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Towards the optimal design of a minimum set of clinical trials for the identification and characterization of VWD

Taverna, B; Casonato, A; Bezzo, F; Galvanin, F; (2018) Towards the optimal design of a minimum set of clinical trials for the identification and characterization of VWD. In: Gavin, ME and Towler, G and Ierapetritou, M, (eds.) Proceedings of the 13th International Symposium on Process Systems Engineering – PSE 2018. Elsevier

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Abstract

Von Willebrand disease is one of the most severe inherited bleeding disorders in humans, characterized by qualitative and/or quantitative defects of the von Willebrand factor protein. Diagnosis is difficult due to the high heterogeneity of the disease. Pharmacokinetic models have been recently proposed and applied to help in the disease characterization and diagnosis. However, the complexity of the models requires long and invasive dynamic non-routine tests to be carried out on the subjects to achieve a statistically satisfactory estimate of the individual metabolic parameters. In this work, it is demonstrated how the use of basal clinical tests and a shorter dynamic clinical test may allow for the identification of a mechanistic model of the disease. An existing mechanistic model of von Willebrand disease has been modified to account for the basal tests, where new model equations are derived using response surface methodology. Results show a good agreement between the model response and the clinical data.

Type: Proceedings paper
Title: Towards the optimal design of a minimum set of clinical trials for the identification and characterization of VWD
Event: PSE 2018, 13th International Symposium on Process Systems Engineering, 1-5 July 2018, San Diego, California, USA
Location: San Diego
Dates: 01 July 2018 - 05 July 2018
ISBN-13: 9780444641281
Publisher version: https://www.elsevier.com/books/13th-international-...
Language: English
Keywords: von Willebrand disease; model identification; basal clinical tests
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10051034
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