinical Trials and Biostatistics, Mayo Clinic , Rochester, Minnesota, USA.
  • Jannetto PJ; Anesthesia Clinical Research Unit, Mayo Clinic , Rochester, Minnesota, USA.
  • Athreya AP; Anesthesia Clinical Research Unit, Mayo Clinic , Rochester, Minnesota, USA.
  • Scheetz MH; Department of Laboratory Medicine & Pathology, Mayo Clinic , Rochester, Minnesota, USA.
Antimicrob Agents Chemother ; 67(11): e0081023, 2023 11 15.
Article en En | MEDLINE | ID: mdl-37882514
ABSTRACT
Cefepime exhibits highly variable pharmacokinetics in critically ill patients. The purpose of this study was to develop and qualify a population pharmacokinetic model for use in the critically ill and investigate the impact of various estimated glomerular filtration rate (eGFR) equations using creatinine, cystatin C, or both on model parameters. This was a prospective study of critically ill adults hospitalized at an academic medical center treated with intravenous cefepime. Individuals with acute kidney injury or on kidney replacement therapy or extracorporeal membrane oxygenation were excluded. A nonlinear mixed-effects population pharmacokinetic model was developed using data collected from 2018 to 2022. The 120 included individuals contributed 379 serum samples for analysis. A two-compartment pharmacokinetic model with first-order elimination best described the data. The population mean parameters (standard error) in the final model were 7.84 (0.24) L/h for CL1 and 15.6 (1.45) L for V1. Q was fixed at 7.09 L/h and V2 was fixed at 10.6 L, due to low observed interindividual variation in these parameters. The final model included weight as a covariate for volume of distribution and the eGFRcr-cysC (mL/min) as a predictor of drug clearance. In summary, a population pharmacokinetic model for cefepime was created for critically ill adults. The study demonstrated the importance of cystatin C to prediction of cefepime clearance. Cefepime dosing models which use an eGFR equation inclusive of cystatin C are likely to exhibit improved accuracy and precision compared to dosing models which incorporate an eGFR equation with only creatinine.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cistatina C / Antibacterianos Límite: Adult / Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cistatina C / Antibacterianos Límite: Adult / Humans Idioma: En Año: 2023 Tipo del documento: Article