Application of Population Pharmacokinetic Modeling, Exposure-Response Analysis, and Classification and Regression Tree Analysis to Support Dosage Regimen and Therapeutic Drug Monitoring of Plazomicin in Complicated Urinary Tract Infection Patients with Renal Impairment.

In 2018, the FDA approved plazomicin for the treatment of complicated urinary tract infections (cUTI) including pyelonephritis in adult patients with limited or no alternative treatment options. The objective of this article is to provide the scientific rationales behind the recommended dosage regimen and therapeutic drug monitoring (TDM) of plazomicin in cUTI patients with renal impairment. A previous population pharmacokinetic (PK) model was used to evaluate the dosage regimen in cUTI patients with different degrees of renal impairment. The exposure-response analysis was conducted to identify the relationship between plazomicin exposure and nephrotoxicity incidence in cUTI patients with renal impairment. Classification and regression tree (CART) analysis was utilized to assess the TDM strategy. The receiver operating characteristics curve was plotted to compare two TDM thresholds in cUTI patients with renal impairment. The analyses suggested that dose reduction is necessary for cUTI patients with moderate or severe renal impairment. TDM should be implemented for cUTI patients with mild, moderate, or severe renal impairment to reduce the risk of nephrotoxicity. The trough concentration of 3 µg/mL is a reasonable TDM threshold to reduce the nephrotoxicity incidence while maintaining efficacy in cUTI patients with renal impairment. The application of population PK modeling, exposure-response analysis, and CART analysis allowed for the evaluation of a dosage regimen and TDM strategy for plazomicin in cUTI patients with renal impairment. Our study demonstrates the utility of pharmacometrics and statistical approaches to inform a dosage regimen and TDM strategy for drugs with narrow therapeutic windows.