Population Pharmacokinetic Model of Adalimumab Based on Prior Information Using Real World Data

Adalimumab is a fully human monoclonal antibody used for the treatment of inflammatory bowel disease (IBD). Due to its considerably variable pharmacokinetics and the risk of developing antibodies against adalimumab, it is highly recommended to use a model-informed precision dosing approach. The aim...

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Detalhes bibliográficos
Autores: Marquez-Megias, S, Nalda-Molina, R, Más-Serrano, P, Ramon-Lopez, A
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2023
País:España
Recursos:Instituto de Investigación Biomédica y Sanitaria de Alicante (ISABIAL)
Repositório:r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante
OAI Identifier:oai:isabial.fundanetsuite.com:p9914
Acesso em linha:https://isabial.portalinvestigacion.com/publicaciones9914
https://www.mdpi.com/2227-9059/11/10/2822
Access Level:Acceso aberto
Palavra-chave:pharmacokinetics
drug monitoring
adalimumab
monoclonal antibodies
inflammatory bowel diseases
Crohn's disease
ulcerative colitis
Descrição
Resumo:Adalimumab is a fully human monoclonal antibody used for the treatment of inflammatory bowel disease (IBD). Due to its considerably variable pharmacokinetics and the risk of developing antibodies against adalimumab, it is highly recommended to use a model-informed precision dosing approach. The aim of this study is to develop a population pharmacokinetic (PopPK) model of adalimumab for patients with IBD based on a literature model (reference model) to be used in the clinical setting. A retrospective observational study with 54 IBD patients was used to develop two different PopPK models based on the reference model. One of the developed models estimated the pharmacokinetic population parameters (estimated model), and the other model incorporated informative priors (prior model). The models were evaluated with bias and imprecision. Clinical impact was also assessed, evaluating the differences in dose interventions. The developed models included the albumin as a continuous covariate on apparent clearance. The prior model was superior to the estimated model in terms of bias, imprecision and clinical impact on the target population. In conclusion, the prior model adequately characterized adalimumab PK in the studied population and was better than the reference model in terms of predictive performance and clinical impact.