Individualized Precision Therapy With Ceftobiprole Guided by PK/PD in Geriatric Populations

Ceftobiprole, a fifth-generation cephalosporin, exhibits potent antibacterial activity against MRSA, penicillin-resistant Streptococcus pneumoniae (PRSP), and certain Gram-negative bacteria (e.g., Pseudomonas aeruginosa). In elderly patients, significant interindividual variability often leads to inappropriate dosing (subtherapeutic or excessive), compromising efficacy or increasing toxicity risks. This prospective, multicenter study will enroll patients aged ≥60 years receiving ceftobiprole. Using LC-MS/MS for therapeutic drug monitoring (TDM), we will measure plasma concentrations and integrate individual characteristics (age, body weight, creatinine clearance, etc.). Population pharmacokinetic (PPK) modeling with Bayesian forecasting will be employed to estimate individual PK parameters and identify covariates influencing variability, thereby establishing a PPK model for ceftobiprole in the elderly.

Based on pathogen-specific MIC values, dosing regimens (dose, frequency) will be dynamically optimized to guide precision therapy. Subsequent TDM data will continuously refine the PPK model, creating a self-optimizing system. This framework lays the groundwork for extending individualized treatment strategies to other antimicrobials in geriatric populations.