Using Real‐World Data to Guide Ustekinumab Dosing Strategies for Psoriasis: A Prospective Pharmacokinetic‐Pharmacodynamic Study

银屑病面积及严重程度指数 银屑病性关节炎 药理学 阿达木单抗 耐受性 不利影响 依那西普
作者
Shuting Pan,Teresa Tsakok,Nick Dand,Derrick Lonsdale,Floris C. Loeff,Karien Bloem,Annick de Vries,David Baudry,Michael Duckworth,Satveer K. Mahil,Angela Pushpa-Rajah,Ailsa Russell,Ali Alsharqi,Gabrielle Becher,Ruth Murphy,Shyamal Wahie,Andrew Wright,Christopher E.M. Griffiths,Nick J. Reynolds,Debabrata Bandyopadhyay,Richard B Warren,A. David Burden,Theo Rispens,Joseph F. Standing
出处
期刊:Clinical and Translational Science [Wiley]
卷期号:13 (2): 400-409 被引量:8
标识
DOI:10.1111/cts.12725
摘要

Variation in response to biologic therapy for inflammatory diseases, such as psoriasis, is partly driven by variation in drug exposure. Real‐world psoriasis data were used to develop a pharmacokinetic/pharmacodynamic (PK/PD) model for the first‐line therapeutic antibody ustekinumab. The impact of differing dosing strategies on response was explored. Data were collected from a UK prospective multicenter observational cohort (491 patients on ustekinumab monotherapy, drug levels, and anti‐drug antibody measurements on 797 serum samples, 1,590 measurements of Psoriasis Area Severity Index (PASI)). Ustekinumab PKs were described with a linear one‐compartment model. A maximum effect (E max ) model inhibited progression of psoriatic skin lesions in the turnover PD mechanism describing PASI evolution while on treatment. A mixture model on half‐maximal effective concentration identified a potential nonresponder group, with simulations suggesting that, in future, the model could be incorporated into a Bayesian therapeutic drug monitoring “dashboard” to individualize dosing and improve treatment outcomes.

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