OBJECTIVE: To describe the systemic pharmacokinetics of ranibizumab after intravitreal administration in patients with retinal vein occlusion (RVO) or diabetic macular edema (DME). DESIGN: A population approach of nonlinear mixed-effect pharmacokinetics modeling based on serum concentrations of ranibizumab measured at various times after intravitreal administration. PARTICIPANTS: Patients with RVO (n = 441) andDME (n = 435) from 4 large, randomized, phase 3 clinical trials of monthly ranibizumab intravitreal administration. METHODS: A 1-compartment pharmacokinetics model with first-order absorption and elimination rate constants previously developed in patients with age-related macular degeneration (AMD) was fitted separately to RVO and DME data. Population pharmacokinetic parameters and interindividual variability were estimated for each model. Baseline covariates were evaluated for potential effects on systemic pharmacokinetics. Model performance was validated using general diagnostic plots and a visual predictive check. MAIN OUTCOME MEASURES: Ranibizumab disposition was determined in RVO and DME patients and compared with that previously seen in AMD patients. RESULTS: The AMD pharmacokinetics model correctly predicted the measured serum ranibizumab concentration data for RVO and DME patients. Most observed data points were within the simulated 90% confidence interval, indicating that systemic ranibizumab concentrations were comparable among AMD, RVO, and DME patients. No disease-related covariates were identified by the population pharmacokinetics analysis. CONCLUSIONS: The systemic pharmacokinetics of ranibizumab were similar among patients with AMD, RVO, or DME. Disease-related differences and patient demographics, measured in this study, did not lead to variability in ocular elimination or in systemic exposure of ranibizumab after intravitreal administration. In all disease processes tested, ranibizumab exits the eye slowly and then is eliminated rapidly from the circulation, thus minimizing systemic exposure.
RCT Entities:
OBJECTIVE: To describe the systemic pharmacokinetics of ranibizumab after intravitreal administration in patients with retinal vein occlusion (RVO) or diabetic macular edema (DME). DESIGN: A population approach of nonlinear mixed-effect pharmacokinetics modeling based on serum concentrations of ranibizumab measured at various times after intravitreal administration. PARTICIPANTS: Patients with RVO (n = 441) and DME (n = 435) from 4 large, randomized, phase 3 clinical trials of monthly ranibizumab intravitreal administration. METHODS: A 1-compartment pharmacokinetics model with first-order absorption and elimination rate constants previously developed in patients with age-related macular degeneration (AMD) was fitted separately to RVO and DME data. Population pharmacokinetic parameters and interindividual variability were estimated for each model. Baseline covariates were evaluated for potential effects on systemic pharmacokinetics. Model performance was validated using general diagnostic plots and a visual predictive check. MAIN OUTCOME MEASURES: Ranibizumab disposition was determined in RVO and DMEpatients and compared with that previously seen in AMDpatients. RESULTS: The AMD pharmacokinetics model correctly predicted the measured serum ranibizumab concentration data for RVO and DMEpatients. Most observed data points were within the simulated 90% confidence interval, indicating that systemic ranibizumab concentrations were comparable among AMD, RVO, and DMEpatients. No disease-related covariates were identified by the population pharmacokinetics analysis. CONCLUSIONS: The systemic pharmacokinetics of ranibizumab were similar among patients with AMD, RVO, or DME. Disease-related differences and patient demographics, measured in this study, did not lead to variability in ocular elimination or in systemic exposure of ranibizumab after intravitreal administration. In all disease processes tested, ranibizumab exits the eye slowly and then is eliminated rapidly from the circulation, thus minimizing systemic exposure.
Authors: Lee M Jampol; Adam R Glassman; Danni Liu; Lloyd Paul Aiello; Neil M Bressler; Elia J Duh; Susan Quaggin; John A Wells; Charles C Wykoff Journal: Ophthalmology Date: 2018-03-07 Impact factor: 12.079
Authors: Robert L Avery; Alessandro A Castellarin; Nathan C Steinle; Dilsher S Dhoot; Dante J Pieramici; Robert See; Stephen Couvillion; Maʼan A Nasir; Melvin D Rabena; Mauricio Maia; Sherri Van Everen; Kha Le; William D Hanley Journal: Retina Date: 2017-10 Impact factor: 4.256
Authors: Marc Vanhove; Bernard Noppen; Jean-Marc Wagner; Tine Van Bergen; Philippe Barbeaux; Alan W Stitt Journal: J Pharmacokinet Pharmacodyn Date: 2021-07-23 Impact factor: 2.745
Authors: Marc Vanhove; Jean-Marc Wagner; Bernard Noppen; Bart Jonckx; Elke Vermassen; Alan W Stitt Journal: J Pharmacokinet Pharmacodyn Date: 2021-07-23 Impact factor: 2.745