Population pharmacokinetic model of cefepime for critically ill adults: a comparative assessment of eGFR equations.

beta-lactams critical care cystatin C pharmacokinetics sepsis

Journal

Antimicrobial agents and chemotherapy
ISSN: 1098-6596
Titre abrégé: Antimicrob Agents Chemother
Pays: United States
ID NLM: 0315061

Informations de publication

Date de publication:
15 Nov 2023
Historique:
pubmed: 26 10 2023
medline: 26 10 2023
entrez: 26 10 2023
Statut: ppublish

Résumé

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 eGFR

Identifiants

pubmed: 37882514
doi: 10.1128/aac.00810-23
pmc: PMC10648925
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0081023

Subventions

Organisme : NIAID NIH HHS
ID : K23 AI143882
Pays : United States

Déclaration de conflit d'intérêts

M.H.S. reports a previous research contract with Allecra; DoseMe consultancy. No other authors indicate potential conflicts of interest.

Auteurs

Erin F Barreto (EF)

Department of Pharmacy, Mayo Clinic , Rochester, Minnesota, USA.

Jack Chang (J)

Department of Pharmacy Practice, Chicago College of Pharmacy, Pharmacometrics Center of Excellence, Midwestern University , Downers Grove, Illinois, USA.
Department of Pharmacy, Northwestern Medicine , Chicago, Illinois, USA.

Andrew D Rule (AD)

Division of Nephrology and Hypertension, Mayo Clinic , Rochester, Minnesota, USA.
Division of Epidemiology, Mayo Clinic , Rochester, Minnesota, USA.

Kristin C Mara (KC)

Division of Clinical Trials and Biostatistics, Mayo Clinic , Rochester, Minnesota, USA.

Laurie A Meade (LA)

Anesthesia Clinical Research Unit, Mayo Clinic , Rochester, Minnesota, USA.

Johar Paul (J)

Anesthesia Clinical Research Unit, Mayo Clinic , Rochester, Minnesota, USA.

Paul J Jannetto (PJ)

Department of Laboratory Medicine & Pathology, Mayo Clinic , Rochester, Minnesota, USA.

Arjun P Athreya (AP)

Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic , Rochester, Minnesota, USA.

Marc H Scheetz (MH)

Department of Pharmacy Practice, Chicago College of Pharmacy, Pharmacometrics Center of Excellence, Midwestern University , Downers Grove, Illinois, USA.
Department of Pharmacy, Northwestern Medicine , Chicago, Illinois, USA.

Classifications MeSH