| Literature DB >> 31324937 |
Borna Relja1, Markus Huber-Lang2, Martijn van Griensven3, Frank Hildebrand4, Marc Maegele5, Ulrike Nienaber6, Daniel P Brucker7, Ramona Sturm8, Ingo Marzi8.
Abstract
To decrypt the complexity of the posttraumatic immune responses and to potentially identify novel research pathways for exploration, large-scale multi-center projects including not only in vivo and in vitro modeling, but also temporal sample and material collection along with clinical data capture from multiply injured patients is of utmost importance. To meet this gap, a nationwide biobank for fluidic samples from polytraumatized patients was initiated in 2013 by the task force Network "Trauma Research" (Netzwerk Traumaforschung, NTF) of the German Trauma Society (Deutsche Gesellschaft für Unfallchirurgie e.V., DGU). The NTF-Biobank completes the clinical NTF-Biobank Database and complements the TR-DGU with temporal biological samples from multiply injured patients. The concept behind the idea of the NTF-Biobank was to create a robust interface for meaningful innovative basic, translational and clinical research. For the first time, an integrated platform to prospectively evaluate and monitor candidate biomarkers and/or potential therapeutic targets in biological specimens of quality-controlled and documented patients is introduced, allowing reduction in variability of measurements with high impact due to its large sample size. Thus, the project was introduced to systemically evaluate and monitor multiply injured patients for their (patho-)physiological sequalae together with their clinical treatment strategies applied for overall outcome improval.Entities:
Keywords: Biobank; Consortium; NTF; Registry; Research; Trauma
Mesh:
Year: 2019 PMID: 31324937 PMCID: PMC7280175 DOI: 10.1007/s00068-019-01193-3
Source DB: PubMed Journal: Eur J Trauma Emerg Surg ISSN: 1863-9933 Impact factor: 3.693
Fig. 1The structure of the TraumaRegister DGU® of the German Trauma Society (Deutsche Gesellschaft für Unfallchirurgie, DGU) with its clinical modules, and with the unique scientific add-on “Network Trauma Research Database” provided and supervised by the task force Network “Trauma Research” (Netzwerk Traumaforschung, NTF). The AUC coordinates as a subsidiary of the DGU three different modules via the TR-DGU®: the Pelvic Injury Module, the Traumatic Brain Injury Module and the Gunshot and Explosion Module. TR-DGU® is considered as one of the world’s largest medical trauma registries, and is the representative registry for the care of severely injured patients in Germany. More than 650 hospitals are entering data into the TR-DGU® for both scientific and quality assurance purposes. Additionally, the NTF consortium conceptualized a DGU-funded add-on online Network Trauma Research (NTF) Database, which was technically translated and supported by the AUC. Adjacent to the clinical data sets, the NTF Database is including scientific data, which are obtained from the analyses of biological samples obtained from the NTF-Biobank
Fig. 2The workflow for the clinical and scientific data management with the corresponding review boards. A scientific steering group of the TR-DGU® as indicated in the figure coordinates the data flow of the Trauma Registry DGU®. Further, each module has its own guidelines for the review and data provision as indicated. Additionally to this management of clinical data, the laboratory data from the NTF-Biobank are included in the NTF Database Registry DGU®. Here, the review board as well as the sample and data provision is regulated by the defined by-laws (GO) of the NTF. Thus, the storage of biological samples as well as its inventory management is secured by the NTF-Biobank and the NTF Review board. Briefly, participants in the NTF-Biobank are allowed as defined by the NTF by-laws for a project request on biosamples from the NTF-Biobank and corresponding data from the NTF Database. As indicated in the figure, upon a positive decision by the Review board of the NTF, then, the AUC will manage the provision of the corresponding laboratory and clinical data