Edge AI-deployed DIGItal Twins for PREDICTing Disease Progression and Need for Early Intervention in Infectious and Cardiovascular Diseases Beyond COVID-19 - Investigation of Biomarkers in Dermal Interstitial Fluid
Edge AI-deployed DIGItal Twins for PREDICTing Disease Progression and Need for Early Intervention in Infectious and Cardiovascular Diseases Beyond COVID-19 - Investigation of Biomarkers in Dermal Interstitial Fluid
The study will investigate, if inflammatory and cardio-circulatory biochemical biomarkers are detectable in dermal interstitial fluid (dISF) of heart failure patients, and if there are detectable kinetics of these biomarkers during a cardiopulmonary exercise test. For dISF extraction the PELSA System - an investigational device - will be used.
Inclusion Criteria:
Subject suffers from heart failure (according to ESC 2021 Heart Failure Guidelines).
Age of subject is ≥18 years.
Subject is female or male.
Signed written informed consent.
For female subjects:
Confirmed post-menopausal state, defined as amenorrhea for at least 12 months, or
If being of childbearing potential:
Negative highly sensitive urine or serum pregnancy test before inclusion, and
Practicing a highly effective birth control method (failure rate of less than 1%):
Subject is capable to perform cardiopulmonary exercise testing.
Exclusion Criteria: