CentraXX Involved in the State-Funded Network for the Fight against Sepsis
Within the scope of the leading market competition “LifeSciences.NRW” under the leadership of the “LeitmarktAgentur.NRW” the consortium of the project “SepsisDataNet.NRW – Digitized Pattern Recognition for the Personalized Treatment of Sepsis Patients” received the approval letter from the project executing organization. Amongst the consortium leader of the cooperation project, the university medical center Knappschaftskrankenhaus Bochum, two further research institutes of the Ruhr-Universität Bochum and five other hospitals in NRW belong to the consortium. On the industrial side the AYOXXA Biosystems GmbH, Cologne and the KAIROS GmbH, Bochum provide their expertise to the project.
The LeitmarktAgentur.NRW conducts the leading market competitions on behalf of the state North Rhine-Westphalia. The grants of the state NRW originate from the European Regional Development Fund (EFRE) 2014-2020: “Investments in Growth and Jobs”.
51 competition entries had been submitted in the second round of submission of the leading market competition LifeSciences.NRW. Nine of these submissions impressed the experts so much that they have been suggested for a promotion – one of them being “SepsisDataNet.NRW – Digitized Pattern Recognition for the Personalized Treatment of Sepsis Patients”.
Sepsis – Cause of Death No. 3 in Germany
Causing 165 deaths daily sepsis is the third most common cause of death behind heart attacks in Germany. Against the background that the lethality of 30-50% is very high for patients with severe sepsis, the project goal is – on the basis of the linkage between the participating hospitals – the development of a sepsis-bioassay-prototype and a decision support system. This then is the basis for an individualized therapy aligned with the immune status of the patient. Thus, the number of deaths should decrease significantly. Biomarkers or clinical test methods, which properly characterize the immunological syndrome, do not exist up to now.
The 5 Steps on the Way to the Project Goal
- Data collection according to clinical and molecular biological big data of 1000 patients with severe sepsis by digitalization and linkage of university hospitals in NRW and by involving experts out of the areas of immunology, bioinformatics and intensive care
- Development of a biomaterial bank as a basis for the analyses made during the project and the analyses beyond that.
- Collaboration of various experts in NRW, who characterize the immune system at different stages of a sepsis on that basis of biomarker patterns
- Bundling of clinical data and at the same time collected data for an immunological pattern analysis in terms of bioinformatics
- On the one hand, the processing of data for the AYYOXA GmbH for the development of a sepsis-bioassay-prototype, which gives a score only on the basis of the concentration of soluble biomarkers and which then delivers statements about the immune status and about the patient’s prognosis. On the other hand, the development of a decision support module by the KAIROS GmbH, which does not only increase the sensitivity and the specificity of the newly developed sepsis-bioassay but also supports physicians with personalized therapy decisions through a classification model
The KAIROS GmbH will bring into this project their experience from over 10 years of developing IT-system solutions for the healthcare sector. Within the project KAIROS has two essential tasks: on the one hand, the establishment of a database system or rather the standardization of information and on the other hand, the integration of the needed data.
Therefore, KAIROS implements necessary ports within CentraXX to numerous systems as well as for the communication to the central instance. Added to that, KAIROS is the leading party of the development of the meta data repository and they are responsible for the integration, the monitoring, the testing and, if necessary, the customizing of all components. Finally, KAIROS also develops the decision-support module, which delivers the data-based information which again are needed by physicians and patients in order to make a decision within a decision-support process.