Cargando…
Population Pharmacokinetic Modelling of Intravenous Immunoglobulin Treatment in Patients with Guillain–Barré Syndrome
BACKGROUND AND OBJECTIVE: Intravenous immunoglobulin (IVIg) at a standard dosage is the treatment of choice for Guillain–Barré syndrome. The pharmacokinetics, however, is highly variable between patients, and a rapid clearance of IVIg is associated with poor recovery. We aimed to develop a model to...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439991/ https://www.ncbi.nlm.nih.gov/pubmed/35781631 http://dx.doi.org/10.1007/s40262-022-01136-z |
_version_ | 1784782211405316096 |
---|---|
author | Fokkink, Willem Jan R. van Tilburg, Sander J. de Winter, Brenda C. M. Sassen, Sebastiaan D. T. van Doorn, Pieter A. Koch, Birgit C. P. Jacobs, Bart C. |
author_facet | Fokkink, Willem Jan R. van Tilburg, Sander J. de Winter, Brenda C. M. Sassen, Sebastiaan D. T. van Doorn, Pieter A. Koch, Birgit C. P. Jacobs, Bart C. |
author_sort | Fokkink, Willem Jan R. |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Intravenous immunoglobulin (IVIg) at a standard dosage is the treatment of choice for Guillain–Barré syndrome. The pharmacokinetics, however, is highly variable between patients, and a rapid clearance of IVIg is associated with poor recovery. We aimed to develop a model to predict the pharmacokinetics of a standard 5-day IVIg course (0.4 g/kg/day) in patients with Guillain–Barré syndrome. METHODS: Non-linear mixed-effects modelling software (NONMEM(®)) was used to construct a pharmacokinetic model based on a model-building cohort of 177 patients with Guillain–Barré syndrome, with a total of 589 sequential serum samples tested for total immunoglobulin G (IgG) levels, and evaluated on an independent validation cohort that consisted of 177 patients with Guillain–Barré syndrome with 689 sequential serum samples. RESULTS: The final two-compartment model accurately described the daily increment in serum IgG levels during a standard IVIg course; the initial rapid fall and then a gradual decline to steady-state levels thereafter. The covariates that increased IgG clearance were a more severe disease (as indicated by the Guillain–Barré syndrome disability score) and concomitant methylprednisolone treatment. When the current dosing regimen was simulated, the percentage of patients who reached a target ∆IgG > 7.3 g/L at 2 weeks decreased from 74% in mildly affected patients to only 33% in the most severely affected and mechanically ventilated patients (Guillain–Barré syndrome disability score of 5). CONCLUSIONS: This is the first population-pharmacokinetic model for standard IVIg treatment in Guillain–Barré syndrome. The model provides a new tool to predict the pharmacokinetics of alternative regimens of IVIg in Guillain–Barré syndrome to design future trials and personalise treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-022-01136-z. |
format | Online Article Text |
id | pubmed-9439991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-94399912022-09-04 Population Pharmacokinetic Modelling of Intravenous Immunoglobulin Treatment in Patients with Guillain–Barré Syndrome Fokkink, Willem Jan R. van Tilburg, Sander J. de Winter, Brenda C. M. Sassen, Sebastiaan D. T. van Doorn, Pieter A. Koch, Birgit C. P. Jacobs, Bart C. Clin Pharmacokinet Original Research Article BACKGROUND AND OBJECTIVE: Intravenous immunoglobulin (IVIg) at a standard dosage is the treatment of choice for Guillain–Barré syndrome. The pharmacokinetics, however, is highly variable between patients, and a rapid clearance of IVIg is associated with poor recovery. We aimed to develop a model to predict the pharmacokinetics of a standard 5-day IVIg course (0.4 g/kg/day) in patients with Guillain–Barré syndrome. METHODS: Non-linear mixed-effects modelling software (NONMEM(®)) was used to construct a pharmacokinetic model based on a model-building cohort of 177 patients with Guillain–Barré syndrome, with a total of 589 sequential serum samples tested for total immunoglobulin G (IgG) levels, and evaluated on an independent validation cohort that consisted of 177 patients with Guillain–Barré syndrome with 689 sequential serum samples. RESULTS: The final two-compartment model accurately described the daily increment in serum IgG levels during a standard IVIg course; the initial rapid fall and then a gradual decline to steady-state levels thereafter. The covariates that increased IgG clearance were a more severe disease (as indicated by the Guillain–Barré syndrome disability score) and concomitant methylprednisolone treatment. When the current dosing regimen was simulated, the percentage of patients who reached a target ∆IgG > 7.3 g/L at 2 weeks decreased from 74% in mildly affected patients to only 33% in the most severely affected and mechanically ventilated patients (Guillain–Barré syndrome disability score of 5). CONCLUSIONS: This is the first population-pharmacokinetic model for standard IVIg treatment in Guillain–Barré syndrome. The model provides a new tool to predict the pharmacokinetics of alternative regimens of IVIg in Guillain–Barré syndrome to design future trials and personalise treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-022-01136-z. Springer International Publishing 2022-07-04 2022 /pmc/articles/PMC9439991/ /pubmed/35781631 http://dx.doi.org/10.1007/s40262-022-01136-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Article Fokkink, Willem Jan R. van Tilburg, Sander J. de Winter, Brenda C. M. Sassen, Sebastiaan D. T. van Doorn, Pieter A. Koch, Birgit C. P. Jacobs, Bart C. Population Pharmacokinetic Modelling of Intravenous Immunoglobulin Treatment in Patients with Guillain–Barré Syndrome |
title | Population Pharmacokinetic Modelling of Intravenous Immunoglobulin Treatment in Patients with Guillain–Barré Syndrome |
title_full | Population Pharmacokinetic Modelling of Intravenous Immunoglobulin Treatment in Patients with Guillain–Barré Syndrome |
title_fullStr | Population Pharmacokinetic Modelling of Intravenous Immunoglobulin Treatment in Patients with Guillain–Barré Syndrome |
title_full_unstemmed | Population Pharmacokinetic Modelling of Intravenous Immunoglobulin Treatment in Patients with Guillain–Barré Syndrome |
title_short | Population Pharmacokinetic Modelling of Intravenous Immunoglobulin Treatment in Patients with Guillain–Barré Syndrome |
title_sort | population pharmacokinetic modelling of intravenous immunoglobulin treatment in patients with guillain–barré syndrome |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439991/ https://www.ncbi.nlm.nih.gov/pubmed/35781631 http://dx.doi.org/10.1007/s40262-022-01136-z |
work_keys_str_mv | AT fokkinkwillemjanr populationpharmacokineticmodellingofintravenousimmunoglobulintreatmentinpatientswithguillainbarresyndrome AT vantilburgsanderj populationpharmacokineticmodellingofintravenousimmunoglobulintreatmentinpatientswithguillainbarresyndrome AT dewinterbrendacm populationpharmacokineticmodellingofintravenousimmunoglobulintreatmentinpatientswithguillainbarresyndrome AT sassensebastiaandt populationpharmacokineticmodellingofintravenousimmunoglobulintreatmentinpatientswithguillainbarresyndrome AT vandoornpietera populationpharmacokineticmodellingofintravenousimmunoglobulintreatmentinpatientswithguillainbarresyndrome AT kochbirgitcp populationpharmacokineticmodellingofintravenousimmunoglobulintreatmentinpatientswithguillainbarresyndrome AT jacobsbartc populationpharmacokineticmodellingofintravenousimmunoglobulintreatmentinpatientswithguillainbarresyndrome |