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SwissPKcdw - A clinical data warehouse for the optimization of pediatric dosing regimens.

Goers, R; Coman Schmid, D; Jäggi, VF; Paioni, P; Okoniewski, MJ; Parker, A; Bangerter, B; Georgakopoulou, S; Sengstag, T; Bielicki, J; et al. Goers, R; Coman Schmid, D; Jäggi, VF; Paioni, P; Okoniewski, MJ; Parker, A; Bangerter, B; Georgakopoulou, S; Sengstag, T; Bielicki, J; Tilen, R; Vermeul, S; Krämer, SD; Berger, C; Rinn, B; Meyer Zu Schwabedissen, HE (2021) SwissPKcdw - A clinical data warehouse for the optimization of pediatric dosing regimens. CPT Pharmacometrics Syst Pharmacol, 10 (12). pp. 1578-1587. ISSN 2163-8306 https://doi.org/10.1002/psp4.12723
SGUL Authors: Bielicki, Julia Anna

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Abstract

Clinical trials have been performed mainly in adults and accordingly the necessary information is lacking for pediatric patients, especially regarding dosage recommendation for approved drugs. This gap in information could be filled with results from pharmacokinetic (PK) modeling, based on data collected in daily clinical routine. In order to make this data accessible and usable for research, the Swiss Pharmacokinetics Clinical Data Warehouse (SwissPKcdw ) project has been set up, including a clinical data warehouse (CDW) and the regulatory framework for data transfer and use within. Embedded into the secure BioMedIT network, the CDW can connect to various data providers and researchers in order to collaborate on the data securely. Due to its modularity, partially containerized deployment and open-source software, each of the components can be extended, modified, and re-used for similar projects that require integrated data management, data analysis, and web tools in a secure scientific data and information technology (IT) environment. Here, we describe a collaborative and interprofessional effort to implement the aforementioned infrastructure between several partners from medical health care and academia. Furthermore, we describe a real-world use case where blood samples from pediatric patients were analyzed for the presence of genetic polymorphisms and the results were aggregated and further analyzed together with the health-related patient data in the SwissPKcdw .

Item Type: Article
Additional Information: © 2021 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: CPT Pharmacometrics Syst Pharmacol
ISSN: 2163-8306
Language: eng
Dates:
DateEvent
15 December 2021Published
2 November 2021Published Online
17 September 2021Accepted
Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
PubMed ID: 34729953
Web of Science ID: WOS:000713877000001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/113864
Publisher's version: https://doi.org/10.1002/psp4.12723

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