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Characterisation and risk stratification of patient subgroups in dilated cardiomyopathy by utilisation of an inflammatory 47-plex-biomarker panel

Inflammation plays a role in the development of heart failure and dilated cardiomyopathy and cytokines are involved in these processes.

There is a clinical need to identify specific biomarkers to enhance diagnosis, treatment decisions and risk stratification in patients with dilated cardiomyopathy. Following promising first results using 13 markers in a Greifswald patient cohort we currently perform measurements of 47 cytokines in this group. The DZHK biosamples are needed to gain further insight into inflammation mediation and to identify subgroups with distinct patterns to enhance our knowledge of inflammation processes and to validate our preliminary results.

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Project Term: 11/2021 - 02/2023
Granted Budget: € 40.000
Research resource used: Resource liquid samples/image data
Keywords: Inflammatory biomarker, classification, machine learning, DCM, risk stratification