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

AI Article Synopsis

  • - Adalimumab is a monoclonal antibody used to treat inflammatory bowel disease (IBD), but its effectiveness can vary, making it important to personalize dosing.
  • - A study developed two population pharmacokinetic (PopPK) models based on existing literature to improve dosing in IBD patients, using data from 54 patients.
  • - Among the models, the one incorporating informative priors performed better, showing less bias and imprecision, and providing greater clinical impact compared to the basic estimated model and the reference model.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604709PMC
http://dx.doi.org/10.3390/biomedicines11102822DOI Listing

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