A systematic review of population pharmacokinetic analyses of polyclonal immunoglobulin G therapy

• Published in: International immunopharmacology 2021-08, Vol.97, p.107721, Article 107721
• Main Authors: Lee, Jian Lynn, Mohamed Shah, Noraida, Makmor-Bakry, Mohd, Islahudin, Farida, Alias, Hamidah, Mohd Saffian, Shamin
• Format: Article
• Language: English
• Subjects: Biological Variation, Population; Body Weight; Dose-Response Relationship, Drug; Drug Dosage Calculations; Humans; IgG antibody; Immunization, Passive - methods; Immunodeficiency; Immunoglobulin G; Immunoglobulin G - pharmacology; Immunoglobulin G - therapeutic use; Immunoglobulins; Modelling; Models, Biological; Nonlinear Dynamics; Nonlinear mixed-effects modeling; NONMEM; Pharmacodynamics; Pharmacokinetics; Pharmacology; Pharmacometrics; Population pharmacokinetics; Primary immunodeficiencies; Primary immunodeficiency; Weight
• ISSN: 1567-5769; 1878-1705
• DOI: 10.1016/j.intimp.2021.107721

•Most of the polyclonal IgG popPK models were developed in patients with PID.•Using the NLME approach, weight was a significant predictor for CL and Vd of IgG.•There is a lack of popPK studies of IgG in other medical conditions. Population pharmacokinetics (popPK) using the nonlinear mixed-effect (NLME) modeling approach is an essential tool for guiding dose individualization. Several popPK analyses using the NLME have been conducted to characterize the pharmacokinetics of immunoglobulin G (IgG). To summarize the current information on popPK of polyclonal IgG therapy. A systematic search was conducted in the PubMed and Web of Science databases from inception to December 2020. Additional relevant studies were also included by reviewing the reference list of the reviewed articles. All popPK studies that employed the NLME modeling approach were included and data were synthesized descriptively. This review included seven studies. Most of the popPK models were developed in patients with primary immunodeficiency (PID). IgG pharmacokinetics was described as a two-compartment model in five studies, while it was described as a one-compartment model in two other studies. Among all tested covariates, weight was consistently identified as a significant predictor for clearance (CL) of IgG. Whereas, weight and disease type were found to be significant predictors for the volume of distribution in central compartment (Vc). In a typical 70 kg adult, the median estimated values of Vc and CL were 4.04 L and 0.144 L/day, respectively. The between subject variability of Vc was considered large. Only two studies evaluated their models using external data. Seven popPK studies of IgG were found and discussed, with only weight being a significant covariate across all studies. Future studies linking pharmacokinetics with pharmacodynamics in PID and other patient populations are required.